AgentaAI

AgentaAI is the open-source LLMOps platform built for LLM product teams. Manage prompts, run automated & human-in-the-loop evaluations, and get full observability across dev, staging, and production environments.

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AgentaAIopen-source LLMOpsprompt version controlLLM evaluation toolLLM observability & tracingRAG agent evaluationmulti-stage prompt deployment

Features of AgentaAI

Visual prompt editor for Chat and Completion models

Version & variant control—rollback in one click

Promote any version from dev → staging → production

Built-in automated evaluation & test-set regression checks

Human review workflows for business-specific quality checks

Full request tracing to debug retrieval vs generation issues

Cost & failure-case dashboards for continuous edge-case analysis

SDK pull or gateway proxy—adopt without touching core code

GitHub & Webhook CI/CD hooks for seamless release automation

Use Cases of AgentaAI

Batch-evaluate prompt candidates before every production release

Trace RAG pipelines to spot retrieval or generation bottlenecks

Progressively ship validated prompts across environments

Let ops & annotation teams add human judgments to automatic metrics

Feed real user complaints back into test sets for the next sprint

Pull prompts client-side to keep latency-critical paths untouched

Spin up gateway mode for instant observability on brown-field projects

FAQ about AgentaAI

QWhat is AgentaAI?

An open-source LLMOps platform that gives teams prompt management, automated & human evaluation, and production observability in one place.

QWhich pain-points does it solve?

Prompt chaos, weak evaluation, hard-to-reprod production bugs, and broken hand-offs between product, eng, and ops teams.

QWhat evaluation methods are supported?

Automated metrics on test sets, human rating workflows, and live-traffic feedback loops for regression & A/B checks.

QHow do I integrate it with an existing LLM app?

Drop-in SDK to fetch the latest prompt, or route calls through the Agenta gateway—pick the option that needs the least code change.

QCan I monitor production with it?

Yes—request tracing, failure-sample capture, token-cost tracking, and alerting are all included.

QWho is the target user?

Cross-functional LLM product squads—PMs, engineers, data scientists, and annotators—who ship frequent prompt updates under quality gates.

QSelf-hosted or SaaS?

Both options are offered; check the official docs for the latest deployment templates and cloud tiers.

QIs it free?

There is a generous free tier; enterprise features and hosted plans are listed on the AgentaAI pricing page.

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