Meta AI enhances machine learning, NLP, and computer vision capabilities.
OpenObserve
$0.50/GBStarting price
0Popularity
About OpenObserve
OpenObserve provides a single platform for monitoring AI agents and large language model (LLM) traffic alongside traditional observability data such as logs, metrics, and traces. It instruments agentic applications through OpenTelemetry, capturing detailed spans for every model request, tool call, and sub-agent interaction. The system traces token usage, latency, and cost per call across multiple frameworks and model providers including OpenAI, Anthropic, LangChain, and Hugging Face. Users can evaluate model quality on live traffic using built-in or custom LLM-as-judge scorers, with thresholds and dashboards updated in real time. The platform supports federated search across regions and clouds while maintaining data residency controls, and can be deployed as a managed cloud service, self-hosted binary, or with a customer’s own object storage. All data is stored in columnar Parquet format and billed per gigabyte ingested and queried, with retention included in the base price.
Key features
- Agentic application tracing with distributed spans
- Token usage, latency, and cost accounting per call
- Real-time quality evaluation using LLM-as-judge
- Federated search across multi-cloud and on-prem deployments
- Session replay for debugging agent conversations
- Health visualization with error-rate coloring
- Versioned score configurations for quality thresholds
- Sensitive data redaction and audit trails
Use cases
- Monitoring production AI agents for performance and cost optimization
- Debugging complex agent workflows across tools and models
- Continuous evaluation of LLM outputs in live traffic
Pros
- Unified platform for AI observability and traditional telemetry
- OpenTelemetry-native instrumentation across multiple frameworks and providers
- Pricing based on data volume rather than per-span or per-host
- Supports federated search across regions and clouds
- Built-in quality scoring and evaluation on live traffic
Cons
- No free tier beyond a 14-day trial
- Requires OpenTelemetry instrumentation to capture AI spans
- Limited to Rust-based columnar storage architecture
OpenObserve videos
Frequently asked questions about OpenObserve
What is OpenObserve and what does it do?
OpenObserve is a unified observability platform designed to monitor AI agents and large language model (LLM) traffic alongside traditional observability data such as logs, metrics, and traces. It instruments agentic applications through OpenTelemetry, capturing detailed spans for every model request, tool call, and sub-agent interaction.
Who should use OpenObserve?
OpenObserve is suitable for teams and organizations running AI agents or LLM-based applications who need comprehensive observability across their entire stack, including AI-specific metrics like token usage, latency, and cost per call.
How does OpenObserve handle pricing?
OpenObserve bills users per gigabyte ingested and queried, rather than per span, making it cost-effective for high-volume agentic applications. Retention is included in the base price.
What integrations does OpenObserve support?
OpenObserve supports a wide range of frameworks and model providers through OpenTelemetry, including OpenAI, Anthropic, LangChain, Hugging Face, Google Gemini, Amazon Bedrock, Mistral, Ollama, DeepSeek, Cohere, Groq, Fireworks AI, xAI, and more.
Can OpenObserve be deployed in different environments?
Yes, OpenObserve can be deployed as a managed cloud service, a self-hosted binary, or with a customer’s own object storage. It supports federated search across regions and clouds while maintaining data residency controls.
How do I get started with OpenObserve?
Users can start by downloading the platform, accessing the documentation, or signing up for a demo. OpenObserve provides a free tier and offers managed cloud or self-hosted deployment options.
