LibreChat/api/server/services/Endpoints/agents/initialize.js
Danny Avila 95011ce349
🚧 WIP: Merge Dev Build (#4611)
* refactor: Agent CodeFiles, abortUpload WIP

* feat: code environment file upload

* refactor: useLazyEffect

* refactor:
- Add `watch` from `useFormContext` to check if code execution is enabled
- Disable file upload button if `agent_id` is not selected or code execution is disabled

* WIP: primeCodeFiles; refactor: rename sessionId to session_id for uniformity

* Refactor: Rename session_id to sessionId for uniformity in AuthService.js

* chore: bump @librechat/agents to version 1.7.1

* WIP: prime code files

* refactor: Update code env file upload method to use read stream

* feat: reupload code env file if no longer active

* refactor: isAssistantTool -> isEntityTool + address type issues

* feat: execute code tool hook

* refactor: Rename isPluginAuthenticated to checkPluginAuth in PluginController.js

* refactor: Update PluginController.js to use AuthType constant for comparison

* feat: verify tool authentication (execute_code)

* feat: enter librechat_code_api_key

* refactor: Remove unused imports in BookmarkForm.tsx

* feat: authenticate code tool

* refactor: Update Action.tsx to conditionally render the key and revoke key buttons

* refactor(Code/Action): prevent uncheck-able 'Run Code' capability when key is revoked

* refactor(Code/Action): Update Action.tsx to conditionally render the key and revoke key buttons

* fix: agent file upload edge cases

* chore: bump @librechat/agents

* fix: custom endpoint providerValue icon

* feat: ollama meta modal token values + context

* feat: ollama agents

* refactor: Update token models for Ollama models

* chore: Comment out CodeForm

* refactor: Update token models for Ollama and Meta models
2024-11-01 18:36:39 -04:00

140 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, Providers } = require('@librechat/agents');
const {
EModelEndpoint,
getResponseSender,
providerEndpointMap,
} = require('librechat-data-provider');
const {
getDefaultHandlers,
createToolEndCallback,
} = require('~/server/controllers/agents/callbacks');
const initAnthropic = require('~/server/services/Endpoints/anthropic/initialize');
const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
const initCustom = require('~/server/services/Endpoints/custom/initialize');
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,
[EModelEndpoint.bedrock]: getBedrockOptions,
[Providers.OLLAMA]: initCustom,
};
const initializeClient = async ({ req, res, endpointOption }) => {
if (!endpointOption) {
throw new Error('Endpoint option not provided');
}
// TODO: use endpointOption to determine options/modelOptions
/** @type {Array<UsageMetadata>} */
const collectedUsage = [];
/** @type {ArtifactPromises} */
const artifactPromises = [];
const { contentParts, aggregateContent } = createContentAggregator();
const toolEndCallback = createToolEndCallback({ req, res, artifactPromises });
const eventHandlers = getDefaultHandlers({
res,
aggregateContent,
toolEndCallback,
collectedUsage,
});
if (!endpointOption.agent) {
throw new Error('No agent promise provided');
}
/** @type {Agent | null} */
const agent = await endpointOption.agent;
if (!agent) {
throw new Error('Agent not found');
}
const { tools, toolMap } = await loadAgentTools({
req,
tools: agent.tools,
agent_id: agent.id,
tool_resources: agent.tool_resources,
// openAIApiKey: process.env.OPENAI_API_KEY,
});
let modelOptions = { model: agent.model };
let 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,
collectedUsage,
artifactPromises,
endpoint: EModelEndpoint.agents,
configOptions: options.configOptions,
attachments: endpointOption.attachments,
maxContextTokens:
agent.max_context_tokens ??
getModelMaxTokens(modelOptions.model, providerEndpointMap[agent.provider]),
});
return { client };
};
module.exports = { initializeClient };