* google default auth and svc keyfile for Gemini
* [.Net] Release note for 0.0.14 (#2815)
* update release note
* update trigger
* [.Net] Update website for AutoGen.SemanticKernel and AutoGen.Ollama (#2814)
support vertex ai compute region
* [CAP] User supplied threads for agents (#2812)
* First pass: message loop in main thread
* pypi version bump
* Fix readme
* Better example
* Fixed docs
* pre-commit fixes
* refactoring, minor fixes, update gemini demo ipynb
* add new deps again and reset line endings
* Docstring for the init function. Use private methods
* improve docstring
---------
Co-authored-by: Xiaoyun Zhang <bigmiao.zhang@gmail.com>
Co-authored-by: Rajan <rajan.chari@yahoo.com>
Co-authored-by: Zoltan Lux <z.lux@campus.tu-berlin.de>
* white spaces
* add llamaindex agent wrapper for autogen
* formatting
* formatting fixes
* add support for llamaindex agents
* fix style
* fix style
* delete file
* re-add file
* fixes pre-commit errors
* feat: Add agentchat_group_chat_with_llamaindex_agents notebook
This commit adds the notebook "agentchat_group_chat_with_llamaindex_agents.ipynb" which demonstrates how to integrate Llamaindex agents into Autogen. The notebook includes code for setting up the API endpoint, creating Llamaindex agents, and setting up a group chat.
* Refactor code
* feat: Add test for LLamaIndexConversableAgent
This commit adds a new test file `test_llamaindex_conversable_agent.py` that contains a test case for the `LLamaIndexConversableAgent` class. The test verifies the functionality of group chat with two MultimodalConversable Agents, limiting the chat by the `max_round` parameter. It also checks if the number of rounds does not exceed the maximum specified rounds.
The purpose of this change is to ensure that the `LLamaIndexConversableAgent` behaves as expected and correctly handles group chats with limited rounds.
Note: This commit includes import statements and setup code necessary for running the test case.
* fix formatting
* feat: Add LlamaIndexAgent job to GitHub Actions workflow
This commit adds a new job called "LlamaIndexAgent" to the GitHub Actions workflow. The job runs on multiple operating systems (ubuntu-latest, macos-latest, windows-2019) and uses Python version 3.11. It sets up the Python environment, installs necessary packages and dependencies for LMM, performs coverage testing using pytest, and uploads the coverage report to Codecov.
The commit also includes changes to the test_llamaindex_conversable_agent.py file. It imports os and sys modules, appends a path to sys.path, and adds skip conditions for tests based on certain conditions.
These changes improve the CI/CD pipeline by adding a new job for LlamaIndexAgent and enhancing test conditions in test_llamaindex_conversable_agent.py.
* fix test yaml
* cleanup tests
* fix test run
* formatting
* add test
* fix yaml
* pr feedback
* add documentation to website
* fixed style
* edit to document page
* newline
* make skip reason easier to see
* compose skip reasons
* fix env variable name
* refactor: Update package installation in contrib workflows
- Replaced specific package installations with more general ones
- Updated the installation of llama-index packages and dependencies
- Added new packages for llama-index and Wikipedia tools
* Update dependencies and add new agents for group chat
- Update dependencies to specific versions
- Add new agent `entertainent_specialist` for discovering entertainment opportunities in a location
- Modify the `test_group_chat_with_llama_index_conversable_agent` function to include the new agent in the group chat
* Update pydantic version requirement in setup.py
- Update pydantic version requirement from "pydantic>=1.10,<3,!=2.6.0" to "pydantic>=1.10,<3"
- Remove comment about issue with pydantic 2.6.0
* Refactor ChatMessage instantiation in _extract_message_and_history()
- Refactored the instantiation of ChatMessage in the _extract_message_and_history() function.
- Added an empty dictionary as additional_kwargs to the ChatMessage constructor.
* Refactor test_llamaindex_conversable_agent.py
- Removed unused import and variable
- Updated OpenAI model to gpt-4
- Reduced max_iterations for location_specialist and entertainment_specialist from 30 to 5
- Changed human_input_mode for user_proxy to "NEVER"
- Added assertion for max_rounds in entertainent_assistant
These changes improve code efficiency and ensure proper functionality.
* Remove entertainment_specialist agent and update user_proxy settings in test_llamaindex_conversable_agent.py
- Remove the creation of entertainent_specialist agent
- Update the max_consecutive_auto_reply setting for user_proxy to 10
- Update the default_auto_reply setting for user_proxy to "Thank you. TERMINATE"
* Refactor installation of LlamaIndex packages and dependencies
- Simplify installation commands for LlamaIndex packages
- Remove specific version numbers from pip install commands
* Update test_llamaindex_conversable_agent.py to include verbose output during pytest.
- Add the -v flag to the pytest command in contrib-openai.yml.
- Print a message when skipping the test due to missing dependencies or key.
* Refactor OpenAI workflow, remove LlamaIndexAgent
This commit removes the LlamaIndexAgent from the OpenAI workflow in order to streamline and simplify the code. The LlamaIndexAgent was no longer necessary and its removal improves overall code organization and maintainability.
* feat: Add test for group chat functionality with LLamaIndexConversableAgent
use mock reactagent in test
* Update Dockerfile for devcontainer
- Updated the Dockerfile for the devcontainer environment.
- Added installation of build-essential, npm, git-lfs, and other packages.
- Upgraded pip and installed pydoc-markdown, pyyaml, and colored libraries.
* Update devcontainer.json with new VS Code extensions and terminal settings
- Updated the list of VS Code extensions in devcontainer.json to include "GitHub.copilot"
- Added a new terminal profile for Linux with the path set to "/bin/bash"
- Set the default Linux terminal profile to "bash"
* removeall
* feat: Add Dockerfiles and devcontainer configurations
This commit adds Dockerfiles and devcontainer configurations for different use cases in the `.devcontainer` directory. The following changes were made:
- Added `Dockerfile` for basic setups (`base`)
- Added `Dockerfile` for advanced features (`full`)
- Added `Dockerfile` for AutoGen project developers (`dev`)
- Added `Dockerfile` for AutoGen project developers using Studio (`studio`)
- Updated existing files with necessary dependencies and configurations
- Modified README.md to provide instructions on customizing Dockerfiles and managing the Docker environment
These changes allow users to easily set up their AutoGen development environment using Docker containers.
* delete
* Add authors.yml file with author information
This commit adds the authors.yml file, which contains information about various authors contributing to the project. Each author entry includes their name, title, URL, and image URL. This file will be used to display author information on the website.
* delete
* Add test cases for agent chat functionality
This commit adds new test cases for the agent chat functionality. The test cases include scenarios such as auto feedback from code execution, function calls, currency calculator, async function calls, group chat finite state machine, cost token tracking, and group chat state flow. These test cases cover different versions of Python (3.10, 3.11, and 3.12) and are skipped if OpenAI is not installed or the Python version does not match.
* delete
* feat: Add LLM configuration documentation
This commit adds documentation for configuring an agent's access to LLMs. It includes information on the `llm_config` argument, `config_list`, and other configuration parameters. The commit also provides examples of filtering the `config_list` based on model names and tags. Additionally, it demonstrates how to add an HTTP client in `llm_config` for proxy usage. Finally, it mentions helper functions for loading a config list from API keys, environment variables, files, or `.env` files.
Closes#1234
* delete
* feat: Add LLM configuration documentation
This commit adds documentation for configuring an agent's access to LLMs. It includes information on the `llm_config` argument, `config_list`, and other configuration parameters. The commit also provides examples of filtering the `config_list` based on model names and tags. Additionally, it demonstrates how to add an HTTP client in `llm_config` for proxy usage. Finally, it mentions helper functions for loading a config list from various sources.
Closes#1234
* delete
* adding back notebooks
* reset
* feat: Add setup.py for package installation
This commit adds a new file, `setup.py`, which is used for installing the package. The `setup.py` file includes information such as the author, description, and dependencies of the package. This allows users to easily install and use the package in their projects.
The `setup.py` file also includes different extra requirements for specific functionalities, such as retrieving chat data or running Jupyter notebooks. These extra requirements are installed when specified during installation.
Overall, this addition improves the usability and installation process of the package.
* Added fixes and tests for basic auth format
* User can provide their own connection object. Added test for it.
* Updated instructions on how to use. Fully tested all 3 authentication methods successfully.
* Get password from gitlab secrets.
* Hide passwords.
* Update notebook/agentchat_pgvector_RetrieveChat.ipynb
Co-authored-by: Li Jiang <bnujli@gmail.com>
* Hide passwords.
* Added connection_string test. 3 tests total for auth.
* Fixed quotes on db config params. No other changes found.
* Ran notebook
* Ran pre-commits and updated setup to include psycopg[binary] for windows and mac.
* Corrected list extension.
* Separate connection establishment function. Testing pending.
* Fixed pgvectordb auth
* Update agentchat_pgvector_RetrieveChat.ipynb
Added autocommit=True in example
* Rerun notebook
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* improved deprecation warnings
* compressible_agent test fix
* fix retrieve chat history test
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* add warning if duplicate function is registereed
* check _function_map and llm_config
* check function_map and llm_config
* use register_function and llm_config
* cleanups
* cleanups
* warning test
* warning test
* more test coverage
* use a fake config
* formatting
* formatting
---------
Co-authored-by: Jason <jtoy@grids.local>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* added logger param for custom logger support
* added FileLogger
* bump: spell check
* bump: import error
* added more log functionalites
* bump: builtin logger for FileLogger
* type check and instance level logger
* tests added for the fileLogger
* formatting bump
* updated tests and removed time formatting
* separate module for the filelogger
* update file logger test
* added the FileLogger into the notebook
* bump json decode error
* updated requested changes
* Updated tests with AutoGen agents
* bump file
* bump: logger accessed before intializedsolved
* Updated notebook to guide with a filename
* added thread_id to the FileLogger
* bump type check in tests
* Updated thread_id for each log event
* Updated thread_id for each log event
* Updated with tempfile
* bump: str cleanup
* skipping-windows tests
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* first pass at offline agent eval integration
* Integrating AgentEval for offline scenarios
* removing old changes
* fixing notebook, updating docs
* fixing subcriteria bug
* updating class comment
* cleaning up agent constructors
* moving AgentEval agents to separate folder and adding a brief README
* fixing build breaks
* fixing formatting break
* fixing comments
* consolidating files in the agenteval folder under contrib and cleaning up imports
* fixing import ordering
* adding basic agenteval tests and fixing criteria parsing bug
* first try at adding openai agenteval tests to build process
* adding non-openai agenteval tests to build process
* updating test settings
* updating openai test
* Update test/agentchat/contrib/agent_eval/test_agent_eval.py
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
* Update .github/workflows/contrib-openai.yml
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
* test commit
* updating typing and converting to pydantic objects
* fixing test file
---------
Co-authored-by: Beibin Li <BeibinLi@users.noreply.github.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
* Added 'role' as a summary_args and to the reflection_with_llm flow to be able to pass the role for the summarizing prompt
* Added 'role' as a summary_args and to the reflection_with_llm flow to be able to pass the role for the summarizing prompt, minor docstring adjustments
* Added test for summary prompt role assignment
* Fixed docstrings and mocked llm-config in the test
* Update autogen/agentchat/conversable_agent.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* ran pre-commit
* ran pre-commit2
* fixed old arg name
* Delete dasdaasd
No idea what this file was about
* Fixed incorrect merge update on test_groupchat
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Add ability to use virtual environments in local executor
* Copy environment variables from parent environment
* Fix mypy errors and formatting
* Account for venv on Windows
* Use a virtual environment context object instead of path
* Add utility method to create a virtual environment
* Remove assertion using `_venv_path`
* Add tests for `create_virtual_env`
* Modify test code and add output assertion
* Modify test code and assertion
* Execute activation script before actual command on windows
* Add docs for using a virtual env
* Initial resume
* Cleaned up resume function
* Further updating resuming group chat
* Added async resume_chat and documentation
* Added test cases, refined group chat function parameters
* compiled documentation
* Added tests to main
* Removed mdx file.
* Revert "Merge remote-tracking branch 'origin/main' into groupchatresume"
This reverts commit 8f709308f049d6f07f32a93db6900ef05a130751, reversing
changes made to 8bfcb2bff1.
* Refactored resume to remove initiate_chat
* fix git history
* fix history
* Added clean-up of objects, _groupchat references, and messages_to_string updated
* Added termination-based resumption in notebook, added test cases and improved robustness on resuming messages parameter
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Fix for http client
* fixed constructor to only ignore the http_client while copying
* fixed comment formating
* removed check for http_client and added error message with docs
* fix formatting
* fix formatting
* added test for http-fix
* changed title and content of docs
* changed test func name
* Added requery_on_multiple_speaker_names to GroupChat and updated _finalize_speaker to requery on multiple speaker names (if enabled)
* Removed unnecessary comments
* Update to current main
* Tweak error message.
* Comment clarity
* Expanded description of Group Chat requery_on_multiple_speaker_names
* Reworked to two-way nested chat for speaker selection with default of 2 retries.
* Adding validation of new GroupChat attributes
* Updates as per @ekzhu's suggestions
* Update groupchat
- Added select_speaker_auto_multiple_template and select_speaker_auto_none_template
- Added max_attempts comment
- Re-instated support for role_for_select_speaker_messages
-
* Update conversable_agent.py
Added ability to force override role for a message to support select speaker prompt.
* Update test_groupchat.py
Updated existing select_speaker test functions as underlying approach has changed, added necessary tests for new functionality.
* Removed block for manual selection in select_speaker function.
* Catered for no-selection during manual selection mode
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Add minimum token threshold in MessageHistoryLimiter
* Update transforms tests for the threshold
* Move min_threshold_tokens from Message to Token Limiter
* Optimize _check_tokens_threshold
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
* Apply requested changes (renaming, phrasing, validations)
* Fix format
* Fix _check_tokens_threshold logic
* Update docs and notebook
* Improve phrasing
* Add min_tokens example in notebook
* Add min_tokens example in website docs
* Add min_tokens example in notebook
* Update website docs to be in sync with get_logs change
---------
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Re-added missing notebook
* Test installing postgres
* Error handle the connection.
* Fixed import.
* Fixed import.
* Fixed creation of collection without client.
* PGVector portion working. OpenAI untested.
* Fixed prints.
* Added output.
* Fixed pre-commits.
* Run pgvector notebook
* Improve efficiency of get_collection
* Fix delete_collection
* Fixed issues with pytests and validated functions.
* Validated pytests.
* Fixed pre-commits
* Separated extra_requires to allow more logic. Retrieve_chat base dependencies included on pgvector and qdrant.
* Fixed extra newline.
* Added username and password fields.
* URL Encode the connection string parameters to support symbols like %
* Fixed pre-commits.
* Added pgvector service
* pgvector doesn't have health intervals.
* Switched to colon based key values.
* Run on Ubuntu only. Linux is only option with container service support.
* Using default credentials instead.
* Fix postgres setup
* Fix postgres setup
* Don't skip tests on win and mac
* Fix command error
* Try apt install postgresql
* Assert table does not exist when deleted.
* Raise value error on a empty list or None value provided for IDs
* pre-commit
* Add install pgvector
* Add install pgvector
* Reorg test files, create a separate job for test pgvector
* Fix format
* Fix env format
* Simplify job name, enable test_retrieve_config
* Fix test_retrieve_config
* Corrected behavior for get_docs_by_ids with no ids returning all docs.
* Corrected behavior for get_docs_by_ids with no ids returning all docs.
* Fixed pre-commits.
* Added return values for all functions.
* Validated distance search is implemented correctly.
* Validated all pytests
* Removed print.
* Added default clause.
* Make ids optional
* Fix test, make it more robust
* Bump version of openai for the vector_store support
* Added support for choosing the sentence transformer model.
* Added error handling for model name entered.
* Updated model info.
* Added model_name db_config param.
* pre-commit fixes and last link fix.
* Use secrets password.
* fix: link fixed
* updated tests
* Updated config_list.
* pre-commit fix.
* Added chat_result to all output.
Unable to re-run notebooks.
* Pre-commit fix detected this requirement.
* Fix python 3.8 and 3.9 not supported for macos
* Fix python 3.8 and 3.9 not supported for macos
* Fix format
* Reran notebook with MetaLlama3Instruct7BQ4_k_M
* added gpt model.
* Reran notebook
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Hk669 <hrushi669@gmail.com>
* Add support for HTML, CSS and Javascript in LocalCommandLineCodeExecutor
* init branch
* init branch
* feat: test code execution added
* fix: test update
* fix: test
* fix: policy test
* feat: default policy
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* adapted to openai assistant v2 api
* fix comments
* format code
* fix ci
* Update autogen/agentchat/contrib/gpt_assistant_agent.py
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* PGVector Contrib Initial Commit - KnucklesTeam:autogen:pgvector_contrib fork
* Update website/docs/ecosystem/pgvector.md
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Updated qdrant installation instructions.
* Fixed openai version.
* Added dependencies to install for qdrant and pgvector in contrib tests.
* Added dependencies to install for qdrant and pgvector in contrib tests.
* Cleaned up dependencies.
* Removed flaml out of setup.py. Used only for notebook example.
* Added PGVector notebook link
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* speed up notebook in CI
* improve notebook
* comment about filter
* bug fix for summary
* bump version to 0.2.26
* restrict openai version
* news update
* add tags in example
* Start Gemini integration: works ok with Text now
* Gemini notebook lint
* try catch "import" for Gemini
* Debug: id issue for chat completion in Gemini
* Add RAG example
* Update docs for RAG
* Fix missing pydash
* Remove temp folder
* Fix test error in runs/7206014032/job/19630042864
* Fix tqdm warning
* Fix notebook output
* Gemini's vision model is supported now
* Install instructions for the Gemini branch
* Catch and retry when see Interval Server Error 500
* Allow gemini to take more flexible messages
i.e., it can take messages where "user" is not the last role.
* Use int time for Gemini client
* Handle other exceptions in gemini call
* rename to "create" function for gemini
* GeminiClient compatible with ModelClient now
* Lint
* Update instructions in Gemini notebook
* Lint
* Remove empty blocks from Gemini notebook
* Add gemini into example page
* self.create instead of call
* Add py and Py into python execution
* Remove error code from merging
* Remove pydash dependency for gemini
* Add cloud-gemini doc
* Remove temp file
* cache import update
* Add test case for summary with mm input
* Lint: warnings instead of print
* Add test cases for gemini
* Gemini test config
* Disable default model for gemini
* Typo fix in gemini workflow
* Correct grammar in example notebook
* Raise if "model" is not provided in create(...)
* Move TODOs into a roadmap
* Update .github/workflows/contrib-tests.yml
Co-authored-by: Davor Runje <davor@airt.ai>
* Gemini test config update
* Update setup.py
Co-authored-by: Davor Runje <davor@airt.ai>
* Update test/oai/test_gemini.py
Co-authored-by: Davor Runje <davor@airt.ai>
* Update test/oai/test_gemini.py
Co-authored-by: Davor Runje <davor@airt.ai>
* Remove python 3.8 from gemini
No google's generativeai for Windows with Python 3.8
* Update import error handling for gemini
* Count tokens and cost for gemini
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Davor Runje <davor@airt.ai>
* gather_usage_summary has been updated
* updated cost info to 'usage_including_cached_inference' and 'usage_excluding_cached_inference'
* fix: pre-commit formatting for cost_info
* improved cost explanation and doc
* improved cost info doc
* include - exclude
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Standardize printing of MessageTransforms
* Fix pre-commit black failure
* Add test for transform_messages printing
* Return str instead of printing
* Rename to_print_stats to verbose
* Cleanup
* t i# This is a combination of 3 commits.
Update requirements
* Remove lazy-fixture
* Avoid calling apply_transform in two code paths
* Format
* Replace stats with logs
* Handle no content messages in TokenLimiter get_logs()
* Move tests from test_transform_messages to test_transforms
---------
Co-authored-by: Wael Karkoub <wael.karkoub96@gmail.com>
* Add "py" as lang in conversable agent (#1062)
* Add conditions to allow for python executable variants (#1062)
* reverted import (#1062)
* Parameterized tests, moved Python variants to a constant (#1062)
* Moved Python variants to a constant (#1062)
* Update autogen/code_utils.py (#1062)
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Update autogen/coding/local_commandline_code_executor.py (#1062)
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Added PYTHON_VARIANTS as imported constant (#1062)
* ran pre-commit-check (#1062)
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* support llm_config in agentoptimizer
* fix doc
* restore seed timeout
---------
Co-authored-by: “skzhang1” <“shaokunzhang529@gmail.com”>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Added vectordb base and chromadb
* Remove timer and unused functions
* Added filter by distance
* Added test utils
* Fix format
* Fix type hint of dict
* Rename test
* Add test chromadb
* Fix test no chromadb
* Add coverage
* Don't skip test vectordb utils
* Add types
* Fix tests
* Fix docs build error
* Add types to base
* Update base
* Update utils
* Update chromadb
* Add get_docs_by_ids
* Improve docstring
* Add get all docs
* Move chroma_results_to_query_results to utils
* Improve type hints
* Update logger
* Update init, add embedding func
* Improve docstring of vectordb, add two attributes
* Improve test workflow
* Add isort
* Apply isort on py files
* Fix circular import
* Fix format for notebooks
* Fix format
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Wael Karkoub
Zoltan Lux
Diego Colombo
Chi Wang
Audel Rouhi
jtoy
Mark Sze
Ian
Beibin Li
HRUSHIKESH DOKALA
James Woffinden-Luey
MarianoMolina
R. Singh
Abdur Rahman Nawaz
asandez1
giorgossideris
William W Wang
Eduardo Salinas
saberuster
Shaokun Zhang
Josh Trim
Li Jiang
Davor Runje
Eric Zhu
cheng-tan