LibreChat/api/app/clients/tools/structured/TavilySearch.js
Danny Avila 1b79e0b785
🧬 chore: Align LibreChat With Agents LangChain Upgrade (#12922)
* 🔧 chore: Update dependencies in package-lock.json and package.json

- Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files.
- Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance.

* 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json

- Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability.
- Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality.

* chore: Align LibreChat with agents LangChain upgrade

- Route LangChain imports through @librechat/agents facade exports
- Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps
- Normalize nullable agent model params and API key override typing
- Update Google thinking config typing for newer LangChain packages
- Refresh targeted audit-related dependency overrides

* chore: Add Jest types for API specs

* test: Fix LangChain upgrade CI specs

* test: Exercise agents env facade

* fix: Clean up TS preview diagnostics

* fix: Address Codex review feedback
2026-05-03 12:46:01 -04:00

77 lines
2.4 KiB
JavaScript

const { z } = require('zod');
const { ProxyAgent, fetch } = require('undici');
const { tool } = require('@librechat/agents/langchain/tools');
const { getApiKey } = require('./credentials');
function createTavilySearchTool(fields = {}) {
const envVar = 'TAVILY_API_KEY';
const override = fields.override ?? false;
const apiKey = fields.apiKey ?? getApiKey(envVar, override);
const kwargs = fields?.kwargs ?? {};
return tool(
async (input) => {
const { query, ...rest } = input;
const requestBody = {
api_key: apiKey,
query,
...rest,
...kwargs,
};
const fetchOptions = {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(requestBody),
};
if (process.env.PROXY) {
fetchOptions.dispatcher = new ProxyAgent(process.env.PROXY);
}
const response = await fetch('https://api.tavily.com/search', fetchOptions);
const json = await response.json();
if (!response.ok) {
throw new Error(`Request failed with status ${response.status}: ${json.error}`);
}
return JSON.stringify(json);
},
{
name: 'tavily_search_results_json',
description:
'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.',
schema: z.object({
query: z.string().min(1).describe('The search query string.'),
max_results: z
.number()
.min(1)
.max(10)
.optional()
.describe('The maximum number of search results to return. Defaults to 5.'),
search_depth: z
.enum(['basic', 'advanced'])
.optional()
.describe(
'The depth of the search, affecting result quality and response time (`basic` or `advanced`). Default is basic for quick results and advanced for indepth high quality results but longer response time. Advanced calls equals 2 requests.',
),
include_images: z
.boolean()
.optional()
.describe(
'Whether to include a list of query-related images in the response. Default is False.',
),
include_answer: z
.boolean()
.optional()
.describe('Whether to include answers in the search results. Default is False.'),
}),
},
);
}
module.exports = createTavilySearchTool;