classifinder 0.1.7

Python SDK for the ClassiFinder secret detection API

ClassiFinder

Python SDK for the ClassiFinder secret detection API. Scan text for leaked secrets, get structured findings, and redact sensitive values — built for AI agents, LLM pipelines, and CI/CD.

pip install classifinder

Quick Start

from classifinder import ClassiFinder

client = ClassiFinder(api_key="ss_live_...")
# or set CLASSIFINDER_API_KEY env var

result = client.scan("AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE")

for finding in result.findings:
    print(f"{finding.type_name}: {finding.value_preview} "
          f"(severity={finding.severity}, confidence={finding.confidence})")

Redact Secrets

Strip secrets from text before forwarding to LLMs, logging systems, or downstream services.

result = client.redact("Deploy key: sk_live_51H7bKLkdFJH38djfh")

print(result.redacted_text)
# "Deploy key: [STRIPE_LIVE_SECRET_KEY_REDACTED]"

Three redaction styles:

client.redact(text, redaction_style="label")  # [AWS_ACCESS_KEY_REDACTED]
client.redact(text, redaction_style="mask")   # AKIA**************
client.redact(text, redaction_style="hash")   # [REDACTED:sha256:a1b2c3d4]

Async Support

Full async client with the same API surface.

from classifinder import AsyncClassiFinder

async def check_text():
    async with AsyncClassiFinder(api_key="ss_live_...") as client:
        result = await client.scan("check this config")
        result = await client.redact("strip secrets from this")

Both clients support context managers (with / async with) for automatic connection cleanup.

LangChain Integration

Guard your LLM chains against secret leakage with ClassiFinderGuard — a LangChain Runnable that slots into any chain.

pip install classifinder[langchain]

Redact mode (default)

Secrets are replaced with safe placeholders. The chain continues with clean text.

from classifinder.integrations.langchain import ClassiFinderGuard

guard = ClassiFinderGuard(api_key="ss_live_...")

# Standalone
clean = guard.invoke("My token is ghp_abc123secret")
# "My token is [GITHUB_PAT_CLASSIC_REDACTED]"

# In a chain — secrets never reach the LLM
chain = guard | your_llm | output_parser
response = chain.invoke(user_input)

Block mode

Raises SecretsDetectedError if any secrets are found — use when you want to reject input rather than clean it.

from classifinder.integrations.langchain import ClassiFinderGuard
from classifinder import SecretsDetectedError

guard = ClassiFinderGuard(api_key="ss_live_...", mode="block")

try:
    guard.invoke("sk_live_51H7bKLkdFJH38djfh")
except SecretsDetectedError as e:
    print(f"Blocked: {e.findings_count} secret(s) detected")

Fail-open by default

If the ClassiFinder API is unreachable, the guard passes text through unmodified so your pipeline never breaks. Set fail_open=False to hard-fail instead.

guard = ClassiFinderGuard(fail_open=False)  # raises on API errors

Async chains

Works with ainvoke for async LangChain pipelines:

clean = await guard.ainvoke("check this async")

All Client Methods

Method	Endpoint	Description
client.scan(text, ...)	POST /v1/scan	Detect secrets, return findings
client.redact(text, ...)	POST /v1/redact	Detect + replace secrets in text
client.get_types()	GET /v1/types	List all 106 detectable secret types
client.health()	GET /v1/health	Check API status
client.feedback(...)	POST /v1/feedback	Report false positives/negatives

Configuration

client = ClassiFinder(
    api_key="ss_live_...",           # or CLASSIFINDER_API_KEY env var
    base_url="https://api.classifinder.ai",  # default
    max_retries=2,                   # retries on 429/500/timeout
    timeout=30.0,                    # seconds
)

Built-in retry with exponential backoff on rate limits (429), server errors (500), and timeouts.

High-throughput tuning (optional)

For callers fanning out many concurrent requests (e.g., a CLI scanning thousands of files), the constructor accepts two extra kwargs:

import httpx
from classifinder import ClassiFinder

client = ClassiFinder(
    api_key="ss_live_...",
    http2=True,                                  # enable HTTP/2 multiplexing
    limits=httpx.Limits(                         # tune the httpx connection pool
        max_connections=100,
        max_keepalive_connections=20,
    ),
)

Both default to safe values (HTTP/1.1, httpx defaults), so existing callers see no behavior change. http2=True requires the optional [http2] extra:

pip install classifinder[http2]

Error Handling

from classifinder import (
    ClassiFinder,
    ClassiFinderError,       # base class for all errors
    AuthenticationError,     # 401 — invalid API key
    RateLimitError,          # 429 — retry after e.retry_after seconds
    InvalidRequestError,     # 400 — bad request body
    ForbiddenError,          # 403
    ServerError,             # 500
    APIConnectionError,      # network/timeout
    SecretsDetectedError,    # raised by LangChain guard in block mode
)

What It Detects

106 secret types across 7 categories: AWS, GCP, Azure, Stripe, GitHub, GitLab, Slack, Twilio, SendGrid, OpenAI, Anthropic, Cohere, database connection strings, SSH/PEM keys, JWTs, credit card numbers, and more.

Full list: GET /v1/types

Get an API Key

Free tier: 60 requests/minute, 256 KB max payload.

Get your key at classifinder.ai.

Links

• API Documentation
• Open-source engine (MIT — audit the code that touches your data)
• MCP Server for Claude Code / Cursor
• cfsniff — CLI tool that scans your machine for leaked secrets using this SDK (pipx install cfsniff)

Disclaimer

ClassiFinder is a detection aid, not a guarantee. No scanner catches 100% of secrets in 100% of formats. Use as one layer of a defense-in-depth security strategy. See our Terms of Service for full details.

License

MIT