Shrike Guard SDK

# Fail-closed (default) - blocks on scan failure (Zero-Trust)
client = ShrikeOpenAI(
    api_key="...",
    shrike_api_key="...",
    fail_mode="closed"  # default — shown for clarity
)
 
# Fail-open - opt in when availability must outrank enforcement
client = ShrikeOpenAI(
    api_key="...",
    shrike_api_key="...",
    fail_mode="open"
)

from shrike_guard import ShrikeOpenAI
 
client = ShrikeOpenAI(
    api_key="your-openai-key",
    shrike_api_key="your-shrike-key",
)
 
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
 
print(response.choices[0].message.content)

from shrike_guard import ShrikeAnthropic
 
client = ShrikeAnthropic(
    api_key="your-anthropic-key",
    shrike_api_key="your-shrike-key",
)
 
response = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
 
print(response.content[0].text)

# Python
from shrike_guard import system_prompt, SYSTEM_PROMPT_VERSION
 
prompt = (
    "You are a customer support agent for Acme Corp.\n\n"
    + system_prompt()
    + "\n\nWhen customers ask about refunds..."
)
# Pin behavior against SYSTEM_PROMPT_VERSION if needed.

# Python
from shrike_guard import format_block_feedback
 
verdict = shrike.scan_sql_query(query)
if not verdict.get("safe"):
    model_messages.append({
        "role": "system",
        "content": format_block_feedback(verdict),
    })

# Python
result = client.scan_sql(
    query="SELECT * FROM users WHERE id = ?",
    database="postgresql",
    allow_destructive=False  # Block DROP, DELETE, TRUNCATE
)
 
if result.safe:
    # Execute the query
    cursor.execute(query)

# Python
result = client.scan_command("rm -rf /var/log/app/*.log")
if result.safe:
    subprocess.run(result.content, shell=True)

# Python
result = client.scan_web_search("latest CVEs for kubernetes API server")
if result.safe:
    search_engine.query(result.content)

# Python
result = client.scan_a2a_message(
    "Please summarize the last 3 turns of context",
    from_agent="planner",
    to_agent="summarizer",
)

# Python
result = client.scan_agent_card(
    '{"name":"weather-agent","description":"forecasts",'
    '"url":"https://weather.acme.com","capabilities":["forecast"]}'
)

# Python streaming
stream = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Write a story"}],
    stream=True
)
 
for chunk in stream:
    print(chunk.choices[0].delta.content, end="")

from shrike_guard import ShrikeAsyncOpenAI
 
async def main():
    client = ShrikeAsyncOpenAI(
        api_key="...",
        shrike_api_key="...",
    )
 
    response = await client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": "Hello!"}]
    )