mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +02:00

* agents - phase 1 (#30) * chore: copy assistant files * feat: frontend and data-provider * feat: backend get endpoint test * fix(MessageEndpointIcon): switched to AgentName and AgentAvatar * fix: small fixes * fix: agent endpoint config * fix: show Agent Builder * chore: install agentus * chore: initial scaffolding for agents * fix: updated Assistant logic to Agent Logic for some Agent components * WIP first pass, demo of agent package * WIP: initial backend infra for agents * fix: agent list error * wip: agents routing * chore: Refactor useSSE hook to handle different data events * wip: correctly emit events * chore: Update @librechat/agentus npm dependency to version 1.0.9 * remove comment * first pass: streaming agent text * chore: Remove @librechat/agentus root-level workspace npm dependency * feat: Agent Schema and Model * fix: content handling fixes * fix: content message save * WIP: new content data * fix: run step issue with tool calls * chore: Update @librechat/agentus npm dependency to version 1.1.5 * feat: update controller and agent routes * wip: initial backend tool and tool error handling support * wip: tool chunks * chore: Update @librechat/agentus npm dependency to version 1.1.7 * chore: update tool_call typing, add test conditions and logs * fix: create agent * fix: create agent * first pass: render completed content parts * fix: remove logging, fix step handler typing * chore: Update @librechat/agentus npm dependency to version 1.1.9 * refactor: cleanup maps on unmount * chore: Update BaseClient.js to safely count tokens for string, number, and boolean values * fix: support subsequent messages with tool_calls * chore: export order * fix: select agent * fix: tool call types and handling * chore: switch to anthropic for testing * fix: AgentSelect * refactor: experimental: OpenAIClient to use array for intermediateReply * fix(useSSE): revert old condition for streaming legacy client tokens * fix: lint * revert `agent_id` to `id` * chore: update localization keys for agent-related components * feat: zod schema handling for actions * refactor(actions): if no params, no zodSchema * chore: Update @librechat/agentus npm dependency to version 1.2.1 * feat: first pass, actions * refactor: empty schema for actions without params * feat: Update createRun function to accept additional options * fix: message payload formatting; feat: add more client options * fix: ToolCall component rendering when action has no args but has output * refactor(ToolCall): allow non-stringy args * WIP: first pass, correctly formatted tool_calls between providers * refactor: Remove duplicate import of 'roles' module * refactor: Exclude 'vite.config.ts' from TypeScript compilation * refactor: fix agent related types > - no need to use endpoint/model fields for identifying agent metadata > - add `provider` distinction for agent-configured 'endpoint' - no need for agent-endpoint map - reduce complexity of tools as functions into tools as string[] - fix types related to above changes - reduce unnecessary variables for queries/mutations and corresponding react-query keys * refactor: Add tools and tool_kwargs fields to agent schema * refactor: Remove unused code and update dependencies * refactor: Update updateAgentHandler to use req.body directly * refactor: Update AgentSelect component to use localized hooks * refactor: Update agent schema to include tools and provider fields * refactor(AgentPanel): add scrollbar gutter, add provider field to form, fix agent schema required values * refactor: Update AgentSwitcher component to use selectedAgentId instead of selectedAgent * refactor: Update AgentPanel component to include alternateName import and defaultAgentFormValues * refactor(SelectDropDown): allow setting value as option while still supporting legacy usage (string values only) * refactor: SelectDropdown changes - Only necessary when the available values are objects with label/value fields and the selected value is expected to be a string. * refactor: TypeError issues and handle provider as option * feat: Add placeholder for provider selection in AgentPanel component * refactor: Update agent schema to include author and provider fields * fix: show expected 'create agent' placeholder when creating agent * chore: fix localization strings, hide capabilities form for now * chore: typing * refactor: import order and use compact agents schema for now * chore: typing * refactor: Update AgentForm type to use AgentCapabilities * fix agent form agent selection issues * feat: responsive agent selection * fix: Handle cancelled fetch in useSelectAgent hook * fix: reset agent form on accordion close/open * feat: Add agent_id to default conversation for agents endpoint * feat: agents endpoint request handling * refactor: reset conversation model on agent select * refactor: add `additional_instructions` to conversation schema, organize other fields * chore: casing * chore: types * refactor(loadAgentTools): explicitly pass agent_id, do not pass `model` to loadAgentTools for now, load action sets by agent_id * WIP: initial draft of real agent client initialization * WIP: first pass, anthropic agent requests * feat: remember last selected agent * feat: openai and azure connected * fix: prioritize agent model for runs unless an explicit override model is passed from client * feat: Agent Actions * fix: save agent id to convo * feat: model panel (#29) * feat: model panel * bring back comments * fix: method still null * fix: AgentPanel FormContext * feat: add more parameters * fix: style issues; refactor: Agent Controller * fix: cherry-pick * fix: Update AgentAvatar component to use AssistantIcon instead of BrainCircuit * feat: OGDialog for delete agent; feat(assistant): update Agent types, introduced `model_parameters` * feat: icon and general `model_parameters` update * feat: use react-hook-form better * fix: agent builder form reset issue when switching panels * refactor: modularize agent builder form --------- Co-authored-by: Danny Avila <danny@librechat.ai> * fix: AgentPanel and ModelPanel type issues and use `useFormContext` and `watch` instead of `methods` directly and `useWatch`. * fix: tool call issues due to invalid input (anthropic) of empty string * fix: handle empty text in Part component --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * refactor: remove form ModelPanel and fixed nested ternary expressions in AgentConfig * fix: Model Parameters not saved correctly * refactor: remove console log * feat: avatar upload and get for Agents (#36) Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com> * chore: update to public package * fix: typing, optional chaining * fix: cursor not showing for content parts * chore: conditionally enable agents * ci: fix azure test * ci: fix frontend tests, fix eslint api * refactor: Remove unused errorContentPart variable * continue of the agent message PR (#40) * last fixes * fix: agentMap * pr merge test (#41) * fix: model icon not fetching correctly * remove console logs * feat: agent name * refactor: pass documentsMap as a prop to allow re-render of assistant form * refactor: pass documentsMap as a prop to allow re-render of assistant form * chore: Bump version to 0.7.419 * fix: TypeError: Cannot read properties of undefined (reading 'id') * refactor: update AgentSwitcher component to use ControlCombobox instead of Combobox --------- Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
119 lines
3.9 KiB
JavaScript
119 lines
3.9 KiB
JavaScript
// const {
|
|
// ErrorTypes,
|
|
// EModelEndpoint,
|
|
// resolveHeaders,
|
|
// mapModelToAzureConfig,
|
|
// } = require('librechat-data-provider');
|
|
// const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
|
|
// const { isEnabled, isUserProvided } = require('~/server/utils');
|
|
// const { getAzureCredentials } = require('~/utils');
|
|
// const { OpenAIClient } = require('~/app');
|
|
|
|
const { z } = require('zod');
|
|
const { tool } = require('@langchain/core/tools');
|
|
const { EModelEndpoint, providerEndpointMap } = require('librechat-data-provider');
|
|
const { getDefaultHandlers } = require('~/server/controllers/agents/callbacks');
|
|
// for testing purposes
|
|
// const createTavilySearchTool = require('~/app/clients/tools/structured/TavilySearch');
|
|
const initAnthropic = require('~/server/services/Endpoints/anthropic/initializeClient');
|
|
const initOpenAI = require('~/server/services/Endpoints/openAI/initializeClient');
|
|
const { loadAgentTools } = require('~/server/services/ToolService');
|
|
const AgentClient = require('~/server/controllers/agents/client');
|
|
const { getModelMaxTokens } = require('~/utils');
|
|
|
|
/* For testing errors */
|
|
const _getWeather = tool(
|
|
async ({ location }) => {
|
|
if (location === 'SAN FRANCISCO') {
|
|
return 'It\'s 60 degrees and foggy';
|
|
} else if (location.toLowerCase() === 'san francisco') {
|
|
throw new Error('Input queries must be all capitals');
|
|
} else {
|
|
throw new Error('Invalid input.');
|
|
}
|
|
},
|
|
{
|
|
name: 'get_weather',
|
|
description: 'Call to get the current weather',
|
|
schema: z.object({
|
|
location: z.string(),
|
|
}),
|
|
},
|
|
);
|
|
|
|
const providerConfigMap = {
|
|
[EModelEndpoint.openAI]: initOpenAI,
|
|
[EModelEndpoint.azureOpenAI]: initOpenAI,
|
|
[EModelEndpoint.anthropic]: initAnthropic,
|
|
};
|
|
|
|
const initializeClient = async ({ req, res, endpointOption }) => {
|
|
if (!endpointOption) {
|
|
throw new Error('Endpoint option not provided');
|
|
}
|
|
|
|
// TODO: use endpointOption to determine options/modelOptions
|
|
const eventHandlers = getDefaultHandlers({ res });
|
|
|
|
// const tools = [createTavilySearchTool()];
|
|
// const tools = [_getWeather];
|
|
// const tool_calls = [{ name: 'getPeople_action_swapi---dev' }];
|
|
// const tool_calls = [{ name: 'dalle' }];
|
|
// const tool_calls = [{ name: 'getItmOptions_action_YWlhcGkzLn' }];
|
|
// const tool_calls = [{ name: 'tavily_search_results_json' }];
|
|
// const tool_calls = [
|
|
// { name: 'searchListings_action_emlsbG93NT' },
|
|
// { name: 'searchAddress_action_emlsbG93NT' },
|
|
// { name: 'searchMLS_action_emlsbG93NT' },
|
|
// { name: 'searchCoordinates_action_emlsbG93NT' },
|
|
// { name: 'searchUrl_action_emlsbG93NT' },
|
|
// { name: 'getPropertyDetails_action_emlsbG93NT' },
|
|
// ];
|
|
|
|
if (!endpointOption.agent) {
|
|
throw new Error('No agent promise provided');
|
|
}
|
|
|
|
/** @type {Agent} */
|
|
const agent = await endpointOption.agent;
|
|
const { tools, toolMap } = await loadAgentTools({
|
|
req,
|
|
tools: agent.tools,
|
|
agent_id: agent.id,
|
|
// openAIApiKey: process.env.OPENAI_API_KEY,
|
|
});
|
|
|
|
let modelOptions = { model: agent.model };
|
|
const getOptions = providerConfigMap[agent.provider];
|
|
if (!getOptions) {
|
|
throw new Error(`Provider ${agent.provider} not supported`);
|
|
}
|
|
|
|
// TODO: pass-in override settings that are specific to current run
|
|
endpointOption.modelOptions.model = agent.model;
|
|
const options = await getOptions({
|
|
req,
|
|
res,
|
|
endpointOption,
|
|
optionsOnly: true,
|
|
overrideEndpoint: agent.provider,
|
|
overrideModel: agent.model,
|
|
});
|
|
modelOptions = Object.assign(modelOptions, options.llmConfig);
|
|
|
|
const client = new AgentClient({
|
|
req,
|
|
agent,
|
|
tools,
|
|
toolMap,
|
|
modelOptions,
|
|
eventHandlers,
|
|
configOptions: options.configOptions,
|
|
maxContextTokens:
|
|
agent.max_context_tokens ??
|
|
getModelMaxTokens(modelOptions.model, providerEndpointMap[agent.provider]),
|
|
});
|
|
return { client };
|
|
};
|
|
|
|
module.exports = { initializeClient };
|