{"best_for":["Software Companies","Tech Startups","Enterprise AI teams","AI Engineers","Product Managers"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/agenta","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/agenta.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-001.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: Agenta (https://aitoolsforbusiness.ai/agenta)"},"features":["Prompt Playground: An environment to experiment with prompts, compare different models side-by-side, and test changes using real data.","Prompt Version Control: Tracks changes to prompts and maintains a version history to support deployments to production.","Automated Evaluation: Supports systematic testing of prompts using LLM-as-a-judge or custom code evaluators to validate performance.","Human Annotation: Allows subject matter experts to review LLM outputs and provide feedback within the UI.","Observability and Tracing: Captures production requests and traces to help teams identify failure points and detect regressions.","Self-Hosted Deployment: Available as an MIT licensed open-source project that can be hosted on the user's own infrastructure."],"freshness_status":"fresh","name":"Agenta","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website. The platform is open-source and MIT licensed for self-hosting.","pricing_url":"https://agenta.ai/pricing","primary_category":"Software Development","profile_last_verified":"2026-06-04T03:03:41.072Z","secondary_categories":[],"short_description":"Agenta is an open-source LLMOps platform providing tools for prompt engineering, evaluation, and observability for LLM applications.","slug":"agenta","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/agenta","use_cases":["Collaborative Prompt Engineering: Allowing product managers and domain experts to iterate on prompts in a UI without touching the source code.","Systematic Prompt Evaluation: Running automated tests and human reviews to validate that prompt changes do not break existing use cases.","Production Debugging: Using traces from production applications to find edge cases and convert them into test sets for further iteration.","Model Comparison: Testing the same prompt across different model providers to determine the most effective model for a specific task."],"website_url":"https://agenta.ai/"}