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🖥️ feat: Code Interpreter API for Non-Agent Endpoints (#6803)

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* fix: Prevent parsing 'undefined' string in useLocalStorage initialization

* feat: first pass, code interpreter badge

* feat: Integrate API key authentication and default checked value in Code Interpreter Badge

* refactor: Rename showMCPServers to showEphemeralBadges and update related components, memoize values in useChatBadges

* refactor: Enhance AttachFileChat to support ephemeral agents in file attachment logic

* fix: Add baseURL configuration option to legacy function call

* refactor: Update dependency array in useDragHelpers to include handleFiles

* refactor: Update isEphemeralAgent function to accept optional endpoint parameter

* refactor: Update file handling to support ephemeral agents in AttachFileMenu and useDragHelpers

* fix: improve compatibility issues with OpenAI usage field handling in createRun function

* refactor: usage field compatibility

* fix: ensure mcp servers are no longer "selected" if mcp servers are now unavailable
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Danny Avila 2025-04-09 16:11:16 -04:00 • committed by GitHub
parent 5d668748f9
commit 24c0433dcf
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19 changed files with 311 additions and 48 deletions
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1
api/app/clients/llm/createLLM.js
View file

@ -34,6 +34,7 @@ function createLLM({
let credentials = { openAIApiKey };
let configuration = {
apiKey: openAIApiKey,
...(configOptions.basePath && { baseURL: configOptions.basePath }),
};
/** @type {AzureOptions} */

22
api/models/Agent.js
View file

@ -1,6 +1,6 @@
const mongoose = require('mongoose');
const { agentSchema } = require('@librechat/data-schemas');
const { SystemRoles } = require('librechat-data-provider');
const { SystemRoles, Tools } = require('librechat-data-provider');
const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_delimiter } =
require('librechat-data-provider').Constants;
const { CONFIG_STORE, STARTUP_CONFIG } = require('librechat-data-provider').CacheKeys;
@ -51,16 +51,22 @@ const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) =
const mcpServers = new Set(req.body.ephemeralAgent?.mcp);
/** @type {string[]} */
const tools = [];
if (req.body.ephemeralAgent?.execute_code === true) {
tools.push(Tools.execute_code);
}
for (const toolName of Object.keys(availableTools)) {
if (!toolName.includes(mcp_delimiter)) {
continue;
}
const mcpServer = toolName.split(mcp_delimiter)?.[1];
if (mcpServer && mcpServers.has(mcpServer)) {
tools.push(toolName);
if (mcpServers.size > 0) {
for (const toolName of Object.keys(availableTools)) {
if (!toolName.includes(mcp_delimiter)) {
continue;
}
const mcpServer = toolName.split(mcp_delimiter)?.[1];
if (mcpServer && mcpServers.has(mcpServer)) {
tools.push(toolName);
}
}
}
const instructions = req.body.promptPrefix;
return {
id: agent_id,

14
api/server/controllers/agents/run.js
View file

@ -11,6 +11,13 @@ const { providerEndpointMap, KnownEndpoints } = require('librechat-data-provider
* @typedef {import('@librechat/agents').IState} IState
*/
const customProviders = new Set([
Providers.XAI,
Providers.OLLAMA,
Providers.DEEPSEEK,
Providers.OPENROUTER,
]);
/**
* Creates a new Run instance with custom handlers and configuration.
*
@ -43,8 +50,11 @@ async function createRun({
agent.model_parameters,
);
/** Resolves Mistral type strictness due to new OpenAI usage field */
if (agent.endpoint?.toLowerCase().includes(KnownEndpoints.mistral)) {
/** Resolves issues with new OpenAI usage field */
if (
customProviders.has(agent.provider) ||
(agent.provider === Providers.OPENAI && agent.endpoint !== agent.provider)
) {
llmConfig.streamUsage = false;
llmConfig.usage = true;
}