GLM - CowAgent

Zhipu AI supports text chat, image understanding, speech-to-text (ASR), and embedding. A single zhipu_ai_api_key enables all capabilities.

All capabilities below can be configured in one place via the “Model Management” page in the Web Console, with no need to manually edit the configuration file.

Text Chat

{
  "model": "glm-5.3-flash",
  "zhipu_ai_api_key": "YOUR_API_KEY"
}

Parameter	Description
`model`	Can be `glm-5.3-flash` (recommended, 1M context / 128K max output), `glm-5.3`, `glm-5.2`, `glm-5.1`, `glm-5-turbo`, `glm-5`, `glm-4.7`, `glm-4-plus`, `glm-4-flash`, `glm-4-air`, etc. See model codes
`zhipu_ai_api_key`	Create one in the Zhipu AI Console
`zhipu_ai_api_base`	Optional, defaults to `https://open.bigmodel.cn/api/paas/v4`

Image Understanding

glm-5.3-flash is natively multimodal, so when it is the main model the Agent’s Vision tool uses it directly. Text-only chat models (glm-5.2, glm-5.1, glm-5-turbo, etc.) do not support vision; for those, vision calls automatically fall back to the dedicated glm-5v-turbo model. Once zhipu_ai_api_key is configured, no extra setup is needed.

Speech-to-Text (ASR)

{
  "voice_to_text": "zhipu",
  "voice_to_text_model": "glm-asr-2512"
}

Parameter	Description
`voice_to_text`	Set to `zhipu` to enable Zhipu ASR
`voice_to_text_model`	Optional, defaults to `glm-asr-2512`

Credentials are automatically reused from zhipu_ai_api_key. Audio files should be smaller than 25MB; oversized files may be rejected by the server.

Embedding

{
  "embedding_provider": "zhipu",
  "embedding_model": "embedding-3"
}

Available models: embedding-3, embedding-2. After changing the embedding, run /memory rebuild-index to rebuild the index.

​Text Chat

​Image Understanding

​Speech-to-Text (ASR)

​Embedding

Text Chat

Image Understanding

Speech-to-Text (ASR)

Embedding