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TraceCtrl

TraceCtrl gives security teams and developers complete visibility into every agent action, tool call, and data access — with runtime protection and attack graph risk scoring. Built by CloudsineAI.

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What TraceCtrl Does

Agent Visibility

See every LLM call, tool invocation, and agent-to-agent message in real time. Know exactly what your agents are doing.

Security Enrichment

Every span is enriched with security attributes — tool risk categories, input provenance, session correlation, and prompt drift detection.

Topology Mapping

Automatically discovers agent-to-agent and agent-to-tool relationships, building a live topology graph of your agentic system.

Risk Scoring

TAGAAI-powered attack graph analysis scores agents and paths by exploitability — prompt injection, excessive agency, data leakage.

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How It Works

TraceCtrl uses OpenTelemetry as the transport layer. You add 3 lines to your agent code, and the SDK captures every operation as enriched spans. 
import tracectrl
tracectrl.configure(service_name="my-agent")

from tracectrl.instrumentation.langchain import LangChainInstrumentor
LangChainInstrumentor().instrument()

# Your existing agent code — no changes needed
Spans flow through the OTel Collector into ClickHouse, where the TraceCtrl Engine processes them into an agent inventory, topology graph, and risk scores — all queryable via API and visible in the dashboard.

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Supported Frameworks

FrameworkPackageStatus
LangChain / LangGraphtracectrl-instrumentation-langchainStable
CrewAItracectrl-instrumentation-crewaiStable
Agnotracectrl-instrumentation-agnoStable
Google ADKtracectrl-instrumentation-google-adkStable
AWS Strandstracectrl-instrumentation-strandsStable

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Next Steps

Quickstart

Get TraceCtrl running in 5 minutes with Docker Compose.

SDK Installation

Install the SDK and instrument your first agent.