Blank white background with no objects or features visible.

Join the Resilient Agents online hackathon hosted by TrueFoundry. Win up to $10,000 in prizes. Register Now →

Enterprise Ready : VPC | On-Prem | Air-Gapped

End-to-End Observability for AI Agents and Applications

Understand agentic paths, and ensure your AI behaves as expected—all with zero guesswork.

Try out Tracing
arrow1Book Demo
Dark blue gradient background transitioning to black, with no visible objects or text present anywhere.

Trace the Full Lifecycle of Your AI Application

Achieve real-time AI observability by tracing every step from user input to agent response:

  • User prompts, system messages, and tool inputs
  • LLM calls (OpenAI, Anthropic, Cohere, etc.)
  • Tool invocations (LangChain-style or custom functions)
  • Workflow decisions and execution paths
Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.
Run command and chat completion logs with timestamps, fastapi, logfire, and openai.
Visualize how your AI systems reason, process, and respond—enabling faster debugging, performance optimization, and better decision-making through complete AI observability.

Trace and Time Every LLM & Tool call in Real Time

Achieve high-fidelity AI observability and actionable metrics:

  • Identify LLM performance bottlenecks and slow responses
  • Track token usage, model selection, and request cost
  • Understand how tools and functions impact workflows
  • Spot repeated patterns, unexpected outputs, and failures
Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.
Banking assistant agent interface with user query and AI response for account balance inquiry.

Agent Observability with Auto-Instrumentation

Automatically capture detailed traces from your AI agents:

  • LLM requests and model metadata
  • Tool/function calls and execution durations
  • Workflow logic, branching, and decision flow
  • User/session-level trace context
Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.
TraceLoop SDK code snippet with Traceloop initialization and API endpoint configuration.
Agent tracing with span-by-span tracking of how your agents reason, make decisions, and act.
Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.

Built on OpenTelemetry for AI Observability

Works across LLM-powered APIs, RAG pipelines, autonomous agents, and complex agent networks.

Take advantage of the open standard for distributed tracing and AI observability:

  • Compatible with any OpenTelemetry SDK
  • Vendor-agnostic, open-source, and scalable
  • Designed for AI observability and agent tracing use cases
  • Includes a modern UI to filter, query, and analyze spans
  • Ships with an OpenTelemetry collector backend for seamless ingestion

Trace Agent-to-Agent Interactions

Support complex use cases with complete AI tracing and observability

  • Trace requests as they move across multiple agents
  • Understand multi-agent orchestration, delegation, and task routing
  • Visualize handoffs, tool invocations, and final decisions in a unified view

Seamless Integrations for AI Observability

Easily connect your stack with prebuilt integrations, designed for modern AI tracing

Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.
White silhouette of a bird and molecular structure on dark green background in oval shape.
LangGraph
CrewAI logo with white and red text on a black background, featuring ai and crew.
CrewAI
White equals sign on a red background with rounded corners and white background edges visible.
Agno
OpenAI logo symbol
OpenAI
FastAPI framework logo
FastAPI
Blue and yellow geometric shapes on white background, abstract composition with squares and circle.
OpenTelemetry
Vibrant pink and red gradient neon-like geometric shape with symmetrical abstract design on white background.
PydanticAI
Haystack logo, an open source LLM framework
Haystack
Python logo with blue and yellow interconnected curved shapes on white background.
Python Code

Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure

HIPAA compliant and AICPA SOC certification badges for secure service organizations training.
  • Green circle with a white checkmark symbol inside, indicating confirmation or approval status icon.

    Compliance & Security

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection
  • Green circle with a white checkmark symbol inside, indicating confirmation or approval status icon.

    Governance & Access Control

    SSO + Role-Based Access Control (RBAC) & Audit Logging
  • Green circle with a white checkmark symbol inside, indicating confirmation or approval status icon.

    Enterprise Support & Reliability

    24/7 support with SLA-backed response SLAs
Deploy TrueFoundry in any environment

VPC, on-prem, air-gapped, or across multiple clouds.

No data leaves your domain. Enjoy complete sovereignty, isolation, and enterprise-grade compliance wherever TrueFoundry runs

Get Started
arrow1
Cloud deployment options including On-Prem, Multi-Cloud, Air-gapped, and AWS, Google Cloud Platform.

Frequently asked questions

What is AI observability and why is it important?

AI observability helps teams monitor, debug, and optimize AI systems by providing visibility into model behavior, workflows, and decisions. It's critical for reliable performance in production environments.

How does this enable agent observability?

Agent observability captures detailed traces of how agents operate—tracking LLM calls, tool usage, and decision logic—to provide a complete view of autonomous workflows.

What is agent tracing, and how does it work?

Agent tracing shows how a request flows through multiple agents, capturing interactions, decisions, and execution steps. This is key for debugging multi-agent systems and ensuring they behave as expected.

Does this support LangChain, LlamaIndex, or CrewAI?

Yes. It’s fully compatible with LangChain, LlamaIndex, CrewAI, and Agno—supporting agent observability across all major frameworks.

Can I use OpenTelemetry for AI observability here?

Absolutely. This system is built on OpenTelemetry and supports any compatible SDK. It
gives you vendor-neutral, scalable observability with rich AI-specific context.

How do I track token usage and model costs?

Every LLM span can include metadata such as model name, token count, temperature, and completion time—enabling cost and performance insights as part of your AI observability stack.

How is this different from traditional APM tools?

Traditional APM tools aren't built for LLMs or agents. This system is designed specifically for AI observability and agent tracing—giving you context-rich insights into model behavior and reasoning paths.
Grey wavy lines on white background, abstract wave pattern with multiple curved lines intersecting smoothly.

GenAI infra- simple, faster, cheaper

Trusted by 30+ enterprises and Fortune 500 companies

Try it now
Blank white background with no visible objects or text present.
Talk to Experts
Blank white background with no visible objects or text present.
Take a quick product tour
Start Product Tour
Product Tour