Agent Analytics

import trodo
from trodo import (
    AgentCallProps, ToolUseProps, AgentResponseProps, AgentErrorProps
)
import traceback as tb

agent_id = 'agt_abc12345'
message_id = f'msg_{int(time.time() * 1000)}'

trodo.track_agent_call(AgentCallProps(
    agent_id=agent_id, conversation_id=conversation_id,
    message_id=message_id, distinct_id=user_id,
    prompt=user_message, model='claude-3-5-sonnet',
))

try:
    trodo.track_tool_use(ToolUseProps(
        agent_id=agent_id, conversation_id=conversation_id,
        message_id=message_id, distinct_id=user_id,
        tool_name='fetch_billing', status='success', latency_ms=82,
    ))

    response = client.messages.create(...)

    trodo.track_agent_response(AgentResponseProps(
        agent_id=agent_id, conversation_id=conversation_id,
        message_id=message_id, distinct_id=user_id,
        model='claude-3-5-sonnet',
        input_tokens=response.usage.input_tokens,
        output_tokens=response.usage.output_tokens,
    ))

except Exception as exc:
    trodo.track_agent_error(AgentErrorProps(
        agent_id=agent_id, conversation_id=conversation_id,
        message_id=message_id, distinct_id=user_id,
        error_type=type(exc).__name__,
        error_message=str(exc),
        traceback=tb.format_exc(),
    ))
    raise

// In the browser, distinctId is auto-carried from Trodo.identify()
const agentId = 'agt_abc12345';
const messageId = `msg_${Date.now()}`;

Trodo.track_agent_call({
  agentId, conversationId, messageId,
  prompt: userInput, model: 'gpt-4o',
});

// ... after LLM response arrives:
Trodo.track_agent_response({
  agentId, conversationId, messageId,
  inputTokens: usage.prompt_tokens,
  outputTokens: usage.completion_tokens,
});