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OpenLIT
What it is
OpenLIT is an open-source platform for tracing, evaluating, and managing large language model applications, with cost tracking built on OpenTelemetry. Its tracing can capture model calls, tools, and retrievals, with filters for user, session, cost, latency, and metadata. Evaluations can use an LLM judge, heuristics, or human review on live traffic or experiments. Prompt Hub provides versioning, dynamic variables, API retrieval, unlimited fetching, and AI-assisted improvement. OpenGround compares models for latency, tokens, and cost, including comparisons using a user's own key. For coding agents, monitoring covers sessions, costs, tokens, repository activity, and code impact. The project lists 56+ integrations across LLMs, agent frameworks, vector databases, and GPUs. It can be self-hosted with Docker Compose or Kubernetes Helm and accepts OTLP data. The Apache 2.0 project says self-hosting keeps prompts, traces, and secrets in the user's environment. The OSS plan is free and lists unlimited self-hosted usage, users, projects, and environments; a hosted Cloud plan is marked as coming soon.
For and against
For
- Traces model calls, tools, and retrievals.
- Evaluations support judge, heuristic, or human review.
- Prompt Hub offers versioning and API retrieval.
- Self-hosted OSS plan lists unlimited usage and users.
- Lists 56+ integrations.
Against
- Hosted Cloud plan is coming soon.
- OSS support is community-based on GitHub.
The verdict
OpenLIT brings tracing, evaluation, prompt management, and cost tracking together in an open-source platform. Its OSS plan supports self-hosting, while the hosted Cloud option has not launched.
Who it suits
OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs. Its self-hosted option may suit teams that want prompts, traces, and secrets kept in their environment.
Plans and prices
OSS
Unlimited self-hosted usage · unlimited users · unlimited projects/environments · community GitHub support
Read 14 Oct 2026 · openlit.io
Cloud
Fully hosted service · managed infrastructure and upgrades · pricing shared at launch · waitlist only
Read 14 Oct 2026 · openlit.io
On the record
- Agent observability
- The platform records LLM calls, tool calls and agent steps for production analysis.openlit.io · read 14 Oct 2026
- Coding-agent monitoring
- OpenLIT tracks coding-agent sessions, costs, tokens and repository activity.openlit.io · read 14 Oct 2026
- Company background
- OpenLIT says the project is community-driven, built in public on GitHub, and used by developers worldwide.openlit.io · read 29 Sep 2026
- Company founder
- Crunchbase identifies Aman Agarwal as a founder.crunchbase.com · read 14 Oct 2026
- Company headquarters
- Crunchbase places OpenLIT in New Delhi, Delhi, India.crunchbase.com · read 14 Oct 2026
- Company legal name
- Crunchbase lists the legal name as OpenLIT and operating status as active.crunchbase.com · read 14 Oct 2026
- Company size
- Crunchbase lists the company size as 1–10 employees.crunchbase.com · read 14 Oct 2026
- Company type
- Crunchbase classifies OpenLIT as a private non-profit company.crunchbase.com · read 14 Oct 2026
- Custom dashboards
- Dashboards are backed by ClickHouse and support charts, tables, filters, folders, import and export.openlit.io · read 14 Oct 2026
- Deployment
- The platform can be self-hosted using Docker Compose or Kubernetes Helm and accepts OpenTelemetry data through OTLP.openlit.io · read 29 Sep 2026
- Documentation depth
- The documentation includes provider-specific SDK guides, observability pages, controller deployment material, CLI configuration and an indexed documentation file.docs.openlit.io · read 14 Oct 2026
- Evaluations
- OpenLIT includes built-in evaluations, programmatic evaluations and LLM-as-a-judge workflows that can run locally or in CI.openlit.io · read 14 Oct 2026
- Funding disclosure
- The reviewed Crunchbase profile does not show a funding total or disclosed funding rounds for OpenLIT.crunchbase.com · read 14 Oct 2026
- Go SDK capability
- The Go SDK wraps provider clients and emits traces and metrics for standard and streaming calls, embeddings and image generation.docs.openlit.io · read 14 Oct 2026
- GPU monitoring
- The GPU collector and dashboards expose utilization, memory, temperature and power metrics.openlit.io · read 14 Oct 2026
- Guardrails
- The SDK includes guards for prompt injection, jailbreak and sensitive-topic detection using LLM and regular-expression checks.openlit.io · read 14 Oct 2026
- Integration examples
- Documented integrations include OpenAI, Anthropic, Cohere, Mistral, Ollama, Bedrock, Vertex AI, LangChain, LlamaIndex, Pinecone, Chroma, Qdrant and Milvus.openlit.io · read 14 Oct 2026
- Integrations
- The home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs.openlit.io · read 14 Oct 2026
