{ "contractVersion": "2026-03-24-v1", "revision": "99b882b37900", "generatedAt": "2026-07-02T20:01:26.000Z", "docs": [ { "slug": [ "build", "building-blocks", "agents" ], "url": "/docs/build/building-blocks/agents", "markdownUrl": "/llm/docs/build/building-blocks/agents", "title": "Agents", "description": "The core container that hosts reasoners, skills, and sessions, and connects to the AgentField control plane", "aiSummary": "The core container that hosts reasoners, skills, and sessions, and connects to the AgentField control plane", "category": "building-blocks", "difficulty": "beginner", "keywords": [ "agent", "container", "serve", "run", "lifecycle", "constructor", "config" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "build", "building-blocks", "harness" ], "url": "/docs/build/building-blocks/harness", "markdownUrl": "/llm/docs/build/building-blocks/harness", "title": "Harness", "description": "Spawn external coding agents (Claude Code, Codex, Gemini, OpenCode) from inside agent loops with budget caps, schema-bound output, and retries.", "aiSummary": "Spawn external coding agents (Claude Code, Codex, Gemini, OpenCode) from inside agent loops with budget caps, schema-bound output, and retries.", "category": "building-blocks", "difficulty": "intermediate", "keywords": [ "harness", "coding agent", "claude code", "codex", "gemini", "opencode", "autonomous loop", "schema", "budget" ], "lastModified": "2026-06-15T22:23:36.000Z" }, { "slug": [ "build", "building-blocks", "reasoners" ], "url": "/docs/build/building-blocks/reasoners", "markdownUrl": "/llm/docs/build/building-blocks/reasoners", "title": "Reasoners", "description": "AI-powered functions with automatic workflow tracking, schema generation, and execution context", "aiSummary": "AI-powered functions with automatic workflow tracking, schema generation, and execution context", "category": "building-blocks", "difficulty": "beginner", "keywords": [ "reasoner", "ai", "llm", "decorator", "handler", "workflow", "execution context" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "build", "building-blocks", "routers" ], "url": "/docs/build/building-blocks/routers", "markdownUrl": "/llm/docs/build/building-blocks/routers", "title": "Routers", "description": "Organize reasoners and skills into namespaced modules with AgentRouter", "aiSummary": "Organize reasoners and skills into namespaced modules with AgentRouter", "category": "building-blocks", "difficulty": "beginner", "keywords": [ "router", "namespace", "module", "organization", "prefix", "include_router" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "build", "building-blocks", "sessions" ], "url": "/docs/build/building-blocks/sessions", "markdownUrl": "/llm/docs/build/building-blocks/sessions", "title": "Sessions", "description": "Realtime and multimodal ingress for agent workflows, routed through the AgentField control plane.", "aiSummary": "Realtime and multimodal ingress for agent workflows, routed through the AgentField control plane.", "category": "building-blocks", "difficulty": "intermediate", "keywords": [ "session", "realtime", "voice", "webrtc", "audio", "control plane", "workflow" ], "lastModified": "2026-06-17T01:41:58.000Z" }, { "slug": [ "build", "building-blocks", "skills" ], "url": "/docs/build/building-blocks/skills", "markdownUrl": "/llm/docs/build/building-blocks/skills", "title": "Skills", "description": "Deterministic functions for business logic, integrations, and data processing", "aiSummary": "Deterministic functions for business logic, integrations, and data processing", "category": "building-blocks", "difficulty": "beginner", "keywords": [ "skill", "deterministic", "function", "business logic", "integration", "data processing" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "build", "coordination", "cross-agent-calls" ], "url": "/docs/build/coordination/cross-agent-calls", "markdownUrl": "/llm/docs/build/coordination/cross-agent-calls", "title": "Cross-Agent Calls", "description": "Call reasoners and skills on other agents through the control plane execution gateway.", "aiSummary": "Call reasoners and skills on other agents through the control plane execution gateway.", "category": "coordination", "difficulty": "intermediate", "keywords": [ "call", "cross-agent", "rpc", "execution", "workflow", "context-propagation" ], "lastModified": "2026-03-24T17:04:50.000Z" }, { "slug": [ "build", "coordination", "discovery" ], "url": "/docs/build/coordination/discovery", "markdownUrl": "/llm/docs/build/coordination/discovery", "title": "Service Discovery", "description": "Find agents, reasoners, and skills at runtime through the control plane discovery API, and publish selected capabilities through ARD when they need to be discoverable outside the deployment.", "aiSummary": "Find agents, reasoners, and skills at runtime through the control plane discovery API, and publish selected capabilities through ARD when they need to be discoverable outside the deployment.", "category": "coordination", "difficulty": "intermediate", "keywords": [ "discovery", "service-discovery", "registry", "capabilities", "health-check" ], "lastModified": "2026-06-18T20:52:06.000Z" }, { "slug": [ "build", "coordination", "memory-events" ], "url": "/docs/build/coordination/memory-events", "markdownUrl": "/llm/docs/build/coordination/memory-events", "title": "Memory Events", "description": "Reactive programming with memory change subscriptions — trigger agent logic when shared state changes.", "aiSummary": "Reactive programming with memory change subscriptions — trigger agent logic when shared state changes.", "category": "coordination", "difficulty": "intermediate", "keywords": [ "memory", "events", "reactive", "on_change", "watchMemory", "pub-sub", "notifications", "real-time" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "build", "coordination", "orchestration" ], "url": "/docs/build/coordination/orchestration", "markdownUrl": "/llm/docs/build/coordination/orchestration", "title": "Orchestration Patterns", "description": "Multi-agent patterns for parallel, sequential, and fan-out/fan-in execution using cross-agent calls and shared memory.", "aiSummary": "Multi-agent patterns for parallel, sequential, and fan-out/fan-in execution using cross-agent calls and shared memory.", "category": "coordination", "difficulty": "advanced", "keywords": [ "orchestration", "parallel", "fan-out", "fan-in", "pipeline", "dag", "workflow", "multi-agent" ], "lastModified": "2026-03-24T17:04:50.000Z" }, { "slug": [ "build", "coordination", "shared-memory" ], "url": "/docs/build/coordination/shared-memory", "markdownUrl": "/llm/docs/build/coordination/shared-memory", "title": "Shared Memory", "description": "Distributed key-value and vector memory with four isolation scopes for cross-agent state sharing.", "aiSummary": "Distributed key-value and vector memory with four isolation scopes for cross-agent state sharing.", "category": "coordination", "difficulty": "intermediate", "keywords": [ "memory", "state", "kv", "vector", "scope", "shared-memory", "events" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "build", "coordination", "workflow-tracing" ], "url": "/docs/build/coordination/workflow-tracing", "markdownUrl": "/llm/docs/build/coordination/workflow-tracing", "title": "Workflow Tracing", "description": "Distributed tracing headers, DAG visualization, and real-time SSE streaming for multi-agent workflows.", "aiSummary": "Distributed tracing headers, DAG visualization, and real-time SSE streaming for multi-agent workflows.", "category": "coordination", "difficulty": "advanced", "keywords": [ "tracing", "DAG", "workflow", "headers", "correlation", "observability", "SSE", "streaming", "OpenTelemetry" ], "lastModified": "2026-07-02T20:01:26.000Z" }, { "slug": [ "build", "execution", "async" ], "url": "/docs/build/execution/async", "markdownUrl": "/llm/docs/build/execution/async", "title": "Deferred Execution", "description": "Queue long-running executions, get an immediate tracking ID, and finish with polling or webhooks", "aiSummary": "Queue long-running executions, get an immediate tracking ID, and finish with polling or webhooks", "category": "execution", "difficulty": "intermediate", "keywords": [ "async", "deferred", "execution", "polling", "batch", "queue", "fire-and-forget", "durable" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "build", "execution", "human-in-the-loop" ], "url": "/docs/build/execution/human-in-the-loop", "markdownUrl": "/llm/docs/build/execution/human-in-the-loop", "title": "Human-in-the-Loop", "description": "Pause agent execution for human approval with crash-safe state and webhook callbacks", "aiSummary": "Pause agent execution for human approval with crash-safe state and webhook callbacks", "category": "execution", "difficulty": "intermediate", "keywords": [ "approval", "pause", "human-in-the-loop", "HITL", "webhook", "review", "waiting" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "build", "execution", "versioning" ], "url": "/docs/build/execution/versioning", "markdownUrl": "/llm/docs/build/execution/versioning", "title": "Versioning & Lifecycle", "description": "Agent version tracking, lifecycle states, heartbeat monitoring, and lease-based presence", "aiSummary": "Agent version tracking, lifecycle states, heartbeat monitoring, and lease-based presence", "category": "execution", "difficulty": "intermediate", "keywords": [ "version", "lifecycle", "heartbeat", "presence", "lease", "status", "health", "monitoring" ], "lastModified": "2026-05-17T15:14:55.000Z" }, { "slug": [ "build", "execution", "webhooks" ], "url": "/docs/build/execution/webhooks", "markdownUrl": "/llm/docs/build/execution/webhooks", "title": "Webhooks & Streaming", "description": "Execution completion webhooks with HMAC-SHA256, SSE streaming, and observability forwarding", "aiSummary": "Execution completion webhooks with HMAC-SHA256, SSE streaming, and observability forwarding", "category": "execution", "difficulty": "intermediate", "keywords": [ "webhook", "SSE", "streaming", "events", "HMAC", "observability", "dead-letter-queue" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "build", "governance", "audit" ], "url": "/docs/build/governance/audit", "markdownUrl": "/llm/docs/build/governance/audit", "title": "Audit & Observability", "description": "Execution notes, correlation IDs, DAG visualization, Prometheus metrics, and structured logging", "aiSummary": "Execution notes, correlation IDs, DAG visualization, Prometheus metrics, and structured logging", "category": "governance", "difficulty": "intermediate", "keywords": [ "audit", "observability", "notes", "correlation-id", "DAG", "prometheus", "metrics", "logging" ], "lastModified": "2026-03-24T17:04:50.000Z" }, { "slug": [ "build", "governance", "credentials" ], "url": "/docs/build/governance/credentials", "markdownUrl": "/llm/docs/build/governance/credentials", "title": "Verifiable Credentials", "description": "Execution VCs with 3-tier hierarchy, offline verification, and VC chain export", "aiSummary": "Execution VCs with 3-tier hierarchy, offline verification, and VC chain export", "category": "governance", "difficulty": "advanced", "keywords": [ "verifiable-credentials", "VC", "audit", "non-repudiation", "signature", "Ed25519", "proof" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "build", "governance", "identity" ], "url": "/docs/build/governance/identity", "markdownUrl": "/llm/docs/build/governance/identity", "title": "Decentralized Identity", "description": "W3C DIDs with Ed25519 cryptography, automatic registration, and AES-256-GCM keystore", "aiSummary": "W3C DIDs with Ed25519 cryptography, automatic registration, and AES-256-GCM keystore", "category": "governance", "difficulty": "advanced", "keywords": [ "DID", "identity", "Ed25519", "cryptography", "keystore", "did:key", "did:web", "W3C" ], "lastModified": "2026-06-18T20:52:06.000Z" }, { "slug": [ "build", "governance", "permissions" ], "url": "/docs/build/governance/permissions", "markdownUrl": "/llm/docs/build/governance/permissions", "title": "Permissions & Access Control", "description": "Tag-based ACL policies and permission enforcement for cross-agent authorization.", "aiSummary": "Tag-based ACL policies and permission enforcement for cross-agent authorization.", "category": "governance", "difficulty": "advanced", "keywords": [ "permissions", "ACL", "access-control", "tags", "policies", "connectors", "authorization", "security" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "build", "governance", "policy" ], "url": "/docs/build/governance/policy", "markdownUrl": "/llm/docs/build/governance/policy", "title": "Access Policies", "description": "Tag-based access control for cross-agent calls with ALLOW/DENY rules and tag approval workflow", "aiSummary": "Tag-based access control for cross-agent calls with ALLOW/DENY rules and tag approval workflow", "category": "governance", "difficulty": "advanced", "keywords": [ "policy", "access-control", "tags", "authorization", "ALLOW", "DENY", "approval", "tag-vc" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "build", "intelligence", "ai-generation" ], "url": "/docs/build/intelligence/ai-generation", "markdownUrl": "/llm/docs/build/intelligence/ai-generation", "title": "AI Generation", "description": "Text generation and structured output with app.ai() — the universal method for LLM calls", "aiSummary": "Text generation and structured output with app.ai() — the universal method for LLM calls", "category": "intelligence", "difficulty": "beginner", "keywords": [ "ai", "llm", "generation", "structured output", "schema", "pydantic", "zod", "text", "completion" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "build", "intelligence", "harness" ], "url": "/docs/build/intelligence/harness", "markdownUrl": "/llm/docs/build/intelligence/harness", "title": "Harness", "description": "Harness orchestration for Claude Code, Codex, Gemini CLI, and OpenCode", "aiSummary": "Harness orchestration for Claude Code, Codex, Gemini CLI, and OpenCode", "category": "intelligence", "difficulty": "intermediate", "keywords": [ "harness", "coding agent", "claude code", "codex", "gemini", "opencode", "structured output", "tools" ], "lastModified": "2026-05-15T17:43:58.000Z" }, { "slug": [ "build", "intelligence", "media-generation" ], "url": "/docs/build/intelligence/media-generation", "markdownUrl": "/llm/docs/build/intelligence/media-generation", "title": "Media Generation", "description": "Generate images, video, audio, and music with a unified API backed by pluggable media providers across Python, TypeScript, and Go.", "aiSummary": "Generate images, video, audio, and music with a unified API backed by pluggable media providers across Python, TypeScript, and Go.", "category": "intelligence", "difficulty": "intermediate", "keywords": [ "media", "image", "video", "audio", "tts", "transcription", "fal", "generation", "multimodal-output", "music", "openrouter", "mediarouter" ], "lastModified": "2026-06-05T15:32:42.000Z" }, { "slug": [ "build", "intelligence", "models" ], "url": "/docs/build/intelligence/models", "markdownUrl": "/llm/docs/build/intelligence/models", "title": "Models", "description": "100+ LLMs via LiteLLM — model-agnostic configuration, cost controls, and rate limiting", "aiSummary": "100+ LLMs via LiteLLM — model-agnostic configuration, cost controls, and rate limiting", "category": "intelligence", "difficulty": "beginner", "keywords": [ "models", "llm", "litellm", "openai", "anthropic", "google", "mistral", "deepseek", "ollama", "config", "cost" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "build", "intelligence", "multimodal" ], "url": "/docs/build/intelligence/multimodal", "markdownUrl": "/llm/docs/build/intelligence/multimodal", "title": "Multimodal", "description": "Vision, audio, and media generation — images, speech, and video through a unified interface", "aiSummary": "Vision, audio, and media generation — images, speech, and video through a unified interface", "category": "intelligence", "difficulty": "intermediate", "keywords": [ "multimodal", "vision", "audio", "image", "video", "generation", "fal", "dall-e", "tts", "speech" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "build", "intelligence", "tool-calling" ], "url": "/docs/build/intelligence/tool-calling", "markdownUrl": "/llm/docs/build/intelligence/tool-calling", "title": "Tool Calling", "description": "AI auto-discovers and invokes other agents as tools through the control plane", "aiSummary": "AI auto-discovers and invokes other agents as tools through the control plane", "category": "intelligence", "difficulty": "intermediate", "keywords": [ "tool calling", "discover", "agent tools", "function calling", "tool-call loop", "dispatch" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "integrations" ], "url": "/docs/integrations", "markdownUrl": "/llm/docs/integrations", "title": "Integrations", "description": "First-party AgentField open-source integration sources and capability packs.", "aiSummary": "First-party AgentField open-source integration sources and capability packs.", "category": "integrations", "difficulty": "beginner", "keywords": [ "integrations", "sources", "webhooks", "snowflake", "databricks", "github", "slack", "stripe", "cron" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "anthropic" ], "url": "/docs/integrations/anthropic", "markdownUrl": "/llm/docs/integrations/anthropic", "title": "Anthropic — Claude Code", "description": "Spawn Anthropic's Claude Code from inside agent loops with budget caps, schema-bound output, and the official claude_agent_sdk.", "aiSummary": "Spawn Anthropic's Claude Code from inside agent loops with budget caps, schema-bound output, and the official claude_agent_sdk.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "harness", "anthropic", "claude code", "autonomous loop", "coding agent", "plan mode" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "integrations", "cron" ], "url": "/docs/integrations/cron", "markdownUrl": "/llm/docs/integrations/cron", "title": "Cron", "description": "Run AgentField reasoners from a server-side schedule.", "aiSummary": "Run AgentField reasoners from a server-side schedule.", "category": "integrations", "difficulty": "beginner", "keywords": [ "cron", "schedule", "loop source", "trigger", "integration" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "custom-webhooks" ], "url": "/docs/integrations/custom-webhooks", "markdownUrl": "/llm/docs/integrations/custom-webhooks", "title": "Custom Webhooks", "description": "Connect any system that can POST JSON with generic HMAC or Bearer authentication.", "aiSummary": "Connect any system that can POST JSON with generic HMAC or Bearer authentication.", "category": "integrations", "difficulty": "beginner", "keywords": [ "custom webhook", "generic_hmac", "generic_bearer", "hmac", "bearer", "zapier" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "databricks" ], "url": "/docs/integrations/databricks", "markdownUrl": "/llm/docs/integrations/databricks", "title": "Databricks", "description": "Verify Databricks notification destination webhooks and expose Databricks SQL, AI Functions, and Model Serving as AgentField capabilities.", "aiSummary": "Verify Databricks notification destination webhooks and expose Databricks SQL, AI Functions, and Model Serving as AgentField capabilities.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "databricks", "integration", "notification destinations", "ai_query", "model serving", "sql", "source", "capability node", "unity catalog" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "gemini" ], "url": "/docs/integrations/gemini", "markdownUrl": "/llm/docs/integrations/gemini", "title": "Google — Gemini CLI", "description": "Spawn Google's Gemini CLI from inside agent loops. The long-context worker — whole-repo passes with massive context windows.", "aiSummary": "Spawn Google's Gemini CLI from inside agent loops. The long-context worker — whole-repo passes with massive context windows.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "harness", "gemini", "google", "autonomous loop", "long context", "coding agent" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "integrations", "github" ], "url": "/docs/integrations/github", "markdownUrl": "/llm/docs/integrations/github", "title": "GitHub", "description": "Trigger AgentField reasoners from signed GitHub webhooks.", "aiSummary": "Trigger AgentField reasoners from signed GitHub webhooks.", "category": "integrations", "difficulty": "beginner", "keywords": [ "github", "webhook", "pull_request", "issues", "push", "workflow_run", "integration" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "openai" ], "url": "/docs/integrations/openai", "markdownUrl": "/llm/docs/integrations/openai", "title": "OpenAI — Codex", "description": "Spawn OpenAI Codex from inside agent loops with budget caps, schema-bound output, and subprocess control.", "aiSummary": "Spawn OpenAI Codex from inside agent loops with budget caps, schema-bound output, and subprocess control.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "harness", "openai", "codex", "autonomous loop", "coding agent", "cli" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "integrations", "opencode" ], "url": "/docs/integrations/opencode", "markdownUrl": "/llm/docs/integrations/opencode", "title": "OpenCode — open-model path", "description": "Spawn OpenCode from inside agent loops. The open-model harness — point it at Llama, Qwen, DeepSeek, or any model you self-host.", "aiSummary": "Spawn OpenCode from inside agent loops. The open-model harness — point it at Llama, Qwen, DeepSeek, or any model you self-host.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "harness", "opencode", "open weights", "llama", "qwen", "deepseek", "self-hosted", "autonomous loop" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "integrations", "slack" ], "url": "/docs/integrations/slack", "markdownUrl": "/llm/docs/integrations/slack", "title": "Slack", "description": "Trigger AgentField reasoners from signed Slack Events API requests.", "aiSummary": "Trigger AgentField reasoners from signed Slack Events API requests.", "category": "integrations", "difficulty": "beginner", "keywords": [ "slack", "events api", "slash commands", "webhook", "integration" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "snowflake" ], "url": "/docs/integrations/snowflake", "markdownUrl": "/llm/docs/integrations/snowflake", "title": "Snowflake", "description": "Poll Snowflake event tables and expose Snowflake SQL and Cortex as AgentField capabilities.", "aiSummary": "Poll Snowflake event tables and expose Snowflake SQL and Cortex as AgentField capabilities.", "category": "integrations", "difficulty": "intermediate", "keywords": [ "snowflake", "integration", "event_table_poll", "cortex", "sql", "source", "capability node" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "integrations", "stripe" ], "url": "/docs/integrations/stripe", "markdownUrl": "/llm/docs/integrations/stripe", "title": "Stripe", "description": "Trigger AgentField reasoners from signed Stripe webhooks.", "aiSummary": "Trigger AgentField reasoners from signed Stripe webhooks.", "category": "integrations", "difficulty": "beginner", "keywords": [ "stripe", "webhook", "payments", "invoice", "checkout", "integration" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "learn" ], "url": "/docs/learn", "markdownUrl": "/llm/docs/learn", "title": "AgentField Documentation", "description": "The AI backend. Build, deploy, and govern AI agents like APIs.", "aiSummary": "The AI backend. Build, deploy, and govern AI agents like APIs.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "agentfield", "ai backend", "agents", "documentation" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "learn", "examples" ], "url": "/docs/learn/examples", "markdownUrl": "/llm/docs/learn/examples", "title": "Examples", "description": "Runnable patterns — multi-agent, tools, support-style flows.", "aiSummary": "Runnable patterns — multi-agent, tools, support-style flows.", "category": "getting-started", "difficulty": "beginner", "keywords": [], "lastModified": "2026-03-24T15:33:27.000Z" }, { "slug": [ "learn", "examples", "customer-support" ], "url": "/docs/learn/examples/customer-support", "markdownUrl": "/llm/docs/learn/examples/customer-support", "title": "Customer support (example)", "description": "Placeholder — triage, sentiment, memory, human-in-the-loop.", "aiSummary": "Placeholder — triage, sentiment, memory, human-in-the-loop.", "category": "getting-started", "difficulty": "intermediate", "keywords": [], "lastModified": "2026-03-24T15:33:27.000Z" }, { "slug": [ "learn", "examples", "research-agent" ], "url": "/docs/learn/examples/research-agent", "markdownUrl": "/llm/docs/learn/examples/research-agent", "title": "Research agent (example)", "description": "Placeholder — multi-step research with fan-out and structured output.", "aiSummary": "Placeholder — multi-step research with fan-out and structured output.", "category": "getting-started", "difficulty": "intermediate", "keywords": [], "lastModified": "2026-03-24T15:33:27.000Z" }, { "slug": [ "learn", "examples", "tool-calling-pipeline" ], "url": "/docs/learn/examples/tool-calling-pipeline", "markdownUrl": "/llm/docs/learn/examples/tool-calling-pipeline", "title": "Tool-calling pipeline (example)", "description": "Placeholder — discovery + agents invoked as tools.", "aiSummary": "Placeholder — discovery + agents invoked as tools.", "category": "getting-started", "difficulty": "intermediate", "keywords": [], "lastModified": "2026-03-24T15:33:27.000Z" }, { "slug": [ "learn", "features" ], "url": "/docs/learn/features", "markdownUrl": "/llm/docs/learn/features", "title": "Production capabilities", "description": "The backend capabilities AgentField gives agent systems out of the box.", "aiSummary": "The backend capabilities AgentField gives agent systems out of the box.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "features", "capabilities", "ai backend", "agent api", "triggers", "canary", "iam", "audit", "sdk" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "learn", "how-it-works" ], "url": "/docs/learn/how-it-works", "markdownUrl": "/llm/docs/learn/how-it-works", "title": "How AgentField works", "description": "Primitives, control plane, sync and async execution, and cross-agent calls.", "aiSummary": "Primitives, control plane, sync and async execution, and cross-agent calls.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "architecture", "control plane", "agents", "reasoners", "skills", "async", "cross-agent calls" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "learn", "quickstart" ], "url": "/docs/learn/quickstart", "markdownUrl": "/llm/docs/learn/quickstart", "title": "Quickstart", "description": "Build an AI backend with your coding agent, or write the first agent yourself.", "aiSummary": "Build an AI backend with your coding agent, or write the first agent yourself.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "quickstart", "install", "getting started", "coding agent", "claude code", "codex", "cursor", "cli", "scaffold" ], "lastModified": "2026-05-15T18:54:34.000Z" }, { "slug": [ "learn", "vs-frameworks" ], "url": "/docs/learn/vs-frameworks", "markdownUrl": "/llm/docs/learn/vs-frameworks", "title": "Agent frameworks vs the AI Backend", "description": "Where AgentField fits when agents become production systems.", "aiSummary": "Where AgentField fits when agents become production systems.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "agent frameworks", "langchain", "crewai", "langgraph", "temporal", "n8n", "ai backend", "agentic APIs" ], "lastModified": "2026-06-17T00:44:01.000Z" }, { "slug": [ "quick-guides" ], "url": "/docs/quick-guides", "markdownUrl": "/llm/docs/quick-guides", "title": "Quick Guides", "description": "Practical things you can do with AgentField that most agent frameworks leave you to assemble yourself.", "aiSummary": "Practical things you can do with AgentField that most agent frameworks leave you to assemble yourself.", "category": "getting-started", "difficulty": "beginner", "keywords": [ "quick guides", "capabilities", "agentfield" ], "lastModified": "2026-06-18T20:52:06.000Z" }, { "slug": [ "quick-guides", "ab-test-deployments" ], "url": "/docs/quick-guides/ab-test-deployments", "markdownUrl": "/llm/docs/quick-guides/ab-test-deployments", "title": "A/B test agent deployments", "description": "Run two versions of an agent side by side, route a percentage of traffic to each, and compare results from the workflow DAG.", "aiSummary": "Run two versions of an agent side by side, route a percentage of traffic to each, and compare results from the workflow DAG.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "ab testing", "canary", "blue green", "version", "traffic split", "deployment" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "access-control" ], "url": "/docs/quick-guides/access-control", "markdownUrl": "/llm/docs/quick-guides/access-control", "title": "Access control between agents", "description": "Allow or deny cross-agent calls based on tags, function names, and even argument values.", "aiSummary": "Allow or deny cross-agent calls based on tags, function names, and even argument values.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "access control", "policy", "authorization", "tags", "allow", "deny", "rbac" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "agent-discovery" ], "url": "/docs/quick-guides/agent-discovery", "markdownUrl": "/llm/docs/quick-guides/agent-discovery", "title": "Agent discovery — MCP-style for agents calling agents", "description": "Query a live registry of agents at runtime. Filter by tag and health, hand the result to an LLM as a tool list, let it pick.", "aiSummary": "Query a live registry of agents at runtime. Filter by tag and health, hand the result to an LLM as a tool list, let it pick.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "discovery", "mcp", "registry", "dynamic routing", "tool calling", "capability" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "cryptographic-receipts" ], "url": "/docs/quick-guides/cryptographic-receipts", "markdownUrl": "/llm/docs/quick-guides/cryptographic-receipts", "title": "Cryptographic receipts for every AI decision", "description": "Every reasoner execution produces a signed, offline-verifiable W3C Verifiable Credential with SHA-256 hashes of input and output.", "aiSummary": "Every reasoner execution produces a signed, offline-verifiable W3C Verifiable Credential with SHA-256 hashes of input and output.", "category": "quick-guides", "difficulty": "beginner", "keywords": [ "verifiable credentials", "vc", "did", "audit", "ed25519", "w3c" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "durable-human-approval" ], "url": "/docs/quick-guides/durable-human-approval", "markdownUrl": "/llm/docs/quick-guides/durable-human-approval", "title": "Multi-step human approval that survives restarts", "description": "Pause execution mid-run for a human decision. State persists in PostgreSQL, so a crashed server resumes exactly where it left off.", "aiSummary": "Pause execution mid-run for a human decision. State persists in PostgreSQL, so a crashed server resumes exactly where it left off.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "human in the loop", "hitl", "approval", "pause", "durable", "webhook" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "external-agent-discovery" ], "url": "/docs/quick-guides/external-agent-discovery", "markdownUrl": "/llm/docs/quick-guides/external-agent-discovery", "title": "Expose agents to external discovery", "description": "Use Agentic Resource Discovery to publish selected AgentField capabilities, import trusted outside agents, and make only approved imports callable.", "aiSummary": "Use Agentic Resource Discovery to publish selected AgentField capabilities, import trusted outside agents, and make only approved imports callable.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "ARD", "agentic resource discovery", "ai-catalog", "discovery", "external agents", "agent IAM" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "harness-orchestration" ], "url": "/docs/quick-guides/harness-orchestration", "markdownUrl": "/llm/docs/quick-guides/harness-orchestration", "title": "Harness orchestration", "description": "Dispatch Claude Code, Codex, Gemini CLI, or OpenCode as typed workers with cost and turn caps.", "aiSummary": "Dispatch Claude Code, Codex, Gemini CLI, or OpenCode as typed workers with cost and turn caps.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "harness", "claude code", "codex", "gemini", "coding agent", "structured output", "cost cap" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "memory-triggers" ], "url": "/docs/quick-guides/memory-triggers", "markdownUrl": "/llm/docs/quick-guides/memory-triggers", "title": "Trigger agents on memory changes", "description": "Subscribe a reasoner to a memory key pattern. When any agent writes to a matching key, the reasoner fires.", "aiSummary": "Subscribe a reasoner to a memory key pattern. When any agent writes to a matching key, the reasoner fires.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "memory", "events", "reactive", "on_change", "pub sub", "trigger" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "multimodal-agents" ], "url": "/docs/quick-guides/multimodal-agents", "markdownUrl": "/llm/docs/quick-guides/multimodal-agents", "title": "Multimodal agents — vision, image, and audio in one pipeline", "description": "One agent that takes images and audio in, and emits images, audio, or video out. Same SDK, same call surface.", "aiSummary": "One agent that takes images and audio in, and emits images, audio, or video out. Same SDK, same call surface.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "multimodal", "vision", "image generation", "audio", "tts", "video", "dall-e", "fal" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "outbound-api-identity" ], "url": "/docs/quick-guides/outbound-api-identity", "markdownUrl": "/llm/docs/quick-guides/outbound-api-identity", "title": "Replace API keys with agent identity", "description": "Sign outbound HTTP requests with the agent's DID. Partners verify the signature against a public key — no shared secrets, no key rotation.", "aiSummary": "Sign outbound HTTP requests with the agent's DID. Partners verify the signature against a public key — no shared secrets, no key rotation.", "category": "quick-guides", "difficulty": "advanced", "keywords": [ "did", "outbound", "api authentication", "ed25519", "signed requests", "no api keys" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "realtime-voice-sessions" ], "url": "/docs/quick-guides/realtime-voice-sessions", "markdownUrl": "/llm/docs/quick-guides/realtime-voice-sessions", "title": "Realtime voice sessions", "description": "A live voice agent in one decorator — control plane owns the provider, every turn lands in the workflow DAG.", "aiSummary": "A live voice agent in one decorator — control plane owns the provider, every turn lands in the workflow DAG.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "realtime", "voice", "webrtc", "session", "openai", "control plane", "workflow" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "signed-audit-chain" ], "url": "/docs/quick-guides/signed-audit-chain", "markdownUrl": "/llm/docs/quick-guides/signed-audit-chain", "title": "Signed audit chain for any workflow", "description": "Every step of a multi-agent workflow becomes a signed Verifiable Credential. Pull the whole chain in topological order with one request.", "aiSummary": "Every step of a multi-agent workflow becomes a signed Verifiable Credential. Pull the whole chain in topological order with one request.", "category": "quick-guides", "difficulty": "advanced", "keywords": [ "audit", "verifiable credentials", "vc chain", "workflow", "compliance", "non-repudiation" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "quick-guides", "webhook-triggers" ], "url": "/docs/quick-guides/webhook-triggers", "markdownUrl": "/llm/docs/quick-guides/webhook-triggers", "title": "Trigger agents from GitHub, Stripe, Slack, or any custom webhook", "description": "Bind a reasoner to an external event source. The control plane verifies the signature, drops replays, and dispatches the event to your reasoner.", "aiSummary": "Bind a reasoner to an external event source. The control plane verifies the signature, drops replays, and dispatches the event to your reasoner.", "category": "quick-guides", "difficulty": "intermediate", "keywords": [ "webhook", "trigger", "github", "stripe", "slack", "cron", "schedule", "integration", "event source" ], "lastModified": "2026-06-26T17:39:33.000Z" }, { "slug": [ "reference", "deploy" ], "url": "/docs/reference/deploy", "markdownUrl": "/llm/docs/reference/deploy", "title": "Deployment", "description": "Deploy the AgentField control plane and agent nodes to local, Docker, Kubernetes, or cloud environments.", "aiSummary": "Deploy the AgentField control plane and agent nodes to local, Docker, Kubernetes, or cloud environments.", "category": "deploy", "difficulty": "intermediate", "keywords": [ "deploy", "docker", "kubernetes", "cloud", "production", "sqlite", "postgres" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "reference", "deploy", "serverless" ], "url": "/docs/reference/deploy/serverless", "markdownUrl": "/llm/docs/reference/deploy/serverless", "title": "Serverless Deployment", "description": "Deploy agents as serverless functions with handle_serverless(), Lambda adapters, and scale-to-zero.", "aiSummary": "Deploy agents as serverless functions with handle_serverless(), Lambda adapters, and scale-to-zero.", "category": "deploy", "difficulty": "intermediate", "keywords": [ "serverless", "lambda", "cloud-functions", "cloud-run", "vercel", "scale-to-zero", "deployment", "faas" ], "lastModified": "2026-03-24T16:54:10.000Z" }, { "slug": [ "reference", "sdks", "cli" ], "url": "/docs/reference/sdks/cli", "markdownUrl": "/llm/docs/reference/sdks/cli", "title": "CLI Reference", "description": "Command reference for the af command-line interface.", "aiSummary": "Command reference for the af command-line interface.", "category": "sdks", "difficulty": "beginner", "keywords": [ "cli", "af", "command-line", "terminal", "agent-mode", "share" ], "lastModified": "2026-07-02T20:01:26.000Z" }, { "slug": [ "reference", "sdks", "configuration" ], "url": "/docs/reference/sdks/configuration", "markdownUrl": "/llm/docs/reference/sdks/configuration", "title": "Configuration Reference", "description": "Complete reference for AIConfig, AsyncConfig, MemoryConfig, HarnessConfig, WebhookConfig, ToolCallConfig, and control-plane ARD guardrails.", "aiSummary": "Complete reference for AIConfig, AsyncConfig, MemoryConfig, HarnessConfig, WebhookConfig, ToolCallConfig, and control-plane ARD guardrails.", "category": "sdks", "difficulty": "intermediate", "keywords": [ "config", "AIConfig", "AsyncConfig", "MemoryConfig", "HarnessConfig", "WebhookConfig", "ToolCallConfig", "settings" ], "lastModified": "2026-06-18T20:52:06.000Z" }, { "slug": [ "reference", "sdks", "go" ], "url": "/docs/reference/sdks/go", "markdownUrl": "/llm/docs/reference/sdks/go", "title": "Go SDK", "description": "Build production agents in Go with the AgentField SDK", "aiSummary": "Build production agents in Go with the AgentField SDK", "category": "sdks", "difficulty": "intermediate", "keywords": [ "go", "golang", "sdk", "agent", "reasoner", "memory", "ai", "harness" ], "lastModified": "2026-06-17T01:00:28.000Z" }, { "slug": [ "reference", "sdks", "python" ], "url": "/docs/reference/sdks/python", "markdownUrl": "/llm/docs/reference/sdks/python", "title": "Python SDK", "description": "Build agents with the AgentField Python SDK", "aiSummary": "Build agents with the AgentField Python SDK", "category": "sdks", "difficulty": "beginner", "keywords": [ "python", "sdk", "pip", "agentfield", "pydantic" ], "lastModified": "2026-06-17T01:00:28.000Z" }, { "slug": [ "reference", "sdks", "rest-api" ], "url": "/docs/reference/sdks/rest-api", "markdownUrl": "/llm/docs/reference/sdks/rest-api", "title": "REST API", "description": "Complete HTTP endpoint reference for the AgentField control plane.", "aiSummary": "Complete HTTP endpoint reference for the AgentField control plane.", "category": "sdks", "difficulty": "intermediate", "keywords": [ "rest", "api", "http", "endpoints", "control-plane", "agentic" ], "lastModified": "2026-06-18T20:52:06.000Z" }, { "slug": [ "reference", "sdks", "typescript" ], "url": "/docs/reference/sdks/typescript", "markdownUrl": "/llm/docs/reference/sdks/typescript", "title": "TypeScript SDK", "description": "Full API reference for @agentfield/sdk — the TypeScript SDK for building AI agents on AgentField.", "aiSummary": "Full API reference for @agentfield/sdk — the TypeScript SDK for building AI agents on AgentField.", "category": "sdks", "difficulty": "beginner", "keywords": [ "typescript", "sdk", "npm", "agentfield", "zod", "node" ], "lastModified": "2026-06-17T01:00:28.000Z" }, { "slug": [ "reference", "testing" ], "url": "/docs/reference/testing", "markdownUrl": "/llm/docs/reference/testing", "title": "Testing", "description": "Patterns for unit testing, integration testing, and mocking AgentField agents.", "aiSummary": "Patterns for unit testing, integration testing, and mocking AgentField agents.", "category": "reference", "difficulty": "intermediate", "keywords": [ "testing", "pytest", "mock", "asyncmock", "ci", "unit-test", "integration-test" ], "lastModified": "2026-06-18T16:06:09.000Z" }, { "slug": [ "reference", "testing-guide" ], "url": "/docs/reference/testing-guide", "markdownUrl": "/llm/docs/reference/testing-guide", "title": "Testing", "description": "Patterns for unit testing, integration testing, and mocking AgentField agents.", "aiSummary": "Patterns for unit testing, integration testing, and mocking AgentField agents.", "keywords": [], "lastModified": "2026-03-24T15:33:27.000Z" }, { "slug": [ "reference", "troubleshooting" ], "url": "/docs/reference/troubleshooting", "markdownUrl": "/llm/docs/reference/troubleshooting", "title": "Troubleshooting", "description": "Common errors, debugging patterns, and solutions for AgentField.", "aiSummary": "Common errors, debugging patterns, and solutions for AgentField.", "category": "reference", "difficulty": "intermediate", "keywords": [ "troubleshooting", "errors", "debugging", "logging", "environment variables" ], "lastModified": "2026-03-25T17:44:51.000Z" }, { "slug": [ "reference", "troubleshooting-guide" ], "url": "/docs/reference/troubleshooting-guide", "markdownUrl": "/llm/docs/reference/troubleshooting-guide", "title": "Troubleshooting", "description": "Common errors, debugging patterns, and solutions for AgentField.", "aiSummary": "Common errors, debugging patterns, and solutions for AgentField.", "category": "reference", "difficulty": "intermediate", "keywords": [ "troubleshooting", "errors", "debugging", "logging", "environment variables" ], "lastModified": "2026-06-17T00:44:01.000Z" } ] }