glm
Call the GLM API (GLM 5.3 and earlier GLM 5 and 4 series) through RunAPI using OpenAI-compatible Chat Completions. Use for GLM text chat, streaming, or an existing compatibility client that needs the conditional reference.
Rank
62
Safety
84
Downloads
1.1k
Updated
Oct 11, 2026
Version
0.3.3
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 0.3.3release · observed Sep 7, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s1771k6pjxksnjws51x2htfjvd876syh:runapi-glm- Install using `clawhub skill install s1771k6pjxksnjws51x2htfjvd876syh:runapi-glm` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/runapi-ai/runapi-glm before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-runapi-ai-runapi-glm/snapshot"
Documentation
CLAWHUB
47,251 characters of source documentation, loaded on request.
Extracted files
4 files captured from the source.
SKILL.md
---
name: glm
description: Call the GLM API (GLM 5.3 and earlier GLM 5 and 4 series) through RunAPI using OpenAI-compatible Chat Completions. Use for GLM text chat, streaming, or an existing compatibility client that needs the conditional reference.
documentation: https://runapi.ai/models/glm.md
provider_page: https://runapi.ai/providers/z-ai.md
catalog: https://runapi.ai/models.md
metadata:
openclaw:
homepage: https://runapi.ai/models/glm
primaryEnv: OPENAI_API_KEY
requires:
env: [OPENAI_API_KEY, OPENAI_BASE_URL]
envVars:
- {name: OPENAI_API_KEY, required: true, description: RunAPI API key used by OpenAI-compatible GLM clients.}
- {name: OPENAI_BASE_URL, required: true, description: Set to https://runapi.ai/v1 for GLM on RunAPI.}
---
# GLM on RunAPI
Use OpenAI-compatible Chat Completions at `https://runapi.ai/v1` as the primary protocol.
## Primary protocol recipe
### Authenticate
Set `OPENAI_API_KEY` to a RunAPI API key and `OPENAI_BASE_URL` to `https://runapi.ai/v1`.
### Send request
```python
from openai import OpenAI
client = OpenAI(api_key="YOUR_RUNAPI_TOKEN", base_url="https://runapi.ai/v1")
response = client.chat.completions.create(
model="glm-5.3",
messages=[{"role": "user", "content": "Summarize this review."}],
)
print(response.choices[0].message.content)
print(response.usage)
```
For long output, call the same method with `stream=True` and
`stream_options={"include_usage": True}`; consume every chunk through `[DONE]`.
### Verify result
Require final assistant content, a terminal `finish_reason`, and authoritative
`usage`. A stream is complete only after its terminal usage chunk and `[DONE]`.
### Stop boundaries
Correct a rejected shape once using the structured error. Retry transport once
only before any response or Usage and when replay is safe. Record a terminal
error and stop without changing model or protocol. For `glm-5.3`, keep requests
to text history on Chat Completions. Add tools, reasoning, structured output, or
multimodal input only when the current RunAPI contract explicitly verifies that
capability.
## Compatibility protocols
Do not use compatibility protocols with `glm-5.3`; use the primary recipe.
Load [compatibility protocols](references/compatibility-protocols.md) only when an existing client requires Anthropic Messages or Gemini contents for an earlier compatible model.
## GLM-5.3 capability boundary
| Capability | Current behavior |
|---|---|
| Text history, sync, streaming | Supported through OpenAI-compatible Chat Completions |
| OpenAI Responses, Anthropic Messages, Gemini contents | Not supported for `glm-5.3` |
| Tools, reasoning controls, structured output, multimodal input | Not declared pending model-specific evidence |
| Usage | Preserve returned token and cache fields; never infer missing details |
## Supported models
| Model ID | Use when |
|---|---|
| `glm-5.3` | Latest text workloads through Chat Completions |
| `glm-5.2` | Cross-protocol flagshi_meta.json
{
"ownerId": "kn70me4rk7jqjt92evshjeb5z18768g7",
"slug": "runapi-glm",
"version": "0.3.3",
"publishedAt": 1788778895909
}references/compatibility-protocols.md
# GLM compatibility protocols Load this reference only for an existing Anthropic Messages or Gemini contents client. `glm-5.3` is not supported on these compatibility protocols. Use OpenAI-compatible Chat Completions for that model, or select an earlier model whose current RunAPI capability contract supports the required protocol. For Messages, use base URL `https://runapi.ai`, a RunAPI key, a supported exact model ID, `max_tokens`, and text messages. Verify final content, `stop_reason`, and `usage`; streaming ends at `message_stop`. For Gemini contents, set `RUNAPI_MODEL` to a supported exact model ID and use `https://runapi.ai/v1beta/models/$RUNAPI_MODEL:generateContent` or `streamGenerateContent` with `x-goog-api-key`. Verify candidates, `finishReason`, and `usageMetadata`. Apply one evidence-backed shape correction, at most one safe pre-response transport retry, and no automatic model or protocol hopping.
skill-card.md
## Description: Call the GLM API (GLM 5.3 and earlier GLM 5 and 4 series) through RunAPI using OpenAI-compatible Chat Completions. Use for GLM text chat, streaming, or an existing compatibility client that needs the conditional reference. This skill is ready for commercial/non-commercial use. ## Publisher: [runapi-ai](https://clawhub.ai/user/runapi-ai) ### License/Terms of Use: MIT-0 ## Use Case: Developers and engineers use this skill to call GLM models through RunAPI with OpenAI-compatible Chat Completions, including text chat and streaming workflows. Existing compatibility-client users can consult the conditional reference for earlier GLM models. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Sensitive prompts or credentials may be sent to RunAPI when the agent follows the API recipe. Mitigation: Configure OPENAI_API_KEY and OPENAI_BASE_URL deliberately and review RunAPI data handling terms before sending sensitive prompts. Risk: Using compatibility protocols or undeclared capabilities with glm-5.3 can produce rejected or unreliable requests. Mitigation: Use OpenAI-compatible Chat Completions for glm-5.3 and add tools, reasoning controls, structured output, multimodal input, or alternate protocols only when RunAPI explicitly verifies support. ## Reference(s): - [RunAPI GLM model documentation](https://runapi.ai/models/glm.md) - [RunAPI GLM model page](https://runapi.ai/models/glm) - [RunAPI Z.AI provider page](https://runapi.ai/providers/z-ai.md) - [RunAPI model catalog](https://runapi.ai/models.md) - [GLM compatibility protocols](references/compatibility-protocols.md) ## Skill Output: **Output Type(s):** [Guidance, Code, Shell commands, Configuration instructions] **Output Format:** [Markdown with inline Python examples and configuration values] **Output Parameters:** [1D] **Other Properties Related to Output:** [Requires OPENAI_API_KEY and OPENAI_BASE_URL for RunAPI usage.] ## Skill Version(s): 0.3.3 (source: server release evidence) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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