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resolveLibraryId

docs/agentic-tools/ai-sdk/tools/resolve-library-id.mdx

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The resolveLibraryId tool searches Context7's library database and returns matching results with their Context7-compatible library IDs. This is typically the first step in a documentation lookup workflow.

Usage

typescript
import { resolveLibraryId } from "@upstash/context7-tools-ai-sdk";
import { generateText, stepCountIs } from "ai";
import { openai } from "@ai-sdk/openai";

const { text } = await generateText({
  model: openai("gpt-5.2"),
  prompt: "Find documentation for React hooks",
  tools: {
    resolveLibraryId: resolveLibraryId(),
  },
  stopWhen: stepCountIs(3),
});

Configuration

typescript
resolveLibraryId(config?: Context7ToolsConfig)

Parameters

<ParamField path="config" type="Context7ToolsConfig" optional> Configuration options for the tool. <Expandable title="properties"> <ParamField path="apiKey" type="string" optional> Context7 API key. If not provided, uses the `CONTEXT7_API_KEY` environment variable. </ParamField> </Expandable> </ParamField>

Returns

Returns an AI SDK tool that can be used with generateText, streamText, or agents.

Tool Behavior

When the AI model calls this tool, it:

  1. Takes a query and libraryName parameter from the model
  2. Searches Context7's database for matching libraries
  3. Returns formatted results including:
    • Library ID (e.g., /reactjs/react.dev)
    • Title and description
    • Number of code snippets available
    • Source reputation score
    • Available versions

Input Schema

The tool accepts the following input from the AI model:

<ParamField path="query" type="string" required> The user's original question or task. This is used to rank library results by relevance to what the user is trying to accomplish. </ParamField> <ParamField path="libraryName" type="string" required> Library name to search for (e.g., "react", "next.js", "vue") </ParamField>

Output Format

On success, the tool returns the search results as plain text, formatted for easy consumption by the AI model:

- Title: React Documentation
- Context7-compatible library ID: /reactjs/react.dev
- Description: The library for web and native user interfaces
- Code Snippets: 1250
- Trust Score: High
- Benchmark Score: 98
- Versions: 19.0.0, 18.3.1, 18.2.0
----------
- Title: React Native
- Context7-compatible library ID: /facebook/react-native
- Description: A framework for building native applications using React
- Code Snippets: 890
- Trust Score: High
- Benchmark Score: 95
- Versions: 0.76.0, 0.75.4

On failure:

No libraries found matching "unknown-lib". Try a different search term or check the library name.

Examples

Basic Usage

typescript
import { resolveLibraryId, queryDocs } from "@upstash/context7-tools-ai-sdk";
import { generateText, stepCountIs } from "ai";
import { openai } from "@ai-sdk/openai";

const { text, toolCalls } = await generateText({
  model: openai("gpt-5.2"),
  prompt: "What libraries are available for React?",
  tools: {
    resolveLibraryId: resolveLibraryId(),
    queryDocs: queryDocs(),
  },
  stopWhen: stepCountIs(5),
});

// The model will call resolveLibraryId and receive a list of matching libraries
console.log(text);

With Custom API Key

typescript
import { resolveLibraryId } from "@upstash/context7-tools-ai-sdk";

const tool = resolveLibraryId({
  apiKey: process.env.CONTEXT7_API_KEY,
});

Inspecting Tool Calls

typescript
import { resolveLibraryId } from "@upstash/context7-tools-ai-sdk";
import { generateText, stepCountIs } from "ai";
import { openai } from "@ai-sdk/openai";

const { toolCalls, toolResults } = await generateText({
  model: openai("gpt-5.2"),
  prompt: "Find the official Next.js documentation",
  tools: {
    resolveLibraryId: resolveLibraryId(),
  },
  stopWhen: stepCountIs(3),
});

// See what the model searched for
for (const call of toolCalls) {
  console.log("Searched for:", call.args.libraryName);
}

// See the results
for (const result of toolResults) {
  console.log("Found:", result.result);
}

Selection Guidance

The tool's description instructs the AI model to select libraries based on:

  1. Name similarity - Exact matches are prioritized
  2. Description relevance - How well the description matches the query intent
  3. Documentation coverage - Libraries with more code snippets are preferred
  4. Source reputation - High/Medium reputation sources are more authoritative
  5. Benchmark score - Quality indicator (100 is the highest)
  • queryDocs - Fetch documentation using the resolved library ID
  • Context7Agent - Pre-built agent that handles the full workflow