三位一体大型思维
Trinity Large Thinking

原始链接: https://openrouter.ai/arcee-ai/trinity-large-thinking

Trinity Large ThinkingOpenRouter 规范了跨提供商的请求和响应。 创建 API 密钥 OpenRouter 支持具有推理能力的模型,可以展示其逐步思考过程。在请求中使用 reasoning 参数启用推理,并在响应中访问 reasoning_details 数组,以查看模型在最终答案之前的内部推理。在继续对话时,将完整的 reasoning_details 传递回模型,以便它可以从上次停止的地方继续推理。了解更多关于推理 token 的信息。 在下面的示例中,OpenRouter 特定的头部是可选的。设置它们可以让您的应用程序出现在 OpenRouter 排名中。 使用第三方 SDK 有关将第三方 SDK 和框架与 OpenRouter 配合使用的信息,请参阅我们的框架文档。 请参阅请求文档以获取所有可能的字段,并参阅参数以获取特定采样参数的说明。

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原文

Sample code and API for Trinity Large Thinking

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

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