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Documentation Index

Fetch the complete documentation index at: https://handbook.fiddler.ai/llms.txt

Use this file to discover all available pages before exploring further.

Overview of Fiddler connecting traditional ML, LLM applications, and agentic systems to evaluation, monitoring, and guardrails. Choose the workflow that matches what you are building:
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Onboard your GenAI application

Send traces, prompts, responses, and feedback to Fiddler.
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Agentic Observability

Trace multi-step agents, tool calls, and workflow outcomes.
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Experiments

Compare prompts, models, and evaluators before release.
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Guardrails

Detect policy violations and protect AI application behavior.
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LLM Monitoring

Monitor quality, latency, cost, and safety in production.
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ML Observability

Track drift, data quality, and model performance over time.

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How Fiddler fits into your AI stack

1

Connect your application or model

Send production events, traces, prompts, responses, features, or predictions.
2

Evaluate and monitor behavior

Track quality, safety, performance, drift, and operational signals.
3

Act with confidence

Investigate issues, tune evaluations, configure guardrails, and share insights.

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Explore Fiddler platform features

Evaluate & Test

Validate model and application behavior before and after deployment.

Observe & Monitor

Monitor production AI systems across quality, drift, performance, and cost.

Protect & Guardrails

Detect risky behavior and enforce AI safety policies.