Warehouse your LLM logs.
Store your LLM requests, responses, and parameters. Analyze, optimize, and fine-tune your AI features.
Optimize your AI features
Implement a trusted evaluation loop
Warehouse LLM logs
Store your requests, responses, and parameters to Postgres.
Analyze data
Natively query costs, performance, features, endpoints, and models.
Forward logs
Send raw LLM logs to any platform your team wants to use.
Automate evaluations
Experiment with prompts, RAG, and models to optimize responses.
Scale infrastructure
Automatic scaling, rate limiting, caching, and error handling.
Fine-tune models
Use your data to fine-tune your own model when you're ready.
Log every LLM request & response
Capture every raw LLM log at scale. Use data to evaluate performance, trace problems, optimize cost, and fine-tune your own models.
Warehouse logs to your database
Store LLM requests, responses, and parameters to your own PostgreSQL instance. Get a queryable table to analyze and optimize over time.
Use data to optimize your AI features
Unlock an evaluation loop to build consistent and trustworthy features. Resolve issues, evaluate models, and train AI specific to your system.
Q & A
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