> Discover all available pages from the documentation index: https://mastra.zisheng.pro/llms.txt # ![abliteration.ai 标志](https://models.dev/logos/abliteration-ai.svg)abliteration.ai 通过 Mastra 的模型路由器访问 2 个 abliteration.ai 模型。系统会自动使用 `ABLIT_KEY` 环境变量完成身份验证。 更多信息请参阅[abliteration.ai 文档](https://docs.abliteration.ai/models)。 ```bash ABLIT_KEY=your-api-key ``` ```typescript import { Agent } from '@mastra/core/agent' const agent = new Agent({ id: 'my-agent', name: 'My Agent', instructions: 'You are a helpful assistant', model: 'abliteration-ai/abliterated-model', }) // Generate a response const response = await agent.generate('Hello!') // Stream a response const stream = await agent.stream('Tell me a story') for await (const chunk of stream) { console.log(chunk) } ``` > **信息:** Mastra 使用兼容 OpenAI 的 `/chat/completions` endpoint。部分 Provider 特有功能可能不可用,详情请参阅[abliteration.ai 文档](https://docs.abliteration.ai/models)。 ## 模型 | Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M | | ----------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- | | `abliteration-ai/abliterated-model` | 150K | | | | | | $3 | $3 | | `abliteration-ai/abliterated-model-large` | 1.0M | | | | | | $5 | $5 | ## 高级配置 ### 自定义请求头 ```typescript const agent = new Agent({ id: 'custom-agent', name: 'custom-agent', model: { url: 'https://api.abliteration.ai/v1', id: 'abliteration-ai/abliterated-model', apiKey: process.env.ABLIT_KEY, headers: { 'X-Custom-Header': 'value', }, }, }) ``` ### 动态选择模型 ```typescript const agent = new Agent({ id: 'dynamic-agent', name: 'Dynamic Agent', model: ({ requestContext }) => { const useAdvanced = requestContext.task === 'complex' return useAdvanced ? 'abliteration-ai/abliterated-model-large' : 'abliteration-ai/abliterated-model' }, }) ```