Like mods, but for Anthropic's Claude models on Amazon Bedrock

Claude for the command line, with support for Unix like piping (|) and file redirecting (<).

• include pasteboard (aka clipboard) content in prompt to leverage Claude's vision capability (-P includes content of pasteboard in prompt).
• autocomplete for flags, params etc (hit <TAB><TAB>)
• pre-configures prompts (autocomplete enabled), see bods.yaml
• supported Claude models: "anthropic.claude-v2", "anthropic.claude-v2:1", "anthropic.claude-3-sonnet-20240229-v1:0", "anthropic.claude-3-haiku-20240307-v1:0", "anthropic.claude-3-opus-20240229-v1:0"
• set system prompt directly via --system or in config file 'bods.yaml'

$ bods --help
Usage:
  bods [flags]

Flags:
  -a, --assistant string        The message for the assistant role
  -f, --format                  In prompt ask for the response formatting in markdown unless disabled. (default true)
  -h, --help                    help for bods
  -r, --metaprompt-mode         Treat metaprompt input variable like {$CUSTOMER} like Go templates an interactively ask for input.
  -m, --model string            The specific foundation model to use (default is claude-3-sonnet)
  -P, --pasteboard              Get image form pasteboard (clipboard)
  -p, --prompt string           The prompt name (template) to use
  -S, --show-config             Print the bods.yaml settings
  -s, --system string           The system prompt to use; if given will overwrite template system prompt
  -x, --tag-content string      Write output content within this XML tag name in file <tag name>.txt.
  -t, --tokens int              The maximum number of tokens to generate before stopping (default=400)
  -v, --variable-input string   Variable input mapping. If provided input will not be asked for interactively. Currently only for metamode e.g. RUBRIC="software developer",RESUME=file:https://input.txt
      --version                 version for bods

1. An AWS account and credentials specified (e.g. via environment variables AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_REGION); for details see AWS SDK for Go V2 - Specifying Credentials
2. You need access to Anthropic's Claude models granted in Bedrock, see Amazon Bedrock - Model access

brew install rollwagen/tap/bods

OR

go install github.com/rollwagen/bods@latest

OR

Download [releases]: https://github.com/rollwagen/bods/releases

• when installecd with brew, autocompletion is installed and enabled for zsh and bash per default.
• to enable manually (e.g. during development): ZSH example:

__BODS_CMP_ENABLED=1 bods completion zsh > b_cmp.sh; source b_cmp.sh; rm b_cmp.sh

$ bods "Print a CLI shell command that uses curl to check the cluster health of an OpenSearch endpoint listening on port 9200"

curl -XGET 'http:https://localhost:9200/_cluster/health?pretty'

Summarize a YouTube video: get a YouTube transcript with ytt and pipe to bods using a prompt-template for summarization.

Video URL: "AWS re:Invent 2023 - Prompt engineering best practices for LLMs on Amazon Bedrock (AIM377)"

Explain what specific source code does.

One of the included prompts (in 'bods.yaml') is Anthropic's “meta”-prompt.

As per Antrhopic:

The Metaprompt is a long multi-shot prompt filled with half a dozen examples of good prompts for solving various tasks. These examples help Claude to write a good prompt for your task.

See Helper metaprompt(experimental) for details.

To use the metaprompt the recommended command is

bods --prompt metaprompt` --format=false --tag-content Instructions -t 4096

bods will then interactively ask you to enter the the task.

--format=false The metaprompt output includes many XML tag, these might not be rendered correctly (or 'swallowed') in rendered markdown. To see the full raw output, disabling markdown formatting and rendering is recommended.

--tag-content=Instructions Will write any output within the

`<Instructions></Instructions>`

tags in a file with the name of the tag - in this case Instructions.txt. The way the metaprompt is structured, it outputs the generted prompt within <Instructions> xml tags.

The generated prompt will have so called 'input variables'. For example, a task like "Draft an email responding to a customer complaint" an input variable will likely be CUSTOMER_COMPLAINT; snippet of the generated prompt

<Instructions>
You will be drafting a professional email response to a customer complaint.

Here is the text of the customer complaint:
<customer_complaint>{$CUSTOMER_COMPLAINT}</customer_complaint>
...

When using the generate prompt, you will need to 1/ instruct bods to 'watch out' for these input variables that are part of the prompt generated by metaprompt 2/ supply values for these inputs

1/ is addressed by passing the parameter --metaprompt-mode to bods

2/ here you have two options:

2a if you just pass --metaprompt-mode and don't to anything else, bods will ask you for the required input varibles interactively

2b you can pass the the values for these input variable as part of the parameters e.g.

cat Instructions.txt | bods --metaprompt-mode --variable-input CUSTOMER_COMPLAINT="It's been four weeks and I still haven't received my order"

or to use file content as a value for an input value:

cat Instructions.txt | bods --metaprompt-mode --variable-input CUSTOMER_COMPLAINT=file:https://complaint_email.txt

A full workflow for using the metaprompt to generate a prompt for the task

Review a AWS Cloudformation yaml template against architectural and security best practices"

and then using the generated prompt for reviewing an existing Cloudformation file is shown here:

$ echo "PIPED INPUT" | bods --prompt demo "ARGUMENT" < file.txt

{
  "anthropic_version": "bedrock-2023-05-31",
  "messages": [
    {
      "content": "\n\nUSER PROMPT TEXT from 'demo'\n ARGUMENT\n\nPIPED INPUT\nFILE CONTENT\n\n\n Format the response as markdown without enclosing backticks.\n\n",
      "role": "user"
    }
  ],
  "system": "SYSTEM PROMPT TEXT from 'demo'\n",
  "temperature": 1,
  "max_tokens": 1000,
  "top_p": 0.999
}

bods.yaml 'demo' prompt config:

demo:
 max_tokens: 1000
 user: |
   USER PROMPT TEXT from 'demo'
 system: |
  SYSTEM PROMPT TEXT from 'demo'

$ DUMP_PROMPT=1 bods "hello"

{
  "anthropic_version": "bedrock-2023-05-31",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "\n hello \n\n Format the response as markdown without enclosing backticks.\n"
        }
      ]
    }
  ],
  "temperature": 1,
  "max_tokens": 200,
  "top_p": 0.999
}

⚠️ The debug log will contain the complete prompt, including all input passed and included (e.g. via file redirect).

$ DEBUG=1 bods "hello"
DEBUG logging to file /var/folders/jr/43nrkrhj4dg25x1vb035m1n00000gn/T/bods.log

$ cat /var/folders/jr/43nrkrhj4dg25x1vb035m1n00000gn/T/bods.log

debug 2024-04-01 18:20:22.617622 starting mods...
debug config directories: [/Users/rollwagen/Library/Preferences ~/Application Support /Library/Preferences]
debug replacing standard embedded bods.yaml with file content form ~/Library/Application Support/bods/bods.yaml
debug adding prompt from config: summarize
debug config.Prefix: hello
debug starting new tea program...
debug current state is 'startState', appending 'readStdinCmd'
debug readStdInCmd: isInputTerminal=true
debug startMessagesCmd: len(content)=0
debug config.ModelID set to:  anthropic.claude-3-sonnet-20240229-v1:0
debug config.PromptTemplate=  config.SystemPrompt=
...

MIT

Inspiration

• Quite obviously: mods by charm.sh

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