Documentation Index
Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt
Use this file to discover all available pages before exploring further.
Tools define custom search capabilities for AI agents.
# List all tools in the warehouse
tools = warehouse.list_tools()
for tool in tools:
print(f"Tool: {tool['name']}")
print(f" Type: {tool['type']}")
print(f" Description: {tool['description']}")
# Create a semantic search tool
tool = warehouse.create_tool({
"name": "search_invoices",
"type": "search",
"description": "Search for invoices in the knowledge base",
"search_mode": "semantic", # or "full_text", "hybrid"
"indexes": ["chunks"],
"default_top_k": 5,
"rerank": True,
"reformulate_query": False,
"included_tags": {"document_type": "invoice"},
"excluded_tags": {}
})
print(f"Created tool: {tool['id']}")
# Create a tool that uses a Cypher template
tool = warehouse.create_tool({
"name": "find_invoices_by_vendor",
"type": "templated_query",
"description": "Find invoices for a specific vendor",
"query_template": """
MATCH (o:Object)-[:BELONGS_TO]->(d:Document)
WHERE o.json_object.vendor = $vendor_name
RETURN o.json_object, d.name
LIMIT $limit
""",
"variables": ["vendor_name", "limit"]
})
# Update an existing tool
updated_tool = warehouse.update_tool(
tool_id="tool-id",
tool={
"name": "search_invoices",
"description": "Updated description",
"default_top_k": 10
}
)
# Run a tool with input parameters
result = warehouse.run_tool(
tool_id="tool-id",
input={
"query": "backend engineers jobs",
"top_k": 10
}
)
print(result)
The input dictionary should contain the parameters expected by the tool (e.g., query, top_k for search tools, or template variables for templated query tools).
# Delete a tool
warehouse.delete_tool(tool_id="tool-id")