Connect Agenta with 12+ popular tools and services. Streamline your enterprise agents workflow with powerful integrations.
Navigate to the integrations or connections section in Agenta
Select from 12+ available integrations listed above
Follow the OAuth flow or API key setup for your chosen service
Test integrations with non-critical data first
Set up proper error handling and monitoring
Review permissions and data access carefully
Keep API keys secure and rotate them regularly
Document your integration setup for team members
Connect Agenta with Zapier, Make, or API webhooks to automate repetitive tasks and trigger actions.
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How do Agenta's 12 integrations compare with similar tools?
open-source LLM engineering platform for traces, prompt management, evaluations, datasets, and production observability.
View Integrations →Experiment tracking and model evaluation used in agent development.
View Integrations →an open-source AI gateway and LLM observability platform for routing, debugging, analyzing, and improving AI applications.
View Integrations →Yes. Agenta's core platform is open-source and can be self-hosted on your own infrastructure, which is common for teams with strict data-residency or compliance requirements. A managed cloud version is also offered, and enterprise tiers add private deployment, SSO, and advanced security controls.
Langfuse and Helicone focus primarily on tracing, analytics, and prompt management, while Agenta bundles prompt management, structured evaluations, and observability into one workflow. Agenta also emphasizes non-technical collaboration in the playground, which is less central in purely developer-focused tools.
Agenta is model- and framework-agnostic. It works with OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted open-source models, and integrates with LangChain, LlamaIndex, and LiteLLM. Its tracing is built on OpenTelemetry, so it plugs into standard observability pipelines.
It supports automated evaluators (exact match, similarity, regex, JSON validation, RAG faithfulness), LLM-as-a-judge evaluations, and human annotation workflows. Teams can run batch evaluations across multiple prompt variants and models using shared test sets and view results in comparison dashboards.
No. Product managers, domain experts, and QA can edit prompts, run test cases, and review outputs through the web UI. Engineers typically wire the application up with Agenta's SDK once, after which prompt changes can be deployed without touching application code.
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Integration information last verified March 2026