LibreChat/api/server/services/Endpoints/agents/initialize.js
Danny Avila d59b62174f
🪨 feat: AWS Bedrock support (#3935)
* feat: Add BedrockIcon component to SVG library

* feat: EModelEndpoint.bedrock

* feat: first pass, bedrock chat. note: AgentClient is returning `agents` as conversation.endpoint

* fix: declare endpoint in initialization step

* chore: Update @librechat/agents dependency to version 1.4.5

* feat: backend content aggregation for agents/bedrock

* feat: abort agent requests

* feat: AWS Bedrock icons

* WIP: agent provider schema parsing

* chore: Update EditIcon props type

* refactor(useGenerationsByLatest): make agents and bedrock editable

* refactor: non-assistant message content, parts

* fix: Bedrock response `sender`

* fix: use endpointOption.model_parameters not endpointOption.modelOptions

* fix: types for step handler

* refactor: Update Agents.ToolCallDelta type

* refactor: Remove unnecessary assignment of parentMessageId in AskController

* refactor: remove unnecessary assignment of parentMessageId (agent request handler)

* fix(bedrock/agents): message regeneration

* refactor: dynamic form elements using react-hook-form Controllers

* fix: agent icons/labels for messages

* fix: agent actions

* fix: use of new dynamic tags causing application crash

* refactor: dynamic settings touch-ups

* refactor: update Slider component to allow custom track class name

* refactor: update DynamicSlider component styles

* refactor: use Constants value for GLOBAL_PROJECT_NAME (enum)

* feat: agent share global methods/controllers

* fix: agents query

* fix: `getResponseModel`

* fix: share prompt a11y issue

* refactor: update SharePrompt dialog theme styles

* refactor: explicit typing for SharePrompt

* feat: add agent roles/permissions

* chore: update @librechat/agents dependency to version 1.4.7 for tool_call_ids edge case

* fix(Anthropic): messages.X.content.Y.tool_use.input: Input should be a valid dictionary

* fix: handle text parts with tool_call_ids and empty text

* fix: role initialization

* refactor: don't make instructions required

* refactor: improve typing of Text part

* fix: setShowStopButton for agents route

* chore: remove params for now

* fix: add streamBuffer and streamRate to help prevent 'Overloaded' errors from Anthropic API

* refactor: remove console.log statement in ContentRender component

* chore: typing, rename Context to Delete Button

* chore(DeleteButton): logging

* refactor(Action): make accessible

* style(Action): improve a11y again

* refactor: remove use/mention of mongoose sessions

* feat: first pass, sharing agents

* feat: visual indicator for global agent, remove author when serving to non-author

* wip: params

* chore: fix typing issues

* fix(schemas): typing

* refactor: improve accessibility of ListCard component and fix console React warning

* wip: reset templates for non-legacy new convos

* Revert "wip: params"

This reverts commit f8067e91d4.

* Revert "refactor: dynamic form elements using react-hook-form Controllers"

This reverts commit 2150c4815d.

* fix(Parameters): types and parameter effect update to only update local state to parameters

* refactor: optimize useDebouncedInput hook for better performance

* feat: first pass, anthropic bedrock params

* chore: paramEndpoints check for endpointType too

* fix: maxTokens to use coerceNumber.optional(),

* feat: extra chat model params

* chore: reduce code repetition

* refactor: improve preset title handling in SaveAsPresetDialog component

* refactor: improve preset handling in HeaderOptions component

* chore: improve typing, replace legacy dialog for SaveAsPresetDialog

* feat: save as preset from parameters panel

* fix: multi-search in select dropdown when using Option type

* refactor: update default showDefault value to false in Dynamic components

* feat: Bedrock presets settings

* chore: config, fix agents schema, update config version

* refactor: update AWS region variable name in bedrock options endpoint to BEDROCK_AWS_DEFAULT_REGION

* refactor: update baseEndpointSchema in config.ts to include baseURL property

* refactor: update createRun function to include req parameter and set streamRate based on provider

* feat: availableRegions via config

* refactor: remove unused demo agent controller file

* WIP: title

* Update @librechat/agents to version 1.5.0

* chore: addTitle.js to handle empty responseText

* feat: support images and titles

* feat: context token updates

* Refactor BaseClient test to use expect.objectContaining

* refactor: add model select, remove header options params, move side panel params below prompts

* chore: update models list, catch title error

* feat: model service for bedrock models (env)

* chore: Remove verbose debug log in AgentClient class following stream

* feat(bedrock): track token spend; fix: token rates, value key mapping for AWS models

* refactor: handle streamRate in `handleLLMNewToken` callback

* chore: AWS Bedrock example config in `.env.example`

* refactor: Rename bedrockMeta to bedrockGeneral in settings.ts and use for AI21 and Amazon Bedrock providers

* refactor: Update `.env.example` with AWS Bedrock model IDs URL and additional notes

* feat: titleModel support for bedrock

* refactor: Update `.env.example` with additional notes for AWS Bedrock model IDs
2024-09-09 12:06:59 -04:00

133 lines
4.2 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 { createContentAggregator } = require('@librechat/agents');
const {
EModelEndpoint,
providerEndpointMap,
getResponseSender,
} = 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 { contentParts, aggregateContent } = createContentAggregator();
const eventHandlers = getDefaultHandlers({ res, aggregateContent });
// 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.model_parameters.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 sender = getResponseSender({
...endpointOption,
model: endpointOption.model_parameters.model,
});
const client = new AgentClient({
req,
agent,
tools,
sender,
toolMap,
contentParts,
modelOptions,
eventHandlers,
endpoint: EModelEndpoint.agents,
configOptions: options.configOptions,
maxContextTokens:
agent.max_context_tokens ??
getModelMaxTokens(modelOptions.model, providerEndpointMap[agent.provider]),
});
return { client };
};
module.exports = { initializeClient };