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autogen/python/packages/autogen-core
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Leonardo Pinheiro 918292f51e
Semantic kernel model adapter (#4851) 
* initial sk model adapter implementation

* add sk tool module

* implement streaming and update tests

* update lock

* linting

* add semantic kernel extras

* add docstring and format

* update dependencies and format/lint

* add model info to sk constructor

* update uv.lock

* customize prompt settings

* update uv.lock

* add docs

* fix sk docstring linting

* update create docstrings

* fmt and improve tool docstring

* update sk tool docs

* coerce doc json serialization failure

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Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com>
2025-01-18 18:57:20 +10:00
..
docs
Semantic kernel model adapter (#4851)
2025-01-18 18:57:20 +10:00
src/autogen_core
Declarative BaseChat Agents (#5055)
2025-01-16 22:29:40 -08:00
tests
Add ChatCompletionCache along with AbstractStore for caching completions (#4924)
2025-01-16 15:47:38 -08:00
.gitignore
API documentation page flattening (#4556)
2024-12-04 18:24:07 -08:00
LICENSE-CODE
Include license file in package (#3703)
2024-10-09 15:01:09 -04:00
pyproject.toml
Use caching to run tests and report coverage (#5086)
2025-01-17 14:32:18 +00:00
README.md
Make package readmes slightly less empty (#4961)
2025-01-09 10:44:13 -08:00

README.md

AutoGen Core

AutoGen core offers an easy way to quickly build event-driven, distributed, scalable, resilient AI agent systems. Agents are developed by using the Actor model. You can build and run your agent system locally and easily move to a distributed system in the cloud when you are ready.