Ship AI agents your users can trust.
Agent Traces, Evals, Playground and Experiments — so you can ship your AI with confidence, not hope.
See the full picture — from prompt to database.
Your LLM call is just a span in a trace. It talks to your API, your database, your cache. Monitor it in the same place.
LLM + Traditional Observability, Unified
When a model call is slow, see if it's the prompt, the network, or a downstream database query - without switching tools.
OpenTelemetry Native
Built on open-source conventions for LLMs - use the OpenTelemetry instrumentation libraries you already have.
$1 per Million Spans
No sampling required - retain 100% of your traces with full prompt and response content at production scale. S3-native storage keeps costs low.
Tokens. Prompts. Tool calls. Covered.
Deep LLM insights extracted from your OpenTelemetry traces.
Observe Agent Transcripts for Deep Dives
Read the exact multi-turn conversation: system prompt, tool calls, multi-agent handovers. Input, output, and reasoning tokens broken down per span — spot runaway prompts and budget overruns before they hit your bill.
Evals for Your Agents
Configure eval pipelines for accuracy, relevance, and safety. Score every response automatically - use our out-of-the-box evals or write your own.
AI-powered Insights for your Agentic stack
Surface issues on Quality, Performance, Efficiency out-of-the-box - improve your agents from day 1
Refine Your Prompts with Playground
Iterate on prompts in a live playground. Swap models, tweak parameters, and compare outputs — without redeploying.
Regression Checks for Your Agents - Datasets & Experiments
Build eval datasets from production traces or CSV imports. Run experiments against any model and compare results side-by-side.
Cost Estimation with Configurable Pricing
Estimated cost per trace, per model, per service. 50+ model pricing definitions shipped by default - OpenAI, Anthropic, Google, Mistral, Cohere, and more. Add custom or fine-tuned models in the UI.
Surface issues before users notice.
Insights automatically detect silent failures across your agent traces — no rules to configure.
High Duration
Traces taking significantly longer than baseline. Catches stuck loops, slow tool calls, and retry storms.
Error Recovery Failures
Agents that hit errors and fail to recover gracefully. Incomplete tool call chains, unhandled exceptions mid-conversation.
Low User Satisfaction
Responses flagged by sentiment and quality scoring as negative or off-topic. Identifies patterns in poor experiences.
Excessive LLM Turns
Conversations that spiral into too many turns. Detects prompt loops, circular reasoning, and agents that can't converge.
How It Works
Three steps from zero to full LLM visibility.
Instrument with OTel GenAI Conventions
Use any OpenTelemetry-compatible instrumentation library that emits Generative AI semantic conventions - LangChain, Vercel AI SDK, OpenLLMetry, or roll your own.
Send Traces to Oodle
Point your OTLP exporter at your Oodle instance. Same endpoint you already use for backend traces - one config line, no new collector.
See LLM Data Alongside Everything Else
Oodle automatically extracts tokens, cost, transcripts, and quality scores from your GenAI spans. No configuration - it just works.
$1 per Million Spans
$0.30/GB ingestion. Retain 100% of your traces at production scale.
See It In Your Environment
Start sending traces in under 15 minutes. Free tier included — no credit card required.
Frequently Asked Questions