AI & machine learning

AI gateway: route OpenAI-compatible chat, audio and batch calls, with keys, budgets, traces and guardrails

Language, image, video and speech generation: chat, embeddings, batches, transcription and TTS

AI task routing: execute and verify tasks, chat completions, speech, and provider setup

AI image, video, 3D and audio generation: create media, upload assets, train styles, run node apps

LLM gateway: manage API tokens, channels, users, quotas, billing and logs

Memory platform: store and recall AI memories across contexts, with OAuth login, workspaces and API keys

AI agents: run long-lived sessions, tasks, files, memory and channels over HTTP

Tiles, skills, evals and workspaces: manage AI agent context, run reviews and scoring, and administer orgs

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

AI models: chat, embeddings, images, audio, video, moderation and batch jobs via one key

GenAI platform: build agents, prompts and knowledge bases, run evals, and query logs and traces

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

AI agents: build, trigger and evaluate agents, with chat, tasks, meetings and integrations

Agent platform: manage agents, folders, skills, integrations, credentials, billing and chat rooms

Hosted AI agents: deploy agents, manage sandboxes, networks, webhooks, triggers and billing

Voice AI: build agents, run batch calls and tests, manage knowledge bases and phone numbers

Agent orchestration: distribute tasks, manage agents, sessions, skills and workflow runs across coding CLIs

LLM gateway: chat, embeddings, images, audio, video, plus API keys, batches and credits

AI assistant workspace: manage actors, agent runs, skills, files, memory and member access

LLM tracing, datasets, experiments and evaluations: manage runs, feedback, prompts and annotation queues

Agent runs: start sessions, stream events, read transcripts, and fetch results and artifacts

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

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

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