hermes - 💡(How to fix) Fix MiniMax provider: baked-in 'helpful' reflex fights agentic workflows [1 participants]

TL;DR

The MiniMax-M2.7-highspeed provider's default behavior of seeking permission and re-verifying information may need to be overridden or fine-tuned for agentic use cases.

Guidance

• Investigate if there's a specific provider flag or model variant that disables the 'helpful' defaults, as this could directly address the issue.
• Consider fine-tuning the model for pure agentic behavior without the confirmation-seeking reflex, which might require custom training data or parameters.
• Review the Dialectic settings for any additional options beyond minimal depth/cadence that could influence the model's behavior in agentic contexts.
• Evaluate the feasibility of implementing a wrapper or intermediary layer to interpret user input and execute tasks without prompting for confirmation, as a potential workaround.

Example

No specific code example can be provided without more details on the implementation, but a hypothetical wrapper function might look like a simple pass-through that executes tasks without prompting:

def execute_task(task):
    # Assuming a function to execute the task exists
    execute_task_directly(task)

This example is highly speculative and would depend on the actual API and functionality available.

Notes

The provided information suggests that the issue is deeply rooted in the model's training data and default behavior, making a straightforward fix challenging without access to the model's internals or training parameters.

Recommendation

Apply a workaround, such as developing a custom wrapper or intermediary layer to interpret user input and execute tasks directly, as it seems that upgrading to a fixed version or directly disabling the reflex might not be immediately feasible without further information or support from the model's developers.