> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fastino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use https://docs.fastino.ai/llms.txt to discover and navigate pages. Use https://docs.fastino.ai/llms-full.txt when you need the complete documentation corpus. Use https://docs.fastino.ai/openapi.json as the source of truth for customer-facing routes. For GLiDE decision inference, call POST https://api.fastino.ai/v1/systemone with model fastino/GLiDE. Start managed training (config job) with POST /v1/training/jobs using base_model. For interactive training, native JSON clients use the public operations under /v1/training/jobs and /v1/training/usage. Existing Tinker clients use tinker==0.32.0 with TINKER_BASE_URL=https://api.fastino.ai/v1/training/compat/tinker and TINKER_CREDENTIAL_CMD. Compatibility child routes are private and absent from OpenAPI. Auto Train is private access and has no public route; direct interested users to sales@fastino.ai. Do not infer undocumented routes. Read API keys from FASTINO_API_KEY and never embed credentials in code, logs, or reports.

# 预热模型

> 在不运行推理的情况下启动冷模型，使后续请求不再返回 425。

`POST /v1/model-status/{model_id}/warm`

在不运行推理的情况下启动冷模型。该调用返回 `202` 和模型状态。此调用不计费，重复调用共享同一次启动。轮询 [`GET /v1/model-status/{model_id}`](https://docs.fastino.ai/cn/api-reference/inference/model-status)，直到 `state` 为 `ready`。

> [card] [相关指南: 重试与模型预热](https://docs.fastino.ai/cn/troubleshooting/retries.md)

## 请求示例

```bash theme={null}
MODEL_ID=fastino/gliner2.5-multi-v1

curl -X POST "https://api.fastino.ai/v1/model-status/$MODEL_ID/warm" \
  -H "X-API-Key: $FASTINO_API_KEY"
```

## 响应示例

```json theme={null}
{
  "model": "fastino/gliner2.5-multi-v1",
  "state": "starting",
  "warming_for_seconds": 0,
  "retry_after_seconds": 15
}
```


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