LibreChat/api/server/services/Endpoints/agents/initialize.js
Danny Avila a0291ed155
🚧 chore: merge latest dev build to main repo (#3844)
* 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>
2024-08-31 16:33:51 -04:00

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 };