Rhesis AI
Rhesis AI: A broad open-source toolkit for testing, monitoring, and improving LLM applications. Ranked #15 of 30 in AI LLM Evaluation Tools by our editors (8.0/10); pricing: Free plan; best for teams needing flexible hosted or self-hosted testing.
At a glance
- Editor score8.0 / 10
- PricingFree plan
- Best forTeams needing flexible hosted or self-hosted testing
- Free planYes
- Safety evaluationsYes
- Facts checked22 Sep 2026
Where it wins
- Supports offline, online, adversarial, and custom evaluations
- Connects with major models, frameworks, REST, WebSockets, and Python
- Offers cloud, local Docker, and self-hosted deployment options
Where it doesn't
- Requires connected application endpoints for automated evaluations
- Broad evaluation coverage can require configuration across multiple methods
- Self-hosting places deployment and maintenance responsibilities on the team
Our verdict on Rhesis AI
Rhesis AI is an open-source evaluation and testing platform for teams building LLM and agentic applications. It supports single-turn and multi-turn test-set generation, automated evaluations against connected endpoints, expert annotations, production-trace monitoring, and safety testing. Teams can access it through Rhesis Cloud, local Docker deployment, or a self-hosted installation, making it suitable for organizations that need either a managed service or control over their deployment environment.
Its strongest feature is breadth across the evaluation lifecycle. Rhesis supports offline evaluation, online trace metrics, LLM-as-a-judge assessments, custom metrics, and adversarial red-teaming with Garak. It also works with DeepEval and Ragas metrics, while integrations cover OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Groq, Together AI, Ollama, vLLM, LiteLLM Proxy, LangChain, LangGraph, Microsoft Agent Framework, Google ADK, and Haystack. REST, WebSocket, and Python SDK connections let teams bring applications into the evaluation workflow, while the REST API exposes test sets, runs, results, and traces.
Rhesis AI fits teams that want one evaluation environment spanning generated test data, automated checks, human feedback, production traces, and adversarial testing. The free Rhesis Cloud allowance and unmetered open-source self-hosting also give teams flexible ways to begin. It is less suitable for organizations seeking a narrowly focused evaluation utility with minimal configuration, because its broad methods, integrations, and deployment choices require teams to define how their applications, metrics, and test workflows should connect.
Your product? Our editors can test Rhesis AI in depth and publish a review, labelled as paid · from $149/mo →
Rhesis AI pricing
Rhesis AI fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Evaluation methods | offline evaluation, online trace metrics, LLM-as-a-judge, custom metrics, single-turn testing, multi-turn testing, adversarial red-teaming |
| Model support | OpenAI, Anthropic, Google Gemini, Azure OpenAI, Mistral, Cohere, Groq, Together AI, Perplexity, Replicate, Ollama, vLLM, LiteLLM Proxy |
| Safety evaluations | Yes |
| Deployment | Not verified |
| Prompt versioning | Not verified |
| API access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 20 integrations: OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Groq … See all → |
| Pricing | Free plan (source) |
| Website | rhesis.ai |
| Facts checked | 22 Sep 2026 |
Rhesis AI integrations
Rhesis AI lists 20 integrations on its own site.
- OpenAI
- Anthropic
- Google Gemini
- Mistral
- Cohere
- Groq
- Together AI
- Ollama
- vLLM
- LiteLLM Proxy
- LangChain
- LangGraph
- Microsoft Agent Framework
- Google ADK
- Haystack
- Notion
- GitHub
- Jira
- GitLab
- Asana
See all Rhesis AI integrations →
Alternatives to Rhesis AI
- DeepEvalA code-first toolkit for testing LLM apps, agents, tools, safety, and regressions.9.4
- Arize PhoenixA free, open-source toolkit covering traces, evaluations, prompts, datasets, and costs.9.3
- PromptfooA broad evaluation and security toolkit for teams testing AI systems in development.9.2
See all Rhesis AI alternatives →
Used Rhesis AI? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Rhesis AI for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Rhesis AI is listed in our AI LLM Evaluation Tools directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/rhesis-ai/"><img src="https://www.itechguides.com/best/badge/rhesis-ai.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update