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#

llmops

Here are 822 public repositories matching this topic...

llm-app

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

  • UpdatedJan 7, 2026
  • Jupyter Notebook

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

  • UpdatedFeb 20, 2026
  • Python

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

  • UpdatedFeb 20, 2026
  • TypeScript
mlflow

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

  • UpdatedFeb 20, 2026
  • Python

本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)

  • UpdatedDec 30, 2025
  • HTML
langfuse

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

  • UpdatedFeb 20, 2026
  • TypeScript
serve

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

  • UpdatedFeb 20, 2026
  • Python
SuperAGI

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

  • UpdatedJan 22, 2025
  • Python

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

  • UpdatedFeb 11, 2026
  • Python

Supercharge Your LLM Application Evaluations 🚀

  • UpdatedJan 31, 2026
  • Python

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

  • UpdatedFeb 16, 2026
  • Python

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

  • UpdatedFeb 9, 2026
  • TypeScript
tensorzero

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

  • UpdatedFeb 20, 2026
  • Rust
gateway

A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

  • UpdatedFeb 19, 2026
  • TypeScript

Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  • UpdatedFeb 20, 2026
  • TypeScript
metaflowphoenixBentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

  • UpdatedFeb 11, 2026
  • Python

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  • UpdatedFeb 20, 2026
  • Jupyter Notebook

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