feat(tools): add HumanTool for human intervention during agent workflows - Step 1 #202
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…vention Abstraction
… experimental agent
Refactored \`human.ts\` to remove unused imports and variables: - Removed unused \`ToolOutput\` import. - Renamed \`options\` to \`_options\` to comply with linting rules for unused variables. Refactored \`io.ts\` to eliminate console statements: - Replaced \`console.error\` with comments for fallback handling. These changes ensure that \`yarn lint\` runs without errors or warnings. Ref: i-am-bee#121
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I am cleaning up the branch and addressing an issue in the implementation. I will open a new PR with a clean and updated branch once the fixes are complete. Thank you for your patience! |
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Which issue(s) does this pull-request address?
Issue #121
Step 1: Define the 'HumanTool' as a tool which can be equipped to any Bee and be invoked by it when it deems there is some missing information required for the following steps and hence must call out to the user to collect it. So I agree with you on the following:
Tool Name: 'HumanTool'
Tool Input: For a Bee to use this tool, it should generate a NL message asking the user for some specific information.
Tool Output: NL response from the end user
BeeAgentRunner 'HumanTool' Execution: The Runner should then execute the HumanTool by sending the NL message to the end user and wait for a response. Once the user has responded, the tool output (message from the user) is appended to the Agent memory and the loop for Action and ActionInput can continue
Closes: #121 - Step 1
Description
1. Implementation of
HumanTool/src/tools/human.tsHumanTool, allows human intervention by:2. Helper for Console Interaction
/src/helpers/io.tssharedConsoleReader) to handle user prompts and display messages cleanly.3. Example Agent
/examples/agents/experimental/humantool_agent.tsHumanTooland use it in a workflow:HumanToolwith an environment variable (USE_HUMAN_TOOL).HumanTool.Testing
yarn lintruns without errors or warnings.Notes
HumanToolis designed for natural language interaction and can be further extended in subsequent steps.Checklist
yarn lintoryarn lint:fixyarn formatoryarn format:fixyarn test:unityarn test:e2e