* 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>
* Adding async support to get_human_input
* Adjust code for Code formatting testing fail
* Adjust the test_async_get_human_input.py to run async on test
* Adjust the test_async_get_human_input.py for pre-commit-check error
* Adjust the test_async_get_human_input.py for pre-commit-check error v2
* Adjust remove unnecessary register_reply
* Adjust test to use asyncio call
* Adjust go back to not use asyncio
* 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
* Replace `assert`s in the `conversable_agent` module with `if-log-raise`.
* Use a `logger` object in the `code_utils` module.
* Replace use of `assert` with `if-log-raise` in the `code_utils` module.
* Replace use of `assert` in the `math_utils` module with `if-not-raise`.
* Replace `assert` with `if` in the `oai.completion` module.
* Replace `assert` in the `retrieve_utils` module with an if statement.
* Add missing `not`.
* Blacken `completion.py`.
* Test `generate_reply` and `a_generate_reply` raise an assertion error
when there are neither `messages` nor a `sender`.
* Test `execute_code` raises an `AssertionError` when neither code nor
filename is provided.
* Test `split_text_to_chunks` raises when passed an invalid chunk mode.
* * Add `tiktoken` and `chromadb` to test dependencies as they're used in
the `test_retrieve_utils` module.
* Sort the test requirements alphabetically.
* minor fix for stablility
* fix format
* fix format
* update run_code logic
* format
* Update conversable_agent.py
* fix format
* Update conversable_agent.py
* add tests
* fix format
* revert changes
