Novita AI (GLM-5.3)

Overview

GLM-5.3 is a reasoning model from Z.ai that thinks through problems step by step before answering. It supports function calling and structured output, and handles long documents with its 1M token context window and 128K token output capacity — served via Novita AI serverless inference. This circuit provides an OpenAI-compatible chat completion endpoint backed by the zai-org/glm-5.3 model.

Inputs

1. Messages (messages)

• Description: A list of messages comprising the conversation so far.
• Type: array
• Required: Yes

2. Max Tokens (max_tokens)

• Description: The maximum number of tokens to generate in the completion. GLM-5.3 supports up to 128000.
• Type: number
• Default Value: 128000
• Required: No

3. Temperature (temperature)

• Description: Sampling temperature, controls randomness. Range [0.0, 2.0]. Lower values are more deterministic.
• Type: number
• Default Value: 1
• Required: No

4. Top-p (top_p)

• Description: Nucleus sampling. Range [0.01, 1.0]. Recommended to use either this or temperature, not both.
• Type: number
• Default Value: 0.95
• Required: No

5. Reasoning Effort (reasoning_effort)

• Description: Controls reasoning depth. Reasoning is always on for GLM-5.3 and cannot be disabled, only adjusted via this parameter.
• Type: string
• Default Value: max
• Allowed Values: low, high, max
• Required: No

6. Tools (tools)

• Description: A list of tools the model may call. Supports function-type tools.
• Type: array
• Default Value: []
• Required: No

7. Tool Choice (tool_choice)

• Description: Controls how the model selects a tool. auto or none.
• Type: string
• Default Value: auto
• Required: No

Outputs

1. Chat Completion Output (chat_completion_output)

• Description: The generated chat completion text — the model's final answer.
• Value: Accumulated from choices[0].delta.content stream chunks.

2. Reasoning Output (reasoning_output)

• Description: The chain-of-thought reasoning content — the model's thinking process, separate from the final answer.
• Value: Accumulated from choices[0].delta.reasoning_content stream chunks.

3. Chat Completion Tool Calls (chat_completion_tool_calls)

• Description: Tool calls made by the model (if any).
• Value: Accumulated from choices[0].delta.tool_calls stream chunks.

Try It

You can try this circuit directly in the Playground — no setup required.

Notes

1. Reasoning Always On: Reasoning is always on for GLM-5.3 and cannot be disabled. Use reasoning_effort to control depth — max for complex reasoning tasks, low for simple queries.
2. Text-Only Input: GLM-5.3 does not support image, video, or audio input — text only.
3. Long Context: GLM-5.3 supports a 1M token context window with up to 128K output tokens, making it suitable for long-document processing and long-horizon engineering tasks.
4. Function Calling: Supports function calling and structured output via the tools and tool_choice inputs.

Enjoy .....!