From aa54608e8002a0cc71f13185345cc3e5aea3f406 Mon Sep 17 00:00:00 2001 From: JetSquirrel Date: Sat, 7 Oct 2023 16:01:59 +0000 Subject: [PATCH 001/101] feat: add azure openai --- README.md | 17 +++++++++++------ README_zh.md | 5 +++++ agentverse/llms/openai.py | 35 +++++++++++++++++++++++------------ 3 files changed, 39 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index eba2cfe39..2f915af94 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -⚠️⚠️⚠️ We're presently in the process of refactoring our code to offer you the flexibility to construct both simulation environments (without a predefined goal) and task-solving environments (with a specific goal). Please note that our README is currently outdated, we will update it very soon. If you require a stable version of our code that exclusively supports simulation environments, you can find it in our [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. +⚠️⚠️⚠️ We're refactoring the code in process, and goal is provid a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that README is outdated, we will update it soon. If you require a stable version code that exclusively supports simulation environments, you can using [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. --- @@ -79,7 +79,7 @@ In the NLP class, the professor and students engage in interactive communication Use the following command to launch the NLP Classroom example: ```bash -python main_demo.py --task nlp_classroom_9players +python main_simulation_gui.py --task nlp_classroom_9players ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/6ea07850-595e-4a28-a82e-f863011353c2 @@ -90,7 +90,7 @@ A prisoner's Dilemma is a thought experiment that challenges two completely rati Use the following command to launch the Prisoner Dilemma example: ```bash -python main_demo.py --task prisoner_dilemma +python main_simulation_cli.py --task prisoner_dilemma ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/017c46e5-c738-4fca-9352-b008e2d518bd @@ -112,7 +112,7 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/5058066a-abee-490d-8659-b4 In the database diagnosis scenario, the Chief DBA monitors the system anomalies (e.g., slow queries, locks, crash down). If detected, the domain experts are alerted to analyze root causes, share insights, and suggest optimization solutions together. The Chief DBA then provides a summarized report to the user. ```bash -python main_demo.py --task db_diag +python main_simulation_gui.py --task db_diag ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/c633419d-afbb-47d4-bb12-6bb512e7af3a @@ -195,11 +195,16 @@ pip install -r requirements.txt ``` Some users have reported problems installing the `orjson` required by `gradio`. One simple workaround is to install it with Anaconda `conda install -c conda-forge orjson`. -You also need to export your OpenAI API key as follows +You also need to export your OpenAI API key as follows： ```bash # Export your OpenAI API key export OPENAI_API_KEY="your_api_key_here" ``` +If you want use Azure OpenAI services, pleas export your Azure OpenAI key and OpenAI API base as follows： +```bash +export AZURE_OPENAI_API_KEY="your_api_key_here" +export AZURE_OPENAI_API_BASE="your_api_base_here" +``` If you want to use the tools provided by BMTools, you need to install BMTools as follows: ```bash @@ -231,7 +236,7 @@ python3 main.py --task nlp_classroom_9players We also provide a local website demo for this environment. You can launch it with ```shell -python3 main_demo.py --task nlp_classroom_9players +python3 main_simulation_gui.py --task nlp_classroom_9players ``` After successfully launching the local server, you can visit [http://127.0.0.1:7860/](http://127.0.0.1:7860/) to view the classroom environment. diff --git a/README_zh.md b/README_zh.md index 4de51148c..988dacaf5 100644 --- a/README_zh.md +++ b/README_zh.md @@ -198,6 +198,11 @@ pip install -r requirements.txt # 导出你的OpenAI API密钥 export OPENAI_API_KEY="your_api_key_here" ``` +或者您想使用 Azure OpenAI 服务，请按照以下方式配置 OpenAI API 密钥和 API base： +```bash +export AZURE_OPENAI_API_KEY="your_api_key_here" +export AZURE_OPENAI_API_BASE="your_api_base_here" +``` 如果您想使用BMTools提供的工具，您需要按如下方式安装BMTools： ```bash diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index d7ea57a78..cdf72d99b 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -24,21 +24,27 @@ is_openai_available = False logging.warning("openai package is not installed") else: - openai.api_key = os.environ.get("OPENAI_API_KEY") # openai.proxy = os.environ.get("http_proxy") # if openai.proxy is None: # openai.proxy = os.environ.get("HTTP_PROXY") - if openai.api_key is None: + if os.environ.get("OPENAI_API_KEY")!=None: + openai.api_key = os.environ.get("OPENAI_API_KEY") + is_openai_available = True + elif os.environ.get("AZURE_OPENAI_API_KEY")!=None: + openai.api_type = "azure" + openai.api_key = os.environ.get("AZURE_OPENAI_API_KEY") + openai.api_base = os.environ.get("AZURE_OPENAI_API_BASE") + openai.api_version = "2023-05-15" + is_openai_available = True + else: logging.warning( "OpenAI API key is not set. Please set the environment variable OPENAI_API_KEY" ) - is_openai_available = False - else: - is_openai_available = True - + is_openai_available = False class OpenAIChatArgs(BaseModelArgs): model: str = Field(default="gpt-3.5-turbo") + deployment_id: str = Field(default="gpt-35-turbo") max_tokens: int = Field(default=2048) temperature: float = Field(default=1.0) top_p: int = Field(default=1) @@ -86,7 +92,7 @@ class OpenAIChatArgs(BaseModelArgs): # ) -@llm_registry.register("gpt-3.5-turbo") +@llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-4") class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) @@ -94,7 +100,7 @@ class OpenAIChat(BaseChatModel): def __init__(self, max_retry: int = 3, **kwargs): args = OpenAIChatArgs() args = args.dict() - + for k, v in args.items(): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: @@ -121,7 +127,7 @@ def generate_response( try: # Execute function call - if functions != []: + if functions != []: response = openai.ChatCompletion.create( messages=messages, functions=functions, @@ -283,9 +289,14 @@ def construct_messages( def get_embedding(text: str, attempts=3) -> np.array: try: text = text.replace("\n", " ") - embedding = openai.Embedding.create( - input=[text], model="text-embedding-ada-002" - )["data"][0]["embedding"] + if openai.api_type=="azure": + embedding = openai.Embedding.create( + input=[text], deployment_id="text-embedding-ada-002" + )["data"][0]["embedding"] + else: + embedding = openai.Embedding.create( + input=[text], model="text-embedding-ada-002" + )["data"][0]["embedding"] return tuple(embedding) except Exception as e: attempt += 1 From 6045f491fb7c01172752c1ba643611a027b0ef24 Mon Sep 17 00:00:00 2001 From: JetSquirrel Date: Sun, 8 Oct 2023 04:04:35 +0000 Subject: [PATCH 002/101] fix miss register --- agentverse/llms/openai.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index cdf72d99b..f523f67ed 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -91,8 +91,8 @@ class OpenAIChatArgs(BaseModelArgs): # total_tokens=response["usage"]["total_tokens"], # ) - @llm_registry.register("gpt-35-turbo") +@llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) @@ -100,21 +100,19 @@ class OpenAIChat(BaseChatModel): def __init__(self, max_retry: int = 3, **kwargs): args = OpenAIChatArgs() args = args.dict() - for k, v in args.items(): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: logging.warning(f"Unused arguments: {kwargs}") super().__init__(args=args, max_retry=max_retry) - # def _construct_messages(self, history: List[Message]): # return history + [{"role": "user", "content": query}] - @retry( stop=stop_after_attempt(20), wait=wait_exponential(multiplier=1, min=4, max=10), reraise=True, ) + def generate_response( self, prepend_prompt: str = "", @@ -124,7 +122,6 @@ def generate_response( ) -> LLMResult: messages = self.construct_messages(prepend_prompt, history, append_prompt) logger.log_prompt(messages) - try: # Execute function call if functions != []: From e762c1e2a942d9faacec7b6901abb505838b518a Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Sun, 8 Oct 2023 12:11:10 +0800 Subject: [PATCH 003/101] Update README.md --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 2f915af94..358a22e6d 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -⚠️⚠️⚠️ We're refactoring the code in process, and goal is provid a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that README is outdated, we will update it soon. If you require a stable version code that exclusively supports simulation environments, you can using [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. +⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. --- @@ -199,7 +199,11 @@ You also need to export your OpenAI API key as follows： ```bash # Export your OpenAI API key export OPENAI_API_KEY="your_api_key_here" +# Or if you are using Azure +export AZURE_OPENAI_API_KEY="your_api_key_here" +export AZURE_OPENAI_API_BASE="your_api_base_here" ``` + If you want use Azure OpenAI services, pleas export your Azure OpenAI key and OpenAI API base as follows： ```bash export AZURE_OPENAI_API_KEY="your_api_key_here" From f717bc0500084537f6f479d13047fc4b8780f4bc Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Sun, 8 Oct 2023 12:52:14 +0800 Subject: [PATCH 004/101] fix: openai llm default parameter and the missing import of bmtools #46 --- .../environments/simulation_env/sde_team.py | 16 +++++-- .../simulation_env/sde_team_given_tests.py | 2 +- agentverse/initialization.py | 42 +++++++++++-------- agentverse/llms/openai.py | 20 +++++---- 4 files changed, 50 insertions(+), 30 deletions(-) diff --git a/agentverse/environments/simulation_env/sde_team.py b/agentverse/environments/simulation_env/sde_team.py index b34376929..325c1eac0 100644 --- a/agentverse/environments/simulation_env/sde_team.py +++ b/agentverse/environments/simulation_env/sde_team.py @@ -12,7 +12,7 @@ from .. import env_registry as EnvironmentRegistry from ..base import BaseEnvironment -# from agentverse.initialization import load_tools +from agentverse.initialization import load_tools @EnvironmentRegistry.register("sde_team") @@ -56,8 +56,18 @@ def __init__(self, rule, **kwargs): self.rule_params["end_flag"] = False # # Test code - # self.rule_params["name_to_tools"] = {tool.name: tool for tool in load_tools([{"tool_name": "code_interpreter", "tool_url" : "http://127.0.0.1:8079/tools/code_interpreter/"}])} - # tool = self.rule_params["name_to_tools"]["execute_unit_tests"] + self.rule_params["name_to_tools"] = { + tool.name: tool + for tool in load_tools( + [ + { + "tool_name": "code_interpreter", + "tool_url": "http://127.0.0.1:8079/tools/code_interpreter/", + } + ] + ) + } + tool = self.rule_params["name_to_tools"]["execute_unit_tests"] # print(type(tool)) # d = { diff --git a/agentverse/environments/simulation_env/sde_team_given_tests.py b/agentverse/environments/simulation_env/sde_team_given_tests.py index bbc9331f9..fdef4a863 100644 --- a/agentverse/environments/simulation_env/sde_team_given_tests.py +++ b/agentverse/environments/simulation_env/sde_team_given_tests.py @@ -12,7 +12,7 @@ from .. import env_registry as EnvironmentRegistry from ..base import BaseEnvironment -# from agentverse.initialization import load_tools +from agentverse.initialization import load_tools @EnvironmentRegistry.register("sde_team_given_tests") diff --git a/agentverse/initialization.py b/agentverse/initialization.py index d733dc383..cc6e3cd42 100644 --- a/agentverse/initialization.py +++ b/agentverse/initialization.py @@ -5,11 +5,12 @@ import yaml -# try: -# from bmtools.agent.singletool import import_all_apis, load_single_tools -# except: -# print("BMTools is not installed, tools cannot be used. To install BMTools, \ -# please follow the instruction in the README.md file.") +try: + from bmtools.agent.singletool import import_all_apis, load_single_tools +except: + print( + "BMTools is not installed, tools in the simulation environment cannot be used. To install BMTools, please follow the instruction in the README.md file." + ) from agentverse.llms import llm_registry @@ -34,19 +35,24 @@ def load_memory(memory_config: Dict): memory_type = memory_config.pop("memory_type", "chat_history") return memory_registry.build(memory_type, **memory_config) + def load_memory_manipulator(memory_manipulator_config: Dict): - memory_manipulator_type = memory_manipulator_config.pop("memory_manipulator_type", "basic") - return memory_manipulator_registry.build(memory_manipulator_type, **memory_manipulator_config) + memory_manipulator_type = memory_manipulator_config.pop( + "memory_manipulator_type", "basic" + ) + return memory_manipulator_registry.build( + memory_manipulator_type, **memory_manipulator_config + ) -# def load_tools(tool_config: List[Dict]): -# if len(tool_config) == 0: -# return [] -# all_tools_list = [] -# for tool in tool_config: -# _, config = load_single_tools(tool["tool_name"], tool["tool_url"]) -# all_tools_list += import_all_apis(config) -# return all_tools_list +def load_tools(tool_config: List[Dict]): + if len(tool_config) == 0: + return [] + all_tools_list = [] + for tool in tool_config: + _, config = load_single_tools(tool["tool_name"], tool["tool_url"]) + all_tools_list += import_all_apis(config) + return all_tools_list def load_environment(env_config: Dict) -> BaseEnvironment: @@ -93,10 +99,12 @@ def prepare_task_config(task): llm = load_llm(agent_configs.get("llm", "text-davinci-003")) agent_configs["llm"] = llm - memory_manipulator = load_memory_manipulator(agent_configs.get("memory_manipulator", {})) + memory_manipulator = load_memory_manipulator( + agent_configs.get("memory_manipulator", {}) + ) agent_configs["memory_manipulator"] = memory_manipulator - # agent_configs["tools"] = load_tools(agent_configs.get("tools", [])) + agent_configs["tools"] = load_tools(agent_configs.get("tools", [])) # Build the output parser output_parser_config = agent_configs.get("output_parser", {"type": "dummy"}) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index f523f67ed..22f1bb061 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -27,24 +27,25 @@ # openai.proxy = os.environ.get("http_proxy") # if openai.proxy is None: # openai.proxy = os.environ.get("HTTP_PROXY") - if os.environ.get("OPENAI_API_KEY")!=None: + if os.environ.get("OPENAI_API_KEY") != None: openai.api_key = os.environ.get("OPENAI_API_KEY") is_openai_available = True - elif os.environ.get("AZURE_OPENAI_API_KEY")!=None: + elif os.environ.get("AZURE_OPENAI_API_KEY") != None: openai.api_type = "azure" - openai.api_key = os.environ.get("AZURE_OPENAI_API_KEY") + openai.api_key = os.environ.get("AZURE_OPENAI_API_KEY") openai.api_base = os.environ.get("AZURE_OPENAI_API_BASE") openai.api_version = "2023-05-15" - is_openai_available = True + is_openai_available = True else: logging.warning( "OpenAI API key is not set. Please set the environment variable OPENAI_API_KEY" ) - is_openai_available = False + is_openai_available = False + class OpenAIChatArgs(BaseModelArgs): model: str = Field(default="gpt-3.5-turbo") - deployment_id: str = Field(default="gpt-35-turbo") + deployment_id: str = Field(default=None) max_tokens: int = Field(default=2048) temperature: float = Field(default=1.0) top_p: int = Field(default=1) @@ -91,6 +92,7 @@ class OpenAIChatArgs(BaseModelArgs): # total_tokens=response["usage"]["total_tokens"], # ) + @llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") @@ -105,6 +107,7 @@ def __init__(self, max_retry: int = 3, **kwargs): if len(kwargs) > 0: logging.warning(f"Unused arguments: {kwargs}") super().__init__(args=args, max_retry=max_retry) + # def _construct_messages(self, history: List[Message]): # return history + [{"role": "user", "content": query}] @retry( @@ -112,7 +115,6 @@ def __init__(self, max_retry: int = 3, **kwargs): wait=wait_exponential(multiplier=1, min=4, max=10), reraise=True, ) - def generate_response( self, prepend_prompt: str = "", @@ -124,7 +126,7 @@ def generate_response( logger.log_prompt(messages) try: # Execute function call - if functions != []: + if functions != []: response = openai.ChatCompletion.create( messages=messages, functions=functions, @@ -286,7 +288,7 @@ def construct_messages( def get_embedding(text: str, attempts=3) -> np.array: try: text = text.replace("\n", " ") - if openai.api_type=="azure": + if openai.api_type == "azure": embedding = openai.Embedding.create( input=[text], deployment_id="text-embedding-ada-002" )["data"][0]["embedding"] From 62676a1603c39026b704d3d4028e9f217884b42e Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Sun, 8 Oct 2023 13:36:12 +0800 Subject: [PATCH 005/101] fix: critic agent initialization argument error --- agentverse/agents/tasksolving_agent/critic.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/agentverse/agents/tasksolving_agent/critic.py b/agentverse/agents/tasksolving_agent/critic.py index 59feb58ad..f6aeae3ca 100644 --- a/agentverse/agents/tasksolving_agent/critic.py +++ b/agentverse/agents/tasksolving_agent/critic.py @@ -38,13 +38,13 @@ def __init__(self, *args, **kwargs): tool_descriptions = "\n".join( [f"- {t['name']}: " + t["description"] for t in tools] ) + kwargs.update('tools', tools) + kwargs.update('tool_names', tool_names) + kwargs.update('tool_descriptions', tool_descriptions) except Exception as e: logger.error(e) logger.warn("Failed to load tool config file.") super().__init__( - tools=tools, - tool_names=tool_names, - tool_descriptions=tool_descriptions, *args, **kwargs, ) From ad67c700694c2f0a34040581c92ddf3e86ef170d Mon Sep 17 00:00:00 2001 From: yitong <2969413251@qq.com> Date: Sun, 8 Oct 2023 13:46:21 +0800 Subject: [PATCH 006/101] ci: add a Github Actions workflow for smoke test --- .github/workflows/test.yml | 34 ++++++++++++++++++++++++++++++++++ data/mgsm/test_sample.jsonl | 1 + evaluate_math.py | 3 +++ requirements.txt | 3 ++- 4 files changed, 40 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/test.yml create mode 100644 data/mgsm/test_sample.jsonl diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 000000000..50cda2c13 --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,34 @@ +name: Test + +on: [push, pull_request] + +jobs: + test: + runs-on: ${{ matrix.os }} + if: "!contains(github.event.head_commit.message, 'ci skip')" + strategy: + matrix: + os: [macos-latest, windows-latest, ubuntu-latest] + steps: + - name: Cancel previous run + uses: styfle/cancel-workflow-action@0.11.0 + with: + access_token: ${{ github.token }} + - uses: actions/checkout@v3 + - name: Set up Python 3.9 + uses: actions/setup-python@v4 + with: + python-version: 3.9 + - name: Upgrade pip + run: | + python -m pip install --upgrade pip setuptools wheel + - name: Install dependencies + run: | + python -m pip install -r requirements.txt + - name: Test + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_ORGANIZATION: ${{ secrets.OPENAI_ORGANIZATION }} + run: | + python benchmark.py --task tasksolving/mgsm/gpt-3.5 --dataset_path data/mgsm/test_sample.jsonl --overwrite --output_path ci_smoke_test_output + python evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test \ No newline at end of file diff --git a/data/mgsm/test_sample.jsonl b/data/mgsm/test_sample.jsonl new file mode 100644 index 000000000..bdd20eb46 --- /dev/null +++ b/data/mgsm/test_sample.jsonl @@ -0,0 +1 @@ +{"question": "Sophia is thinking of taking a road trip in her car, and would like to know how far she can drive on a single tank of gas. She has traveled 100 miles since last filling her tank, and she needed to put in 4 gallons of gas to fill it up again. The owner's manual for her car says that her tank holds 12 gallons of gas. How many miles can Sophia drive on a single tank of gas?", "answer": null, "answer_number": 300, "equation_solution": null} \ No newline at end of file diff --git a/evaluate_math.py b/evaluate_math.py index 44399da32..189c05a5d 100644 --- a/evaluate_math.py +++ b/evaluate_math.py @@ -7,6 +7,7 @@ parser = ArgumentParser() parser.add_argument("--path", type=str, required=True) parser.add_argument("--max_line", type=int, default=1000000000000) +parser.add_argument("--ci_smoke_test", action="store_true") args = parser.parse_args() @@ -88,3 +89,5 @@ def check_corr(result: str, correct_solution: str, tol: float = 1e-3): err_cnts.append(err_cnt) print(final_accs) print(err_cnts) +if args.ci_smoke_test is True: + assert final_accs[0] == 1.0 diff --git a/requirements.txt b/requirements.txt index f52faa286..dc4985600 100644 --- a/requirements.txt +++ b/requirements.txt @@ -15,4 +15,5 @@ typing-extensions==4.5.0 typing-inspect==0.8.0 colorlog rapidfuzz -spacy \ No newline at end of file +spacy +colorama==0.4.6 \ No newline at end of file From 5bbd35514684bb3ae2bd534b11d193a7a26e0b16 Mon Sep 17 00:00:00 2001 From: Kieran Gill Date: Sun, 8 Oct 2023 12:03:15 -0400 Subject: [PATCH 007/101] report spend at the end of a task solving session --- agentverse/agents/base.py | 9 ++++ agentverse/environments/base.py | 5 +++ .../environments/tasksolving_env/basic.py | 23 ++++++++++ agentverse/llms/base.py | 7 +++ agentverse/llms/openai.py | 43 +++++++++++++++++++ agentverse/tasksolving.py | 8 ++-- 6 files changed, 92 insertions(+), 3 deletions(-) diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py index 8d515b06d..411848743 100644 --- a/agentverse/agents/base.py +++ b/agentverse/agents/base.py @@ -48,6 +48,15 @@ def add_message_to_memory(self, messages: List[Message]) -> None: """Add a message to the memory""" pass + def get_spend(self) -> int: + return self.llm.get_spend() + + def get_spend_formatted(self) -> int: + two_trailing = f"${self.get_spend():.2f}" + if two_trailing == "$0.00": + return f"${self.get_spend():.6f}" + return two_trailing + def get_all_prompts(self, **kwargs): prepend_prompt = Template(self.prepend_prompt_template).safe_substitute( **kwargs diff --git a/agentverse/environments/base.py b/agentverse/environments/base.py index ab0c0db54..9d5ad0be3 100644 --- a/agentverse/environments/base.py +++ b/agentverse/environments/base.py @@ -46,6 +46,11 @@ def reset(self) -> None: """Reset the environment""" pass + @abstractmethod + def report_metrics(self) -> None: + """Report useful metrics""" + pass + def is_done(self) -> bool: """Check if the environment is done""" return self.cnt_turn >= self.max_turns diff --git a/agentverse/environments/tasksolving_env/basic.py b/agentverse/environments/tasksolving_env/basic.py index a8efebc63..8e4631a24 100644 --- a/agentverse/environments/tasksolving_env/basic.py +++ b/agentverse/environments/tasksolving_env/basic.py @@ -108,6 +108,29 @@ async def step( self.cnt_turn += 1 return flatten_result, advice, flatten_plan, logs, self.success + def iter_agents(self): + for role, agent_or_agents in self.agents.items(): + if isinstance(agent_or_agents, list): + for agent in agent_or_agents: + yield role, agent + else: + yield role, agent_or_agents + + def get_spend(self): + total_spent = sum([agent.get_spend() for (_, agent) in self.iter_agents()]) + return total_spent + + def report_metrics(self) -> None: + logger.info("", "Agent spend:", Fore.GREEN) + for role, agent in self.iter_agents(): + name = agent.name.split(":")[0] + logger.info( + "", + f"Agent (Role: {role}) {name}: {agent.get_spend_formatted()}", + Fore.GREEN, + ) + logger.info("", f"Total spent: ${self.get_spend():.6f}", Fore.GREEN) + def is_done(self): """Check if the environment is done""" return self.cnt_turn >= self.max_turn or self.success diff --git a/agentverse/llms/base.py b/agentverse/llms/base.py index 71e6630ef..b759fb281 100644 --- a/agentverse/llms/base.py +++ b/agentverse/llms/base.py @@ -21,6 +21,13 @@ class BaseLLM(BaseModel): args: BaseModelArgs = Field(default_factory=BaseModelArgs) max_retry: int = Field(default=3) + @abstractmethod + def get_spend(self) -> float: + """ + Number of USD spent + """ + return -1.0 + @abstractmethod def generate_response(self, **kwargs) -> LLMResult: pass diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 22f1bb061..3b7409cf2 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -99,6 +99,9 @@ class OpenAIChatArgs(BaseModelArgs): class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) + total_prompt_tokens: int = 0 + total_completion_tokens: int = 0 + def __init__(self, max_retry: int = 3, **kwargs): args = OpenAIChatArgs() args = args.dict() @@ -133,6 +136,7 @@ def generate_response( **self.args.dict(), ) if response["choices"][0]["message"].get("function_call") is not None: + self.collect_metrics(response) return LLMResult( content=response["choices"][0]["message"].get("content", ""), function_name=response["choices"][0]["message"][ @@ -148,6 +152,7 @@ def generate_response( total_tokens=response["usage"]["total_tokens"], ) else: + self.collect_metrics(response) return LLMResult( content=response["choices"][0]["message"]["content"], send_tokens=response["usage"]["prompt_tokens"], @@ -160,6 +165,7 @@ def generate_response( messages=messages, **self.args.dict(), ) + self.collect_metrics(response) return LLMResult( content=response["choices"][0]["message"]["content"], send_tokens=response["usage"]["prompt_tokens"], @@ -235,6 +241,7 @@ async def agenerate_response( raise ValueError( "The returned argument in function call is not valid json." ) + self.collect_metrics(response) return LLMResult( function_name=function_name, function_arguments=arguments, @@ -244,6 +251,7 @@ async def agenerate_response( ) else: + self.collect_metrics(response) return LLMResult( content=response["choices"][0]["message"]["content"], send_tokens=response["usage"]["prompt_tokens"], @@ -258,6 +266,7 @@ async def agenerate_response( messages=messages, **self.args.dict(), ) + self.collect_metrics(response) return LLMResult( content=response["choices"][0]["message"]["content"], send_tokens=response["usage"]["prompt_tokens"], @@ -279,6 +288,40 @@ def construct_messages( messages.append({"role": "user", "content": append_prompt}) return messages + def collect_metrics(self, response): + self.total_prompt_tokens += response["usage"]["prompt_tokens"] + self.total_completion_tokens += response["usage"]["completion_tokens"] + + def get_spend(self) -> int: + input_cost_map = { + "gpt-3.5-turbo": 0.0015, + "gpt-3.5-turbo-16k": 0.003, + "gpt-3.5-turbo-0613": 0.0015, + "gpt-3.5-turbo-16k-0613": 0.003, + "gpt-4": 0.03, + "gpt-4-0613": 0.03, + "gpt-4-32k": 0.06, + } + + output_cost_map = { + "gpt-3.5-turbo": 0.002, + "gpt-3.5-turbo-16k": 0.004, + "gpt-3.5-turbo-0613": 0.002, + "gpt-3.5-turbo-16k-0613": 0.004, + "gpt-4": 0.06, + "gpt-4-0613": 0.06, + "gpt-4-32k": 0.12, + } + + model = self.args.model + if model not in input_cost_map or model not in output_cost_map: + raise ValueError(f"Model type {model} not supported") + + return ( + self.total_prompt_tokens * input_cost_map[model] / 1000.0 + + self.total_completion_tokens * output_cost_map[model] / 1000.0 + ) + @retry( stop=stop_after_attempt(3), diff --git a/agentverse/tasksolving.py b/agentverse/tasksolving.py index 348ee707a..b90b81b0e 100644 --- a/agentverse/tasksolving.py +++ b/agentverse/tasksolving.py @@ -67,7 +67,8 @@ def run(self): self.environment.step(advice, previous_plan) ) self.logs += logs - self.save_result(previous_plan, result) + self.environment.report_metrics() + self.save_result(previous_plan, result, self.environment.get_spend()) return previous_plan, result, self.logs def singleagent_thinking(self, preliminary_solution, advice) -> str: @@ -80,10 +81,11 @@ def singleagent_thinking(self, preliminary_solution, advice) -> str: def reset(self): self.environment.reset() - def save_result(self, plan: str, result: str): + def save_result(self, plan: str, result: str, spend: float): """Save the result to the result file""" - result_file_path = "../results/" + self.task + ".txt" + result_file_path = "./results/" + self.task + ".txt" os.makedirs(os.path.dirname(result_file_path), exist_ok=True) with open(result_file_path, "w") as f: f.write("[Final Plan]\n" + plan + "\n\n") f.write("[Result]\n" + result) + f.write(f"[Spent]\n${spend}") From 031d3d9acd5254a16d0d93dbdbfbc6771a77fcb3 Mon Sep 17 00:00:00 2001 From: Kieran Gill Date: Sun, 8 Oct 2023 12:21:52 -0400 Subject: [PATCH 008/101] remove abstract requirement --- agentverse/environments/base.py | 1 - 1 file changed, 1 deletion(-) diff --git a/agentverse/environments/base.py b/agentverse/environments/base.py index 9d5ad0be3..2e151e3cd 100644 --- a/agentverse/environments/base.py +++ b/agentverse/environments/base.py @@ -46,7 +46,6 @@ def reset(self) -> None: """Reset the environment""" pass - @abstractmethod def report_metrics(self) -> None: """Report useful metrics""" pass From f6d60c075e8ba4764ed50d54bca15599b5002c03 Mon Sep 17 00:00:00 2001 From: Kieran Gill Date: Sun, 8 Oct 2023 12:52:27 -0400 Subject: [PATCH 009/101] report metrics for simulations --- agentverse/agents/base.py | 4 ++-- agentverse/environments/base.py | 3 +++ agentverse/simulation.py | 1 + 3 files changed, 6 insertions(+), 2 deletions(-) diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py index 411848743..084bc5135 100644 --- a/agentverse/agents/base.py +++ b/agentverse/agents/base.py @@ -48,10 +48,10 @@ def add_message_to_memory(self, messages: List[Message]) -> None: """Add a message to the memory""" pass - def get_spend(self) -> int: + def get_spend(self) -> float: return self.llm.get_spend() - def get_spend_formatted(self) -> int: + def get_spend_formatted(self) -> str: two_trailing = f"${self.get_spend():.2f}" if two_trailing == "$0.00": return f"${self.get_spend():.6f}" diff --git a/agentverse/environments/base.py b/agentverse/environments/base.py index 2e151e3cd..7767dc248 100644 --- a/agentverse/environments/base.py +++ b/agentverse/environments/base.py @@ -1,4 +1,5 @@ from __future__ import annotations +from agentverse.logging import logger from abc import abstractmethod from typing import TYPE_CHECKING, Any, Dict, List @@ -48,6 +49,8 @@ def reset(self) -> None: def report_metrics(self) -> None: """Report useful metrics""" + total_spent = sum([agent.get_spend() for agent in self.agents]) + logger.info(f"Total spent: ${total_spent}") pass def is_done(self) -> bool: diff --git a/agentverse/simulation.py b/agentverse/simulation.py index 406b9b982..f4d3dc982 100644 --- a/agentverse/simulation.py +++ b/agentverse/simulation.py @@ -43,6 +43,7 @@ def run(self): self.environment.reset() while not self.environment.is_done(): asyncio.run(self.environment.step()) + self.environment.report_metrics() def reset(self): self.environment.reset() From bc58c022ba0b96245753fb73bf05ce2b0e318acd Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 9 Oct 2023 13:25:35 +0800 Subject: [PATCH 010/101] update README.md --- .github/workflows/test.yml | 8 ++++- README.md | 70 ++++++++++++++++++++++++-------------- 2 files changed, 52 insertions(+), 26 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 50cda2c13..fa9454dfb 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -1,6 +1,12 @@ name: Test -on: [push, pull_request] +on: + push: + branches: + - main + pull_request: + branches: + - main jobs: test: diff --git a/README.md b/README.md index 358a22e6d..ed3a7526b 100644 --- a/README.md +++ b/README.md @@ -3,12 +3,22 @@

A Framework for Multi-LLM Environment Simulation

+

License: Apache2 - Documentation + Python Version + + + Build + + + Code Style: Black + + + Contributions: Welcome

@@ -22,7 +32,7 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. +⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is slightly outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. --- @@ -35,10 +45,12 @@ - 🛠 **Tools (Plugins) Utilization**: AgentVerse supports the multi-agent environments with tools. Currently, AgentVerse supports tools provided in [BMTools](https://github.com/OpenBMB/BMTools). ## 📰 What's New +- [2023/10/5] 💡 We release the code of our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848), and refactor our codebase to enable the creation of both simulation and task-solving environment! + - [2023/8/22] 📝 We're excited to share our work-in-progress paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) related to this repository. +

Screen Shot 2023-09-01 at 12 08 57 PM - -You could refer the stay-tuned code in this [branch](https://github.com/OpenBMB/AgentVerse/tree/AgentVerse-TaskSolving). +

- [2023/6/5] 🎉 We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! - [2023/5/1] 🚀 [AgentVerse](https://github.com/OpenBMB/AgentVerse) is officially launched! @@ -57,11 +69,10 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg Also, if you're passionate about advancing the frontiers of multi-agent environments and are eager to dive deeper into research, we invite you to join our team at THUNLP. To explore this exciting opportunity and embark on a collaborative journey with us, please reach out to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com) and express your interest. We're keen to welcome motivated individuals like you to our lab! ## 🗓 Coming Soon -- [ ] Code release of our [paper](https://arxiv.org/abs/2308.10848) +- [x] Code release of our [paper](https://arxiv.org/abs/2308.10848) - [ ] Add documentation - [ ] Support more sophisticated memory for conversation history - [ ] Add support for local LLM -- [ ] Auto-generate UI based on the given multi-agent environment ## 👾 Simple Demo Video @@ -79,7 +90,7 @@ In the NLP class, the professor and students engage in interactive communication Use the following command to launch the NLP Classroom example: ```bash -python main_simulation_gui.py --task nlp_classroom_9players +python main_simulation_gui.py --task simulation/nlp_classroom_9players ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/6ea07850-595e-4a28-a82e-f863011353c2 @@ -90,7 +101,7 @@ A prisoner's Dilemma is a thought experiment that challenges two completely rati Use the following command to launch the Prisoner Dilemma example: ```bash -python main_simulation_cli.py --task prisoner_dilemma +python main_simulation_cli.py --task simulation/prisoner_dilemma ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/017c46e5-c738-4fca-9352-b008e2d518bd @@ -101,7 +112,7 @@ In the Software Design example, a code writer, a code tester and a code reviewer Use the following command to launch the Software Design example: ```bash -python main_demo.py --task sde_team/sde_team_2players +python main_demo.py --task simulation/sde_team/sde_team_2players ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/5058066a-abee-490d-8659-b4e54661626a @@ -112,7 +123,7 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/5058066a-abee-490d-8659-b4 In the database diagnosis scenario, the Chief DBA monitors the system anomalies (e.g., slow queries, locks, crash down). If detected, the domain experts are alerted to analyze root causes, share insights, and suggest optimization solutions together. The Chief DBA then provides a summarized report to the user. ```bash -python main_simulation_gui.py --task db_diag +python main_simulation_gui.py --task simulation/db_diag ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/c633419d-afbb-47d4-bb12-6bb512e7af3a @@ -124,7 +135,7 @@ In the context of the text evaluation scenario, we recommend users explore the [ https://github.com/OpenBMB/AgentVerse/assets/75533759/58f33468-f15b-4bac-ae01-8d0780019f85 #### Pokemon -In the game, agents can visit shops, train their Pokémon at the gym, and interact with one another. As a player, you take on the role of an agent and can engage with others at any time. There are 6 characters in the Pokémon environment who appeared in Pokemon Emerald: [May](https://bulbapedia.bulbagarden.net/wiki/May_(game)), [Professor Birch](https://bulbapedia.bulbagarden.net/wiki/Professor_Birch), [Steven Stone](https://bulbapedia.bulbagarden.net/wiki/Steven_Stone), [Maxie](https://bulbapedia.bulbagarden.net/wiki/Maxie), [Archie](https://bulbapedia.bulbagarden.net/wiki/Archie) and [Joseph](https://bulbapedia.bulbagarden.net/wiki/Mr._Stone). +**Currently available only in [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0)**. In the game, agents can walk around the game world, and interact with one another. As a player, you take on the role of an agent and can engage with others at any time. There are 6 characters in the Pokémon environment who appeared in Pokemon Emerald: [May](https://bulbapedia.bulbagarden.net/wiki/May_(game)), [Professor Birch](https://bulbapedia.bulbagarden.net/wiki/Professor_Birch), [Steven Stone](https://bulbapedia.bulbagarden.net/wiki/Steven_Stone), [Maxie](https://bulbapedia.bulbagarden.net/wiki/Maxie), [Archie](https://bulbapedia.bulbagarden.net/wiki/Archie) and [Joseph](https://bulbapedia.bulbagarden.net/wiki/Mr._Stone). To launch the Pokemon game, first launch a local server with the following command: ```bash @@ -162,8 +173,9 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 - [Contents](#contents) - [🚀 Getting Started](#-getting-started) - [Installation](#installation) - - [CLI Example](#cli-example) - - [Local Website Demo](#local-website-demo) + - [Simulation CLI Example](#simulation-cli-example) + - [Simulation Local Website Demo](#simulation-local-website-demo) + - [Task-Solving CLI Example](#task-solving-cli-example) - [💡 Philosophy](#-philosophy) - [Environment](#environment) - [Agent](#agent) @@ -227,23 +239,33 @@ cd BMTools python setup.py develop --> -### CLI Example +### Simulation CLI Example You can create a multi-agent environments provided by us. Using the classroom scenario as an example. In this scenario, there are nine agents, one playing the role of a professor and the other eight as students. ```shell -python3 main.py --task nlp_classroom_9players +python3 main_simulation_cli.py --task simulation/nlp_classroom_9players ``` -### Local Website Demo +### Simulation Local Website Demo We also provide a local website demo for this environment. You can launch it with ```shell -python3 main_simulation_gui.py --task nlp_classroom_9players +python3 main_simulation_gui.py --task simulation/nlp_classroom_9players ``` After successfully launching the local server, you can visit [http://127.0.0.1:7860/](http://127.0.0.1:7860/) to view the classroom environment. +### Task-Solving CLI Example + +To run the experiments with the task-solving environment proposed in our [paper](https://arxiv.org/abs/2308.10848), you can use the following command: + +```shell +# Run the Humaneval benchmark using gpt-3.5-turbo +python3 main_tasksolving_cli.py --task tasksolving/humaneval/gpt-3.5 --dataset_path data/humaneval/test.jsonl --overwrite +``` + +You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. ## 💡 Philosophy @@ -374,19 +396,17 @@ Here's a brief overview of each example: ## Citation If you find this repo helpful, feel free to cite us. ``` -@misc{chen2023agentverse, - title={AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents}, - author={Weize Chen and Yusheng Su and Jingwei Zuo and Cheng Yang and Chenfei Yuan and Chen Qian and Chi-Min Chan and Yujia Qin and Yaxi Lu and Ruobing Xie and Zhiyuan Liu and Maosong Sun and Jie Zhou}, - year={2023}, - eprint={2308.10848}, - archivePrefix={arXiv}, - primaryClass={cs.CL} +@article{chen2023agentverse, + title={Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents}, + author={Chen, Weize and Su, Yusheng and Zuo, Jingwei and Yang, Cheng and Yuan, Chenfei and Qian, Chen and Chan, Chi-Min and Qin, Yujia and Lu, Yaxi and Xie, Ruobing and others}, + journal={arXiv preprint arXiv:2308.10848}, + year={2023} } ``` ## Contact -Weize Chen: chenwz21@mails.tsinghua.edu.cn +Weize Chen: chenweize1998@gmail.com [Yusheng Su](https://yushengsu-thu.github.io/): yushengsu.thu@gmail.com From d359c7679ff5479812f20fe617155a74f131fad4 Mon Sep 17 00:00:00 2001 From: mlmz <54172054+minleminzui@users.noreply.github.com> Date: Mon, 9 Oct 2023 18:18:47 +0800 Subject: [PATCH 011/101] fix: allows users to customize config.yaml of the task (#53) --- agentverse/agentverse.py | 4 ++-- agentverse/gui.py | 6 +++--- agentverse/initialization.py | 4 ++-- agentverse/simulation.py | 4 ++-- agentverse/tasks/simulation/sde_team/readme.md | 5 ++++- agentverse/tasksolving.py | 4 ++-- benchmark.py | 8 +++++--- main_simulation_cli.py | 5 ++++- main_simulation_gui.py | 5 ++++- 9 files changed, 28 insertions(+), 17 deletions(-) diff --git a/agentverse/agentverse.py b/agentverse/agentverse.py index a716b810c..8b1505075 100644 --- a/agentverse/agentverse.py +++ b/agentverse/agentverse.py @@ -23,13 +23,13 @@ def __init__(self, agents: List[BaseAgent], environment: BaseEnvironment): self.environment = environment @classmethod - def from_task(cls, task: str): + def from_task(cls, task: str, tasks_dir: str): """Build an AgentVerse from a task name. The task name should correspond to a directory in `tasks` directory. Then this method will load the configuration from the yaml file in that directory. """ # Prepare the config of the task - task_config = prepare_task_config(task) + task_config = prepare_task_config(task, tasks_dir) # Build the agents agents = [] diff --git a/agentverse/gui.py b/agentverse/gui.py index ca8738b3d..911207f48 100644 --- a/agentverse/gui.py +++ b/agentverse/gui.py @@ -30,7 +30,7 @@ class GUI: the UI of frontend """ - def __init__(self, task: str): + def __init__(self, task: str, tasks_dir: str): """ init a UI. default number of students is 0 @@ -38,9 +38,9 @@ def __init__(self, task: str): self.messages = [] self.task = task if task == "pipeline_brainstorming": - self.backend = TaskSolving.from_task(task) + self.backend = TaskSolving.from_task(task, tasks_dir) else: - self.backend = Simulation.from_task(task) + self.backend = Simulation.from_task(task, tasks_dir) self.turns_remain = 0 self.agent_id = { self.backend.agents[idx].name: idx diff --git a/agentverse/initialization.py b/agentverse/initialization.py index cc6e3cd42..ed21733e0 100644 --- a/agentverse/initialization.py +++ b/agentverse/initialization.py @@ -66,9 +66,9 @@ def load_agent(agent_config: Dict) -> BaseAgent: return agent -def prepare_task_config(task): +def prepare_task_config(task, tasks_dir): """Read the yaml config of the given task in `tasks` directory.""" - all_task_dir = os.path.join(os.path.dirname(__file__), "tasks") + all_task_dir = tasks_dir task_path = os.path.join(all_task_dir, task) config_path = os.path.join(task_path, "config.yaml") if not os.path.exists(task_path): diff --git a/agentverse/simulation.py b/agentverse/simulation.py index f4d3dc982..27a439e4b 100644 --- a/agentverse/simulation.py +++ b/agentverse/simulation.py @@ -17,13 +17,13 @@ def __init__(self, agents: List[BaseAgent], environment: BaseEnvironment): self.environment = environment @classmethod - def from_task(cls, task: str): + def from_task(cls, task: str, tasks_dir: str): """Build an AgentVerse from a task name. The task name should correspond to a directory in `tasks` directory. Then this method will load the configuration from the yaml file in that directory. """ # Prepare the config of the task - task_config = prepare_task_config(task) + task_config = prepare_task_config(task, tasks_dir) # Build the agents agents = [] diff --git a/agentverse/tasks/simulation/sde_team/readme.md b/agentverse/tasks/simulation/sde_team/readme.md index 62faa3117..b022b820b 100644 --- a/agentverse/tasks/simulation/sde_team/readme.md +++ b/agentverse/tasks/simulation/sde_team/readme.md @@ -72,14 +72,17 @@ python build_config.py After generating `config.yaml`, run the `main.py` to start the task. ```python +import os from agentverse.agentverse import AgentVerse from argparse import ArgumentParser parser = ArgumentParser() parser.add_argument("--task", type=str, default="sde_team/sde_team_2players") +parser.add_argument("--tasks_dir", type=str, default=os.path.join( + os.path.dirname(__file__), "agentverse", "tasks")) args = parser.parse_args() -agentverse = AgentVerse.from_task(args.task) +agentverse = AgentVerse.from_task(args.task, args.tasks_dir) agentverse.run() ``` diff --git a/agentverse/tasksolving.py b/agentverse/tasksolving.py index b90b81b0e..2bd2bd9b7 100644 --- a/agentverse/tasksolving.py +++ b/agentverse/tasksolving.py @@ -23,13 +23,13 @@ def __init__(self, environment: BasicEnvironment, task: str = ""): self.task = task @classmethod - def from_task(cls, task: str): + def from_task(cls, task: str, tasks_dir: str): """Build an AgentVerse from a task name. The task name should correspond to a directory in `tasks` directory. Then this method will load the configuration from the yaml file in that directory. """ # Prepare the config of the task - task_config = prepare_task_config(task) + task_config = prepare_task_config(task, tasks_dir) # Build the environment env_config = task_config["environment"] diff --git a/benchmark.py b/benchmark.py index 304adc6e1..01d2cb232 100644 --- a/benchmark.py +++ b/benchmark.py @@ -12,7 +12,9 @@ parser = ArgumentParser() -parser.add_argument("--task", type=str, default="responsegen") +parser.add_argument("--task", type=str, default="tasksolving/responsegen") +parser.add_argument("--tasks_dir", type=str, default=os.path.join( + os.path.dirname(__file__), "agentverse", "tasks")) parser.add_argument("--dataset_path", type=str, required=True) parser.add_argument("--output_path", type=str, default=None) parser.add_argument("--has_tools", action="store_true") @@ -38,7 +40,7 @@ def get_dataloader(task, dataset_path): else: os.makedirs(args.output_path, exist_ok=True) shutil.copyfile( - f"./agentverse/tasks/{args.task}/config.yaml", + f"{args.tasks_dir}/{args.task}/config.yaml", f"{args.output_path}/config.yaml", ) @@ -57,7 +59,7 @@ def get_dataloader(task, dataset_path): assert args.tool_tmp_path is not None with open(args.tool_tmp_path, "w") as f: f.write(json.dumps(example["tools"])) - agentversepipeline = TaskSolving.from_task(args.task) + agentversepipeline = TaskSolving.from_task(args.task, args.tasks_dir) agentversepipeline.environment.set_task_description(example["input"]) # print(args.single_agent) # print(args.discussion_mode) diff --git a/main_simulation_cli.py b/main_simulation_cli.py index a6be9e66d..48f56e567 100644 --- a/main_simulation_cli.py +++ b/main_simulation_cli.py @@ -1,3 +1,4 @@ +import os import logging from argparse import ArgumentParser @@ -6,10 +7,12 @@ parser = ArgumentParser() parser.add_argument("--task", type=str, default="simulation/prisoner_dilemma") +parser.add_argument("--tasks_dir", type=str, default=os.path.join( + os.path.dirname(__file__), "agentverse", "tasks")) parser.add_argument("--debug", action="store_true") args = parser.parse_args() logger.set_level(logging.DEBUG if args.debug else logging.INFO) -agentverse = Simulation.from_task(args.task) +agentverse = Simulation.from_task(args.task, args.tasks_dir) agentverse.run() diff --git a/main_simulation_gui.py b/main_simulation_gui.py index a7c4ad42f..576b980c5 100644 --- a/main_simulation_gui.py +++ b/main_simulation_gui.py @@ -1,9 +1,12 @@ +import os from agentverse.gui import GUI from argparse import ArgumentParser parser = ArgumentParser() parser.add_argument("--task", type=str, default="simulation/nlp_classroom_9players") +parser.add_argument("--tasks_dir", type=str, default=os.path.join( + os.path.dirname(__file__), "agentverse", "tasks")) args = parser.parse_args() -ui = GUI(args.task) +ui = GUI(args.task, args.tasks_dir) ui.launch() From ff67cff5073a577e775afbee581941be96c0fbfb Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Mon, 9 Oct 2023 22:36:51 +0800 Subject: [PATCH 012/101] ci skip. Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index ed3a7526b..45f91e957 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,7 @@ Contributions: Welcome +

@@ -68,6 +69,8 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg Also, if you're passionate about advancing the frontiers of multi-agent environments and are eager to dive deeper into research, we invite you to join our team at THUNLP. To explore this exciting opportunity and embark on a collaborative journey with us, please reach out to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com) and express your interest. We're keen to welcome motivated individuals like you to our lab! +👉Also, our Discord: https://discord.gg/cnutfCtC. + ## 🗓 Coming Soon - [x] Code release of our [paper](https://arxiv.org/abs/2308.10848) - [ ] Add documentation From 0360286d5125c01c551e9eb9b2076500d150aab0 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 10 Oct 2023 09:39:36 +0800 Subject: [PATCH 013/101] fix: fix the incompatible simulation configs. ci skip --- .../simulation_agent/prisoner_dilemma.py | 4 ++-- .../tasks/simulation/alice_home/config.yaml | 4 ++++ .../tasks/simulation/db_diag/config.yaml | 6 ++++++ .../math_problem_2players_tools/config.yaml | 4 ++++ .../nlp_classroom_3players/config.yaml | 7 +++++++ .../config.yaml | 6 ++++++ .../nlp_classroom_9players/config.yaml | 18 ++++++++++++++++++ .../nlp_classroom_9players_group/config.yaml | 18 ++++++++++++++++++ .../tasks/simulation/pokemon/config.yaml | 12 ++++++++++++ .../simulation/prisoner_dilemma/config.yaml | 6 ++++++ .../sde_team_2players/partial_config.yaml | 8 +++++++- .../sde_team/sde_team_3players/config.yaml | 5 ++++- 12 files changed, 94 insertions(+), 4 deletions(-) diff --git a/agentverse/agents/simulation_agent/prisoner_dilemma.py b/agentverse/agents/simulation_agent/prisoner_dilemma.py index eb4390ecb..bf257c168 100644 --- a/agentverse/agents/simulation_agent/prisoner_dilemma.py +++ b/agentverse/agents/simulation_agent/prisoner_dilemma.py @@ -6,8 +6,8 @@ from agentverse.message import Message -#from . import agent_registry -#from .base import BaseAgent +# from . import agent_registry +# from .base import BaseAgent from agentverse.agents import agent_registry from agentverse.agents.base import BaseAgent diff --git a/agentverse/tasks/simulation/alice_home/config.yaml b/agentverse/tasks/simulation/alice_home/config.yaml index afec6e036..1c79377da 100644 --- a/agentverse/tasks/simulation/alice_home/config.yaml +++ b/agentverse/tasks/simulation/alice_home/config.yaml @@ -84,6 +84,8 @@ agents: llm_type: gpt-4 temperature: 0.3 max_tokens: 128 + output_parser: + type: alice_home current_time: "2023-04-01 07:00:00" - agent_type: reflection @@ -120,6 +122,8 @@ agents: llm_type: gpt-4 temperature: 0.3 max_tokens: 128 + output_parser: + type: alice_home current_time: "2023-04-01 07:00:00" tools: ~ \ No newline at end of file diff --git a/agentverse/tasks/simulation/db_diag/config.yaml b/agentverse/tasks/simulation/db_diag/config.yaml index 1e4e055f7..f89d8cd19 100644 --- a/agentverse/tasks/simulation/db_diag/config.yaml +++ b/agentverse/tasks/simulation/db_diag/config.yaml @@ -211,6 +211,8 @@ agents: model: gpt-4 temperature: 0.7 max_tokens: 1024 + output_parser: + type: db_diag tools: *tools verbose: true - @@ -233,6 +235,8 @@ agents: model: gpt-4 temperature: 0.7 max_tokens: 512 + output_parser: + type: db_diag tools: *tools verbose: true - @@ -255,5 +259,7 @@ agents: model: gpt-4 temperature: 0.7 max_tokens: 512 + output_parser: + type: db_diag tools: *tools verbose: true \ No newline at end of file diff --git a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml index 2a345b54b..1599d8356 100644 --- a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml +++ b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml @@ -98,6 +98,8 @@ agents: model: text-davinci-003 temperature: 0.7 max_tokens: 250 + output_parser: + type: math_problem_2players_tools tools: *tools - agent_type: tool @@ -112,4 +114,6 @@ agents: model: text-davinci-003 temperature: 0.7 max_tokens: 250 + output_parser: + type: math_problem_2players_tools tools: *tools diff --git a/agentverse/tasks/simulation/nlp_classroom_3players/config.yaml b/agentverse/tasks/simulation/nlp_classroom_3players/config.yaml index 41fa1cb8f..234891698 100644 --- a/agentverse/tasks/simulation/nlp_classroom_3players/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_3players/config.yaml @@ -40,6 +40,8 @@ agents: model: 'gpt-4' temperature: 0.7 max_tokens: 250 + output_parser: + type: nlp_classroom_3players - agent_type: conversation name: Student Beta role_description: You are Beta, a student curious about Natural Language Processing and you want to learn some basic concepts of NLP. You know nothing about the area so you will ask lots of questions. @@ -51,6 +53,8 @@ agents: model: 'gpt-4' temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_3players - agent_type: conversation name: Teaching Assistant Gamma role_description: You are Gamma, a teaching assistant of the Natural Language Processing module. You mostly help with logistics and marking, but occasionally handles questions. Your answer should be less than 100 words. @@ -62,5 +66,8 @@ agents: model: gpt-4 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_3players + tools: diff --git a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml index be2e07084..336c7e25e 100644 --- a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml @@ -160,6 +160,8 @@ agents: model: text-davinci-003 temperature: 0.7 max_tokens: 250 + output_parser: + type: nlp_classroom_3players_withtool memory: memory_type: chat_history verbose: true @@ -182,6 +184,8 @@ agents: model: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_3players_withtool tools: *tools verbose: true - agent_type: tool @@ -203,5 +207,7 @@ agents: model: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_3players_withtool tools: *tools verbose: true diff --git a/agentverse/tasks/simulation/nlp_classroom_9players/config.yaml b/agentverse/tasks/simulation/nlp_classroom_9players/config.yaml index 6ec120a1d..2217a6223 100644 --- a/agentverse/tasks/simulation/nlp_classroom_9players/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_9players/config.yaml @@ -99,6 +99,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 250 + output_parser: + type: nlp_classroom_9players memory: memory_type: chat_history - @@ -113,6 +115,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Amelia @@ -125,6 +129,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Ethan @@ -137,6 +143,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Charlotte @@ -149,6 +157,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Mason @@ -161,6 +171,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Ava @@ -173,6 +185,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Noah @@ -185,6 +199,8 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players - agent_type: conversation name: Student Emma @@ -197,5 +213,7 @@ agents: model: "gpt-4" temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players tools: diff --git a/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml b/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml index 42221521e..b8d9d0319 100644 --- a/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml @@ -118,6 +118,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 250 + output_parser: + type: nlp_classroom_9players_group memory: memory_type: chat_history - @@ -131,6 +133,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Amelia @@ -142,6 +146,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Ethan @@ -153,6 +159,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Charlotte @@ -164,6 +172,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Mason @@ -175,6 +185,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Ava @@ -186,6 +198,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Noah @@ -197,6 +211,8 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group - agent_type: conversation name: Student Emma @@ -208,5 +224,7 @@ agents: llm_type: text-davinci-003 temperature: 0.7 max_tokens: 100 + output_parser: + type: nlp_classroom_9players_group tools: \ No newline at end of file diff --git a/agentverse/tasks/simulation/pokemon/config.yaml b/agentverse/tasks/simulation/pokemon/config.yaml index b032a501e..0a152de8d 100644 --- a/agentverse/tasks/simulation/pokemon/config.yaml +++ b/agentverse/tasks/simulation/pokemon/config.yaml @@ -84,6 +84,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: 'gpt-3.5-turbo' @@ -102,6 +104,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: gpt-3.5-turbo @@ -120,6 +124,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: gpt-3.5-turbo @@ -138,6 +144,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: gpt-3.5-turbo @@ -156,6 +164,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: gpt-3.5-turbo @@ -174,6 +184,8 @@ agents: memory: memory_type: chat_history prompt_template: *prompt + output_parser: + type: pokemon llm: llm_type: gpt-3.5-turbo model: gpt-3.5-turbo diff --git a/agentverse/tasks/simulation/prisoner_dilemma/config.yaml b/agentverse/tasks/simulation/prisoner_dilemma/config.yaml index 6b2b79005..dc03e4120 100644 --- a/agentverse/tasks/simulation/prisoner_dilemma/config.yaml +++ b/agentverse/tasks/simulation/prisoner_dilemma/config.yaml @@ -56,6 +56,8 @@ agents: llm_type: gpt-4 temperature: 1.2 max_tokens: 200 + output_parser: + type: prisoner_dilemma - agent_type: prisoner name: Suspect1 personality: "You are a Sophisticated Egoist, you always seek for your personal interests best" @@ -76,6 +78,8 @@ agents: llm_type: gpt-4 temperature: 1.2 max_tokens: 100 + output_parser: + type: prisoner_dilemma - agent_type: prisoner name: Suspect2 personality: "" @@ -96,5 +100,7 @@ agents: llm_type: gpt-4 temperature: 1.2 max_tokens: 100 + output_parser: + type: prisoner_dilemma tools: diff --git a/agentverse/tasks/simulation/sde_team/sde_team_2players/partial_config.yaml b/agentverse/tasks/simulation/sde_team/sde_team_2players/partial_config.yaml index e01f19312..881b0ef31 100644 --- a/agentverse/tasks/simulation/sde_team/sde_team_2players/partial_config.yaml +++ b/agentverse/tasks/simulation/sde_team/sde_team_2players/partial_config.yaml @@ -159,6 +159,8 @@ agents: llm_type: gpt-3.5-turbo temperature: 0. max_tokens: 1024 + output_parser: + type: sde_team/sde_team_2players - agent_type: conversation name: code_tester @@ -172,6 +174,8 @@ agents: llm_type: gpt-3.5-turbo temperature: 0. max_tokens: 256 + output_parser: + type: sde_team/sde_team_2players - agent_type: conversation name: code_reviewer @@ -184,4 +188,6 @@ agents: llm: llm_type: gpt-3.5-turbo temperature: 0. - max_tokens: 1024 \ No newline at end of file + max_tokens: 1024 + output_parser: + type: sde_team/sde_team_2players \ No newline at end of file diff --git a/agentverse/tasks/simulation/sde_team/sde_team_3players/config.yaml b/agentverse/tasks/simulation/sde_team/sde_team_3players/config.yaml index fe4ff4369..a4b0ef661 100644 --- a/agentverse/tasks/simulation/sde_team/sde_team_3players/config.yaml +++ b/agentverse/tasks/simulation/sde_team/sde_team_3players/config.yaml @@ -227,6 +227,7 @@ agents: llm_type: gpt-3.5-turbo temperature: 0.3 max_tokens: 1024 + output_parser: sde_team/sde_team_3players - agent_type: conversation name: code_reviewer @@ -240,6 +241,7 @@ agents: llm_type: gpt-3.5-turbo temperature: 0.3 max_tokens: 1024 + output_parser: sde_team/sde_team_3players - agent_type: conversation name: unit_test_generator @@ -249,4 +251,5 @@ agents: llm: llm_type: gpt-3.5-turbo temperature: 1.0 - max_tokens: 1024 \ No newline at end of file + max_tokens: 1024 + output_parser: sde_team/sde_team_3players \ No newline at end of file From ccf4319620ce9d2be01e3bb9b6f69f73b069e8a7 Mon Sep 17 00:00:00 2001 From: mlmz <54172054+minleminzui@users.noreply.github.com> Date: Tue, 10 Oct 2023 16:09:17 +0800 Subject: [PATCH 014/101] fix: complete the command line (#55) * fix: complete the command line for agentverse's demos to make it more convenient for users to use * fix: better cli command name * fix: change default tasks_dir --------- Co-authored-by: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Co-authored-by: chenweize1998 --- .github/workflows/test.yml | 3 +- agentverse_command/__init__.py | 0 .../benchmark.py | 13 +++++-- .../main_simulation_cli.py | 17 ++++++-- agentverse_command/main_simulation_gui.py | 21 ++++++++++ .../main_tasksolving_cli.py | 18 +++++++-- main_simulation_gui.py | 12 ------ setup.py | 39 ++++++++++++------- 8 files changed, 85 insertions(+), 38 deletions(-) create mode 100644 agentverse_command/__init__.py rename benchmark.py => agentverse_command/benchmark.py (94%) rename main_simulation_cli.py => agentverse_command/main_simulation_cli.py (58%) create mode 100644 agentverse_command/main_simulation_gui.py rename main_tasksolving_cli.py => agentverse_command/main_tasksolving_cli.py (53%) delete mode 100644 main_simulation_gui.py diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index fa9454dfb..bf14b09df 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -36,5 +36,6 @@ jobs: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_ORGANIZATION: ${{ secrets.OPENAI_ORGANIZATION }} run: | - python benchmark.py --task tasksolving/mgsm/gpt-3.5 --dataset_path data/mgsm/test_sample.jsonl --overwrite --output_path ci_smoke_test_output + python setup.py develop + python agentverse_command/benchmark.py --task tasksolving/mgsm/gpt-3.5 --dataset_path data/mgsm/test_sample.jsonl --overwrite --output_path ci_smoke_test_output --tasks_dir ./agentverse/tasks python evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test \ No newline at end of file diff --git a/agentverse_command/__init__.py b/agentverse_command/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/benchmark.py b/agentverse_command/benchmark.py similarity index 94% rename from benchmark.py rename to agentverse_command/benchmark.py index 01d2cb232..e9da7cf0a 100644 --- a/benchmark.py +++ b/agentverse_command/benchmark.py @@ -13,8 +13,11 @@ parser = ArgumentParser() parser.add_argument("--task", type=str, default="tasksolving/responsegen") -parser.add_argument("--tasks_dir", type=str, default=os.path.join( - os.path.dirname(__file__), "agentverse", "tasks")) +parser.add_argument( + "--tasks_dir", + type=str, + default=os.path.join(os.path.dirname(__file__), "..", "agentverse", "tasks"), +) parser.add_argument("--dataset_path", type=str, required=True) parser.add_argument("--output_path", type=str, default=None) parser.add_argument("--has_tools", action="store_true") @@ -32,7 +35,7 @@ def get_dataloader(task, dataset_path): return dataloader_registry.build(task, path=dataset_path) -if __name__ == "__main__": +def cli_main(): dataloader = get_dataloader(args.task, args.dataset_path) if args.output_path is None: os.makedirs(f"./results/{args.task}", exist_ok=True) @@ -78,3 +81,7 @@ def get_dataloader(task, dataset_path): ) f.flush() f.close() + + +if __name__ == "__main__": + cli_main() diff --git a/main_simulation_cli.py b/agentverse_command/main_simulation_cli.py similarity index 58% rename from main_simulation_cli.py rename to agentverse_command/main_simulation_cli.py index 48f56e567..af938e112 100644 --- a/main_simulation_cli.py +++ b/agentverse_command/main_simulation_cli.py @@ -7,12 +7,21 @@ parser = ArgumentParser() parser.add_argument("--task", type=str, default="simulation/prisoner_dilemma") -parser.add_argument("--tasks_dir", type=str, default=os.path.join( - os.path.dirname(__file__), "agentverse", "tasks")) +parser.add_argument( + "--tasks_dir", + type=str, + default=os.path.join(os.path.dirname(__file__), "..", "agentverse", "tasks"), +) parser.add_argument("--debug", action="store_true") args = parser.parse_args() logger.set_level(logging.DEBUG if args.debug else logging.INFO) -agentverse = Simulation.from_task(args.task, args.tasks_dir) -agentverse.run() + +def cli_main(): + agentverse = Simulation.from_task(args.task, args.tasks_dir) + agentverse.run() + + +if __name__ == "__main__": + cli_main() diff --git a/agentverse_command/main_simulation_gui.py b/agentverse_command/main_simulation_gui.py new file mode 100644 index 000000000..b91df38c0 --- /dev/null +++ b/agentverse_command/main_simulation_gui.py @@ -0,0 +1,21 @@ +import os +from agentverse.gui import GUI +from argparse import ArgumentParser + +parser = ArgumentParser() +parser.add_argument("--task", type=str, default="simulation/nlp_classroom_9players") +parser.add_argument( + "--tasks_dir", + type=str, + default=os.path.join(os.path.dirname(__file__), "..", "agentverse", "tasks"), +) +args = parser.parse_args() + + +def cli_main(): + ui = GUI(args.task, args.tasks_dir) + ui.launch() + + +if __name__ == "__main__": + cli_main() diff --git a/main_tasksolving_cli.py b/agentverse_command/main_tasksolving_cli.py similarity index 53% rename from main_tasksolving_cli.py rename to agentverse_command/main_tasksolving_cli.py index aea6d1433..2382adf90 100644 --- a/main_tasksolving_cli.py +++ b/agentverse_command/main_tasksolving_cli.py @@ -1,3 +1,4 @@ +import os import logging # from agentverse.agentverse import AgentVerse @@ -11,12 +12,23 @@ parser.add_argument( "--task", type=str, - default="tasksolving/pipeline_brainstorming", + default="tasksolving/brainstorming", ) parser.add_argument("--debug", action="store_true") +parser.add_argument( + "--tasks_dir", + type=str, + default=os.path.join(os.path.dirname(__file__), "..", "agentverse", "tasks"), +) args = parser.parse_args() logger.set_level(logging.DEBUG if args.debug else logging.INFO) -agentversepipeline = TaskSolving.from_task(args.task) -agentversepipeline.run() + +def cli_main(): + agentversepipeline = TaskSolving.from_task(args.task, args.tasks_dir) + agentversepipeline.run() + + +if __name__ == "__main__": + cli_main() diff --git a/main_simulation_gui.py b/main_simulation_gui.py deleted file mode 100644 index 576b980c5..000000000 --- a/main_simulation_gui.py +++ /dev/null @@ -1,12 +0,0 @@ -import os -from agentverse.gui import GUI -from argparse import ArgumentParser - -parser = ArgumentParser() -parser.add_argument("--task", type=str, default="simulation/nlp_classroom_9players") -parser.add_argument("--tasks_dir", type=str, default=os.path.join( - os.path.dirname(__file__), "agentverse", "tasks")) -args = parser.parse_args() - -ui = GUI(args.task, args.tasks_dir) -ui.launch() diff --git a/setup.py b/setup.py index f4e8f2128..4d6f5f474 100644 --- a/setup.py +++ b/setup.py @@ -2,8 +2,8 @@ from setuptools.command.develop import develop import subprocess -# with open("requirements.txt", "r") as f: -# requirements = f.read().splitlines() +with open("requirements.txt", "r") as f: + requirements = f.read().splitlines() with open("README.md", "r", encoding='utf8') as fh: long_description = fh.read() @@ -24,18 +24,27 @@ "Operating System :: OS Independent", ], python_requires=">=3.9", - install_requires=[ - "PyYAML", - "fastapi", - "uvicorn", - "py3langid", - "iso-639", - "openai", - "opencv-python", - "gradio", - "httpx[socks]", - "astunparse", - "langchain", - ], + # install_requires=[ + # "PyYAML", + # "fastapi", + # "uvicorn", + # "py3langid", + # "iso-639", + # "openai", + # "opencv-python", + # "gradio", + # "httpx[socks]", + # "astunparse", + # "langchain", + # ], + install_requires=requirements, include_package_data = True, + entry_points={ + "console_scripts": [ + "agentverse-benchmark = agentverse_command.benchmark:cli_main", + "agentverse-simulation = agentverse_command.main_simulation_cli:cli_main", + "agentverse-simulation-gui = agentverse_command.main_simulation_gui:cli_main", + "agentverse-tasksolving = agentverse_command.main_tasksolving_cli:cli_main", + ], + }, ) From 6bdce1d5d9a10a674a48f1d06910837afc219df2 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 10 Oct 2023 16:26:26 +0800 Subject: [PATCH 015/101] refactor: reorganize script location --- .github/workflows/test.yml | 2 +- .gitignore | 3 ++- .../rules/executor/coverage_test.py | 14 +++++++++----- .../tasksolving/tool_using/24point/config.yaml | 2 +- .../tasks/tasksolving/tool_using/bmi/config.yaml | 2 +- .../tasksolving/tool_using/bookclub/config.yaml | 2 +- .../tasks/tasksolving/tool_using/car/config.yaml | 2 +- .../tasks/tasksolving/tool_using/date/config.yaml | 2 +- .../tasks/tasksolving/tool_using/diy/config.yaml | 2 +- .../tasks/tasksolving/tool_using/party/config.yaml | 2 +- .../tasksolving/tool_using/sudoku/config.yaml | 2 +- .../tasksolving/tool_using/tools_simplified.json | 0 .../tasksolving/tool_using/trending/config.yaml | 2 +- .../tasksolving/tool_using/vacation/config.yaml | 2 +- scripts/__init__.py | 0 .../evaluate_commongen.py | 0 evaluate_logic.py => scripts/evaluate_logic.py | 0 evaluate_math.py => scripts/evaluate_math.py | 0 .../evaluate_responsegen.py | 0 test_pokemon_env.py | 4 ---- 20 files changed, 22 insertions(+), 21 deletions(-) rename tools_simplified.json => agentverse/tasks/tasksolving/tool_using/tools_simplified.json (100%) create mode 100644 scripts/__init__.py rename evaluate_commongen.py => scripts/evaluate_commongen.py (100%) rename evaluate_logic.py => scripts/evaluate_logic.py (100%) rename evaluate_math.py => scripts/evaluate_math.py (100%) rename evaluate_responsegen.py => scripts/evaluate_responsegen.py (100%) delete mode 100644 test_pokemon_env.py diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index bf14b09df..e593f0609 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -38,4 +38,4 @@ jobs: run: | python setup.py develop python agentverse_command/benchmark.py --task tasksolving/mgsm/gpt-3.5 --dataset_path data/mgsm/test_sample.jsonl --overwrite --output_path ci_smoke_test_output --tasks_dir ./agentverse/tasks - python evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test \ No newline at end of file + python scripts/evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test \ No newline at end of file diff --git a/.gitignore b/.gitignore index 66b07b913..bbfb5aec0 100644 --- a/.gitignore +++ b/.gitignore @@ -172,4 +172,5 @@ raw/ results tmp/ data/toolbench -logs/ \ No newline at end of file +logs/ +ci_smoke_test_output/ \ No newline at end of file diff --git a/agentverse/environments/tasksolving_env/rules/executor/coverage_test.py b/agentverse/environments/tasksolving_env/rules/executor/coverage_test.py index ce3938707..37c3073ba 100644 --- a/agentverse/environments/tasksolving_env/rules/executor/coverage_test.py +++ b/agentverse/environments/tasksolving_env/rules/executor/coverage_test.py @@ -29,16 +29,18 @@ def step( *args, **kwargs, ) -> Any: - from evaluate_commongen import scoring + from scripts.evaluate_commongen import scoring - coverage, missing_tokens = scoring([s.content for s in solution], [task_description]) + coverage, missing_tokens = scoring( + [s.content for s in solution], [task_description] + ) if len(missing_tokens[0]) == 0: missing_tokens = "No missing tokens." else: missing_tokens = ", ".join(missing_tokens[0]) result = f"Coverage: {coverage*100:.2f}%\nMissing Tokens: {missing_tokens}" return [ExecutorMessage(content=result)] - + async def astep( self, agent: ExecutorAgent, @@ -47,9 +49,11 @@ async def astep( *args, **kwargs, ) -> Any: - from evaluate_commongen import scoring + from scripts.evaluate_commongen import scoring - coverage, missing_tokens = scoring([s.content for s in solution], [task_description]) + coverage, missing_tokens = scoring( + [s.content for s in solution], [task_description] + ) if len(missing_tokens[0]) == 0: missing_tokens = "No missing tokens." else: diff --git a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml index 11a185f3b..4e65b3f5b 100644 --- a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 3 cnt_tool_agents: &cnt_tool_agents 2 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the "24-Point Game." What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities? diff --git a/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml b/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml index 95ac4cf6a..97411d782 100644 --- a/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 3 cnt_tool_agents: &cnt_tool_agents 2 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I want to lose 5kg in the next 2 months. I weigh 70kg, am 170cm tall, and my age is 25. Calculate my BMI and based on that, suggest a workout routine and daily calorie intake to help me achieve my goal. diff --git a/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml b/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml index 98385570b..abc03fe11 100644 --- a/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 3 cnt_tool_agents: &cnt_tool_agents 2 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I want to kick off a book club with my friends. Can you tell me the top 5 bestselling books this month, gather the content summary for each, and find online platforms where we can buy or borrow them? diff --git a/agentverse/tasks/tasksolving/tool_using/car/config.yaml b/agentverse/tasks/tasksolving/tool_using/car/config.yaml index 1df8ccd7e..4344c707e 100644 --- a/agentverse/tasks/tasksolving/tool_using/car/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/car/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I am planning to buy a new car. Could you help me compare the features and prices of the latest models of Tesla, Ford, and Toyota? Include details about range, charging time, safety features, and after-sales service. Also, provide a brief analysis of the pros and cons of each car. diff --git a/agentverse/tasks/tasksolving/tool_using/date/config.yaml b/agentverse/tasks/tasksolving/tool_using/date/config.yaml index 4dc613e90..6e12f1746 100644 --- a/agentverse/tasks/tasksolving/tool_using/date/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/date/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I am planning a date with my girlfriend this week, please search for a good movie theater and a restaurant near Tsinghua University in Beijing and recommend a good movie to watch. Please search the web. diff --git a/agentverse/tasks/tasksolving/tool_using/diy/config.yaml b/agentverse/tasks/tasksolving/tool_using/diy/config.yaml index 8ea9b8ea3..8fa2f173c 100644 --- a/agentverse/tasks/tasksolving/tool_using/diy/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/diy/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I've recently taken an interest in DIY home projects. Search for beginner-friendly DIY projects that can be completed over the weekend. Also, provide a list of materials required and a step-by-step guide for each project. diff --git a/agentverse/tasks/tasksolving/tool_using/party/config.yaml b/agentverse/tasks/tasksolving/tool_using/party/config.yaml index 76134a374..df7fad0bb 100644 --- a/agentverse/tasks/tasksolving/tool_using/party/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/party/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I want to hold a party at somewhere around Tsinghua University tomorrow. I need you to look for some best places for holding a party nearby, and tell me whether the weather is good for holding a party tomorrow. Also, I want to know what activities can be considered in my party. Help me search the web. diff --git a/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml b/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml index e87547ca5..4d1202028 100644 --- a/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 3 cnt_tool_agents: &cnt_tool_agents 2 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I've just heard an interesting game called 'sudoku'. Can you search for the rules of this game and the solution to this game? Finally, write a python script to automatically solve this game if possible. diff --git a/tools_simplified.json b/agentverse/tasks/tasksolving/tool_using/tools_simplified.json similarity index 100% rename from tools_simplified.json rename to agentverse/tasks/tasksolving/tool_using/tools_simplified.json diff --git a/agentverse/tasks/tasksolving/tool_using/trending/config.yaml b/agentverse/tasks/tasksolving/tool_using/trending/config.yaml index b1685b131..101612774 100644 --- a/agentverse/tasks/tasksolving/tool_using/trending/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/trending/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I'm currently analyzing what is popular on the website. Can you help me find the recent trending stuff. It could be anything, like trending news, products, books, movies, music, etc. Give a summarization for me. diff --git a/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml b/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml index 9f0c73c51..c10dd1ed0 100644 --- a/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml @@ -2,7 +2,7 @@ cnt_agents: &cnt_agents 4 cnt_tool_agents: &cnt_tool_agents 3 max_rounds: &max_rounds 5 max_criticizing_rounds: 3 -tool_config: &tool_config tools_simplified.json +tool_config: &tool_config agentverse/tasks/tasksolving/tool_using/tools_simplified.json task_description: I'm planning a two-week vacation to Japan next month. Help me plan my itinerary. I want to visit Tokyo, Kyoto, and Osaka. Look for the top tourist attractions in each city, and also suggest the best mode of travel between these cities. Additionally, find out the weather forecast for the month I'll be visiting. diff --git a/scripts/__init__.py b/scripts/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/evaluate_commongen.py b/scripts/evaluate_commongen.py similarity index 100% rename from evaluate_commongen.py rename to scripts/evaluate_commongen.py diff --git a/evaluate_logic.py b/scripts/evaluate_logic.py similarity index 100% rename from evaluate_logic.py rename to scripts/evaluate_logic.py diff --git a/evaluate_math.py b/scripts/evaluate_math.py similarity index 100% rename from evaluate_math.py rename to scripts/evaluate_math.py diff --git a/evaluate_responsegen.py b/scripts/evaluate_responsegen.py similarity index 100% rename from evaluate_responsegen.py rename to scripts/evaluate_responsegen.py diff --git a/test_pokemon_env.py b/test_pokemon_env.py deleted file mode 100644 index b10e764e7..000000000 --- a/test_pokemon_env.py +++ /dev/null @@ -1,4 +0,0 @@ -import requests - -requests.post('http://127.0.0.1:10002/make_decision', headers={'Content-Type': 'application/json'}, json={'agent_ids': [0, 1, 2, 3, 4, 5]}) -# requests.post('http://127.0.0.1:10002/chat', headers={'Content-Type': 'application/json'}, json={'content': 'Hi!', 'receiver': 'May', 'receiver_id': 0, 'sender': 'Brendan'}) From 6d42bb6e2b58dd93e1f07fd4d5f4065c2b8cb933 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 10 Oct 2023 16:42:30 +0800 Subject: [PATCH 016/101] bump version to 0.1.5 --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 4d6f5f474..bef006aea 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ setuptools.setup( name="agentverse", - version="0.1.3", + version="0.1.5", author="OpenBMB", author_email="chenweize1998@gmail.com", description="A versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs).", From 7954f2161435d2884908dc07d287c08edd4d116a Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Tue, 10 Oct 2023 16:49:23 +0800 Subject: [PATCH 017/101] ci skip. Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 45f91e957..50b6536b4 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is slightly outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0) branch. +⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is slightly outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. --- @@ -138,7 +138,7 @@ In the context of the text evaluation scenario, we recommend users explore the [ https://github.com/OpenBMB/AgentVerse/assets/75533759/58f33468-f15b-4bac-ae01-8d0780019f85 #### Pokemon -**Currently available only in [`release-1.0`](https://github.com/OpenBMB/AgentVerse/tree/release-1.0)**. In the game, agents can walk around the game world, and interact with one another. As a player, you take on the role of an agent and can engage with others at any time. There are 6 characters in the Pokémon environment who appeared in Pokemon Emerald: [May](https://bulbapedia.bulbagarden.net/wiki/May_(game)), [Professor Birch](https://bulbapedia.bulbagarden.net/wiki/Professor_Birch), [Steven Stone](https://bulbapedia.bulbagarden.net/wiki/Steven_Stone), [Maxie](https://bulbapedia.bulbagarden.net/wiki/Maxie), [Archie](https://bulbapedia.bulbagarden.net/wiki/Archie) and [Joseph](https://bulbapedia.bulbagarden.net/wiki/Mr._Stone). +**Currently available only in [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1)**. In the game, agents can walk around the game world, and interact with one another. As a player, you take on the role of an agent and can engage with others at any time. There are 6 characters in the Pokémon environment who appeared in Pokemon Emerald: [May](https://bulbapedia.bulbagarden.net/wiki/May_(game)), [Professor Birch](https://bulbapedia.bulbagarden.net/wiki/Professor_Birch), [Steven Stone](https://bulbapedia.bulbagarden.net/wiki/Steven_Stone), [Maxie](https://bulbapedia.bulbagarden.net/wiki/Maxie), [Archie](https://bulbapedia.bulbagarden.net/wiki/Archie) and [Joseph](https://bulbapedia.bulbagarden.net/wiki/Mr._Stone). To launch the Pokemon game, first launch a local server with the following command: ```bash From 7c8dbca6a05653b65fcd3f683862f1783e98c7a7 Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Tue, 10 Oct 2023 16:54:15 +0800 Subject: [PATCH 018/101] ci skip. Update README.md --- README.md | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 50b6536b4..de16a5b4f 100644 --- a/README.md +++ b/README.md @@ -93,7 +93,7 @@ In the NLP class, the professor and students engage in interactive communication Use the following command to launch the NLP Classroom example: ```bash -python main_simulation_gui.py --task simulation/nlp_classroom_9players +python agentverse_command/main_simulation_gui.py --task simulation/nlp_classroom_9players ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/6ea07850-595e-4a28-a82e-f863011353c2 @@ -104,7 +104,7 @@ A prisoner's Dilemma is a thought experiment that challenges two completely rati Use the following command to launch the Prisoner Dilemma example: ```bash -python main_simulation_cli.py --task simulation/prisoner_dilemma +python agentverse_command/main_simulation_gui.py --task simulation/prisoner_dilemma ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/017c46e5-c738-4fca-9352-b008e2d518bd @@ -115,7 +115,7 @@ In the Software Design example, a code writer, a code tester and a code reviewer Use the following command to launch the Software Design example: ```bash -python main_demo.py --task simulation/sde_team/sde_team_2players +python agentverse_command/main_simulation_gui.py --task simulation/sde_team/sde_team_2players ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/5058066a-abee-490d-8659-b4e54661626a @@ -126,7 +126,7 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/5058066a-abee-490d-8659-b4 In the database diagnosis scenario, the Chief DBA monitors the system anomalies (e.g., slow queries, locks, crash down). If detected, the domain experts are alerted to analyze root causes, share insights, and suggest optimization solutions together. The Chief DBA then provides a summarized report to the user. ```bash -python main_simulation_gui.py --task simulation/db_diag +python agentverse_command/main_simulation_gui.py --task simulation/db_diag ``` https://github.com/OpenBMB/AgentVerse/assets/11704492/c633419d-afbb-47d4-bb12-6bb512e7af3a @@ -247,7 +247,9 @@ python setup.py develop You can create a multi-agent environments provided by us. Using the classroom scenario as an example. In this scenario, there are nine agents, one playing the role of a professor and the other eight as students. ```shell -python3 main_simulation_cli.py --task simulation/nlp_classroom_9players +python3 agentverse_command/main_simulation_cli.py --task simulation/nlp_classroom_9players +# or if you have installed AgentVerse via pip +agentverse-simulation --task simulation/nlp_classroom_9players ``` ### Simulation Local Website Demo @@ -255,7 +257,9 @@ python3 main_simulation_cli.py --task simulation/nlp_classroom_9players We also provide a local website demo for this environment. You can launch it with ```shell -python3 main_simulation_gui.py --task simulation/nlp_classroom_9players +python3 agentverse_command/main_simulation_gui.py --task simulation/nlp_classroom_9players +# or if you have installed AgentVerse via pip +agentverse-simulation-gui --task simulation/nlp_classroom_9players ``` After successfully launching the local server, you can visit [http://127.0.0.1:7860/](http://127.0.0.1:7860/) to view the classroom environment. @@ -265,7 +269,9 @@ To run the experiments with the task-solving environment proposed in our [paper] ```shell # Run the Humaneval benchmark using gpt-3.5-turbo -python3 main_tasksolving_cli.py --task tasksolving/humaneval/gpt-3.5 --dataset_path data/humaneval/test.jsonl --overwrite +python3 agentverse_command/main_tasksolving_cli.py --task tasksolving/humaneval/gpt-3.5 --dataset_path data/humaneval/test.jsonl --overwrite +# or if you have installed AgentVerse via pip +agentverse-tasksolving --task tasksolving/humaneval/gpt-3.5 --dataset_path data/humaneval/test.jsonl --overwrite ``` You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. From 63b2d33dbd063910cd94b6b9671fa178ad931154 Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Tue, 10 Oct 2023 17:28:19 +0800 Subject: [PATCH 019/101] ci skip. Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index de16a5b4f..4e448d6cb 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,7 @@ - 🛠 **Tools (Plugins) Utilization**: AgentVerse supports the multi-agent environments with tools. Currently, AgentVerse supports tools provided in [BMTools](https://github.com/OpenBMB/BMTools). ## 📰 What's New -- [2023/10/5] 💡 We release the code of our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848), and refactor our codebase to enable the creation of both simulation and task-solving environment! +- [2023/10/5] 💡 We release the code of our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848), and refactor our codebase to enable the creation of both simulation and task-solving environment! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! - [2023/8/22] 📝 We're excited to share our work-in-progress paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) related to this repository.

@@ -69,7 +69,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg Also, if you're passionate about advancing the frontiers of multi-agent environments and are eager to dive deeper into research, we invite you to join our team at THUNLP. To explore this exciting opportunity and embark on a collaborative journey with us, please reach out to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com) and express your interest. We're keen to welcome motivated individuals like you to our lab! -👉Also, our Discord: https://discord.gg/cnutfCtC. +👉Also, check our Discord: https://discord.gg/cnutfCtC. ## 🗓 Coming Soon - [x] Code release of our [paper](https://arxiv.org/abs/2308.10848) From c4205bd3b7f2a5eac0d3229512bc509655b32dc9 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 11 Oct 2023 00:13:46 +0800 Subject: [PATCH 020/101] manually merge #19. --- agentverse/memory_manipulator/__init__.py | 1 + agentverse/memory_manipulator/plan.py | 79 +++++++++++++++++++ .../tasks/simulation/alice_home/config.yaml | 4 +- 3 files changed, 82 insertions(+), 2 deletions(-) create mode 100644 agentverse/memory_manipulator/plan.py diff --git a/agentverse/memory_manipulator/__init__.py b/agentverse/memory_manipulator/__init__.py index 8ea0e7c68..5d28698a8 100644 --- a/agentverse/memory_manipulator/__init__.py +++ b/agentverse/memory_manipulator/__init__.py @@ -5,4 +5,5 @@ from .base import BaseMemoryManipulator from .basic import BasicMemoryManipulator from .reflection import Reflection +from .plan import Plan diff --git a/agentverse/memory_manipulator/plan.py b/agentverse/memory_manipulator/plan.py new file mode 100644 index 000000000..530190c0f --- /dev/null +++ b/agentverse/memory_manipulator/plan.py @@ -0,0 +1,79 @@ +from __future__ import annotations + +from logging import getLogger +from typing import List, TYPE_CHECKING + +from . import memory_manipulator_registry +from .base import BaseMemoryManipulator +from ..message import Message + +if TYPE_CHECKING: + from agentverse.memory import VectorStoreMemory + from agentverse.agents.reflection_agent import ReflectionAgent + +logger = getLogger(__file__) + +PLAN_PROMPT = """Now you are act for as an agent named ${agent_name} in a virtual world. +You might need to performing reaction to the observation. +Based on the following information: +(1) The agent's description: ${role_description} +(2) Current time is ${current_time} +(3) Your history memory is ${chat_history} + +Now is ${current_time}. If all plans are expired, you have to plan for\ +the next time periods. +Do you need to generate new plans? +If yes, tell me the new plan, including the time period. +If no, just tell me No.""" + + +@memory_manipulator_registry.register("plan") +class Plan(BaseMemoryManipulator): + """ + Memory manipulator for plan. + """ + memory: VectorStoreMemory = None + agent: ReflectionAgent = None # specify ReflectionAgent + # later considering removing current_time to be more general + # and then change to BaseAgent + plan: List[str] = [] + + def manipulate_memory(self) -> str: + """ + Generate new plans + """ + prompt = self._fill_prompt_template() + result = self.agent.llm.generate_response(prompt).content + result = result.strip('.') + logger.info(f"{self.agent.name}'s new plan: {result}") + if result == "No": + return "" + else: + self.plan.append(result) + plan_message = Message( + content=result, + sender=self.agent.name, + receiver={self.agent.name}) + self.agent.memory.add_message([plan_message]) + return result + + + def _fill_prompt_template(self) -> str: + """Fill the placeholders in the prompt template + + In the conversation agent, three placeholders are supported: + - ${agent_name}: the name of the agent + - ${env_description}: the description of the environment + - ${role_description}: the description of the role of the agent + - ${chat_history}: the chat history of the agent + """ + input_arguments = { + "agent_name": self.agent.name, + "role_description": self.agent.role_description, + "chat_history": self.agent.memory.to_string(add_sender_prefix=True), + "current_time": self.agent.current_time, + } + return PLAN_PROMPT.format(**input_arguments) + + def reset(self) -> None: + pass diff --git a/agentverse/tasks/simulation/alice_home/config.yaml b/agentverse/tasks/simulation/alice_home/config.yaml index 1c79377da..8147ab38e 100644 --- a/agentverse/tasks/simulation/alice_home/config.yaml +++ b/agentverse/tasks/simulation/alice_home/config.yaml @@ -77,7 +77,7 @@ agents: memory: memory_type: vectorstore memory_manipulator: - memory_manipulator_type: reflection + memory_manipulator_type: plan prompt_template: *prompt llm: model: "gpt-4" @@ -126,4 +126,4 @@ agents: type: alice_home current_time: "2023-04-01 07:00:00" -tools: ~ \ No newline at end of file +tools: ~ From 9b03c91fd5339ca4e5e5550b54189eb9b157e8c8 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 11 Oct 2023 18:46:25 +0800 Subject: [PATCH 021/101] fix: format error in some benchmark configs --- .../tasksolving/brainstorming/config.yaml | 21 +- .../tasksolving/humaneval/gpt-3.5/config.yaml | 19 +- .../tasksolving/humaneval/gpt-4/config.yaml | 19 +- .../tasksolving/pythoncalculator/config.yaml | 21 +- .../tasks/tasksolving/responsegen/config.yaml | 192 ------------------ agentverse_command/benchmark.py | 6 +- 6 files changed, 45 insertions(+), 233 deletions(-) delete mode 100644 agentverse/tasks/tasksolving/responsegen/config.yaml diff --git a/agentverse/tasks/tasksolving/brainstorming/config.yaml b/agentverse/tasks/tasksolving/brainstorming/config.yaml index 048c693bc..82be06bcd 100644 --- a/agentverse/tasks/tasksolving/brainstorming/config.yaml +++ b/agentverse/tasks/tasksolving/brainstorming/config.yaml @@ -101,16 +101,17 @@ name: pipeline environment: env_type: task-basic max_turn: *max_turn - role_assigner: - type: role_description - cnt_agents: *cnt_agents - decision_maker: - type: brainstorming - max_inner_turns: *max_inner_turns - executor: - type: none - evaluator: - type: basic + rule: + role_assigner: + type: role_description + cnt_agents: *cnt_agents + decision_maker: + type: brainstorming + max_inner_turns: *max_inner_turns + executor: + type: none + evaluator: + type: basic agents: - #role_assigner_agent: diff --git a/agentverse/tasks/tasksolving/humaneval/gpt-3.5/config.yaml b/agentverse/tasks/tasksolving/humaneval/gpt-3.5/config.yaml index 78b91f2c9..8b221f23c 100644 --- a/agentverse/tasks/tasksolving/humaneval/gpt-3.5/config.yaml +++ b/agentverse/tasks/tasksolving/humaneval/gpt-3.5/config.yaml @@ -129,15 +129,16 @@ name: pipeline environment: env_type: task-basic max_turn: *max_turn - role_assigner: - type: role_description - cnt_agents: *cnt_agents - decision_maker: - type: vertical-solver-first - executor: - type: none - evaluator: - type: basic + rule: + role_assigner: + type: role_description + cnt_agents: *cnt_agents + decision_maker: + type: vertical-solver-first + executor: + type: none + evaluator: + type: basic agents: - #role_assigner_agent: diff --git a/agentverse/tasks/tasksolving/humaneval/gpt-4/config.yaml b/agentverse/tasks/tasksolving/humaneval/gpt-4/config.yaml index 83d6dd458..2525b4e6b 100644 --- a/agentverse/tasks/tasksolving/humaneval/gpt-4/config.yaml +++ b/agentverse/tasks/tasksolving/humaneval/gpt-4/config.yaml @@ -125,15 +125,16 @@ name: pipeline environment: env_type: task-basic max_turn: *max_turn - role_assigner: - type: role_description - cnt_agents: *cnt_agents - decision_maker: - type: vertical-solver-first - executor: - type: code-test - evaluator: - type: basic + rule: + role_assigner: + type: role_description + cnt_agents: *cnt_agents + decision_maker: + type: vertical-solver-first + executor: + type: code-test + evaluator: + type: basic agents: - #role_assigner_agent: diff --git a/agentverse/tasks/tasksolving/pythoncalculator/config.yaml b/agentverse/tasks/tasksolving/pythoncalculator/config.yaml index 231aacf55..8615fd82c 100644 --- a/agentverse/tasks/tasksolving/pythoncalculator/config.yaml +++ b/agentverse/tasks/tasksolving/pythoncalculator/config.yaml @@ -99,16 +99,17 @@ name: pipeline environment: env_type: task-basic max_turn: *max_turn - role_assigner: - type: role_description - cnt_agents: *cnt_agents - decision_maker: - type: vertical-solver-first - max_inner_turns: *max_inner_turns - executor: - type: none - evaluator: - type: basic + rule: + role_assigner: + type: role_description + cnt_agents: *cnt_agents + decision_maker: + type: vertical-solver-first + max_inner_turns: *max_inner_turns + executor: + type: none + evaluator: + type: basic agents: - #role_assigner_agent: diff --git a/agentverse/tasks/tasksolving/responsegen/config.yaml b/agentverse/tasks/tasksolving/responsegen/config.yaml deleted file mode 100644 index b762d7c62..000000000 --- a/agentverse/tasks/tasksolving/responsegen/config.yaml +++ /dev/null @@ -1,192 +0,0 @@ -cnt_critic_agents: 3 -max_loop_rounds: &max_loop_rounds 5 -max_criticizing_rounds: 3 -human_eval: false -evaluation_dimensions: |- - -prompts: - role_assigner_prompt: &role_assigner_prompt |- - # Role Description - You are the leader of a group of experts, now you need to generate a response based on the text: - ${task_description} - - You can recruit ${cnt_critic_agents} expert in different fields. What experts will you recruit to better generate an accurate solution? - - # Response Format Guidance - You should respond with a list of expert description. For example: - 1. an electrical engineer specified in the filed of xxx - 2. an economist who is good at xxx - 3. a lawyer with a good knowledge of xxx - ... - - You don't have to give the reason. - - solver_prompt: &solver_prompt |- - # Problem - You need to generate a response based on the text: - ${task_description} - - # Previous Solution - The solution you gave in the last step is: - ${former_solution} - - # Critics - Critics in the group gave the following opinions: - ${critic_opinions} - - # Your Task - Now based upon the former solution and the critics' opinions, please give a new solution. - Your solution should contain only your response beginning with "System: ". - Do not give any additional information. - - critic_prompt: &critic_prompt |- - # Role Description and Problem to Solve - You are ${role_description}. You are in a discussion group, aiming to generate a response based on the text: - ${task_description} - - # Preliminary Solution - Now the group gives a preliminary solution as follows: - ${preliminary_solution} - - # Advice - Meanwhile, another expert gave the following advice on the solution: - ${advice} - - # Response Format Guidance - - If you thinks the preliminary solution is perfect, respond using the following format: - Action: Agree - Action Input: Agree. - (Do not output your reason for agreeing!) - - - If you think it is flawed, give your advice use the following output format: - Action: Disagree - Action Input: (explain why you disagree) - - # Your Task - Based on your knowledge in your field, do you agree that this solution is the best response based on the text? - - evaluator_prompt: &evaluator_prompt |- - # Role Description - You are an experienced dialogue teacher. As a good teacher, you carefully check the correctness of the given response based on the text. When the solution is flawed, you should patiently teach the students how to give better response. - - # Response Format Guidance - You must respond in the following format: - Interesting: (a score between 0 and 9) - Engaging: (a score between 0 and 9) - Specific: (a score between 0 and 9) - Relevant: (a score between 0 and 9) - Semantically Appropriate: (a score between 0 and 9) - Understandable: (a score between 0 and 9) - Fluent: (a score between 0 and 9) - Overall Impression: (a score between 0 and 9) - Advice: (your advice on how to correct the solution) - - # Problem and Student's Solution - Problem: ${task_description} - Student's Solution: ${solution} - - # Your Task - Now carefully check the student's solution, and give your response. - - -name: pipeline - - -environment: - env_type: task-basic - max_loop_rounds: *max_loop_rounds - rule: - order: - type: sequential - visibility: - type: all - selector: - type: basic - updater: - type: basic - describer: - type: basic - -agents: - - #role_assigner_agent: - agent_type: role_assigner - name: role assigner - prompt_template: *role_assigner_prompt - memory: - memory_type: chat_history - llm: - llm_type: gpt-3.5-turbo - model: "gpt-3.5-turbo" - temperature: 0 - max_tokens: 256 - output_parser: - type: role_assigner - - - #solver_agent: - agent_type: solver - name: Planner - prompt_template: [*solver_prompt, ""] - memory: - memory_type: chat_history - llm: - llm_type: gpt-3.5-turbo - model: "gpt-3.5-turbo" - temperature: 0 - max_tokens: 512 - - - #critic_agents: - agent_type: critic - name: Critic 1 - role_description: |- - Waiting to be assigned. - prompt_template: *critic_prompt - memory: - memory_type: chat_history - llm: - llm_type: gpt-3.5-turbo - model: "gpt-3.5-turbo" - temperature: 0 - max_tokens: 256 - output_parser: - type: responsegen-critic - - - #executor_agent: - agent_type: executor - name: Executor - prompt_template: None - memory: - memory_type: chat_history - llm: - llm_type: gpt-3.5-turbo - model: "gpt-3.5-turbo" - temperature: 0 - max_tokens: 512 - - - #evaluator_agent: - agent_type: evaluator - name: Evaluator - role_description: |- - Evaluator - prompt_template: *evaluator_prompt - memory: - memory_type: chat_history - llm: - llm_type: gpt-3.5-turbo - model: "gpt-3.5-turbo" - temperature: 0 - max_tokens: 512 - output_parser: - type: responsegen-evaluator - dimensions: - - Interesting - - Engaging - - Specific - - Relevant - - Semantically Appropriate - - Understandable - - Fluent - - Overall Impression - - -tools: - diff --git a/agentverse_command/benchmark.py b/agentverse_command/benchmark.py index e9da7cf0a..8ff53333a 100644 --- a/agentverse_command/benchmark.py +++ b/agentverse_command/benchmark.py @@ -62,12 +62,12 @@ def cli_main(): assert args.tool_tmp_path is not None with open(args.tool_tmp_path, "w") as f: f.write(json.dumps(example["tools"])) - agentversepipeline = TaskSolving.from_task(args.task, args.tasks_dir) - agentversepipeline.environment.set_task_description(example["input"]) + agentverse = TaskSolving.from_task(args.task, args.tasks_dir) + agentverse.environment.set_task_description(example["input"]) # print(args.single_agent) # print(args.discussion_mode) # exit() - plan, result, logs = agentversepipeline.run() + plan, result, logs = agentverse.run() f.write( json.dumps( { From 02086999362b100d31aa8c4d57843606f164a50e Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 11 Oct 2023 18:51:10 +0800 Subject: [PATCH 022/101] fix: update MANIFEST.in [ci skip] --- MANIFEST.in | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/MANIFEST.in b/MANIFEST.in index f72f5a0dc..f9aa599fc 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,2 +1,2 @@ -include agentverse/tasks/*/* include agentverse/tasks/*/*/* +include agentverse/tasks/*/*/*/* From 88744f1089f689bcebb6c9aaa4c9fcc9f1aee549 Mon Sep 17 00:00:00 2001 From: mlmz <54172054+minleminzui@users.noreply.github.com> Date: Wed, 11 Oct 2023 19:43:33 +0800 Subject: [PATCH 023/101] fix: arrange output parser classes (#59) * fix: arrange output parser classes Put all the output parser classes in one place. Remove redundant output parser classes. Reuse output parser classes with the same functionality. * fix: arrange output parser classes Put all the output parser classes in one place. Remove redundant output parser classes. Reuse output parser classes with the same functionality. * fix: output parser error * fix: output parser error --------- Co-authored-by: chenweize1998 --- agentverse/__init__.py | 5 +- agentverse/agents/base.py | 2 +- .../agents/simulation_agent/reflection.py | 2 +- agentverse/initialization.py | 2 +- agentverse/output_parser/__init__.py | 5 + agentverse/output_parser/output_parser.py | 621 ++++++++++++++++++ agentverse/parser.py | 25 - agentverse/tasks/__init__.py | 28 +- .../simulation/alice_home/output_parser.py | 29 - .../tasks/simulation/db_diag/output_parser.py | 40 -- .../math_problem_2players_tools/config.yaml | 10 +- .../output_parser.py | 32 - .../nlp_classroom_3players/output_parser.py | 31 - .../output_parser.py | 39 -- .../nlp_classroom_9players/output_parser.py | 36 - .../output_parser.py | 34 - .../tasks/simulation/pokemon/output_parser.py | 36 - .../prisoner_dilemma/output_parser.py | 74 --- .../sde_team_2players/output_parser.py | 19 - .../sde_team_3players/output_parser.py | 19 - .../brainstorming/output_parser.py | 77 --- .../tasksolving/commongen/output_parser.py | 93 --- .../tasksolving/humaneval/output_parser.py | 311 --------- .../tasksolving/logic_grid/output_parser.py | 13 - .../tasks/tasksolving/mgsm/output_parser.py | 166 ----- .../pythoncalculator/output_parser.py | 19 - .../tasksolving/responsegen/output_parser.py | 104 --- .../tool_using/24point/config.yaml | 2 +- .../tasksolving/tool_using/bmi/config.yaml | 2 +- .../tool_using/bookclub/config.yaml | 2 +- .../tasksolving/tool_using/car/config.yaml | 2 +- .../tasksolving/tool_using/date/config.yaml | 2 +- .../tasksolving/tool_using/diy/config.yaml | 2 +- .../tasksolving/tool_using/output_parser.py | 77 --- .../tasksolving/tool_using/party/config.yaml | 2 +- .../tasksolving/tool_using/sudoku/config.yaml | 2 +- .../tool_using/trending/config.yaml | 2 +- .../tool_using/vacation/config.yaml | 2 +- 38 files changed, 646 insertions(+), 1323 deletions(-) create mode 100644 agentverse/output_parser/__init__.py create mode 100644 agentverse/output_parser/output_parser.py delete mode 100644 agentverse/parser.py delete mode 100644 agentverse/tasks/simulation/alice_home/output_parser.py delete mode 100644 agentverse/tasks/simulation/db_diag/output_parser.py delete mode 100644 agentverse/tasks/simulation/math_problem_2players_tools/output_parser.py delete mode 100644 agentverse/tasks/simulation/nlp_classroom_3players/output_parser.py delete mode 100644 agentverse/tasks/simulation/nlp_classroom_3players_withtool/output_parser.py delete mode 100644 agentverse/tasks/simulation/nlp_classroom_9players/output_parser.py delete mode 100644 agentverse/tasks/simulation/nlp_classroom_9players_group/output_parser.py delete mode 100644 agentverse/tasks/simulation/pokemon/output_parser.py delete mode 100644 agentverse/tasks/simulation/prisoner_dilemma/output_parser.py delete mode 100644 agentverse/tasks/simulation/sde_team/sde_team_2players/output_parser.py delete mode 100644 agentverse/tasks/simulation/sde_team/sde_team_3players/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/brainstorming/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/commongen/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/humaneval/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/logic_grid/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/mgsm/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/pythoncalculator/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/responsegen/output_parser.py delete mode 100644 agentverse/tasks/tasksolving/tool_using/output_parser.py diff --git a/agentverse/__init__.py b/agentverse/__init__.py index af88fdd9e..4512a99dd 100644 --- a/agentverse/__init__.py +++ b/agentverse/__init__.py @@ -1,7 +1,4 @@ -from .tasks import * - - -# from .agents import Agent +from .output_parser import output_parser_registry from .environments import env_registry from .environments.simulation_env.rules.order import order_registry from .environments.simulation_env.rules.describer import describer_registry diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py index 084bc5135..4f118e08c 100644 --- a/agentverse/agents/base.py +++ b/agentverse/agents/base.py @@ -8,7 +8,7 @@ from agentverse.llms import BaseLLM from agentverse.memory import BaseMemory, ChatHistoryMemory from agentverse.message import Message -from agentverse.parser import OutputParser +from agentverse.output_parser import OutputParser from agentverse.memory_manipulator import BaseMemoryManipulator diff --git a/agentverse/agents/simulation_agent/reflection.py b/agentverse/agents/simulation_agent/reflection.py index e9303032b..bbbcf9f10 100644 --- a/agentverse/agents/simulation_agent/reflection.py +++ b/agentverse/agents/simulation_agent/reflection.py @@ -14,7 +14,7 @@ from agentverse.llms import BaseLLM from agentverse.memory import BaseMemory, ChatHistoryMemory from agentverse.message import Message -from agentverse.parser import OutputParser +from agentverse.output_parser import OutputParser from agentverse.message import Message from agentverse.agents.base import BaseAgent diff --git a/agentverse/initialization.py b/agentverse/initialization.py index ed21733e0..13ef54e77 100644 --- a/agentverse/initialization.py +++ b/agentverse/initialization.py @@ -19,7 +19,7 @@ from agentverse.memory import memory_registry from agentverse.memory_manipulator import memory_manipulator_registry -from agentverse.parser import output_parser_registry +from agentverse.output_parser import output_parser_registry if TYPE_CHECKING: from agentverse.agents import BaseAgent diff --git a/agentverse/output_parser/__init__.py b/agentverse/output_parser/__init__.py new file mode 100644 index 000000000..8b54c8edd --- /dev/null +++ b/agentverse/output_parser/__init__.py @@ -0,0 +1,5 @@ +from agentverse.registry import Registry + +output_parser_registry = Registry(name="OutputParserRegistry") + +from .output_parser import * \ No newline at end of file diff --git a/agentverse/output_parser/output_parser.py b/agentverse/output_parser/output_parser.py new file mode 100644 index 000000000..556d9ff6e --- /dev/null +++ b/agentverse/output_parser/output_parser.py @@ -0,0 +1,621 @@ +from __future__ import annotations + +import re +from abc import abstractmethod +import json +from typing import Union, List, Tuple, NamedTuple, TYPE_CHECKING + +from . import output_parser_registry + +from agentverse.utils import AgentAction, AgentFinish, AgentCriticism + +from agentverse.llms import LLMResult +from agentverse.logging import logger + +from pydantic import BaseModel + +if TYPE_CHECKING: + from agentverse.agents.base import BaseAgent + from agentverse.environments.base import BaseEnvironment + +class OutputParserError(Exception): + """Exception raised when parsing output from a command fails.""" + + def __init__(self, message): + self.message = message + + def __str__(self): + return "Failed to parse output of the model:%s\n " % self.message + + +class OutputParser(BaseModel): + """Base class for output parsers.""" + + @abstractmethod + def parse(self, output: LLMResult) -> NamedTuple: + pass + + +@output_parser_registry.register("alice_home") +class AliceHomeParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Thought:") + and cleaned_output[1].startswith("Action:") + ): + raise OutputParserError(text) + + action = cleaned_output[1][len("Action:") :].strip() + + return AgentFinish({"output": action}, text) + + +@output_parser_registry.register("db_diag") +@output_parser_registry.register("nlp_classroom_3players_withtool") +class CommonParser1(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 3 + and cleaned_output[0].startswith("Thought:") + and cleaned_output[1].startswith("Action:") + and cleaned_output[2].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[1][len("Action:") :].strip() + action_input = cleaned_output[2][len("Action Input:") :].strip() + if action in ["Speak"]: + return AgentFinish({"output": action_input}, text) + elif action == "CallOn": + return AgentFinish({"output": "[CallOn] " + action_input}, text) + elif action == "RaiseHand": + return AgentFinish({"output": "[RaiseHand] " + action_input}, text) + elif action == "Listen": + return AgentFinish({"output": ""}, text) + else: + return AgentAction(action.lower(), action_input, text) + + +@output_parser_registry.register("math_problem_2players_tools") +class MathProblem2PlayersToolsParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Action:") + and cleaned_output[1].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[0][len("Action:") :].strip() + action_input = cleaned_output[1][len("Action Input:") :].strip() + if action == "Speak": + return AgentFinish({"output": action_input}, text) + else: + return AgentAction(action, action_input, text) + + +@output_parser_registry.register("nlp_classroom_3players") +class NlpClassroom3PlayersParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Action:") + and cleaned_output[1].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[0][len("Action:") :].strip() + action_input = cleaned_output[1][len("Action Input:") :].strip() + if action == "Speak": + return AgentFinish({"output": action_input}, text) + else: + raise OutputParserError(text) + + +@output_parser_registry.register("nlp_classroom_9players") +class NlpClassroom9PlayersParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Action:") + and cleaned_output[1].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[0][len("Action:") :].strip() + action_input = cleaned_output[1][len("Action Input:") :].strip() + if action == "Speak": + return AgentFinish({"output": action_input}, text) + elif action == "CallOn": + return AgentFinish({"output": "[CallOn] " + action_input}, text) + elif action == "RaiseHand": + return AgentFinish({"output": "[RaiseHand] " + action_input}, text) + elif action == "Listen": + return AgentFinish({"output": ""}, text) + else: + return AgentAction(action, action_input, text) + + +@output_parser_registry.register("nlp_classroom_9players_group") +class NlpClassroom9PlayersGroupParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Action:") + and cleaned_output[1].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[0][len("Action:") :].strip() + action_input = cleaned_output[1][len("Action Input:") :].strip() + if action == "Speak": + return AgentFinish({"output": action_input}, text) + elif action in ["CallOn", "RaiseHand", "GroupDiscuss"]: + return AgentFinish({"output": f"[{action}] {action_input}"}, text) + elif action == "Listen": + return AgentFinish({"output": ""}, text) + else: + return AgentAction(action, action_input, text) + + +@output_parser_registry.register("pokemon") +class PokemonParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 3 + and cleaned_output[0].startswith("Thought:") + and cleaned_output[1].startswith("Action:") + and cleaned_output[2].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[1][len("Action:") :].strip() + action_input = cleaned_output[2][len("Action Input:") :].strip() + try: + action_input = json.loads(action_input) + except json.JSONDecodeError: + raise OutputParserError(text) + action_input["action"] = action + return AgentFinish({"output": json.dumps(action_input)}, text) + + +@output_parser_registry.register("prisoner_dilemma") +class PrisonerDilemmaParser(OutputParser): + # make sure 1 1 2 2 3 3 + cur_round: int = 1 + encounter_cur_round: bool = False + + def parse( + self, agent: "BaseAgent", environment: "BaseEnvironment", output: LLMResult + ) -> Union[AgentAction, AgentFinish]: + text = output.content + cleaned_output = text.strip() + cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + cleaned_output = cleaned_output.split("\n") + if not ( + len(cleaned_output) == 2 + and cleaned_output[0].startswith("Action:") + and cleaned_output[1].startswith("Action Input:") + ): + raise OutputParserError(text) + action = cleaned_output[0][len("Action:") :].strip() + action_input = cleaned_output[1][len("Action Input:") :].strip() + + if action == "Speak": + # make sure the police count the round right + # if agent.name == "Police": + # action_input = re.sub(r'Round (\d+)', f'Round {self.cur_round}', action_input) + # self.cur_round += 1 + # if self.encounter_cur_round: + # self.encounter_cur_round = False + # self.cur_round += 1 + # else: + # self.encounter_cur_round = True + + # each time police speak is a new round + if agent.name == "Police": + if environment.cnt_turn == (environment.max_turns - 4): + action_input = ( + "Attention! You are now required to made your final decision and I will made the " + "final judgement to both of you based on this time, Please Answer now !" + ) + + elif environment.cnt_turn == (environment.max_turns - 2): + action_input = "Attention! Suspect2, it's now your time to make your final decision, Please Answer now !" + + # elif self.cur_round == 1: + # action_input = "Hey Listen! You are both arrested, and I am going to give you both a chance to walk out of here," \ + # "But you should comply with the following rules:" \ + # "- If one of you are willing to testifies against the other and the other one remains silent, then the one who testifies will be released IMMEDIATELY, while the silent one will be sentenced to TEN years in prison." \ + # "- If both of you remain silent, you will each receive a sentence of ONE year in prison." \ + # "- It seems that always testifying is a goog strategy, So! if you both choose to testify against each other, you will each receive a sentence of FIVE years in prison." \ + # "Now, it's your time to consider testifying or remaining silent. Remember this is a best chance you might ever have to walk out of here without guilty." \ + # "I will noticed both of you WHEN you have to make your final decision! Before that, try to make your best!" \ + + self.cur_round += 1 + + return AgentFinish({"output": action_input}, text) + else: + raise OutputParserError(text) + + +@output_parser_registry.register("sde_team/sde_team_2players") +@output_parser_registry.register("sde_team/sde_team_3players") +@output_parser_registry.register("commongen") +@output_parser_registry.register("humaneval-manager") +@output_parser_registry.register("mgsm") +@output_parser_registry.register("dummy") +@output_parser_registry.register("responsegen") +class CommonParser2(OutputParser): + # def parse(self, agent, env, output: LLMResult) -> Union[AgentAction, AgentFinish]: + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + return AgentFinish({"output": output.content}, output.content) + + +@output_parser_registry.register("role_assigner") +class RoleAssignerParser(OutputParser): + cnt_critic_agents: int = 0 + + def parse(self, output: LLMResult) -> List[str]: + text = output.content + pattern = re.compile(r"\d\.\s*(.+)") + roles = pattern.findall(text) + if len(roles) < self.cnt_critic_agents: + logger.error( + f"Role assigner failed to assign roles to {self.cnt_critic_agents} critics!" + ) + raise OutputParserError(text) + return roles + + +@output_parser_registry.register("evaluator") +class EvaluatorParser(OutputParser): + dimensions: List[str] = None + + def parse(self, output: LLMResult) -> Tuple[List[int], str]: + text = output.content + cleaned_output = re.sub(r"\n+", "\n", text.strip()) + checks = cleaned_output.split("\n") + patterns = [ + re.compile(r"(?:\d\.\s*)?" + dimension + r":\s*(\d)") + for dimension in self.dimensions + ] + try: + # find score and advice + score = [ + int(pattern.findall(checks[i])[0]) for i, pattern in enumerate(patterns) + ] + advice_text = "".join(checks[len(self.dimensions) :]) + advice = re.findall(r"(?:\d\.\s*)?Advice:\s*(.+)", advice_text)[0] + # logger.info("Evaluator give the following advice:\n" + advice) + except (IndexError, ValueError): + # logger.error("Bad response from evaluator!") + raise OutputParserError(text) + return score, advice + + +@output_parser_registry.register("humaneval-solver") +class HumanevalSolverParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + # start_pos = text.find("```") + # end_pos = text.rfind("```") + # if end_pos == -1: + # raise OutputParserError(text) + # text = text[start_pos:end_pos] + # cleaned_output = text.strip().strip("```").strip() + # if cleaned_output.startswith("python"): + # cleaned_output = cleaned_output[6:].strip() + # elif cleaned_output.startswith("python3"): + # cleaned_output = cleaned_output[7:].strip() + code = re.findall(r"```.*?\n(.+?)```", text, re.DOTALL)[-1] + + return AgentFinish({"output": code}, text) + + +@output_parser_registry.register("humaneval-executor") +class HumanevalSolverParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + try: + parsed_result = re.findall( + r"Thought:(.+?)Reasoning:(.+?)Criticism:(.+?)File Path:(.+?)Code:(.+?)Command:(.+)", + text, + re.DOTALL, + )[0] + cleaned_output = { + "thought": parsed_result[0].strip(), + "reasoning": parsed_result[1].strip(), + "criticism": parsed_result[2].strip(), + "file_path": parsed_result[3].strip().strip("`"), + "code": parsed_result[4] + .strip() + .strip("```") + .strip("python") + .strip("python3"), + "command": parsed_result[5].strip().strip("`"), + } + except BaseException as e: + raise OutputParserError(text) + + return AgentFinish({"output": cleaned_output}, text) + + +@output_parser_registry.register("humaneval-evaluator") +class HumanevalEvaluatorParser(OutputParser): + dimensions: List[str] = None + + def parse(self, output: LLMResult) -> Tuple[List[int], str]: + text = output.content + cleaned_output = re.sub(r"\n+", "\n", text.strip()) + checks = cleaned_output.split("\n") + + patterns = [ + re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d)") + for dimension in self.dimensions + ] + + advice = "" + for check in reversed(checks): + advice = check + advice + if check.startswith("Advice:"): + break + checks[-1] = advice + try: + # find score and advice + score = [] + for pattern in patterns: + for check in checks[:-1]: + if pattern.findall(check): + score.append(bool(int(pattern.findall(check)[0]))) + break + advice = re.findall(r"(?:\d.\s*)?Advice:\s*(.+)", checks[-1])[0] + # logger.info("Evaluator give the following advice:\n" + advice) + except (IndexError, ValueError): + # logger.error("Bad response from evaluator!") + raise OutputParserError(text) + return score[0], advice + + +@output_parser_registry.register("humaneval-critic-agree") +class HumanevalyCriticParser(OutputParser): + def parse(self, output: LLMResult) -> AgentCriticism: + text = output.content + if "[Agree]" in text: + return AgentCriticism(True, "") + else: + return AgentCriticism(False, text) + + +@output_parser_registry.register("mgsm-evaluator") +class MGSMEvaluatorParser(OutputParser): + dimensions: List[str] = None + + def parse(self, output: LLMResult) -> Tuple[List[int], str]: + text = output.content + cleaned_output = re.sub(r"\n+", "\n", text.strip()) + # checks = cleaned_output.split("\n") + + patterns = [ + re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d)") + for dimension in self.dimensions + ] + try: + # find score and advice + score_num = [ + int(pattern.findall(cleaned_output)[0]) + for i, pattern in enumerate(patterns) + ][0] + if score_num == 0: + score = False + elif score_num == 1: + score = True + else: + raise ValueError("Bad score!") + pat = re.compile(r"(?:\d.\s*)?Response:\s*(.+)", re.DOTALL) + advice = pat.findall(cleaned_output)[0] + # logger.info("Evaluator give the following advice:\n" + advice) + except (IndexError, ValueError): + # logger.error("Bad response from evaluator!") + raise OutputParserError(text) + return score, advice + + +@output_parser_registry.register("mgsm-critic-agree") +class MGSMCriticAgreeParser(OutputParser): + def parse(self, output: LLMResult) -> AgentCriticism: + text = output.content + text = re.sub(r"\n+", "\n", text.strip()) + # checks = text.split("\n") + # if not text.startswith("Thought:"): + # raise OutputParserError(text) + # if not (checks[0].startswith("Action:")): + # raise OutputParserError(text) + # if checks[0].strip(". ") == "Action: Agree": + # return AgentCriticism(True, "") + if "[Agree]" in text: + return AgentCriticism(True, "") + else: + # pattern = re.compile(r"Action Input: ([\S\n ]+)") + # try: + # criticism = pattern.findall(text)[0].strip() + # criticism = ( + # re.findall(r"Output:\S?(.+)", text)[0].replace("[Wrong]", "") + # ).strip() + criticism = text.replace("[Disagree]", "").strip() + # except IndexError: + # logger.error("Bad response from critic!") + # raise OutputParserError(text) + # criticism = "I think the solution is not correct. Please think carefully and correct it." + return AgentCriticism(False, criticism) + # else: + # raise OutputParserError(text) + + +@output_parser_registry.register("responsegen-evaluator") +class ResponseGenEvaluatorParser(OutputParser): + dimensions: List[str] = None + + def parse(self, output: LLMResult) -> Tuple[List[int], str]: + text = output.content + cleaned_output = re.sub(r"\n+", "\n", text.strip()) + checks = cleaned_output.split("\n") + + patterns = [ + re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d+)") + for dimension in self.dimensions + ] + + advice = "" + for check in reversed(checks): + advice = check + advice + if check.startswith("Advice:"): + break + checks[-1] = advice + try: + # find score and advice + score = [ + int(pattern.findall(checks[i])[0]) for i, pattern in enumerate(patterns) + ] + advice = re.findall(r"(?:\d.\s*)?Advice:\s*(.+)", checks[-1])[0] + # logger.info("Evaluator give the following advice:\n" + advice) + except (IndexError, ValueError): + # logger.error("Bad response from evaluator!") + raise OutputParserError(text) + return score, advice + + +@output_parser_registry.register("responsegen-critic") +@output_parser_registry.register("critic") +class CommonParser3(OutputParser): + def parse(self, output: LLMResult) -> AgentCriticism: + text = output.content + text = re.sub(r"\n+", "\n", text.strip()) + checks = text.split("\n") + if not (checks[0].startswith("Action:")): + raise OutputParserError(text) + if checks[0].strip(". ") == "Action: Agree": + return AgentCriticism(True, "") + elif checks[0].strip(". ") == "Action: Disagree": + pattern = re.compile(r"Action Input: ([\S\n ]+)") + try: + criticism = pattern.findall(text)[0].strip() + except IndexError: + criticism = ( + "I think it is not correct. Please think carefully and improve it." + ) + # raise OutputParserError(text) + return AgentCriticism(False, criticism) + else: + raise OutputParserError(text) + + +@output_parser_registry.register("responsegen-critic-2") +class ResponseGenCriticParser(OutputParser): + def parse(self, output: LLMResult) -> AgentCriticism: + text = output.content + # text = re.sub(r"\n+", "\n", text.strip()) + # checks = text.split("\n") + # if not (checks[0].startswith("Action:")): + # raise OutputParserError(text) + # if checks[0].strip(". ") == "Action: Agree": + # return AgentCriticism(True, "") + # elif checks[0].strip(". ") == "Action: Disagree": + # pattern = re.compile(r"Action Input: ([\S\n ]+)") + # try: + # criticism = pattern.findall(text)[0].strip() + # except IndexError: + # # criticism = "I think the solution is not correct. Please think carefully and correct it." + # raise OutputParserError(text) + # return AgentCriticism(False, criticism) + # else: + # raise OutputParserError(text) + result = re.findall(r"Decision:(.+?)Response:(.+)", text, re.DOTALL) + if len(result) == 0: + result = ["Disagree", "I think the response can be further improved."] + else: + result = result[0] + if "Agree" in result[0]: + return AgentCriticism(True, "") + else: + return AgentCriticism(False, result[1].strip()) + + +@output_parser_registry.register("role-description-name-assigner") +class RoleAssignerParser(OutputParser): + cnt_critic_agents: int = 0 + + def parse(self, output: LLMResult) -> List[str]: + text = output.content + pattern = re.compile(r"\d+?\.\s*(.+?) - (.+)") + roles = pattern.findall(text) + if len(roles) < self.cnt_critic_agents: + logger.error( + f"Role assigner failed to assign roles to {self.cnt_critic_agents} critics!" + ) + raise OutputParserError(text) + res = [] + for role in roles: + res.append({"name": role[0], "description": role[1]}) + return res + + +@output_parser_registry.register("tool-using-solver") +class SolverParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + text = output.content + pattern = re.compile(r"\d+?\.\s*(.+?) - (.+)") + tasks = pattern.findall(text) + if len(tasks) == 0: + raise OutputParserError(text) + return AgentFinish({"output": tasks}, text) + + +@output_parser_registry.register("tool-using-executor") +class ToolUsingSolverParser(OutputParser): + def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: + if output.function_name != "": + return AgentAction( + tool=output.function_name, + tool_input=output.function_arguments, + log=output.content, + ) + else: + return AgentFinish({"output": output.content}, output.content) + + +@output_parser_registry.register("tool-using-evaluator") +class HumanevalEvaluatorParser(OutputParser): + def parse(self, output: LLMResult) -> Tuple[List[int], str]: + text = output.content + try: + result = re.findall(r"Status:(.+?)Speak:(.+)", text, re.DOTALL)[0] + score = bool(int(result[0])) + words = result[1].strip() + except (IndexError, ValueError): + # logger.error("Bad response from evaluator!") + raise OutputParserError(text) + return score, words diff --git a/agentverse/parser.py b/agentverse/parser.py deleted file mode 100644 index abe7ae14e..000000000 --- a/agentverse/parser.py +++ /dev/null @@ -1,25 +0,0 @@ -from agentverse.registry import Registry -from typing import NamedTuple -from abc import abstractmethod -from agentverse.llms.base import LLMResult -from pydantic import BaseModel - -output_parser_registry = Registry(name="OutputParserRegistry") - - -class OutputParserError(Exception): - """Exception raised when parsing output from a command fails.""" - - def __init__(self, message): - self.message = message - - def __str__(self): - return "Failed to parse output of the model:%s\n " % self.message - - -class OutputParser(BaseModel): - """Base class for output parsers.""" - - @abstractmethod - def parse(self, output: LLMResult) -> NamedTuple: - pass diff --git a/agentverse/tasks/__init__.py b/agentverse/tasks/__init__.py index 77f33815d..426bc0f3a 100644 --- a/agentverse/tasks/__init__.py +++ b/agentverse/tasks/__init__.py @@ -1,30 +1,4 @@ import os import yaml -from .simulation.math_problem_2players_tools.output_parser import ( - MathProblem2PlayersToolsParser, -) -from .simulation.nlp_classroom_3players.output_parser import NlpClassroom3PlayersParser -from .simulation.nlp_classroom_9players.output_parser import NlpClassroom9PlayersParser -from .simulation.nlp_classroom_3players_withtool.output_parser import ( - NlpClassroom3PlayersWithtoolParser, -) -from .simulation.nlp_classroom_9players_group.output_parser import ( - NlpClassroom9PlayersGroupParser, -) -from .simulation.db_diag.output_parser import DBDiag - -from .simulation.prisoner_dilemma.output_parser import PrisonerDilemmaParser - -from .simulation.pokemon.output_parser import PokemonParser -from .simulation.sde_team.sde_team_3players.output_parser import SdeTeamParser -from .simulation.sde_team.sde_team_2players.output_parser import SdeTeamGivenTestsParser - -from .tasksolving.pythoncalculator.output_parser import PipelinePythoncalculatorParser -from .tasksolving.brainstorming.output_parser import * -from .tasksolving.humaneval.output_parser import * -from .tasksolving.tool_using.output_parser import * -from .tasksolving.mgsm.output_parser import * -from .tasksolving.responsegen.output_parser import * -from .tasksolving.logic_grid.output_parser import * -from .tasksolving.commongen.output_parser import * +from agentverse.output_parser import * diff --git a/agentverse/tasks/simulation/alice_home/output_parser.py b/agentverse/tasks/simulation/alice_home/output_parser.py deleted file mode 100644 index 32d6a5faa..000000000 --- a/agentverse/tasks/simulation/alice_home/output_parser.py +++ /dev/null @@ -1,29 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -from agentverse.parser import OutputParser, LLMResult - -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry - - -@output_parser_registry.register("alice_home") -class AliceHomeParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Thought:") - and cleaned_output[1].startswith("Action:") - ): - raise OutputParserError(text) - - action = cleaned_output[1][len("Action:"):].strip() - - return AgentFinish({"output": action}, text) diff --git a/agentverse/tasks/simulation/db_diag/output_parser.py b/agentverse/tasks/simulation/db_diag/output_parser.py deleted file mode 100644 index 9fad13f78..000000000 --- a/agentverse/tasks/simulation/db_diag/output_parser.py +++ /dev/null @@ -1,40 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - - -# from langchain.schema import AgentAction, AgentFinish -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry -from agentverse.parser import OutputParser -from agentverse.llms.base import LLMResult - - -@output_parser_registry.register("db_diag") -class DBDiag(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 3 - and cleaned_output[0].startswith("Thought:") - and cleaned_output[1].startswith("Action:") - and cleaned_output[2].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[1][len("Action:") :].strip() - action_input = cleaned_output[2][len("Action Input:") :].strip() - if action in ["Speak"]: - return AgentFinish({"output": action_input}, text) - elif action == "CallOn": - return AgentFinish({"output": "[CallOn] " + action_input}, text) - elif action == "RaiseHand": - return AgentFinish({"output": "[RaiseHand] " + action_input}, text) - elif action == "Listen": - return AgentFinish({"output": ""}, text) - else: - return AgentAction(action.lower(), action_input, text) diff --git a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml index 1599d8356..6e154b9d2 100644 --- a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml +++ b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml @@ -12,12 +12,12 @@ prompts: When responding, please use the following two-line format: [Option 1]: When you need to use a tool, output in the following format (omit the "[]" bracket when responding) - ACTION: (a tool name, it can be one of [${tool_names}]) - ACTION INPUT: (input arguments for the tool) + Action: (a tool name, it can be one of [${tool_names}]) + Action Input: (input arguments for the tool) [Option 2]: When you want to speak, you can use the following format: - ACTION: Speak - ACTION INPUT: (what you want to say in a single line) + Action: Speak + Action Input: (what you want to say in a single line) Here is the conversation history ${chat_history} @@ -25,7 +25,7 @@ prompts: Here is the observations from tool execution: ${tool_observation} - Now the game starts! ${role_description} You should give your action based on the above history. Remember, you should ALWAYS give your response STRICTLY in the above response format with the TWO lines start with "ACTION:" and "ACTION INPUT:" respectively! + Now the game starts! ${role_description} You should give your action based on the above history. Remember, you should ALWAYS give your response STRICTLY in the above response format with the TWO lines start with "Action:" and "Action Input:" respectively! summary_prompt: &summary_prompt | Progressively summarize the lines of a record that you uses tools, which contains inputs for certain tools and the results returned by these tools. Based on the current summary, you need to summarize from the record the goals that the you intended to solve with each call to the tool, add it onto the previous summary, and eventually return a new summary. diff --git a/agentverse/tasks/simulation/math_problem_2players_tools/output_parser.py b/agentverse/tasks/simulation/math_problem_2players_tools/output_parser.py deleted file mode 100644 index 24729b307..000000000 --- a/agentverse/tasks/simulation/math_problem_2players_tools/output_parser.py +++ /dev/null @@ -1,32 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms.base import LLMResult -from agentverse.utils import AgentAction, AgentFinish - - -@output_parser_registry.register("math_problem_2players_tools") -class MathProblem2PlayersToolsParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and - # cleaned_output[0].startswith("THOUGHT:") and - cleaned_output[0].startswith("ACTION:") - and cleaned_output[1].startswith("ACTION INPUT:") - ): - print(text) - raise OutputParserError("Output Format Error") - action = cleaned_output[0][len("ACTION:") :].strip() - action_input = cleaned_output[1][len("ACTION INPUT:") :].strip() - if action == "Speak": - return AgentFinish({"output": action_input}, text) - else: - return AgentAction(action, action_input, text) diff --git a/agentverse/tasks/simulation/nlp_classroom_3players/output_parser.py b/agentverse/tasks/simulation/nlp_classroom_3players/output_parser.py deleted file mode 100644 index 4c4563bb4..000000000 --- a/agentverse/tasks/simulation/nlp_classroom_3players/output_parser.py +++ /dev/null @@ -1,31 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -from agentverse.parser import OutputParser, LLMResult - -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry - - -@output_parser_registry.register("nlp_classroom_3players") -class NlpClassroom3PlayersParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() - if action == "Speak": - return AgentFinish({"output": action_input}, text) - else: - raise OutputParserError(text) diff --git a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/output_parser.py b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/output_parser.py deleted file mode 100644 index 2bb9a0aef..000000000 --- a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/output_parser.py +++ /dev/null @@ -1,39 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - - -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry -from agentverse.parser import OutputParser -from agentverse.llms.base import LLMResult - - -@output_parser_registry.register("nlp_classroom_3players_withtool") -class NlpClassroom3PlayersWithtoolParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 3 - and cleaned_output[0].startswith("Thought:") - and cleaned_output[1].startswith("Action:") - and cleaned_output[2].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[1][len("Action:") :].strip() - action_input = cleaned_output[2][len("Action Input:") :].strip() - if action in ["Speak"]: - return AgentFinish({"output": action_input}, text) - elif action == "CallOn": - return AgentFinish({"output": "[CallOn] " + action_input}, text) - elif action == "RaiseHand": - return AgentFinish({"output": "[RaiseHand] " + action_input}, text) - elif action == "Listen": - return AgentFinish({"output": ""}, text) - else: - return AgentAction(action.lower(), action_input, text) diff --git a/agentverse/tasks/simulation/nlp_classroom_9players/output_parser.py b/agentverse/tasks/simulation/nlp_classroom_9players/output_parser.py deleted file mode 100644 index 6a10c7f6d..000000000 --- a/agentverse/tasks/simulation/nlp_classroom_9players/output_parser.py +++ /dev/null @@ -1,36 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult - - -@output_parser_registry.register("nlp_classroom_9players") -class NlpClassroom9PlayersParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() - if action == "Speak": - return AgentFinish({"output": action_input}, text) - elif action == "CallOn": - return AgentFinish({"output": "[CallOn] " + action_input}, text) - elif action == "RaiseHand": - return AgentFinish({"output": "[RaiseHand] " + action_input}, text) - elif action == "Listen": - return AgentFinish({"output": ""}, text) - else: - return AgentAction(action, action_input, text) diff --git a/agentverse/tasks/simulation/nlp_classroom_9players_group/output_parser.py b/agentverse/tasks/simulation/nlp_classroom_9players_group/output_parser.py deleted file mode 100644 index 91c87c89b..000000000 --- a/agentverse/tasks/simulation/nlp_classroom_9players_group/output_parser.py +++ /dev/null @@ -1,34 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult - - -@output_parser_registry.register("nlp_classroom_9players_group") -class NlpClassroom9PlayersGroupParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() - if action == "Speak": - return AgentFinish({"output": action_input}, text) - elif action in ["CallOn", "RaiseHand", "GroupDiscuss"]: - return AgentFinish({"output": f"[{action}] {action_input}"}, text) - elif action == "Listen": - return AgentFinish({"output": ""}, text) - else: - return AgentAction(action, action_input, text) diff --git a/agentverse/tasks/simulation/pokemon/output_parser.py b/agentverse/tasks/simulation/pokemon/output_parser.py deleted file mode 100644 index e96f7e3cf..000000000 --- a/agentverse/tasks/simulation/pokemon/output_parser.py +++ /dev/null @@ -1,36 +0,0 @@ -from __future__ import annotations - -import re -import json -from typing import Union - -from agentverse.parser import OutputParser, LLMResult - -# from langchain.schema import AgentAction, AgentFinish -from agentverse.utils import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry - - -@output_parser_registry.register("pokemon") -class PokemonParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 3 - and cleaned_output[0].startswith("Thought:") - and cleaned_output[1].startswith("Action:") - and cleaned_output[2].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[1][len("Action:") :].strip() - action_input = cleaned_output[2][len("Action Input:") :].strip() - try: - action_input = json.loads(action_input) - except json.JSONDecodeError: - raise OutputParserError(text) - action_input["action"] = action - return AgentFinish({"output": json.dumps(action_input)}, text) diff --git a/agentverse/tasks/simulation/prisoner_dilemma/output_parser.py b/agentverse/tasks/simulation/prisoner_dilemma/output_parser.py deleted file mode 100644 index 05a41e0f8..000000000 --- a/agentverse/tasks/simulation/prisoner_dilemma/output_parser.py +++ /dev/null @@ -1,74 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, TYPE_CHECKING - -# from langchain.agents import AgentOutputParser -from agentverse.parser import OutputParser, LLMResult -#from langchain.schema import AgentAction, AgentFinish -from agentverse.utils import AgentAction, AgentFinish -from agentverse.parser import OutputParserError, output_parser_registry - -if TYPE_CHECKING: - from agentverse.agents.base import BaseAgent - from agentverse.environments.base import BaseEnvironment - - -@output_parser_registry.register("prisoner_dilemma") -class PrisonerDilemmaParser(OutputParser): - # make sure 1 1 2 2 3 3 - cur_round: int = 1 - encounter_cur_round: bool = False - - def parse( - self, agent: "BaseAgent", environment: "BaseEnvironment", output: LLMResult - ) -> Union[AgentAction, AgentFinish]: - text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): - raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() - - if action == "Speak": - # make sure the police count the round right - # if agent.name == "Police": - # action_input = re.sub(r'Round (\d+)', f'Round {self.cur_round}', action_input) - # self.cur_round += 1 - # if self.encounter_cur_round: - # self.encounter_cur_round = False - # self.cur_round += 1 - # else: - # self.encounter_cur_round = True - - # each time police speak is a new round - if agent.name == "Police": - if environment.cnt_turn == (environment.max_turns - 4): - action_input = ( - "Attention! You are now required to made your final decision and I will made the " - "final judgement to both of you based on this time, Please Answer now !" - ) - - elif environment.cnt_turn == (environment.max_turns - 2): - action_input = "Attention! Suspect2, it's now your time to make your final decision, Please Answer now !" - - # elif self.cur_round == 1: - # action_input = "Hey Listen! You are both arrested, and I am going to give you both a chance to walk out of here," \ - # "But you should comply with the following rules:" \ - # "- If one of you are willing to testifies against the other and the other one remains silent, then the one who testifies will be released IMMEDIATELY, while the silent one will be sentenced to TEN years in prison." \ - # "- If both of you remain silent, you will each receive a sentence of ONE year in prison." \ - # "- It seems that always testifying is a goog strategy, So! if you both choose to testify against each other, you will each receive a sentence of FIVE years in prison." \ - # "Now, it's your time to consider testifying or remaining silent. Remember this is a best chance you might ever have to walk out of here without guilty." \ - # "I will noticed both of you WHEN you have to make your final decision! Before that, try to make your best!" \ - - self.cur_round += 1 - - return AgentFinish({"output": action_input}, text) - else: - raise OutputParserError(text) diff --git a/agentverse/tasks/simulation/sde_team/sde_team_2players/output_parser.py b/agentverse/tasks/simulation/sde_team/sde_team_2players/output_parser.py deleted file mode 100644 index f7cea629c..000000000 --- a/agentverse/tasks/simulation/sde_team/sde_team_2players/output_parser.py +++ /dev/null @@ -1,19 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -#from langchain.agents import AgentOutputParser - -# from langchain.schema import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms.base import LLMResult -from agentverse.utils import AgentAction, AgentFinish - - -@output_parser_registry.register("sde_team/sde_team_2players") -class SdeTeamGivenTestsParser(OutputParser): - #def parse(self, agent, env, output: LLMResult) -> Union[AgentAction, AgentFinish]: - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) diff --git a/agentverse/tasks/simulation/sde_team/sde_team_3players/output_parser.py b/agentverse/tasks/simulation/sde_team/sde_team_3players/output_parser.py deleted file mode 100644 index 304dd7f99..000000000 --- a/agentverse/tasks/simulation/sde_team/sde_team_3players/output_parser.py +++ /dev/null @@ -1,19 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union - -# from langchain.agents import AgentOutputParser - -# from langchain.schema import AgentAction, AgentFinish - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms.base import LLMResult -from agentverse.utils import AgentAction, AgentFinish - - -@output_parser_registry.register("sde_team/sde_team_3players") -class SdeTeamParser(OutputParser): - #def parse(self, agent, env, output: LLMResult) -> Union[AgentAction, AgentFinish]: - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) diff --git a/agentverse/tasks/tasksolving/brainstorming/output_parser.py b/agentverse/tasks/tasksolving/brainstorming/output_parser.py deleted file mode 100644 index d0041ec46..000000000 --- a/agentverse/tasks/tasksolving/brainstorming/output_parser.py +++ /dev/null @@ -1,77 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - - -logger = get_logger() - - -@output_parser_registry.register("role_assigner") -class RoleAssignerParser(OutputParser): - cnt_critic_agents: int = 0 - - def parse(self, output: LLMResult) -> List[str]: - text = output.content - pattern = re.compile(r"\d\.\s*(.+)") - roles = pattern.findall(text) - if len(roles) < self.cnt_critic_agents: - logger.error( - f"Role assigner failed to assign roles to {self.cnt_critic_agents} critics!" - ) - raise OutputParserError(text) - return roles - - -@output_parser_registry.register("critic") -class CriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - text = re.sub(r"\n+", "\n", text.strip()) - checks = text.split("\n") - if not (checks[0].startswith("Action:")): - raise OutputParserError(text) - if checks[0].strip(". ") == "Action: Agree": - return AgentCriticism(True, "") - elif checks[0].strip(". ") == "Action: Disagree": - pattern = re.compile(r"Action Input: ([\S\n ]+)") - try: - criticism = pattern.findall(text)[0].strip() - except IndexError: - logger.error("Bad response from critic!") - raise OutputParserError(text) - return AgentCriticism(False, criticism) - else: - raise OutputParserError(text) - - -@output_parser_registry.register("evaluator") -class EvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - cleaned_output = re.sub(r"\n+", "\n", text.strip()) - checks = cleaned_output.split("\n") - patterns = [ - re.compile(r"(?:\d\.\s*)?" + dimension + r":\s*(\d)") - for dimension in self.dimensions - ] - try: - # find score and advice - score = [ - int(pattern.findall(checks[i])[0]) for i, pattern in enumerate(patterns) - ] - advice_text = "".join(checks[len(self.dimensions) :]) - advice = re.findall(r"(?:\d\.\s*)?Advice:\s*(.+)", advice_text)[0] - # logger.info("Evaluator give the following advice:\n" + advice) - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score, advice diff --git a/agentverse/tasks/tasksolving/commongen/output_parser.py b/agentverse/tasks/tasksolving/commongen/output_parser.py deleted file mode 100644 index 88d3e166a..000000000 --- a/agentverse/tasks/tasksolving/commongen/output_parser.py +++ /dev/null @@ -1,93 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - -logger = get_logger() - - -@output_parser_registry.register("commongen") -class CommongenParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) - - -@output_parser_registry.register("commongen-solver") -class CommongenSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - end_pos = text.rfind("```") - if end_pos == -1: - raise OutputParserError(text) - text = text[:end_pos] - cleaned_output = text.strip().strip("```").strip() - if cleaned_output.startswith("python"): - cleaned_output = cleaned_output[6:].strip() - elif cleaned_output.startswith("python3"): - cleaned_output = cleaned_output[7:].strip() - return AgentFinish({"output": cleaned_output}, text) - - -@output_parser_registry.register("commongen-evaluator") -class CommongenEvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - cleaned_output = re.sub(r"\n+", "\n", text.strip()) - checks = cleaned_output.split("\n") - - patterns = [ - re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d)") - for dimension in self.dimensions - ] - - advice = "" - for check in reversed(checks): - advice = check + advice - if check.startswith("Advice:"): - break - checks[-1] = advice - try: - # find score and advice - score = [] - for pattern in patterns: - for check in checks[:-1]: - if pattern.findall(check): - score.append(bool(pattern.findall(check)[0])) - break - advice = re.findall(r"(?:\d.\s*)?Advice:\s*(.+)", checks[-1])[0] - # logger.info("Evaluator give the following advice:\n" + advice) - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score[0], advice - - -@output_parser_registry.register("commongen-critic") -class CommongenCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - text = re.sub(r"\n+", "\n", text.strip()) - checks = text.split("\n") - if not (checks[0].startswith("Action:")): - raise OutputParserError(text) - if checks[0].strip(". ") == "Action: Agree": - return AgentCriticism(True, "") - elif checks[0].strip(". ") == "Action: Disagree": - pattern = re.compile(r"Action Input: ([\S\n ]+)") - try: - criticism = pattern.findall(text)[0].strip() - except IndexError: - # logger.error("Bad response from critic!") - # raise OutputParserError(text) - criticism = "I think the solution is not correct. Please think carefully and correct it." - return AgentCriticism(False, criticism) - else: - raise OutputParserError(text) diff --git a/agentverse/tasks/tasksolving/humaneval/output_parser.py b/agentverse/tasks/tasksolving/humaneval/output_parser.py deleted file mode 100644 index 1eb9c023d..000000000 --- a/agentverse/tasks/tasksolving/humaneval/output_parser.py +++ /dev/null @@ -1,311 +0,0 @@ -from __future__ import annotations - -import re -import json -import ast -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - -logger = get_logger() - - -@output_parser_registry.register("humaneval") -class HumanevalParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) - - -@output_parser_registry.register("humaneval-solver") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - # start_pos = text.find("```") - # end_pos = text.rfind("```") - # if end_pos == -1: - # raise OutputParserError(text) - # text = text[start_pos:end_pos] - # cleaned_output = text.strip().strip("```").strip() - # if cleaned_output.startswith("python"): - # cleaned_output = cleaned_output[6:].strip() - # elif cleaned_output.startswith("python3"): - # cleaned_output = cleaned_output[7:].strip() - code = re.findall(r"```.*?\n(.+?)```", text, re.DOTALL)[-1] - - return AgentFinish({"output": code}, text) - - -@output_parser_registry.register("humaneval-critic-central") -class HumanevalCriticParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentCriticism(False, output.content) - - -@output_parser_registry.register("humaneval-solver-autogpt") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - json_dict = re.findall(r"```.*?\n(.+?)```", text, re.DOTALL)[-1] - try: - cleaned_output = ast.literal_eval(json_dict) - except BaseException as e: - raise OutputParserError(text) - if "code" not in json_dict: - raise OutputParserError(text) - return AgentFinish({"output": cleaned_output["code"]}, text) - - -@output_parser_registry.register("humaneval-solver-autogpt-2") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Text:(.+?)Reasoning:(.+?)Criticism:(.+?)Code:(.+)", text, re.DOTALL - )[0] - except BaseException as e: - raise OutputParserError(text) - code = parsed_result[-1].strip() - if code.startswith("```"): - try: - code = re.findall(r"```.*?\n(.+?)```", code, re.DOTALL)[0].strip() - except BaseException as e: - raise OutputParserError(text) - return AgentFinish({"output": code}, text) - - -@output_parser_registry.register("humaneval-manager") -class HumanevalManagerParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) - - -# @output_parser_registry.register("humaneval-solver") -# class HumanevalSolverParser(OutputParser): -# def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: -# text = output.content -# end_pos = text.rfind("```") -# if end_pos == -1: -# raise OutputParserError(text) -# text = text[:end_pos] -# cleaned_output = text.strip().strip("```").strip() -# if cleaned_output.startswith("python"): -# cleaned_output = cleaned_output[6:].strip() -# elif cleaned_output.startswith("python3"): -# cleaned_output = cleaned_output[7:].strip() -# return AgentFinish({"output": cleaned_output}, text) - - -@output_parser_registry.register("humaneval-executor-autogpt") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - json_dict = re.findall(r"```.*?\n(.+?)```", text, re.DOTALL)[-1] - try: - cleaned_output = ast.literal_eval(json_dict) - except BaseException as e: - raise OutputParserError(text) - if not ( - "code" in json_dict and "file_path" in json_dict and "command" in json_dict - ): - raise OutputParserError(text) - return AgentFinish({"output": cleaned_output}, text) - - -@output_parser_registry.register("humaneval-executor") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Thought:(.+?)Reasoning:(.+?)Criticism:(.+?)File Path:(.+?)Code:(.+?)Command:(.+)", - text, - re.DOTALL, - )[0] - cleaned_output = { - "thought": parsed_result[0].strip(), - "reasoning": parsed_result[1].strip(), - "criticism": parsed_result[2].strip(), - "file_path": parsed_result[3].strip().strip("`"), - "code": parsed_result[4] - .strip() - .strip("```") - .strip("python") - .strip("python3"), - "command": parsed_result[5].strip().strip("`"), - } - except BaseException as e: - raise OutputParserError(text) - - return AgentFinish({"output": cleaned_output}, text) - - - -@output_parser_registry.register("humaneval-executor-fc") -class HumanevalSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - - #print("======") - #print(output) - #print("======") - - try: - #output_dict = eval(text) - output_dict = json.loads(text, strict=False) #The control characters (character codes in the 0-31 range, including '\t' (tab), '\n', '\r' and '\0'.") will be allowed inside strings - ''' - cleaned_output = { - "thought": output_dict["thought"].strip(), - "file_path": output_dict["file_path"].strip().strip("`"), - "code": output_dict["code"] - .strip() - .strip("```") - .strip("python") - .strip("python3"), - "command": output_dict["command"].strip().strip("`"), - } - ''' - cleaned_output = output_dict - except BaseException as e: - raise OutputParserError(text) - - return AgentFinish({"output": cleaned_output}, text) - - - -@output_parser_registry.register("humaneval-evaluator") -class HumanevalEvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - cleaned_output = re.sub(r"\n+", "\n", text.strip()) - checks = cleaned_output.split("\n") - - patterns = [ - re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d)") - for dimension in self.dimensions - ] - - advice = "" - for check in reversed(checks): - advice = check + advice - if check.startswith("Advice:"): - break - checks[-1] = advice - try: - # find score and advice - score = [] - for pattern in patterns: - for check in checks[:-1]: - if pattern.findall(check): - score.append(bool(int(pattern.findall(check)[0]))) - break - advice = re.findall(r"(?:\d.\s*)?Advice:\s*(.+)", checks[-1])[0] - # logger.info("Evaluator give the following advice:\n" + advice) - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score[0], advice - - -@output_parser_registry.register("humaneval-evaluator-2") -class HumanevalEvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - pattern = re.compile( - r"Response:(.+?)" - + "".join( - [ - f"{dimension}:(.+?)" - if i != len(self.dimensions) - 1 - else f"{dimension}:(.+)" - for i, dimension in enumerate(self.dimensions) - ] - ), - re.DOTALL, - ) - try: - parsed_result = pattern.findall(text)[0] - score = [bool(int(x.strip())) for x in parsed_result[1:]] - advice = parsed_result[0].strip() - except BaseException as e: - raise OutputParserError(text) - return score[0], advice - - -@output_parser_registry.register("humaneval-critic") -class HumanevalyCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - text = re.sub(r"\n+", "\n", text.strip()) - checks = text.split("\n") - if not (checks[0].startswith("Action:")): - raise OutputParserError(text) - if checks[0].strip(". ") == "Action: Agree": - return AgentCriticism(True, "") - elif checks[0].strip(". ") == "Action: Disagree": - pattern = re.compile(r"Action Input: ([\S\n ]+)") - try: - criticism = pattern.findall(text)[0].strip() - except IndexError: - # logger.error("Bad response from critic!") - # raise OutputParserError(text) - criticism = "I think the solution is not correct. Please think carefully and correct it." - return AgentCriticism(False, criticism) - else: - raise OutputParserError(text) - - -@output_parser_registry.register("humaneval-critic-agree") -class HumanevalyCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - if "[Agree]" in text: - return AgentCriticism(True, "") - else: - return AgentCriticism(False, text) - - -@output_parser_registry.register("humaneval-critic-autogpt") -class HumanevalCriticParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Text:(.+?)Reasoning:(.+?)Criticism:(.+?)Speak:(.+?)Final Decision:(.+)", - text, - re.DOTALL, - )[0] - except BaseException as e: - raise OutputParserError(text) - decision = parsed_result[-1].strip() - if "[Agree]" in decision: - return AgentCriticism(True, "") - else: - return AgentCriticism(False, parsed_result[-2].strip()) - - -@output_parser_registry.register("humaneval-critic-autogpt-2") -class HumanevalCriticParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Problem Analysis:(.+?)Solution Analysis:(.+?)Decision:(.+?)Suggestion:(.+)", - text, - re.DOTALL, - )[0] - except BaseException as e: - raise OutputParserError(text) - decision = parsed_result[-2].strip() - if "[Agree]" in decision: - return AgentCriticism(True, "") - else: - return AgentCriticism(False, parsed_result[-1].strip()) diff --git a/agentverse/tasks/tasksolving/logic_grid/output_parser.py b/agentverse/tasks/tasksolving/logic_grid/output_parser.py deleted file mode 100644 index 7f8a0d10d..000000000 --- a/agentverse/tasks/tasksolving/logic_grid/output_parser.py +++ /dev/null @@ -1,13 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - - -logger = get_logger() diff --git a/agentverse/tasks/tasksolving/mgsm/output_parser.py b/agentverse/tasks/tasksolving/mgsm/output_parser.py deleted file mode 100644 index f7cd2c0f4..000000000 --- a/agentverse/tasks/tasksolving/mgsm/output_parser.py +++ /dev/null @@ -1,166 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - - -logger = get_logger() - - -@output_parser_registry.register("mgsm") -class MGSMParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) - - -@output_parser_registry.register("mgsm-solver-autogpt") -class MGSMSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Thought:(.+?)Reasoning:(.+?)Criticism:(.+?)Solution:(.+)", - text, - re.DOTALL, - )[0] - except BaseException as e: - raise OutputParserError(text) - return AgentFinish({"output": re.sub(r"\n+", "\n", text.strip())}, text) - - -@output_parser_registry.register("mgsm-evaluator") -class MGSMEvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - cleaned_output = re.sub(r"\n+", "\n", text.strip()) - # checks = cleaned_output.split("\n") - - patterns = [ - re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d)") - for dimension in self.dimensions - ] - try: - # find score and advice - score_num = [ - int(pattern.findall(cleaned_output)[0]) - for i, pattern in enumerate(patterns) - ][0] - if score_num == 0: - score = False - elif score_num == 1: - score = True - else: - raise ValueError("Bad score!") - pat = re.compile(r"(?:\d.\s*)?Response:\s*(.+)", re.DOTALL) - advice = pat.findall(cleaned_output)[0] - # logger.info("Evaluator give the following advice:\n" + advice) - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score, advice - - -@output_parser_registry.register("mgsm-evaluator-autogpt") -class MGSMCriticParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Thought:(.+?)Reasoning:(.+?)Criticism:(.+?)Speak:(.+?)Correctness:(.+)", - text, - re.DOTALL, - )[0] - score = int(parsed_result[-1]) - advice = parsed_result[-2] - except BaseException as e: - raise OutputParserError(text) - return score, advice - - -@output_parser_registry.register("mgsm-critic") -class MGSMCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - return AgentCriticism(False, text) - # text = re.sub(r"\n+", "\n", text.strip()) - # checks = text.split("\n") - # if not text.startswith("Thought:"): - # raise OutputParserError(text) - # if not (checks[0].startswith("Action:")): - # raise OutputParserError(text) - # if checks[0].strip(". ") == "Action: Agree": - # return AgentCriticism(True, "") - if "[Correct]" in text: - return AgentCriticism(True, "") - else: - # pattern = re.compile(r"Action Input: ([\S\n ]+)") - # try: - # criticism = pattern.findall(text)[0].strip() - # criticism = ( - # re.findall(r"Output:\S?(.+)", text)[0].replace("[Wrong]", "") - # ).strip() - criticism = text.replace("[Wrong]", "").strip() - # except IndexError: - # logger.error("Bad response from critic!") - # raise OutputParserError(text) - # criticism = "I think the solution is not correct. Please think carefully and correct it." - return AgentCriticism(False, criticism) - # else: - # raise OutputParserError(text) - - -@output_parser_registry.register("mgsm-critic-autogpt") -class MGSMCriticParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - try: - parsed_result = re.findall( - r"Thought:(.+?)Reasoning:(.+?)Criticism:(.+?)Speak:(.+?)Decision:(.+)", - text, - re.DOTALL, - )[0] - except BaseException as e: - raise OutputParserError(text) - if "[Agree]" in parsed_result[-1]: - return AgentCriticism(True, "") - else: - return AgentCriticism(False, parsed_result[-2]) - - -@output_parser_registry.register("mgsm-critic-agree") -class MGSMCriticAgreeParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - text = re.sub(r"\n+", "\n", text.strip()) - # checks = text.split("\n") - # if not text.startswith("Thought:"): - # raise OutputParserError(text) - # if not (checks[0].startswith("Action:")): - # raise OutputParserError(text) - # if checks[0].strip(". ") == "Action: Agree": - # return AgentCriticism(True, "") - if "[Agree]" in text: - return AgentCriticism(True, "") - else: - # pattern = re.compile(r"Action Input: ([\S\n ]+)") - # try: - # criticism = pattern.findall(text)[0].strip() - # criticism = ( - # re.findall(r"Output:\S?(.+)", text)[0].replace("[Wrong]", "") - # ).strip() - criticism = text.replace("[Disagree]", "").strip() - # except IndexError: - # logger.error("Bad response from critic!") - # raise OutputParserError(text) - # criticism = "I think the solution is not correct. Please think carefully and correct it." - return AgentCriticism(False, criticism) - # else: - # raise OutputParserError(text) diff --git a/agentverse/tasks/tasksolving/pythoncalculator/output_parser.py b/agentverse/tasks/tasksolving/pythoncalculator/output_parser.py deleted file mode 100644 index e37a808f6..000000000 --- a/agentverse/tasks/tasksolving/pythoncalculator/output_parser.py +++ /dev/null @@ -1,19 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - - -logger = get_logger() - - -@output_parser_registry.register("dummy") -class PipelinePythoncalculatorParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) diff --git a/agentverse/tasks/tasksolving/responsegen/output_parser.py b/agentverse/tasks/tasksolving/responsegen/output_parser.py deleted file mode 100644 index e24009f78..000000000 --- a/agentverse/tasks/tasksolving/responsegen/output_parser.py +++ /dev/null @@ -1,104 +0,0 @@ -from __future__ import annotations - -import re -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - -logger = get_logger() - - -@output_parser_registry.register("responsegen") -class ResponseGenParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - return AgentFinish({"output": output.content}, output.content) - - -@output_parser_registry.register("responsegen-evaluator") -class ResponseGenEvaluatorParser(OutputParser): - dimensions: List[str] = None - - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - cleaned_output = re.sub(r"\n+", "\n", text.strip()) - checks = cleaned_output.split("\n") - - patterns = [ - re.compile(r"(?:\d.\s*)?" + dimension + r":\s*(\d+)") - for dimension in self.dimensions - ] - - advice = "" - for check in reversed(checks): - advice = check + advice - if check.startswith("Advice:"): - break - checks[-1] = advice - try: - # find score and advice - score = [ - int(pattern.findall(checks[i])[0]) for i, pattern in enumerate(patterns) - ] - advice = re.findall(r"(?:\d.\s*)?Advice:\s*(.+)", checks[-1])[0] - # logger.info("Evaluator give the following advice:\n" + advice) - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score, advice - - -@output_parser_registry.register("responsegen-critic") -class ResponseGenCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - text = re.sub(r"\n+", "\n", text.strip()) - checks = text.split("\n") - if not (checks[0].startswith("Action:")): - raise OutputParserError(text) - if checks[0].strip(". ") == "Action: Agree": - return AgentCriticism(True, "") - elif checks[0].strip(". ") == "Action: Disagree": - pattern = re.compile(r"Action Input: ([\S\n ]+)") - try: - criticism = pattern.findall(text)[0].strip() - except IndexError: - criticism = "I think the can be further improved." - # raise OutputParserError(text) - return AgentCriticism(False, criticism) - else: - raise OutputParserError(text) - - -@output_parser_registry.register("responsegen-critic-2") -class ResponseGenCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - # text = re.sub(r"\n+", "\n", text.strip()) - # checks = text.split("\n") - # if not (checks[0].startswith("Action:")): - # raise OutputParserError(text) - # if checks[0].strip(". ") == "Action: Agree": - # return AgentCriticism(True, "") - # elif checks[0].strip(". ") == "Action: Disagree": - # pattern = re.compile(r"Action Input: ([\S\n ]+)") - # try: - # criticism = pattern.findall(text)[0].strip() - # except IndexError: - # # criticism = "I think the solution is not correct. Please think carefully and correct it." - # raise OutputParserError(text) - # return AgentCriticism(False, criticism) - # else: - # raise OutputParserError(text) - result = re.findall(r"Decision:(.+?)Response:(.+)", text, re.DOTALL) - if len(result) == 0: - result = ["Disagree", "I think the response can be further improved."] - else: - result = result[0] - if "Agree" in result[0]: - return AgentCriticism(True, "") - else: - return AgentCriticism(False, result[1].strip()) diff --git a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml index 4e65b3f5b..2ac61f385 100644 --- a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml b/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml index 97411d782..d950f8a29 100644 --- a/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/bmi/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml b/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml index abc03fe11..381bb99e2 100644 --- a/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/bookclub/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/car/config.yaml b/agentverse/tasks/tasksolving/tool_using/car/config.yaml index 4344c707e..c2a3ddddf 100644 --- a/agentverse/tasks/tasksolving/tool_using/car/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/car/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/date/config.yaml b/agentverse/tasks/tasksolving/tool_using/date/config.yaml index 6e12f1746..46865cde2 100644 --- a/agentverse/tasks/tasksolving/tool_using/date/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/date/config.yaml @@ -155,7 +155,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/diy/config.yaml b/agentverse/tasks/tasksolving/tool_using/diy/config.yaml index 8fa2f173c..ca012db37 100644 --- a/agentverse/tasks/tasksolving/tool_using/diy/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/diy/config.yaml @@ -155,7 +155,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/output_parser.py b/agentverse/tasks/tasksolving/tool_using/output_parser.py deleted file mode 100644 index f3b38450d..000000000 --- a/agentverse/tasks/tasksolving/tool_using/output_parser.py +++ /dev/null @@ -1,77 +0,0 @@ -from __future__ import annotations - -import re -import ast -from typing import Union, List, Tuple - -from agentverse.utils import AgentAction, AgentFinish, AgentCriticism - -from agentverse.parser import OutputParserError, output_parser_registry, OutputParser -from agentverse.llms import LLMResult -from agentverse.logging import get_logger - -logger = get_logger() - - -@output_parser_registry.register("role_description_name_assigner") -class RoleAssignerParser(OutputParser): - cnt_critic_agents: int = 0 - - def parse(self, output: LLMResult) -> List[str]: - text = output.content - pattern = re.compile(r"\d+?\.\s*(.+?) - (.+)") - roles = pattern.findall(text) - if len(roles) < self.cnt_critic_agents: - logger.error( - f"Role assigner failed to assign roles to {self.cnt_critic_agents} critics!" - ) - raise OutputParserError(text) - res = [] - for role in roles: - res.append({"name": role[0], "description": role[1]}) - return res - - -@output_parser_registry.register("tool-using-solver") -class SolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - text = output.content - pattern = re.compile(r"\d+?\.\s*(.+?) - (.+)") - tasks = pattern.findall(text) - if len(tasks) == 0: - raise OutputParserError(text) - return AgentFinish({"output": tasks}, text) - - -@output_parser_registry.register("tool-using-executor") -class ToolUsingSolverParser(OutputParser): - def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: - if output.function_name != "": - return AgentAction( - tool=output.function_name, - tool_input=output.function_arguments, - log=output.content, - ) - else: - return AgentFinish({"output": output.content}, output.content) - - -@output_parser_registry.register("tool-using-evaluator") -class HumanevalEvaluatorParser(OutputParser): - def parse(self, output: LLMResult) -> Tuple[List[int], str]: - text = output.content - try: - result = re.findall(r"Status:(.+?)Speak:(.+)", text, re.DOTALL)[0] - score = bool(int(result[0])) - words = result[1].strip() - except (IndexError, ValueError): - # logger.error("Bad response from evaluator!") - raise OutputParserError(text) - return score, words - - -@output_parser_registry.register("tool-using-critic") -class ToolUsingCriticParser(OutputParser): - def parse(self, output: LLMResult) -> AgentCriticism: - text = output.content - return AgentCriticism(False, text) diff --git a/agentverse/tasks/tasksolving/tool_using/party/config.yaml b/agentverse/tasks/tasksolving/tool_using/party/config.yaml index df7fad0bb..22b4be5e6 100644 --- a/agentverse/tasks/tasksolving/tool_using/party/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/party/config.yaml @@ -155,7 +155,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml b/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml index 4d1202028..3fc1a615a 100644 --- a/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/sudoku/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/trending/config.yaml b/agentverse/tasks/tasksolving/tool_using/trending/config.yaml index 101612774..25a778fd3 100644 --- a/agentverse/tasks/tasksolving/tool_using/trending/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/trending/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver diff --git a/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml b/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml index c10dd1ed0..04925ff89 100644 --- a/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/vacation/config.yaml @@ -153,7 +153,7 @@ agents: temperature: 0 max_tokens: 512 output_parser: - type: role_description_name_assigner + type: role-description-name-assigner - #solver_agent: agent_type: solver From 7739cba39b8f4f4d17b70810a2ed92a79afdc425 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Thu, 12 Oct 2023 19:43:35 +0800 Subject: [PATCH 024/101] bump version to 0.1.8 #60 --- agentverse/agents/simulation_agent/__init__.py | 0 agentverse/environments/simulation_env/__init__.py | 0 agentverse/environments/tasksolving_env/__init__.py | 0 agentverse/llms/utils/__init__.py | 1 + setup.py | 2 +- 5 files changed, 2 insertions(+), 1 deletion(-) create mode 100644 agentverse/agents/simulation_agent/__init__.py create mode 100644 agentverse/environments/simulation_env/__init__.py create mode 100644 agentverse/environments/tasksolving_env/__init__.py create mode 100644 agentverse/llms/utils/__init__.py diff --git a/agentverse/agents/simulation_agent/__init__.py b/agentverse/agents/simulation_agent/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/agentverse/environments/simulation_env/__init__.py b/agentverse/environments/simulation_env/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/agentverse/environments/tasksolving_env/__init__.py b/agentverse/environments/tasksolving_env/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/agentverse/llms/utils/__init__.py b/agentverse/llms/utils/__init__.py new file mode 100644 index 000000000..e122a4906 --- /dev/null +++ b/agentverse/llms/utils/__init__.py @@ -0,0 +1 @@ +from . jsonrepair import JsonRepair diff --git a/setup.py b/setup.py index bef006aea..1632a1fe5 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ setuptools.setup( name="agentverse", - version="0.1.5", + version="0.1.8", author="OpenBMB", author_email="chenweize1998@gmail.com", description="A versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs).", From 7aeed342e9a35cd326e09c10c9dc3fd669e84165 Mon Sep 17 00:00:00 2001 From: yitong <2969413251@qq.com> Date: Fri, 13 Oct 2023 19:34:10 +0800 Subject: [PATCH 025/101] fix: fix a bug about updating kwargs --- agentverse/agents/tasksolving_agent/critic.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/agentverse/agents/tasksolving_agent/critic.py b/agentverse/agents/tasksolving_agent/critic.py index f6aeae3ca..6cbe46148 100644 --- a/agentverse/agents/tasksolving_agent/critic.py +++ b/agentverse/agents/tasksolving_agent/critic.py @@ -38,9 +38,9 @@ def __init__(self, *args, **kwargs): tool_descriptions = "\n".join( [f"- {t['name']}: " + t["description"] for t in tools] ) - kwargs.update('tools', tools) - kwargs.update('tool_names', tool_names) - kwargs.update('tool_descriptions', tool_descriptions) + kwargs.update({"tools": tools}) + kwargs.update({"tool_names": tool_names}) + kwargs.update({"tool_descriptions": tool_descriptions}) except Exception as e: logger.error(e) logger.warn("Failed to load tool config file.") From af343008dc904a32c6a2245df49805b5076f062e Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sat, 14 Oct 2023 19:43:10 +0400 Subject: [PATCH 026/101] update --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 4e448d6cb..564b01009 100644 --- a/README.md +++ b/README.md @@ -33,6 +33,10 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. +**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. + + + ⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is slightly outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. --- From 0a1a225715dabaa61ec24798890797ce53334e79 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sat, 14 Oct 2023 20:12:38 +0400 Subject: [PATCH 027/101] update --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 564b01009..ec14a4991 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,9 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. +**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: simulation and task-solving. +- Task-solving: This framework assembles multiple agents as an automatic multi-agent system, such as software development systems, consulting systems, etc., to accomplish the corresponding tasks. +- Simulation: From 362dfce5b6977174b6056f672e121af5b147f8a3 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:13:09 +0400 Subject: [PATCH 028/101] update --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ec14a4991..2054d8649 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ **AgentVerse** offers a versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs). Designed to facilitate swift development and customization with minimal effort, our framework empowers researchers to concentrate on their research, rather than being bogged down by implementation details. -**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: simulation and task-solving. +**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **simulation** and **task-solving**. - Task-solving: This framework assembles multiple agents as an automatic multi-agent system, such as software development systems, consulting systems, etc., to accomplish the corresponding tasks. - Simulation: From 86f10c35195b3f8a46e04c48ebdfd029e80d10dd Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:42:14 +0400 Subject: [PATCH 029/101] update --- README.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 2054d8649..0678602e6 100644 --- a/README.md +++ b/README.md @@ -31,12 +31,15 @@ 【English | Chinese】

+ + +**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. -**AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **simulation** and **task-solving**. -- Task-solving: This framework assembles multiple agents as an automatic multi-agent system, such as software development systems, consulting systems, etc., to accomplish the corresponding tasks. -- Simulation: +- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc. +- Simulation: This framework allows users to set up custom environments to observe behaviors among, or interact with, multiple agents. Applications: game, social behavior research of LLM-based agents, etc. ⚠️⚠️⚠️ We're refactoring the code, and the goal is to provide a flexibility to construct simulation(without a predefined goal) and task-solving(with a specific goal) environments. Please note that this README is slightly outdated, we will update it soon. If you require a stable version that exclusively supports simulation environments, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. From 1b2a86bcf3f9713e0abd4f1cb5e43f58b8ffc85a Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:47:06 +0400 Subject: [PATCH 030/101] update --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0678602e6..df27003bb 100644 --- a/README.md +++ b/README.md @@ -39,10 +39,12 @@ - Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc. -- Simulation: This framework allows users to set up custom environments to observe behaviors among, or interact with, multiple agents. Applications: game, social behavior research of LLM-based agents, etc. - +- Simulation: This framework allows users to set up custom environments to observe behaviors among, or interact with, multiple agents.(⚠️⚠️⚠️ We're refactoring the code. If you require a stable version that exclusively supports simulation framework, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. +) Applications: game, social behavior research of LLM-based agents, etc. + --- From f1261cf83edae40996915312fa9740fac58d0307 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:50:30 +0400 Subject: [PATCH 031/101] update --- README.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index df27003bb..e1a6a8146 100644 --- a/README.md +++ b/README.md @@ -39,9 +39,15 @@ - Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc. +

+Screen Shot 2023-09-01 at 12 08 57 PM +

+ - Simulation: This framework allows users to set up custom environments to observe behaviors among, or interact with, multiple agents.(⚠️⚠️⚠️ We're refactoring the code. If you require a stable version that exclusively supports simulation framework, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. ) Applications: game, social behavior research of LLM-based agents, etc. +https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f155e95782e7 + @@ -60,9 +66,6 @@ - [2023/10/5] 💡 We release the code of our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848), and refactor our codebase to enable the creation of both simulation and task-solving environment! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! - [2023/8/22] 📝 We're excited to share our work-in-progress paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) related to this repository. -

-Screen Shot 2023-09-01 at 12 08 57 PM -

- [2023/6/5] 🎉 We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! - [2023/5/1] 🚀 [AgentVerse](https://github.com/OpenBMB/AgentVerse) is officially launched! @@ -92,12 +95,7 @@ Also, if you're passionate about advancing the frontiers of multi-agent environm ## 👾 Simple Demo Video We demonstrate the following cases that are expertly crafted by AgentVerse. - - - #### NLP Classroom In the NLP class, the professor and students engage in interactive communication. When students have a question, they raise their hands and patiently wait for the professor to call on them. Only after being called on by the professor, can students speak and ask their questions. From e477d7e4f16b1111d148226c8d700dbf657b1807 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:51:15 +0400 Subject: [PATCH 032/101] update --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e1a6a8146..cc887baf6 100644 --- a/README.md +++ b/README.md @@ -37,14 +37,16 @@ **AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. -- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc. +- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. +Applications: software development system, consulting system, etc.

Screen Shot 2023-09-01 at 12 08 57 PM

- Simulation: This framework allows users to set up custom environments to observe behaviors among, or interact with, multiple agents.(⚠️⚠️⚠️ We're refactoring the code. If you require a stable version that exclusively supports simulation framework, you can use [`release-0.1`](https://github.com/OpenBMB/AgentVerse/tree/release-0.1) branch. -) Applications: game, social behavior research of LLM-based agents, etc. +) +Applications: game, social behavior research of LLM-based agents, etc. https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f155e95782e7 From 0b1ed5e99324258a7106a4b56440292f0f41bcc4 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:52:22 +0400 Subject: [PATCH 033/101] update --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index cc887baf6..2d4c89145 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,10 @@

🤖 AgentVerse 🪐

+

From b529052f8cc156eaa7b40d24eaeb89f56a0b3610 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 00:59:52 +0400 Subject: [PATCH 034/101] update --- README.md | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 2d4c89145..4463cbc2d 100644 --- a/README.md +++ b/README.md @@ -58,24 +58,19 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 --- -## ✨ Features - -- 🥳 **Efficient Environment Building:** Our framework provides a collection of essential building blocks for effortlessly creating a multi-agent environment. With only a few lines in a configuration file, you can easily construct basic environments such as a chat room for LLMs. This process entails defining the environment's settings and prompts for LLMs, enabling researchers like you to concentrate on experimentation and analysis. - -- ⚙️ **Customizable Components**: AgentVerse simplifies the multi-agent environment by dividing it into five functional modules and defining their respective interfaces. For complex environments that cannot be constructed directly using the basic modules offered in AgentVerse, you can customize one or more of the interfaces within these five functional modules to efficiently create your own multi-agent environment according to your requirements. - -- 🛠 **Tools (Plugins) Utilization**: AgentVerse supports the multi-agent environments with tools. Currently, AgentVerse supports tools provided in [BMTools](https://github.com/OpenBMB/BMTools). ## 📰 What's New -- [2023/10/5] 💡 We release the code of our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848), and refactor our codebase to enable the creation of both simulation and task-solving environment! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! +- [2023/10/5] Re-factor our codebase to enable the deployment of both simulation and task-solving framework! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! -- [2023/8/22] 📝 We're excited to share our work-in-progress paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) related to this repository. +- [2023/8/22] We're excited to share our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) that illistrate the task-solving framework +in detail of AgentVerse. -- [2023/6/5] 🎉 We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! +- [2023/6/5] We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! - [2023/5/1] 🚀 [AgentVerse](https://github.com/OpenBMB/AgentVerse) is officially launched! ## 🌟 Join Us! AgentVerse is on a mission to revolutionize the multi-agent environment for large language models, and we're eagerly looking for passionate collaborators to join us on this exciting journey. + ### How Can You Contribute? - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. From 51f4c8bc5e8032826d261c72a0b3a05e00394e8c Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 01:06:41 +0400 Subject: [PATCH 035/101] update --- README.md | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 4463cbc2d..b1f908857 100644 --- a/README.md +++ b/README.md @@ -33,10 +33,6 @@ 【English | Chinese】

- - **AgentVerse** is designed to facilitate the deployment of mutiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. - Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. @@ -52,10 +48,6 @@ Applications: game, social behavior research of LLM-based agents, etc. https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f155e95782e7 - - --- @@ -80,7 +72,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg - **Feedback and Suggestions**: Use AgentVerse and provide us with feedback. Your insights can lead to potential improvements and ensure that our framework remains top-notch. -Also, if you're passionate about advancing the frontiers of multi-agent environments and are eager to dive deeper into research, we invite you to join our team at THUNLP. To explore this exciting opportunity and embark on a collaborative journey with us, please reach out to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com) and express your interest. We're keen to welcome motivated individuals like you to our lab! +Also, if you're passionate about advancing the frontiers of multi-agent applications and are eager to dive deeper into research, we invite you to join AgentVerse team. Please reach out [AgentVerse Team](agentverse2@gmail.com) and CC to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com). We're keen to welcome motivated individuals like you to our team! 👉Also, check our Discord: https://discord.gg/cnutfCtC. @@ -423,7 +415,11 @@ If you find this repo helpful, feel free to cite us. ## Contact -Weize Chen: chenweize1998@gmail.com +AgentVerse Team: agentverse2@gmail.com + +Project leaders: + +- Weize Chen: chenweize1998@gmail.com -[Yusheng Su](https://yushengsu-thu.github.io/): yushengsu.thu@gmail.com +- [Yusheng Su](https://yushengsu-thu.github.io/): yushengsu.thu@gmail.com From bc9216e543c32c3505c3340843b0afd0fa2ffbd4 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 01:12:41 +0400 Subject: [PATCH 036/101] update --- README.md | 41 ++++++++++++++++++++++++++++------------- 1 file changed, 28 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index b1f908857..f29fad997 100644 --- a/README.md +++ b/README.md @@ -60,21 +60,8 @@ in detail of AgentVerse. - [2023/6/5] We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! - [2023/5/1] 🚀 [AgentVerse](https://github.com/OpenBMB/AgentVerse) is officially launched! -## 🌟 Join Us! -AgentVerse is on a mission to revolutionize the multi-agent environment for large language models, and we're eagerly looking for passionate collaborators to join us on this exciting journey. - -### How Can You Contribute? -- **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. -- **Documentation and Tutorials**: If you have a knack for writing, help us improve our documentation, create tutorials, or write blog posts to make AgentVerse more accessible to the broader community. -- **Application Exploration**: If you're intrigued by multi-agent applications and are eager to experiment using AgentVerse, we'd be thrilled to support your journey and see what you create! - -- **Feedback and Suggestions**: Use AgentVerse and provide us with feedback. Your insights can lead to potential improvements and ensure that our framework remains top-notch. - -Also, if you're passionate about advancing the frontiers of multi-agent applications and are eager to dive deeper into research, we invite you to join AgentVerse team. Please reach out [AgentVerse Team](agentverse2@gmail.com) and CC to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com). We're keen to welcome motivated individuals like you to our team! - -👉Also, check our Discord: https://discord.gg/cnutfCtC. ## 🗓 Coming Soon - [x] Code release of our [paper](https://arxiv.org/abs/2308.10848) @@ -277,6 +264,7 @@ agentverse-tasksolving --task tasksolving/humaneval/gpt-3.5 --dataset_path data/ You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. + + + + + + +## 🌟 Join Us! +AgentVerse is on a mission to revolutionize the multi-agent environment for large language models, and we're eagerly looking for passionate collaborators to join us on this exciting journey. + +### How Can You Contribute? +- **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. + +- **Documentation and Tutorials**: If you have a knack for writing, help us improve our documentation, create tutorials, or write blog posts to make AgentVerse more accessible to the broader community. + +- **Application Exploration**: If you're intrigued by multi-agent applications and are eager to experiment using AgentVerse, we'd be thrilled to support your journey and see what you create! + +- **Feedback and Suggestions**: Use AgentVerse and provide us with feedback. Your insights can lead to potential improvements and ensure that our framework remains top-notch. + +Also, if you're passionate about advancing the frontiers of multi-agent applications and are eager to dive deeper into research, we invite you to join AgentVerse team. Please reach out [AgentVerse Team](agentverse2@gmail.com) and CC to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com). We're keen to welcome motivated individuals like you to our team! + + +### Social Media and Community + +- Twitter: https://twitter.com/Agentverse71134 + +- Discord: https://discord.gg/cnutfCtC. ## Star History From dd49c21c81157fdd454bfd0d6fdc8e68a56b2dbd Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 01:14:46 +0400 Subject: [PATCH 037/101] update --- README.md | 26 ++++++++++++++++---------- 1 file changed, 16 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index f29fad997..93baee406 100644 --- a/README.md +++ b/README.md @@ -70,6 +70,8 @@ in detail of AgentVerse. - [ ] Add support for local LLM + ## Contents @@ -221,13 +224,7 @@ python setup.py develop ``` - + ### Simulation CLI Example @@ -264,6 +261,8 @@ agentverse-tasksolving --task tasksolving/humaneval/gpt-3.5 --dataset_path data/ You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. + + - + + + +## Contents +- [📰 What's New](#-whats-new) +- [🗓 Coming Soon](#-coming-soon) +- [Contents](#contents) +- [🚀 Getting Started](#-getting-started) + - [Installation](#installation) + - [Simulation CLI Example](#simulation-cli-example) + - [Simulation Local Website Demo](#simulation-local-website-demo) + - [Task-Solving CLI Example](#task-solving-cli-example) +- [🔎 Examples](#-examples) +- [🌟 Join Us!](#-join-us) + - [How Can You Contribute?](#how-can-you-contribute) +- [Social Media and Community](#social-media-and-community) +- [Star History](#star-history) +- [Citation](#citation) +- [Contact](#contact) + + ## 🚀 Getting Started @@ -224,8 +245,6 @@ python setup.py develop ``` - - ### Simulation CLI Example You can create a multi-agent environments provided by us. Using the classroom scenario as an example. In this scenario, there are nine agents, one playing the role of a professor and the other eight as students. From d13c412a6eae45a59ce1ad824d68e4753ff342b9 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 15 Oct 2023 02:00:15 +0400 Subject: [PATCH 042/101] update --- README.md | 8 ++++ README_simulation_cases.md | 75 +++++++++++++++++++++++++++++++++++++ README_tasksolving_cases.md | 0 setup.py | 4 +- 4 files changed, 85 insertions(+), 2 deletions(-) create mode 100644 README_simulation_cases.md create mode 100644 README_tasksolving_cases.md diff --git a/README.md b/README.md index a72a6db18..a8f876637 100644 --- a/README.md +++ b/README.md @@ -280,6 +280,14 @@ agentverse-tasksolving --task tasksolving/humaneval/gpt-3.5 --dataset_path data/ You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. +## AgentVerse Showcases + +### Simulation Showcases +Refer to + +### Task-Solving Showcases +Refer to + -## Contents +# Contents - [📰 What's New](#-whats-new) - [🗓 Coming Soon](#-coming-soon) - [Contents](#contents) @@ -207,9 +207,9 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 -## 🚀 Getting Started +# 🚀 Getting Started -### Installation +## Installation ```bash pip install -U agentverse @@ -245,9 +245,9 @@ pip install -r requirements.txt python setup.py develop ``` -### Simulation +## Simulation -#### Framework Required Modules +### Framework Required Modules ``` - agentverse - agents @@ -256,7 +256,7 @@ python setup.py develop - simulation_env ``` -#### CLI Example +### CLI Example You can create a multi-agent environments provided by us. Using the classroom scenario as an example. In this scenario, there are nine agents, one playing the role of a professor and the other eight as students. @@ -266,7 +266,7 @@ python3 agentverse_command/main_simulation_cli.py --task simulation/nlp_classroo agentverse-simulation --task simulation/nlp_classroom_9players ``` -#### GUI Example (Local) +### GUI Example (Local) We also provide a local website demo for this environment. You can launch it with @@ -278,10 +278,10 @@ agentverse-simulation-gui --task simulation/nlp_classroom_9players After successfully launching the local server, you can visit [http://127.0.0.1:7860/](http://127.0.0.1:7860/) to view the classroom environment. -### Task-Solving +## Task-Solving -#### Framework Required Modules +### Framework Required Modules ``` - agentverse - agents @@ -290,7 +290,7 @@ After successfully launching the local server, you can visit [http://127.0.0.1:7 - tasksolving_env ``` -#### CLI Example +### CLI Example To run the experiments with the task-solving environment proposed in our [paper](https://arxiv.org/abs/2308.10848), you can use the following command: @@ -304,12 +304,12 @@ agentverse-tasksolving --task tasksolving/humaneval/gpt-3.5 --dataset_path data/ You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. -## AgentVerse Showcases +# AgentVerse Showcases -### Simulation Showcases +## Simulation Showcases Refer to [simulation showcases](README_simulation_cases.md) -### Task-Solving Showcases +## Task-Solving Showcases Refer to [tasksolving showcases](README_tasksolving_cases.md) @@ -447,14 +447,14 @@ Here's a brief overview of each example: --> -## 🌟 Join Us! +# 🌟 Join Us! AgentVerse is on a mission to revolutionize the multi-agent environment for large language models, and we're eagerly looking for passionate collaborators to join us on this exciting journey. -### Leaders +## Leaders Leader Leader -### Contributors +## Contributors Contributor Contributor Contributor @@ -469,7 +469,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg Contributor -### How Can You Contribute? +## How Can You Contribute? - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. - **Documentation and Tutorials**: If you have a knack for writing, help us improve our documentation, create tutorials, or write blog posts to make AgentVerse more accessible to the broader community. @@ -481,14 +481,14 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg Also, if you're passionate about advancing the frontiers of multi-agent applications, become core AgentVerse team members, or are eager to dive deeper into agent research. Please reach out [AgentVerse Team](agentverse2@gmail.com), and CC to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com). We're keen to welcome motivated individuals like you to our team! -### Social Media and Community +## Social Media and Community - Twitter: https://twitter.com/Agentverse71134 - Discord: https://discord.gg/cnutfCtC. -## Star History +# Star History [![Star History Chart](https://api.star-history.com/svg?repos=OpenBMB/AgentVerse&type=Date)](https://star-history.com/#OpenBMB/AgentVerse&Date) @@ -504,7 +504,7 @@ If you find this repo helpful, feel free to cite us. } ``` -## Contact +# Contact AgentVerse Team: agentverse2@gmail.com From 8a9f38ed6b74d7b186f2549049b8d4979d37e521 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 16 Oct 2023 23:12:36 +0400 Subject: [PATCH 055/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fecfbcef5..869d9838f 100644 --- a/README.md +++ b/README.md @@ -478,7 +478,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg - **Feedback and Suggestions**: Use AgentVerse and provide us with feedback. Your insights can lead to potential improvements and ensure that our framework remains top-notch. -Also, if you're passionate about advancing the frontiers of multi-agent applications, become core AgentVerse team members, or are eager to dive deeper into agent research. Please reach out [AgentVerse Team](agentverse2@gmail.com), and CC to [chenweize1998@gmail.com](chenweize1998@gmail.com) and [yushengsu.thu@gmail.com](yushengsu.thu@gmail.com). We're keen to welcome motivated individuals like you to our team! +Also, if you're passionate about advancing the frontiers of multi-agent applications, become core AgentVerse team members, or are eager to dive deeper into agent research. Please reach out [AgentVerse Team](mailto:agentverse2@gmail.com?subject=[GitHub]%20Source%20Han%20Sans), and CC to [Weize Chen](mailto:chenweize1998@gmail.com?subject=[GitHub]%20Source%20Han%20Sans) and [Yusheng Su](mailto:yushengsu.thu@gmail.com?subject=[GitHub]%20Source%20Han%20Sans). We're keen to welcome motivated individuals like you to our team! ## Social Media and Community From 31dc92d9a84e27af0ecd8edd3fbb723eaf809943 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 16 Oct 2023 23:14:21 +0400 Subject: [PATCH 056/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 869d9838f..74fe2fe0b 100644 --- a/README.md +++ b/README.md @@ -478,7 +478,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg - **Feedback and Suggestions**: Use AgentVerse and provide us with feedback. Your insights can lead to potential improvements and ensure that our framework remains top-notch. -Also, if you're passionate about advancing the frontiers of multi-agent applications, become core AgentVerse team members, or are eager to dive deeper into agent research. Please reach out [AgentVerse Team](mailto:agentverse2@gmail.com?subject=[GitHub]%20Source%20Han%20Sans), and CC to [Weize Chen](mailto:chenweize1998@gmail.com?subject=[GitHub]%20Source%20Han%20Sans) and [Yusheng Su](mailto:yushengsu.thu@gmail.com?subject=[GitHub]%20Source%20Han%20Sans). We're keen to welcome motivated individuals like you to our team! +Also, if you're passionate about advancing the frontiers of multi-agent applications, become core AgentVerse team members, or are eager to dive deeper into agent research. Please reach out [AgentVerse Team](mailto:agentverse2@gmail.com?subject=[GitHub]%AgentVerse%20Project), and CC to [Weize Chen](mailto:chenweize1998@gmail.com?subject=[GitHub]%AgentVerse%20Project) and [Yusheng Su](mailto:yushengsu.thu@gmail.com?subject=[GitHub]%AgentVerse%20Project). We're keen to welcome motivated individuals like you to our team! ## Social Media and Community From 649330412b588c50364a1a5776fda538948454c6 Mon Sep 17 00:00:00 2001 From: Ran Li <77495458+ASL-r@users.noreply.github.com> Date: Tue, 17 Oct 2023 07:38:23 -0700 Subject: [PATCH 057/101] doc: modify README.md (#67) [ci skip] --- README.md | 6 ++++++ README_zh.md | 5 +++++ 2 files changed, 11 insertions(+) diff --git a/README.md b/README.md index 74fe2fe0b..b3bb5bb76 100644 --- a/README.md +++ b/README.md @@ -22,6 +22,9 @@ Contributions: Welcome + + Hugging Face +

@@ -53,6 +56,8 @@ Applications: software development system, consulting system, etc. # 📰 What's New +- [2023/10/17] We're super excited to share our open-source AI community hugging face: [`AgentVerse`](https://huggingface.co/spaces/AgentVerse/agentVerse). You are able to try out the two simulation applications, NLP Classroom and Prisoner's Dilemma,with your code of the openai API key and the openai organization. Have fun! + - [2023/10/5] Re-factor our codebase to enable the deployment of both simulation and task-solving framework! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! - [2023/8/22] We're excited to share our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) that illistrate the task-solving framework @@ -487,6 +492,7 @@ Also, if you're passionate about advancing the frontiers of multi-agent applicat - Discord: https://discord.gg/cnutfCtC. +- Hugging Face: https://huggingface.co/spaces/AgentVerse/agentVerse. # Star History diff --git a/README_zh.md b/README_zh.md index 988dacaf5..bff9fbc8a 100644 --- a/README_zh.md +++ b/README_zh.md @@ -10,6 +10,9 @@ Documentation + + Hugging Face +

@@ -33,6 +36,8 @@ - 🛠 **工具(插件)利用**: AgentVerse支持多智能体环境的工具。目前，AgentVerse支持[BMTools](https://github.com/OpenBMB/BMTools)中提供的工具。 ## 📰 最新消息 +- [2023/10/17] 我们很高兴来分享我们AI开源社区 hugging face: [`AgentVerse`](https://huggingface.co/spaces/AgentVerse/agentVerse). 在你提供openai API 密钥 and the openai 组织码之后，你可以体验NLP教室和囚徒困境两个模拟应用程序。祝你玩得开心！ + - [2023/8/22] 📝 我们很高兴分享与此仓库相关的正在进行中的论文[AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848). Screen Shot 2023-09-01 at 12 08 57 PM From b001a327d8346570e892632e8972e332cf0d8c3c Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 18 Oct 2023 16:31:50 +0800 Subject: [PATCH 058/101] update requirements.txt [ci skip] --- requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index dc4985600..b6b24354b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,7 +6,7 @@ iso-639 openai==0.27.8 opencv-python==4.8.0.76 gradio -httpx[socks] +httpx[socks]==0.25.0 astunparse langchain==0.0.157 scikit-learn @@ -16,4 +16,4 @@ typing-inspect==0.8.0 colorlog rapidfuzz spacy -colorama==0.4.6 \ No newline at end of file +colorama==0.4.6 From 53f2ec0e41a748ea05776f6ebd7cecd18f3f3402 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 18 Oct 2023 16:58:09 +0800 Subject: [PATCH 059/101] fix: session expired bug in tool calling --- .../environments/tasksolving_env/rules/executor/tool_using.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py index 667de12f1..65bc8ff24 100644 --- a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py +++ b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py @@ -16,7 +16,6 @@ url = "http://127.0.0.1:8080" -# url = "http://8.217.97.110:8080" SUMMARIZE_PROMPT = """Here is the text gathered from a webpage, and a question you need to answer from the webpage. -- Webpage -- @@ -255,7 +254,7 @@ async def _summarize_webpage(webpage, question): for i in range(3): try: - async with ClientSession(cookies=cookies) as session: + async with ClientSession(cookies=cookies, trust_env=True) as session: if cookies is None: async with session.post( f"{url}/get_cookie", timeout=30 @@ -285,6 +284,7 @@ async def _summarize_webpage(webpage, question): ) as response: content = await response.text() if command == "WebEnv_browse_website": + openai.aiosession.set(session) content = await _summarize_webpage( content, arguments["question"] ) From 39faec3792214632c92881b51a718f2faf097d13 Mon Sep 17 00:00:00 2001 From: Yu Hsia <75243938+cheesewafer@users.noreply.github.com> Date: Thu, 19 Oct 2023 10:31:02 +0800 Subject: [PATCH 060/101] feat: support local llms (#68) * support local LLMs --------- Co-authored-by: Yu Xia Co-authored-by: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Co-authored-by: chenweize1998 --- agentverse/llms/openai.py | 8 +- .../commongen/llama-2-7b-chat-hf/config.yaml | 197 ++++++++++++++++++ dataloader/commongen.py | 1 + requirements.txt | 1 + scripts/run_local_model_server.sh | 11 + 5 files changed, 217 insertions(+), 1 deletion(-) create mode 100644 agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml create mode 100644 scripts/run_local_model_server.sh diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 3b7409cf2..08547c300 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -92,10 +92,12 @@ class OpenAIChatArgs(BaseModelArgs): # total_tokens=response["usage"]["total_tokens"], # ) - +# To support your own local LLMs, register it here and add it into LOCAL_LLMS. +LOCAL_LLMS = ['llama-2-7b-chat-hf'] @llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") +@llm_registry.register("llama-2-7b-chat-hf") class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) @@ -109,6 +111,8 @@ def __init__(self, max_retry: int = 3, **kwargs): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: logging.warning(f"Unused arguments: {kwargs}") + if args['model'] in LOCAL_LLMS: + openai.api_base = "http://localhost:5000/v1" super().__init__(args=args, max_retry=max_retry) # def _construct_messages(self, history: List[Message]): @@ -301,6 +305,7 @@ def get_spend(self) -> int: "gpt-4": 0.03, "gpt-4-0613": 0.03, "gpt-4-32k": 0.06, + "llama-2-7b-chat-hf": 0.0, } output_cost_map = { @@ -311,6 +316,7 @@ def get_spend(self) -> int: "gpt-4": 0.06, "gpt-4-0613": 0.06, "gpt-4-32k": 0.12, + "llama-2-7b-chat-hf": 0.0, } model = self.args.model diff --git a/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml b/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml new file mode 100644 index 000000000..8514b1004 --- /dev/null +++ b/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml @@ -0,0 +1,197 @@ +cnt_agents: &cnt_agents 2 +max_turn: &max_turn 3 +max_inner_turns: &max_inner_turns 3 + +prompts: + role_assigner_prepend_prompt: &role_assigner_prepend_prompt |- + + role_assigner_append_prompt: &role_assigner_append_prompt |- + # Role Description + You are the leader of a group of experts, now you need to recruit a small group of experts with diverse identity to generate coherent and grammatically correct sentences containing the following given words: + ${task_description} + + You can recruit ${cnt_critic_agents} expert in different fields. What experts will you recruit? + + # Response Format Guidance + You should respond with a list of expert description. For example: + 1. an electrical engineer specified in the filed of xxx. + 2. an economist who is good at xxx. + 3. a lawyer with a good knowledge of xxx. + ... + + Only respond with the description of each role. Do not include your reason. + + solver_prepend_prompt: &solver_prepend_prompt |- + You are ${role_description}. Generate a coherent and grammatically correct paragraph containing the following given words (or their variations): + WORDS: + ${task_description} + + solver_append_prompt: &solver_append_prompt |- + + critic_prepend_prompt: &critic_prepend_prompt |- + You are in a discussion group, aiming to generate coherent and grammatically correct sentences containing the following given words (or their variations): + WORDS: + ${task_description} + + Below is the chat history in your group. + + critic_append_prompt: &critic_append_prompt |- + You are ${role_description}. Based on your knowledge, can you check whether the latest provided paragraph contains all the given words or their variations? When responding, you should follow the following rules: + 1. If the above latest provided solution has covered all the given words or their variations, end your response with a special token "[Agree]". + 1. If not, double-check the above solutions, give your critics, and generate a better solution. + + manager_prompt: &manager_prompt |- + + executor_prepend_prompt: &executor_prepend_prompt |- + + executor_append_prompt: &executor_append_prompt |- + + evaluator_prepend_prompt: &evaluator_prepend_prompt |- + + evaluator_append_prompt: &evaluator_append_prompt |- + You are a reviewer who checks whether a paragraph contains all the given words (including their variations). When some words are missing, you should patiently point out, and output a score of 0. When the paragraph contains all the words, you should output a score of 1. + + WORDS: + ${task_description} + + SOLUTION: + ``` + ${solution} + ``` + + TEST RESULT: + ${result} + + RESPONSE FORMAT: + You must respond in the following format: + Score: (0 or 1. 0 if there are some missing words, 1 if there is no missing words) + Advice: (point out all the missing words) + + +name: pipeline + + +environment: + env_type: task-basic + max_turn: *max_turn + rule: + role_assigner: + type: role_description + cnt_agents: *cnt_agents + decision_maker: + type: vertical-solver-first + max_inner_turns: *max_inner_turns + executor: + type: coverage-test + evaluator: + type: basic + +agents: + - #role_assigner_agent: + agent_type: role_assigner + name: role assigner + max_retry: 1000 + prepend_prompt_template: *role_assigner_prepend_prompt + append_prompt_template: *role_assigner_append_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: "llama-2-7b-chat-hf" + temperature: 0 + max_tokens: 512 + output_parser: + type: role_assigner + + - #solver_agent: + agent_type: solver + name: Planner + max_retry: 1000 + max_history: 4 + prepend_prompt_template: *solver_prepend_prompt + append_prompt_template: *solver_append_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: "llama-2-7b-chat-hf" + temperature: 0 + max_tokens: 1024 + output_parser: + type: commongen + # max_tokens: 1024 + # stop: + # - "\ndef " + # - "\nclass " + # - "\nif " + # - "\n\n#" + + - #critic_agents: + agent_type: critic + name: Critic 1 + max_retry: 1000 + max_history: 4 + role_description: |- + Waiting to be assigned. + prepend_prompt_template: *critic_prepend_prompt + append_prompt_template: *critic_append_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: "llama-2-7b-chat-hf" + temperature: 0 + max_tokens: 1024 + output_parser: + type: mgsm-critic-agree + + - #executor_agent: + agent_type: executor + name: Executor + max_retry: 1000 + prepend_prompt_template: *executor_prepend_prompt + append_prompt_template: *executor_append_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: llama-2-7b-chat-hf + temperature: 0 + max_tokens: 1024 + output_parser: + type: commongen + + - #evaluator_agent: + agent_type: evaluator + name: Evaluator + max_retry: 1000 + role_description: |- + Evaluator + prepend_prompt_template: *evaluator_prepend_prompt + append_prompt_template: *evaluator_append_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: llama-2-7b-chat-hf + temperature: 0.3 + max_tokens: 1024 + output_parser: + type: humaneval-evaluator + dimensions: + - Score + + - #manager_agent: + agent_type: manager + name: Manager + max_retry: 1000 + prompt_template: *manager_prompt + memory: + memory_type: chat_history + llm: + llm_type: llama-2-7b-chat-hf + model: "llama-2-7b-chat-hf" + temperature: 0 + max_tokens: 1024 + output_parser: + type: humaneval-manager \ No newline at end of file diff --git a/dataloader/commongen.py b/dataloader/commongen.py index e7a5e75f9..6cb41385e 100644 --- a/dataloader/commongen.py +++ b/dataloader/commongen.py @@ -5,6 +5,7 @@ @dataloader_registry.register("tasksolving/commongen/gpt-4") @dataloader_registry.register("tasksolving/commongen/gpt-3.5") +@dataloader_registry.register("tasksolving/commongen/llama-2-7b-chat-hf") class CommongenLoader(DataLoader): def __init__(self, path: str): super().__init__(path) diff --git a/requirements.txt b/requirements.txt index b6b24354b..e93df8d9f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -17,3 +17,4 @@ colorlog rapidfuzz spacy colorama==0.4.6 +fschat[model_worker,webui] diff --git a/scripts/run_local_model_server.sh b/scripts/run_local_model_server.sh new file mode 100644 index 000000000..0d16fb901 --- /dev/null +++ b/scripts/run_local_model_server.sh @@ -0,0 +1,11 @@ +:< Date: Fri, 20 Oct 2023 10:30:55 +0800 Subject: [PATCH 061/101] Update README.md [ci skip] --- README.md | 40 +++++++++++++++++++++------------------- 1 file changed, 21 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index b3bb5bb76..a3f013a99 100644 --- a/README.md +++ b/README.md @@ -18,13 +18,17 @@ Code Style: Black - + Hugging Face + + Discord + +

@@ -71,9 +75,9 @@ in detail of AgentVerse. # 🗓 Coming Soon - [x] Code release of our [paper](https://arxiv.org/abs/2308.10848) +- [x] Add support for local LLM (LLaMA, Vicunna, etc.) - [ ] Add documentation - [ ] Support more sophisticated memory for conversation history -- [ ] Add support for local LLM - - Hugging Face + + HuggingFace Discord From d108100e4cc0973c45841f932330783a2ee98b9d Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Sun, 22 Oct 2023 20:35:16 +0800 Subject: [PATCH 065/101] Update README.md [ci skip] --- README.md | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index ca8351675..41082f842 100644 --- a/README.md +++ b/README.md @@ -217,10 +217,7 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 ## Installation -```bash -pip install -U agentverse -``` -Or you can install the package by manually cloning the latest repository +**Manually Install (Recommended!)** ```bash git clone https://github.com/OpenBMB/AgentVerse.git --depth 1 cd AgentVerse @@ -228,6 +225,14 @@ python setup.py develop ``` Some users have reported problems installing the `orjson` required by `gradio`. One simple workaround is to install it with Anaconda `conda install -c conda-forge orjson`. +**Install with pip** + +Or you can install through pip +```bash +pip install -U agentverse +``` + + You also need to export your OpenAI API key as follows： ```bash # Export your OpenAI API key From f4718a5f37876242be1d8cd67c1cda3a5f9e221c Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 22 Oct 2023 23:03:38 +0400 Subject: [PATCH 066/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 41082f842..c29461744 100644 --- a/README.md +++ b/README.md @@ -42,7 +42,7 @@ **AgentVerse** is designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. -- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. +- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([AgentVerse-Tasksolving](https://arxiv.org/pdf/2308.10848.pdf),[Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc.

From 193088ab27728e0a9270f575811cc4fd22c82aee Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Sun, 22 Oct 2023 23:10:59 +0400 Subject: [PATCH 067/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c29461744..dd2223b49 100644 --- a/README.md +++ b/README.md @@ -42,7 +42,7 @@ **AgentVerse** is designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. -- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([AgentVerse-Tasksolving](https://arxiv.org/pdf/2308.10848.pdf),[Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. +- Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([AgentVerse-Tasksolving](https://arxiv.org/pdf/2308.10848.pdf), [Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. Applications: software development system, consulting system, etc.

From dd4e651ece193a9ae0bb4be48b0a41857c262f15 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 23 Oct 2023 11:05:51 +0800 Subject: [PATCH 068/101] fix: typo in logger call and error path in gui [ci skip] --- .../agents/simulation_agent/conversation.py | 6 +- agentverse/gui.py | 200 +++++++++++------- 2 files changed, 131 insertions(+), 75 deletions(-) diff --git a/agentverse/agents/simulation_agent/conversation.py b/agentverse/agents/simulation_agent/conversation.py index 3c356cf2f..437d90ff2 100644 --- a/agentverse/agents/simulation_agent/conversation.py +++ b/agentverse/agents/simulation_agent/conversation.py @@ -9,8 +9,8 @@ from agentverse.message import Message -#from . import agent_registry -#from .base import BaseAgent +# from . import agent_registry +# from .base import BaseAgent from agentverse.agents import agent_registry from agentverse.agents.base import BaseAgent @@ -66,7 +66,7 @@ async def astep(self, env_description: str = "") -> Message: raise except Exception as e: logger.error(e) - logger.warning("Retrying...") + logger.warn("Retrying...") continue if parsed_response is None: diff --git a/agentverse/gui.py b/agentverse/gui.py index 8bdd8fe24..2bc4140a0 100644 --- a/agentverse/gui.py +++ b/agentverse/gui.py @@ -1,3 +1,4 @@ +import os import base64 import itertools import json @@ -10,6 +11,8 @@ from agentverse.simulation import Simulation from agentverse.message import Message +IMG_PATH = os.path.join(os.path.dirname(__file__), "..", "imgs") + def cover_img(background, img, place: Tuple[int, int]): """ @@ -30,7 +33,7 @@ class GUI: the UI of frontend """ - def __init__(self, task: str, tasks_dir: str,ui_kwargs: Dict[str, str]): + def __init__(self, task: str, tasks_dir: str, ui_kwargs: Dict[str, str]): """ init a UI. default number of students is 0 @@ -56,15 +59,15 @@ def __init__(self, task: str, tasks_dir: str,ui_kwargs: Dict[str, str]): def get_avatar(self, idx): if idx == -1: - img = cv2.imread("./imgs/db_diag/-1.png") + img = cv2.imread(f"{IMG_PATH}/db_diag/-1.png") elif self.task == "prisoner_dilemma": - img = cv2.imread(f"./imgs/prison/{idx}.png") + img = cv2.imread(f"{IMG_PATH}/prison/{idx}.png") elif self.task == "db_diag": - img = cv2.imread(f"./imgs/db_diag/{idx}.png") + img = cv2.imread(f"{IMG_PATH}/db_diag/{idx}.png") elif "sde" in self.task: - img = cv2.imread(f"./imgs/sde/{idx}.png") + img = cv2.imread(f"{IMG_PATH}/sde/{idx}.png") else: - img = cv2.imread(f"./imgs/{idx}.png") + img = cv2.imread(f"{IMG_PATH}/{idx}.png") base64_str = cv2.imencode(".png", img)[1].tostring() return "data:image/png;base64," + base64.b64encode(base64_str).decode("utf-8") @@ -94,11 +97,15 @@ def start_autoplay(self): yield ( *outputs, - gr.Button.update(interactive=not self.autoplay and self.turns_remain > 0), + gr.Button.update( + interactive=not self.autoplay and self.turns_remain > 0 + ), gr.Button.update(interactive=self.autoplay and self.turns_remain > 0), - gr.Button.update(interactive=not self.autoplay and self.turns_remain > 0), + gr.Button.update( + interactive=not self.autoplay and self.turns_remain > 0 + ), *[gr.Button.update(visible=statu) for statu in self.solution_status], - gr.Box.update(visible=any(self.solution_status)) + gr.Box.update(visible=any(self.solution_status)), ) def delay_gen_output(self): @@ -108,7 +115,7 @@ def delay_gen_output(self): gr.Button.update(interactive=False), gr.Button.update(interactive=False), *[gr.Button.update(visible=statu) for statu in self.solution_status], - gr.Box.update(visible=any(self.solution_status)) + gr.Box.update(visible=any(self.solution_status)), ) outputs = self.gen_output() @@ -120,7 +127,7 @@ def delay_gen_output(self): gr.Button.update(interactive=self.turns_remain > 0), gr.Button.update(interactive=self.turns_remain > 0), *[gr.Button.update(visible=statu) for statu in self.solution_status], - gr.Box.update(visible=any(self.solution_status)) + gr.Box.update(visible=any(self.solution_status)), ) def delay_reset(self): @@ -133,7 +140,7 @@ def delay_reset(self): gr.Button.update(interactive=False), gr.Button.update(interactive=True), *[gr.Button.update(visible=statu) for statu in self.solution_status], - gr.Box.update(visible=any(self.solution_status)) + gr.Box.update(visible=any(self.solution_status)), ) def reset(self, stu_num=0): @@ -158,21 +165,21 @@ def reset(self, stu_num=0): self.turns_remain = self.backend.environment.max_turns if self.task == "prisoner_dilemma": - background = cv2.imread("./imgs/prison/case_1.png") + background = cv2.imread(f"{IMG_PATH}/prison/case_1.png") elif self.task == "db_diag": - background = cv2.imread("./imgs/db_diag/background.png") + background = cv2.imread(f"{IMG_PATH}/db_diag/background.png") elif "sde" in self.task: - background = cv2.imread("./imgs/sde/background.png") + background = cv2.imread(f"{IMG_PATH}/sde/background.png") else: - background = cv2.imread("./imgs/background.png") + background = cv2.imread(f"{IMG_PATH}/background.png") back_h, back_w, _ = background.shape stu_cnt = 0 for h_begin, w_begin in itertools.product( - range(800, back_h, 300), range(135, back_w - 200, 200) + range(800, back_h, 300), range(135, back_w - 200, 200) ): stu_cnt += 1 img = cv2.imread( - f"./imgs/{(stu_cnt - 1) % 11 + 1 if stu_cnt <= self.stu_num else 'empty'}.png", + f"{IMG_PATH}/{(stu_cnt - 1) % 11 + 1 if stu_cnt <= self.stu_num else 'empty'}.png", cv2.IMREAD_UNCHANGED, ) cover_img( @@ -195,17 +202,17 @@ def gen_img(self, data: List[Dict]): if len(data) != self.stu_num + 1: raise gr.Error("data length is not equal to the total number of students.") if self.task == "prisoner_dilemma": - img = cv2.imread("./imgs/speaking.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED) if ( - len(self.messages) < 2 - or self.messages[-1][0] == 1 - or self.messages[-2][0] == 2 + len(self.messages) < 2 + or self.messages[-1][0] == 1 + or self.messages[-2][0] == 2 ): - background = cv2.imread("./imgs/prison/case_1.png") + background = cv2.imread(f"{IMG_PATH}/prison/case_1.png") if data[0]["message"] != "": cover_img(background, img, (400, 480)) else: - background = cv2.imread("./imgs/prison/case_2.png") + background = cv2.imread(f"{IMG_PATH}/prison/case_2.png") if data[0]["message"] != "": cover_img(background, img, (400, 880)) if data[1]["message"] != "": @@ -213,8 +220,8 @@ def gen_img(self, data: List[Dict]): if data[2]["message"] != "": cover_img(background, img, (550, 880)) elif self.task == "db_diag": - background = cv2.imread("./imgs/db_diag/background.png") - img = cv2.imread("./imgs/db_diag/speaking.png", cv2.IMREAD_UNCHANGED) + background = cv2.imread(f"{IMG_PATH}/db_diag/background.png") + img = cv2.imread(f"{IMG_PATH}/db_diag/speaking.png", cv2.IMREAD_UNCHANGED) if data[0]["message"] != "": cover_img(background, img, (750, 80)) if data[1]["message"] != "": @@ -222,8 +229,8 @@ def gen_img(self, data: List[Dict]): if data[2]["message"] != "": cover_img(background, img, (522, 11)) elif "sde" in self.task: - background = cv2.imread("./imgs/sde/background.png") - img = cv2.imread("./imgs/sde/speaking.png", cv2.IMREAD_UNCHANGED) + background = cv2.imread(f"{IMG_PATH}/sde/background.png") + img = cv2.imread(f"{IMG_PATH}/sde/speaking.png", cv2.IMREAD_UNCHANGED) if data[0]["message"] != "": cover_img(background, img, (692, 330)) if data[1]["message"] != "": @@ -231,19 +238,19 @@ def gen_img(self, data: List[Dict]): if data[2]["message"] != "": cover_img(background, img, (692, 990)) else: - background = cv2.imread("./imgs/background.png") + background = cv2.imread(f"{IMG_PATH}/background.png") back_h, back_w, _ = background.shape stu_cnt = 0 if data[stu_cnt]["message"] not in ["", "[RaiseHand]"]: - img = cv2.imread("./imgs/speaking.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED) cover_img(background, img, (370, 1250)) for h_begin, w_begin in itertools.product( - range(800, back_h, 300), range(135, back_w - 200, 200) + range(800, back_h, 300), range(135, back_w - 200, 200) ): stu_cnt += 1 if stu_cnt <= self.stu_num: img = cv2.imread( - f"./imgs/{(stu_cnt - 1) % 11 + 1}.png", cv2.IMREAD_UNCHANGED + f"{IMG_PATH}/{(stu_cnt - 1) % 11 + 1}.png", cv2.IMREAD_UNCHANGED ) cover_img( background, @@ -252,14 +259,14 @@ def gen_img(self, data: List[Dict]): ) if "[RaiseHand]" in data[stu_cnt]["message"]: # elif data[stu_cnt]["message"] == "[RaiseHand]": - img = cv2.imread("./imgs/hand.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread(f"{IMG_PATH}/hand.png", cv2.IMREAD_UNCHANGED) cover_img(background, img, (h_begin - 90, w_begin + 10)) elif data[stu_cnt]["message"] not in ["", "[RaiseHand]"]: - img = cv2.imread("./imgs/speaking.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED) cover_img(background, img, (h_begin - 90, w_begin + 10)) else: - img = cv2.imread("./imgs/empty.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread(f"{IMG_PATH}/empty.png", cv2.IMREAD_UNCHANGED) cover_img(background, img, (h_begin, w_begin)) return cv2.cvtColor(background, cv2.COLOR_BGR2RGB) @@ -269,19 +276,25 @@ def return_format(self, messages: List[Message]): for message in messages: if self.task == "db_diag": content_json: dict = message.content - content_json["diagnose"] = f"[{message.sender}]: {content_json['diagnose']}" - _format[self.agent_id[message.sender]]["message"] = json.dumps(content_json) + content_json[ + "diagnose" + ] = f"[{message.sender}]: {content_json['diagnose']}" + _format[self.agent_id[message.sender]]["message"] = json.dumps( + content_json + ) elif "sde" in self.task: if message.sender == "code_tester": pre_message, message_ = message.content.split("\n") - message_ = "{}\n{}".format(pre_message, json.loads(message_)["feedback"]) - _format[self.agent_id[message.sender]]["message"] = "[{}]: {}".format( - message.sender, message_ + message_ = "{}\n{}".format( + pre_message, json.loads(message_)["feedback"] ) + _format[self.agent_id[message.sender]][ + "message" + ] = "[{}]: {}".format(message.sender, message_) else: - _format[self.agent_id[message.sender]]["message"] = "[{}]: {}".format( - message.sender, message.content - ) + _format[self.agent_id[message.sender]][ + "message" + ] = "[{}]: {}".format(message.sender, message.content) else: _format[self.agent_id[message.sender]]["message"] = "[{}]: {}".format( @@ -338,23 +351,44 @@ def gen_message(self): for solu in solution: if "query" in solu or "queries" in solu: self.solution_status[0] = True - solu = solu.replace("query", 'query') - solu = solu.replace("queries", 'queries') + solu = solu.replace( + "query", 'query' + ) + solu = solu.replace( + "queries", 'queries' + ) if "join" in solu: self.solution_status[1] = True - solu = solu.replace("join", 'join') + solu = solu.replace( + "join", 'join' + ) if "index" in solu: self.solution_status[2] = True - solu = solu.replace("index", 'index') + solu = solu.replace( + "index", 'index' + ) if "system configuration" in solu: self.solution_status[3] = True - solu = solu.replace("system configuration", - 'system configuration') - if "monitor" in solu or "Monitor" in solu or "Investigate" in solu: + solu = solu.replace( + "system configuration", + 'system configuration', + ) + if ( + "monitor" in solu + or "Monitor" in solu + or "Investigate" in solu + ): self.solution_status[4] = True - solu = solu.replace("monitor", 'monitor') - solu = solu.replace("Monitor", 'Monitor') - solu = solu.replace("Investigate", 'Investigate') + solu = solu.replace( + "monitor", 'monitor' + ) + solu = solu.replace( + "Monitor", 'Monitor' + ) + solu = solu.replace( + "Investigate", + 'Investigate', + ) msg = f"{msg}
{solu}" if msg_json["knowledge"] != "": msg = f'{msg}

{msg_json["knowledge"]}' @@ -362,14 +396,18 @@ def gen_message(self): msg = msg.replace("<", "<") msg = msg.replace(">", ">") message = ( - f'
' - f'' - f'
' - f"{msg}" - f"
" + message + f'
' + f'' + f'
' + f"{msg}" + f"
" + message ) - message = '
' + message + "
" + message = ( + '
' + + message + + "
" + ) return message def submit(self, message: str): @@ -391,7 +429,9 @@ def launch(self, single_agent=False, discussion_mode=False): def respond(message, chat_history): chat_history.append((message, None)) yield "", chat_history - for response in self.backend.iter_run(single_agent=single_agent, discussion_mode=discussion_mode): + for response in self.backend.iter_run( + single_agent=single_agent, discussion_mode=discussion_mode + ): print(response) chat_history.append((None, response)) yield "", chat_history @@ -409,16 +449,28 @@ def respond(message, chat_history): stop_autoplay_btn = gr.Button( "Stop Autoplay", interactive=False ) - start_autoplay_btn = gr.Button("Start Autoplay", interactive=False) + start_autoplay_btn = gr.Button( + "Start Autoplay", interactive=False + ) with gr.Box(visible=False) as solutions: with gr.Column(): gr.HTML("Optimization Solutions:") with gr.Row(): - rewrite_slow_query_btn = gr.Button("Rewrite Slow Query", visible=False) - add_query_hints_btn = gr.Button("Add Query Hints", visible=False) - update_indexes_btn = gr.Button("Update Indexes", visible=False) - tune_parameters_btn = gr.Button("Tune Parameters", visible=False) - gather_more_info_btn = gr.Button("Gather More Info", visible=False) + rewrite_slow_query_btn = gr.Button( + "Rewrite Slow Query", visible=False + ) + add_query_hints_btn = gr.Button( + "Add Query Hints", visible=False + ) + update_indexes_btn = gr.Button( + "Update Indexes", visible=False + ) + tune_parameters_btn = gr.Button( + "Tune Parameters", visible=False + ) + gather_more_info_btn = gr.Button( + "Gather More Info", visible=False + ) # text_output = gr.Textbox() text_output = gr.HTML(self.reset()[1]) @@ -430,8 +482,12 @@ def respond(message, chat_history): user_msg = gr.Textbox() submit_btn = gr.Button("Submit", variant="primary") - submit_btn.click(fn=self.submit, inputs=user_msg, outputs=[image_output, text_output], - show_progress=False) + submit_btn.click( + fn=self.submit, + inputs=user_msg, + outputs=[image_output, text_output], + show_progress=False, + ) else: pass @@ -450,7 +506,7 @@ def respond(message, chat_history): update_indexes_btn, tune_parameters_btn, gather_more_info_btn, - solutions + solutions, ], show_progress=False, ) @@ -473,7 +529,7 @@ def respond(message, chat_history): update_indexes_btn, tune_parameters_btn, gather_more_info_btn, - solutions + solutions, ], show_progress=False, ) @@ -498,7 +554,7 @@ def respond(message, chat_history): update_indexes_btn, tune_parameters_btn, gather_more_info_btn, - solutions + solutions, ], show_progress=False, ) From 118c5fe791ace06525ccdf201830fc600f35f4da Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 23 Oct 2023 13:05:58 +0000 Subject: [PATCH 069/101] add PR template --- PULL_REQUEST_TEMPLATE.md | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 PULL_REQUEST_TEMPLATE.md diff --git a/PULL_REQUEST_TEMPLATE.md b/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 000000000..3e5721c43 --- /dev/null +++ b/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,32 @@ + + + + +### 🤔 What is the nature of this change? + +- [ ] New feature +- [ ] Fix bug / bug +- [ ] Style optimization +- [ ] Code style optimization +- [ ] Performance optimization +- [ ] Build optimization +- [ ] Website, documentation, demo improvements +- [ ] Refactor code or style +- [ ] Test related +- [ ] Solved proposed issues +- [ ] Other + +### 🔗 Related Issue + +(Describe the source of related requirements, such as the related issue discussion link. Example: close #123, close #456.) + +### 💡 Background or solution + +(The specific problem solved.) + +### 📝 Changelog + +(Describe changes from the user side, and list all potential break changes or other risks.) + From fb023365fb4e7c3b778649c4bebc67348fbd1404 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 23 Oct 2023 17:19:14 +0400 Subject: [PATCH 070/101] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index dd2223b49..6dbfc1fbe 100644 --- a/README.md +++ b/README.md @@ -482,6 +482,8 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg ## How Can You Contribute? +- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue. Beisdes, you can also autonomously ask us to assign issue to you and send the PR after you solve it (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)). + - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. - **Documentation and Tutorials**: If you have a knack for writing, help us improve our documentation, create tutorials, or write blog posts to make AgentVerse more accessible to the broader community. From 78387ee37bb72eb16f3ba18ca11f6712a4ce8c8b Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 23 Oct 2023 17:28:47 +0400 Subject: [PATCH 071/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6dbfc1fbe..fc2b1da65 100644 --- a/README.md +++ b/README.md @@ -482,7 +482,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg ## How Can You Contribute? -- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue. Beisdes, you can also autonomously ask us to assign issue to you and send the PR after you solve it (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)). +- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue. Beisdes, you can also autonomously ask us to assign issue to you and send the PR (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)) after you solve it. - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. From 5fab7fc7619ebb25a851813bb3e593f846305feb Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 23 Oct 2023 21:47:51 +0800 Subject: [PATCH 072/101] fix: import error in alice home task #76 --- agentverse/agents/__init__.py | 1 + agentverse/environments/__init__.py | 1 + agentverse/environments/simulation_env/reflection.py | 9 +++++---- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/agentverse/agents/__init__.py b/agentverse/agents/__init__.py index 3c74687dc..4a08e6799 100644 --- a/agentverse/agents/__init__.py +++ b/agentverse/agents/__init__.py @@ -7,6 +7,7 @@ from .base import BaseAgent from agentverse.agents.simulation_agent.conversation import ConversationAgent from agentverse.agents.simulation_agent.tool import ToolAgent +from agentverse.agents.simulation_agent.reflection import ReflectionAgent from agentverse.agents.simulation_agent.prisoner_dilemma import ( PoliceAgent, PrisonerAgent, diff --git a/agentverse/environments/__init__.py b/agentverse/environments/__init__.py index 099ceb1bd..d783a6686 100644 --- a/agentverse/environments/__init__.py +++ b/agentverse/environments/__init__.py @@ -9,6 +9,7 @@ # from .basic import PipelineEnvironment from .simulation_env.basic import BasicEnvironment +from .simulation_env.reflection import ReflectionEnvironment from .simulation_env.pokemon import PokemonEnvironment from .simulation_env.prisoner_dilemma import PrisonerDilemmaEnvironment from .simulation_env.sde_team import SdeTeamEnvironment diff --git a/agentverse/environments/simulation_env/reflection.py b/agentverse/environments/simulation_env/reflection.py index c7c316398..faf19d79c 100644 --- a/agentverse/environments/simulation_env/reflection.py +++ b/agentverse/environments/simulation_env/reflection.py @@ -1,5 +1,4 @@ import asyncio -import logging from typing import Any, Dict, List from datetime import datetime as dt @@ -7,13 +6,15 @@ from pydantic import Field +from agentverse.logging import logger +from agentverse.environments import env_registry as EnvironmentRegistry from agentverse.agents.simulation_agent.conversation import BaseAgent # from agentverse.environments.simulation_env.rules.base import Rule from agentverse.environments.simulation_env.rules.base import SimulationRule as Rule from agentverse.message import Message -from . import env_registry as EnvironmentRegistry +# from . import env_registry as EnvironmentRegistry from ..base import BaseEnvironment from pydantic import validator @@ -70,7 +71,7 @@ def __init__(self, rule, **kwargs): async def step(self) -> List[Message]: """Run one step of the environment""" - logging.log(logging.INFO, f"Tick tock. Current time: {self.current_time}") + logger.info(f"Tick tock. Current time: {self.current_time}") # Get the next agent index agent_ids = self.rule.get_next_agent_idx(self) @@ -107,7 +108,7 @@ async def step(self) -> List[Message]: def print_messages(self, messages: List[Message]) -> None: for message in messages: if message is not None: - logging.info(f"{message.sender}: {message.content}") + logger.info(f"{message.sender}: {message.content}") def reset(self) -> None: """Reset the environment""" From 0c1e7f29b953b5e8578704a89d631a65f289de39 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Wed, 25 Oct 2023 12:05:53 +0400 Subject: [PATCH 073/101] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fc2b1da65..5ee8b3adc 100644 --- a/README.md +++ b/README.md @@ -482,7 +482,7 @@ AgentVerse is on a mission to revolutionize the multi-agent environment for larg ## How Can You Contribute? -- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue. Beisdes, you can also autonomously ask us to assign issue to you and send the PR (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)) after you solve it. +- **Issue and Pull-Request**: If you encounter any problems when use AgentVerse, you can propose the issue in English. Beisdes, you can also autonomously ask us to assign issue to you and send the PR (Please follow the [PULL_REQUEST_TEMPLATE](https://github.com/OpenBMB/AgentVerse/blob/main/PULL_REQUEST_TEMPLATE.md)) after you solve it. - **Code Development**: If you're an engineer, help us refine, optimize, and expand the current framework. We're always looking for talented developers to enhance our existing features and develop new modules. From 14a8f34b61d3666ac0c19aa7d4ecb61546e87f7a Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 25 Oct 2023 21:05:56 +0800 Subject: [PATCH 074/101] fix: bug in simulation gui. [ci skip] --- agentverse/gui.py | 26 ++++++++++++++------------ 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/agentverse/gui.py b/agentverse/gui.py index 2bc4140a0..97cfac9c7 100644 --- a/agentverse/gui.py +++ b/agentverse/gui.py @@ -41,7 +41,7 @@ def __init__(self, task: str, tasks_dir: str, ui_kwargs: Dict[str, str]): self.messages = [] self.task = task self.ui_kwargs = ui_kwargs - if task == "pipeline_brainstorming": + if task == "tasksolving/brainstorming": self.backend = TaskSolving.from_task(task, tasks_dir) else: self.backend = Simulation.from_task(task, tasks_dir) @@ -60,9 +60,9 @@ def __init__(self, task: str, tasks_dir: str, ui_kwargs: Dict[str, str]): def get_avatar(self, idx): if idx == -1: img = cv2.imread(f"{IMG_PATH}/db_diag/-1.png") - elif self.task == "prisoner_dilemma": + elif self.task == "simulation/prisoner_dilemma": img = cv2.imread(f"{IMG_PATH}/prison/{idx}.png") - elif self.task == "db_diag": + elif self.task == "simulation/db_diag": img = cv2.imread(f"{IMG_PATH}/db_diag/{idx}.png") elif "sde" in self.task: img = cv2.imread(f"{IMG_PATH}/sde/{idx}.png") @@ -164,9 +164,9 @@ def reset(self, stu_num=0): self.backend.reset() self.turns_remain = self.backend.environment.max_turns - if self.task == "prisoner_dilemma": + if self.task == "simulation/prisoner_dilemma": background = cv2.imread(f"{IMG_PATH}/prison/case_1.png") - elif self.task == "db_diag": + elif self.task == "simulation/db_diag": background = cv2.imread(f"{IMG_PATH}/db_diag/background.png") elif "sde" in self.task: background = cv2.imread(f"{IMG_PATH}/sde/background.png") @@ -201,7 +201,7 @@ def gen_img(self, data: List[Dict]): # if len(data) != self.stu_num: if len(data) != self.stu_num + 1: raise gr.Error("data length is not equal to the total number of students.") - if self.task == "prisoner_dilemma": + if self.task == "simulation/prisoner_dilemma": img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED) if ( len(self.messages) < 2 @@ -219,7 +219,7 @@ def gen_img(self, data: List[Dict]): cover_img(background, img, (550, 480)) if data[2]["message"] != "": cover_img(background, img, (550, 880)) - elif self.task == "db_diag": + elif self.task == "simulation/db_diag": background = cv2.imread(f"{IMG_PATH}/db_diag/background.png") img = cv2.imread(f"{IMG_PATH}/db_diag/speaking.png", cv2.IMREAD_UNCHANGED) if data[0]["message"] != "": @@ -262,7 +262,9 @@ def gen_img(self, data: List[Dict]): img = cv2.imread(f"{IMG_PATH}/hand.png", cv2.IMREAD_UNCHANGED) cover_img(background, img, (h_begin - 90, w_begin + 10)) elif data[stu_cnt]["message"] not in ["", "[RaiseHand]"]: - img = cv2.imread(f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED) + img = cv2.imread( + f"{IMG_PATH}/speaking.png", cv2.IMREAD_UNCHANGED + ) cover_img(background, img, (h_begin - 90, w_begin + 10)) else: @@ -274,7 +276,7 @@ def return_format(self, messages: List[Message]): _format = [{"message": "", "sender": idx} for idx in range(len(self.agent_id))] for message in messages: - if self.task == "db_diag": + if self.task == "simulation/db_diag": content_json: dict = message.content content_json[ "diagnose" @@ -342,7 +344,7 @@ def gen_message(self): avatar = self.get_avatar(-1) else: avatar = self.get_avatar((sender - 1) % 11 + 1) - if self.task == "db_diag": + if self.task == "simulation/db_diag": msg_json = json.loads(msg) self.solution_status = [False] * self.tot_solutions msg = msg_json["diagnose"] @@ -421,7 +423,7 @@ def submit(self, message: str): return self.gen_img([{"message": ""}] * len(self.agent_id)), self.gen_message() def launch(self, single_agent=False, discussion_mode=False): - if self.task == "pipeline_brainstorming": + if self.task == "tasksolving/brainstorming": with gr.Blocks() as demo: chatbot = gr.Chatbot(height=800, show_label=False) msg = gr.Textbox(label="Input") @@ -478,7 +480,7 @@ def respond(message, chat_history): # stu_num = gr.Number(label="Student Number", precision=0) # stu_num = self.stu_num - if self.task == "db_diag": + if self.task == "simulation/db_diag": user_msg = gr.Textbox() submit_btn = gr.Button("Submit", variant="primary") From fab0ab8821d7a36f886a52ae7e257bd566826924 Mon Sep 17 00:00:00 2001 From: Kunlun Zhu Date: Thu, 26 Oct 2023 11:12:15 +0800 Subject: [PATCH 075/101] Update agentverse.py --- agentverse/agentverse.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agentverse/agentverse.py b/agentverse/agentverse.py index 8b1505075..62c815596 100644 --- a/agentverse/agentverse.py +++ b/agentverse/agentverse.py @@ -3,7 +3,7 @@ from typing import List # from agentverse.agents import Agent -from agentverse.agents.conversation_agent import BaseAgent +from agentverse.agents.base import BaseAgent from agentverse.environments import BaseEnvironment from agentverse.initialization import load_agent, load_environment, prepare_task_config From c9c0dbeea3767f6ae938294a859c6367970a1641 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Fri, 27 Oct 2023 22:17:59 +0800 Subject: [PATCH 076/101] bump: 0.1.8.1 --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 097c5765e..49034aae3 100644 --- a/setup.py +++ b/setup.py @@ -10,7 +10,7 @@ setuptools.setup( name="agentverse", - version="0.1.8", + version="0.1.8.1", author="AgentVerse Team", author_email="agentverse2@gmail.com", description="A versatile framework that streamlines the process of creating custom multi-agent environments for large language models (LLMs).", From 64db306f5b6beea9014b00f15e24739a166162f3 Mon Sep 17 00:00:00 2001 From: mlmz <54172054+minleminzui@users.noreply.github.com> Date: Fri, 27 Oct 2023 22:21:15 +0800 Subject: [PATCH 077/101] feat: add tool support (#86) * fix: modify the processing logic of tool_using Modify the currently available toolset. Modify the processing logicc of WebEnv_search_and_browse and WebEnv_search_and_browse. * feat: a compression algorithm is implemented to avoid too long chat history Reference: https://github.com/Significant-Gravitas/AutoGPT/blob/b4ee485906c1d8da71ce9b3093996383322980fe/autogpts/autogpt/autogpt/agents/planning_agent.py#L73 * fix: make to_message asynchronous to accelerate compressing chat history of multiple agents * ci: fix ci errors caused by commits before * add local model token counter * resolve circular import bug * slightly refactor the code for token counter * fix bugs in tool using * update tool json --------- Co-authored-by: chenweize1998 --- agentverse/agents/base.py | 18 +- agentverse/agents/tasksolving_agent/critic.py | 13 +- .../agents/tasksolving_agent/evaluator.py | 33 ++- .../agents/tasksolving_agent/executor.py | 59 +--- .../agents/tasksolving_agent/role_assigner.py | 27 +- agentverse/agents/tasksolving_agent/solver.py | 28 +- .../environments/tasksolving_env/basic.py | 4 +- .../tasksolving_env/rules/base.py | 8 +- .../rules/decision_maker/brainstorming.py | 2 +- .../rules/decision_maker/central.py | 2 +- .../rules/decision_maker/concurrent.py | 2 +- .../rules/decision_maker/dynamic.py | 4 +- .../rules/decision_maker/horizontal.py | 2 +- .../rules/decision_maker/horizontal_tool.py | 4 +- .../rules/decision_maker/vertical.py | 2 +- .../decision_maker/vertical_solver_first.py | 4 +- .../tasksolving_env/rules/evaluator/base.py | 8 +- .../tasksolving_env/rules/evaluator/basic.py | 8 +- .../rules/executor/code_test.py | 30 +- .../rules/executor/tool_using.py | 88 +++++- .../rules/role_assigner/base.py | 4 +- .../rules/role_assigner/role_description.py | 8 +- agentverse/llms/__init__.py | 1 + agentverse/llms/openai.py | 19 +- agentverse/llms/utils/__init__.py | 3 +- agentverse/llms/utils/token_counter.py | 59 ++++ agentverse/memory/chat_history.py | 171 +++++++++++- .../tool_using/24point/config.yaml | 6 + .../tool_using/tools_simplified.json | 263 ++++++++++++------ agentverse_command/main_tasksolving_cli.py | 3 +- requirements.txt | 1 + 31 files changed, 642 insertions(+), 242 deletions(-) create mode 100644 agentverse/llms/utils/token_counter.py diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py index 4f118e08c..1cc2cbb49 100644 --- a/agentverse/agents/base.py +++ b/agentverse/agents/base.py @@ -4,8 +4,9 @@ from string import Template from pydantic import BaseModel, Field - from agentverse.llms import BaseLLM + +from agentverse.llms.utils import count_string_tokens from agentverse.memory import BaseMemory, ChatHistoryMemory from agentverse.message import Message from agentverse.output_parser import OutputParser @@ -62,7 +63,20 @@ def get_all_prompts(self, **kwargs): **kwargs ) append_prompt = Template(self.append_prompt_template).safe_substitute(**kwargs) - return prepend_prompt, append_prompt + + # TODO: self.llm.args.model is not generalizable + num_prepend_prompt_token = count_string_tokens( + prepend_prompt, self.llm.args.model + ) + num_append_prompt_token = count_string_tokens( + append_prompt, self.llm.args.model + ) + + return ( + prepend_prompt, + append_prompt, + num_prepend_prompt_token + num_append_prompt_token, + ) def get_receiver(self) -> Set[str]: return self.receiver diff --git a/agentverse/agents/tasksolving_agent/critic.py b/agentverse/agents/tasksolving_agent/critic.py index 6cbe46148..5133e82e8 100644 --- a/agentverse/agents/tasksolving_agent/critic.py +++ b/agentverse/agents/tasksolving_agent/critic.py @@ -62,7 +62,7 @@ async def astep( ) -> CriticMessage: """Asynchronous version of step""" logger.debug("", self.name, Fore.MAGENTA) - prepend_prompt, append_prompt = self.get_all_prompts( + prepend_prompt, append_prompt, prompt_token = self.get_all_prompts( preliminary_solution=preliminary_solution, advice=advice, task_description=task_description, @@ -72,7 +72,16 @@ async def astep( # tool_names=self.tool_names, tool_descriptions=self.tool_descriptions, ) - history = self.memory.to_messages(self.name, start_index=-self.max_history) + + max_send_token = self.llm.send_token_limit(self.llm.args.model) + max_send_token -= prompt_token + + history = await self.memory.to_messages( + self.name, + start_index=-self.max_history, + max_send_token=max_send_token, + model=self.llm.args.model, + ) parsed_response: Union[AgentCriticism, None] = None for i in range(self.max_retry): try: diff --git a/agentverse/agents/tasksolving_agent/evaluator.py b/agentverse/agents/tasksolving_agent/evaluator.py index abd40642b..a97455b0a 100644 --- a/agentverse/agents/tasksolving_agent/evaluator.py +++ b/agentverse/agents/tasksolving_agent/evaluator.py @@ -19,6 +19,8 @@ @agent_registry.register("evaluator") class EvaluatorAgent(BaseAgent): + max_history: int = 5 + def step( self, solution: str, @@ -26,18 +28,38 @@ def step( task_description: str, all_role_description: str, ) -> EvaluatorMessage: + pass + # return parsed_response + + async def astep( + self, + solution: str, + result: str, + task_description: str, + all_role_description: str, + ) -> EvaluatorMessage: + """Asynchronous version of step""" logger.debug("", self.name, Fore.MAGENTA) - prepend_prompt, append_prompt = self.get_all_prompts( + prepend_prompt, append_prompt, prompt_token = self.get_all_prompts( solution=solution, result=result, task_description=task_description, all_role_description=all_role_description, ) - history = self.memory.to_messages(self.name) + + max_send_token = self.llm.send_token_limit(self.llm.args.model) + max_send_token -= prompt_token + + history = await self.memory.to_messages( + self.name, + start_index=-self.max_history, + max_send_token=max_send_token, + model=self.llm.args.model, + ) parsed_response = None for i in range(self.max_retry): try: - response = self.llm.generate_response( + response = await self.llm.agenerate_response( prepend_prompt, history, append_prompt ) parsed_response = self.output_parser.parse(response) @@ -58,11 +80,6 @@ def step( advice=parsed_response[1] if parsed_response is not None else "", ) return message - # return parsed_response - - async def astep(self, solution: str) -> EvaluatorMessage: - """Asynchronous version of step""" - pass def _fill_prompt_template(self, solution: str, task_description: str) -> str: """Fill the placeholders in the prompt template diff --git a/agentverse/agents/tasksolving_agent/executor.py b/agentverse/agents/tasksolving_agent/executor.py index 38294453d..50bd237df 100644 --- a/agentverse/agents/tasksolving_agent/executor.py +++ b/agentverse/agents/tasksolving_agent/executor.py @@ -23,65 +23,28 @@ class ExecutorAgent(BaseAgent): def step( self, task_description: str, solution: str, tools: List[dict] = [], **kwargs ) -> ExecutorMessage: - logger.debug("", self.name, Fore.MAGENTA) - prepend_prompt, append_prompt = self.get_all_prompts( - task_description=task_description, - solution=solution, - agent_name=self.name, - **kwargs, - ) - - history = self.memory.to_messages(self.name, start_index=-self.max_history) - parsed_response = None - for i in range(self.max_retry): - try: - response = self.llm.generate_response( - prepend_prompt, history, append_prompt, tools - ) - parsed_response = self.output_parser.parse(response) - break - except (KeyboardInterrupt, bdb.BdbQuit): - raise - except Exception as e: - logger.error(e) - logger.warn("Retrying...") - continue - - if parsed_response is None: - logger.error(f"{self.name} failed to generate valid response.") - if isinstance(parsed_response, AgentFinish): - message = ExecutorMessage( - content=parsed_response.return_values["output"], - sender=self.name, - sender_agent=self, - ) - elif isinstance(parsed_response, AgentAction): - message = ExecutorMessage( - content=parsed_response.log, - sender=self.name, - sender_agent=self, - tool_name=parsed_response.tool, - tool_input=parsed_response.tool_input, - ) - else: - raise ValueError( - f"Error response type: {type(parsed_response)}. Only support \ - AgentFinish and AgentAction. Modify your output parser." - ) - return message + pass async def astep( self, task_description: str, solution: str, tools: List[dict] = [], **kwargs ) -> ExecutorMessage: logger.debug("", self.name, Fore.MAGENTA) - prepend_prompt, append_prompt = self.get_all_prompts( + prepend_prompt, append_prompt, prompt_token = self.get_all_prompts( task_description=task_description, solution=solution, agent_name=self.name, **kwargs, ) - history = self.memory.to_messages(self.name, start_index=-self.max_history) + max_send_token = self.llm.send_token_limit(self.llm.args.model) + max_send_token -= prompt_token + + history = await self.memory.to_messages( + self.name, + start_index=-self.max_history, + max_send_token=max_send_token, + model=self.llm.args.model, + ) parsed_response = None for i in range(self.max_retry): try: diff --git a/agentverse/agents/tasksolving_agent/role_assigner.py b/agentverse/agents/tasksolving_agent/role_assigner.py index 9b93833e6..ffec70ef7 100644 --- a/agentverse/agents/tasksolving_agent/role_assigner.py +++ b/agentverse/agents/tasksolving_agent/role_assigner.py @@ -19,20 +19,37 @@ @agent_registry.register("role_assigner") class RoleAssignerAgent(BaseAgent): + max_history: int = 5 + def step( self, advice: str, task_description: str, cnt_critic_agents: int ) -> RoleAssignerMessage: + pass + + async def astep( + self, advice: str, task_description: str, cnt_critic_agents: int + ) -> RoleAssignerMessage: + """Asynchronous version of step""" logger.debug("", self.name, Fore.MAGENTA) - prepend_prompt, append_prompt = self.get_all_prompts( + prepend_prompt, append_prompt, prompt_token = self.get_all_prompts( advice=advice, task_description=task_description, cnt_critic_agents=cnt_critic_agents, ) - history = self.memory.to_messages(self.name) + + max_send_token = self.llm.send_token_limit(self.llm.args.model) + max_send_token -= prompt_token + + history = await self.memory.to_messages( + self.name, + start_index=-self.max_history, + max_send_token=max_send_token, + model=self.llm.args.model, + ) parsed_response = None for i in range(self.max_retry): try: - response = self.llm.generate_response( + response = await self.llm.agenerate_response( prepend_prompt, history, append_prompt ) parsed_response = self.output_parser.parse(response) @@ -58,10 +75,6 @@ def step( ) return message - async def astep(self, env_description: str = "") -> RoleAssignerMessage: - """Asynchronous version of step""" - pass - def _fill_prompt_template( self, advice, task_description: str, cnt_critic_agents: int ) -> str: diff --git a/agentverse/agents/tasksolving_agent/solver.py b/agentverse/agents/tasksolving_agent/solver.py index 6db77561d..42ec5ba6a 100644 --- a/agentverse/agents/tasksolving_agent/solver.py +++ b/agentverse/agents/tasksolving_agent/solver.py @@ -15,33 +15,47 @@ from agentverse.agents.base import BaseAgent from agentverse.utils import AgentCriticism - logger = get_logger() @agent_registry.register("solver") class SolverAgent(BaseAgent): - max_history: int = 3 + max_history: int = 5 def step( self, former_solution: str, advice: str, task_description: str = "", **kwargs ) -> SolverMessage: + pass + + async def astep( + self, former_solution: str, advice: str, task_description: str = "", **kwargs + ) -> SolverMessage: + """Asynchronous version of step""" logger.debug("", self.name, Fore.MAGENTA) # prompt = self._fill_prompt_template( # former_solution, critic_opinions, advice, task_description # ) - prepend_prompt, append_prompt = self.get_all_prompts( + prepend_prompt, append_prompt, prompt_token = self.get_all_prompts( former_solution=former_solution, task_description=task_description, advice=advice, role_description=self.role_description, **kwargs, ) - history = self.memory.to_messages(self.name, start_index=-self.max_history) + + max_send_token = self.llm.send_token_limit(self.llm.args.model) + max_send_token -= prompt_token + + history = await self.memory.to_messages( + self.name, + start_index=-self.max_history, + max_send_token=max_send_token, + model=self.llm.args.model, + ) parsed_response = None for i in range(self.max_retry): try: - response = self.llm.generate_response( + response = await self.llm.agenerate_response( prepend_prompt, history, append_prompt ) parsed_response = self.output_parser.parse(response) @@ -65,10 +79,6 @@ def step( ) return message - async def astep(self, env_description: str = "") -> SolverMessage: - """Asynchronous version of step""" - pass - def _fill_prompt_template( self, former_solution: str, diff --git a/agentverse/environments/tasksolving_env/basic.py b/agentverse/environments/tasksolving_env/basic.py index 8e4631a24..457430311 100644 --- a/agentverse/environments/tasksolving_env/basic.py +++ b/agentverse/environments/tasksolving_env/basic.py @@ -51,7 +51,7 @@ async def step( logger.info(f"Loop Round {self.cnt_turn}") # ================== EXPERT RECRUITMENT ================== - agents = self.rule.role_assign( + agents = await self.rule.role_assign( self.task_description, self.agents, self.cnt_turn, advice ) description = "\n".join([agent.role_description for agent in agents]) @@ -79,7 +79,7 @@ async def step( # ================== EXECUTION ================== # ================== EVALUATION ================== - score, advice = self.rule.evaluate( + score, advice = await self.rule.evaluate( self.task_description, self.agents, plan, result ) logs.append( diff --git a/agentverse/environments/tasksolving_env/rules/base.py b/agentverse/environments/tasksolving_env/rules/base.py index 2e25c017c..a1fcb0dc9 100644 --- a/agentverse/environments/tasksolving_env/rules/base.py +++ b/agentverse/environments/tasksolving_env/rules/base.py @@ -68,7 +68,7 @@ def build_components(config: Dict, registry): **kwargs, ) - def role_assign( + async def role_assign( self, task_description: str, agents: List[BaseAgent], @@ -79,7 +79,7 @@ def role_assign( if self.role_assign_only_once and cnt_turn > 0: agents = [agents[AGENT_TYPES.SOLVER]] + agents[AGENT_TYPES.CRITIC] else: - agents = self.role_assigner.step( + agents = await self.role_assigner.astep( role_assigner=agents[AGENT_TYPES.ROLE_ASSIGNMENT], group_members=[agents[AGENT_TYPES.SOLVER]] + agents[AGENT_TYPES.CRITIC], advice=advice, @@ -137,7 +137,7 @@ async def execute( agents[AGENT_TYPES.SOLVER].add_message_to_memory(results) return results - def evaluate( + async def evaluate( self, task_description: str, agents: List[BaseAgent], @@ -162,7 +162,7 @@ def evaluate( # logger.error("Bad response from human evaluator!") # return ([comprehensiveness, detailedness, feasibility, novelty], advice) # else: - evaluation = self.evaluator.step( + evaluation = await self.evaluator.astep( agent=agents[AGENT_TYPES.EVALUATION], solution=solution, result=result, diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/brainstorming.py b/agentverse/environments/tasksolving_env/rules/decision_maker/brainstorming.py index a6db1a5f6..39bd35ae9 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/brainstorming.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/brainstorming.py @@ -53,7 +53,7 @@ async def astep( Fore.YELLOW, ) - result = agents[0].step(previous_plan, advice, task_description) + result = await agents[0].astep(previous_plan, advice, task_description) for agent in agents: agent.memory.reset() self.broadcast_messages( diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/central.py b/agentverse/environments/tasksolving_env/rules/decision_maker/central.py index 5d7bf5702..1d682e3da 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/central.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/central.py @@ -47,7 +47,7 @@ async def astep( ), ) agents[1].add_message_to_memory([result]) - result = agents[0].step( + result = await agents[0].astep( previous_plan, advice, task_description, chat_record=result.content ) return [result] diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/concurrent.py b/agentverse/environments/tasksolving_env/rules/decision_maker/concurrent.py index cc34e00b7..f3979b851 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/concurrent.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/concurrent.py @@ -59,7 +59,7 @@ async def astep( last_reviews = nonempty_reviews agents[0].add_message_to_memory(last_reviews) - result = agents[0].step(previous_plan, advice, task_description) + result = await agents[0].astep(previous_plan, advice, task_description) # agents[0].add_message_to_memory([result]) self.broadcast_messages(agents, [result]) return [result] diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/dynamic.py b/agentverse/environments/tasksolving_env/rules/decision_maker/dynamic.py index d6b6d72fe..c1fccf923 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/dynamic.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/dynamic.py @@ -56,7 +56,7 @@ async def astep( # Fore.YELLOW, # ) - previous_sentence = manager.step( + previous_sentence = await manager.astep( previous_plan, review, advice, task_description, previous_sentence ) reviews.append(previous_sentence) @@ -76,7 +76,7 @@ async def astep( nonempty_reviews.append(review) agents[0].add_message_to_memory(nonempty_reviews) - result = agents[0].step(previous_plan, advice, task_description) + result = await agents[0].astep(previous_plan, advice, task_description) return [result] diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal.py b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal.py index b2a8c5703..ef9f43108 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal.py @@ -50,7 +50,7 @@ async def astep( Fore.YELLOW, ) - result = agents[0].step(previous_plan, advice, task_description) + result = await agents[0].astep(previous_plan, advice, task_description) return [result] def reset(self): diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py index 5cea85eab..b30e88046 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py @@ -77,7 +77,9 @@ async def astep( if end_flag: break - result: SolverMessage = agents[0].step(previous_plan, advice, task_description) + result: SolverMessage = await agents[0].astep( + previous_plan, advice, task_description + ) result_list = [] for res in result.content: res_tmp = deepcopy(result) diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/vertical.py b/agentverse/environments/tasksolving_env/rules/decision_maker/vertical.py index d8adf594d..0bcc4688f 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/vertical.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/vertical.py @@ -50,7 +50,7 @@ async def astep( if not review.is_agree and review.content != "": nonempty_reviews.append(review) agents[0].add_message_to_memory(nonempty_reviews) - result = agents[0].step(previous_plan, advice, task_description) + result = await agents[0].astep(previous_plan, advice, task_description) agents[0].add_message_to_memory([result]) return [result] diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/vertical_solver_first.py b/agentverse/environments/tasksolving_env/rules/decision_maker/vertical_solver_first.py index 97114f455..c3c38af8e 100644 --- a/agentverse/environments/tasksolving_env/rules/decision_maker/vertical_solver_first.py +++ b/agentverse/environments/tasksolving_env/rules/decision_maker/vertical_solver_first.py @@ -38,7 +38,7 @@ async def astep( self.broadcast_messages( agents, [Message(content=advice, sender="Evaluator")] ) - previous_plan = agents[0].step(previous_plan, advice, task_description) + previous_plan = await agents[0].astep(previous_plan, advice, task_description) self.broadcast_messages(agents, [previous_plan]) logger.info("", f"Initial Plan:\n{previous_plan.content}", Fore.BLUE) for i in range(self.max_inner_turns): @@ -65,7 +65,7 @@ async def astep( logger.info("", "Consensus Reached!.", Fore.GREEN) break self.broadcast_messages(agents, nonempty_reviews) - previous_plan = agents[0].step(previous_plan, advice, task_description) + previous_plan = await agents[0].astep(previous_plan, advice, task_description) logger.info("", f"Updated Plan:\n{previous_plan.content}", Fore.BLUE) self.broadcast_messages(agents, [previous_plan]) result = previous_plan diff --git a/agentverse/environments/tasksolving_env/rules/evaluator/base.py b/agentverse/environments/tasksolving_env/rules/evaluator/base.py index f3d72ad98..96a00ff59 100644 --- a/agentverse/environments/tasksolving_env/rules/evaluator/base.py +++ b/agentverse/environments/tasksolving_env/rules/evaluator/base.py @@ -20,7 +20,7 @@ class BaseEvaluator(BaseModel): """ @abstractmethod - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[SolverMessage], @@ -38,7 +38,7 @@ def reset(self): @evaluator_registry.register("none") class NoneEvaluator(BaseEvaluator): - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[SolverMessage], @@ -56,7 +56,7 @@ def step( @evaluator_registry.register("dummy") class DummyEvaluator(BaseEvaluator): - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[SolverMessage], @@ -72,7 +72,7 @@ def step( @evaluator_registry.register("dummy") class DummyEvaluator(BaseEvaluator): - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[str] | str, diff --git a/agentverse/environments/tasksolving_env/rules/evaluator/basic.py b/agentverse/environments/tasksolving_env/rules/evaluator/basic.py index a7738fe21..847234f03 100644 --- a/agentverse/environments/tasksolving_env/rules/evaluator/basic.py +++ b/agentverse/environments/tasksolving_env/rules/evaluator/basic.py @@ -14,7 +14,7 @@ class BasicEvaluator(BaseEvaluator): cnt_agents: int = 0 - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[SolverMessage], @@ -27,7 +27,7 @@ def step( flatten_solution = "\n".join([s.content for s in solution]) flatten_result = "\n".join([r.content for r in result]) flatten_all_role_description = "\n".join(all_role_description) - evaluation = agent.step( + evaluation = await agent.astep( flatten_solution, flatten_result, task_description, @@ -40,7 +40,7 @@ def step( class BasicEvaluator(BaseEvaluator): cnt_agents: int = 0 - def step( + async def astep( self, agent: EvaluatorAgent, solution: List[SolverMessage], @@ -54,7 +54,7 @@ def step( flatten_result = "\n".join([r.content for r in result]) flatten_all_role_description = "\n".join(all_role_description) agent.add_message_to_memory(result) - evaluation = agent.step( + evaluation = await agent.astep( flatten_solution, flatten_result, task_description, diff --git a/agentverse/environments/tasksolving_env/rules/executor/code_test.py b/agentverse/environments/tasksolving_env/rules/executor/code_test.py index 121aabc67..1a60b720e 100644 --- a/agentverse/environments/tasksolving_env/rules/executor/code_test.py +++ b/agentverse/environments/tasksolving_env/rules/executor/code_test.py @@ -71,35 +71,7 @@ def step( *args, **kwargs, ) -> Any: - solution = solution[0].content - os.makedirs("tmp", exist_ok=True) - self.write_to_file("tmp/main.py", solution) - manager = multiprocessing.Manager() - result = manager.list() - if task_description not in self.has_test: - response = agent.step(task_description, solution).content - self.write_to_file(response["file_path"], response["code"]) - self.has_test[task_description] = f"python {response['file_path']}" - p = multiprocessing.Process( - target=execute_command, args=(f"python {response['file_path']}", result) - ) - p.start() - p.join(timeout=self.timeout + 1) - if p.is_alive(): - p.kill() - # result = execute_command(f"python {response['file_path']}") - else: - # result = execute_command(self.has_test[task_description]) - p = multiprocessing.Process( - target=execute_command, args=(self.has_test[task_description], result) - ) - p.start() - p.join(timeout=self.timeout + 1) - if p.is_alive(): - p.kill() - if not result: - result.append("Execution timed out.") - return [ExecutorMessage(content=result[0], sender="Code Tester")] + pass def write_to_file(self, file_name, file_content): # TODO: generalize this method to a common tool diff --git a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py index 65bc8ff24..9ae70a78d 100644 --- a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py +++ b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py @@ -13,7 +13,7 @@ from . import BaseExecutor, executor_registry import asyncio - +from agentverse.llms.utils.jsonrepair import JsonRepair url = "http://127.0.0.1:8080" @@ -85,7 +85,6 @@ async def astep( self.agent_names.append(name) plan_this_turn[name] = plans[i].content.split("-")[1].strip() agent_name_this_turn.append(name) - # agents = [deepcopy(agent) for _ in range(len(plans))] if self.tool_retrieval: # We retrieve 5 related tools for each agent @@ -109,7 +108,6 @@ async def astep( # Record the indices of agents that have finished their tasks # so that they will not be called again finished_agent_names = set() - # result = ["" for _ in range(len(plan_this_turn))] result = {name: "" for name in agent_name_this_turn} for current_turn in range(self.max_tool_call_times): if len(finished_agent_names) == len(agent_name_this_turn): @@ -224,10 +222,59 @@ async def _summarize_webpage(webpage, question): response = await openai.ChatCompletion.acreate( messages=[{"role": "user", "content": summarize_prompt}], model="gpt-3.5-turbo-16k", + functions=[ + { + "name": "parse_web_text", + "description": "Parse the text of the webpage based on tthe question. Extract all related infomation about `Question` from the webpage. ! Don't provide information that is not shown in the webpage! ! Don't provide your own opinion!", + "parameters": { + "type": "object", + "properties": { + "summary": { + "type": "string", + "description": "Summary of the webpage with 50 words. Make sure all important information about `Question` is included. ! Don't provide information that is not shown in the webpage! ! Don't provide your own opinion!", + }, + "related_details": { + "type": "string", + "description": "List all webpage details related to the question. Maximum 400 words. ! Don't provide information that is not shown in the webpage! ! Don't provide your own opinion!", + }, + "useful_hyperlinks": { + "type": "array", + "description": "Maximum 3 items. Select useful hyperlinks in the webpage that related to the question. Make sure the url is useful for further browse. Don't provide repeated hyperlinks.", + "items": { + "type": "string", + "description": "! Don't provide hyperlinks that is not shown in the webpage! ! Don't provide your own opinion!", + }, + }, + }, + "required": [ + "summary", + "related_details", + "useful_hyperlinks", + ], + }, + } + ], + function_call={"name": "parse_web_text"}, ) - except: + except Exception as e: + logger.error("Failed to call the tool. Exception: " + str(e)) continue - return response["choices"][0]["message"]["content"] + arguments = ast.literal_eval( + JsonRepair( + response["choices"][0]["message"]["function_call"]["arguments"] + ).repair() + ) + ret = ( + "summary: " + + arguments["summary"] + + "\nrelated_details: " + + arguments["related_details"] + + "\nuseful_hyperlinks: [" + + ",".join(arguments["useful_hyperlinks"]) + + "]\n" + ) + + return ret if command == "submit_task": return { @@ -251,7 +298,6 @@ async def _summarize_webpage(webpage, question): "is_finish": False, "cookies": cookies, } - for i in range(3): try: async with ClientSession(cookies=cookies, trust_env=True) as session: @@ -277,20 +323,38 @@ async def _summarize_webpage(webpage, question): async with session.post( f"{url}/execute_tool", json=payload, - headers={ - "toolbench_key": "p5ZASSLBO0EknAQLE5ecNZ7kq5i1YfY9eoWUXNxL3TM6lXwdXs" - }, timeout=30, ) as response: content = await response.text() if command == "WebEnv_browse_website": openai.aiosession.set(session) - content = await _summarize_webpage( - content, arguments["question"] + result = await _summarize_webpage( + content, arguments["goals_to_browse"] ) + elif command == "WebEnv_search_and_browse": + openai.aiosession.set(session) + content = json.loads(content) + # for i in range(len(content)): + summarized = await asyncio.gather( + *[ + _summarize_webpage( + content[i]["page"], arguments["goals_to_browse"] + ) + for i in range(len(content)) + ] + ) + for i in range(len(content)): + content[i]["page"] = summarized[i] + result = "" + for i in range(len(content)): + result += f"SEARCH_REASULT {i}:\n" + result += content[i]["page"].strip() + "\n\n" + result = result.strip() + else: + result = content message = ExecutorMessage( - content=content, + content=result, sender="function", tool_name=command, tool_input=arguments, diff --git a/agentverse/environments/tasksolving_env/rules/role_assigner/base.py b/agentverse/environments/tasksolving_env/rules/role_assigner/base.py index 726abf52a..cd8f843bf 100644 --- a/agentverse/environments/tasksolving_env/rules/role_assigner/base.py +++ b/agentverse/environments/tasksolving_env/rules/role_assigner/base.py @@ -19,7 +19,7 @@ class BaseRoleAssigner(BaseModel): """ @abstractmethod - def step( + async def astep( self, role_assigner: RoleAssignerAgent, group_members: List[CriticAgent], @@ -40,7 +40,7 @@ class DummyRoleAssigner(BaseRoleAssigner): The base class of role assignment class. """ - def step( + async def astep( self, role_assigner: RoleAssignerAgent, group_members: List[CriticAgent], diff --git a/agentverse/environments/tasksolving_env/rules/role_assigner/role_description.py b/agentverse/environments/tasksolving_env/rules/role_assigner/role_description.py index 1d7490c83..b28b64408 100644 --- a/agentverse/environments/tasksolving_env/rules/role_assigner/role_description.py +++ b/agentverse/environments/tasksolving_env/rules/role_assigner/role_description.py @@ -16,7 +16,7 @@ class DescriptionAssigner(BaseRoleAssigner): Generates descriptions for each agent. """ - def step( + async def astep( self, role_assigner: RoleAssignerAgent, group_members: List[CriticAgent], @@ -28,7 +28,7 @@ def step( assert task_description != "" assert len(group_members) > 0 - roles = role_assigner.step(advice, task_description, len(group_members)) + roles = await role_assigner.astep(advice, task_description, len(group_members)) if len(roles.content) < len(group_members): raise ValueError( f"Number of roles ({len(roles.content)}) and number of group members ({len(group_members)}) do not match." @@ -50,7 +50,7 @@ class DescriptionNameAssigner(BaseRoleAssigner): Generates description and name for each agent. """ - def step( + async def astep( self, role_assigner: RoleAssignerAgent, group_members: List[CriticAgent], @@ -63,7 +63,7 @@ def step( assert len(group_members) > 0 # roles: [{'name': 'xxx', 'description': 'xxx'}, ...] - roles = role_assigner.step(advice, task_description, len(group_members)) + roles = await role_assigner.astep(advice, task_description, len(group_members)) if len(group_members) < 2: pass diff --git a/agentverse/llms/__init__.py b/agentverse/llms/__init__.py index 5c0cd5047..0902d3116 100644 --- a/agentverse/llms/__init__.py +++ b/agentverse/llms/__init__.py @@ -1,6 +1,7 @@ from agentverse.registry import Registry llm_registry = Registry(name="LLMRegistry") +LOCAL_LLMS = ["llama-2-7b-chat-hf"] from .base import BaseLLM, BaseChatModel, BaseCompletionModel, LLMResult from .openai import OpenAIChat diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 08547c300..1331d9155 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -13,7 +13,7 @@ from agentverse.logging import logger from agentverse.message import Message -from . import llm_registry +from . import llm_registry, LOCAL_LLMS from .base import BaseChatModel, BaseCompletionModel, BaseModelArgs from .utils.jsonrepair import JsonRepair @@ -92,8 +92,8 @@ class OpenAIChatArgs(BaseModelArgs): # total_tokens=response["usage"]["total_tokens"], # ) + # To support your own local LLMs, register it here and add it into LOCAL_LLMS. -LOCAL_LLMS = ['llama-2-7b-chat-hf'] @llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") @@ -111,10 +111,23 @@ def __init__(self, max_retry: int = 3, **kwargs): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: logging.warning(f"Unused arguments: {kwargs}") - if args['model'] in LOCAL_LLMS: + if args["model"] in LOCAL_LLMS: openai.api_base = "http://localhost:5000/v1" super().__init__(args=args, max_retry=max_retry) + @classmethod + def send_token_limit(self, model: str) -> int: + send_token_limit_dict = { + "gpt-3.5-turbo": 4096, + "gpt-35-turbo": 4096, + "gpt-3.5-turbo-16k": 16384, + "gpt-4": 8192, + "gpt-4-32k": 32768, + "llama-2-7b-chat-hf": 4096, + } + + return send_token_limit_dict[model] + # def _construct_messages(self, history: List[Message]): # return history + [{"role": "user", "content": query}] @retry( diff --git a/agentverse/llms/utils/__init__.py b/agentverse/llms/utils/__init__.py index e122a4906..d64f068ef 100644 --- a/agentverse/llms/utils/__init__.py +++ b/agentverse/llms/utils/__init__.py @@ -1 +1,2 @@ -from . jsonrepair import JsonRepair +from .jsonrepair import JsonRepair +from .token_counter import count_string_tokens, count_message_tokens diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py new file mode 100644 index 000000000..cdff86ad9 --- /dev/null +++ b/agentverse/llms/utils/token_counter.py @@ -0,0 +1,59 @@ +# Modified from AutoGPT https://github.com/Significant-Gravitas/AutoGPT/blob/release-v0.4.7/autogpt/llm/utils/token_counter.py + +import tiktoken +from typing import List, Union, Dict +from agentverse.logging import logger +from agentverse.message import Message +from agentverse.llms import LOCAL_LLMS +from transformers import AutoTokenizer + + +def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int: + return len(tiktoken.encoding_for_model(model).encode(prompt)) + + +def count_message_tokens( + messages: Union[Dict, List[Dict]], model: str = "gpt-3.5-turbo" +) -> int: + if isinstance(messages, dict): + messages = [messages] + + if model.startswith("gpt-3.5-turbo"): + tokens_per_message = ( + 4 # every message follows <|start|>{role/name}\n{content}<|end|>\n + ) + tokens_per_name = -1 # if there's a name, the role is omitted + encoding_model = "gpt-3.5-turbo" + elif model.startswith("gpt-4"): + tokens_per_message = 3 + tokens_per_name = 1 + encoding_model = "gpt-4" + elif model in LOCAL_LLMS: + encoding = AutoTokenizer.from_pretrained(model) + else: + raise NotImplementedError( + f"count_message_tokens() is not implemented for model {model}.\n" + " See https://github.com/openai/openai-python/blob/main/chatml.md for" + " information on how messages are converted to tokens." + ) + if model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4"): + try: + encoding = tiktoken.encoding_for_model(encoding_model) + except KeyError: + logger.warn("Warning: model not found. Using cl100k_base encoding.") + encoding = tiktoken.get_encoding("cl100k_base") + + num_tokens = 0 + for message in messages: + num_tokens += tokens_per_message + for key, value in message.items(): + # TODO: count number of function_call's token more accurately + if key == "function_call": + num_tokens += len(encoding.encode(value["name"])) + num_tokens += len(encoding.encode(value["arguments"])) + else: + num_tokens += len(encoding.encode(value)) + if key == "name": + num_tokens += tokens_per_name + num_tokens += 3 # every reply is primed with <|start|>assistant<|message|> + return num_tokens diff --git a/agentverse/memory/chat_history.py b/agentverse/memory/chat_history.py index 38649d402..e4bc508a6 100644 --- a/agentverse/memory/chat_history.py +++ b/agentverse/memory/chat_history.py @@ -1,17 +1,40 @@ import json -from typing import List +import logging +import os +import openai +import copy +from typing import List, Optional, Tuple, Dict from pydantic import Field from agentverse.message import Message, ExecutorMessage - from . import memory_registry from .base import BaseMemory +from agentverse.llms.utils import count_message_tokens, count_string_tokens +from agentverse.llms import OpenAIChat @memory_registry.register("chat_history") class ChatHistoryMemory(BaseMemory): messages: List[Message] = Field(default=[]) + has_summary: bool = False + max_summary_tlength: int = 500 + last_trimmed_index: int = 0 + summary: str = "" + SUMMARIZATION_PROMPT = '''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. + +You will receive the current summary and your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise. + +Summary So Far: +""" +{summary} +""" + +Latest Development: +""" +{new_events} +""" +''' def add_message(self, messages: List[Message]) -> None: for message in messages: @@ -30,8 +53,19 @@ def to_string(self, add_sender_prefix: bool = False) -> str: else: return "\n".join([message.content for message in self.messages]) - def to_messages(self, my_name: str = "", start_index: int = 0) -> List[dict]: + async def to_messages( + self, + my_name: str = "", + start_index: int = 0, + max_summary_length: int = 0, + max_send_token: int = 0, + model: str = "gpt-3.5-turbo", + ) -> List[dict]: messages = [] + + if self.has_summary: + start_index = self.last_trimmed_index + for message in self.messages[start_index:]: if message.sender == my_name: if isinstance(message, ExecutorMessage): @@ -71,7 +105,138 @@ def to_messages(self, my_name: str = "", start_index: int = 0) -> List[dict]: "content": f"[{message.sender}]: {message.content}", } ) + + # summary message + if self.has_summary: + """https://github.com/Significant-Gravitas/AutoGPT/blob/release-v0.4.7/autogpt/memory/message_history.py""" + if max_summary_length == 0: + max_summary_length = self.max_summary_tlength + max_send_token -= max_summary_length + prompt = [] + trimmed_history = add_history_upto_token_limit( + prompt, messages, max_send_token, model + ) + if trimmed_history: + import pdb + + pdb.set_trace() + new_summary_msg, _ = await self.trim_messages( + list(prompt), model, messages + ) + prompt.append(new_summary_msg) + messages = prompt return messages def reset(self) -> None: self.messages = [] + + async def trim_messages( + self, current_message_chain: List[Dict], model: str, history: List[Dict] + ) -> Tuple[Dict, List[Dict]]: + new_messages_not_in_chain = [ + msg for msg in history if msg not in current_message_chain + ] + + if not new_messages_not_in_chain: + return self.summary_message(), [] + + new_summary_message = await self.update_running_summary( + new_events=new_messages_not_in_chain, model=model + ) + + last_message = new_messages_not_in_chain[-1] + self.last_trimmed_index += history.index(last_message) + + return new_summary_message, new_messages_not_in_chain + + async def update_running_summary( + self, + new_events: List[Dict], + model: str = "gpt-3.5-turbo", + max_summary_length: Optional[int] = None, + ) -> dict: + if not new_events: + return self.summary_message() + if max_summary_length is None: + max_summary_length = self.max_summary_tlength + + new_events = copy.deepcopy(new_events) + + # Replace "assistant" with "you". This produces much better first person past tense results. + for event in new_events: + if event["role"].lower() == "assistant": + event["role"] = "you" + + elif event["role"].lower() == "system": + event["role"] = "your computer" + + # Delete all user messages + elif event["role"] == "user": + new_events.remove(event) + + prompt_template_length = len( + self.SUMMARIZATION_PROMPT.format(summary="", new_events="") + ) + max_input_tokens = OpenAIChat.send_token_limit(model) - max_summary_length + summary_tlength = count_string_tokens(self.summary, model) + batch: List[Dict] = [] + batch_tlength = 0 + + for event in new_events: + event_tlength = count_message_tokens(event, model) + + if ( + batch_tlength + event_tlength + > max_input_tokens - prompt_template_length - summary_tlength + ): + await self._update_summary_with_batch(batch, model, max_summary_length) + summary_tlength = count_string_tokens(self.summary, model) + batch = [event] + batch_tlength = event_tlength + else: + batch.append(event) + batch_tlength += event_tlength + + if batch: + await self._update_summary_with_batch(batch, model, max_summary_length) + + return self.summary_message() + + async def _update_summary_with_batch( + self, new_events_batch: List[dict], model: str, max_summary_length: int + ) -> None: + prompt = self.SUMMARIZATION_PROMPT.format( + summary=self.summary, new_events=new_events_batch + ) + + self.summary = await openai.ChatCompletion.acreate( + messages=[{"role": "user", "content": prompt}], + model=model, + max_tokens=max_summary_length, + temperature=0.5, + )["choices"][0]["message"]["content"] + + def summary_message(self) -> dict: + return { + "role": "system", + "content": f"This reminds you of these events from your past: \n{self.summary}", + } + + +def add_history_upto_token_limit( + prompt: List[dict], history: List[dict], t_limit: int, model: str +) -> List[Message]: + limit_reached = False + current_prompt_length = 0 + trimmed_messages: List[Dict] = [] + for message in history[::-1]: + token_to_add = count_message_tokens(message, model) + if current_prompt_length + token_to_add > t_limit: + limit_reached = True + + if not limit_reached: + prompt.insert(0, message) + current_prompt_length += token_to_add + else: + trimmed_messages.insert(0, message) + return trimmed_messages diff --git a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml index 2ac61f385..e26ecd6a3 100644 --- a/agentverse/tasks/tasksolving/tool_using/24point/config.yaml +++ b/agentverse/tasks/tasksolving/tool_using/24point/config.yaml @@ -147,6 +147,7 @@ agents: append_prompt_template: *role_assigner_append_prompt memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: "gpt-4" @@ -163,6 +164,7 @@ agents: max_retry: 100 memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: "gpt-4" @@ -186,6 +188,7 @@ agents: append_prompt_template: *critic_append_prompt memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: "gpt-4" @@ -204,6 +207,7 @@ agents: max_retry: 100 memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: gpt-4 @@ -222,6 +226,7 @@ agents: append_prompt_template: *evaluator_append_prompt memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: gpt-4 @@ -237,6 +242,7 @@ agents: prompt_template: *manager_prompt memory: memory_type: chat_history + has_summary: true llm: llm_type: gpt-4 model: "gpt-4" diff --git a/agentverse/tasks/tasksolving/tool_using/tools_simplified.json b/agentverse/tasks/tasksolving/tool_using/tools_simplified.json index 9ddfeffa2..609926c7f 100644 --- a/agentverse/tasks/tasksolving/tool_using/tools_simplified.json +++ b/agentverse/tasks/tasksolving/tool_using/tools_simplified.json @@ -1,35 +1,12 @@ { "available_envs": [ { - "name": "FileSystemEnv", - "description": "Provide a file system operation environment for Agent.\n ", - "total_tools": 5, - "tools": [ - "is_path_exist", - "modify_file", - "print_filesys_struture", - "read_from_file", - "write_to_file" - ] - }, - { - "name": "PDBCodingEnv", - "description": "Note: This env is subclass of ['FileSystemEnv', 'ShellEnv'], and all tools of parent envs are inherited and not visible. You can try call parent tools or check this env's defination to show them.\nPython Debugging Coding Environment.\n Always run code with `python -m pdb {python_file.py}`.\n ", - "total_tools": 11, - "tools": [ - "run_code" - ] - }, - { - "name": "ShellEnv", - "description": "Provide and maintain an interactive shell environment.\n ", - "total_tools": 5, + "name": "PythonNotebook", + "description": "Python Notebook Environment. Provide a notebook interface to run python code.", + "total_tools": 2, "tools": [ - "kill", - "read_stdout", - "restart", - "terminate", - "write_stdin" + "execute_cell", + "print_cells_outputs" ] }, { @@ -38,105 +15,217 @@ "total_tools": 2, "tools": [ "browse_website", - "scrape_text" + "search_and_browse" ] }, { - "name": "RapidAPIEnv", - "description": "Note: All tools of this env are invisible during all tools display, please check this env's defination to show all tools.\nRapidAPI Env delivers rapid api for tool server.", - "total_tools": 4208, + "name": "FileSystemEnv", + "description": "Provide a file system operation environment for Agent.\n ", + "total_tools": 4, "tools": [ - "rapi_100_success_instagram_api_scalable_robust_media_info", - "rapi_100_success_instagram_api_scalable_robust_post_comments", - "rapi_100_success_instagram_api_scalable_robust_user_followers", - "rapi_13f918yf19o1t1f1of1t9_endpoint1", - "rapi_3d_services_thumbnail", - "rapi_4d_dream_dictionary_get_dream_number", - "rapi_50k_radio_stations_get_channels", - "rapi_50k_radio_stations_get_cities", - "rapi_50k_radio_stations_get_countries", - "rapi_50k_radio_stations_get_genres", - "..." + "modify_file", + "print_filesys_struture", + "read_from_file", + "write_to_file" ] } ], "available_tools": [ - "FileSystemEnv_is_path_exist", + "PythonNotebook_execute_cell", + "PythonNotebook_print_cells_outputs", + "WebEnv_browse_website", + "WebEnv_search_and_browse", "FileSystemEnv_modify_file", "FileSystemEnv_print_filesys_struture", "FileSystemEnv_read_from_file", "FileSystemEnv_write_to_file", - "PDBCodingEnv_run_code", - "ShellEnv_kill", - "ShellEnv_read_stdout", - "ShellEnv_restart", - "ShellEnv_terminate", - "ShellEnv_write_stdin", - "WebEnv_browse_website", - "WebEnv_scrape_text", - "query_wolfram", - "bing_search" + "shell_command_executor" ], "tools_json": [ - { - "name": "WebEnv_browse_website", - "description": "Browse a website and return the page. Note some websites may not be accessable due to network error.", - "parameters": { - "type": "object", - "properties": { - "url": { - "type": "string", - "description": "The realworld URL to scrape text from. Started with http:// or https://." - }, - "question": { - "type": "string", - "description": "The question for the website. The function will answer the question by browsing the url." - } - }, - "required": [ - "url", - "question" - ] - } - }, { - "name": "run_interpreter", - "description": "The code interpreter tool that runs code and returns the output.\nThe `code` will be written to file `filename` and the `command` will be executed in a shell. The returned value of this tool is the stdout content. So use `print` to get the important information.\nExample:\n```\nrun_interpreter(code='print(\"hello world\")',command='python code.py')\n```", + "name": "PythonNotebook_execute_cell", + "description": "Create or replace a notebook cell and execute it, return the output.\nUse this tool to test your idea quickly.\n\nExample:\n```\nIn[0]: code='print(\"hello world\")' # This will create a new cell and execute it.\nOut[0]: ['cell_index: 0', 'hello world']\nIn[1]: code='print(\"hello world\")',cell_index=0 # This will overwrite the first cell and execute it.\nIn[2]: code='print(\"hello world\")',cell_index=-1 # This will overwrite the last cell and execute it.\n```", "parameters": { "type": "object", "properties": { "code": { "type": "string", - "description": "The code to be written, default to `None`, which means no code will be written to file." + "description": "python code to be executed, make sure it is valid python code with right format. don't provide shell command that started with '!' here. don't make your code print too much output." + }, + "cell_index": { + "type": "integer", + "description": "the index of the cell to be insert and overwrite `code`, default to `None`, which means append new cell." }, - "filename": { + "reset": { + "type": "boolean", + "description": "whether to reset the kernel before executing the code. Default to `False`." + } + }, + "required": [ + "code" + ] + } + }, + { + "name": "PythonNotebook_print_cells_outputs", + "description": "print all notebook cells' content and output.", + "parameters": { + "type": "object", + "properties": {}, + "required": [] + } + }, + { + "name": "WebEnv_browse_website", + "description": "Give a http or https url to browse a website and return the summarize text. Note some websites may not be accessable due to network error. This tool only return the content of give url and cannot provide any information need interaction with the website.", + "parameters": { + "type": "object", + "properties": { + "url": { "type": "string", - "description": "The filename to be written in mode `w`, default to `code.py`." + "description": "The realworld Uniform Resource Locator (web address) to scrape text from. Never provide something like \"\", give real url!!! Example: 'https://www.deepmind.com/'" }, - "command": { + "goals_to_browse": { "type": "string", - "description": "The shell command to be executed should avoid requiring additional user input, default to `python {filename}`." + "description": "The goals for browse the given `url` (e.g. what you want to find on webpage.). If you need more details, request it in here." } }, - "required": [] + "required": [ + "url", + "goals_to_browse" + ] } }, { - "name": "bing_search", - "description": "Return 3 most relevant results of a Bing search using the official Bing API. This tool does not provide website details, use other tools to browse website if you need.", + "name": "WebEnv_search_and_browse", + "description": "Search with search tools and browse the website returned by search. Note some websites may not be accessable due to network error.", "parameters": { "type": "object", "properties": { - "query": { + "search_query": { "type": "string", "description": "The search query." + }, + "goals_to_browse": { + "type": "string", + "description": "What's you want to find on the website returned by search. If you need more details, request it in here. Examples: 'What is latest news about deepmind?', 'What is the main idea of this article?'" + }, + "region": { + "type": "string", + "description": "The region code of the search, default to `en-US`. Available regions: `en-US`, `zh-CN`, `ja-JP`, `de-DE`, `fr-FR`, `en-GB`." } }, "required": [ - "query" + "search_query", + "goals_to_browse" ] } }, + { + "name": "FileSystemEnv_modify_file", + "description": "Modify the textual file lines in slice [start_index:end_index] based on `new_content` provided. Return content of the file after modification so no further need to call `read_from_file`.\nfilepath_content_lines[start_index:end_index] = new_content\n\nExample:\n```\nIn[0]: modify_file('test.txt', 'Hello World!') # This will insert a new line `Hello World!` at the end of the file `test.txt`.\nIn[1]: modify_file('test.txt', 'Hello World!', 0) # This will insert a new line `Hello World!` at the begin of the file `test.txt`.\nIn[2]: modify_file('test.txt', 'Hello World!', 0, 1) # This will replace the first line of the file `test.txt` with `Hello World!`. \n```", + "parameters": { + "type": "object", + "properties": { + "filepath": { + "type": "string", + "description": "The path to the file to be modified, always use relative path to the workspace root." + }, + "new_content": { + "type": "string", + "description": "The new content to be replaced with the old content." + }, + "start_index": { + "type": "integer", + "description": "The start position in slice to modified file lines. Defaults to `None`, which means insert the new content at the end of the file. So do not provide this if you want to append the new content to the file." + }, + "end_index": { + "type": "integer", + "description": "The end posistion in slice to modified file lines. Defaults to the value of `start_index`, which means if `start_index` provided, insert the new content at the `start_index` line." + } + }, + "required": [ + "filepath", + "new_content" + ] + } + }, + { + "name": "FileSystemEnv_print_filesys_struture", + "description": "Return a tree-like structure for all files and folders in the workspace. Use this tool if you are not sure what files are in the workspace.\nThis function recursively walks through all the directories in the workspace\nand return them in a tree-like structure, \ndisplaying all the files under each directory.\n\nExample:\n```\n- root/\n - sub_directory1/\n - file1.txt\n - file2.txt\n - sub_directory2/\n - file3.txt\n```", + "parameters": { + "type": "object", + "properties": {}, + "required": [] + } + }, + { + "name": "FileSystemEnv_read_from_file", + "description": "Open and read the textual file content in the workspace, you will see the content of the target file.\nDon't use this if the give `filepath` is writen or modified before, the content in `filepath` should be already returned.", + "parameters": { + "type": "object", + "properties": { + "filepath": { + "type": "string", + "description": "The path to the file to be opened, always use relative path to the workspace root." + }, + "start_index": { + "type": "integer", + "description": "The starting line number of the content to be opened. Defaults to 0." + } + }, + "required": [ + "filepath" + ] + } + }, + { + "name": "FileSystemEnv_write_to_file", + "description": "Write the textual file in the workspace with the content provided. \nWill automatically create the file if it does not exist. Also overwrite the file content if it already exists. If you want to append content to the file, use `modify_file` instead.\nBetter check if the file exists before directly writing to it. \nReturn content of the file after writing.", + "parameters": { + "type": "object", + "properties": { + "filepath": { + "type": "string", + "description": "The path to the file to be saved, always use relative path to the workspace root." + }, + "content": { + "type": "string", + "description": "The content to be saved." + } + }, + "required": [ + "filepath", + "content" + ] + } + }, + { + "name": "shell_command_executor", + "description": "The shell tool that execute shell command in root privilege, return the output and error. \nYou can use this tool to install packages, download files, run programs, etc.\nSet run_async=True to run the command in a new thread and return instantly if your command is time costly like install packages, host services. \nExample:\n```\nIn: shell_command_executor(command='echo \"hello world\"')\nOut: \"hello world\"\nIn: shell_command_executor(command='sleep 10', run_async=True)\nOut: {'shell_id': 0} # You can use this id to read the output and error later.\nIn: shell_command_executor(shell_id=0, kill=True)\nOut: \"\" # The shell 0 will be killed.\n```", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "The shell command to be executed, must avoid command requiring additional user input. Default is empty string." + }, + "run_async": { + "type": "boolean", + "description": "Whether to run the command asynchronously, default is False. If True, call this tool again with shell_id to get the final output and error." + }, + "shell_id": { + "type": "integer", + "description": "The id of shell to execute command, default is None, which means running in a new shell. Change this to execute command in the same shell." + }, + "kill": { + "type": "boolean", + "description": "If True, kill the shell which runs the command after execution. Default is False. Don't use any other kill command!" + } + }, + "required": [] + } + }, { "name": "submit_task", "description": "Submit your conclusion to the task", diff --git a/agentverse_command/main_tasksolving_cli.py b/agentverse_command/main_tasksolving_cli.py index 2382adf90..8e66fc9ae 100644 --- a/agentverse_command/main_tasksolving_cli.py +++ b/agentverse_command/main_tasksolving_cli.py @@ -3,7 +3,8 @@ # from agentverse.agentverse import AgentVerse from agentverse.tasksolving import TaskSolving -from agentverse.gui import GUI + +# from agentverse.gui import GUI from agentverse.logging import logger from argparse import ArgumentParser diff --git a/requirements.txt b/requirements.txt index e93df8d9f..adaa4834c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -18,3 +18,4 @@ rapidfuzz spacy colorama==0.4.6 fschat[model_worker,webui] +tiktoken==0.5.1 From 81a964cb4d5c9d387cfa8716fa189f5f3a74e7c8 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Fri, 27 Oct 2023 22:40:09 +0800 Subject: [PATCH 078/101] doc: update readme on multi-agent tool using. --- README.md | 56 +++++++++++++++++++++++------------- agentverse/initialization.py | 5 ++-- 2 files changed, 39 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 5ee8b3adc..55b1eef04 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ HuggingFace - + Discord @@ -201,13 +201,24 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 - [Contents](#contents) - [🚀 Getting Started](#-getting-started) - [Installation](#installation) - - [Simulation CLI Example](#simulation) - - [Task-Solving CLI Example](#task-solving) + - [Environment Variables](#environment-variables) + - [Simulation](#simulation) + - [Framework Required Modules](#framework-required-modules) + - [CLI Example](#cli-example) + - [GUI Example (Local)](#gui-example-local) + - [Task-Solving](#task-solving) + - [Framework Required Modules](#framework-required-modules-1) + - [CLI Example](#cli-example-1) +- [AgentVerse Showcases](#agentverse-showcases) + - [Simulation Showcases](#simulation-showcases) + - [Task-Solving Showcases](#task-solving-showcases) - [🌟 Join Us!](#-join-us) + - [Leaders](#leaders) + - [Contributors](#contributors) - [How Can You Contribute?](#how-can-you-contribute) -- [Social Media and Community](#social-media-and-community) + - [Social Media and Community](#social-media-and-community) - [Star History](#star-history) -- [Citation](#citation) + - [Citation](#citation) - [Contact](#contact) @@ -232,14 +243,11 @@ Or you can install through pip pip install -U agentverse ``` - -You also need to export your OpenAI API key as follows： +## Environment Variables +You need to export your OpenAI API key as follows： ```bash # Export your OpenAI API key export OPENAI_API_KEY="your_api_key_here" -# Or if you are using Azure -export AZURE_OPENAI_API_KEY="your_api_key_here" -export AZURE_OPENAI_API_BASE="your_api_base_here" ``` If you want use Azure OpenAI services, pleas export your Azure OpenAI key and OpenAI API base as follows： @@ -248,14 +256,6 @@ export AZURE_OPENAI_API_KEY="your_api_key_here" export AZURE_OPENAI_API_BASE="your_api_base_here" ``` -If you want to use the tools provided by BMTools, you need to install BMTools as follows: -```bash -git clone git+https://github.com/OpenBMB/BMTools.git -cd BMTools -pip install -r requirements.txt -python setup.py develop -``` - ## Simulation ### Framework Required Modules @@ -284,6 +284,14 @@ agentverse-simulation-gui --task simulation/nlp_classroom_9players ``` After successfully launching the local server, you can visit [http://127.0.0.1:7860/](http://127.0.0.1:7860/) to view the classroom environment. +If you want to run the simulation cases with tools (e.g., simulation/nlp_classroom_3players_withtool), you need to install BMTools as follows: +```bash +git clone git+https://github.com/OpenBMB/BMTools.git +cd BMTools +pip install -r requirements.txt +python setup.py develop +``` +This is optional. If you do not install BMTools, the simulation cases without tools can still run normally. ## Task-Solving @@ -313,7 +321,15 @@ To run AgentVerse on a specific problem, you can try agentverse-tasksolving --task tasksolving/brainstorming ``` -You can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. +To run the tool using cases presented in our paper, i.e., multi-agent using tools such as web browser, Jupyter notebook, bing search, etc., you can first build ToolsServer provided by [XAgent](https://github.com/OpenBMB/XAgent). You can follow their [instruction](https://github.com/OpenBMB/XAgent#%EF%B8%8F-build-and-setup-toolserver) to build and run the ToolServer. + +After building and launching the ToolServer, you can use the following command to run the task-solving cases with tools: +```shell +agentverse-tasksolving --task tasksolving/tool_using/24point +``` +We have provided more tasks in `agentverse/tasks/tasksolving/tool_using/` that show how multi-agent can use tools to solve problems. + +Also, you can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. # AgentVerse Showcases @@ -499,7 +515,7 @@ Also, if you're passionate about advancing the frontiers of multi-agent applicat - Twitter: https://twitter.com/Agentverse71134 -- Discord: https://discord.gg/MjG3vzaT. +- Discord: https://discord.gg/QyAmgpw2. - Hugging Face: https://huggingface.co/spaces/AgentVerse/agentVerse. diff --git a/agentverse/initialization.py b/agentverse/initialization.py index 13ef54e77..721bfe526 100644 --- a/agentverse/initialization.py +++ b/agentverse/initialization.py @@ -4,12 +4,13 @@ from typing import Dict, List, TYPE_CHECKING import yaml +from agentverse.logging import logger try: from bmtools.agent.singletool import import_all_apis, load_single_tools except: - print( - "BMTools is not installed, tools in the simulation environment cannot be used. To install BMTools, please follow the instruction in the README.md file." + logger.warn( + "BMTools is not installed, tools in the simulation environment cannot be used. To install BMTools, please follow the instruction in the README.md file. If you aren't running a *simulation* case with tool, you can ignore this warning." ) from agentverse.llms import llm_registry From 8ad97cbf7cbb6bd505d85adedaad0d209cb68724 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 30 Oct 2023 19:27:41 +0800 Subject: [PATCH 079/101] doc: update installation and dependency --- README.md | 11 +++++++++-- agentverse/llms/utils/token_counter.py | 2 +- requirements.txt | 3 +-- requirements_local.txt | 1 + setup.py | 6 ++++++ 5 files changed, 18 insertions(+), 5 deletions(-) create mode 100644 requirements_local.txt diff --git a/README.md b/README.md index 55b1eef04..78061ecce 100644 --- a/README.md +++ b/README.md @@ -228,13 +228,20 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 ## Installation + **Manually Install (Recommended!)** + +**Make sure you have Python >= 3.9** ```bash git clone https://github.com/OpenBMB/AgentVerse.git --depth 1 cd AgentVerse -python setup.py develop +pip install -e . +``` + +If you want to use AgentVerse with local models such as LLaMA, you need to additionally install some other dependencies: +```bash +pip install -r requirements_local.txt ``` -Some users have reported problems installing the `orjson` required by `gradio`. One simple workaround is to install it with Anaconda `conda install -c conda-forge orjson`. **Install with pip** diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py index cdff86ad9..8c35b16a3 100644 --- a/agentverse/llms/utils/token_counter.py +++ b/agentverse/llms/utils/token_counter.py @@ -5,7 +5,6 @@ from agentverse.logging import logger from agentverse.message import Message from agentverse.llms import LOCAL_LLMS -from transformers import AutoTokenizer def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int: @@ -29,6 +28,7 @@ def count_message_tokens( tokens_per_name = 1 encoding_model = "gpt-4" elif model in LOCAL_LLMS: + from transformers import AutoTokenizer encoding = AutoTokenizer.from_pretrained(model) else: raise NotImplementedError( diff --git a/requirements.txt b/requirements.txt index adaa4834c..0a93efec9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,7 +2,7 @@ pyyaml fastapi==0.95.1 uvicorn py3langid -iso-639 +setuptools-scm openai==0.27.8 opencv-python==4.8.0.76 gradio @@ -17,5 +17,4 @@ colorlog rapidfuzz spacy colorama==0.4.6 -fschat[model_worker,webui] tiktoken==0.5.1 diff --git a/requirements_local.txt b/requirements_local.txt new file mode 100644 index 000000000..1acb9614e --- /dev/null +++ b/requirements_local.txt @@ -0,0 +1 @@ +fschat[model_worker,webui] diff --git a/setup.py b/setup.py index 49034aae3..896c1e483 100644 --- a/setup.py +++ b/setup.py @@ -5,6 +5,9 @@ with open("requirements.txt", "r") as f: requirements = f.read().splitlines() +with open("requirements_local.txt", "r") as f: + requirements_local = f.read().splitlines() + with open("README.md", "r", encoding='utf8') as fh: long_description = fh.read() @@ -38,6 +41,9 @@ # "langchain", # ], install_requires=requirements, + extras_require={ + 'local': requirements_local + }, include_package_data = True, entry_points={ "console_scripts": [ From 067aae4160f6c397472d2cd23b3aa508b711f027 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 31 Oct 2023 12:58:11 +0800 Subject: [PATCH 080/101] fix: remove debugging code. [ci skip] --- agentverse/memory/chat_history.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/agentverse/memory/chat_history.py b/agentverse/memory/chat_history.py index e4bc508a6..9d07b18ce 100644 --- a/agentverse/memory/chat_history.py +++ b/agentverse/memory/chat_history.py @@ -117,9 +117,6 @@ async def to_messages( prompt, messages, max_send_token, model ) if trimmed_history: - import pdb - - pdb.set_trace() new_summary_msg, _ = await self.trim_messages( list(prompt), model, messages ) From b0eeeea7a3c655e517d236c12c0381c03f35ced6 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 7 Nov 2023 11:00:17 +0800 Subject: [PATCH 081/101] fix: update outdated configs and fix logging #95 --- agentverse/agents/base.py | 3 +- .../simulation_agent/prisoner_dilemma.py | 14 +++---- agentverse/agents/simulation_agent/tool.py | 19 ++++----- .../environments/simulation_env/pokemon.py | 4 +- .../simulation_env/rules/order/classroom.py | 4 +- .../environments/simulation_env/sde_team.py | 3 +- .../simulation_env/sde_team_given_tests.py | 4 +- agentverse/llms/openai.py | 6 +-- agentverse/output_parser/output_parser.py | 39 +++++++++++++------ .../math_problem_2players_tools/config.yaml | 8 ++-- .../config.yaml | 13 +++---- .../nlp_classroom_9players_group/config.yaml | 22 +++++------ agentverse/utils/prompts.py | 4 +- 13 files changed, 80 insertions(+), 63 deletions(-) diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py index 1cc2cbb49..e17b94a50 100644 --- a/agentverse/agents/base.py +++ b/agentverse/agents/base.py @@ -6,6 +6,7 @@ from pydantic import BaseModel, Field from agentverse.llms import BaseLLM +from agentverse.logging import logger from agentverse.llms.utils import count_string_tokens from agentverse.memory import BaseMemory, ChatHistoryMemory from agentverse.message import Message @@ -106,7 +107,7 @@ def remove_receiver(self, receiver: Union[Set[str], str]) -> None: try: self.receiver.remove(receiver) except KeyError as e: - logging.warning(f"Receiver {receiver} not found.") + logger.warn(f"Receiver {receiver} not found.") elif isinstance(receiver, set): self.receiver = self.receiver.difference(receiver) else: diff --git a/agentverse/agents/simulation_agent/prisoner_dilemma.py b/agentverse/agents/simulation_agent/prisoner_dilemma.py index bf257c168..5a8674222 100644 --- a/agentverse/agents/simulation_agent/prisoner_dilemma.py +++ b/agentverse/agents/simulation_agent/prisoner_dilemma.py @@ -1,10 +1,10 @@ from __future__ import annotations -import logging from string import Template from typing import TYPE_CHECKING, List from agentverse.message import Message +from agentverse.logging import logger # from . import agent_registry # from .base import BaseAgent @@ -30,12 +30,12 @@ def step( parsed_response = self.output_parser.parse(self, environment, response) break except Exception as e: - logging.error(e) - logging.warning("Retrying...") + logger.error(e) + logger.warn("Retrying...") continue if parsed_response is None: - logging.error(f"{self.name} failed to generate valid response.") + logger.error(f"{self.name} failed to generate valid response.") message = Message( content="" @@ -59,12 +59,12 @@ async def astep( parsed_response = self.output_parser.parse(self, environment, response) break except Exception as e: - logging.error(e) - logging.warning("Retrying...") + logger.error(e) + logger.warn("Retrying...") continue if parsed_response is None: - logging.error(f"{self.name} failed to generate valid response.") + logger.error(f"{self.name} failed to generate valid response.") message = Message( content="" diff --git a/agentverse/agents/simulation_agent/tool.py b/agentverse/agents/simulation_agent/tool.py index 6833a22a1..4bb0e7181 100644 --- a/agentverse/agents/simulation_agent/tool.py +++ b/agentverse/agents/simulation_agent/tool.py @@ -1,4 +1,3 @@ -import logging from string import Template from typing import List, NamedTuple, Optional, Union @@ -9,13 +8,15 @@ from agentverse.memory import BaseMemory, ChatHistoryMemory from agentverse.message import Message from agentverse.utils import AgentAction, AgentFinish +from agentverse.logging import logger -#from . import agent_registry -#from .base import BaseAgent +# from . import agent_registry +# from .base import BaseAgent from agentverse.agents import agent_registry from agentverse.agents.base import BaseAgent + class ToolNotExistError(BaseException): """Exception raised when parsing output from a command fails.""" @@ -50,14 +51,14 @@ def step(self, env_description: str = "") -> Message: ) break except BaseException as e: - logging.error(e) - logging.warning("Retrying...") + logger.error(e) + logger.warn("Retrying...") continue if parsed_response is None or isinstance(parsed_response, AgentFinish): break if parsed_response is None: - logging.error(f"{self.name} failed to generate valid response.") + logger.error(f"{self.name} failed to generate valid response.") self._update_tool_memory(tool_observation) @@ -92,14 +93,14 @@ async def astep(self, env_description: str = "") -> Message: ) break except BaseException as e: - logging.error(e) - logging.warning("Retrying...") + logger.error(e) + logger.warn("Retrying...") continue if parsed_response is None or isinstance(parsed_response, AgentFinish): break if parsed_response is None: - logging.error(f"{self.name} failed to generate valid response.") + logger.error(f"{self.name} failed to generate valid response.") self._update_tool_memory(tool_observation) diff --git a/agentverse/environments/simulation_env/pokemon.py b/agentverse/environments/simulation_env/pokemon.py index d62b32cf6..bec9684ae 100644 --- a/agentverse/environments/simulation_env/pokemon.py +++ b/agentverse/environments/simulation_env/pokemon.py @@ -1,10 +1,10 @@ import asyncio import datetime -import logging from typing import Any, Dict, List, Optional, Set # from agentverse.agents.agent import Agent from agentverse.agents.simulation_agent.conversation import BaseAgent +from agentverse.logging import logger # from agentverse.environments.simulation_env.rules.base import Rule from agentverse.environments.simulation_env.rules.base import SimulationRule as Rule @@ -167,7 +167,7 @@ def get_agent_to_location(self) -> Dict[str, str]: def print_messages(self, messages: List[Message]) -> None: for message in messages: if message is not None: - logging.info(f"{message.sender}: {message.content}") + logger.info(f"{message.sender}: {message.content}") def reset(self) -> None: """Reset the environment""" diff --git a/agentverse/environments/simulation_env/rules/order/classroom.py b/agentverse/environments/simulation_env/rules/order/classroom.py index dba459bee..1e2321a03 100644 --- a/agentverse/environments/simulation_env/rules/order/classroom.py +++ b/agentverse/environments/simulation_env/rules/order/classroom.py @@ -1,11 +1,11 @@ from __future__ import annotations -import logging import re from typing import TYPE_CHECKING, Any, List, Optional from . import order_registry as OrderRegistry from .base import BaseOrder +from agentverse.logging import logger if TYPE_CHECKING: from agentverse.environments import BaseEnvironment @@ -75,7 +75,7 @@ def get_next_agent_idx_grouped(self, environment: BaseEnvironment) -> List[int]: # `groups` should be set in the corresponding `visibility`, # and `group_speaker_mapping` should be maintained here. if "groups" not in environment.rule_params: - logging.warning( + logger.warn( "The environment is grouped, but the grouping information is not provided." ) groups = environment.rule_params.get( diff --git a/agentverse/environments/simulation_env/sde_team.py b/agentverse/environments/simulation_env/sde_team.py index 325c1eac0..474f979bb 100644 --- a/agentverse/environments/simulation_env/sde_team.py +++ b/agentverse/environments/simulation_env/sde_team.py @@ -4,6 +4,7 @@ import json from agentverse.agents.simulation_agent.conversation import BaseAgent +from agentverse.logging import logger # from agentverse.environments.simulation_env.rules.base import Rule from agentverse.environments.simulation_env.rules.base import SimulationRule as Rule @@ -116,7 +117,7 @@ async def step(self) -> List[Message]: def print_messages(self, messages: List[Message]) -> None: for message in messages: if message is not None: - logging.info(f"{message.sender}: {message.content}") + logger.info(f"{message.sender}: {message.content}") def reset(self) -> None: """Reset the environment""" diff --git a/agentverse/environments/simulation_env/sde_team_given_tests.py b/agentverse/environments/simulation_env/sde_team_given_tests.py index fdef4a863..b60a6ed65 100644 --- a/agentverse/environments/simulation_env/sde_team_given_tests.py +++ b/agentverse/environments/simulation_env/sde_team_given_tests.py @@ -1,5 +1,4 @@ import asyncio -import logging from typing import Any, Dict, List import json @@ -8,6 +7,7 @@ # from agentverse.environments.simulation_env.rules.base import Rule from agentverse.environments.simulation_env.rules.base import SimulationRule as Rule from agentverse.message import Message +from agentverse.logging import logger from .. import env_registry as EnvironmentRegistry from ..base import BaseEnvironment @@ -104,7 +104,7 @@ async def step(self) -> List[Message]: def print_messages(self, messages: List[Message]) -> None: for message in messages: if message is not None: - logging.info(f"{message.sender}: {message.content}") + logger.info(f"{message.sender}: {message.content}") def reset(self) -> None: """Reset the environment""" diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 1331d9155..72669fc59 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -22,7 +22,7 @@ from openai.error import OpenAIError except ImportError: is_openai_available = False - logging.warning("openai package is not installed") + logger.warn("openai package is not installed") else: # openai.proxy = os.environ.get("http_proxy") # if openai.proxy is None: @@ -37,7 +37,7 @@ openai.api_version = "2023-05-15" is_openai_available = True else: - logging.warning( + logger.warn( "OpenAI API key is not set. Please set the environment variable OPENAI_API_KEY" ) is_openai_available = False @@ -110,7 +110,7 @@ def __init__(self, max_retry: int = 3, **kwargs): for k, v in args.items(): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: - logging.warning(f"Unused arguments: {kwargs}") + logger.warn(f"Unused arguments: {kwargs}") if args["model"] in LOCAL_LLMS: openai.api_base = "http://localhost:5000/v1" super().__init__(args=args, max_retry=max_retry) diff --git a/agentverse/output_parser/output_parser.py b/agentverse/output_parser/output_parser.py index 556d9ff6e..59cc47947 100644 --- a/agentverse/output_parser/output_parser.py +++ b/agentverse/output_parser/output_parser.py @@ -18,6 +18,7 @@ from agentverse.agents.base import BaseAgent from agentverse.environments.base import BaseEnvironment + class OutputParserError(Exception): """Exception raised when parsing output from a command fails.""" @@ -157,24 +158,38 @@ def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: class NlpClassroom9PlayersGroupParser(OutputParser): def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): + # cleaned_output = text.strip() + # cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + # cleaned_output = cleaned_output.split("\n") + # if not ( + # len(cleaned_output) == 2 + # and cleaned_output[0].startswith("Action:") + # and cleaned_output[1].startswith("Action Input:") + # ): + # raise OutputParserError(text) + # action = cleaned_output[0][len("Action:") :].strip() + # action_input = cleaned_output[1][len("Action Input:") :].strip() + action_result = re.findall(r"Action:(.+)", text) + result = re.findall(r"Action:(.+?)Action Input:(.+)", text, re.DOTALL) + if len(action_result) == 0: raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() + + action = action_result[0].strip() + if action not in ["Listen", "RaiseHand"]: + if len(result) == 0: + raise OutputParserError(text) + action_input = result[0][1].strip() + if action == "RaiseHand": + action_input = "" + if action == "Speak": return AgentFinish({"output": action_input}, text) - elif action in ["CallOn", "RaiseHand", "GroupDiscuss"]: + elif action in ["CallOn", "GroupDiscuss", "RaiseHand"]: return AgentFinish({"output": f"[{action}] {action_input}"}, text) - elif action == "Listen": + elif action in ["Listen"]: return AgentFinish({"output": ""}, text) else: + action_input = result[0][1].strip() return AgentAction(action, action_input, text) diff --git a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml index 6e154b9d2..0bc9e29ab 100644 --- a/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml +++ b/agentverse/tasks/simulation/math_problem_2players_tools/config.yaml @@ -94,8 +94,8 @@ agents: prompt_template: *prompt verbose: true llm: - llm_type: text-davinci-003 - model: text-davinci-003 + llm_type: gpt-4 + model: gpt-4 temperature: 0.7 max_tokens: 250 output_parser: @@ -110,8 +110,8 @@ agents: prompt_template: *prompt verbose: true llm: - llm_type: text-davinci-003 - model: text-davinci-003 + llm_type: gpt-4 + model: gpt-4 temperature: 0.7 max_tokens: 250 output_parser: diff --git a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml index 336c7e25e..762085b9a 100644 --- a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml @@ -155,9 +155,8 @@ agents: 5. Provide an envision towards the future development of neural networks. Your goal is to ensure that the students understand the material, so it's important to speak slowly and clearly. You don't necessarily have to strictly follow the course outline when teaching, you can also talk about some other relevant topics. Remember, in each round of conversation, your response should only address one topic at most. Please take your time and don't rush through the content. prompt_template: *professor_prompt - llm: - llm_type: text-davinci-003 - model: text-davinci-003 + ll gpt-4 + model: gpt-4 temperature: 0.7 max_tokens: 250 output_parser: @@ -180,8 +179,8 @@ agents: prompt_template: *summary_prompt recursive: true llm: - llm_type: text-davinci-003 - model: text-davinci-003 + llm_type: gpt-4 + model: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -203,8 +202,8 @@ agents: prompt_template: *summary_prompt recursive: true llm: - llm_type: text-davinci-003 - model: text-davinci-003 + llm_type: gpt-4 + model: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: diff --git a/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml b/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml index b8d9d0319..89d840dfd 100644 --- a/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_9players_group/config.yaml @@ -43,11 +43,11 @@ prompts: - During class, it's recommended that you listen to the professor by responding: Action: Listen - Action Input: None + Action Input: listen - If you have a question that you think it's worth discussing in class, you should first raise your hand using the following format to let the professor notice you: Action: RaiseHand - Action Input: None + Action Input: raise hand if the professor does call on your name, you MUST speak or ask a question, and use the following format: Action: Speak @@ -115,7 +115,7 @@ agents: When teaching, it's not necessary to strictly adhere to the course outline. You can also incorporate other relevant topics into your lectures. It's important to take your time and not rush through the content, explaining each topic carefully and ensuring that your students fully grasp the material. prompt_template: *professor_prompt llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 250 output_parser: @@ -130,7 +130,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -143,7 +143,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -156,7 +156,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -169,7 +169,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -182,7 +182,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -195,7 +195,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -208,7 +208,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: @@ -221,7 +221,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: text-davinci-003 + llm_type: gpt-4 temperature: 0.7 max_tokens: 100 output_parser: diff --git a/agentverse/utils/prompts.py b/agentverse/utils/prompts.py index e9824ecbc..e7be8aa8f 100644 --- a/agentverse/utils/prompts.py +++ b/agentverse/utils/prompts.py @@ -1,6 +1,6 @@ import json import os -import logging +from agentverse.logging import logger base_prompt = { @@ -208,5 +208,5 @@ def load_prompt(file_dir, file_name="prompts.json", key=None): prompt = base_prompt.get(key, "") if prompt == "": - logging.warning(f"No prompt of {key} has been found") + logger.warn(f"No prompt of {key} has been found") return prompt From 42e579960df811daf854f9a4d401a1f29ffcf45c Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 7 Nov 2023 15:48:13 +0800 Subject: [PATCH 082/101] fix: some bugs in config file --- .../simulation/nlp_classroom_3players_withtool/config.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml index 762085b9a..6babc1ed8 100644 --- a/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml +++ b/agentverse/tasks/simulation/nlp_classroom_3players_withtool/config.yaml @@ -155,7 +155,8 @@ agents: 5. Provide an envision towards the future development of neural networks. Your goal is to ensure that the students understand the material, so it's important to speak slowly and clearly. You don't necessarily have to strictly follow the course outline when teaching, you can also talk about some other relevant topics. Remember, in each round of conversation, your response should only address one topic at most. Please take your time and don't rush through the content. prompt_template: *professor_prompt - ll gpt-4 + llm: + llm_type: gpt-4 model: gpt-4 temperature: 0.7 max_tokens: 250 From 38cc5731a71290f7f9876766801d7cc8136a1732 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Tue, 7 Nov 2023 16:23:44 +0800 Subject: [PATCH 083/101] feat: improve local model support and doc #96 --- README.md | 35 +++++++++++++++++-- agentverse/llms/__init__.py | 15 +++++++- agentverse/llms/openai.py | 2 +- agentverse/llms/utils/token_counter.py | 7 ++-- .../commongen/llama-2-7b-chat-hf/config.yaml | 20 +++++------ scripts/run_local_model_server.sh | 9 +++-- 6 files changed, 66 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 78061ecce..a79477c91 100644 --- a/README.md +++ b/README.md @@ -205,10 +205,14 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 - [Simulation](#simulation) - [Framework Required Modules](#framework-required-modules) - [CLI Example](#cli-example) - - [GUI Example (Local)](#gui-example-local) + - [GUI Example](#gui-example) - [Task-Solving](#task-solving) - [Framework Required Modules](#framework-required-modules-1) - [CLI Example](#cli-example-1) + - [Local Model Support](#local-model-support) + - [1. Install the Additional Dependencies](#1-install-the-additional-dependencies) + - [2. Launch the Local Server](#2-launch-the-local-server) + - [3. Modify the Config File](#3-modify-the-config-file) - [AgentVerse Showcases](#agentverse-showcases) - [Simulation Showcases](#simulation-showcases) - [Task-Solving Showcases](#task-solving-showcases) @@ -282,7 +286,7 @@ You can create a multi-agent environments provided by us. Using the classroom sc agentverse-simulation --task simulation/nlp_classroom_9players ``` -### GUI Example (Local) +### GUI Example We also provide a local website demo for this environment. You can launch it with @@ -338,6 +342,33 @@ We have provided more tasks in `agentverse/tasks/tasksolving/tool_using/` that s Also, you can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. +## Local Model Support +### 1. Install the Additional Dependencies +If you want to use local models such as LLaMA, you need to additionally install some other dependencies: +```bash +pip install -r requirements_local.txt +``` + +### 2. Launch the Local Server +Then modify the `MODEL_PATH` and `MODEL_NAME` according to your need to launch the local server with the following command: +```bash +bash scripts/run_local_model_server.sh +``` +The script will launch a service for Llama 7B chat model. +The `MODEL_NAME` in AgentVerse currently supports several models including `llama-2-7b-chat-hf`, `llama-2-13b-chat-hf`, `llama-2-70b-chat-hf`, `vicuna-7b-v1.5`, and `vicuna-13b-v1.5`. If you wish to integrate additional models that are [compatible with FastChat](https://github.com/lm-sys/FastChat/blob/main/docs/model_support.md), you need to: +1. Add the new `MODEL_NAME` into the `LOCAL_LLMS` within `agentverse/llms/__init__.py`. Furthermore, establish +2. Add the mapping from the new `MODEL_NAME` to its corresponding Huggingface identifier in the `LOCAL_LLMS_MAPPING` within the `agentverse/llms/__init__.py` file. + +### 3. Modify the Config File +In your config file, set the `llm_type` to `local` and `model` to the `MODEL_NAME`. For example +```yaml +llm: + llm_type: local + model: llama-2-7b-chat-hf + ... +``` + +You can refer to `agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml` for a more detailed example. # AgentVerse Showcases diff --git a/agentverse/llms/__init__.py b/agentverse/llms/__init__.py index 0902d3116..b623e6234 100644 --- a/agentverse/llms/__init__.py +++ b/agentverse/llms/__init__.py @@ -1,7 +1,20 @@ from agentverse.registry import Registry llm_registry = Registry(name="LLMRegistry") -LOCAL_LLMS = ["llama-2-7b-chat-hf"] +LOCAL_LLMS = [ + "llama-2-7b-chat-hf", + "llama-2-13b-chat-hf", + "llama-2-70b-chat-hf", + "vicuna-7b-v1.5", + "vicuna-13b-v1.5", +] +LOCAL_LLMS_MAPPING = { + "llama-2-7b-chat-hf": "meta-llama/Llama-2-7b-chat-hf", + "llama-2-13b-chat-hf": "meta-llama/Llama-2-13b-chat-hf", + "llama-2-70b-chat-hf": "meta-llama/Llama-2-70b-chat-hf", + "vicuna-7b-v1.5": "lmsys/vicuna-7b-v1.5", + "vicuna-13b-v1.5": "lmsys/vicuna-13b-v1.5", +} from .base import BaseLLM, BaseChatModel, BaseCompletionModel, LLMResult from .openai import OpenAIChat diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 72669fc59..700c826b5 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -97,7 +97,7 @@ class OpenAIChatArgs(BaseModelArgs): @llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") -@llm_registry.register("llama-2-7b-chat-hf") +@llm_registry.register("local") class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py index 8c35b16a3..b594011b7 100644 --- a/agentverse/llms/utils/token_counter.py +++ b/agentverse/llms/utils/token_counter.py @@ -4,7 +4,7 @@ from typing import List, Union, Dict from agentverse.logging import logger from agentverse.message import Message -from agentverse.llms import LOCAL_LLMS +from agentverse.llms import LOCAL_LLMS, LOCAL_LLMS_MAPPING def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int: @@ -27,9 +27,10 @@ def count_message_tokens( tokens_per_message = 3 tokens_per_name = 1 encoding_model = "gpt-4" - elif model in LOCAL_LLMS: + elif model.lower() in LOCAL_LLMS or model in LOCAL_LLMS: from transformers import AutoTokenizer - encoding = AutoTokenizer.from_pretrained(model) + + encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]) else: raise NotImplementedError( f"count_message_tokens() is not implemented for model {model}.\n" diff --git a/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml b/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml index 8514b1004..5e3ff2ac5 100644 --- a/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml +++ b/agentverse/tasks/tasksolving/commongen/llama-2-7b-chat-hf/config.yaml @@ -96,8 +96,8 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf - model: "llama-2-7b-chat-hf" + llm_type: local + model: llama-2-7b-chat-hf temperature: 0 max_tokens: 512 output_parser: @@ -113,8 +113,8 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf - model: "llama-2-7b-chat-hf" + llm_type: local + model: llama-2-7b-chat-hf temperature: 0 max_tokens: 1024 output_parser: @@ -138,8 +138,8 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf - model: "llama-2-7b-chat-hf" + llm_type: local + model: llama-2-7b-chat-hf temperature: 0 max_tokens: 1024 output_parser: @@ -154,7 +154,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf + llm_type: local model: llama-2-7b-chat-hf temperature: 0 max_tokens: 1024 @@ -172,7 +172,7 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf + llm_type: local model: llama-2-7b-chat-hf temperature: 0.3 max_tokens: 1024 @@ -189,8 +189,8 @@ agents: memory: memory_type: chat_history llm: - llm_type: llama-2-7b-chat-hf - model: "llama-2-7b-chat-hf" + llm_type: local + model: llama-2-7b-chat-hf temperature: 0 max_tokens: 1024 output_parser: diff --git a/scripts/run_local_model_server.sh b/scripts/run_local_model_server.sh index 0d16fb901..2ea115506 100644 --- a/scripts/run_local_model_server.sh +++ b/scripts/run_local_model_server.sh @@ -1,9 +1,8 @@ -:< Date: Tue, 7 Nov 2023 20:42:55 -0500 Subject: [PATCH 084/101] doc: Update config.yaml typo [ci skip] --- agentverse/tasks/tasksolving/brainstorming/config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agentverse/tasks/tasksolving/brainstorming/config.yaml b/agentverse/tasks/tasksolving/brainstorming/config.yaml index 82be06bcd..873e08a07 100644 --- a/agentverse/tasks/tasksolving/brainstorming/config.yaml +++ b/agentverse/tasks/tasksolving/brainstorming/config.yaml @@ -17,7 +17,7 @@ prompts: What experts will you recruit to better generate good ideas? Output format example: - 1. an electrical engineer specified in the filed of xxx + 1. an electrical engineer specified in the field of xxx 2. an economist who is good at xxx 3. a lawyer with a good knowledge of xxx ... From 2e59ccb77642f5facfb61dbee4f1cd4d74849d3f Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Wed, 8 Nov 2023 10:43:37 +0900 Subject: [PATCH 085/101] doc: Fix typo in README.md (#90) [ci skip] --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a79477c91..437f47016 100644 --- a/README.md +++ b/README.md @@ -64,7 +64,7 @@ Applications: software development system, consulting system, etc. - [2023/10/5] Re-factor our codebase to enable the deployment of both simulation and task-solving framework! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! -- [2023/8/22] We're excited to share our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) that illistrate the task-solving framework +- [2023/8/22] We're excited to share our paper [AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents](https://arxiv.org/abs/2308.10848) that illustrate the task-solving framework in detail of AgentVerse. - [2023/6/5] We are thrilled to present an array of [demos](#-simple-demo-video), including [NLP Classroom](#nlp-classroom), [Prisoner Dilemma](#prisoner-dilemma), [Software Design](#software-design), [Database Administrator](#database-administrator-dba), and a simple [H5 Pokemon Game](#pokemon) that enables the interaction with the characters in Pokemon! Try out these demos and have fun! From d8825665c032295b51fa2b1d06d44e68b5453abd Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Wed, 8 Nov 2023 10:43:54 +0900 Subject: [PATCH 086/101] doc: update README.md (#92) [ci skip] --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 437f47016..e21a03f25 100644 --- a/README.md +++ b/README.md @@ -261,7 +261,7 @@ You need to export your OpenAI API key as follows： export OPENAI_API_KEY="your_api_key_here" ``` -If you want use Azure OpenAI services, pleas export your Azure OpenAI key and OpenAI API base as follows： +If you want use Azure OpenAI services, please export your Azure OpenAI key and OpenAI API base as follows： ```bash export AZURE_OPENAI_API_KEY="your_api_key_here" export AZURE_OPENAI_API_BASE="your_api_base_here" From 255728309c8ed2f1ae3cdfbb6ba37defb3a8fc13 Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Fri, 10 Nov 2023 12:46:33 +0800 Subject: [PATCH 087/101] doc: update README.md [ci skip] --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e21a03f25..7f3112c87 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ HuggingFace - + Discord @@ -553,7 +553,7 @@ Also, if you're passionate about advancing the frontiers of multi-agent applicat - Twitter: https://twitter.com/Agentverse71134 -- Discord: https://discord.gg/QyAmgpw2. +- Discord: https://discord.gg/gDAXfjMw. - Hugging Face: https://huggingface.co/spaces/AgentVerse/agentVerse. From abacf5a55519bc3baa0adce008e96d48edd4f956 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Sun, 12 Nov 2023 23:17:58 +0800 Subject: [PATCH 088/101] fix: encoding for local llm. #100 --- agentverse/llms/utils/token_counter.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py index b594011b7..94125ad73 100644 --- a/agentverse/llms/utils/token_counter.py +++ b/agentverse/llms/utils/token_counter.py @@ -8,7 +8,12 @@ def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int: - return len(tiktoken.encoding_for_model(model).encode(prompt)) + if model.startswith("gpt-3.5-turbo") or model.startswith("gpt-4"): + return len(tiktoken.encoding_for_model(model).encode(prompt)) + elif model.lower() in LOCAL_LLMS or model in LOCAL_LLMS: + from transformers import AutoTokenizer + encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]) + return len(encoding.encode(prompt)) def count_message_tokens( From ffc3d39d9989a8ef84a263c72e94aabca9b52cb3 Mon Sep 17 00:00:00 2001 From: Yusheng Su Date: Mon, 13 Nov 2023 01:20:38 +0400 Subject: [PATCH 089/101] Update README.md --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7f3112c87..f485f5c95 100644 --- a/README.md +++ b/README.md @@ -37,13 +37,17 @@

- 【English | Chinese】 + 【Paper】 +

+ +

+ 【English | Chinese】

**AgentVerse** is designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: **task-solving** and **simulation**. - Task-solving: This framework assembles multiple agents as an automatic multi-agent system ([AgentVerse-Tasksolving](https://arxiv.org/pdf/2308.10848.pdf), [Multi-agent as system](https://arxiv.org/abs/2309.02427)) to collaboratively accomplish the corresponding tasks. -Applications: software development system, consulting system, etc. +Applications: software development system, consulting system, etc.

Screen Shot 2023-09-01 at 12 08 57 PM From c16ee0a755cae66d11aef2d51bfedd5cccf82ae6 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 13 Nov 2023 14:23:39 +0800 Subject: [PATCH 090/101] fix: local llm support #100 --- agentverse/llms/openai.py | 1 + scripts/run_local_model_server.sh | 10 +++++++--- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 700c826b5..c119dcd80 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -113,6 +113,7 @@ def __init__(self, max_retry: int = 3, **kwargs): logger.warn(f"Unused arguments: {kwargs}") if args["model"] in LOCAL_LLMS: openai.api_base = "http://localhost:5000/v1" + openai.api_key = "EMPTY" super().__init__(args=args, max_retry=max_retry) @classmethod diff --git a/scripts/run_local_model_server.sh b/scripts/run_local_model_server.sh index 2ea115506..b4c2cfe73 100644 --- a/scripts/run_local_model_server.sh +++ b/scripts/run_local_model_server.sh @@ -3,8 +3,12 @@ # export CUDA_VISIBLE_DEVICES=0 MODEL_PATH="meta-llama/Llama-2-7b-chat-hf" # path_to_the_downloaded_model_dir MODEL_NAME="llama-2-7b-chat-hf" # name_of_the_model -python3 -m fastchat.serve.controller & \ +CONTROLLER_PORT=20002 +python3 -m fastchat.serve.controller --host 127.0.0.1 --port ${CONTROLLER_PORT} & \ python3 -m fastchat.serve.multi_model_worker \ --model-path ${MODEL_PATH} \ - --model-names ${MODEL_NAME} & \ -python3 -m fastchat.serve.openai_api_server --host localhost --port 5000 + --model-names ${MODEL_NAME} \ + --host 127.0.0.1 \ + --controller-address http://127.0.0.1:${CONTROLLER_PORT} \ + --worker-address http://127.0.0.1:21002 & \ +python3 -m fastchat.serve.openai_api_server --host 127.0.0.1 --port 5000 --controller-address http://127.0.0.1:${CONTROLLER_PORT} From d434c5a845491e40ff269a2a4cad60ec0b94b066 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 15 Nov 2023 16:42:53 +0800 Subject: [PATCH 091/101] fix: output parser error in demo case [ci skip] --- agentverse/output_parser/output_parser.py | 33 ++++++++++++++++------- 1 file changed, 23 insertions(+), 10 deletions(-) diff --git a/agentverse/output_parser/output_parser.py b/agentverse/output_parser/output_parser.py index 59cc47947..980299292 100644 --- a/agentverse/output_parser/output_parser.py +++ b/agentverse/output_parser/output_parser.py @@ -131,17 +131,30 @@ def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: class NlpClassroom9PlayersParser(OutputParser): def parse(self, output: LLMResult) -> Union[AgentAction, AgentFinish]: text = output.content - cleaned_output = text.strip() - cleaned_output = re.sub(r"\n+", "\n", cleaned_output) - cleaned_output = cleaned_output.split("\n") - if not ( - len(cleaned_output) == 2 - and cleaned_output[0].startswith("Action:") - and cleaned_output[1].startswith("Action Input:") - ): + # cleaned_output = text.strip() + # cleaned_output = re.sub(r"\n+", "\n", cleaned_output) + # cleaned_output = cleaned_output.split("\n") + # if not ( + # len(cleaned_output) == 2 + # and cleaned_output[0].startswith("Action:") + # and cleaned_output[1].startswith("Action Input:") + # ): + # raise OutputParserError(text) + # action = cleaned_output[0][len("Action:") :].strip() + # action_input = cleaned_output[1][len("Action Input:") :].strip() + action_result = re.findall(r"Action:(.+)", text) + result = re.findall(r"Action:(.+?)Action Input:(.+)", text, re.DOTALL) + if len(action_result) == 0: raise OutputParserError(text) - action = cleaned_output[0][len("Action:") :].strip() - action_input = cleaned_output[1][len("Action Input:") :].strip() + + action = action_result[0].strip() + if action not in ["Listen", "RaiseHand"]: + if len(result) == 0: + raise OutputParserError(text) + action_input = result[0][1].strip() + if action == "RaiseHand": + action_input = "" + if action == "Speak": return AgentFinish({"output": action_input}, text) elif action == "CallOn": From 1c92dbe58a9808bf5ff336b1398b3dbf3b145eca Mon Sep 17 00:00:00 2001 From: lelo <32453496+elolelo@users.noreply.github.com> Date: Mon, 20 Nov 2023 07:53:00 +0000 Subject: [PATCH 092/101] doc: add a simple documentation (#91) * added some parts of documentation * Updatde documentation --- documentation/index.html | 570 +++++++++++++++++++++++++++++++ documentation/style.css | 139 ++++++++ imgs/agentverse | Bin 0 -> 257896 bytes imgs/docs/Python-virtual-env.png | Bin 0 -> 116372 bytes imgs/docs/environmentKeys.png | Bin 0 -> 108145 bytes imgs/docs/prisoner_env.png | Bin 0 -> 238236 bytes imgs/docs/simulations.png | Bin 0 -> 348214 bytes imgs/docs/ts_env.png | Bin 0 -> 290426 bytes 8 files changed, 709 insertions(+) create mode 100644 documentation/index.html create mode 100644 documentation/style.css create mode 100644 imgs/agentverse create mode 100644 imgs/docs/Python-virtual-env.png create mode 100644 imgs/docs/environmentKeys.png create mode 100644 imgs/docs/prisoner_env.png create mode 100644 imgs/docs/simulations.png create mode 100644 imgs/docs/ts_env.png diff --git a/documentation/index.html b/documentation/index.html new file mode 100644 index 000000000..ac7d4a0b7 --- /dev/null +++ b/documentation/index.html @@ -0,0 +1,570 @@ + + + + + + + Documentation:Agentverse + + + + + +

+
+
+
+ +

Introduction: AgentVerse

+

+ 🤖 AgentVerse 🪐
+ Think of it as a universe for LLM agents. +
It is designed to facilitate the deployment of multiple LLM-based agents in various applications, which + primarily provides two frameworks: task-solving and simulation + Introduce how to run an example successfully in CLI mode and in GUI mode +

+

+ The codebase contained facilitates the creation and simulation of multi-agent systems, potentially incorporating language models for agent interactions. +

+ +
+
+ +
+

Requirements

+
+

This documentation assumes you have the following:

+
    +
  • AgentVerse github repo
    • +
  • A Python virtual environment setup
    • +
  • + A working OpenAI API key +
    • +
  • Good working knowledge of Python
    • +
  • + Some experience of web development +
    • +
  • + Knowledge and understanding of yaml +
    • +
  • + Interest or a general understanding of LLM's +
    • +
  • + Knoweldge of github +
    • +
+ +
+
+ +
+

Installation

+
+ This section of the README has + details on how you can get up and running with installing this project. The steps below were used to install it + on Windows 10 using the recommended manually: + + Make sure you have Python >= 3.9 +
    +
  • Clone the AgentVerse github repo + git clone https://github.com/OpenBMB/AgentVerse.git --depth 1 + +
    • + + +
  • Navigate into the folder + cd AgentVerse +
    • + +
  • Install + pip install -e . +
    • + +
  • Optional: If you want to use AgentVerse with local models such as LLaMA, you need to additionally install some other dependencies: + pip install -r requirements_local.txt +
    • +

+ Another alternative to install is: + pip install -U agentverse +
+
+

This guide shows how to export environment variables. On windows, the screenshot below gives as example on how it can be done.

+ +
+ +
+
+
+ +
+

Simulations: Graphical User Interface

+
+
+ Simulations can either have a Graphical User Interface (GUI) or a Command Line Interface (CLI), some simulations + have both interfaces. Here are some showcases, examples of cli simulations can be found here and GUI simulations can be found here. +

+ The simulation agent located inside the agents folder which is inside the agentverse folder defines a + BaseAgent which is a Python class that serves as the foundation for other agent classes in the AgentVerse + framework. + The class includes attributes such as name, llm, output_parser, and methods like step, reset, etc. + The agent can interact with an environment and has methods for performing steps, asynchronous steps, and + memory management. + It provides functionality for managing prompts, receivers, spending, and memory-related operations. +
+ As part of the agent registry module in the AgentVerse framework there is an initialization file that imports + classes from various modules, including simulation agents (ConversationAgent, ToolAgent, etc.) and + task-solving agents (RoleAssignerAgent, CriticAgent, etc.). + The Registry class from agentverse.registry is used to manage and register agents.The file initializes an + instance of Registry named AgentRegistry for agent registration. + These files shown below collectively contribute to the structure and functionality of the AgentVerse + framework, providing a foundation for creating and managing different types of agents in both simulation and + task-solving scenarios. +

+
+
+ +
+
+
+
+ +
+

1. Prisoner's dilema


+
+ This class defines a PrisonerDilemaAgent within the AgentVerse framework. + This agent class is designed for simulating interactions in a Prisoner's Dilema scenario. + Additionally, subclasses PoliceAgent and PrisonerAgent inherit from PrisonerDilemaAgent, each representing a + specific role with additional role-specific information. + +
+ + Imports and Type Checking + : The from __future__ import annotations statement is used for postponed evaluation of type annotations. + The class also uses type hints, and there's a conditional import based on type checking to avoid circular + dependencies. +
Class Structure: The class PrisonerDilemaAgent inherits from BaseAgent and serves as a base for + agents involved in a Prisoner's Dilemma scenario. +
Methods: + step Represents a step in the agent's decision-making process within the environment. + astep An asynchronous version of step. + _fill_prompt_template A helper method to fill placeholders in the prompt template, including agent + name, environment description, role description, and chat history. + add_message_to_memory Adds messages to the agent's memory. + reset Resets the agent. +
+ Role-specific Subclasses The PoliceAgent and PrisonerAgent subclasses introduce role-specific behavior + and template filling. + + + +
+
+ + +
+
+
+ + + + +
+

Task solving agent - Command Line Interface


+
+

+ The base.py file located inside the task-solving agent folder, defines an abstract base class named BaseAgent within the AgentVerse framework. + This class represents the foundation for creating agents in a multi-agent system. Agents are entities capable of interacting with an environment, processing messages, and maintaining memory. +

Attributes: +

  • name (str): A unique identifier for the agent.
    • +
  • llm (BaseLLM): An instance of a language model that the agent uses for generating responses.
    • +
  • output_parser (OutputParser): An output parser that interprets the responses generated by the agent.
    • +
  • prepend_prompt_template (str): Template for the prompt to be prepended before generating a response.
    • +
  • append_prompt_template (str): Template for the prompt to be appended before generating a response.
    • +
  • prompt_template (str): Combined template for the entire prompt used in generating a response.
    • +
  • role_description (str): A description of the role of the agent.
    • +
  • memory (BaseMemory): Memory for storing chat history and other relevant information.
    • +
  • memory_manipulator (BaseMemoryManipulator): Manipulator for interacting with the agent's memory.
    • +
  • max_retry (int): The maximum number of retry attempts if an error occurs during response generation.
    • +
  • receiver (Set[str]): A set of identifiers representing the entities that can receive messages from the agent.
    • +
  • async_mode (bool): A flag indicating whether the agent operates in asynchronous mode.
    • + + + +
    Abstract Methods: +
  • step(self, env_description: str = "") -> Message: Abstract method to get one-step response.
    • +
  • astep(self, env_description: str = "") -> Message: Abstract asynchronous version of step.
    • +
  • reset(self) -> None: Abstract method to reset the agent.
    • +
  • add_message_to_memory(self, messages: List[Message]) -> None: Abstract method to add a message to the agent's memory.
    • + +
    Methods: +get_spend(self) -> float: Gets the spending of the agent (associated with language model usage). +get_spend_formatted(self) -> str: Gets the formatted spending of the agent. +get_all_prompts(self, **kwargs): Gets both prepend and append prompts along with the total number of tokens. +get_receiver(self) -> Set[str]: Gets the set of entities that can receive messages from the agent. +set_receiver(self, receiver: Union[Set[str], str]) -> None: Sets the receiver entities. +add_receiver(self, receiver: Union[Set[str], str]) -> None: Adds receiver entities. +remove_receiver(self, receiver: Union[Set[str], str]) -> None: Removes receiver entities. + +

    This base class provides a blueprint for creating agents in a multi-agent system. It encapsulates common attributes and methods that agents might use to interact with the environment, generate responses, and manage their memory. The abstract methods enforce the implementation of core functionalities in derived agent classes. The class is designed to be extended to create specialized agents tailored for specific tasks or environments within the AgentVerse framework. +

    +
    +
    + +
    +
    +
    + +
    +

    Simulation environment


    +
    + The simulation environments are defined in a class named BasicEnvironment within the AgentVerse framework. This + environment, labeled as "sim-basic" in the EnvironmentRegistry, serves as a foundational simulation environment + implementing the logic of conversation. It is designed to facilitate interactions between multiple agents based + on a set of rules. +

    Purpose: + + This class represents a basic simulation environment within the AgentVerse framework, implementing the logic of + conversation between agents. +
    Inheritance: + + Inherits from BaseEnvironment, providing a base class for custom environment implementations. +
    Registration: + + Registered in the EnvironmentRegistry under the name "sim-basic." +
    Attributes: +
  • agents: List of agents participating in the environment.
    • +
  • rule: Rule defining the logic of agent interactions.
    • +
  • max_turns: Maximum number of turns in the environment.
    • +
  • cnt_turn: Current turn number in the environment.
    • +
  • last_messages: Messages from the last turn.
    • +
  • rule_params: Variables set by the rule.
    • +
    Initialization: + + The class initializes with a rule, and additional configurations for order, visibility, selector, updater, and + describer aspects of the rule are extracted from the rule configuration. +
    Methods: + + step Asynchronously runs one step of the environment, involving obtaining the next agent index, + generating the current environment description, generating the next message from each agent, selecting certain + messages based on rules, updating agent memory, updating the set of visible agents, and incrementing the turn + count. + print_messages Logs the content of selected messages. + reset Resets the environment, setting the turn count to 0, resetting the rule, and calling the + reset method for each agent. + is_done Checks if the environment is done based on the current turn count. + This class provides a flexible and extensible foundation for creating various simulation environments within the + AgentVerse framework. It encapsulates the common logic for agent interactions, allowing for easy customization + and extension based on specific simulation requirements. +
    +
    The code snippet below shows an example of it's usage: +
    # Creating an instance of the BasicEnvironment + + basic_env = BasicEnvironment(rule=custom_rule, agents=[agent1, agent2]) + + # Running a step in the environment + + + resulting_messages = await basic_env.step() + +
    +
    +
    +
    +
    +

    Pokemon environment


    +
    + Pokemon enviroment defines a class named PokemonEnvironment within the AgentVerse framework. This environment, + labeled as "pokemon" in the EnvironmentRegistry and is designed for simulating a Pokémon-themed scenario. + It involves multiple agents located in different places, and the environment allows for interactions and + responses to a player's messages. +
    + Initialization: The class initializes with information about agents, their initial locations, a rule + governing the environment, and additional parameters. +
    Environment Steps: The step method simulates one step of the environment, allowing either routine + agent actions or responses to a player's input. +
    Internal Methods + _routine_step Simulates routine steps for non-player agents. + _respond_to_playerProcesses the player's input and triggers agent responses. + update_state Updates the state of agents based on their locations. + print_messagesLogs messages for debugging or information. + resetResets the environment to its initial state. + is_done Checks if the environment simulation is completed. + get_test_messages Returns a set of test messages for demonstration. + +
    +
    +
    +
    +
    +
    +

    Prisoner's dilema


    +
    + PrisonerDilemmaEnvironment, which is a specific environment implementation within the AgentVerse framework. This + environment is designed for simulating a scenario related to the prisoner's dilemma. The class inherits from + BasicEnvironment and is registered in the EnvironmentRegistry with the label "prisoner_dilemma." + The purpose of this class is to represent an environment for simulating the prisoner's dilemma, a classic + problem in game theory. +
    -It inherits from BasicEnvironment, providing a foundation for custom environment implementations. +
    -It is registered in the EnvironmentRegistry under the label "prisoner_dilemma." +
    -It asynchronously runs one step of the environment simulation. It involves obtaining the next agent index, + generating the current environment description, generating the next message from each agent, selecting certain + messages based on rules, updating agent memory, updating the set of visible agents, and incrementing the turn + count. +
    -It inherits attributes and methods from BasicEnvironment.and it utilizes a specific rule (SimulationRule) + for governing agent interactions in the environment. +
    -For asynchronous execution it utilizes asynchronous programming with asyncio.gather to concurrently + execute agent steps. + This class is registered in the EnvironmentRegistry under the name "prisoner_dilemma," facilitating easy + retrieval and instantiation. +
    +
    + The screenshot below shows the location of the Prisoner's dilema's class +
    +
    + + +
    +
    +
    +
    +
    +

    Software Development Environment Team


    +
    + This file defines a class named SdeTeamEnvironment within the AgentVerse framework. This environment class is + designed for simulating interactions in a software development environment where a team collaborates to craft + code. It extends the BaseEnvironment class and includes specific rules and behaviors for the given context. +
    + Imports The class includes necessary imports for asynchronous operations, logging, typing, and JSON + handling. +
    Class Structure: The class SdeTeamEnvironment is registered in the EnvironmentRegistry as the + environment for simulating software development teams. +
    Attributes: + agents: List of BaseAgent instances representing team members. +
  • rule
    • - Rule for the environment. +
  • max_turns
    • - Maximum number of turns for the simulation. +
  • cnt_turn
    • - Current turn number. +
  • last_messages
    • - Messages from the last turn. +
  • rule_params
    • - Variables set by the rule. +
  • task_name
    • - A string representing the name of the task or project (default is "test"). + +
    Methods + Constructor (__init__) + Initializes the environment with a specified rule and other optional parameters. It configures the rule based on + provided configurations for order, visibility, selector, updater, and describer. + +
    step Method + + Purpose: Runs one step of the environment simulation. + Steps +
  • Gets the next agent index based on the order rule.
    • +
  • Generates the next message asynchronously for each agent.
    • +
  • Selects certain messages based on the selector rule.
    • +
  • Updates memory of the agents using the updater rule.
    • +
  • Updates the set of visible agents for each agent.
    • +
  • Increments the turn count.
    • +
  • Returns the selected messages.
    • +
    + print_messages Method
    + + Purpose: Prints the sender and content of messages to the logging system. + +
    Parameters: +
  • messages: List of Message instances.
    • +
  • + Output: Logs the sender and content of each message. +
    • +
  • reset Method:Resets the environment, including the turn count, rule, and agent states.
    • + +
  • Output: Resets the environment state.
    • +
  • is_done Method: Checks if the environment is done, either reaching the maximum turns or an end flag.
    • +
  • Output: Returns True if the environment is done, False otherwise.
    • +
  • Rule Initialization and Configuration: + Initializes and configures the rule for order, visibility, selector, updater, and describer based on provided + configurations.
    • +
    + The SdeTeamEnvironment class is specifically designed to model interactions within a software development + environment where a team collaborates to craft code. The environment includes rules for order, visibility, + selector, updater, and describer, which are tailored to simulate the dynamics of a software development team. + The asynchronous step method and other functionalities allow for the simulation of turns, messages, and + interactions among team members. +
    + Tool Loading + The environment loads a tool named "code_interpreter" as part of the initialization process. This tool, along + with others, is loaded using the load_tools function from agentverse.initialization. The tools are used to + interact with specific functionalities related to the software development context. +
    +
    + +
    +
    +
    + + +
    +

    Task solving Enviroment


    +
    + TasksolvingRule class defined within the AgentVerse framework represents a rule set for a task-solving environment where agents collaborate to perform tasks. + The rule set includes components for role assignment, decision-making, execution, and evaluation. It extends the BaseRule class and is designed to be used in the context of multi-agent systems where agents need to work together to solve complex tasks. +

    Components: +
  • Role Assigner (BaseRoleAssigner): Assigns roles to agents based on the task description and advice.
    • +
  • Decision Maker (BaseDecisionMaker): Determines the plan or decision for solving the task. It takes into account the task description, previous plans, and advice.
    • +
  • Executor (BaseExecutor): Executes the task using the provided final solution from the decision-making stage.
    • +
  • Evaluator (BaseEvaluator): Evaluates the solution and execution result to provide a score and advice.
    • + +
    Attributes: +
  • role_assigner: Instance of the role assigner component.
    • +
  • decision_maker: Instance of the decision maker component.
    • +
  • executor: Instance of the executor component.
    • +
  • evaluator: Instance of the evaluator component.
    • +
  • role_assign_only_once: Boolean indicating whether role assignment should occur only once.
    • +
  • add_execution_result_to_critic: Boolean indicating whether to add execution results to critic agents.
    • +
  • add_execution_result_to_solver: Boolean indicating whether to add execution results to the solver agent.
    • +
    Methods: +__init__ Method + +Initializes the rule set with components configured using provided configurations for role assigner, decision maker, executor, and evaluator. +role_assign Method + +Assigns roles to agents based on the task description, advice, and turn count. +Handles scenarios where role assignment occurs only once. +decision_making Method + +Determines the plan or decision for solving the task. +Handles dynamic decision-making scenarios. +Takes into account task description, previous plans, and advice. +execute Method + +Executes the task using the executor component. +Adds execution results to critic and solver agents based on configuration. +evaluate Method + +Evaluates the solution and execution result using the evaluator component. +Handles human evaluation scenarios by collecting scores and advice. +reset Method + +Resets the state of the rule set by resetting each component. + +
    +
    + +The TasksolvingRule class is designed for a task-solving environment where multiple agents collaborate to perform tasks. It integrates components for role assignment, decision-making, execution, and evaluation. The file incorporates dynamic decision-making scenarios, human evaluation, and configuration options for controlling the behavior of the rule set. Below is a screenshot showing codebase for this class. + + +

    + +
    + +
    +
    +
    + +
    +

    Contributing


    +

    + To contribute or if you are interested in + joining the agent verse and a become core AgentVerse team member - don't hesitate to reach out to the leaders, + their details are on the repo's README file. +

    +
    + + + +
    +
    + + + \ No newline at end of file diff --git a/documentation/style.css b/documentation/style.css new file mode 100644 index 000000000..80e8ed588 --- /dev/null +++ b/documentation/style.css @@ -0,0 +1,139 @@ +@import url("https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600&display=swap"); + +* { + margin: 0; + padding: 0; + box-sizing: border-box; + font-family: "Poppins", sans-serif; +} + +body { + display: block; + height: 100%; + width: 100%; + background: #f5f6fa; +} + +#navbar { + position: fixed; + top: 0; + left: 0; + padding: 10px; + height: 100%; + min-width: 350px; + color: #ffffff; + border: none; + background-color: #174782; +} + +#navbar header { + margin: 10px 0; + font-size: 28px; + font-weight: 500; + letter-spacing: 1px; + word-spacing: 5px; + +} + +#navbar ul { + height: 88%; + overflow-x: hidden; + overflow-y: auto; +} + +#navbar li { + padding: 10px 20px; + list-style-type: none; +} + +#navbar a { + font-size: 17px; + text-decoration: none; + 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zdPvLe7%F6p!xdhe+!Gv%6;U1;e;42~RUyU8XeX_SAttZ3#@>dgz8CPM*zWj_g>#Gs zx=WPb3gz`A%SfyfCxj={Fcj80T0){LnvLci`^GvgI&^G~Oyh(&M<2HwG*8Itrdcc5 zae9T?F&67%8$`pM5 zwH!)%{kVlv6L6+^6I`L?^aZd(rs`USwf=|m++4LT;lCojEujFhF@%B;Zshh|`YzOZ zWXWm!Fc8t8N^eFAc&p%6SPl{CajS(~d<@AS4uO1D^^t`khP+}xSuXEopoGabv4y6| z?5gxe3AIR5?{JVO1QIwj!R!Dv=`bX7hw(GjjWYmpc}v4-l@iRJ=w^zt+Y5YBAaLS+ z;gER!aDV*J>&~^qgb=A8V^vjfx+|+rXkv@XI{z-@Yuxb4lYHN^X%wJNasA42I8;%E zgRd#G%C)h|Qk^upO4^Cc)sc4oJb@@G3+yvQf|$WJ*+I3+pQSo0b6y%1De@x4{{?8r zx1SzW^`(6MqpWGayfh1sb6ZPp@{2r8+6)%uT~c$$s8pNaB{2|mm8F6HE{Jr3 Date: Thu, 28 Dec 2023 18:58:14 +0800 Subject: [PATCH 093/101] feat: support docker (#107) --- .dockerignore | 2 ++ Dockerfile | 20 ++++++++++++++++++++ 2 files changed, 22 insertions(+) create mode 100644 .dockerignore create mode 100644 Dockerfile diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..ea7d5dde4 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,2 @@ +.github +.gitignore diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 000000000..6ca5ddf26 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,20 @@ +FROM python:3.10 as Builder +RUN sed -i 's/deb.debian.org/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list.d/debian.sources && \ + sed -i 's/security.debian.org/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list.d/debian.sources +RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \ + pip3 install --upgrade pip # enable PEP 660 support +WORKDIR /app +# install libGL.so.1 +RUN apt-get update && apt-get install libgl1 -y +# install BMTools +RUN git clone https://github.com/OpenBMB/BMTools.git --depth=1 +RUN cd BMTools && \ + pip install -r requirements.txt && \ + python setup.py develop +# install AgentVerse +WORKDIR /app/AgentVerse +COPY requirements*.txt ./ +RUN pip install -r requirements.txt +RUN pip install -r requirements_local.txt +COPY . . +RUN pip install -e . From 5fb1f7713988c0ef71c1a8a455d7a74d821fd7cb Mon Sep 17 00:00:00 2001 From: Su Yang Date: Thu, 28 Dec 2023 18:59:05 +0800 Subject: [PATCH 094/101] feat: allow custom openai base url (#108) --- agentverse/llms/openai.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index c119dcd80..7897ef2fc 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -30,6 +30,10 @@ if os.environ.get("OPENAI_API_KEY") != None: openai.api_key = os.environ.get("OPENAI_API_KEY") is_openai_available = True + # set openai api base url if it is set + if os.environ.get("OPENAI_BASE_URL") != None: + openai.base_url = os.environ.get("OPENAI_BASE_URL") + print("use new openai base url", openai.base_url) elif os.environ.get("AZURE_OPENAI_API_KEY") != None: openai.api_type = "azure" openai.api_key = os.environ.get("AZURE_OPENAI_API_KEY") From 4c16c4210f82b8507d0d572f74c19acd132be6c5 Mon Sep 17 00:00:00 2001 From: Kunlun Zhu Date: Thu, 18 Jan 2024 20:56:11 +0800 Subject: [PATCH 095/101] Update README.md on the news (#118) --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index f485f5c95..70be22fbf 100644 --- a/README.md +++ b/README.md @@ -64,6 +64,8 @@ Applications: software development system, consulting system, etc. # 📰 What's New +- [2024/1/17] We're super excited to announce that our paper got accepted at ICLR 2024. More updates will be coming soon! + - [2023/10/17] We're super excited to share our open-source AI community hugging face: [`AgentVerse`](https://huggingface.co/spaces/AgentVerse/agentVerse). You are able to try out the two simulation applications, NLP Classroom and Prisoner's Dilemma,with your code of the openai API key and the openai organization. Have fun! - [2023/10/5] Re-factor our codebase to enable the deployment of both simulation and task-solving framework! We have placed the code for Minecraft example in the paper at the [`minecraft`](https://github.com/OpenBMB/AgentVerse/tree/minecraft) branch. Our tool-using example will soon be updated to the `main` branch. Stay tuned! From ebcf88bdda781d6692e10714f1e79ea55a8768fd Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Wed, 6 Mar 2024 12:49:47 +0800 Subject: [PATCH 096/101] fix: dependency and typing error #120 --- agentverse/memory/chat_history.py | 2 +- requirements_local.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/agentverse/memory/chat_history.py b/agentverse/memory/chat_history.py index 9d07b18ce..1b40f19ec 100644 --- a/agentverse/memory/chat_history.py +++ b/agentverse/memory/chat_history.py @@ -21,7 +21,7 @@ class ChatHistoryMemory(BaseMemory): max_summary_tlength: int = 500 last_trimmed_index: int = 0 summary: str = "" - SUMMARIZATION_PROMPT = '''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. + SUMMARIZATION_PROMPT: str = '''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. You will receive the current summary and your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise. diff --git a/requirements_local.txt b/requirements_local.txt index 1acb9614e..d7df9840a 100644 --- a/requirements_local.txt +++ b/requirements_local.txt @@ -1 +1 @@ -fschat[model_worker,webui] +fschat[model_worker,webui]==0.2.30 From fa916e180e6bc0fed586f2f5da54f1c7843ffd3b Mon Sep 17 00:00:00 2001 From: "Yusheng (Ethan) Su" Date: Fri, 22 Mar 2024 01:17:47 +0400 Subject: [PATCH 097/101] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 70be22fbf..f93466317 100644 --- a/README.md +++ b/README.md @@ -64,6 +64,8 @@ Applications: software development system, consulting system, etc. # 📰 What's New +- [2024/3/17] AgentVerse was introduced in NVIDIA's blog - [Building Your First LLM Agent Application](https://developer.nvidia.com/blog/building-your-first-llm-agent-application/). + - [2024/1/17] We're super excited to announce that our paper got accepted at ICLR 2024. More updates will be coming soon! - [2023/10/17] We're super excited to share our open-source AI community hugging face: [`AgentVerse`](https://huggingface.co/spaces/AgentVerse/agentVerse). You are able to try out the two simulation applications, NLP Classroom and Prisoner's Dilemma,with your code of the openai API key and the openai organization. Have fun! From c7e5c1c3be4aafc6111a4db50da6d76f814c4f97 Mon Sep 17 00:00:00 2001 From: Weize Chen <32613237+chenweize1998@users.noreply.github.com> Date: Sun, 24 Mar 2024 16:42:51 +0800 Subject: [PATCH 098/101] OpenAI 1.0 and vLLMs support (#127) * migrated to new openai library and added VLLM support * updated README to add vLLM support --------- Co-authored-by: taisazero --- .gitignore | 3 +- README.md | 17 + .../rules/executor/tool_using.py | 16 +- agentverse/llms/__init__.py | 31 +- agentverse/llms/base.py | 5 +- agentverse/llms/openai.py | 364 ++++++++++++------ agentverse/llms/utils/llm_server_utils.py | 42 ++ agentverse/llms/utils/token_counter.py | 4 +- agentverse/memory/chat_history.py | 8 +- agentverse_command/main_simulation_gui.py | 22 +- requirements.txt | 2 +- scripts/evaluate_responsegen.py | 8 +- 12 files changed, 376 insertions(+), 146 deletions(-) create mode 100644 agentverse/llms/utils/llm_server_utils.py diff --git a/.gitignore b/.gitignore index bbfb5aec0..fced8a228 100644 --- a/.gitignore +++ b/.gitignore @@ -173,4 +173,5 @@ results tmp/ data/toolbench logs/ -ci_smoke_test_output/ \ No newline at end of file +ci_smoke_test_output/ +.env \ No newline at end of file diff --git a/README.md b/README.md index f93466317..dd03c1019 100644 --- a/README.md +++ b/README.md @@ -218,6 +218,8 @@ https://github.com/OpenBMB/AgentVerse/assets/11704492/4d07da68-f942-4205-b558-f1 - [Framework Required Modules](#framework-required-modules-1) - [CLI Example](#cli-example-1) - [Local Model Support](#local-model-support) + - [vLLM Support](#vllm-support) + - [FSChat Support](#fschat-support) - [1. Install the Additional Dependencies](#1-install-the-additional-dependencies) - [2. Launch the Local Server](#2-launch-the-local-server) - [3. Modify the Config File](#3-modify-the-config-file) @@ -351,6 +353,21 @@ We have provided more tasks in `agentverse/tasks/tasksolving/tool_using/` that s Also, you can take a look at `agentverse/tasks/tasksolving` for more experiments we have done in our paper. ## Local Model Support +## vLLM Support +If you want to use vLLM, follow the guide [here](https://docs.vllm.ai/en/latest/getting_started/quickstart.html) to install and setup the vLLM server which is used to handle larger inference workloads. Create the following environment variables to connect to the vLLM server: +```bash +export VLLM_API_KEY="your_api_key_here" +export VLLM_API_BASE="http://your_vllm_url_here" +``` + +Then modify the `model` in the task config file so that it matches the model name in the vLLM server. For example: +```yaml +model_type: vllm +model: llama-2-7b-chat-hf +``` + +## FSChat Support +This section provides a step-by-step guide to integrate FSChat into AgentVerse. FSChat is a framework that supports local models such as LLaMA, Vicunna, etc. running on your local machine. ### 1. Install the Additional Dependencies If you want to use local models such as LLaMA, you need to additionally install some other dependencies: ```bash diff --git a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py index 9ae70a78d..13b4d02d5 100644 --- a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py +++ b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py @@ -1,12 +1,12 @@ import json import ast -import openai +from openai import OpenAI from string import Template from colorama import Fore from aiohttp import ClientSession from copy import deepcopy from typing import TYPE_CHECKING, Any, List, Tuple - +import httpx from agentverse.agents import ExecutorAgent from agentverse.message import Message, ExecutorMessage, SolverMessage from agentverse.logging import logger @@ -14,9 +14,9 @@ from . import BaseExecutor, executor_registry import asyncio from agentverse.llms.utils.jsonrepair import JsonRepair +from agentverse.llms.openai import DEFAULT_CLIENT_ASYNC as client_async url = "http://127.0.0.1:8080" - SUMMARIZE_PROMPT = """Here is the text gathered from a webpage, and a question you need to answer from the webpage. -- Webpage -- ${webpage} @@ -219,7 +219,7 @@ async def _summarize_webpage(webpage, question): ) for _ in range(3): try: - response = await openai.ChatCompletion.acreate( + response = await client_async.chat.completions.create( messages=[{"role": "user", "content": summarize_prompt}], model="gpt-3.5-turbo-16k", functions=[ @@ -261,7 +261,7 @@ async def _summarize_webpage(webpage, question): continue arguments = ast.literal_eval( JsonRepair( - response["choices"][0]["message"]["function_call"]["arguments"] + response.choices[0].message.function_call.arguments ).repair() ) ret = ( @@ -300,7 +300,7 @@ async def _summarize_webpage(webpage, question): } for i in range(3): try: - async with ClientSession(cookies=cookies, trust_env=True) as session: + async with httpx.AsyncClient(cookies=cookies, trust_env=True) as session: if cookies is None: async with session.post( f"{url}/get_cookie", timeout=30 @@ -327,12 +327,12 @@ async def _summarize_webpage(webpage, question): ) as response: content = await response.text() if command == "WebEnv_browse_website": - openai.aiosession.set(session) + client_async.http_client = session result = await _summarize_webpage( content, arguments["goals_to_browse"] ) elif command == "WebEnv_search_and_browse": - openai.aiosession.set(session) + client_async.http_client = session content = json.loads(content) # for i in range(len(content)): diff --git a/agentverse/llms/__init__.py b/agentverse/llms/__init__.py index b623e6234..f5bcda3fe 100644 --- a/agentverse/llms/__init__.py +++ b/agentverse/llms/__init__.py @@ -9,12 +9,33 @@ "vicuna-13b-v1.5", ] LOCAL_LLMS_MAPPING = { - "llama-2-7b-chat-hf": "meta-llama/Llama-2-7b-chat-hf", - "llama-2-13b-chat-hf": "meta-llama/Llama-2-13b-chat-hf", - "llama-2-70b-chat-hf": "meta-llama/Llama-2-70b-chat-hf", - "vicuna-7b-v1.5": "lmsys/vicuna-7b-v1.5", - "vicuna-13b-v1.5": "lmsys/vicuna-13b-v1.5", + "llama-2-7b-chat-hf": { + "hf_model_name": "meta-llama/Llama-2-7b-chat-hf", + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + }, + "llama-2-13b-chat-hf": { + "hf_model_name": "meta-llama/Llama-2-13b-chat-hf", + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + }, + "llama-2-70b-chat-hf": { + "hf_model_name": "meta-llama/Llama-2-70b-chat-hf", + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + }, + "vicuna-7b-v1.5": { + "hf_model_name": "lmsys/vicuna-7b-v1.5", + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + }, + "vicuna-13b-v1.5": { + "hf_model_name": "lmsys/vicuna-13b-v1.5", + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + }, } + from .base import BaseLLM, BaseChatModel, BaseCompletionModel, LLMResult from .openai import OpenAIChat diff --git a/agentverse/llms/base.py b/agentverse/llms/base.py index b759fb281..cc38f6d39 100644 --- a/agentverse/llms/base.py +++ b/agentverse/llms/base.py @@ -1,6 +1,5 @@ from abc import abstractmethod -from typing import Dict, Any - +from typing import Any, Dict, Optional from pydantic import BaseModel, Field @@ -20,6 +19,8 @@ class BaseModelArgs(BaseModel): class BaseLLM(BaseModel): args: BaseModelArgs = Field(default_factory=BaseModelArgs) max_retry: int = Field(default=3) + client_args: Optional[Dict] = Field(default={}) + is_azure: bool = Field(default=False) @abstractmethod def get_spend(self) -> float: diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 7897ef2fc..144e19d3d 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -5,51 +5,95 @@ import numpy as np from aiohttp import ClientSession from typing import Dict, List, Optional, Union -from tenacity import retry, stop_after_attempt, wait_exponential - -from pydantic import BaseModel, Field +from tenacity import ( + retry, + stop_after_attempt, + wait_exponential, + retry_if_exception_type, +) +from pydantic import Field from agentverse.llms.base import LLMResult from agentverse.logging import logger from agentverse.message import Message -from . import llm_registry, LOCAL_LLMS -from .base import BaseChatModel, BaseCompletionModel, BaseModelArgs +from . import llm_registry, LOCAL_LLMS, LOCAL_LLMS_MAPPING +from .base import BaseChatModel, BaseModelArgs from .utils.jsonrepair import JsonRepair +from .utils.llm_server_utils import get_llm_server_modelname try: - import openai - from openai.error import OpenAIError + from openai import OpenAI, AsyncOpenAI + from openai import OpenAIError + from openai import AzureOpenAI, AsyncAzureOpenAI except ImportError: is_openai_available = False - logger.warn("openai package is not installed") + logger.warn( + "openai package is not installed. Please install it via `pip install openai`" + ) else: - # openai.proxy = os.environ.get("http_proxy") - # if openai.proxy is None: - # openai.proxy = os.environ.get("HTTP_PROXY") - if os.environ.get("OPENAI_API_KEY") != None: - openai.api_key = os.environ.get("OPENAI_API_KEY") - is_openai_available = True - # set openai api base url if it is set - if os.environ.get("OPENAI_BASE_URL") != None: - openai.base_url = os.environ.get("OPENAI_BASE_URL") - print("use new openai base url", openai.base_url) - elif os.environ.get("AZURE_OPENAI_API_KEY") != None: - openai.api_type = "azure" - openai.api_key = os.environ.get("AZURE_OPENAI_API_KEY") - openai.api_base = os.environ.get("AZURE_OPENAI_API_BASE") - openai.api_version = "2023-05-15" - is_openai_available = True - else: + api_key = None + base_url = None + model_name = None + OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") + OPENAI_BASE_URL = os.environ.get("OPENAI_BASE_URL") + AZURE_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY") + AZURE_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE") + VLLM_BASE_URL = os.environ.get("VLLM_BASE_URL") + VLLM_API_KEY = os.environ.get("VLLM_API_KEY", "EMPTY") + + if not OPENAI_API_KEY and not AZURE_API_KEY: logger.warn( - "OpenAI API key is not set. Please set the environment variable OPENAI_API_KEY" + "OpenAI API key is not set. Please set an environment variable OPENAI_API_KEY or " + "AZURE_OPENAI_API_KEY." ) - is_openai_available = False + elif OPENAI_API_KEY: + DEFAULT_CLIENT = OpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL) + DEFAULT_CLIENT_ASYNC = AsyncOpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL) + api_key = OPENAI_API_KEY + base_url = OPENAI_BASE_URL + elif AZURE_API_KEY: + DEFAULT_CLIENT = AzureOpenAI( + api_key=AZURE_API_KEY, + azure_endpoint=AZURE_API_BASE, + api_version="2024-02-15-preview", + ) + DEFAULT_CLIENT_ASYNC = AsyncAzureOpenAI( + api_key=AZURE_API_KEY, + azure_endpoint=AZURE_API_BASE, + ) + api_key = AZURE_API_KEY + base_url = AZURE_API_BASE + if VLLM_BASE_URL: + if model_name := get_llm_server_modelname(VLLM_BASE_URL, VLLM_API_KEY, logger): + # model_name = /mnt/llama/hf_models/TheBloke_Llama-2-70B-Chat-GPTQ + # transform to TheBloke/Llama-2-70B-Chat-GPTQ + hf_model_name = model_name.split("/")[-1].replace("_", "/") + LOCAL_LLMS.append(model_name) + LOCAL_LLMS_MAPPING[model_name] = { + "hf_model_name": hf_model_name, + "base_url": VLLM_BASE_URL, + "api_key": VLLM_API_KEY if VLLM_API_KEY else "EMPTY", + } + logger.info(f"Using vLLM model: {hf_model_name}") + if hf_model_name := get_llm_server_modelname( + "http://localhost:5000", logger=logger + ): + # meta-llama/Llama-2-7b-chat-hf + # transform to llama-2-7b-chat-hf + short_model_name = model_name.split("/")[-1].lower() + LOCAL_LLMS.append(short_model_name) + LOCAL_LLMS_MAPPING[short_model_name] = { + "hf_model_name": hf_model_name, + "base_url": "http://localhost:5000/v1", + "api_key": "EMPTY", + } + + logger.info(f"Using FSChat model: {model_name}") class OpenAIChatArgs(BaseModelArgs): model: str = Field(default="gpt-3.5-turbo") - deployment_id: str = Field(default=None) max_tokens: int = Field(default=2048) temperature: float = Field(default=1.0) top_p: int = Field(default=1) @@ -101,9 +145,14 @@ class OpenAIChatArgs(BaseModelArgs): @llm_registry.register("gpt-35-turbo") @llm_registry.register("gpt-3.5-turbo") @llm_registry.register("gpt-4") +@llm_registry.register("vllm") @llm_registry.register("local") class OpenAIChat(BaseChatModel): args: OpenAIChatArgs = Field(default_factory=OpenAIChatArgs) + client_args: Optional[Dict] = Field( + default={"api_key": api_key, "base_url": base_url} + ) + is_azure: bool = Field(default=False) total_prompt_tokens: int = 0 total_completion_tokens: int = 0 @@ -111,14 +160,27 @@ class OpenAIChat(BaseChatModel): def __init__(self, max_retry: int = 3, **kwargs): args = OpenAIChatArgs() args = args.dict() + client_args = {"api_key": api_key, "base_url": base_url} + # check if api_key is an azure key + is_azure = False + if AZURE_API_KEY and not OPENAI_API_KEY: + is_azure = True for k, v in args.items(): args[k] = kwargs.pop(k, v) if len(kwargs) > 0: logger.warn(f"Unused arguments: {kwargs}") if args["model"] in LOCAL_LLMS: - openai.api_base = "http://localhost:5000/v1" - openai.api_key = "EMPTY" - super().__init__(args=args, max_retry=max_retry) + if args["model"] in LOCAL_LLMS_MAPPING: + client_args["api_key"] = LOCAL_LLMS_MAPPING[args["model"]]["api_key"] + client_args["base_url"] = LOCAL_LLMS_MAPPING[args["model"]]["base_url"] + is_azure = False + else: + raise ValueError( + f"Model {args['model']} not found in LOCAL_LLMS_MAPPING" + ) + super().__init__( + args=args, max_retry=max_retry, client_args=client_args, is_azure=is_azure + ) @classmethod def send_token_limit(self, model: str) -> int: @@ -126,20 +188,27 @@ def send_token_limit(self, model: str) -> int: "gpt-3.5-turbo": 4096, "gpt-35-turbo": 4096, "gpt-3.5-turbo-16k": 16384, + "gpt-3.5-turbo-0613": 16384, + "gpt-3.5-turbo-1106": 16384, + "gpt-3.5-turbo-0125": 16384, "gpt-4": 8192, "gpt-4-32k": 32768, + "gpt-4-0613": 32768, + "gpt-4-1106-preview": 131072, + "gpt-4-0125-preview": 131072, "llama-2-7b-chat-hf": 4096, } - - return send_token_limit_dict[model] - - # def _construct_messages(self, history: List[Message]): - # return history + [{"role": "user", "content": query}] - @retry( - stop=stop_after_attempt(20), - wait=wait_exponential(multiplier=1, min=4, max=10), - reraise=True, - ) + # Default to 4096 tokens if model is not in the dictionary + return send_token_limit_dict[model] if model in send_token_limit_dict else 4096 + + # @retry( + # stop=stop_after_attempt(20), + # wait=wait_exponential(multiplier=1, min=4, max=10), + # reraise=True, + # retry=retry_if_exception_type( + # exception_types=(OpenAIError, json.decoder.JSONDecodeError, Exception) + # ), + # ) def generate_response( self, prepend_prompt: str = "", @@ -149,59 +218,93 @@ def generate_response( ) -> LLMResult: messages = self.construct_messages(prepend_prompt, history, append_prompt) logger.log_prompt(messages) + if self.is_azure: + openai_client = AzureOpenAI( + api_key=self.client_args["api_key"], + azure_endpoint=self.client_args["base_url"], + api_version="2024-02-15-preview", + ) + else: + openai_client = OpenAI( + api_key=self.client_args["api_key"], + base_url=self.client_args["base_url"], + ) try: # Execute function call if functions != []: - response = openai.ChatCompletion.create( + response = openai_client.chat.completions.create( messages=messages, functions=functions, **self.args.dict(), ) - if response["choices"][0]["message"].get("function_call") is not None: + + logger.log_prompt( + [ + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ] + ) + if response.choices[0].message.function_call is not None: self.collect_metrics(response) + return LLMResult( - content=response["choices"][0]["message"].get("content", ""), - function_name=response["choices"][0]["message"][ - "function_call" - ]["name"], + content=response.choices[0].message.get("content", ""), + function_name=response.choices[0].message.function_call.name, function_arguments=ast.literal_eval( - response["choices"][0]["message"]["function_call"][ - "arguments" - ] + response.choices[0].message.function_call.arguments ), - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) else: self.collect_metrics(response) + logger.log_prompt( + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ) return LLMResult( - content=response["choices"][0]["message"]["content"], - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + content=response.choices[0].message.content, + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) else: - response = openai.ChatCompletion.create( + response = openai_client.chat.completions.create( messages=messages, **self.args.dict(), ) + logger.log_prompt( + [ + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ] + ) self.collect_metrics(response) return LLMResult( - content=response["choices"][0]["message"]["content"], - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + content=response.choices[0].message.content, + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) except (OpenAIError, KeyboardInterrupt, json.decoder.JSONDecodeError) as error: raise - @retry( - stop=stop_after_attempt(20), - wait=wait_exponential(multiplier=1, min=4, max=10), - reraise=True, - ) + # @retry( + # stop=stop_after_attempt(20), + # wait=wait_exponential(multiplier=1, min=4, max=10), + # reraise=True, + # retry=retry_if_exception_type( + # exception_types=(OpenAIError, json.decoder.JSONDecodeError, Exception) + # ), + # ) async def agenerate_response( self, prepend_prompt: str = "", @@ -212,19 +315,34 @@ async def agenerate_response( messages = self.construct_messages(prepend_prompt, history, append_prompt) logger.log_prompt(messages) + if self.is_azure: + async_openai_client = AsyncAzureOpenAI( + api_key=self.client_args["api_key"], + azure_endpoint=self.client_args["base_url"], + api_version="2024-02-15-preview", + ) + else: + async_openai_client = AsyncOpenAI( + api_key=self.client_args["api_key"], + base_url=self.client_args["base_url"], + ) try: if functions != []: - async with ClientSession(trust_env=True) as session: - openai.aiosession.set(session) - response = await openai.ChatCompletion.acreate( - messages=messages, - functions=functions, - **self.args.dict(), - ) - if response["choices"][0]["message"].get("function_call") is not None: - function_name = response["choices"][0]["message"]["function_call"][ - "name" + response = await async_openai_client.chat.completions.create( + messages=messages, + functions=functions, + **self.args.dict(), + ) + logger.log_prompt( + [ + { + "role": "assistant", + "content": response.choices[0].message.content, + } ] + ) + if response.choices[0].message.function_call is not None: + function_name = response.choices[0].message.function_call.name valid_function = False if function_name.startswith("function."): function_name = function_name.replace("function.", "") @@ -243,17 +361,13 @@ async def agenerate_response( ) try: arguments = ast.literal_eval( - response["choices"][0]["message"]["function_call"][ - "arguments" - ] + response.choices[0].message.function_call.arguments ) except: try: arguments = ast.literal_eval( JsonRepair( - response["choices"][0]["message"]["function_call"][ - "arguments" - ] + response.choices[0].message.function_call.arguments ).repair() ) except: @@ -264,36 +378,55 @@ async def agenerate_response( "The returned argument in function call is not valid json." ) self.collect_metrics(response) + logger.log_prompt( + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ) return LLMResult( function_name=function_name, function_arguments=arguments, - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) else: self.collect_metrics(response) + logger.log_prompt( + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ) return LLMResult( - content=response["choices"][0]["message"]["content"], - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + content=response.choices[0].message.content, + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) else: - async with ClientSession(trust_env=True) as session: - openai.aiosession.set(session) - response = await openai.ChatCompletion.acreate( - messages=messages, - **self.args.dict(), - ) + + response = await async_openai_client.chat.completions.create( + messages=messages, + **self.args.dict(), + ) self.collect_metrics(response) + logger.log_prompt( + [ + { + "role": "assistant", + "content": response.choices[0].message.content, + } + ] + ) return LLMResult( - content=response["choices"][0]["message"]["content"], - send_tokens=response["usage"]["prompt_tokens"], - recv_tokens=response["usage"]["completion_tokens"], - total_tokens=response["usage"]["total_tokens"], + content=response.choices[0].message.content, + send_tokens=response.usage.prompt_tokens, + recv_tokens=response.usage.completion_tokens, + total_tokens=response.usage.total_tokens, ) except (OpenAIError, KeyboardInterrupt, json.decoder.JSONDecodeError) as error: raise @@ -311,8 +444,8 @@ def construct_messages( return messages def collect_metrics(self, response): - self.total_prompt_tokens += response["usage"]["prompt_tokens"] - self.total_completion_tokens += response["usage"]["completion_tokens"] + self.total_prompt_tokens += response.usage.prompt_tokens + self.total_completion_tokens += response.usage.completion_tokens def get_spend(self) -> int: input_cost_map = { @@ -320,9 +453,13 @@ def get_spend(self) -> int: "gpt-3.5-turbo-16k": 0.003, "gpt-3.5-turbo-0613": 0.0015, "gpt-3.5-turbo-16k-0613": 0.003, + "gpt-3.5-turbo-1106": 0.0005, + "gpt-3.5-turbo-0125": 0.0005, "gpt-4": 0.03, "gpt-4-0613": 0.03, "gpt-4-32k": 0.06, + "gpt-4-1106-preview": 0.01, + "gpt-4-0125-preview": 0.01, "llama-2-7b-chat-hf": 0.0, } @@ -331,9 +468,13 @@ def get_spend(self) -> int: "gpt-3.5-turbo-16k": 0.004, "gpt-3.5-turbo-0613": 0.002, "gpt-3.5-turbo-16k-0613": 0.004, + "gpt-3.5-turbo-1106": 0.0015, + "gpt-3.5-turbo-0125": 0.0015, "gpt-4": 0.06, "gpt-4-0613": 0.06, "gpt-4-32k": 0.12, + "gpt-4-1106-preview": 0.03, + "gpt-4-0125-preview": 0.03, "llama-2-7b-chat-hf": 0.0, } @@ -353,16 +494,19 @@ def get_spend(self) -> int: reraise=True, ) def get_embedding(text: str, attempts=3) -> np.array: + if AZURE_API_KEY and AZURE_API_BASE: + client = AzureOpenAI( + api_key=AZURE_API_KEY, + azure_endpoint=AZURE_API_BASE, + api_version="2024-02-15-preview", + ) + elif OPENAI_API_KEY: + client = OpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL) try: text = text.replace("\n", " ") - if openai.api_type == "azure": - embedding = openai.Embedding.create( - input=[text], deployment_id="text-embedding-ada-002" - )["data"][0]["embedding"] - else: - embedding = openai.Embedding.create( - input=[text], model="text-embedding-ada-002" - )["data"][0]["embedding"] + embedding = client.embeddings.create( + input=text, model="text-embedding-ada-002" + ).model_dump_json(indent=2) return tuple(embedding) except Exception as e: attempt += 1 diff --git a/agentverse/llms/utils/llm_server_utils.py b/agentverse/llms/utils/llm_server_utils.py new file mode 100644 index 000000000..1aef91f78 --- /dev/null +++ b/agentverse/llms/utils/llm_server_utils.py @@ -0,0 +1,42 @@ +import requests +from typing import Optional + +def get_llm_server_modelname( + base_url: str = "http://localhost:8000", api_key=None, logger=None +) -> Optional[str]: + # remove /v1 and any trailing slashes from the base_url + base_url = base_url.replace("/v1", "").rstrip("/") + try: + if api_key: + response = requests.get( + f"{base_url}/v1/models", headers={"Authorization": f"Bearer {api_key}"} + ) + else: + response = requests.get(f"{base_url}/v1/models") + if response.status_code == 200: + # get the model name hosted by vLLM + models = [m for m in response.json()["data"] if m["object"] == "model"] + if len(models) == 0: + if logger: + logger.warn( + "The vLLM server is running but not hosting any models." + ) + return None + model_name = models[0]["id"] + if logger: + logger.info(f"vLLM server is running. Selecting: {model_name}.") + return model_name + else: + if logger: + logger.warn( + f"vLLM server is running but could not get the list of models. Status code: {response.status_code}" + ) + return None + except requests.exceptions.ConnectionError: + if logger: + logger.warn("No vLLM server running at the specified URL.") + return None + except Exception as e: + if logger: + logger.warn(f"Error while trying to get the vLLM model name: {e}") + return None diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py index 94125ad73..7af8e2ffb 100644 --- a/agentverse/llms/utils/token_counter.py +++ b/agentverse/llms/utils/token_counter.py @@ -12,7 +12,7 @@ def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int: return len(tiktoken.encoding_for_model(model).encode(prompt)) elif model.lower() in LOCAL_LLMS or model in LOCAL_LLMS: from transformers import AutoTokenizer - encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]) + encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]['hf_model_name']) return len(encoding.encode(prompt)) @@ -35,7 +35,7 @@ def count_message_tokens( elif model.lower() in LOCAL_LLMS or model in LOCAL_LLMS: from transformers import AutoTokenizer - encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]) + encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()]['hf_model_name']) else: raise NotImplementedError( f"count_message_tokens() is not implemented for model {model}.\n" diff --git a/agentverse/memory/chat_history.py b/agentverse/memory/chat_history.py index 1b40f19ec..65d007514 100644 --- a/agentverse/memory/chat_history.py +++ b/agentverse/memory/chat_history.py @@ -1,7 +1,7 @@ import json import logging import os -import openai +from openai import OpenAI import copy from typing import List, Optional, Tuple, Dict @@ -12,7 +12,7 @@ from .base import BaseMemory from agentverse.llms.utils import count_message_tokens, count_string_tokens from agentverse.llms import OpenAIChat - +from agentverse.llms.openai import DEFAULT_CLIENT as openai_client @memory_registry.register("chat_history") class ChatHistoryMemory(BaseMemory): @@ -206,12 +206,12 @@ async def _update_summary_with_batch( summary=self.summary, new_events=new_events_batch ) - self.summary = await openai.ChatCompletion.acreate( + self.summary = await openai_client.chat.completions.acreate( messages=[{"role": "user", "content": prompt}], model=model, max_tokens=max_summary_length, temperature=0.5, - )["choices"][0]["message"]["content"] + ).choices[0].message.content def summary_message(self) -> dict: return { diff --git a/agentverse_command/main_simulation_gui.py b/agentverse_command/main_simulation_gui.py index 75d7fbd3f..e132a1024 100644 --- a/agentverse_command/main_simulation_gui.py +++ b/agentverse_command/main_simulation_gui.py @@ -9,19 +9,23 @@ type=str, default=os.path.join(os.path.dirname(__file__), "..", "agentverse", "tasks"), ) -parser.add_argument("--share", - action='store_true', - default=False, - help="Create a publicly shareable link") -parser.add_argument("--server_name", - type=str, - default="127.0.0.1", - help="Server name") +parser.add_argument( + "--share", + action="store_true", + default=False, + help="Create a publicly shareable link", +) +parser.add_argument("--server_name", type=str, default="127.0.0.1", help="Server name") +parser.add_argument("--debug", action="store_true", default=False, help="Debug mode") args = parser.parse_args() def cli_main(): - ui = GUI(args.task, args.tasks_dir,ui_kwargs={"share":args.share,"server_name":args.server_name}) + ui = GUI( + args.task, + args.tasks_dir, + ui_kwargs={"share": args.share, "server_name": args.server_name, "debug": args.debug}, + ) ui.launch() if __name__ == "__main__": diff --git a/requirements.txt b/requirements.txt index 0a93efec9..4c4575e64 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,7 +3,7 @@ fastapi==0.95.1 uvicorn py3langid setuptools-scm -openai==0.27.8 +openai==1.5.0 opencv-python==4.8.0.76 gradio httpx[socks]==0.25.0 diff --git a/scripts/evaluate_responsegen.py b/scripts/evaluate_responsegen.py index 07b497ae3..0b7adabf2 100644 --- a/scripts/evaluate_responsegen.py +++ b/scripts/evaluate_responsegen.py @@ -2,8 +2,9 @@ import json from string import Template import time -import openai +from openai import OpenAI from tqdm import tqdm +from agentverse.llms.openai import DEFAULT_CLIENT as client with open("./results.jsonl", "r") as f: lines = list(f.readlines()) @@ -25,7 +26,6 @@ res = [] eval = [] - def write_eval_to_file(file, skip=0): for idx, line in tqdm(enumerate(lines)): if idx < skip: @@ -50,7 +50,7 @@ def write_eval_to_file(file, skip=0): ) for i in range(100): try: - eval_response = openai.ChatCompletion.create( + eval_response = client.chat.completions.create( model="gpt-4", messages=[{"role": "user", "content": prompt}], temperature=0.0, @@ -59,7 +59,7 @@ def write_eval_to_file(file, skip=0): time.sleep(min(i**2, 60)) continue break - text = eval_response["choices"][0]["message"]["content"] + text = eval_response.choices[0].message.content eval.append(text) text = text.replace("\n", "\n\n") f.write(f"{text}\n\n") From 6e6dff647b5cadfc0bb8126f9410cfe2d40f8907 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Sun, 24 Mar 2024 16:46:25 +0800 Subject: [PATCH 099/101] fix: github action --- .github/workflows/test.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index e593f0609..1e7071e31 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -35,7 +35,8 @@ jobs: env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_ORGANIZATION: ${{ secrets.OPENAI_ORGANIZATION }} + OPENAI_BASE_URL: ${{ secrets.OPENAI_BASE_URL }} run: | python setup.py develop python agentverse_command/benchmark.py --task tasksolving/mgsm/gpt-3.5 --dataset_path data/mgsm/test_sample.jsonl --overwrite --output_path ci_smoke_test_output --tasks_dir ./agentverse/tasks - python scripts/evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test \ No newline at end of file + python scripts/evaluate_math.py --path ci_smoke_test_output/results.jsonl --ci_smoke_test From c755193f3bd68ca1c3cde8f3b0b3c331726a016d Mon Sep 17 00:00:00 2001 From: _1ring2rta_ <53417412+1ring2rta@users.noreply.github.com> Date: Thu, 25 Apr 2024 09:20:58 +0800 Subject: [PATCH 100/101] Update openai.py fix ``Error message is logged: RuntimeError: Event loop is closed`` --- agentverse/llms/openai.py | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 144e19d3d..881ec3f7a 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -232,11 +232,12 @@ def generate_response( try: # Execute function call if functions != []: - response = openai_client.chat.completions.create( - messages=messages, - functions=functions, - **self.args.dict(), - ) + async with async_openai_client: + response = openai_client.chat.completions.create( + messages=messages, + functions=functions, + **self.args.dict(), + ) logger.log_prompt( [ @@ -275,10 +276,11 @@ def generate_response( ) else: - response = openai_client.chat.completions.create( - messages=messages, - **self.args.dict(), - ) + async with async_openai_client: + response = openai_client.chat.completions.create( + messages=messages, + **self.args.dict(), + ) logger.log_prompt( [ { From f90c4bd9680fdd3bcff8c52c9170911a59b23478 Mon Sep 17 00:00:00 2001 From: chenweize1998 Date: Mon, 9 Sep 2024 13:47:39 +0800 Subject: [PATCH 101/101] fix: bug in openai async call. update requirements. #139 #134 #128 --- agentverse/llms/openai.py | 26 +++++++++++++------------- requirements.txt | 2 +- 2 files changed, 14 insertions(+), 14 deletions(-) diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py index 881ec3f7a..11b17f023 100644 --- a/agentverse/llms/openai.py +++ b/agentverse/llms/openai.py @@ -41,7 +41,7 @@ AZURE_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE") VLLM_BASE_URL = os.environ.get("VLLM_BASE_URL") VLLM_API_KEY = os.environ.get("VLLM_API_KEY", "EMPTY") - + if not OPENAI_API_KEY and not AZURE_API_KEY: logger.warn( "OpenAI API key is not set. Please set an environment variable OPENAI_API_KEY or " @@ -49,7 +49,9 @@ ) elif OPENAI_API_KEY: DEFAULT_CLIENT = OpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL) - DEFAULT_CLIENT_ASYNC = AsyncOpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL) + DEFAULT_CLIENT_ASYNC = AsyncOpenAI( + api_key=OPENAI_API_KEY, base_url=OPENAI_BASE_URL + ) api_key = OPENAI_API_KEY base_url = OPENAI_BASE_URL elif AZURE_API_KEY: @@ -232,12 +234,11 @@ def generate_response( try: # Execute function call if functions != []: - async with async_openai_client: - response = openai_client.chat.completions.create( - messages=messages, - functions=functions, - **self.args.dict(), - ) + response = openai_client.chat.completions.create( + messages=messages, + functions=functions, + **self.args.dict(), + ) logger.log_prompt( [ @@ -276,11 +277,10 @@ def generate_response( ) else: - async with async_openai_client: - response = openai_client.chat.completions.create( - messages=messages, - **self.args.dict(), - ) + response = openai_client.chat.completions.create( + messages=messages, + **self.args.dict(), + ) logger.log_prompt( [ { diff --git a/requirements.txt b/requirements.txt index 4c4575e64..be80b602c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,7 +3,7 @@ fastapi==0.95.1 uvicorn py3langid setuptools-scm -openai==1.5.0 +openai==1.1.0 opencv-python==4.8.0.76 gradio httpx[socks]==0.25.0
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