Issue: Agent replies are missing words

[dekdynamics]

After the latest update, the agent replies quickly, however this question never gets a proper answer:

Note that the 2nd and 5th messages are also from the agent, even though it says "You."

I considered for a moment that Poon, as in Joseph Poon, might be a banned word. There is definitely something interesting about the word:

Other answers are much better and faster than before.

[greptile-apps]

To address the issue of missing words in agent replies, follow these steps:

1. Check Message Handling in Chat.php:

   • Review the sendMessage method in /app/Livewire/Chat.php to ensure messages are being appended correctly.
   • Ensure the runAgentWithoutRag and ragRun methods are correctly processing and appending agent responses.

2. Review Inference Methods:

   • In /app/AI/OpenAIGateway.php, check the inference method for any issues with message streaming and token handling.
   • In /app/AI/SimpleInferencer.php, review the inference method to ensure messages are not being truncated due to token limits. Pay special attention to the getTruncatedMessages method to verify that messages are being correctly truncated and appended.

3. Token Limits and Truncation:

   • Ensure that the remainingTokens and promptTokens are being calculated correctly in SimpleInferencer.php.
   • Verify that the addMessage method in SimpleInferencer.php is correctly handling message tokens and not causing unintended truncation.

4. Debugging:

   • Add logging in the inference methods to capture the full input and output messages for debugging purposes.
   • Check if specific words or phrases are being filtered or causing issues during the inference process.

By following these steps, you should be able to identify and resolve the issue with missing words in agent replies.

References

/app/Livewire/Chat.php
/app/AI/OpenAIGateway.php
/app/AI/SimpleInferencer.php
/app/AI
/app/Livewire/Agents

Ask Greptile

[svemir]

This is not an issue on OpenAgents end. OA currently uses the comman-r-plus model to pose the final question (after combining the user prompt, the agent instructions, and the rag context.) Here is what I get when I ask this question from command-r-plus directly on Cohere website:

[AtlantisPleb]

Hilarious. We'll accelerate allowing agent builders to specify different base models.