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GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval

GLM-5.2 just shipped an OpenAI-compatible API. Here's what reasoning effort, function calling, and long-context actually do in production.

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The KeyNews take

Why it matters

GLM-5.2's OpenAI-compatible API enables developers to swap models without rewriting infrastructure. The hands-on walkthrough of reasoning effort, function calling, and long-context retrieval shows how interoperability is becoming table stakes in the AI stack.

The key facts

11 to know
  1. GLM-5.2 offers OpenAI-compatible API

  2. Supports thinking-effort control and streamed reasoning

  3. Function calling and tool-using agent capabilities

  4. Structured JSON output support

  5. Long-context retrieval functionality

  6. Token and cost accounting built-in

  7. Hosted API model (not local deployment)

  8. GLM-5.2 offers OpenAI-compatible API endpoint

  9. Supports thinking-effort control (reasoning configuration)

  10. Includes streamed reasoning output

  11. Token and cost accounting included in demos

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and create a reusable chat wrapper. We then test thinking-effort control, streamed reasoning, function calling, a tool-using…
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