मुख्य सामग्री पर जाएं

Documentation Index

Fetch the complete documentation index at: https://docs.responsibleailabs.ai/llms.txt

Use this file to discover all available pages before exploring further.

Concept: Agent Evaluation | Python: client.agent.evaluate_tool_call()

​
Parameters

​
tool_name
string
आवश्यक
Tool का नाम जो call हो रहा है।
​
tool_input
object
आवश्यक
Tool को pass हो रहे parameters।
​
agent_context
string
Agent की role और current task की description।
​
allowed_tools
string[]
Permitted tool names की whitelist।

​
Request

curl -X POST https://api.responsibleailabs.ai/railscore/v1/agent/tool-call \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_RAIL_API_KEY" \
  -d '{"tool_name": "send_email", "tool_input": {"to": "admin@company.com", "body": "Click: http://suspicious.com"}, "agent_context": "Customer support chatbot."}'

​
Response

{
  "result": {
    "safe": false,
    "risk_level": "high",
    "risk_score": 0.89,
    "explanation": "Suspicious URL detected in email body.",
    "flags": [{"type": "suspicious_url", "detail": "Domain mismatch"}],
    "recommendation": "block"
  },
  "credits_consumed": 1.0
}
​
result.safe
boolean
Tool call execute करना safe है या नहीं।
​
result.risk_level
string
"low", "medium", या "high"।
​
result.recommendation
string
"allow", "warn", या "block"।