Google ADK

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Install

pip install "decimalai[adk]"

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Use

import decimalai
decimalai.init(api_key="dai_sk_...", adk=True)

# Every Runner created afterwards is traced
from google.adk.runners import Runner
runner = Runner(agent=my_agent, app_name="support", session_service=svc)
# all runner.run_async(...) invocations are now traced

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Explicit form — add the plugin yourself

from decimalai.adk import DecimalaiPlugin
from google.adk.runners import Runner

runner = Runner(
    agent=my_agent, app_name="support", session_service=svc,
    plugins=[DecimalaiPlugin(agent_name="support")],
)

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What gets captured

• One trace per invocation: LLM generations, tool calls with inputs/results, and sub-agent activity
• Auto-detected manifest from the root agent: model, instruction (system prompt), tools (names + descriptions), and sub-agents
• Errors: model/tool errors mark their span; the invocation’s end status is recorded on the trace

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Caveats

• Manifest tool depth is names + descriptions, not full JSON schemas — use register_manifest() if you need schema-aware regression checks.
• The explicit plugin’s agent name wins over ADK’s internal node name; the global install() form falls back to the ADK agent’s own .name.
• DECIMAL_AUTO_TRACE=adk works for zero-code setup, provided DECIMAL_API_KEY is also set.
• No skills rail on this adapter yet — skills for ADK agents are a prompt-assembly exercise via SkillRouter.build_prompt_fragment().

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What’s next