Gaugetuple
Continuous LLM Evaluation & Monitoring
Replace tedious manual testing and subjective judgments. Gaugetuple automates continuous evaluation, alerting teams proactively about LLM regressions before deployment.
Why Gaugetuple
One size doesn’t fit all. Evaluating a chatbot, a multi-agent planner, or a document generator requires different evaluation logic, scoring criteria, and workflows. Gaugetuple embraces this reality with built-in customizability-so your evals can match your application.
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Automatic Evaluation Engine - Runs evaluations continuously, instantly identifying performance regressions.
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Custom Rubric Flexibility - Easily define and adapt scoring criteria specific to your business context.
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Proactive Alerting - Catch model drift or performance drops before they impact your users.
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Clear Visibility - Dashboards visualize performance, highlighting strengths and areas needing attention.
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Model Agnostic Integration - Evaluates OpenAI, Anthropic, Gemini, and any REST or gRPC-based LLM.
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Plug Into Existing Tools - Seamlessly connect to other eval frameworks, like OpenAI's eval API.
How It Works
Gaugetuple adapts to your application’s unique needs-whether you're building chatbots, document generators, or complex multi-agent systems. Each step in the workflow can be customized to match your evaluation logic and domain-specific criteria.
Define Metrics
Set your KPIs or use built-in metrics (BLEU, ROUGE).
Integrate Models
Connect Gaugetuple seamlessly with your LLM via provided adapters.
Run Evaluations
Schedule regular or triggered evaluations.
Act on Insights
Receive alerts, visual reports, and drill-down analysis to maintain high model quality.
System Integrations
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Evaluation Metrics: Custom Rubrics, Accuracy, Latency, completeness, etc
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LLM/AI Stack: OpenAI, Anthropic, Gemini, LLaMA
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Infra/DevOps: Docker, Helm, Terraform, Prometheus, Grafana, OpenTelemetry
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Security & Access: SSO, RBAC, Audit Logging, On-prem deployment
Deployment
Gaugetuple fits seamlessly into enterprise operations:
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Delivered as Docker Compose, Kubernetes-ready bundles
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Observability built-in with Prometheus and OpenTelemetry
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Helm and Terraform scripts available for easy setup
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Extensible via adapters and REST APIs
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Deployable on AWS, Azure, GCP, or On-Prem
Use Cases
AI Product Teams:
deployable on AWS, Azure, GCP, or on-prem
MLOps Engineers:
SSO, RBAC, encryption, audit logs
Executives:
Ships with Prometheus metrics and OpenTelemetry traces
Deployment
How It Compares
Manual, subjective testing vs. automated, objective evaluation dashboards. Gaugetuple clearly visualizes performance changes over time, making evaluation straightforward and proactive.
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