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70c1c44d15
- Add Kimi kimi-k2.7-code (default), kimi-k2.7-code-highspeed, and GLM glm-5.2 (default) - Fix 400 error when disabling thinking on kimi-k2.7-code; omit the thinking param for this series since it only accepts type=enabled - Update README, docs (zh/en/ja), install scripts, and Web console model dropdown
57 lines
1.9 KiB
Plaintext
57 lines
1.9 KiB
Plaintext
---
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title: GLM
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description: Zhipu AI GLM model configuration (Text / Image Understanding / Speech-to-Text / Embedding)
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---
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Zhipu AI supports text chat, image understanding, speech-to-text (ASR), and embedding. A single `zhipu_ai_api_key` enables all capabilities.
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<Tip>
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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.
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</Tip>
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## Text Chat
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```json
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{
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"model": "glm-5.2",
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"zhipu_ai_api_key": "YOUR_API_KEY"
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}
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```
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| Parameter | Description |
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| --- | --- |
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| `model` | Can be `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](https://bigmodel.cn/dev/api/normal-model/glm-4) |
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| `zhipu_ai_api_key` | Create one in the [Zhipu AI Console](https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys) |
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| `zhipu_ai_api_base` | Optional, defaults to `https://open.bigmodel.cn/api/paas/v4` |
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## Image Understanding
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Zhipu's chat models (`glm-5.2`, `glm-5.1`, `glm-5-turbo`, etc.) do not support vision; vision calls are uniformly routed to `glm-5v-turbo`. Once `zhipu_ai_api_key` is configured, the Agent's Vision tool automatically uses this model, with no need to specify it explicitly in the configuration file.
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## Speech-to-Text (ASR)
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```json
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{
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"voice_to_text": "zhipu",
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"voice_to_text_model": "glm-asr-2512"
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}
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```
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| Parameter | Description |
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| --- | --- |
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| `voice_to_text` | Set to `zhipu` to enable Zhipu ASR |
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| `voice_to_text_model` | Optional, defaults to `glm-asr-2512` |
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Credentials are automatically reused from `zhipu_ai_api_key`. Audio files should be smaller than 25MB; oversized files may be rejected by the server.
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## Embedding
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```json
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{
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"embedding_provider": "zhipu",
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"embedding_model": "embedding-3"
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}
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```
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Available models: `embedding-3`, `embedding-2`. After changing the embedding, run `/memory rebuild-index` to rebuild the index.
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