Explorer API collects feedback from agent applications #295
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Summary of ChangesHello @pan-x-c, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a robust mechanism for collecting feedback from agent applications interacting with the Explorer API. It establishes a session-based system where experiences generated during a session can be linked and later attributed with a reward, enabling more sophisticated reinforcement learning feedback loops. The changes span the API endpoints, the core service logic for managing experiences, and the client-side integration for agents. Highlights
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Code Review
This pull request introduces a mechanism for collecting feedback from agent applications through new API endpoints. It adds session management to associate experiences with feedback. The overall implementation is sound, but I've identified a critical bug in an API call and a high-severity issue related to the lack of input validation, which could lead to server errors. My review includes suggestions to fix these issues.
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chenyushuo
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Dec 23, 2025
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Description
This PR implements a prototype of Trinity-RFT online mode.
flowchart LR A[User] <--> B[Agent Runner] B <--> |chat| C[Explorer] B --> |feedback| C B --> |commit| C C --> |experience| D[Trainer] D --> |checkpoint| CLimitations to be addressed in the future：
ppo,reinforceplusplus)Checklist
Please check the following items before code is ready to be reviewed.