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more tuning

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This commit is contained in:
Steve Androulakis
2025-01-02 10:58:40 -08:00
parent d0c200ebe8
commit 2a6cc6e025
1 changed files with 3 additions and 3 deletions
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6
workflows/tool_workflow.py
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@@ -80,9 +80,9 @@ class ToolWorkflow:
tool_data = await workflow.execute_activity_method(
ToolActivities.prompt_llm,
prompt_input,
schedule_to_close_timeout=timedelta(seconds=20),
schedule_to_close_timeout=timedelta(seconds=60),
retry_policy=RetryPolicy(
maximum_attempts=5, initial_interval=timedelta(seconds=15)
maximum_attempts=5, initial_interval=timedelta(seconds=12)
),
)
@@ -121,7 +121,7 @@ class ToolWorkflow:
self.prompt_queue.append(
f"The '{current_tool}' tool completed successfully with {dynamic_result}. "
"INSTRUCTIONS: Use this tool result, and the context_instructions (conversation history) to intelligently pre-fill the next tool's arguments. "
"What should we do next? "
"NOTE: If all listed tools have run, then we should generate a done response. Otherwise: What should we do next? "
)
# The loop continues, and on the next iteration, the workflow sees that new "prompt"
# as if the user typed it, calls the LLM, etc.