autogen

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Leonardo Pinheiro 906b09e451 fix: Update SKChatCompletionAdapter message conversion (#5749 ) <!-- Thank you for your contribution! Please review https://microsoft.github.io/autogen/docs/Contribute before opening a pull request. --> <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. --> ## Why are these changes needed? <!-- Please give a short summary of the change and the problem this solves. --> The PR introduces two changes. The first change is adding a name attribute to `FunctionExecutionResult`. The motivation is that semantic kernel requires it for their function result interface and it seemed like a easy modification as `FunctionExecutionResult` is always created in the context of a `FunctionCall` which will contain the name. I'm unsure if there was a motivation to keep it out but this change makes it easier to trace which tool the result refers to and also increases api compatibility with SK. The second change is an update to how messages are mapped from autogen to semantic kernel, which includes an update/fix in the processing of function results. ## Related issue number <!-- For example: "Closes #1234" --> Related to #5675 but wont fix the underlying issue of anthropic requiring tools during AssistantAgent reflection. ## Checks - [ ] 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. - [ ] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [ ] I've made sure all auto checks have passed. --------- Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>		1 year ago
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test_anthropic_model_client.py	fix: Update SKChatCompletionAdapter message conversion (#5749)	1 year ago

test_azure_ai_model_client.py	fix: Add model info validation and improve error messaging (#5556)	1 year ago

test_chat_completion_cache.py	Make ChatCompletionCache support component config (#5658)	1 year ago

test_ollama_chat_completion_client.py	5663 ollama client host (#5674)	1 year ago

test_openai_model_client.py	fix: Update SKChatCompletionAdapter message conversion (#5749)	1 year ago

test_reply_chat_completion_client.py	feat: introduce ModelClientStreamingChunkEvent for streaming model output and update handling in agents and console (#5208)	1 year ago

test_sk_chat_completion_adapter.py	fix: Update SKChatCompletionAdapter message conversion (#5749)	1 year ago

test_utils.py	feat: Support R1 reasoning text in model create result; enhance API docs (#5262)	1 year ago

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

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