effect-uai-structured-output
effect-uai structured-output
The model returns a typed JSON object instead of prose. One Effect Schema is used twice: provider-side as a JSON Schema constraint, and locally as a decoder for the assembled response.
Reach for this when the user says any of:
- "I want the model to fill out a form / return a typed object"
- "Extract entities / fields / a recipe from this input"
- "Classify this into a structured shape"
Define the contract
More from betalyra/effect-uai
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Use when the user wants a long-lived chat agent that pulls user messages from a queue, debounces typing bursts into one batch, and only checks for new input between cleanly-finished turns. Mid-task tool exchanges run uninterrupted; new messages are buffered until the next clean turn boundary.
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Use when the user wants the canonical effect-uai agent loop — stream a model turn, run any tools the model asks for, append outputs, continue until the model produces a final answer. The starting shape every other recipe is a variation of.
2effect-uai-model-retry
Use when the user wants to retry transient model failures (rate limits, transport hiccups, timeouts) with exponential backoff, while letting non-retryable failures (content filtered, auth, invalid request, context length) propagate immediately. Inline pipeline with no helper service.
2effect-uai-model-council
Use when the user wants three (or more) models to answer the same question, score each other's answers (no self-judging), and emit a winner — e.g. consensus voting, audit, automated quality picking. Pure Stream composition; no Queue, no Deferred, no manual forks.
2effect-uai-pause-resume
Use when the user wants to soft-pause the agent loop between turns (no provider call held open) and resume later — e.g. cooldown after rate-limit, manual UI pause button, scheduled gating. State threads through naturally; resume picks up exactly where pause left off, no checkpointing needed.
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