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Agent & LLM Tracing

See every step.
Debug the one that failed.

Follow every prompt, model call, retrieval step, tool invocation in one connected trace. Find the failed step without piecing together logs.

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Solution Brief

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Full-fidelity tracing for production agents.

Six connected views show what ran, where it failed, and what changed.

End-to-end execution tracing

Capture the full path of every request from orchestration and retrieval through model calls, guardrail checks, tools, and the final response, as one connected trace.

Agent-native trace hierarchy

Preserve parent-child relationships across conversations, requests, spans, subagents, handoffs, retrieval, and tools without flattening multistep runs.

Tool-call visibility

Record every tool’s name, inputs, outputs, status, latency, and retries. Surface misuse and dependency failures before they reach users.

Step-by-step run debugging

Inspect real inputs and outputs at each step. Compare failed and successful runs to isolate root cause instead of inferring it from aggregate metrics.

Token, cost, latency, and error context

Attribute usage and performance to each request, model, and prompt version. Catch inefficient calls before they become budget or reliability issues.

Search and compare across versions

Filter by project, model, prompt version, environment, and status. Verify that a change improved behavior without quietly breaking another path.

How it works

From instrumentation to root cause in four steps.

Instrument

Use lightweight SDKs, native framework integrations, without changing your infrastructure.

pip install acceldata-sdk

Capture

Generate a complete trace for every request across prompts, models, retrieval, guardrails, tools, and outputs.

req

trace

span

log

Investigate

Search and filter connected timelines, then inspect the inputs, outputs, latency, cost, and errors at each step.

Fix and verify

Compare failed runs with successful traces and prior versions, validate the change, and ship with confidence.

Error: timeout at step 3

No proprietary format. No lock-in.

Acceldata ingests traces over OpenTelemetry and OTLP — the same telemetry pipeline you already use.

OpenTelemetry and OTLP
Native OTEL ingestion — same pipeline you use today. No new agents, no new agents.

Framework integrations out of the box
LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, CrewAI, AutoGen, ADK — native or SDK.

Cross-platform ingestion 
OTLP ingestion across cloud, on-prem, and hybrid environments — no per-platform rewrites.

Why Acceldata AI Observability

Observe the agent on the same platform that already watches your data quality, pipelines, and lineage.

Prompt & Evaluation Management

Version prompts, compare models, run offline regressions, and apply the same evaluators to production traffic.

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AI Guardrails & Governance

Detect sensitive data, apply policy checks, control access and retention, and preserve audit-ready evidence.

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Production Monitoring & Dataset Flywheel

Track quality, safety, cost, and latency in production. Promote weak traces into reusable evaluation datasets.

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Dominate with Data

40%

reduction in pipeline
downtime

30%

faster time-to-model
deployment

25%

lower cluster costs

99.9%

SLA adherence on
migrated workloads

Ready to get started

Explore all the ways to experience Acceldata for yourself.

Expert-led Demos

Get a technical demo with live Q&A from a skilled professional.

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30-Day Free Trial

Experience the power of Data Observability firsthand.

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Meet with Us

Let our experts help you achieve your data observability goals.

Products

See every step. Debug the one that failed.

Full-fidelity tracing for production agents.

From instrumentation to root cause in four steps.

No proprietary format. No lock-in.

Why Acceldata AI Observability

Dominate with Data

Ready to get started

Expert-led Demos

30-Day Free Trial

Meet with Us

See every step.
Debug the one that failed.

No proprietary format. No lock-in.