Confident AI
DeepEval-powered LLM evaluation platform to test, benchmark, and safeguard apps
Agenta
Accelerate production LLM apps with integrated prompt, evaluation, observability
Agenta enables engineering and product teams to build reliable LLM applications faster through collaborative prompt management, systematic evaluation, and real‑time observability, supporting 50+ models and custom integrations.
Overview
Overview
Agenta is a unified platform that helps engineering and product teams turn LLM ideas into production‑grade services. By combining prompt engineering, systematic evaluation, and real‑time observability, it reduces the time spent on trial‑and‑error and gives teams confidence that their models behave reliably in the wild.
Core capabilities
The prompt workspace lets SMEs collaborate on versioned prompts, compare multiple LLMs side‑by‑side, and store configurations in branches. Evaluation supports flexible test sets, over twenty pre‑built LLM‑as‑judge metrics, and custom evaluators that can be run through the UI or API, while human feedback can be captured and fed back into the loop. Observability dashboards surface cost, latency, and usage trends; OpenTelemetry‑compatible traces let you debug complex workflows and integrate with existing monitoring stacks.
Deployment options
You can start instantly with Agenta Cloud, which offers a free tier without a credit card, or self‑host the OSS stack using a single Docker‑Compose command on any server. Comprehensive documentation, Slack community, and contribution guides make it easy to adopt and extend the platform.
Highlights
Interactive prompt playground with versioned branching for SME collaboration
Built‑in evaluation framework offering 20+ LLM‑as‑judge evaluators and custom test sets
Real‑time observability of cost, latency, and traces via OpenTelemetry standards
One‑click cloud start and Docker‑compose self‑hosting for flexible deployment
Pros
- Accelerates LLM app development with an integrated toolchain
- Supports a wide model ecosystem (50+ providers and BYO models)
- Catered UI and API workflows for both engineers and SMEs
- Open standards for tracing and monitoring enable easy integration
Considerations
- Self‑hosting requires Docker and environment configuration
- Free cloud tier may have usage limits
- Advanced features can present a learning curve for non‑technical SMEs
- Custom evaluator development requires programming effort
Managed products teams compare with
When teams consider Agenta, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Fit guide
Great for
- Product teams needing rapid prototyping and prompt iteration
- Engineering groups building production‑grade LLM services
- Organizations requiring systematic evaluation and compliance tracking
- Teams that want unified observability across multiple LLM providers
Not ideal when
- One‑off scripts or experiments without need for version control
- Environments lacking Docker or container support
- Users seeking a pure API library without UI components
- Projects with strict on‑premise security policies that cannot expose external services
How teams use it
Customer support chatbot refinement
SMEs iteratively improve prompts, run evaluations against real tickets, and monitor latency to ensure SLA compliance.
Financial report summarization
Engineers version prompts, benchmark with custom evaluators, and track cost per summary to stay within budget.
Multi‑model A/B testing
Compare responses from 10+ LLMs side‑by‑side, capture human feedback, and select the best model for production.
Regulatory compliance monitoring
Trace every inference, log usage metrics, and generate audit reports using OpenTelemetry integration.
Tech snapshot
Python52%
TypeScript47%
CSS1%
Shell1%
Jupyter Notebook1%
HCL1%
Frequently asked questions
Do I need to run my own infrastructure?
Agenta offers a hosted cloud tier with a free plan, and you can also self‑host via Docker Compose on any server.
How many models are supported?
Out of the box you can connect to 50+ LLM providers, and you can add any model through the bring‑your‑own interface.
Can I evaluate prompts with human feedback?
Yes, the platform lets you collect expert annotations and combine them with automated LLM‑as‑judge evaluators.
Is tracing compatible with existing observability stacks?
Agenta emits OpenTelemetry‑compatible traces, so you can forward them to OpenLLMetry, OpenInference, or any OTEL collector.
Project at a glance
Active- Stars
- 3,775
- Watchers
- 3,775
- Forks
- 459
Repo age2 years old
Last commit48 minutes ago
Primary languageTypeScript
Last synced 48 minutes ago