FAR Search Tool for LangChain

A LangChain tool for semantic search over Federal Acquisition Regulations (FAR).

Enable your AI agents to search and understand U.S. government contracting regulations, procurement rules, and compliance requirements.

Keywords: langchain, government contracting, FAR, federal acquisition regulations, procurement, compliance, AI agent tools, RAG, semantic search

Installation

pip install far-search-tool

🚀 Quick Start (30 seconds)

Step 1: Install

pip install far-search-tool

Step 2: Use It

from far_search import FARSearchTool

# Auto-registers on first use - no API key needed!
tool = FARSearchTool()
result = tool.invoke({"query": "small business set aside requirements"})
print(result)

That's it! On first use, you'll see:

============================================================
✅ FAR Search Tool - Auto-registered!
============================================================
📋 Your API key: far_live_abc123...
📊 Free tier: 500 queries/month
📖 Upgrade: https://rapidapi.com/yschang/api/far-rag-...
💾 Save your key: export FAR_API_KEY=far_live_abc123...
============================================================

With RapidAPI Key (Higher Limits)

For production use with higher rate limits, get an API key from RapidAPI.

from far_search import FARSearchTool

tool = FARSearchTool(rapidapi_key="your-rapidapi-key")

result = tool.invoke({
    "query": "cybersecurity requirements for contractors"
})

Use with LangChain Agents

from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from far_search import FARSearchTool

# Initialize LLM and tool
llm = ChatOpenAI(model="gpt-4")
tools = [FARSearchTool()]

# Create agent
agent = initialize_agent(
    tools=tools,
    llm=llm,
    agent=AgentType.OPENAI_FUNCTIONS,
    verbose=True
)

# Ask about regulations
response = agent.run(
    "What are the FAR requirements for small business subcontracting plans?"
)
print(response)

Use with LangGraph

from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
from far_search import FARSearchTool

# Create agent with FAR search capability
agent = create_react_agent(
    ChatOpenAI(model="gpt-4"),
    tools=[FARSearchTool()]
)

# Query the agent
result = agent.invoke({
    "messages": [("user", "What cybersecurity clauses should I include in a DoD contract?")]
})

Pricing & Plans

Your first run auto-registers you on the free tier. No sign-up needed!

When you approach your monthly limit (50%, 80%, 100%), you'll see usage warnings with a link to upgrade on RapidAPI.

For Government Contractors

FAR Search Tool helps government contractors verify compliance requirements before proposal submission.

Problem: LLMs hallucinate FAR citations. A wrong citation in a $5M proposal costs $500K+.

Solution: FAR Search Tool provides ground-truth, official FAR clauses with acquisition.gov citations.

Use Cases:

• Verify compliance requirements before proposal submission
• Auto-generate accurate FAR clause references
• Audit AI-generated contract language
• Train compliance teams on regulatory changes

Compliance Benefits:

• Supports DFARS audit trails (via Agent Observability)
• SOC 2 compliant data handling
• 100% legal FAR data (public domain)

Read the Government Contractor Guide

Features

• Semantic Search: Find relevant regulations using natural language queries
• Pre-vectorized Data: 617 FAR clauses with pre-computed embeddings for fast search
• LLM-Optimized Output: Results formatted for easy consumption by language models
• Retry Logic: Built-in handling for transient failures
• Auto-Registration: Just instantiate and use - no signup required
• Usage Warnings: Get notified at 50%, 80%, 100% of your monthly quota

API Reference

FARSearchTool

FARSearchTool(
    rapidapi_key: str = None,      # Optional RapidAPI key for paid tier
    base_url: str = None,          # Override API URL (for self-hosted)
    timeout: int = 30,             # Request timeout in seconds
    max_retries: int = 2           # Retry attempts on failure
)

Input Schema

Output

Returns a formatted string containing matching FAR clauses with:

• Clause ID and title
• Relevance score
• Source reference
• URL to official documentation
• Clause text (truncated if long)

Example Queries

• "Small business set aside requirements"
• "Cybersecurity contract clauses"
• "Payment terms for government contracts"
• "Contractor ethics and conduct rules"
• "Cost accounting standards"
• "Intellectual property rights in contracts"
• "Subcontracting plan requirements"
• "Contract termination procedures"

Error Handling

from far_search import FARSearchTool, FARAPIError, FARRateLimitError

tool = FARSearchTool()

try:
    result = tool.invoke({"query": "my query"})
except FARRateLimitError:
    print("Rate limit exceeded. Upgrade your plan or wait.")
except FARAPIError as e:
    print(f"API error: {e}")

Compliance & Audit Logging

For government contractors and regulated industries, maintain audit trails of all FAR searches using Agent Observability:

from far_search import FARSearchTool
from agent_observability import AgentLogger

# Initialize - auto-registers on first use, no API key needed!
far_tool = FARSearchTool()
logger = AgentLogger()

# Search and log for compliance
query = "cybersecurity requirements FAR 52.204"
results = far_tool.invoke({"query": query})

# Log the search for audit trail
logger.log("far_search", {
    "query": query,
    "results_count": len(results) if isinstance(results, list) else 1,
    "contract": "GS-00F-0001X",
    "purpose": "compliance_check"
})

# First log auto-registers and shows:
# ✅ Agent Observability - Auto-registered!
# 📋 Your API key: ao_live_abc123...

Why log FAR searches?

• DFARS Compliance: Government contracts often require audit trails
• Cost Tracking: Know how much time is spent on regulatory research
• Team Analytics: See what your team searches most frequently
• SOC 2 / ISO 27001: Demonstrate due diligence in compliance

Setup (30 seconds):

pip install agent-observability

That's it! No API key needed - auto-registers on first use. Free tier: 100K logs/month.

Learn more: Agent Observability

Requirements

• Python 3.9+
• langchain >= 0.1.0
• requests >= 2.28.0
• pydantic >= 2.0.0

License

MIT License - see LICENSE for details.

Links

• API Documentation
• GitHub Repository
• FAR Official Website

Contributing

Contributions welcome! Please open an issue or submit a pull request.