* Groq Client Class - main class and setup, except tests
* Change pricing per K, added tests
* Streaming support, including with tool calling
* Used Groq retries instead of loop, thanks Gal-Gilor!
* Fixed bug when using logging.
---------
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
* First pass together.ai client class
* Config handling, models and cost
* Added tests, moved param management to create function
* Tests, parameter, validation, logging updates
* Added use of client_utils PR 2949
* Updated to return OAI response
* Notebook example
* Improved function calling, updated tests, updated notebook with Chess example
* Tidied up together client class, better parameter handling, simpler exception capture, warning for no cost, reuse in tests, cleaner tests
* Update of documentation notebook, replacement of old version
* Fix of messages parameter for hide_tools function call
* Update autogen/oai/together.py
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
* Update together.py to fix text
---------
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
Co-authored-by: Yiran Wu <32823396+yiranwu0@users.noreply.github.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Initial commit of Mistral client class
* Updated to manage final system message for reflection_with_llm
* Add Mistral support to client class
* Add Mistral support across the board (based on Gemini changes)
* Test file for Mistral client
* Updated handling of config, added notebook for documentation
* Added support for additional API parameters
* Remove unneeded code, updated exception raising
* Updated handling of keywords, including type checks, defaults, warnings. Updated notebook example to remove logging warnings.
* Added class description.
* Updated tests to support new config handling.
* Moved parameter parsing to create function, minimised init, added parameter tests
* Refined parameter validation
* Correct spacing
* Fixed string concat in parameter validation
* Corrected upper/lower bound warning
* Use client_tools, tidy up Mistral create, better handle tool call response, tidy tests
* Update of documentation notebook, replacement of old version
* Update to handle multiple tool_call recommendations in a message
* Updated tests to accommodate multiple tool_calls as well as content in message
* Update autogen/oai/mistral.py comment
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
* cleanup, rewrite mock
* update
---------
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
Co-authored-by: kevin666aa <yrwu000627@gmail.com>
* intial setup for the anthropic client with cost config
* update: other methods added
* fix: formatting
* fix: config unused
* update: changes made in the client
* update: test added to the workflow
* update: added tests to the anthropic client
* fix: errors in workflows and client
* fix
* fix: anthropic tools type
* update: notebook anthropic
* Nonetype fixed
* fix-tests config
* update: tests and client issues
* logger support
* remove sys path
* updated the functioning of the client
* update: type hints and stream
* skip tests- importerror
* fix: anthropic client and tests
* none fix
* Alternating roles, parameter keywords, cost on response,
* update: anthropic notebook
* update: notebook with more details
* devcontainer
* update: added validate_params from the client_utils
* fix: formatting
* fix: minor comment
---------
Co-authored-by: Mark Sze <mark@sze.family>
* 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.
* 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>
* 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>
* 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>
* 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>
* 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>
* 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
* Implement user defined functions feature for local cli exec, add docs
* add tests, update docs
* fixes
* fix test
* add pandas test dep
* install test
* provide template as func
* formatting
* undo change
* address comments
* add test deps
* formatting
* test only in 1 env
* formatting
* remove test for local only
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Introducing IOStream
* bug fixing
* polishing
* refactoring
* refactoring
* refactoring
* wip: async tests
* websockets added
* wip
* merge with main
* notebook added
* FastAPI example added
* wip
* merge
* getter/setter to iostream added
* website/blog/2024-03-03-AutoGen-Update/img/dalle_gpt4v.png: convert to Git LFS
* website/blog/2024-03-03-AutoGen-Update/img/gaia.png: convert to Git LFS
* website/blog/2024-03-03-AutoGen-Update/img/teach.png: convert to Git LFS
* add SSL support
* wip
* wip
* exception handling added to on_connect()
* refactoring: default iostream is being set in a context manager
* test fix
* polishing
* polishing
* polishing
* fixed bug with new thread
* polishing
* a bit of refactoring and docs added
* notebook added to docs
* type checking added to CI
* CI fix
* CI fix
* CI fix
* polishing
* obsolete todo comment removed
* fixed precommit error
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Add vision capability
* Configurate: description_prompt
* Print warning instead of raising issues for type
* Skip vision capability test if dependencies not installed
* Append "vision" to agent's system message when enabled VisionCapability
* GPT-4V notebook update with ConversableAgent
* Clean GPT-4V notebook
* Add vision capability test to workflow
* Lint import
* Update system message for vision capability
* Add a `custom_caption_func` to VisionCapability
* Add custom function example for vision capability
* Skip test Vision capability custom func
* GPT-4V notebook metadata to website
* Remove redundant files
* The custom caption function takes more inputs now
* Add a more complex example of custom caption func
* Remove trailing space
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Add mypy check in pre-commit
* Add mypy check in pre-commit
* bug fix
* CI fix
* add python version matrix for checking types in CI
* update github actions
* revert some accidental changes
* revert some accidental changes
* revert some accidental changes
* revert some accidental changes
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Add mypy check in pre-commit
* Add mypy check in pre-commit
* bug fix
* CI fix
* add python version matrix for checking types in CI
* added 3.12 to CI
---------
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
Xiaoyun Zhang
Li Jiang
HRUSHIKESH DOKALA
Mark Sze
Diego Colombo
Wael Karkoub
Eric Zhu
James Woffinden-Luey
Audel Rouhi
William W Wang
Beibin Li
Shaokun Zhang
Chi Wang
Jack Gerrits
Davor Runje
olgavrou