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LangChain integration for FreelanceFlow - Smart AI model routing across 21+ models with cost tracking

Project description

LangChain FreelanceFlow Integration

PyPI version

LangChain-compatible LLM that routes prompts through FreelanceFlow's intelligent router.

Features

  • 🚀 Smart Routing - Auto-selects best model for cost, speed, or quality
  • 💰 Cost Tracking - Every call tracked automatically
  • 🛡️ Budget Protection - Kill switch prevents cost overruns
  • 🔧 5 LangChain Tools - Compare models, generate images, review code, RAG search, translate
  • 📊 21+ Models - Groq, Google, and more

Installation

ash pip install langchain-freelanceflow

Quick Start

python from langchain_freelanceflow import FreelanceFlowRouter

llm = FreelanceFlowRouter(api_key="your_key", preference="speed") response = llm.invoke("What is machine learning?") print(f"Model: {llm.last_model} | Cost: ")

LangChain Tools

python from langchain_freelanceflow import compare_models, generate_image, review_code

Compare models

result = compare_models.invoke({"prompt": "Explain AI", "api_key": "your_key"})

Generate image

result = generate_image.invoke({"prompt": "A sunset over mountains", "api_key": "your_key"})

Review code

result = review_code.invoke({"code": "def add(): pass", "language": "python", "api_key": "your_key"})

Documentation

Full docs: https://ai-api.usefreelanceflow.com/docs

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