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The feature aims to allow configuration of an agent's behavior from being predictable to creative by adjusting the llm seed and temperature parameters. Currently, there is no way to modify these settings for a specific agent.
Use Case
This feature is crucial for users who want to control the level of creativity or predictability in the responses and actions of their agents. It can be especially useful in dynamic conversation scenarios, customer service applications, and data analytics tasks.
Steps to Implement
Extend the AssistantAgent class to include methods for setting and getting llm seed & temperature.
Update the agent initialization process to accept configurable llm seed & temperature.
Create unit tests to verify the new functionality works as expected.
Expected Results
After implementation, users should be able to:
Configure llm seed & temperature during agent initialization
Change llm seed & temperature for an existing agent
Observe noticeable changes in agent behavior based on these settings
The text was updated successfully, but these errors were encountered:
Issue Summary
Add functionality for Agent Configurable Predictable -> Creative States, affecting llm seed & temperature.
Feature Description
The feature aims to allow configuration of an agent's behavior from being predictable to creative by adjusting the llm seed and temperature parameters. Currently, there is no way to modify these settings for a specific agent.
Use Case
This feature is crucial for users who want to control the level of creativity or predictability in the responses and actions of their agents. It can be especially useful in dynamic conversation scenarios, customer service applications, and data analytics tasks.
Steps to Implement
AssistantAgent
class to include methods for setting and getting llm seed & temperature.Expected Results
After implementation, users should be able to:
The text was updated successfully, but these errors were encountered: