LibreChat/api/server/services/Endpoints/agents/agent.js
Danny Avila fa54c9ae90
📦 chore: Bump Agents Packages (#7992)
* chore: update peer dependency for @librechat/agents to version 2.4.41

* 🔧 chore: proxy handling in OpenAI endpoint to use undici

* 🔧 chore: update @anthropic-ai/sdk to version 0.52.0 and refactor proxy handling to use undici

* 🔧 chore: update globIgnores in vite.config.ts to exclude index.html from caching

* 🔧 ci: update proxy handling in getLLMConfig to use fetchOptions and ProxyAgent

* 🔧 chore: refactor proxy handling in Anthropic and OpenAI clients to use fetchOptions

* refactor: agent initialization to streamline model parameters and resendFiles handling

* chore: update @google/generative-ai to version 0.24.0
2025-06-20 15:49:24 -04:00

196 lines
6.2 KiB
JavaScript

const { Providers } = require('@librechat/agents');
const { primeResources, optionalChainWithEmptyCheck } = require('@librechat/api');
const {
ErrorTypes,
EModelEndpoint,
EToolResources,
replaceSpecialVars,
providerEndpointMap,
} = require('librechat-data-provider');
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 initGoogle = require('~/server/services/Endpoints/google/initialize');
const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
const { getCustomEndpointConfig } = require('~/server/services/Config');
const { processFiles } = require('~/server/services/Files/process');
const { getConvoFiles } = require('~/models/Conversation');
const { getToolFilesByIds } = require('~/models/File');
const { getModelMaxTokens } = require('~/utils');
const { getFiles } = require('~/models/File');
const providerConfigMap = {
[Providers.XAI]: initCustom,
[Providers.OLLAMA]: initCustom,
[Providers.DEEPSEEK]: initCustom,
[Providers.OPENROUTER]: initCustom,
[EModelEndpoint.openAI]: initOpenAI,
[EModelEndpoint.google]: initGoogle,
[EModelEndpoint.azureOpenAI]: initOpenAI,
[EModelEndpoint.anthropic]: initAnthropic,
[EModelEndpoint.bedrock]: getBedrockOptions,
};
/**
* @param {object} params
* @param {ServerRequest} params.req
* @param {ServerResponse} params.res
* @param {Agent} params.agent
* @param {string | null} [params.conversationId]
* @param {Array<IMongoFile>} [params.requestFiles]
* @param {typeof import('~/server/services/ToolService').loadAgentTools | undefined} [params.loadTools]
* @param {TEndpointOption} [params.endpointOption]
* @param {Set<string>} [params.allowedProviders]
* @param {boolean} [params.isInitialAgent]
* @returns {Promise<Agent & { tools: StructuredTool[], attachments: Array<MongoFile>, toolContextMap: Record<string, unknown>, maxContextTokens: number }>}
*/
const initializeAgent = async ({
req,
res,
agent,
loadTools,
requestFiles,
conversationId,
endpointOption,
allowedProviders,
isInitialAgent = false,
}) => {
if (allowedProviders.size > 0 && !allowedProviders.has(agent.provider)) {
throw new Error(
`{ "type": "${ErrorTypes.INVALID_AGENT_PROVIDER}", "info": "${agent.provider}" }`,
);
}
let currentFiles;
const _modelOptions = structuredClone(
Object.assign(
{ model: agent.model },
agent.model_parameters ?? { model: agent.model },
isInitialAgent === true ? endpointOption?.model_parameters : {},
),
);
const { resendFiles = true, ...modelOptions } = _modelOptions;
if (isInitialAgent && conversationId != null && resendFiles) {
const fileIds = (await getConvoFiles(conversationId)) ?? [];
/** @type {Set<EToolResources>} */
const toolResourceSet = new Set();
for (const tool of agent.tools) {
if (EToolResources[tool]) {
toolResourceSet.add(EToolResources[tool]);
}
}
const toolFiles = await getToolFilesByIds(fileIds, toolResourceSet);
if (requestFiles.length || toolFiles.length) {
currentFiles = await processFiles(requestFiles.concat(toolFiles));
}
} else if (isInitialAgent && requestFiles.length) {
currentFiles = await processFiles(requestFiles);
}
const { attachments, tool_resources } = await primeResources({
req,
getFiles,
attachments: currentFiles,
tool_resources: agent.tool_resources,
requestFileSet: new Set(requestFiles?.map((file) => file.file_id)),
});
const provider = agent.provider;
const { tools, toolContextMap } =
(await loadTools?.({
req,
res,
provider,
agentId: agent.id,
tools: agent.tools,
model: agent.model,
tool_resources,
})) ?? {};
agent.endpoint = provider;
let getOptions = providerConfigMap[provider];
if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
agent.provider = provider.toLowerCase();
getOptions = providerConfigMap[agent.provider];
} else if (!getOptions) {
const customEndpointConfig = await getCustomEndpointConfig(provider);
if (!customEndpointConfig) {
throw new Error(`Provider ${provider} not supported`);
}
getOptions = initCustom;
agent.provider = Providers.OPENAI;
}
const _endpointOption =
isInitialAgent === true
? Object.assign({}, endpointOption, { model_parameters: modelOptions })
: { model_parameters: modelOptions };
const options = await getOptions({
req,
res,
optionsOnly: true,
overrideEndpoint: provider,
overrideModel: agent.model,
endpointOption: _endpointOption,
});
const tokensModel =
agent.provider === EModelEndpoint.azureOpenAI ? agent.model : modelOptions.model;
const maxTokens = optionalChainWithEmptyCheck(
modelOptions.maxOutputTokens,
modelOptions.maxTokens,
0,
);
const maxContextTokens = optionalChainWithEmptyCheck(
modelOptions.maxContextTokens,
modelOptions.max_context_tokens,
getModelMaxTokens(tokensModel, providerEndpointMap[provider]),
4096,
);
if (
agent.endpoint === EModelEndpoint.azureOpenAI &&
options.llmConfig?.azureOpenAIApiInstanceName == null
) {
agent.provider = Providers.OPENAI;
}
if (options.provider != null) {
agent.provider = options.provider;
}
/** @type {import('@librechat/agents').ClientOptions} */
agent.model_parameters = { ...options.llmConfig };
if (options.configOptions) {
agent.model_parameters.configuration = options.configOptions;
}
if (agent.instructions && agent.instructions !== '') {
agent.instructions = replaceSpecialVars({
text: agent.instructions,
user: req.user,
});
}
if (typeof agent.artifacts === 'string' && agent.artifacts !== '') {
agent.additional_instructions = generateArtifactsPrompt({
endpoint: agent.provider,
artifacts: agent.artifacts,
});
}
return {
...agent,
tools,
attachments,
resendFiles,
toolContextMap,
maxContextTokens: (maxContextTokens - maxTokens) * 0.9,
};
};
module.exports = { initializeAgent };