Openrouter Agent Migration

Attribution: Sourced from OpenRouterTeam/skills by OpenRouter.

Migrating from @openrouter/sdk to @openrouter/agent

Agent functionality (callModel, tool(), stop conditions, format converters, streaming helpers) has moved from @openrouter/sdk to the standalone @openrouter/agent package. The @openrouter/agent package includes its own OpenRouter client class, so you do not need @openrouter/sdk for agent use cases.

When This Applies

Migrate if your code imports any of these from @openrouter/sdk:

• callModel or uses client.callModel()
• tool() factory function
• Stop conditions: stepCountIs, hasToolCall, maxCost, maxTokensUsed, finishReasonIs
• Format converters: fromClaudeMessages, toClaudeMessage, fromChatMessages, toChatMessage
• Types: Tool, ToolWithExecute, ToolWithGenerator, ManualTool, CallModelInput, ModelResult

Quick Migration

Step 1: Install

npm install @openrouter/agent

If you only use agent features, you can remove @openrouter/sdk:

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

If you also use non-agent SDK features (models list, chat completions, credits, OAuth, API keys), keep both packages installed.

Step 2: Update Imports

The OpenRouter client class and client.callModel() pattern work identically. Only the import source changes:

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

The rest of your code stays the same:

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();

Complete Import Mapping

Client & callModel

A standalone callModel function is also available for advanced use cases where a pre-existing OpenRouterCore instance is available:

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' });

For most use cases, prefer the client.callModel() method shown above.

Tool Creation

Stop Conditions

Types

Format Converters

Type Guards

Before & After Example

Before (using @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();

After (using @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();

The only changes are the three import lines at the top.

When to Keep @openrouter/sdk

Keep @openrouter/sdk installed if you use any of these non-agent features:

For mixed projects, use @openrouter/sdk for these features and @openrouter/agent for agent features:

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),
});

New Features in @openrouter/agent

These features are only available in @openrouter/agent, not in @openrouter/sdk:

Shared Context Schema

Type-safe shared state across all tools in a conversation:

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],
});

Tool Context

Tools can declare their own typed context and access shared context:

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' };
  },
});

Tool Approval Flow

Require user approval before tool execution:

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 }) => { /* ... */ },
});

Turn Lifecycle Callbacks

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`);
  },
});

All Subpath Exports

@openrouter/agent provides granular subpath imports: