Anthropic SDK

Prefer zero setup? Use plog run or import provenlog.auto instead. See Auto-Instrumentation.

Setup

from anthropic import Anthropic
from provenlog.integrations.anthropic import Trail

with Trail(agent_id="my-anthropic-agent") as trail:
    client = trail.wrap(Anthropic())
    response = client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Hello!"}]
    )

What gets captured

Event	Action Type	Details
Message creation	`LLM_CALL`	Model, messages, parameters
Message response	`LLM_RESPONSE`	Content, token usage, stop reason
Streaming	`LLM_CALL` / `LLM_RESPONSE`	Same as above, captured on stream completion

How it works

The Trail uses transparent method wrapping on the Anthropic client. It intercepts messages.create() and messages.stream() calls, captures inputs and outputs, and logs them to the audit trail. The wrapped client behaves identically to the original — ProvenLog never modifies the API call or response.

Configuration

# Simple — uses default embedded mode
trail = Trail(agent_id="my-anthropic-agent")

# With explicit client for custom configuration
from provenlog import ProvenLogClient

client = ProvenLogClient("http://localhost:7600", agent_id="my-agent")
trail = Trail(client=client, agent_id="my-anthropic-agent")

OpenAI Agents SDK AG2 (AutoGen)

Getting Started

Core Concepts

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Setup

What gets captured

How it works

Configuration

​Setup

​What gets captured

​How it works

​Configuration

Setup

What gets captured

How it works

Configuration