Keywords AI
Confident AI vs Portkey
Compare Confident AI and Portkey side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Open Source | — |
| Best For | Developers who want to add automated LLM evaluation testing to their CI/CD pipeline | — |
| Website | confident-ai.com | portkey.ai |
| Key Features |
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| Use Cases |
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When to Choose Confident AI vs Portkey
- Unit testing LLM applications
- Automated evaluation in CI/CD pipelines
- Benchmarking across model versions
About Confident AI
Confident AI develops DeepEval, the most popular open-source LLM evaluation framework. DeepEval provides 14+ evaluation metrics including faithfulness, answer relevancy, contextual recall, and hallucination detection. The Confident AI platform adds collaboration features, regression testing, and continuous evaluation in CI/CD pipelines.
About Portkey
Portkey provides LLM observability alongside its gateway capabilities, offering detailed logging, metrics, and tracing for LLM API calls. Teams can monitor latency, costs, token usage, and error rates across providers, with request-level debugging and analytics dashboards for production AI applications.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
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