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    PibyThree Pi-LangEval - Observe, Test, Measure, Evaluate & Deliver

     Info
    π-LangEval is an enterprise-grade LLM & SLM observability and evaluation platform that gives AI engineering teams end-to-end tracing, automated quality scoring, and real-time cost monitoring across all generative AI workloads. It supports multi-agentic workflows, RAG pipelines, and 40+ LLM providers, turning non-deterministic AI outputs into auditable, production-ready systems.

    Overview

    π-LangEval is an enterprise LLM & SLM evaluation and observability platform purpose-built for teams deploying AI agents, RAG systems, and SLM/LLM-powered applications at scale. It captures end-to-end traces across every execution span, from user input through retrieval, model calls, and tool use and applies automated LLM-as-a-Judge scoring using built-in evaluators such as Context Precision, Answer Relevance, Faithfulness, BLEU, and ROUGE. With real-time cost tracking at the token, model, and user level, teams gain full visibility into spend across 40+ providers including OpenAI, Claude, AWS Bedrock, and Google Gemini. Native multi-tenancy, role-based access control, immutable audit logs, and end-to-end encrypted credential storage meet enterprise compliance and security requirements out of the box. π-LangEval bridges the gap between demo and production, making prompt engineering a measurable discipline and AI deployment a repeatable, auditable process.

    Highlights

    • End-to-end Observability and Automation of Evaluation Complete logging of everything happening at each step of an execution, from user inputs through database queries and model invocations, tools invoked, and decisions made by agents. In-built LLM-as-a-Judge evaluators for Context precision, recall, faithfulness, BLEU, and ROUGE that can perform live and batch evaluation with Golden Datasets regression testing for quality degradation detection.
    • Cost Intelligence in Real Time & Agentic Workflow Management Trace-based and user-level cost tracking on more than 40 LLM services (OpenAI, Claude, Bedrock, Gemini, Mistral, Llama) with tokenization based on the model, prompt, and team — including a proprietary pricing model for customized or trained models. Agent discovery automatically uncovers intricate multi-agent workflows without any setup.
    • Enterprises Need Enterprise-Level Security, Multi-Tenancy, and Zero-Configuration Integrations Project-level isolation in databases, RBAC, immutable log records, credentials encryption using Fernet, hashing of API keys with SHA-256, JWT authentication, and backup in S3 events – developed for regulatory requirements-heavy organizations. The SDK with OpenTelemetry and instrumentation for LangChain calls, HTTP requests, and custom functions works out of the box.

    Details

    Delivery method

    Deployed on AWS
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