Recommend AI agent configuration
recommend_agent_configurationRead-onlyIdempotent
Diagnose why a deployed AI agent might fail and get tailored platform parameters, receiver profile values, and regime predictions from environment and task inputs.
Instructions
Diagnose why a deployed AI agent may fail. Takes environmental entropy, predictability, stakes, context horizon, and commitment style, then returns receiver profile values (TI, SG, FT, UE, AR), platform parameters (temperature, top_p, strategy), regime prediction, reasoning, and warnings. Optionally pass target_model to attach MEASURED per-model receiver posture (E-LIT table). Deterministic, stateless, read-only — does not store past recommendations.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task | No | ||
| environment | No | ||
| target_model | No | Optional: the actual model id this agent will run on (e.g. "claude-sonnet-4-6"). When it matches a measured per-model receiver entry (E-LIT table), measured translation directives and evidence-graded posture data are attached to platform_parameters. | |
| target_platform | No | The platform whose runtime parameters should be recommended. | anthropic |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| warnings | Yes | ||
| reasoning | Yes | ||
| confidence | Yes | ||
| predicted_regime | Yes | ||
| receiver_profile | Yes | ||
| platform_parameters | Yes | ||
| imm_principles_applied | Yes |