AI & machine learning

Multi-agent orchestration: distribute tasks, route agent messages, discover services across coding agents

AI agents: start sessions, manage agent configs, API keys, budgets and usage billing

Agents and swarms: run multi-agent completions, batch workflows, chat-compatible calls, logs and rate limits

AI generation: create images, video, 3D models, audio and enhance media via API

Agents and skills: manage agent directories, mindsets, skill catalogs, sources and integration access

AI agent skills and tiles: browse, review, and security-check skills, manage workspaces, evals and code reviews

LLM gateway: route chat, messages and embeddings across providers, manage API keys and track usage

Agent and swarm orchestration: run multi-agent completions, batch and graph workflows, models, logs and usage metrics

AI agent control plane: manage agents, API keys, policies, deployments, traces, alerts and org billing

Conversation memory and AI counsel on contacts: analyse chats, screenshots and dating profiles

Evals and search over customer conversations: grade agent outputs, run research, and query data

Document AI: parse, extract, split, classify and edit documents via sync or async jobs

Data annotation: create projects, label tasks, review annotations, manage storage and ML backends

AI model gateway: chat, embeddings, images, audio, video, batches and files via OpenAI- and Anthropic-style endpoints

AI agents and sandboxes: create agents, run chat completions, search the web, manage files, billing and data deletions

Hosted AI agents and sandboxes: deploy, run and wire agents to messaging, email and billing

AI model gateway: chat, image and embedding generation, plus usage and billing logs

Agents, sessions, files, tasks and workspaces: host long-lived AI agents and manage their runs and resources

LLM gateway: chat, embeddings, images, audio, video, moderation, OCR and rerank across providers

AI agent platform: build voice, chat and text agents, knowledge bases, campaigns, call reviews and workflows

Datasets and agents: publish documents, retrieve cited passages, and register verified AI agents and MCP servers

LLM routing: chat, embeddings, images, audio and batch inference across models, plus key and credit management

AI gateway: route OpenAI-compatible chat and audio calls, manage API keys, budgets and usage

AI chat platform: chats, assistants, files, sharing, MCP servers, SharePoint and Office add-in integrations