Evaluate API

Your application uses the evaluate endpoint to actually use a rule at runtime - this is separate from the Preview card, which only tests a rule while you’re building it.

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Authentication

The evaluate endpoint accepts a Bearer API-key token, so any external application can call it - no dashboard login needed.

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Request fields

Required:

• entity_type - one of context, prompt, or evaluation.
• fields - a flat key-value map of the current input values to check against your rules’ conditions (e.g. {"model": "gpt-4", "user_tier": "premium"}). Up to 50 fields.

Optional:

• include_entity_data - set to true to get full entity records back in the response, not just IDs.
• entity_inputs - extra, per-entity-type options. For example, when retrieving a prompt, you can pass variables and shouldCompile to get the prompt back with its {{variableName}} placeholders filled in.

Only rules with Status = Active are ever evaluated - Inactive rules are skipped entirely.

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Response shape

• matchingRuleIds - the IDs of the rules that matched.
• entities - references to each matched rule’s linked entities.
• entity_data - present only if include_entity_data was set, keyed by "{entity_type}:{entity_id}" with the full record. Full entity data is currently only populated for context and prompt entity types, not for evaluation.

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Create an API key

• Navigate to Settings → API Keys in OpenLIT.
• Click Create API Key, enter a name, and save the key securely.

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Call the evaluate endpoint

Send a POST to /api/rule-engine/evaluate. The full code examples and request/response schema live in two places, depending on what you need: