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https://github.com/danny-avila/LibreChat.git
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* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
65 lines
2.1 KiB
JavaScript
65 lines
2.1 KiB
JavaScript
const { z } = require('zod');
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const { Tool } = require('@langchain/core/tools');
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const { getEnvironmentVariable } = require('@langchain/core/utils/env');
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class GoogleSearchResults extends Tool {
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static lc_name() {
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return 'GoogleSearchResults';
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}
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constructor(fields = {}) {
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super(fields);
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this.envVarApiKey = 'GOOGLE_SEARCH_API_KEY';
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this.envVarSearchEngineId = 'GOOGLE_CSE_ID';
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this.override = fields.override ?? false;
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this.apiKey = fields.apiKey ?? getEnvironmentVariable(this.envVarApiKey);
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this.searchEngineId =
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fields.searchEngineId ?? getEnvironmentVariable(this.envVarSearchEngineId);
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this.kwargs = fields?.kwargs ?? {};
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this.name = 'google';
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this.description =
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'A search engine optimized for comprehensive, accurate, and trusted results. Useful for when you need to answer questions about current events.';
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this.schema = z.object({
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query: z.string().min(1).describe('The search query string.'),
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max_results: z
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.number()
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.min(1)
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.max(10)
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.optional()
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.describe('The maximum number of search results to return. Defaults to 10.'),
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// Note: Google API has its own parameters for search customization, adjust as needed.
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});
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}
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async _call(input) {
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const validationResult = this.schema.safeParse(input);
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if (!validationResult.success) {
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throw new Error(`Validation failed: ${JSON.stringify(validationResult.error.issues)}`);
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}
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const { query, max_results = 5 } = validationResult.data;
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const response = await fetch(
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`https://www.googleapis.com/customsearch/v1?key=${this.apiKey}&cx=${
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this.searchEngineId
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}&q=${encodeURIComponent(query)}&num=${max_results}`,
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{
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method: 'GET',
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headers: {
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'Content-Type': 'application/json',
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},
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},
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);
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const json = await response.json();
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if (!response.ok) {
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throw new Error(`Request failed with status ${response.status}: ${json.error.message}`);
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}
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return JSON.stringify(json);
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}
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}
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module.exports = GoogleSearchResults;
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