See the why behind every agent action.

WhyOps makes agent decisions legible, replayable, and fixable. Stop guessing, start shipping reliable autonomy.

See How It Works
All Framework Fits your stack All LLM Any model provider All Tool Any tool or API
whyops_weather_agent.ts
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import OpenAI from "openai"
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import { wrapTool } from "@whyops/ts"
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// wrap your tool once to track calls, retries & failures
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const getWeather = wrapTool("getWeather", async (city: string) => {
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return fetch(`https://api.weather.com/${city}`).then(r => r.json())
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})
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const client = new OpenAI({
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apiKey: process.env.YOPS_KEY, // your WhyOps key
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baseURL: "https://proxy.whyops.com/api/openai" // route LLM traffic through WhyOps
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})
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await client.chat.completions.create({
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model: "gpt-4o",
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messages: [
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{ role: "system", content: "You are a weather agent." },
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{ role: "user", content: "What's the weather in NYC?" }
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],
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tools: [getWeather.schema], // WhyOps auto links tool execution to this call
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})

The Core Challenge

AI agents fail in production for reasons you can't see. Teams lack visibility into agent decision-making, so debugging becomes guesswork.

Why teams get stuck

Context drift

Context drift

Agents lose the thread mid-run. Prompts look fine, but decisions quietly change.

  • ✖ Quality drops without warning
  • ✖ Hard to spot in real time
Unreproducible failures

Unreproducible failures

"Works on my machine" doesn’t apply. Real data and timing make failures hard to reproduce.

  • ✖ Hours spent reproducing bugs
  • ✖ Fixes ship with low confidence
Decision opacity

Decision opacity

You can see outputs, but not why the agent chose a tool, ignored an instruction, or stopped early.

  • ✖ Trial-and-error prompting
  • ✖ No safe iteration loop

The cost

Invisible failures slow teams down

Every hour spent guessing is an hour not shipping. WhyOps turns uncertainty into clarity so teams can move fast with confidence.

Days
Lost to debugging opaque behavior
Weeks
To diagnose production-only failures
Months
To earn trust in autonomous systems

// PRODUCTION_INCIDENT_LOG

[CRITICAL] Agent stalled mid-run. No reason recorded.
[WARN] Context trimmed. Decision changed unexpectedly.
[FAIL] Tool error sanitized. Root cause lost.
Run ended early. No state snapshot.

Where WhyOps fits

LangSmith

Great traces, limited agent reasoning.

Langfuse

Solid monitoring, shallow decision context.

Helicone

Strong metrics, limited debugging depth.

AgentOps

Basic monitoring, no replayable state.

The missing link: decision context

Others show what happened. WhyOps shows why it happened.

Capability LangSmith Langfuse WhyOps
Decision context (why) ❌ ❌ ✅ Clear decision paths
State tracking ❌ ❌ ✅ Full run history
Production replay ❌ ❌ ✅ One-click reproduction
Context drift ❌ ❌ ✅ Visible in the UI
Multi-agent graph ❌ ❌ ✅ Causality chains

The debugging copilot for agents

Replay any run, inspect the decision trail, and share the exact state with your team.

Decision-aware state

Decision-aware state

Capture the state right before each decision so you can see what the agent saw.

Decision reasoning

Decision reasoning

Understand why a tool was chosen, why a step was skipped, and where the run veered off.

Production replay

Production replay

Recreate production failures in dev with the exact context that caused the issue.

Multi-agent graph

Multi-agent graph

See handoffs, dependencies, and where failures cascade across agents.

From failure to fix, fast

INCIDENT DETECTED

1. An agent fails in production

WHYOPS INSIGHT

2. WhyOps reveals the missing decision context

Suggestion: tighten the instruction that was skipped.
RESOLUTION

3. Fix applied → replay verified → shipped

Visual Decision Debugger

Inspect every decision as clearly as a code trace.

STATE INSPECTOR
▼ Execution Context
▶ System Prompt
▶ History (3.5k)
▶ Retrieved Docs (Truncated)
▼ Memory
user_id: "u_123"
task: "research"
Parse Intent
Retrieve Context
Tool Selection
Tool A (DB)
Tool B (Web)
Format Output

Interactive state diff

Compare state before/after any decision and pinpoint the change that mattered.

Constraint tracker

Track instructions and see the exact step where they were dropped.

Guided fixes

Turn failure patterns into clear, actionable fixes your team can apply.