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Agent Hive
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Gym – Model Training
Gym helps you improve models using how your agents actually work in production. Agent Hive can learn from workflow traces (inputs, tools used, outcomes, corrections) to fine-tune models for higher accuracy, better consistency, and stronger alignment to your real tasks. Use Gym when you want a native, platform-managed training loop; while still keeping the flexibility to run workflows with your own model keys when preferred. The result: a fine-tuned model that can be selected inside your flows and used immediately.
Get StartedGym – Model Training
Train and optimize AI models using live workflow data, with no external infrastructure required.
Automatically train models using real execution data and traces from your workflows, ensuring the AI learns from actual success patterns.
Run fine-tuning natively (including RL based optimization where applicable) without external training pipelines or third-party model hosting.
Track trained models, monitor training status, and review configurations and logs through a centralized dashboard.
Deploy fine-tuned models as selectable options inside your flows - no manual redeploy or glue code.
Automatically train models using real execution data and traces from your workflows, ensuring the AI learns from actual success patterns.
Run fine-tuning natively (including RL based optimization where applicable) without external training pipelines or third-party model hosting.
Track trained models, monitor training status, and review configurations and logs through a centralized dashboard.
Deploy fine-tuned models as selectable options inside your flows - no manual redeploy or glue code.