> ## 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. Create managed config jobs with POST /v1/training/jobs using base_model. Both config and interactive jobs use /v1/training/jobs/{job_id} for their canonical REST lifecycle. For custom training loops, use the supported Tinker-compatible SDK client; its /v1/training/compat/tinker adapter is intentionally absent from OpenAPI and must not be called directly. 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.

# Auto Train

> 将数据准备、训练、评估和模型选择委托给 Fastino 的自治训练智能体。

Auto Train 是 Fastino 的私有访问自治训练智能体。你提供训练目标和成功标准，智能体负责规划并运行训练生命周期。

该智能体可以协调：

* 数据集准备和验证
* 候选模型训练和评估
* 问题和审批检查点
* 针对可衡量成功标准的进度
* 交付达到已批准标准的模型

<Note>
  Auto Train 目前为私有访问，不包含在公开 OpenAPI 或 API 参考中。
</Note>

Auto Train 没有公开端点或请求 schema。请勿根据产品名称推断路由。

<Card title="申请私有访问" icon="envelope" href="mailto:sales@fastino.ai">
  联系 [sales@fastino.ai](mailto:sales@fastino.ai)，讨论你的训练目标和访问权限。
</Card>


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