LibreChat/api/server/controllers/agents/run.js
Danny Avila 0c2a583df8
🔧 refactor: Optimize Agent Tool Loading and Fix Bedrock Tool Handling (#4641)
* fix: bedrock tool name regex

* fix: pass args as single input, attempt json first.

* refactor: remove toolMap from agent tool load as is not used

* fix: update formatAgentMessages test to use strictEqual for args comparison, testing new behavior
2024-11-05 11:24:26 -05:00

65 lines
2.1 KiB
JavaScript

const { Run, Providers } = require('@librechat/agents');
const { providerEndpointMap } = require('librechat-data-provider');
/**
* @typedef {import('@librechat/agents').t} t
* @typedef {import('@librechat/agents').StreamEventData} StreamEventData
* @typedef {import('@librechat/agents').ClientOptions} ClientOptions
* @typedef {import('@librechat/agents').EventHandler} EventHandler
* @typedef {import('@librechat/agents').GraphEvents} GraphEvents
* @typedef {import('@librechat/agents').IState} IState
*/
/**
* Creates a new Run instance with custom handlers and configuration.
*
* @param {Object} options - The options for creating the Run instance.
* @param {ServerRequest} [options.req] - The server request.
* @param {string | undefined} [options.runId] - Optional run ID; otherwise, a new run ID will be generated.
* @param {Agent} options.agent - The agent for this run.
* @param {StructuredTool[] | undefined} [options.tools] - The tools to use in the run.
* @param {Record<GraphEvents, EventHandler> | undefined} [options.customHandlers] - Custom event handlers.
* @param {ClientOptions} [options.modelOptions] - Optional model to use; if not provided, it will use the default from modelMap.
* @param {boolean} [options.streaming=true] - Whether to use streaming.
* @param {boolean} [options.streamUsage=true] - Whether to stream usage information.
* @returns {Promise<Run<IState>>} A promise that resolves to a new Run instance.
*/
async function createRun({
runId,
tools,
agent,
modelOptions,
customHandlers,
streaming = true,
streamUsage = true,
}) {
const provider = providerEndpointMap[agent.provider] ?? agent.provider;
const llmConfig = Object.assign(
{
provider,
streaming,
streamUsage,
},
modelOptions,
);
const graphConfig = {
tools,
llmConfig,
instructions: agent.instructions,
additional_instructions: agent.additional_instructions,
};
// TEMPORARY FOR TESTING
if (agent.provider === Providers.ANTHROPIC) {
graphConfig.streamBuffer = 2000;
}
return Run.create({
runId,
graphConfig,
customHandlers,
});
}
module.exports = { createRun };