Fiddler Enterprise Agentic Observability

Fiddler delivers enterprise-grade, end-to-end observability for agentic AI. It enables organizations to build reliable, cost-effective agents with a continuous feedback loop across the lifecycle from evaluation and monitoring to analytics.
It gives AI and engineering teams visibility, context, and control across autonomous and reflective multi-agent systems. Teams can see every layer of the agentic hierarchy (application, session, agent, trace, and span) with aggregate rollups and granular insights on reasoning and decision paths, tool calls, and token usage, without sifting through millions of logs
Fiddler Trust Service: The Foundation of Agentic Observability
Native, not Additive · No external calls · Enterprise secure
Fiddler Agentic Observability is powered by the Fiddler Trust Service, with purpose-built, secure, cost-effective Trust Models that run entirely in your environment. These Trust Models score agent and LLM inputs and outputs, enabling real-time monitoring without the need for external API calls, so there are no add-on fees or hidden costs.

Complete Visibility, Context, and Control
- Deliver High Performance AI: Build, test, monitor, and improve to deliver contextually-aware agentic systems. Gain insights from system-wide health to span-level metrics.
- Protect From Costly Risks: Ensure safe operations at scale by detecting harmful exposure. Prevent costly brand and reputational risks.
- Maximize ROI: Measure accuracy and cost side-by-side by testing and tuning models and configurations to achieve the best performance per token.

Key Enterprise Capabilities for the Agentic Observability Lifecycle
Evaluation
Build cost-effective, reliable agents by evaluating in pre-production to improve performance early and reduce post-launch risks.
- Evaluate agents with golden and challenger datasets to improve performance and behavior.
- Run experiments with different prompts and responses and compare side-by-side to reach better outcomes.
- Stress-test edge-cases to surface weaknesses and points of failure modes early.
Monitoring
Gain real-time monitoring insights in a single-pane command center.
- Get visibility across the agentic hierarchy: application → session → agent → trace → span to see what happens in any interaction.
- See aggregate-to-granular insights in customizable dashboards and reports.
- Monitor key metrics including hallucination, toxicity, PII/PHI, jailbreak, and custom KPIs.
- Trace reasoning chains, tool calls, and decision paths across sessions.
Analytics
Understand why issues happen, then close the loop from production to development to continuously improve agents.
- Diagnose issues at every level of the agentic hierarchy all the way to pinpointing the failing span, reducing MTTI and MTTR.
- Use filters, sorting, and span attributes to expose bottlenecks and critical issues across tools, chains, agents, and LLMs.
- Perform root cause analysis to identify errors and visualize the exact breakdown of issues that affected agent performance.
OTel-Compatible and Framework-Agnostic
Fiddler integrates natively with OpenTelemetry (OTel) to preserve your existing AI stack. OTel unifies data and custom attributes across systems so Fiddler can deliver deep visibility into agent performance and behavior without changing your pipeline.
Compatible with:
- OpenTelemetry (OTel)
- LangGraph
- Amazon Bedrock
- AWS Strands Agents
- Google ADK
- Custom agents and toolchains