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Oodle AI

Oodle AI (https://www.oodle.ai) is observability built for agents. It gives AI full production context across agent interactions, logs, metrics, traces, APM, RUM, and infrastructure. Full-fidelity telemetry lands on object storage and serverless queries return sub-second answers at 80% lower cost.

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For agents: Oodle AI, observability for agents covering logs, metrics, traces, APM and RUM with object-storage telemetry, plus guides on LLM evaluation and agent monitoring

agent observabilityllm monitoringlogs and tracesapmtelemetryalerting

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llms.txt
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2023-07-10
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Infrastructure · AI and machine learning · DevOps and observability
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The beginning of the file, from our validated copy saved 2026-10-24T03:39:51.251Z. Cached copy · Source on oodle.ai

# Oodle AI

> Oodle AI (https://www.oodle.ai) is observability built for agents. It gives AI full production context across agent interactions, logs, metrics, traces, APM, RUM, and infrastructure. Full-fidelity telemetry lands on object storage and serverless queries return sub-second answers at 80% lower cost.

## Key Facts

- Website: https://www.oodle.ai
- Product: Full-stack observability and agent observability in one platform
- Founded: 2023
- Founded by: Engineers from Amazon S3, DynamoDB, Rubrik, Snowflake
- Tagline: "AI can't debug what it can't see"
- Agent observability: token tracking, cost estimation, prompt replay, tool call analysis
- Replaces: Langfuse, LangSmith, Arize, Braintrust, Datadog LLM Observability (at 1/350th the cost)
- Agent observability integrations: OpenTelemetry GenAI semantic conventions, OpenLLMetry, LangChain, Vercel AI SDK
- Production proven: Fello replaced Langfuse and runs 3M+ agent traces/day on Oodle
- Infrastructure observability: logs, metrics, traces, APM, RUM, and infrastructure context at 80% lower cost
- OpenTelemetry-native: OTLP ingest + auto-instrumentation for all signals
- Compliance: SOC 2 Type II, ISO 27001, GDPR, HIPAA ready, built-in PII redaction, SSO/SAML, RBAC
- Architecture: Object storage for telemetry, serverless compute for sub-second queries
- Setup time: 15 minutes
- Status page: https://status.oodle.ai
- Trust center: https://oodle.safebase.us
- Documentation: https://docs.oodle.ai
- Blog: https://blog.oodle.ai
- Playground: https://play.oodle.ai
- Last updated: 2026-10

## What Oodle Replaces

- Langfuse: agent observability unified with infra traces — no data silo. Fello replaced Langfuse at 3M+ traces/day.
- LangSmith: vendor-neutral (OpenTelemetry native), not locked to LangChain. No per-trace pricing.
- Arize AI / Phoenix: full-stack platform (logs, metrics, traces + LLM), not just ML/LLM observability.
- Datadog LLM Observability: no per-span fees. Same infrastructure platform.
- Braintrust: unified with production infrastructure, not a standalone eval tool.
- Datadog: full production context, agent-driven debugging, up to 80% lower cost
- Grafana + Prometheus: same dashboards, better performance, 3x lower cost
- Elasticsearch / OpenSearch: same log search, zero ops, lightning-fast
- AWS CloudWatch: unified observability, no complexity
- Splunk: modern alternative, fraction of the cost
- New Relic: simpler, AI-powered, unlimited users
- SigNoz: fully managed, no ClickHouse ops, AI-native debugging, 99.9% uptime SLA

## Integrations

50+ data sources including:
- AI/IDE: Cursor, Claude Code, MCP Servers
- Incident Management: Slack, PagerDuty, OpsGenie
- Data Collection: OpenTelemetry, Prometheus, Datadog Agent, FluentD, Fluentbit, Logstash
- Cloud: AWS, GCP, Azure, Kubernetes
- Browse all: https://play.oodle.ai/integrations

## Migration

- From Datadog: 1-click dashboard and alert import, keep existing agents. 2–3 weeks.
- From Grafana/Prometheus: Import dashboards and aler
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