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Notebook optional user input #2961

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5da2247
Added 'role' as a summary_args and to the reflection_with_llm flow to…
MarianoMolina Apr 26, 2024
fa927f1
Added 'role' as a summary_args and to the reflection_with_llm flow to…
MarianoMolina Apr 26, 2024
04b0597
Added test for summary prompt role assignment
MarianoMolina Apr 27, 2024
eff19ac
Merge branch 'main' into add-role-to-reflection-with-llm
sonichi Apr 29, 2024
953464a
Fixed docstrings and mocked llm-config in the test
MarianoMolina Apr 30, 2024
e973ac3
Fixed docstrings and mocked llm-config in the test
MarianoMolina Apr 30, 2024
d309e15
Update autogen/agentchat/conversable_agent.py
MarianoMolina May 2, 2024
9b3555e
Merge branch 'main' into add-role-to-reflection-with-llm
MarianoMolina May 2, 2024
2dd6b14
ran pre-commit
MarianoMolina May 3, 2024
bf32bf0
ran pre-commit2
MarianoMolina May 3, 2024
72a0e38
Merge branch 'main' into add-role-to-reflection-with-llm
sonichi May 4, 2024
0f3f5d5
fixed old arg name
MarianoMolina May 5, 2024
ed1cdf2
Delete dasdaasd
MarianoMolina May 11, 2024
b23b4ba
Merge branch 'main' into add-role-to-reflection-with-llm
ekzhu May 13, 2024
ba63386
Added notebook with stateflow example of optional user input
MarianoMolina Jun 18, 2024
3b8598b
Merge branch '0.2' into notebook-optional-user-input
ekzhu Oct 2, 2024
7320811
Update notebook/agentchat_groupchat_user_input_stateflow.ipynb
ekzhu Oct 2, 2024
8acbb19
Update notebook/agentchat_groupchat_user_input_stateflow.ipynb
ekzhu Oct 2, 2024
6faadcf
Merge branch '0.2' into notebook-optional-user-input
rysweet Oct 12, 2024
d102543
Merge branch '0.2' into notebook-optional-user-input
rysweet Oct 18, 2024
75b33cb
Merge branch '0.2' into notebook-optional-user-input
rysweet Nov 21, 2024
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2 changes: 1 addition & 1 deletion autogen/agentchat/conversable_agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -1314,7 +1314,7 @@ def _reflection_with_llm(
else:
raise ValueError("No OpenAIWrapper client is found.")
response = self._generate_oai_reply_from_client(llm_client=llm_client, messages=messages, cache=cache)
return response
return self.generate_oai_reply(messages=messages, config=llm_client)
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def _check_chat_queue_for_sender(self, chat_queue: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
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