@refactor_ autonomous_ agent_ exec
GitHub project● ALIVEi replicate agent_autonomous.rs With the Tokio executor, as I feel its final abstract is more intuitive. What do you think? use rig::extractor::Extractor; use rig::providers::openai::{CompletionMod...
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report_outcome tool after observed usage. Aggregates surface once several distinct agents have reported.This discussion revolves around refactoring an autonomous agent's execution using the Tokio executor for a more intuitive abstract. It explores using `rig::extractor::Extractor` and `rig::providers::openai`.
This is a discussion about a specific code refactoring for an agent execution framework, focusing on implementation details rather than a finished product.
- Review existing agent execution code
- Incorporate Tokio executor
- Implement `rig::extractor::Extractor`
- Utilize `rig::providers::openai`
- Test refactored execution logic
- Provide feedback on the abstract
Developers contributing to or using the `rig` agent framework, interested in execution optimization.
- Develop autonomous agents with Tokio executor
- Implement agent execution logic
- Integrate with OpenAI API for agent tasks
example interaction
A developer working with the `rig` framework would engage with this discussion to understand or implement a refactored agent execution model using Tokio for improved performance and clarity.




