Prerequisites
- A OneInfer account with API credits
- A current ZCode installation
- An API key stored outside source control
Configure the connection
- 1Create or copy a OneInfer API key.
- 2Point ZCode at the OpenAI-compatible endpoint.
- 3Choose GLM-5.3 as the model.
- 4Restart the tool so it reloads environment settings.
Example
export OPENAI_BASE_URL="https://api.oneinfer.ai/v1/ula"
export OPENAI_API_KEY="$ONEINFER_API_KEY"
# model: glm-5.3Verify it worked
Ask for a short, deterministic task such as explaining one local function. Confirm the response uses the intended model before sending a large repository or document.
Tool-specific operating tips
- Start with a narrow file set before repository-wide work.
- Require a test plan before edits.
- Review generated commands before execution.
- Use higher effort only for tasks that benefit from deeper planning.
Ready to test the workflow?
Create account & add creditsTroubleshooting
| Symptom | Check |
|---|---|
| 401 or 403 | Confirm the key and authentication header. |
| Model not found | Use the exact model identifier exposed by the OneInfer catalog. |
| Unexpected model | Remove cached/default tool configuration and select GLM-5.3 explicitly. |
| High usage | Reduce supplied context and cap output for routine tasks. |
Credential safety
Never paste an API key into a prompt, commit it to a repository, or expose it in browser-delivered code.
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.