Traccia
Traccia is an OpenTelemetry-native platform and SDK for observability, evaluation, governance, and policy enforcement across AI agents. It gives teams unified agent visibility, end-to-end tracing, cost attribution, hard-block guardrails for policy violations, prompt registry and experiment tooling, and compliance evidence for regulations like the EU AI Act and optional HIPAA controls.
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Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Free
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Traccia
Traccia is an OpenTelemetry-native control plane and SDK designed to observe, evaluate, govern, and enforce policies for AI agents across frameworks (LangChain, CrewAI, OpenAI Agents SDK, AutoGen, LlamaIndex). It provides unified visibility into every agent, real-time health scores, end-to-end tracing of LLM calls and tool use, accurate cost and token attribution, policy monitoring with hard blocks, PII detection and optional redaction, a prompt registry with experiments and promotion workflows, and built-in compliance evidence for regulations such as the EU AI Act and HIPAA controls. Traccia is positioned for engineering and compliance teams in organizations that need auditability, cost control, and automated enforcement at scale.
OpenTelemetry-native tracing with runtime policy enforcement, prompt registry & evals, cost attribution, and EU AI Act evidence. One SDK for LangChain, CrewAI, OpenAI Agents SDK & more.
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Claim this listing for $29Key Features
Unified Agent Registry
A single inventory of agents across frameworks that tracks version, health, environment, ownership and execution metadata without changing agent code.
End-to-End Tracing (OpenTelemetry-native)
Full OpenTelemetry-native visibility into every LLM call, tool use, and agent decision. Drop-in tracing for LangChain, CrewAI, OpenAI Agents SDK, AutoGen, and LlamaIndex.
Policy Monitoring & Enforcement
Three-tier guardrail detection (explicit annotations, provider-native signals, heuristics) with soft and hard blocks; hard blocks can stop agents mid-execution to prevent PII leaks, runaway costs, or other violations.
Cost & Token Attribution
Accurate token and cost accounting across 2,500+ models, computed locally at span-end so totals remain accurate even with trace sampling.
PII & Sensitive Data Detection
Flags PII exposure in traces (patient names, credentials, user data) before data reaches logs, with enforcement and optional SDK masking (init(redact_pii=True)).
Prompt Registry, Experiments & Evals
Named immutable prompt versions, side-by-side comparisons with latency/tokens/cost, experiment datasets and scorers (LLM-as-judge or custom), and promote-to-production flows with attached evidence.
Compliance Evidence Export
Article-mapped evidence for EU AI Act (Art.12, Art.14, Art.50) and opt-in HIPAA controls (PHI inventory, labeled exports), export-ready evidence packs for audits.
Open SDK and Backend Integrations
One SDK that exports OTLP traces and works with any OpenTelemetry-compatible backend; supports OpenAI & Anthropic native signals and any HTTP-based provider.
Pricing
Get Started For Free — open-source SDK and local tracing available; no detailed commercial pricing disclosed on the page.
Use Cases
Fleet-wide agent observability
Monitor health, errors, latency, throughput, and cost across hundreds of agents from a unified registry and dashboard.
Automated governance and enforcement
Detect policy violations and enforce guardrails (including hard blocks) to prevent sensitive data leaks, runaway costs, or disallowed models during agent execution.
Cost attribution and optimization
Attribute LLM spend to specific agents and tasks to identify top spenders and implement cost guards or optimizations.
Prompt evaluation and safe promotion
Version prompts, run experiments with datasets and scorers, compare candidate vs baseline, and promote improved prompts to production with evidence attached.
Compliance and audit readiness
Export audit-ready evidence packs mapped to regulatory requirements (EU AI Act, HIPAA) including event spans, human review queues, and disclosure hooks.
Integrations
LangChain, CrewAI, OpenAI Agents SDK, AutoGen, LlamaIndex
Drop-in tracing and registry support across multiple agent frameworks to unify visibility.
OpenAI & Anthropic (native signals) and any HTTP-based LLM provider
Automatic token and cost tracking for supported providers; generic tracing for any HTTP provider.
OTLP-compatible backends (Jaeger, Grafana Tempo, Zipkin, SigNoz)
Export traces to common observability backends via OpenTelemetry/OTLP.
Benefits
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Install the SDK (pip install traccia) or use the open-source SDK without an account for local tracing.
- 2 Step 2: Initialize the SDK in your agent code (traccia.init()) to connect the registry and begin exporting traces and metadata.
- 3 Step 3: Choose platform usage: export traces to your observability backend (OTLP-compatible) or sign up for the Traccia platform to access the governance dashboard, prompt registry, policy guardrails, and compliance exports.
Support
docs
Documentation available via the Docs link on traccia.ai (refer to the site's Docs link).
github
Open-source SDK and repository referenced on the site (GitHub link present in footer).
blog
Product updates and articles accessible via the Blog link on traccia.ai.
contact
Contact link available on the site for sales or support inquiries.
API
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