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# 搜索OPENAI_API_KEY只设置OPENAI_API_KEY即可 | ||
# OPENAI_API_KEY | ||
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################################################################################ | ||
### AUTO-GPT - 常规设置 | ||
### AUTO-GPT - GENERAL SETTINGS | ||
################################################################################ | ||
# EXECUTE_LOCAL_COMMANDS - 允许本地命令执行(示例:False) | ||
EXECUTE_LOCAL_COMMANDS=False | ||
# BROWSE_CHUNK_MAX_LENGTH - 浏览网站时,定义存储在内存中的块的长度 | ||
BROWSE_CHUNK_MAX_LENGTH=8192 | ||
# BROWSE_SUMMARY_MAX_TOKEN - 定义 GPT 代理在浏览网站时生成的摘要的最大长度 | ||
BROWSE_SUMMARY_MAX_TOKEN=300 | ||
# USER_AGENT - 定义请求库用来浏览网站的用户代理(字符串) | ||
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## EXECUTE_LOCAL_COMMANDS - Allow local command execution (Default: False) | ||
## RESTRICT_TO_WORKSPACE - Restrict file operations to workspace ./auto_gpt_workspace (Default: True) | ||
# EXECUTE_LOCAL_COMMANDS=False | ||
# RESTRICT_TO_WORKSPACE=True | ||
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## USER_AGENT - Define the user-agent used by the requests library to browse website (string) | ||
# USER_AGENT="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36" | ||
# AI_SETTINGS_FILE - 指定要使用的 AI 设置文件(默认为 ai_settings.yaml) | ||
AI_SETTINGS_FILE=ai_settings.yaml | ||
# USE_WEB_BROWSER - Sets the web-browser drivers to use with selenium (defaults to chrome). | ||
# Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser | ||
# USE_WEB_BROWSER=chrome | ||
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## AI_SETTINGS_FILE - Specifies which AI Settings file to use (defaults to ai_settings.yaml) | ||
# AI_SETTINGS_FILE=ai_settings.yaml | ||
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################################################################################ | ||
### OPENAI key 设置 | ||
### LLM PROVIDER | ||
################################################################################ | ||
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### OPENAI | ||
# OPENAI_API_KEY - OpenAI API 密钥 (示例: my-openai-api-key) | ||
# TEMPERATURE - Sets 准确度 in OpenAI (默认值: 0) | ||
# USE_AZURE - 是否使用 Azure OpenAI (默认值: False) | ||
OPENAI_API_KEY=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 | ||
TEMPERATURE=0 | ||
USE_AZURE=False | ||
## OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key) | ||
## TEMPERATURE - Sets temperature in OpenAI (Default: 0) | ||
## USE_AZURE - Use Azure OpenAI or not (Default: False) | ||
OPENAI_API_KEY=your-openai-api-key | ||
# TEMPERATURE=0 | ||
# USE_AZURE=False | ||
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### AZURE | ||
# cleanup azure env as already moved to `azure.yaml.template` | ||
# moved to `azure.yaml.template` | ||
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################################################################################ | ||
### LLM 模型设置 默认不用动 | ||
### LLM MODELS | ||
################################################################################ | ||
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# SMART_LLM_MODEL - 智能语言模型(默认:gpt-4) | ||
# FAST_LLM_MODEL - 快速语言模型(默认:gpt-3.5-turbo) | ||
SMART_LLM_MODEL=gpt-4 | ||
FAST_LLM_MODEL=gpt-3.5-turbo | ||
## SMART_LLM_MODEL - Smart language model (Default: gpt-4) | ||
## FAST_LLM_MODEL - Fast language model (Default: gpt-3.5-turbo) | ||
# SMART_LLM_MODEL=gpt-4 | ||
# FAST_LLM_MODEL=gpt-3.5-turbo | ||
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### LLM 模型设置 | ||
# FAST_TOKEN_LIMIT - OpenAI 的快速令牌限制(默认值:4000) | ||
# SMART_TOKEN_LIMIT - OpenAI 的智能令牌限制(默认值:8000) | ||
# 使用--gpt3onlythis时需要设置为4000。 | ||
FAST_TOKEN_LIMIT=4000 | ||
SMART_TOKEN_LIMIT=8000 | ||
### LLM MODEL SETTINGS | ||
## FAST_TOKEN_LIMIT - Fast token limit for OpenAI (Default: 4000) | ||
## SMART_TOKEN_LIMIT - Smart token limit for OpenAI (Default: 8000) | ||
## When using --gpt3only this needs to be set to 4000. | ||
# FAST_TOKEN_LIMIT=4000 | ||
# SMART_TOKEN_LIMIT=8000 | ||
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################################################################################ | ||
### 内存/记忆/历史记录 不需要同步的话 默认本地就行 | ||
### MEMORY | ||
################################################################################ | ||
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### MEMORY_BACKEND - 内存/记忆/历史记录后端类型(默认:本地) | ||
# local - Default | ||
# pinecone - Pinecone (if configured) | ||
# redis - Redis (if configured) | ||
MEMORY_BACKEND=local | ||
### MEMORY_BACKEND - Memory backend type | ||
## local - Default | ||
## pinecone - Pinecone (if configured) | ||
## redis - Redis (if configured) | ||
## milvus - Milvus (if configured) | ||
## MEMORY_INDEX - Name of index created in Memory backend (Default: auto-gpt) | ||
# MEMORY_BACKEND=local | ||
# MEMORY_INDEX=auto-gpt | ||
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### PINECONE 云端存储内存/记忆/历史记录使用的。 | ||
# PINECONE_API_KEY - Pinecone API 密钥(示例:my-pinecone-api-key) | ||
# PINECONE_ENV - 松果环境(区域)(示例:us-west-2) | ||
PINECONE_API_KEY=your-pinecone-api-key | ||
PINECONE_ENV=your-pinecone-region | ||
### PINECONE | ||
## PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key) | ||
## PINECONE_ENV - Pinecone environment (region) (Example: us-west-2) | ||
# PINECONE_API_KEY=your-pinecone-api-key | ||
# PINECONE_ENV=your-pinecone-region | ||
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### REDIS 使用数据库云端存储内存/记忆/历史记录使用的。 | ||
# REDIS_HOST - Redis 主机(默认:localhost) | ||
# REDIS_PORT - Redis 端口(默认值:6379) | ||
# REDIS_PASSWORD - Redis 密码(默认值:“”) | ||
# WIPE_REDIS_ON_START - 开始时擦除数据/索引(默认值:False) | ||
# MEMORY_INDEX - 在 Redis 数据库中创建的索引名称(默认值:auto-gpt) | ||
REDIS_HOST=localhost | ||
REDIS_PORT=6379 | ||
REDIS_PASSWORD= | ||
WIPE_REDIS_ON_START=False | ||
MEMORY_INDEX=auto-gpt | ||
### REDIS | ||
## REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose) | ||
## REDIS_PORT - Redis port (Default: 6379) | ||
## REDIS_PASSWORD - Redis password (Default: "") | ||
## WIPE_REDIS_ON_START - Wipes data / index on start (Default: True) | ||
# REDIS_HOST=localhost | ||
# REDIS_PORT=6379 | ||
# REDIS_PASSWORD= | ||
# WIPE_REDIS_ON_START=True | ||
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### WEAVIATE | ||
# MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage | ||
# WEAVIATE_HOST - Weaviate host IP | ||
# WEAVIATE_PORT - Weaviate host port | ||
# WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http') | ||
# USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate | ||
# WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate | ||
# WEAVIATE_USERNAME - Weaviate username | ||
# WEAVIATE_PASSWORD - Weaviate password | ||
# WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication | ||
# MEMORY_INDEX - Name of index to create in Weaviate | ||
WEAVIATE_HOST="127.0.0.1" | ||
WEAVIATE_PORT=8080 | ||
WEAVIATE_PROTOCOL="http" | ||
USE_WEAVIATE_EMBEDDED=False | ||
WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" | ||
WEAVIATE_USERNAME= | ||
WEAVIATE_PASSWORD= | ||
WEAVIATE_API_KEY= | ||
MEMORY_INDEX=AutoGpt | ||
## MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage | ||
## WEAVIATE_HOST - Weaviate host IP | ||
## WEAVIATE_PORT - Weaviate host port | ||
## WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http') | ||
## USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate | ||
## WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate | ||
## WEAVIATE_USERNAME - Weaviate username | ||
## WEAVIATE_PASSWORD - Weaviate password | ||
## WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication | ||
# WEAVIATE_HOST="127.0.0.1" | ||
# WEAVIATE_PORT=8080 | ||
# WEAVIATE_PROTOCOL="http" | ||
# USE_WEAVIATE_EMBEDDED=False | ||
# WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" | ||
# WEAVIATE_USERNAME= | ||
# WEAVIATE_PASSWORD= | ||
# WEAVIATE_API_KEY= | ||
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### MILVUS | ||
# MILVUS_ADDR - Milvus remote address (e.g. localhost:19530) | ||
# MILVUS_COLLECTION - Milvus collection, | ||
# change it if you want to start a new memory and retain the old memory. | ||
MILVUS_ADDR=your-milvus-cluster-host-port | ||
MILVUS_COLLECTION=autogpt | ||
## MILVUS_ADDR - Milvus remote address (e.g. localhost:19530) | ||
## MILVUS_COLLECTION - Milvus collection, | ||
## change it if you want to start a new memory and retain the old memory. | ||
# MILVUS_ADDR=your-milvus-cluster-host-port | ||
# MILVUS_COLLECTION=autogpt | ||
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################################################################################ | ||
### 图像生成支持 | ||
### IMAGE GENERATION PROVIDER | ||
################################################################################ | ||
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### OPEN AI | ||
# IMAGE_PROVIDER - 图像提供者(例如:dalle) | ||
IMAGE_PROVIDER=dalle | ||
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### HUGGINGFACE | ||
# STABLE DIFFUSION | ||
# (默认网址 URL: https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4) | ||
# Set in image_gen.py) | ||
# HUGGINGFACE_API_TOKEN - HuggingFace API 令牌(示例:my-huggingface-api-token) | ||
HUGGINGFACE_API_TOKEN=your-huggingface-api-token | ||
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################################################################################ | ||
### AUDIO TO TEXT PROVIDER | ||
################################################################################ | ||
## IMAGE_PROVIDER - Image provider (Example: dalle) | ||
## IMAGE_SIZE - Image size (Example: 256) | ||
## DALLE: 256, 512, 1024 | ||
# IMAGE_PROVIDER=dalle | ||
# IMAGE_SIZE=256 | ||
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### HUGGINGFACE | ||
HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h | ||
## HUGGINGFACE_IMAGE_MODEL - Text-to-image model from Huggingface (Default: CompVis/stable-diffusion-v1-4) | ||
## HUGGINGFACE_API_TOKEN - HuggingFace API token (Example: my-huggingface-api-token) | ||
# HUGGINGFACE_IMAGE_MODEL=CompVis/stable-diffusion-v1-4 | ||
# HUGGINGFACE_API_TOKEN=your-huggingface-api-token | ||
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################################################################################ | ||
### GIT Provider for repository actions | ||
################################################################################ | ||
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### GITHUB | ||
# GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123) | ||
# GITHUB_USERNAME - Github username | ||
GITHUB_API_KEY=github_pat_123 | ||
GITHUB_USERNAME=your-github-username | ||
### STABLE DIFFUSION WEBUI | ||
## SD_WEBUI_AUTH - Stable diffusion webui username:password pair (Example: username:password) | ||
## SD_WEBUI_URL - Stable diffusion webui API URL (Example: https://127.0.0.1:7860) | ||
# SD_WEBUI_AUTH= | ||
# SD_WEBUI_URL=https://127.0.0.1:7860 | ||
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################################################################################ | ||
### AUDIO TO TEXT PROVIDER | ||
################################################################################ | ||
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### HUGGINGFACE | ||
HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h | ||
# HUGGINGFACE_AUDIO_TO_TEXT_MODEL=facebook/wav2vec2-base-960h | ||
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################################################################################ | ||
### GIT Provider for repository actions | ||
################################################################################ | ||
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### GITHUB | ||
# GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123) | ||
# GITHUB_USERNAME - Github username | ||
GITHUB_API_KEY=github_pat_123 | ||
GITHUB_USERNAME=your-github-username | ||
## GITHUB_API_KEY - Github API key / PAT (Example: github_pat_123) | ||
## GITHUB_USERNAME - Github username | ||
# GITHUB_API_KEY=github_pat_123 | ||
# GITHUB_USERNAME=your-github-username | ||
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################################################################################ | ||
### 语音支持 | ||
### WEB BROWSING | ||
################################################################################ | ||
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### BROWSER | ||
## HEADLESS_BROWSER - Whether to run the browser in headless mode (default: True) | ||
## USE_WEB_BROWSER - Sets the web-browser driver to use with selenium (default: chrome). | ||
## Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser | ||
# HEADLESS_BROWSER=True | ||
# USE_WEB_BROWSER=chrome | ||
## BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunks to summarize (in number of tokens, excluding the response. 75 % of FAST_TOKEN_LIMIT is usually wise ) | ||
# BROWSE_CHUNK_MAX_LENGTH=3000 | ||
## BROWSE_SPACY_LANGUAGE_MODEL is used to split sentences. Install additional languages via pip, and set the model name here. Example Chinese: python -m spacy download zh_core_web_sm | ||
# BROWSE_SPACY_LANGUAGE_MODEL=en_core_web_sm | ||
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# GOOGLE_API_KEY - Google API 密钥(例如:my-google-api-key) | ||
# CUSTOM_SEARCH_ENGINE_ID - 自定义搜索引擎 ID(例如:my-custom-search-engine-id) | ||
GOOGLE_API_KEY=your-google-api-key | ||
CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id | ||
## GOOGLE_API_KEY - Google API key (Example: my-google-api-key) | ||
## CUSTOM_SEARCH_ENGINE_ID - Custom search engine ID (Example: my-custom-search-engine-id) | ||
# GOOGLE_API_KEY=your-google-api-key | ||
# CUSTOM_SEARCH_ENGINE_ID=your-custom-search-engine-id | ||
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################################################################################ | ||
### TTS 提供者 | ||
### TTS PROVIDER | ||
################################################################################ | ||
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### MAC OS 苹果TTS | ||
# USE_MAC_OS_TTS - 是否使用 Mac OS TTS(默认值:False) | ||
USE_MAC_OS_TTS=False | ||
### MAC OS | ||
## USE_MAC_OS_TTS - Use Mac OS TTS or not (Default: False) | ||
# USE_MAC_OS_TTS=False | ||
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### STREAMELEMENTS | ||
# USE_BRIAN_TTS - 是否使用 Brian TTS(默认值:False) | ||
USE_BRIAN_TTS=False | ||
### STREAMELEMENTS | ||
## USE_BRIAN_TTS - Use Brian TTS or not (Default: False) | ||
# USE_BRIAN_TTS=False | ||
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### ELEVENLABS | ||
# ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key) | ||
# ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1) | ||
# ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2) | ||
ELEVENLABS_API_KEY=your-elevenlabs-api-key | ||
ELEVENLABS_VOICE_1_ID=your-voice-id-1 | ||
ELEVENLABS_VOICE_2_ID=your-voice-id-2 | ||
## ELEVENLABS_API_KEY - Eleven Labs API key (Example: my-elevenlabs-api-key) | ||
## ELEVENLABS_VOICE_1_ID - Eleven Labs voice 1 ID (Example: my-voice-id-1) | ||
## ELEVENLABS_VOICE_2_ID - Eleven Labs voice 2 ID (Example: my-voice-id-2) | ||
# ELEVENLABS_API_KEY=your-elevenlabs-api-key | ||
# ELEVENLABS_VOICE_1_ID=your-voice-id-1 | ||
# ELEVENLABS_VOICE_2_ID=your-voice-id-2 | ||
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################################################################################ | ||
### TWITTER API | ||
### TWITTER API | ||
################################################################################ | ||
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TW_CONSUMER_KEY= | ||
TW_CONSUMER_SECRET= | ||
TW_ACCESS_TOKEN= | ||
TW_ACCESS_TOKEN_SECRET= | ||
# TW_CONSUMER_KEY= | ||
# TW_CONSUMER_SECRET= | ||
# TW_ACCESS_TOKEN= | ||
# TW_ACCESS_TOKEN_SECRET= |
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# Upon entering directory, direnv requests user permission once to automatically load project dependencies onwards. | ||
# Eliminating the need of running "nix develop github:superherointj/nix-auto-gpt" for Nix users to develop/use Auto-GPT. | ||
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[[ -z $IN_NIX_SHELL ]] && use flake github:superherointj/nix-auto-gpt |
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[flake8] | ||
max-line-length = 88 | ||
extend-ignore = E203 | ||
select = "E303, W293, W291, W292, E305, E231, E302" | ||
exclude = | ||
.tox, | ||
__pycache__, | ||
*.pyc, | ||
.env | ||
venv/* | ||
.venv/* | ||
reports/* | ||
dist/* | ||
venv*/*, | ||
.venv/*, | ||
reports/*, | ||
dist/*, |
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