Bedrock agent accuracy

To avoid the type of agent responses you're experiencing with Bedrock agents, where the agent reveals its internal thought process or provides both the thinking and response parts, you can take several steps:

1. Customize the post-processing prompt template: This is a crucial step in controlling the final output of your agent. Ensure that your post-processing template explicitly instructs the agent to provide only the final response without including any internal reasoning or thought processes.

2. Refine the orchestration prompt: Modify the orchestration prompt to guide the agent in generating more direct and concise responses. Instruct it to focus on providing user-facing content only.

3. Use advanced prompt templates: Leverage advanced prompt templates to enhance your agent's accuracy and response format. These templates allow you to provide detailed configurations for how the agent should process input and format outputs.

4. Implement a custom parser: If the default parsing doesn't meet your needs, consider implementing a custom parser Lambda function. This gives you more control over how the agent processes and formats its final response.

5. Adjust the system prompt: Ensure your system prompt clearly defines the agent's role and communication style, emphasizing the need for direct, user-friendly responses without revealing internal processes.

6. Test and iterate: Continuously test your agent with various inputs and refine your prompts based on the results. This iterative process will help you achieve more consistent and appropriate responses.

Remember that achieving 100% consistency in responses can be challenging due to the nature of language models. However, by implementing these strategies and fine-tuning your agent's configuration, you should be able to significantly reduce instances of unwanted internal dialogue in the responses.
Sources
Enhance agent's accuracy using advanced prompt templates in Amazon Bedrock - Amazon Bedrock
Configure agent to request information from user to increase accuracy of function prediction - Amazon Bedrock
Bedrock agents not answering to general responses | AWS re:Post