Full Lifecycle LLM Observability with TruEra
Comprehensively test, debug and monitor LLM apps from development to production
Building LLM Apps is easy.
Making them reliable can be a lot harder.
Collect human and automated feedback in one place
Build tests early into the app’s lifecycle
Efficiently debug retrieval augmented generation (RAG) and agent apps
Comprehensive LLM observability
Make sure your LLMs are aligned
Wide range of LLM Apps
Evaluate a wide range of LLM apps including retrieval augmented generation (RAGs) and agents. These can be built on langchain, llama index or other custom frameworks.
Apps
- Retrieval-augmented generation
- Query planning
- Data agents
- Streaming
- Summarization
- Marketing/sales copy
- Tuning experiments
Built with
- Langchain
- LlamaIndex
- Custom frameworks
Wide Range of of Evaluations
With TruEra feedback functions, you can measure a wide range of automated, human and traditional metrics on your LLMs. You can also track your own metrics at scale.
Evaluate
- Relevance
- Groundedness
- Custom evaluations
- Prompt sentiment
- Language mismatch
- Transcript length
- Response verbosity
- Fairness substitution
- Toxicity
- … + Manual feedback
Comparisons and A/B testing
Compare multiple approaches at the same time to understand tradeoffs between cost, latency and performance.
Reporting and Monitoring
Over time, model performance can change due to changes in the underlying model performance and data drift.
