GLM (Z.ai)

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A RocketRide LLM node that connects Zhipu AI's GLM family of open-weight hybrid-reasoning models to a pipeline through the OpenAI-compatible Z.ai cloud API or a self-hosted vLLM or SGLang deployment.

About Zhipu AI GLM

GLM is Zhipu AI's family of open-weight models, served through the OpenAI-compatible Z.ai cloud API (z.ai). The international cloud endpoint is https://api.z.ai/api/paas/v4 and the mainland China endpoint is https://open.bigmodel.cn/api/paas/v4. GLM weights are openly published on Hugging Face under MIT-style licenses (zai-org/GLM-5.2, zai-org/GLM-4.5-Air, and so on), so the same models can be served locally.

What it does

Provides chat completion using GLM models as an llm-class invoke filter. It can be wired directly via lanes or consumed by any agent or node that needs an LLM backend.

The GLM-4.5 through GLM-5 generations are hybrid-reasoning MoE models with thinking and non-thinking modes and strong agentic and coding performance. The vision variants (GLM-4V and GLM-4.5V), embedding, CogView (image), CogVideoX (video), rerank, and audio lines are out of scope for this chat node.

Lanes

Lane in	Lane out	Description
questions	answers	Send a question directly, receive a generated answer

Profiles

Default: GLM-5.2 (glm-5-2). The profile set matches the live Z.ai /models catalog (verified 2026-08).

Profile	Model	Context	Output	Notes
GLM-5.2 (default)	glm-5.2	1,000,000	32,768	Frontier long-context reasoning and coding
GLM-5.1	glm-5.1	204,800	32,768	Previous flagship
GLM-5	glm-5	204,800	32,768	First GLM-5 generation
GLM-5 Turbo	glm-5-turbo	204,800	32,768	Fast cost-effective tier
GLM-4.7	glm-4.7	204,800	32,768	Enhanced-reasoning 4.x flagship
GLM-4.6	glm-4.6	204,800	32,768	Open-weight 4.x flagship

View 3 more models

Profile	Model	Context	Output	Notes
GLM-4.5	glm-4.5	131,072	32,768	Open-weight
GLM-4.5 Air	glm-4.5-air	131,072	32,768	Open-weight, efficient cost/quality balance
custom	(user-specified)	131,072	8,192	Any model on an OpenAI-compatible endpoint

Configuration

Choose a model profile. The profile supplies the model identifier and context window, so a cloud pipeline needs no additional model settings. Budget generous output tokens for reasoning-heavy prompts.

To use a self-hosted vLLM or SGLang deployment, select the Custom Model profile and point its server base URL at your OpenAI-compatible endpoint. Its output limit starts at 8,192 tokens and can be changed there. The API key may be left empty there: the node passes a dummy token, and local servers accept any value.

Authentication

Cloud profiles require a Z.ai or Zhipu AI API key in apikey. The key requirement is enforced by base-URL match: if serverbase contains api.z.ai or bigmodel.cn and no key is set, the node raises GLM API key is required for cloud profiles. at startup. Key format is not validated beyond presence.

Notes

Reasoning output

GLM-4.5+ models are reasoning models. The Z.ai cloud returns reasoning in a separate reasoning_content field, and for endpoints that inline <think>...</think> blocks in content the engine's shared LangChain adapter strips them and routes the reasoning to the thinking lane, so the node needs no stripping of its own.

Model sync

Profiles are maintained by the sync_models tooling (llm_glm provider, ROCKETRIDE_GLM_KEY). The include filter keeps only the glm-* text chat models; vision (4V and 4.5V), embedding, rerank, audio, and reward variants are excluded, because they belong in dedicated nodes.

Upstream docs

• Z.ai API documentation

Schema

Field	Type	Description	Default
glm.profile	string	Model Zhipu AI GLM LLM model	"glm-5-2"
glm.serverbase	string	Server base URL OpenAI-compatible base URL for the GLM endpoint (e.g. https://api.z.ai/api/paas/v4 for the Z.ai cloud API, http://localhost:8000/v1 for a self-hosted vLLM / SGLang server).	"https://api.z.ai/api/paas/v4"
model	string	Model Zhipu AI GLM model
modelOutputTokens	integer	Output Tokens Most tokens the model may write in one reply (at least 1,024). Leave it empty to keep the node's default. Reasoning models count their thinking against this limit: set it well above the reply you expect, or they can spend it all thinking and return nothing. It cannot exceed Tokens; a larger value is lowered to it.
modelTotalTokens	number	Tokens Total Tokens

Dependencies

• openai
• langchain-openai
• langchain-core
• langchain