Every decision deserves a why.
The decision tracing and governance layer for AI agents. Works with LangChain, n8n, and any custom agent—no orchestration required.
from aiagentree import AgentreeClient, TracedAgent
# Auto-trace any LLM (3 lines of code)
with TracedAgent(client, workflow_id="claim_review", entity_id="CLM-4821") as agent:
response = agent.chat(
llm=openai_client, # or anthropic, ollama, langchain
message="Review this insurance claim",
context={"claim_amount": 15000, "customer_tier": "premium"}
)
# Reasoning automatically extracted & traced!
print(f"Trace ID: {agent.trace_id}")
Your AI agents work 24/7, handling customer refunds, reviewing contracts, and approving payments. But when something goes wrong—or when regulators ask "why?"—you're stuck.
AI models produce outputs, not explanations. The reasoning disappears into logs and prompts.
Legal doesn't approve what they can't audit. Customers don't accept what they can't appeal.
You can't systematically improve what you can't understand. Optimization becomes guesswork.
Manual oversight worked for one agent. It doesn't work for thousands of decisions per hour.
Every tool tells you what happened. No one tells you why it happened.
Until now.
What everyone else stores
"What did it do?"
Useful. But incomplete.
What we capture
"Why did it decide that?"
The question that matters.
No one owns "why" today.
Execution tools log behavior. Observability tools track metrics.
We capture the reasoning that makes decisions defensible.
Every outcome makes the next decision better. Bad precedents automatically sink; proven ones rise.
From decision capture to pattern detection, we provide the complete infrastructure for responsible AI operations.
Capture the complete reasoning behind every AI decision—from inputs to deliberation to final output. Structured data, not unstructured logs.
Automatically validate that AI decisions meet quality standards. Get a quality score (0-100) for every decision and catch issues early.
Find similar past decisions using vector embeddings. AI-powered institutional memory that learns from every decision.
Connect AI decisions to real-world results. Track outcomes at three horizons: immediate, short-term, and long-term.
Identify recurring decision patterns that could be automated. Let AI suggest its own improvements based on historical data.
Human-in-the-loop when you need it, with SLA tracking to ensure timely review. No decisions stuck in limbo.
See AI decisions as they happen. Live dashboards, instant alerts, and never be surprised by what your AI is doing.
Comprehensive analytics on AI decision-making. Executive dashboards, agent performance, and audit-ready exports.
See how organizations across industries use Decision Agent Platform to govern their AI systems.
Transparent AI-powered customer interactions with complete decision tracing for trust and compliance.
Dramatic reduction in decision explanation time
AI-powered contract analysis with transparent risk scoring and precedent-based recommendations.
Significantly faster review cycles
Compliant claims processing with complete audit trails for every approval, denial, and escalation.
Faster appeal processing with full context
Audit-ready financial automation with complete decision documentation for every transaction.
Audit-ready decision documentation
Fair, transparent hiring with documented evaluation criteria and defensible decision trails.
Defensible hiring documentation
Intelligent IT automation with decision traces for incident response and change management.
Faster post-incident analysis
Add decision tracing to your AI agents with just a few lines of code.
Add our SDK to your agent code. Works with LangChain, n8n, or any custom framework. No orchestration changes required.
pip install ai-agentree-sdkAs your agent runs, the SDK captures structured decision events—inputs, deliberation, relations, and outcomes.
View decisions in real-time, search precedents, track outcomes, and identify patterns for automation.
From native SDKs to industry-standard protocols. Choose the integration method that fits your architecture—or use them all.
Full-featured Python SDK with auto-retry, PII redaction, and structured output parsing. Three lines to start tracing decisions.
pip install ai-agentree-sdkFull REST API for any language or framework. Trace ingestion, search, validation, analytics—everything the SDK does, via HTTP.
POST /api/aiagentree/tracesModel Context Protocol support via Streamable HTTP. AI agents discover and call decision tools natively—no SDK installation required.
4 tools: append, seal, get, searchDelegate decisions between AI agents with full trace lineage. Parent-child chains up to 10 levels deep, with complete Decision Packets at each hop.
POST /api/aiagentree/a2a/delegateAutomatically emit decision spans to your existing observability stack. Works with Jaeger, Datadog, Grafana Tempo, and any OTLP-compatible backend.
OTEL_ENABLED=true # zero-code setupAuto-generated JSON Schema and OpenAPI 3.1 specs for every data model. Use them for validation, code generation, or documentation.
GET /api/aiagentree/schemas/openapiEvery integration method talks to the same decision engine. Mix and match based on your architecture—SDK for your Python agents, MCP for Claude and ChatGPT, A2A for multi-agent workflows, OTel for your ops team.
Zero-config auto-tracing extracts reasoning from any LLM—OpenAI, Anthropic, Ollama, LangChain. Add decision tracing in 3 lines of code.
MCP and A2A let AI agents discover and use decision tools without any custom code. True AI-native integration.
OpenTelemetry bridges decision spans into Jaeger, Datadog, or Grafana—see AI reasoning alongside your application traces.
We complement your existing tools—we don't replace them.
We don't orchestrate agents. Use LangChain, n8n, or your own code.
We don't manage prompts. We capture decisions that result from any prompt.
We capture structured justifications, not raw model outputs.
We record decisions as first-class artifacts for audit, learning, and improvement.
Begin gratis, schaal naarmate u groeit. Alle plannen bevatten kernfuncties.
For development and proof-of-concept
For your first production agent
For growing teams
For teams with multiple AI agents
Voor grootschalige AI-activiteiten
Check out Argumentree Forum for team debates, consensus building, and decision visualization.
Every decision deserves a why.
When someone asks "why did the AI do that?"—you'll have the answer. Not a log file. Not a guess. The actual reasoning.