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* fix: agent initialization, add `collectedUsage` handling * style: improve side panel styling * refactor(loadAgent): Optimize order agent project ID retrieval * feat: code execution * fix: typing issues * feat: ExecuteCode content part * refactor: use local state for default collapsed state of analysis content parts * fix: code parsing in ExecuteCode component * chore: bump agents package, export loadAuthValues * refactor: Update handleTools.js to use EnvVar for code execution tool authentication * WIP * feat: download code outputs * fix(useEventHandlers): type issues * feat: backend handling for code outputs * Refactor: Remove console.log statement in Part.tsx * refactor: add attachments to TMessage/messageSchema * WIP: prelim handling for code outputs * feat: attachments rendering * refactor: improve attachments rendering * fix: attachments, nullish edge case, handle attachments from event stream, bump agents package * fix filename download * fix: tool assignment for 'run code' on agent creation * fix: image handling by adding attachments * refactor: prevent agent creation without provider/model * refactor: remove unnecessary space in agent creation success message * refactor: select first model if selecting provider from empty on form * fix: Agent avatar bug * fix: `defaultAgentFormValues` causing boolean typing issue and typeerror * fix: capabilities counting as tools, causing duplication of them * fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation) * chore: bump @librechat/agents dependency to version 1.6.9 * feat: bedrock agents * feat: new Agents icon * feat: agent titling * feat: agent landing * refactor: allow sharing agent globally only if user is admin or author * feat: initial AgentPanelSkeleton * feat: AgentPanelSkeleton * feat: collaborative agents * chore: add potential authorName as part of schema * chore: Remove unnecessary console.log statement * WIP: agent model parameters * chore: ToolsDialog typing and tool related localization chnages * refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper * chore: add back tools * feat: Agent knowledge files upload * refactor: better verbiage for disabled knowledge * chore: debug logs for file deletions * chore: debug logs for file deletions * feat: upload/delete agent knowledge/file-search files * feat: file search UI for agents * feat: first pass, file search tool * chore: update default agent capabilities and info
72 lines
2.3 KiB
JavaScript
72 lines
2.3 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 'google';
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}
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constructor(fields = {}) {
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super(fields);
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this.name = 'google';
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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[this.envVarApiKey] ?? getEnvironmentVariable(this.envVarApiKey);
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this.searchEngineId =
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fields[this.envVarSearchEngineId] ?? getEnvironmentVariable(this.envVarSearchEngineId);
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if (!this.override && (!this.apiKey || !this.searchEngineId)) {
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throw new Error(
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`Missing ${this.envVarApiKey} or ${this.envVarSearchEngineId} environment variable.`,
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);
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}
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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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