* 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
* update colab link
* typo
* upload file instruction
* update system message and notebooks
* update notebooks
* notebook test
* aoai api version and exclusion
* gpt-3.5-turbo
* dict check
* change model for test
* endpoints, cache_path and func description update
* model list
* gitter -> discord
* response filter
* rewrite implement based on the filter
* multi responses
* abs path
* code handling
* option to not use docker
* context
* eval_only -> raise_error
* notebook
* utils
* utils
* separate tests
* test
* test
* test
* test
* test
* test
* test
* test
* **config in test()
* test
* test
* filename
* improve max_valid_n and doc
* Update README.md
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
* add support for chatgpt
* notebook
* newline at end of file
* chatgpt notebook
* ChatGPT in Azure
* doc
* math
* warning, timeout, log file name
* handle import error
* doc update; default value
* paper
* doc
* docstr
* eval_func
* add a test func in completion
* update notebook
* update math notebook
* improve notebok
* lint and handle exception
* flake8
* exception in test
* add agg_method
* NameError
* refactor
* Update flaml/integrations/oai/completion.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* Update flaml/integrations/oai/completion.py
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* add example
* merge files from oai_eval_test
* Revert "merge files from oai_eval_test"
This reverts commit 1e6a550f91.
* merge
* save results to notebook_output
* update version and cache
* update doc
* save nb cell results to file
* fix typo in model name
* code improvements
* improve docstr
* docstr
* docstr on the Returns of test
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Susan Xueqing Liu <liususan091219@users.noreply.github.com>
* add basic support to Spark dataframe
add support to SynapseML LightGBM model
update to pyspark>=3.2.0 to leverage pandas_on_Spark API
* clean code, add TODOs
* add sample_train_data for pyspark.pandas dataframe, fix bugs
* improve some functions, fix bugs
* fix dict change size during iteration
* update model predict
* update LightGBM model, update test
* update SynapseML LightGBM params
* update synapseML and tests
* update TODOs
* Added support to roc_auc for spark models
* Added support to score of spark estimator
* Added test for automl score of spark estimator
* Added cv support to pyspark.pandas dataframe
* Update test, fix bugs
* Added tests
* Updated docs, tests, added a notebook
* Fix bugs in non-spark env
* Fix bugs and improve tests
* Fix uninstall pyspark
* Fix tests error
* Fix java.lang.OutOfMemoryError: Java heap space
* Fix test_performance
* Update test_sparkml to test_0sparkml to use the expected spark conf
* Remove unnecessary widgets in notebook
* Fix iloc java.lang.StackOverflowError
* fix pre-commit
* Added params check for spark dataframes
* Refactor code for train_test_split to a function
* Update train_test_split_pyspark
* Refactor if-else, remove unnecessary code
* Remove y from predict, remove mem control from n_iter compute
* Update workflow
* Improve _split_pyspark
* Fix test failure of too short training time
* Fix typos, improve docstrings
* Fix index errors of pandas_on_spark, add spark loss metric
* Fix typo of ndcgAtK
* Update NDCG metrics and tests
* Remove unuseful logger
* Use cache and count to ensure consistent indexes
* refactor for merge maain
* fix errors of refactor
* Updated SparkLightGBMEstimator and cache
* Updated config2params
* Remove unused import
* Fix unknown parameters
* Update default_estimator_list
* Add unit tests for spark metrics
Yiran Wu
Chi Wang
Ian
Linxin Song
Beibin Li
Ricky Loynd
Li Jiang
Li Jiang
gagb
Xiaoyun Zhang
“skzhang1”
Jirka Borovec
Qingyun Wu