agentd-sdk 0.2.0

Observability SDK for Claude Agent SDK - metrics, tracing, and debugging for AI agents

AgentD

Observability for AI Agents. Open spec. Self-host or use our platform.

Drop-in replacement for claude_agent_sdk.query() that adds metrics, tracing, and cost tracking.

# Before
from claude_agent_sdk import query

# After (that's it)
from agentd_sdk import query

---

Why?

You built an agent. It works locally. Now what?

• Where do I see what it did? → AgentD logs every tool call, duration, and token usage
• How much is this costing me? → Automatic cost estimation per run
• Why did it fail? → Full traces with inputs and outputs

---

Quick Start

Install

pip install agentd-sdk

Requires Claude Agent SDK

Use

import asyncio
from agentd_sdk import query
from claude_agent_sdk import ClaudeAgentOptions

async def main():
    options = ClaudeAgentOptions(
        allowed_tools=["WebSearch", "Read", "Write"],
        permission_mode="acceptEdits",
    )
    
    async for message in query(
        prompt="Research the latest AI agent frameworks",
        options=options,
        agent_id="my-research-agent",  # Optional: group runs
    ):
        print(message)

asyncio.run(main())

That's it. You'll see a summary printed after each run:

============================================================
📊 AGENT RUN SUMMARY
============================================================
Run ID:     550e8400-e29b-41d4-a716-446655440000
Agent:      my-research-agent
Status:     completed
Duration:   12,340ms, API: 11,200ms, Overhead: 1,140ms
TTFT:       890ms
Turns:      5
Model:      claude-sonnet-4-5-20250929
Tokens:     15,230 in / 3,200 out (cache: 2,100 read)
Cost:       ~$0.0936
Trace:      a1b2c3d4e5f6a7b8...

📦 Tool Usage:
  • WebSearch: 3x (1200ms) [✓]
  • Read: 2x (50ms) [✓]
  • Write: 1x (30ms) [✓]
============================================================

Note: Cost is estimated based on token counts, not actual Anthropic billing.

---

Configuration

Environment Variables

Variable	Description	Default
AGENTD_URL	HTTP endpoint to send metrics	None (console mode)
AGENTD_API_KEY	API key for authentication	None
AGENTD_AGENT_ID	Default agent ID	None
AGENTD_DISABLED	Set to "true" to disable	false
AGENTD_QUIET	Set to "true" to suppress console output	false
AGENTD_STREAMING	Real-time event streaming	false

Programmatic Configuration

from agentd_sdk import configure

configure(
    endpoint_url="https://your-receiver.com",
    api_key="your-api-key",
    agent_id="default-agent-id",
    include_trace=True,
    include_prompt=False,
)

---

Output Modes

Console (Default)

No config needed. Prints summary to stdout. Great for local development.

# Suppress console output
export AGENTD_QUIET=true

HTTP

Set AGENTD_URL to send data to a receiver:

export AGENTD_URL=https://your-receiver.com/v1/runs
export AGENTD_API_KEY=your-key

Disabled

export AGENTD_DISABLED=true

---

Alternative Usage Patterns

Wrapper Function

Keep using claude_agent_sdk.query() directly:

from claude_agent_sdk import query
from agentd_sdk import tracked_query

async for message in tracked_query(
    query(prompt="...", options=options),
    agent_id="my-agent"
):
    print(message)

Context Manager

For fine-grained control:

from claude_agent_sdk import query
from agentd_sdk import track_run

async with track_run(agent_id="my-agent") as tracker:
    async for message in query(prompt="...", options=options):
        tracker.process_message(message)
        # Custom processing here

---

Self-Hosting

We provide a reference receiver implementation. Run it, modify it, or use it to learn the spec.

Quick Start

cd receiver
pip install -r requirements.txt
python receiver.py

The receiver runs at http://localhost:8080. Point your SDK at it:

export AGENTD_URL=http://localhost:8080

What You Get

• SQLite storage (swap for Postgres, ClickHouse, etc.)
• REST API for querying data
• Ready for Grafana dashboards

API Spec

See spec/API.md for the full API contract. Build your own receiver if you want.

---

Data Model

AgentRun

{
  "run_id": "uuid",
  "agent_id": "my-agent",
  "status": "completed",
  "duration_ms": 12340,
  "api_duration_ms": 11200,
  "first_token_ms": 890,
  "num_turns": 5,
  "tokens": {"input": 15230, "output": 3200, "cache_read": 2100, "cache_write": 0},
  "cost_usd": 0.0936,
  "trace_id": "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6",
  "span_id": "a1b2c3d4e5f6a7b8",
  "tool_calls": [
    {"tool": "WebSearch", "count": 3, "total_duration_ms": 1200}
  ],
  "events": [/* full trace */]
}

RunEvent

{
  "event_id": "uuid",
  "type": "tool_call",
  "timestamp": "2025-01-15T10:30:00Z",
  "sequence_number": 5,
  "tool_name": "WebSearch",
  "tool_id": "toolu_123",
  "tool_input": {"query": "AI agents"},
  "tool_duration_ms": 400,
  "tool_success": true
}

---

Philosophy

1. Open spec — The API contract is public. Build your own receiver, use ours, or switch later.
2. No lock-in — Remove AgentD and your agent still works. It's just a wrapper.
3. Start simple — Console output by default. Add infrastructure as you need it.

---

License

MIT

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Contributing

Issues and PRs welcome. See CONTRIBUTING.md.