dte-dspy

The dte-dspy agent is designed to improve the balance between cost and accuracy in tasks that require language processing. It leverages a system called Disagreement-Triggered Escalation, which uses DSPy and Ollama to intelligently manage how tasks are handled. When initial attempts at a task produce conflicting results, the agent automatically escalates the request to a more capable 'referee' model. This ensures higher accuracy when needed, while keeping costs down by using less powerful models for simpler cases. Developers and researchers working with large language models can benefit from this agent. It's particularly useful for applications where both cost efficiency and reliable results are critical.

This agent addresses the challenge of optimizing cost and accuracy in language tasks, where manually reviewing conflicting results or relying on consistently expensive models becomes impractical. It provides an automated solution to escalate complex cases, ensuring higher quality outputs without unnecessary expense.