swiss-truth-llamaindex

LlamaIndex ToolSpec & Retriever for Swiss Truth — certified knowledge base for AI agents.

Stop your LlamaIndex agents from hallucinating. Ground every response in 3,000+ certified facts across 38 domains in 10 languages — verified by Swiss Truth.

Installation

pip install swiss-truth-llamaindex

Quick Start

Option 1 — ToolSpec (LlamaHub-compatible, recommended)

from swiss_truth_llamaindex import SwissTruthToolSpec
from llama_index.core.agent import ReActAgent
from llama_index.llms.openai import OpenAI

# Create the ToolSpec and convert to LlamaIndex tools
spec = SwissTruthToolSpec()
tools = spec.to_tool_list()

# Build a ReAct agent with Swiss Truth grounding
agent = ReActAgent.from_tools(
    tools,
    llm=OpenAI(model="gpt-4o"),
    verbose=True,
)

response = agent.chat("Is health insurance mandatory in Switzerland?")
print(response)

Option 2 — Individual FunctionTools

from swiss_truth_llamaindex import get_all_tools
from llama_index.core.agent import ReActAgent
from llama_index.llms.openai import OpenAI

tools = get_all_tools()
agent = ReActAgent.from_tools(tools, llm=OpenAI(model="gpt-4o"), verbose=True)
response = agent.chat("What is the EU AI Act risk classification?")
print(response)

Option 3 — RAG Retriever

from swiss_truth_llamaindex import SwissTruthRetriever
from llama_index.core.query_engine import RetrieverQueryEngine
from llama_index.llms.openai import OpenAI

# Domain-scoped retriever
retriever = SwissTruthRetriever(domain="swiss-law", limit=8)

# Use directly
nodes = retriever.retrieve("Is health insurance mandatory in Switzerland?")
for node in nodes:
    print(f"[{node.score:.2f}] {node.node.text}")

# Or plug into a query engine
engine = RetrieverQueryEngine.from_args(
    retriever,
    llm=OpenAI(model="gpt-4o"),
)
response = engine.query("What are the Swiss health insurance rules?")
print(response)

Available Tools

All 9 tools are available via SwissTruthToolSpec and as individual FunctionTool instances:

API Key

No API key is required for public endpoints. For higher rate limits or private domains, pass your key:

spec = SwissTruthToolSpec(api_key="your-key")
retriever = SwissTruthRetriever(api_key="your-key")

Advanced Usage

Custom client

from swiss_truth_llamaindex import SwissTruthClient, get_all_tools

client = SwissTruthClient(api_key="your-key", timeout=60.0)
tools = get_all_tools(client=client)

Hallucination guard for LLM responses

from swiss_truth_llamaindex import SwissTruthToolSpec

spec = SwissTruthToolSpec()

# After your LLM generates a response, fact-check it:
result = spec.verify_response(
    response_text="Switzerland has 9 million inhabitants and joined the EU in 2002.",
    domain="swiss-facts",
)
print(result)
# → {"hallucination_risk": "HIGH", "claims": [...], "contradicted": [...]}

EU AI Act compliance report

from swiss_truth_llamaindex import SwissTruthToolSpec

spec = SwissTruthToolSpec()
report = spec.get_compliance(domain="ai-ml")
print(report)

LlamaHub

This package is listed on LlamaHub as a Tool Spec integration. You can also load it via the LlamaHub loader:

from llama_index.core import download_loader

SwissTruthToolSpec = download_loader("SwissTruthToolSpec")
spec = SwissTruthToolSpec()
tools = spec.to_tool_list()

Links

• 🌐 Swiss Truth
• 📖 Documentation
• 🐍 PyPI
• 🦙 LlamaHub
• 🔗 MCP Endpoint
• 🐛 Issues

Related Packages

License

MIT © Swiss Truth