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* 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>
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