AI & machine learning

Agent workflows: build, version and publish agents, plus runs, profiles and vault secrets

Model hosting and chat: fine-tune and run models, with chat sessions, usage tracking, invites and payments

LLM routing: chat, embeddings, images, audio, video and moderation across providers

AI models: chat completions, image and media generation, catalog pricing, and agent projects

AI workforce platform: manage agents, skills, files, members, meetings, approvals and workspace billing

Voice and chat AI agents: simulate, test and analyze calls, chats, customers and metrics

AI models: chat completions, generation tasks, model catalog, pricing and usage stats

Orchestrate agents: distribute tasks, route messages and discover services for coding CLIs

Hub platform: manage models, datasets, Spaces, discussions, users and organizations via REST endpoints

LLM inference, fine-tuning, evals, file storage and realtime audio via one Bearer-token API

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

AI assistant platform: chat with language models, manage threads, knowledge bases, users, teams and skills

LLM observability: trace requests, manage prompts and evaluators, track costs, and query metrics

AI: generate speech, images and video, chat completions, embeddings, and decisions

AI agent platform: manage workspaces, threads, voice calls, channels, files and tool catalogs

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

AI assistant platform: chats, assistants, files, scheduled reminders, MCP servers and SharePoint/Office integrations

Image-to-image GAN: start, monitor and delete training runs, run inference, manage server files

AI platform: manage agents, knowledge bases, evals, datasets, logs and traces, prompts, models and API keys

AI agents: manage agent workspaces, tools, scheduled tasks and conversation invocations

AI media generation: create images, video, 3D models, audio and speech, and enhance or upscale assets

AI agent platform: deploy agents, manage connectors, approvals, runs, A/B tests and budgets

Agent evaluation: manage tasks, tasksets, rollouts, models, builds, data and QA checks for agent runs

AI agent execution: manage agents, API keys, workspace files, trials, and OAuth apps