* TeamOne agents default to handling one message at a time, exclusively. The default can be overridden by passing a parameter to the BaseAgent constructor.
* +mdb atlas
* Update test/agentchat/contrib/vectordb/test_mongodb.py
Co-authored-by: HRUSHIKESH DOKALA <96101829+Hk669@users.noreply.github.com>
* update test_mongodb.py; we dont need to do the assert .collection_name vs .name
* Try fix mongodb service
* Try fix mongodb service
* Update username and password
* Update autogen/agentchat/contrib/vectordb/mongodb.py
* closer --- but im not super thrilled about the solution...
* PYTHON-4506 Expanded tests and simplified vector search pipelines
* Update mongodb.py
* Update mongodb.py - Casey
* search_index_magic
index_name change; keeping track of lucene indexes is tricky
* Fix format
* Fix tests
* hacking trying to figure this out
* Streamline checks for indexes in construction and restructure tests
* Add tests for score_threshold, embedding inclusion, and multiple query tests
* refactored create_collection to meet base object requirements
* lint
* change the localhost port to 27017
* add test to check that no embedding is there unless explicitly provided
* Update logger
* Add test get docs with ids=None
* Rename and update notebook
* have index management include waiting behaviors
* Adds further optional waits or users and tests. Cleans up upsert.
* ensure the embedding size for multiple embedding inputs is equal to dimensions
* fix up tests and add configuration to ensure documents and indexes are READY for querying
* fix import failure
* adjust typing for 3.9
* fix up the notebook output
* changed language to communicate time taken on first init_chat call
* replace environment variable usage
---------
Co-authored-by: Fabian Valle <fabian.valle-simmons@mongodb.com>
Co-authored-by: HRUSHIKESH DOKALA <96101829+Hk669@users.noreply.github.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Casey Clements <casey.clements@mongodb.com>
Co-authored-by: Jib <jib.adegunloye@mongodb.com>
Co-authored-by: Jib <Jibzade@gmail.com>
Co-authored-by: Cozypet <yanhan860711@gmail.com>
* Added _configure_openai_config_for_bedrock to include aws variables in openai_config, necessary for setting AnthropicBedrock as client.
* Removed aws_session_token from required_keys
* Removed check for aws_session_token
* Removed all checks for aws_session_token
* Ran pre-commit
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: HRUSHIKESH DOKALA <96101829+Hk669@users.noreply.github.com>
* Add tool agent class for convience of creating AI agents
* Merge remote-tracking branch 'origin/main' into ekzhu-tool-agent
* feat: Add return type annotation to test_tool_agent function
* First pass: message loop in main thread
* pypi version bump
* Fix readme
* Better example
* Fixed docs
* pre-commit fixes
* Convenience methods for protobufs
* support non-color consoles
* Non-color console and allow user input
* Minor update to single_threaded_demo
* new pypi version
* pre-commit fixes
* change pypi name
---------
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
* switch to officially supported Vertex AI message sending + safety setting converion for vertexai
* add system instructions
* switch to officially supported Vertex AI message sending + safety setting converion for vertexai
* fix bug in safety settings conversion
* add missing system instructions
* add safety settings to send message
* add support for credentials objects
* add type checkingchange project_id to project arg
* add more tests
* fix mock creation in test
* extend docstring
* fix errors with gemini message format in chats
* add option for vertexai response validation setting & improve docstring
* readding empty message handling
* add more tests
* extend and improve gemini vertexai jupyter notebook
* rename project arg to project_id and GOOGLE_API_KEY env var to GOOGLE_GEMINI_API_KEY
* adjust docstring formatting
* add Use AutoGen.Net agent as model in AG Studio
* add git lfs
* test
* dotnet/nuget/icon.png,dotnet/resource/images/background.png,dotnet/resource/images/square.png,dotnet/test/AutoGen.Anthropic.Tests/images/square.png,dotnet/test/AutoGen.Ollama.Tests/images/image.png,dotnet/test/AutoGen.Ollama.Tests/images/square.png,dotnet/test/AutoGen.Tests/ApprovalTests/square.png,dotnet/website/images/articles/CreateAgentWithTools/single-turn-tool-call-with-auto-invoke.png,dotnet/website/images/articles/CreateAgentWithTools/single-turn-tool-call-without-auto-invoke.png,dotnet/website/images/articles/CreateUserProxyAgent/image-1.png,dotnet/website/images/articles/PrintMessageMiddleware/printMessage.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/FinalStepsA.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/FinalStepsB.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/FinalStepsC.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/Step5.2OpenAIModel.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/Step5.3ModelNameAndURL.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/Step6.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/Step6b.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/Terminal.png,dotnet/website/images/articles/UseAutoGenAsModelinAGStudio/TheModelTab.png,notebook/friendly_and_suspicous.jpg,notebook/nested-chats-chess.png,notebook/nested_chat_1.png,notebook/nested_chat_2.png,notebook/optiGuide_new_design.png,notebook/viz_gc.png,samples/apps/auto-anny/images/icon.png,samples/apps/autogen-studio/docs/ara_stockprices.png,samples/apps/autogen-studio/frontend/src/images/icon.png,test/test_files/test_image.png,website/blog/2023-04-21-LLM-tuning-math/img/level2algebra.png,website/blog/2023-04-21-LLM-tuning-math/img/level3algebra.png,website/blog/2023-04-21-LLM-tuning-math/img/level4algebra.png,website/blog/2023-04-21-LLM-tuning-math/img/level5algebra.png,website/blog/2023-05-18-GPT-adaptive-humaneval/img/design.png,website/blog/2023-05-18-GPT-adaptive-humaneval/img/humaneval.png,website/blog/2023-06-28-MathChat/img/mathchatflow.png,website/blog/2023-06-28-MathChat/img/result.png,website/blog/2023-10-18-RetrieveChat/img/retrievechat-arch.png,website/blog/2023-10-26-TeachableAgent/img/teachable-arch.png,website/blog/2023-11-06-LMM-Agent/img/teaser.png,website/blog/2023-11-09-EcoAssistant/img/chat.png,website/blog/2023-11-09-EcoAssistant/img/results.png,website/blog/2023-11-09-EcoAssistant/img/system.png,website/blog/2023-11-09-EcoAssistant/img/template-demo.png,website/blog/2023-11-09-EcoAssistant/img/template.png,website/blog/2023-11-13-OAI-assistants/img/teaser.jpg,website/blog/2023-11-20-AgentEval/img/agenteval-CQ.png,website/blog/2023-11-20-AgentEval/img/math-problems-plot.png,website/blog/2023-11-20-AgentEval/img/tasks-taxonomy.png,website/blog/2023-11-26-Agent-AutoBuild/img/agent_autobuild.png,website/blog/2023-12-01-AutoGenStudio/img/autogenstudio_config.png,website/blog/2023-12-01-AutoGenStudio/img/autogenstudio_home.png,website/blog/2023-12-01-AutoGenStudio/img/autogenstudio_skills.png,website/blog/2023-12-23-AgentOptimizer/img/agentoptimizer.png,website/blog/2024-01-25-AutoGenBench/img/teaser.jpg,website/blog/2024-02-02-AutoAnny/img/AutoAnnyLogo.jpg,website/blog/2024-02-11-FSM-GroupChat/img/FSM_logic.png,website/blog/2024-02-11-FSM-GroupChat/img/FSM_of_multi-agents.png,website/blog/2024-02-11-FSM-GroupChat/img/teaser.jpg,website/blog/2024-02-29-StateFlow/img/alfworld.png,website/blog/2024-02-29-StateFlow/img/bash_result.png,website/blog/2024-02-29-StateFlow/img/intercode.png,website/blog/2024-02-29-StateFlow/img/sf_example_1.png,website/blog/2024-03-03-AutoGen-Update/img/contributors.png,website/blog/2024-03-03-AutoGen-Update/img/dalle_gpt4v.png,website/blog/2024-03-03-AutoGen-Update/img/gaia.png,website/blog/2024-03-03-AutoGen-Update/img/love.png,website/blog/2024-03-03-AutoGen-Update/img/teach.png,website/blog/2024-03-11-AutoDefense/imgs/architecture.png,website/blog/2024-03-11-AutoDefense/imgs/defense-agency-design.png,website/blog/2024-03-11-AutoDefense/imgs/table-4agents.png,website/blog/2024-03-11-AutoDefense/imgs/table-agents.png,website/blog/2024-03-11-AutoDefense/imgs/table-compared-methods.png,website/blog/2024-05-24-Agent/img/agents.png,website/blog/2024-05-24-Agent/img/leadership.png,website/blog/2024-06-21-AgentEval/img/agenteval_ov_v3.png,website/blog/2024-06-24-AltModels-Classes/img/agentstogether.jpeg,website/docs/Use-Cases/images/agent_example.png,website/docs/Use-Cases/images/app.png,website/docs/Use-Cases/images/autogen_agents.png,website/docs/autogen-studio/img/agent_assistant.png,website/docs/autogen-studio/img/agent_groupchat.png,website/docs/autogen-studio/img/agent_new.png,website/docs/autogen-studio/img/agent_skillsmodel.png,website/docs/autogen-studio/img/ara_stockprices.png,website/docs/autogen-studio/img/model_new.png,website/docs/autogen-studio/img/model_openai.png,website/docs/autogen-studio/img/skill.png,website/docs/autogen-studio/img/workflow_chat.png,website/docs/autogen-studio/img/workflow_export.png,website/docs/autogen-studio/img/workflow_new.png,website/docs/autogen-studio/img/workflow_profile.png,website/docs/autogen-studio/img/workflow_sequential.png,website/docs/autogen-studio/img/workflow_test.png,website/docs/ecosystem/img/ecosystem-composio.png,website/docs/ecosystem/img/ecosystem-databricks.png,website/docs/ecosystem/img/ecosystem-fabric.png,website/docs/ecosystem/img/ecosystem-llamaindex.png,website/docs/ecosystem/img/ecosystem-memgpt.png,website/docs/ecosystem/img/ecosystem-ollama.png,website/docs/ecosystem/img/ecosystem-promptflow.png,website/docs/topics/non-openai-models/images/cloudlocalproxy.png,website/docs/tutorial/assets/code-execution-in-conversation.png,website/docs/tutorial/assets/code-executor-docker.png,website/docs/tutorial/assets/code-executor-no-docker.png,website/docs/tutorial/assets/conversable-agent.jpg,website/docs/tutorial/assets/group-chat.png,website/docs/tutorial/assets/human-in-the-loop.png,website/docs/tutorial/assets/nested-chats.png,website/docs/tutorial/assets/sequential-two-agent-chat.png,website/docs/tutorial/assets/two-agent-chat.png,website/static/img/autogen_agentchat.png,website/static/img/autogen_app.png,website/static/img/chat_example.png,website/static/img/create_gcp_svc.png,website/static/img/gallery/TensionCode.png,website/static/img/gallery/autotx.png,website/static/img/gallery/composio-autogen.png,website/static/img/gallery/default.png,website/static/img/gallery/robot.jpg,website/static/img/gallery/webagent.jpg,website/static/img/gallery/x-force-ide-ui.png: convert to Git LFS
The code was using both `logger.warning` and `print` for showing warning. This commit fixes this inconsistency which can be an issue on production environments / logging systems
* Clarify generalist behav; add fig
* Add instructions for setting bing api key
* Add orchestration txt
* Add img for orch
* fix txt
* Add example for GAIA
* Add example for webarena
* answer q1
* answer q3
* Add what it cannot do
* add section on safety and risk
* basic CI WIP
* change authors to Microsoft
* add Aspire workload
* artificial commit to trigger workflow
* only publish packages if on main branch
* comment out the publishing jobs
* Remove publish from main dotnet CI workflow
