Source
PyPI agents
24,982 AI agents indexed on MeshKore from PyPI. Agent frameworks and tools published to the Python Package Index. Each entry links back to its project page.
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Source platform: PyPI →
PyPI agents — page 137 of 250
Regression-based LLM benchmark ratings + publication-ready scorecards.
An LLM-powered tool for discovering and analyzing research papers
LLM-powered web scraping in Python
Find the Best Generation Parameters for your LLM & Dataset
A high-performance static internet index for LLM RAG applications
A Python library for LLM security
A lightweight, production-ready service layer for modular, rate-aware LLM integrations
Runtime monitor for LLM agent interaction protocols based on session type theory
Command-line tool to use Large Language Models in your shell,including OpenAI, Anthropic, PalM, Mistral, Cohere, and more.
Comprehensive analysis tool for LLM streaming traffic from PCAP files
Convert natural language to shell commands using LLMs (GPT4All, OpenAI, Ollama)
Strategic APIs to Accelerate LLM Use Cases
Shields your confidential data from third-party LLM providers.
Lightweight validation, repair, and retry helpers for LLM outputs.
Spanish language corpus for LLMShield entity detection.
Multi-provider LLM gateway — one interface, every provider
Client and Tools for LLMs
LLM unified interface
Know where your AI money goes. Track LLM API costs per feature, per model, per user.
A Text2SQL benchmark for evaluation of Large Language Models
Low-code platform to build generative AI apps, chatbots and agents with your data
One command. Full LLM stack. Zero config.
A Python library for building GPT-powered agents with state machine logic and chat history memory.
llmster
A provider-agnostic LLM toolkit with tool calling, skills, and parallel execution.
Adversarial security testing framework for LLM-powered applications
A Python library for reliably extracting structured JSON from text and validating it with Pydantic models.
Prompt Perfection at Your Fingertips
LLMStudio core capabilities for routing llm calls for any vendor. No proxy server required. For that use llmstudio[proxy]
LLMstudio Proxy is the module of LLMstudio that allows calling any LLM as a Service Provider in proxy server. By leveraging LLMstudio Proxy, you can have a centralized point for connecting to any provider running independently from your application.
LLMstudio Tracker is the module of LLMstudio that allows monitoring and logging your LLM calls. By leveraging LLMstudio Tracker, users can gain insights on model performance and streamline development workflows with actionable analytics.
Design and build LLMs.txt knowledge structures by extracting and summarizing web content
AST-aware llms.txt generator for Python and JavaScript/TypeScript codebases
Generate llms.txt from built HTML documentation
Convert llms.txt to Claude Code Skill format
Python SDK, CLI, and Arena for 10 LLM providers. Compare models, synthesize a privacy-aware Best Answer, use MCP tools, fallback, caching, and direct BYOK access.
LLMT aims to make it easy to programatically connect OpenAI and HuggingFace models to your data pipelines, CI/CD, or personal workspaces.
Use LLMs to label any textual dataset
LLM Downstream Task Evaluation Tool.
LLM任务难度评分工具，支持百炼、OpenRouter和Gemini等大模型
A Python bookstore to simplify the definition, execution and chaining of tasks using LLMS.
Enterprise AI Workflow Runtime - Multi-agent LLM pipelines with security, orchestration, and workflow capabilities
A CLI tool that sends prompts to an LLM and outputs responses
Intentionally Simple. Generic LLM interface
Gemini provider for LLMterface
llmtest package
Anthropic provider for llmtest
CLI for llmtest
Core library for llmtest — Pydantic models, assertions, runners
pytest for LLM apps - test for grounding failures, prompt injection, safety, and regressions
Ollama provider for llmtest
OpenAI provider for llmtest
Production-quality performance validation and regression testing for LLM inference systems
pytest plugin for llmtest
A new package that helps developers integration-test AI and LLM applications by validating structured outputs. It takes a user's test scenario or prompt as input, sends it to an LLM, and uses pattern
LLM Tests
A simple llm library.
A framework for evaluating overthinking and basic reasoning capabilities of Large Language Models
Type-safe function registration and validation for LLM function calls
Count tokens and explore chat templates using HuggingFace tokenizers or OpenAI tiktoken
A package with useful functions for working with Large Language Models
Tools using ollama and torch that are easy and nice to have for working with local LLMs
LLM-powered system monitoring with real-time performance insights
A library for extracting topics from text documents using llms.
llm model process for pytorch
A lightweight LLM observability and evaluation framework.
Zero-config decorator for tracing LLM calls
Python bindings for LLMTrace — security-aware LLM observability
Lightweight structured tracing for LLM applications
LLMTracer: A tool to trace the execution of a program that uses LLMs and visualize the results.
Auto-track LLM cost, latency, and usage. Two lines of code, every provider.
End-to-end observability with built-in security guardrails.
A tool to view LLM call traces from JSONL log files.
Lightweight LLM observability. SQLite-based tracing with zero infrastructure.
Python bindings for LLMTrace — security-aware LLM observability
A concise description of your package.
A Python library for language detection and translation using langchain ChatModels
Text translator using OpenAI-like API.
CLI tool for preparing project data for LLM context
A package for LLM tricks
llmtune
Easy-to-use LLM fine-tuning framework
A lightweight, model-agnostic context engine for LLMs. Feed your model tasty context.
LLM URI Parsing.
Eval-Scope: Lightweight LLMs Evaluation Framework
A few utility classes for working with LLMs
LLM inference for power users.
Automatically find cheaper LLM alternatives while maintaining performance
Automatically find cheaper LLM alternatives while maintaining performance
command line tool to interact with LLM with vision
Oncoshot LLM validation framework
Security testing toolkit for LLM prompt injection vulnerabilities
Record and replay LLM API responses for fast, free, deterministic tests
LLM Hallucination & Drift Detection — Verify LLM outputs for accuracy, consistency, and reliability
Visualize how LLMs tokenize text
Command Line LLM with client-side tools support.
LLM vs. LLM: Simulates a rap battle or debate between two Large Language Models (LLMs)
Explore the answer-space for any prompt and any MLX-supported model.