* set use_docker to default to true
* black formatting
* centralize checking and add env variable option
* set docker env flag for contrib tests
* set docker env flag for contrib tests
* better error message and cleanup
* disable explicit docker tests
* docker is installed so can't check for that in test
* pr comments and fix test
* rename and fix function descriptions
* documentation
* update notebooks so that they can be run with change in default
* add unit tests for new code
* cache and restore env var
* skip on windows because docker is running in the CI but there are problems connecting the volume
* update documentation
* move header
* update contrib tests
* Preparing content for MDX v3
* upgrade dcusarus to v3
* upgrade to v3
* merge main to branch
* space
* change node version to 18
* merge main
* change setup-node version
* bug fix: added escape when needed
* added escape characters in docstrings
* upgraded docusaurus to 3.0.1
* polishing
* restored commented out link
* rename file
* removed backtick
* Add support for MD files in Docusaurus
* Add support for MD files in Docusaurus
* Add support for MD files in Docusaurus
* polishing
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* merge with main and build scripts added
---------
Co-authored-by: Davor Runje <davor@airt.ai>
Co-authored-by: Shaokun Zhang <shaokunzhang529@gmail.com>
Co-authored-by: Victor Dibia <victordibia@microsoft.com>
* try to fix blog
* modify blog
* fix test error in #717; fix blog typo in installation; update blogs with output examples.
* pre-commit
* pre-commit
* Update website/blog/2023-11-26-Agent-AutoBuild/index.mdx
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
* add future work
* fix grammar
* update agent_builder
* solve #941; add detailed debug info; support json string config
* pre-commit
* solve #954
* pre-commit
* [new feature] build group chat agents from library.
* pre-commit
* add authors' info in notebook; add a new notebook for build_from_library; reduce prompt effort
* update test and example for build_from_library
* pre-commit
* add notebook; update docs
* change notebook name
* change description for notebook and doc
* remove default value for default_llm_config
* add embedding similarity agent selection
* pre-commit
* update test
* add dependency installation in github workflow
* update test
* pre-commit
* update notebook
* support directly json as library; support customize embedding model
* update test
* pre-commit
* update github test workflow
* Update autobuild_agent_library.ipynb
* add agent description
* refine prompt; update notebook
* pre-commit
* update test example
* update test
* update test
* update test
* change `config_path` to `config_path_or_env`; update test
* pre-commit
* update test
* update test
* update test: add config_file_location
* change `config_path_or_env` to `config_file_or_env`
* update test
* solve noqa
* fix import error for conftest
* fix test error
* pre-commit
* * update error message in `_create_agent`.
* replace `gpt-4-1106-preview` to `gpt-4` in test file.
* add comment on local server creation; modify notebook; update contrib-openai.yml for test; add autobuild option in setup.py; add autotest model name statement
* move import huggingface_hub to _create_agent
* pre-commit
* add uncover comment in the endpoint creation code block
* recover contrib-openai.yml for merge
---------
Co-authored-by: Jieyu Zhang <jieyuz2@cs.washington.edu>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
* Independent Test Execution and Coverage Reporting
* format
* Apply suggestions from code review
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* add comments
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Change "content" type in Conversable Agent
* content and system_message support str and List
Update for all other agents
* Content_str now also takes None as input
* Group Chat now works with LMM too
* Style: newline for import in Conversable Agentt
* Add test for gourpchat + lmm
* Resolve comments
1. Undo AssistantAgent changes
2. Modify the asserts and raises in `content_str` function and update
test accordingly.
* Undo AssistantAgent
* Update comments and add assertion for LMM
* Typo fix in docstring for content_str
* Remove “None” out conversable_agent.py
* Lint message to dict in multimodal_conversable_agent.py
* Address lint issues
* linting
* Move lmm test into contrib test
* Resolve 2 comments
* Move img_utils into contrib folder
* Resolve img_utils path issues
* Use tqdm to report progress in learn_from_user_feedback()
* Update contrib-openai.yml
Append `pytest-asyncio` to `pip install coverage` for TeachableAgent.
* Replace pytest-asyncio with pytest
* Temporary usage of pull_request action.
* Restore pull_request_target action.
* Update chat_with_teachable_agent.py to v2.
* Update agentchat_teachability.ipynb to v2.
* Add test of teachability accuracy.
* Update installation instructions.
* Add to contrib tests.
* pre-commit fixes
* Apply reviewer suggestions to test workflows.
* Add custom text types and recursive
* Add custom text types and recursive
* Fix format
* Update qdrant, Add pdf to unstructured
* Use unstructed as the default text extractor if installed
* Add tests for unstructured
* Update tests env for unstructured
* Fix error if last message is a function call, issue #569
* Remove csv, md and tsv from UNSTRUCTURED_FORMATS
* Update docstring of docs_path
* Update test for get_files_from_dir
* Update docstring of custom_text_types
* Fix missing search_string in update_context
* Add custom_text_types to notebook example
* Refactor GPTAssistantAgent constructor to handle
instructions and overwrite_instructions flag
- Ensure that `system_message` is always consistent with `instructions`
- Ensure provided instructions are always used
- Add option to permanently modify the instructions of the assistant
* Improve default behavior
* Add a test; add method to delete assistant
* Add a new test for overwriting instructions
* Add test case for when no instructions are given for existing assistant
* Add pytest markers to test_gpt_assistant.py
* add test in workflow
* update
* fix test_client_stream
* comment out test_hierarchy_
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: kevin666aa <yrwu000627@gmail.com>
* LMM Code added
* LLaVA notebook update
* Test cases and Notebook modified for OpenAI v1
* Move LMM into contrib
To resolve test issues and deploy issues
In the future, we can install pillow by default, and then move back
LMM agents into agentchat
* LMM test setup update
* try...except... clause for LMM tests
* disable patch for llava agent test
To resolve dependencies issue for build
* Add LMM Blog
* Change docstring for LMM agents
* Docstring update patch
* llava: insert reply at position 1 now
So, it can still handle human_input_mode
and max_consecutive_reply
* Resolve comments
Fixing: typos, blogs, yml, and add OpenAIWrapper
* Signature typo fix for LMM agent: system_message
* Update LMM "content" from latest OpenAI release
Reference https://platform.openai.com/docs/guides/vision
* update LMM test according to latest OpenAI release
* Fully support GPT-4V now
1. Add a notebook for GPT-4V. LLava notebook also updated.
2. img_utils updated
3. GPT-4V formatter now return base64 image with mime type
4. Infer mime type directly from b64 image content (while loading
without suffix)
5. Test cases modified according to all the related changes.
* GPT-4V link updated in blog
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Initial commit.
* Disable LLM response caching.
* Add teachability option to setup.py
* Modify test to use OAI_CONFIG_LIST as suggested in the docs.
* Expand unit test.
* Complete unit test.
* Add filter_dict
* details
* AnalysisAgent
* details
* More documentation and debug output.
* Support retrieval of any number of relevant memos, including zero.
* More robust analysis separator.
* cleanup
* teach_config
* refactoring
* For robustness, allow more flexibility on memo storage and retrieval.
* de-dupe the retrieved memos.
* Simplify AnalysisAgent. The unit tests now pass with gpt-3.5
* comments
* Add a verbosity level to control analyzer messages.
* refactoring
* comments
* Persist memory on disk.
* cleanup
* Use markdown to format retrieved memos.
* Use markdown in TextAnalyzerAgent
* Add another verbosity level.
* clean up logging
* notebook
* minor edits
* cleanup
* linter fixes
* Skip tests that fail to import openai
* Address reviewer feedback.
* lint
* refactoring
* Improve wording
* Improve code coverage.
* lint
* Use llm_config to control caching.
* lowercase notebook name
* Sort out the parameters passed through to ConversableAgent, and supply full docstrings for the others.
* lint
* Allow TextAnalyzerAgent to be given a different llm_config than TeachableAgent.
* documentation
* Modifications to run openai workflow.
* Test on just python 3.10.
Replace agent with agent teachable_agent as recommended.
* Test on python 3.9 instead of 3.10.
* Remove space from name -> teachableagent
---------
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Add custom embedding function
* Add support to custom vector db
* Improve docstring
* Improve docstring
* Improve docstring
* Add support to customized is_termination_msg fucntion
* Add a test for customize vector db with lancedb
* Fix tests
* Add test for embedding_function
* Update docstring
