Google Gemini

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Install

pip install sakshi-sdk google-genai

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Wrap the client

from google import genai

client = genai.Client()

reply = client.models.generate_content(
    model="gemini-2.5-pro",
    contents="Assess this applicant.",
)

from google import genai
from sakshi.middleware import watch_gemini

client = watch_gemini(genai.Client())

with sakshi.witness(agent_id, client_ref="APP-2026-04471") as decision:
    reply = client.models.generate_content(
        model="gemini-2.5-pro",
        contents="Assess this applicant.",
    )
    decision.action(outcome="approved", mode="auto")

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What gets recorded

• The provider, recorded as google-gemini.
• model_requested versus model_served, taken from the response model_version, so a silent model swap is visible.
• Prompt and candidate token usage.
• The call latency.
• With content capture on, the contents you sent and the response text, each truncated to content_limit.

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Capture options

watch_gemini(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 the input and response is stored. The default is 1000 characters.