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

MarkTechPost published a hands-on guide to GLM-5.2's OpenAI-compatible API, demonstrating reasoning effort control, function calling, tool-using agents, structured JSON output, and long-context retrieval. The tutorial includes token and cost accounting for measurable demos.

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 agent, structured JSON output, and long-context retrieval. We close with token and cost accounting so every demo stays measurable. The post GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval https://www.marktechpost.com/2026/06/22/glm-5-2-openai-compatible-api-a-hands-on-guide-to-reasoning-effort-function-calling-and-long-context-retrieval/ appeared first on MarkTechPost https://www.marktechpost.com .