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openrouter-agent-migration

openrouter-agent-migration

github.com/openrouterteam开发309319 次安装1 天前更新
代码仓库

关于 openrouter-agent-migration

面向开发者的迁移指南,介绍如何将 Agent 功能从 `@openrouter/sdk` 转至 `@openrouter/agent`,并列出导入路径与独有功能。

主要功能

  1. 01迁移导入路径对照
  2. 02Agent 客户端与模型调用
  3. 03工具定义与停止条件
  4. 04消息格式转换器
  5. 05共享上下文与审批流程

适用场景

  1. 01将 Agent 项目迁至 `@openrouter/agent`
  2. 02在使用 Agent 功能时保留 SDK 功能
  3. 03为工具添加审批或共享上下文

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/openrouterteam/skills --skill openrouter-agent-migration

安装后在 Claude Code 中输入/openrouter-agent-migration确认已加载。

附带文件metadata.jsonREADME.md

详细介绍

从 @openrouter/sdk 迁移到 @openrouter/agent

Agent 功能(callModel、tool()、停止条件、格式转换器、流式处理辅助工具)已从 @openrouter/sdk 移至独立的 @openrouter/agent 包。@openrouter/agent 包包含自己的 OpenRouter 客户端类,因此在使用 Agent 功能时无需安装 @openrouter/sdk。


适用情况

如果你的代码从 @openrouter/sdk 导入以下任何内容,请进行迁移:

  • callModel,或使用 client.callModel()
  • tool() 工厂函数
  • 停止条件:stepCountIs、hasToolCall、maxCost、maxTokensUsed、finishReasonIs
  • 格式转换器:fromClaudeMessages、toClaudeMessage、fromChatMessages、toChatMessage
  • 类型:Tool、ToolWithExecute、ToolWithGenerator、ManualTool、CallModelInput、ModelResult

快速迁移

第 1 步:安装
npm install @openrouter/agent

如果你只使用 Agent 功能,可以移除 @openrouter/sdk:

npm uninstall @openrouter/sdk
npm install @openrouter/agent

如果你还使用非 Agent 的 SDK 功能(模型列表、聊天补全、额度、OAuth、API 密钥),请保留这两个包。

第 2 步:更新导入语句

OpenRouter 客户端类和 client.callModel() 用法完全相同,只需更改导入来源:

- import OpenRouter from '@openrouter/sdk';
+ import { OpenRouter } from '@openrouter/agent';

其余代码保持不变:

const client = new OpenRouter({ apiKey: process.env.OPENROUTER_API_KEY });

const result = client.callModel({
  model: 'openai/gpt-5-nano',
  input: 'Hello!',
});

const text = await result.getText();

完整导入映射

客户端与 callModel
旧版新版
import OpenRouter from '@openrouter/sdk'import { OpenRouter } from '@openrouter/agent'
import OpenRouter, { tool, stepCountIs } from '@openrouter/sdk'import { OpenRouter } from '@openrouter/agent'
import { tool } from '@openrouter/agent/tool'
import { stepCountIs } from '@openrouter/agent/stop-conditions'

对于已有 OpenRouterCore 实例的高级使用场景,也可以使用独立的 callModel 函数:

import { callModel } from '@openrouter/agent/call-model';

// Requires an OpenRouterCore instance (from @openrouter/sdk/core)
const result = callModel(coreInstance, { model: 'openai/gpt-5-nano', input: 'Hello' });

对于大多数使用场景,建议使用上文所示的 client.callModel() 方法。

创建工具
旧版新版
import { tool } from '@openrouter/sdk'import { tool } from '@openrouter/agent/tool'
停止条件
旧版新版
import { stepCountIs, hasToolCall, maxCost } from '@openrouter/sdk'import { stepCountIs, hasToolCall, maxCost } from '@openrouter/agent/stop-conditions'
import { maxTokensUsed, finishReasonIs } from '@openrouter/sdk'import { maxTokensUsed, finishReasonIs } from '@openrouter/agent/stop-conditions'
类型
旧版新版
import type { Tool, ToolWithExecute, ToolWithGenerator, ManualTool } from '@openrouter/sdk/lib/tool-types'import type { Tool, ToolWithExecute, ToolWithGenerator, ManualTool } from '@openrouter/agent/tool-types'
import type { CallModelInput } from '@openrouter/sdk/lib/async-params'import type { CallModelInput } from '@openrouter/agent/async-params'
import { ModelResult } from '@openrouter/sdk/lib/model-result'import { ModelResult } from '@openrouter/agent/model-result'
格式转换器
旧版新版
import { fromClaudeMessages, toClaudeMessage } from '@openrouter/sdk'import { fromClaudeMessages, toClaudeMessage } from '@openrouter/agent'
import { fromChatMessages, toChatMessage } from '@openrouter/sdk'import { fromChatMessages, toChatMessage } from '@openrouter/agent'
类型守卫
旧版新版
import { hasExecuteFunction, isGeneratorTool, isRegularExecuteTool } from '@openrouter/sdk'import { hasExecuteFunction, isGeneratorTool, isRegularExecuteTool } from '@openrouter/agent/tool-types'

迁移前后示例

迁移前(使用 @openrouter/sdk)
import OpenRouter, { tool, stepCountIs, hasToolCall } from '@openrouter/sdk';
import { z } from 'zod';

const client = new OpenRouter({
  apiKey: process.env.OPENROUTER_API_KEY,
});

const searchTool = tool({
  name: 'web_search',
  description: 'Search the web',
  inputSchema: z.object({ query: z.string() }),
  outputSchema: z.object({ results: z.array(z.string()) }),
  execute: async ({ query }) => {
    return { results: ['Result 1', 'Result 2'] };
  },
});

const finishTool = tool({
  name: 'finish',
  description: 'Complete the task',
  inputSchema: z.object({ answer: z.string() }),
  execute: async ({ answer }) => ({ answer }),
});

const result = client.callModel({
  model: 'openai/gpt-5-nano',
  instructions: 'You are a research assistant.',
  input: 'What are the latest AI developments?',
  tools: [searchTool, finishTool],
  stopWhen: [stepCountIs(10), hasToolCall('finish')],
});

const text = await result.getText();
迁移后(使用 @openrouter/agent)
import { OpenRouter } from '@openrouter/agent';
import { tool } from '@openrouter/agent/tool';
import { stepCountIs, hasToolCall } from '@openrouter/agent/stop-conditions';
import { z } from 'zod';

const client = new OpenRouter({
  apiKey: process.env.OPENROUTER_API_KEY,
});

const searchTool = tool({
  name: 'web_search',
  description: 'Search the web',
  inputSchema: z.object({ query: z.string() }),
  outputSchema: z.object({ results: z.array(z.string()) }),
  execute: async ({ query }) => {
    return { results: ['Result 1', 'Result 2'] };
  },
});

const finishTool = tool({
  name: 'finish',
  description: 'Complete the task',
  inputSchema: z.object({ answer: z.string() }),
  execute: async ({ answer }) => ({ answer }),
});

const result = client.callModel({
  model: 'openai/gpt-5-nano',
  instructions: 'You are a research assistant.',
  input: 'What are the latest AI developments?',
  tools: [searchTool, finishTool],
  stopWhen: [stepCountIs(10), hasToolCall('finish')],
});

const text = await result.getText();

唯一的改动是顶部的三行导入语句。


何时保留 @openrouter/sdk

如果你使用以下任何非 Agent 功能,请保留已安装的 @openrouter/sdk:

功能调用方式
模型列表client.models.list()
聊天补全client.chat.send()
旧版补全client.completions.generate()
用量分析client.analytics.getUserActivity()
额度余额client.credits.getCredits()
API 密钥管理client.apiKeys.list()、.create() 等
OAuth PKCE 流程client.oAuth.createAuthCode()、.exchangeAuthCodeForAPIKey()

对于混合项目,使用 @openrouter/sdk 实现这些功能,并使用 @openrouter/agent 实现 Agent 功能:

import OpenRouter from '@openrouter/sdk';               // SDK client for models, credits, etc.
import { OpenRouter as Agent } from '@openrouter/agent'; // Agent client for callModel
import { tool } from '@openrouter/agent/tool';
import { stepCountIs } from '@openrouter/agent/stop-conditions';

// Use SDK client for non-agent features
const sdkClient = new OpenRouter({ apiKey: process.env.OPENROUTER_API_KEY });
const models = await sdkClient.models.list();
const credits = await sdkClient.credits.getCredits();

// Use Agent client for callModel
const agent = new Agent({ apiKey: process.env.OPENROUTER_API_KEY });
const result = agent.callModel({
  model: 'openai/gpt-5-nano',
  input: 'Hello!',
  tools: [myTool],
  stopWhen: stepCountIs(5),
});

@openrouter/agent 的新功能

这些功能仅在 @openrouter/agent 中提供,@openrouter/sdk 中没有:

共享上下文架构

对话中所有工具之间类型安全的共享状态:

import { OpenRouter } from '@openrouter/agent';
import { z } from 'zod';

const client = new OpenRouter({ apiKey: '...' });

const result = client.callModel({
  model: 'openai/gpt-5-nano',
  input: 'Process this data',
  sharedContextSchema: z.object({
    userId: z.string(),
    sessionData: z.record(z.unknown()),
  }),
  context: {
    shared: { userId: '123', sessionData: {} },
  },
  tools: [myTool],
});
工具上下文

工具可以声明自己的类型化上下文并访问共享上下文:

import { tool } from '@openrouter/agent/tool';
import { z } from 'zod';

const myTool = tool({
  name: 'my_tool',
  description: 'A tool with context',
  inputSchema: z.object({ query: z.string() }),
  contextSchema: z.object({ apiKey: z.string() }),
  execute: async (params, context) => {
    // context.local — this tool's own context
    // context.shared — shared context across all tools
    // context.setContext({ ... }) — update this tool's context
    // context.setSharedContext({ ... }) — update shared context
    return { result: 'done' };
  },
});
工具审批流程

要求用户在执行工具前审批:

const dangerousTool = tool({
  name: 'delete_file',
  description: 'Delete a file',
  inputSchema: z.object({ path: z.string() }),
  requireApproval: true, // or a function: (toolCall, context) => boolean
  execute: async ({ path }) => { /* ... */ },
});
轮次生命周期回调
const result = client.callModel({
  model: 'openai/gpt-5-nano',
  input: 'Complex task',
  tools: [myTool],
  onTurnStart: async (context) => {
    console.log(`Starting turn ${context.numberOfTurns}`);
  },
  onTurnEnd: async (context, response) => {
    console.log(`Turn ${context.numberOfTurns} complete`);
  },
});

所有子路径导出

@openrouter/agent 提供精细化的子路径导入:

子路径导出内容
@openrouter/agent汇总入口:包含以下所有导出
@openrouter/agent/clientOpenRouter 类
@openrouter/agent/call-modelcallModel 独立函数
@openrouter/agent/tooltool() 工厂函数
@openrouter/agent/tool-typesTool、ToolWithExecute、ToolWithGenerator、ManualTool、类型守卫
@openrouter/agent/stop-conditionsstepCountIs、hasToolCall、maxCost、maxTokensUsed、finishReasonIs
@openrouter/agent/model-resultModelResult 响应包装器
@openrouter/agent/async-paramsCallModelInput、hasAsyncFunctions、resolveAsyncFunctions
@openrouter/agent/anthropic-compatfromClaudeMessages、toClaudeMessage
@openrouter/agent/chat-compatfromChatMessages、toChatMessage
@openrouter/agent/conversation-statecreateInitialState、updateState、appendToMessages
@openrouter/agent/next-turn-paramsnextTurnParams 工具函数
@openrouter/agent/stream-transformersextractUnsupportedContent、getUnsupportedContentSummary
@openrouter/agent/tool-contextbuildToolExecuteContext、ToolContextStore
@openrouter/agent/tool-event-broadcasterToolEventBroadcaster
@openrouter/agent/turn-contextbuildTurnContext

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