autogen/python/packages/autogen-agentchat
Abhijeetsingh Meena c4e07e86d8
Implement 'candidate_func' parameter to filter down the pool of candidates for selection (#5954)
## Summary of Changes
- Added 'candidate_func' to 'SelectorGroupChat' to narrow-down the pool
of candidate speakers.
- Introduced a test in tests/test_group_chat_endpoint.py to validate its
functionality.
- Updated the selector group chat user guide with an example
demonstrating 'candidate_func'.

## Why are these changes needed?
- These changes adds a new parameter `candidate_func` to
`SelectorGroupChat` that helps user narrow-down the set of agents for
speaker selection, allowing users to automatically select next speaker
from a smaller pool of agents.

## Related issue number
Closes #5828

## Checks
- [x] I've included any doc changes needed for
<https://microsoft.github.io/autogen/>. See
<https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to
build and test documentation locally.
- [x] I've added tests (if relevant) corresponding to the changes
introduced in this PR.
- [x] I've made sure all auto checks have passed.

---------

Signed-off-by: Abhijeetsingh Meena <abhijeet040403@gmail.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
2025-03-17 21:03:25 +00:00
..

AutoGen AgentChat

AgentChat is a high-level API for building multi-agent applications. It is built on top of the autogen-core package. For beginner users, AgentChat is the recommended starting point. For advanced users, autogen-core's event-driven programming model provides more flexibility and control over the underlying components.

AgentChat provides intuitive defaults, such as Agents with preset behaviors and Teams with predefined multi-agent design patterns.