* init PR
* update
* update code check
* update
* update
* update
* update
* Test the ability to have agents a,u,t,o,g,e,n speak in turn.
* update
* update
* update
* Evidence that groupchat not terminating because of the TERMINATE substring.
* Raising NoEligibleSpeakerException allows graceful exit before max turns
* update
* To confirm with author that custom function is meant to override graph constraints
* Confirmed the expected test behaviour with author
* Update autogen/agentchat/groupchat.py
* update
* update
---------
Co-authored-by: Joshua Kim <Joshua@spectdata.com>
Co-authored-by: Qingyun Wu <qingyun0327@gmail.com>
* Change name from LocalCommandlineCodeExecutor to LocalCommandLineCodeExecutor
* formatting
* name
* name
* CommandLineCodeResult rename too
* formatting
* Upgrade quarto and include mitigation for title issue, fix links
* repo_root
* dont run quarto independently
* test paths
* test
* resolve intermediate parents
* remove print
* add doc about effects for capabilities
* remove unnecessary imports
* improve doc
* test
* test location
* polish
* improve import of colored
* termcolor
* termcolor
* use pull request for openai test
* resolved errors happening when using function calling and clear history
* checking in nr_of_messages_to_preserve were provided
* code formatting
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* test added, dict signature improved
* Test updated
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
* test improved
* test improved
* comment about preserving additional message added
* commentary about clear history called in tool response improved
* created test for clear hisotry called from tool response
* code formatting
* added 'USER INTERRUPTED' as internal content of tool response
* added separate vatiable 'nr_messages_to_preserve_internal'
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
## What
This modification asks the user to explicitly mention the model used in their experiments.
## Why
Frequently, many issues can be better understood by reviewing the model used. For example, small models have limitations in their ability to generate code in code blocks or follow complex instructions leading to errors.
* Change defualt model for `lmm`
* Try to use PIL image for LMM's _oai_messages
* Update test cases and llava
* Remove redundant files
* Update the imports for lmm tests
* Test case fix
* Docstring update
* LMM notebook lint
* Typo correction for img_utils and its test
* Fix self.client bug for Dalle Agent
The self.client member variable is reserved for OpenAI's LLM-compatible
client, which requires usage summary support.
So, we rename self.client to self._dalle_client to resolve this issue
* make default model of a constant class variable
* make default model of a constant class variable
---------
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
