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docs: add VertexAI ZAI (GLM) documentation

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Chesars 2026-01-19 16:48:43 -03:00
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docs/my-website/docs/providers/vertex_partner.md
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@ -11,6 +11,7 @@ import TabItem from '@theme/TabItem';
|----------|---------------|---------------|
| Anthropic (Claude) | `vertex_ai/claude-*` | [Vertex AI - Anthropic Models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude) |
| DeepSeek | `vertex_ai/deepseek-ai/{MODEL}` | [Vertex AI - DeepSeek Models](https://cloud.google.com/vertex-ai/generative-ai/docs/maas/deepseek) |
| ZAI (GLM) | `vertex_ai/zai-org/{MODEL}` | [Vertex AI - GLM Models](https://cloud.google.com/vertex-ai/generative-ai/docs/maas/zaiorg/glm-47) |
| Meta/Llama | `vertex_ai/meta/{MODEL}` | [Vertex AI - Meta Models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/llama) |
| Mistral | `vertex_ai/mistral-*` | [Vertex AI - Mistral Models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/mistral) |
| AI21 (Jamba) | `vertex_ai/jamba-*` | [Vertex AI - AI21 Models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/ai21) |
@ -226,6 +227,79 @@ ModelResponse(
|------------------|------------------------------|
| vertex_ai/deepseek-ai/deepseek-r1-0528-maas | `completion('vertex_ai/deepseek-ai/deepseek-r1-0528-maas', messages)` |
## VertexAI ZAI (GLM)
| Property | Details |
|----------|---------|
| Provider Route | `vertex_ai/zai-org/{MODEL}` |
| Vertex Documentation | [Vertex AI - GLM Models](https://cloud.google.com/vertex-ai/generative-ai/docs/maas/zaiorg/glm-47) |
**LiteLLM Supports all Vertex AI GLM Models.** Ensure you use the `vertex_ai/zai-org/` prefix for all Vertex AI GLM models.
| Model Name | Usage |
|------------|-------|
| vertex_ai/zai-org/glm-4.7-maas | `completion('vertex_ai/zai-org/glm-4.7-maas', messages)` |
#### Usage
<Tabs>
<TabItem value="sdk" label="SDK">
```python
from litellm import completion
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = ""
response = completion(
model="vertex_ai/zai-org/glm-4.7-maas",
messages=[{"role": "user", "content": "hi"}],
vertex_project="your-vertex-project",
# vertex_location routes to "global"
)
print("\nModel Response", response)
```
</TabItem>
<TabItem value="proxy" label="Proxy">
**1. Add to config**
```yaml
model_list:
- model_name: glm-4.7
litellm_params:
model: vertex_ai/zai-org/glm-4.7-maas
vertex_project: "my-project"
# vertex_location routes to "global"
```
**2. Start proxy**
```bash
litellm --config /path/to/config.yaml
# RUNNING at http://0.0.0.0:4000
```
**3. Test it!**
```bash
curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Authorization: Bearer sk-1234' \
--header 'Content-Type: application/json' \
--data '{
"model": "glm-4.7",
"messages": [
{
"role": "user",
"content": "what llm are you"
}
],
}'
```
</TabItem>
</Tabs>
## VertexAI Meta/Llama API