Anthropic

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Install

pip install sakshi-sdk anthropic

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Wrap the client

from anthropic import Anthropic

client = Anthropic()

reply = client.messages.create(
    model="claude-opus-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Assess this applicant."}],
)

from anthropic import Anthropic
from sakshi.middleware import watch_anthropic

client = watch_anthropic(Anthropic())

with sakshi.witness(agent_id, client_ref="APP-2026-04471") as decision:
    reply = client.messages.create(
        model="claude-opus-4-6",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Assess this applicant."}],
    )
    decision.action(outcome="approved", mode="auto")

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What gets recorded

• The provider, recorded as anthropic.
• model_requested versus model_served, so a silent model swap is visible.
• The response id and the stop reason.
• Input and output token usage.
• The call latency.
• With content capture on, the last message you sent and the first text block of the response, each truncated to content_limit.

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Capture options

watch_anthropic(client, capture_content=True, content_limit=1000)

• capture_content defaults to True. Content capture is safe by design: the platform tokenizes PII at ingest, before storage or hashing. Set it to False for a minimal-capture deployment where only metadata, tokens, and identity are recorded.
• content_limit caps how much of each message and response is stored. The default is 1000 characters.