Access guide

Function calling and structured output with GLM-5.3

Define narrow tools and strict schemas, validate every returned argument, and retry safely when output does not conform.

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Reliable tool workflow

  1. 1Use descriptive tool names and bounded schemas.
  2. 2Reject unknown properties.
  3. 3Validate arguments before execution.
  4. 4Return tool errors as structured data.
  5. 5Limit retries and side effects.

Example schema

Example
{"type":"object","properties":{"ticket_id":{"type":"string"},"priority":{"enum":["low","medium","high"]}},"required":["ticket_id","priority"],"additionalProperties":false}

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Frequently asked questions

Can I try GLM-5.3 before integrating it?

Use the OneInfer GLM-5.3 launcher to open a prepared prompt in the authenticated playground. Availability is checked against the current model catalog.

How should I treat benchmark claims?

Check the provenance label and harness version. Vendor-reported and independently verified results are deliberately shown as different evidence classes.

Put GLM-5.3 to work

Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.

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