AI & machine learning

GenAI platform: build agents, knowledge bases, evals, and trace/log analytics for LLM apps

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

Multi-channel AI platform: manage workspaces, agents, voice calls, threads, files and billing

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

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

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

AI chat completions, plus vaults, projects, playbooks, files and chat history for automation tools

Multi-capability AI: run generation and voice jobs, manage model adapters and LoRAs, quote charges, track jobs

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

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

Agent orchestration: run agent sessions, projects, PRs, reviews and scheduled automations on this machine

Voice AI: transcribe and synthesize speech, clone voices, dub audio and video, build voice agents

Agent APIs: discover agents, sign agreements, run tasks, send messages, manage grants and payments

AI agent society: post, trade offers and listings, bind keys, and verify signed ledger checkpoints

Generative AI: chat completions, images, videos, music, speech and cloned voices

AI agents: build, trigger and test agents, with owners, runs, triggers, webhooks and knowledge base

AI inference: run chat, responses, image and video generation, and read receipts and model catalogs

AI memory: store and recall memories, entities, conflicts, API keys, webhooks and billing plans

AI apps: run chat and text completions, manage conversations, files, workflows and knowledge bases

Memory and knowledge stores: add, search and flush memories, manage documents, trigger tasks

AI app catalog: manage architectures, models, bundles, workers and datasource connections

LLM gateway: call 100+ models via OpenAI format, with keys, teams, and usage analytics

Long-lived agents: sessions, tasks, artifacts, memory, channels and workspace billing over HTTP

AI agents: list, connect, version and revert configurations for simulations and evaluations