Agent Cascade Fault & Bottleneck Profiler

Pipeline DAG & Real-Time Failure Propagation READY • 100 PASSES

Compound Success

60.4%

p95 Latency

6,280 ms

Token Multiplier

3.4x

Amplification

2.3x

Cascade Root Cause Diagnosis

CRITICAL BOTTLENECK action_executor

Unconstrained JSON Schema parameters in Action Executor leading to retry thrashing under schema drift from Knowledge Retriever. Responsible for 63.2% of pipeline failure states.

PRESCRIBED MITIGATIONS

• Insert deterministic Pydantic/Zod validator between Retriever and Executor
• Implement Circuit Breaker after 2 consecutive parameter mismatches
• Cache retriever vector embeddings to prevent duplicate token blowup on retry

Action Executor (Tool Call) EXECUTOR

Base Reliability (78%):

Base Latency (ms):

Tokens Per Call:

Primary Failure Mode:

Max Retries:

Circuit Breaker & Fallback:

Strict Zod/Pydantic Contract:

💡 Modifying node parameters or enabling strict contracts updates pipeline resilience immediately upon simulation.

Cascading Agent Bottleneck Profiler

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Read the explanation

In a multi-agent LLM pipeline, a single failure cascades downstream. The simulated workflow routes requests across sequential agents until an unhandled bottleneck halts the entire pipeline. When an agent fails, repeated retry attempts compound latency and token consumption. In this customer support preset, backoff retries cause cumulative tokens to swell past three times baseline. Enabling a circuit breaker halts runaway retries at attempt two, clamping token blowup and routing requests safely to fallback logic.