Agenta
AIOpen-source LLMOps platform for prompt management, evaluation, debugging, and observability of production LLM applications.
-(0 Reviews)
Free Available
Starting from Free
Agenta
AI
Open-source LLMOps platform for prompt management, evaluation, debugging, and observability of production LLM applications.
-(0 Reviews)
Free Available
Starting from Free
About Agenta
Agenta is an open-source LLMOps platform that helps engineering and product teams build, evaluate, debug, and monitor production-grade LLM applications. It provides a web UI and toolset for prompt engineering, versioning, deployment to environments, automated evaluation pipelines, and observability dashboards to track model behavior and performance. By combining prompt management, testing, and runtime monitoring in a single platform, Agenta reduces iteration time, improves reliability, and enables teams to adopt best practices for building robust LLM apps.
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Key Features
Prompt Management: Web UI and tooling to create, edit, version, and organize prompts and prompt components, enabling reproducible prompt engineering workflows.
Evaluation Pipelines: Automated evaluation workflows to run tests, benchmarks, and metrics across prompts and model configurations for quantitative comparison.
Debugging Tools: Interactive debugging capabilities to inspect model inputs/outputs, trace failures, and iterate on prompt logic and control flows.
Observability Dashboards: Runtime dashboards and logs to monitor model responses, latency, error rates, and behavioral metrics in deployed environments.
Environment Deployment: Ability to deploy prompts and configurations to multiple environments (e.g., staging, production) for safe rollout and testing.
Integrations & Extensibility: Open-source extensible architecture that integrates with external LLM providers and allows customization and plugin of evaluation or monitoring components.
Prompt engineering and management
Automated evaluation and benchmarks
Debugging tools for LLM apps
Observability and monitoring for agents
Cloud-hosted and self-hosted deployment options
Team management and enterprise support (SSO)
Prompt creation and management via web UI
Prompt versioning and deployment to environments
Evaluation workflows for testing and benchmarking prompts
Observability and monitoring of LLM application behavior
Debugging tools for analyzing model outputs and failures
Support for full LLM development lifecycle (design, test, deploy, monitor)
Self-hostable open-source codebase (GitHub repository available)
Collaboration features for engineering and product teams
Use Cases
Prompt Iteration: Rapidly prototype and version prompts in the web UI, run evaluations, and promote stable prompts from staging to production.
A/B Prompt Testing: Compare different prompt variants with automated evaluation pipelines to select the best-performing prompt for production.
Production Monitoring: Monitor deployed prompts for drift, latency spikes, and degradation in output quality using observability dashboards and alerts.
Regression Testing: Create test suites that run across model updates to detect regressions in expected behavior before deployment.
Debugging Model Failures: Inspect individual request/response traces to identify why a model produced an incorrect or unsafe output and iterate on prompt fixes.
Team Collaboration: Coordinate engineering and product teams around shared prompt repositories, evaluations, and deployment workflows to maintain reliability.
Developing and iterating reliable LLM-powered applications
Monitoring and debugging production LLM agents
Running evaluations and comparisons of prompt variants
Onboarding teams to LLMOps workflows with team/SSO support
Designing and iterating prompts for production LLM apps
Evaluating and benchmarking model outputs across prompts and models
Monitoring LLM application behavior and performance in production
Debugging unexpected or incorrect model responses
Versioning and deploying prompt configurations to staged environments
Enabling cross-functional teams to collaborate on LLM application development
