Oodle AI
Oodle AI provides agent observability with fast trace search, S3-based storage, and out-of-the-box insights to detect silent failures in AI agents.
Oodle AI
What is Oodle AI?
Oodle AI vs Similar AI Tools
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How to use Oodle AI?
- 1Instrument your LLM calls with OpenTelemetry.
- 2Point your OTLP exporter to Oodle.
- 3View traces in the Oodle dashboard.
- 4Use built-in insights to detect issues.
Oodle AI Key Features
- Fast search over traces with <1s P99 query time
- S3-based storage at $10 per million spans
- 100% trace retention without sampling
- Out-of-the-box insights for agent failures (e.g., error recovery, high duration, low satisfaction)
- Evals for accuracy, relevance, and safety
- Prompt playground for iterative refinement
- Cost estimation per trace, model, and service
Oodle AI Use Cases
- Debugging AI agents in production
- Monitoring agent failures like silent errors and tool call issues
- Optimizing token usage and LLM costs
- Running automated evals on agent performance
Oodle AI Pricing & Free Credits
Oodle AI currently operates on a Free, Paid model.
This tool is completely free to use
Oodle AI Pros & Cons
Pros
- Fast query performance for large trace volumes
- Cost-effective S3-based storage for long retention
- No sampling, retaining all traces with full content
- Built-in insights and evals for agent quality
Cons
- Requires OpenTelemetry setup for instrumentation
- Newer product compared to established observability platforms
What is Oodle AI best for?
- Engineering teams running AI agents in production
- LLMOps teams needing comprehensive observability
Oodle AI FAQ
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