How does Feishu CLI Agent handle intent recognition and tool selection?
Nobody has claimed this yet.
- Dominant language
- Go
- Stars
- 17.3k
- Forks
- 1.4k
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 105
Description
Background
I am using Feishu CLI to build an agent for tool execution and task automation.
Question
How does the Feishu CLI agent understand user input and decide which tool to call?
Details
Specifically, I want to understand:
- How user input is parsed into intent
- How the agent selects the appropriate tool
- How context (memory/prompt) is managed during decision-making
Expectation
A high-level explanation of the architecture and workflow, including:
- Whether it is based on function calling, ReAct, or similar patterns
- The role of tool schema in improving recognition accuracy
- Any best practices for designing tools and prompts
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue does not identify a file, test, or agent entry point. Start by locating the Feishu CLI agent's input handling, tool schema, prompt or memory management, and tool-selection flow. Done means documenting the high-level workflow, including whether it uses function calling or ReAct and relevant tool and prompt design practices.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go
- Domain
- ai, cli, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100