TensorZero
Open-source LLMOps platform with unified gateway, observability, evaluation, and optimization for production LLM applications.
How the 6.0 was reached
- Quality of output3/10
Repository is archived with last push June 2026 despite 11,715 stars; 392 open issues remain. github.com
- Ease of use7/10
Quick Start reportedly takes 5 minutes from OpenAI wrapper to production app; single independent source. producthunt.com
- Pricing value8/10
Apache-2.0 open source, free to use; users must bring their own LLM provider costs. github.com
- API and integration quality8/10
Unified API for any LLM with tool use, structured output, batch, embeddings and OpenTelemetry export; docs in repo. github.com
- Solves the problem it claims to solve4/10
Gateway and observability features exist, but the project is archived, so ongoing delivery of the platform is doubtful. github.com
6.0/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- Self-hosted deployment
- Full platform access
- Community support
- Managed hosting
- Enterprise support
- SLA guarantees
Key Features
- Unified LLM gateway with <1ms p99 latency
- Comprehensive observability and monitoring
- Automated evaluation and benchmarking
- Prompt and model optimization
- Built-in A/B testing and experimentation
Pros & Cons
Pros
- Fully open-source with commercial backing
- Comprehensive LLMOps feature set in one platform
- Production-ready with low latency performance
- Works with all major LLM providers
- Used by Fortune 10 companies
Cons
- Requires technical expertise to deploy and manage
- Self-hosted setup complexity for smaller teams
- Limited documentation for newer features
- May be overkill for simple LLM integrations
TensorZero suits engineers who want a free open source LLM gateway with a unified API and OpenTelemetry export. The repository is archived, though, so fixes and new features are doubtful and many open issues remain unresolved.
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