AI & machine learning

Legal AI: embed, rerank, extract, classify and enrich documents with models

AI models: generate text and speech, transcribe audio, embed text, and manage files and batches

AI platform: build agents, knowledge bases, evals, datasets, and query logs, traces and metrics

AI models: generate text, speech and embeddings, manage files, batches and fine-tuning jobs

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

AI research platform: build Minds, Audiences and Studies, manage knowledge, chats, folders, billing and API keys

AI agent platform: manage threads, agent dispatches, automations, dashboards, logs and integrations

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

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

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

Agent platform: manage agents, skills, connections, library syncs, credentials and chats

Multi-agent orchestration: distribute tasks, manage agents, sessions, skills, schedules and MCP servers

Decision modeling: score and classify questions, plus document parsing, browser runs and batches

AI agent training: manage trajectories, benchmarks, model deployments, inference and organization billing

Generative AI: create images, video, audio and avatars, with task and voice management

Diagrams for AI agents: save, version, compare and render structured scenes as SVG or PNG

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

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

AI agents: deploy and run agents, manage sandboxes, projects, triggers, webhooks and billing

LLM inference, agents, files, vector stores, batches and admin endpoints for Llama-based deployments

Evaluation projects: manage test sets, test cases, runs, records, metrics and systems

AI models: run chat completions, manage datasets and upload files to knowledgebases

AI agents: run and schedule agents, manage triggers, projects, knowledge base, meetings and chat

AI agents: run threads, Captains, subagents, issues, projects and review rules