* Add ChatCompletionCache along with AbstractStore for caching completions
* Addressing comments
* Improve interface for cachestore
* Improve documentation & revert protocol
* Make cache store typed, and improve docs
* remove unnecessary casts
* initial base memroy impl
* update, add example with chromadb
* include mimetype consideration
* add transform method
* update to address feedback, will update after 4681 is merged
* update memory impl,
* remove chroma db, typing fixes
* format, add test
* update uv lock
* update docs
* format updates
* update notebook
* add memoryqueryevent message, yield message for observability.
* minor fixes, make score optional/none
* Update python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* update tests to improve cov
* refactor, move memory to core.
* format fixxes
* format updates
* format updates
* fix azure notebook import, other fixes
* update notebook, support str query in Memory protocol
* update test
* update cells
* add specific extensible return types to memory query and update_context
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Split apart component infra to allow for abstract class integration
* fix is_component_class check
* make is_ functions type guards
* Simplify component creation
* undo changes
* Format
* Instantiate and call activate/deactivate on agents
* autoformatting
* remove activate. Rename deactivate to close
* remove unneeded import
* create close fn in runtime
* change runtime close behavior
* uv.lock
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Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* Decouple model_context from AssistantAgent
* add UnboundedBufferedChatCompletionContext to mimic pervious model_context behaviour on AssistantAgent
* moving unbounded buffered chat to a different file
* fix model_context assertions in test_group_chat
* Refactor model context, introduce states
* fixes
* update
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Co-authored-by: aditya.kurniawan <aditya.kurniawan@core42.ai>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
* Move LLMUsageTracker to a cookbook
* rename, add to index
* fmt and remove test
* Update python/packages/autogen-core/docs/src/user-guide/core-user-guide/cookbook/llm-usage-logger.ipynb
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Fix missing quotation marks in notebook
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* add protobuf serialization test
* proto file regeneration
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Co-authored-by: Ryan Sweet <rysweet@microsoft.com>
Co-authored-by: Mohammad Mazraeh <Mazraeh.Mohammad@Gmail.com>
When the tool expects complex inputs that require nested models, pydantic will generate a JSON Schema that will include references to other schemas using the `$ref` keyword (cf https://json-schema.org/understanding-json-schema/structuring#dollarref).
But the `$ref` keyword is not supported by OpenAI.
This fix:
1. Resolves the references and inlines the corresponding schemas.
2. Removes the then useless root `$defs` field of the JSON schema to save tokens.
Co-authored-by: Jean-Marc Le Roux <contact@jmlx.io>
Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
* Remove isinstance check from FunctionTool (#3987)
* Move __init__ Args to class docstring
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Run LocalCommandLineCodeExecutor within venv
* Remove create_virtual_env func and add docstring
* Add explanation for LocalCommandLineExecutor docstring example
* Enhance docstring example explanation
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Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* WIP implementation for agentchat
* WIP
* WIP
* wip
* WIP
* WIP
* WIP
* WIP
* fix types
* format
* fix build
* Fix build
* use a simpler implementation of thread -- list
* Select speaker to return speaker topic type
* add parent topic type to agent container
* Address comments
* Add check to make sure agent id is constant in a team run.
* Fix build
