Integrations Overview

from sakshi.middleware import (
    watch_openai_compatible,
    watch_anthropic,
    watch_gemini,
    watch_bedrock,
    watch_langgraph,
    witness_node,
    watch_mcp,
    SakshiAdkPlugin,
    SakshiCrewListener,
    SakshiStrandsHooks,
)

from sakshi import SakshiClient
from sakshi.middleware import watch_openai_compatible
from openai import OpenAI

# 1. Point the SDK at your Sakshi deployment.
sakshi = SakshiClient(
    base_url="https://sakshi.your-company.internal",
    api_key="sks_...",
)

# 2. Register the agent. Idempotent by name, so safe on every startup.
agent_id = sakshi.register(
    "loan-decision-agent",
    owner_name="Priya Sharma",
    owner_email="priya@your-company.com",
    autonomy_tier="L1",
)

# 3. Wrap the provider client once. This is the one line.
llm = watch_openai_compatible(OpenAI())

# 4. Calls made inside a witness session are recorded automatically.
with sakshi.witness(agent_id, client_ref="APP-2026-04471") as decision:
    reply = llm.chat.completions.create(
        model="gpt-5.2",
        messages=[{"role": "user", "content": "Assess this applicant."}],
    )
    decision.action(outcome="approved", amount=1_500_000, mode="auto")