bidda-shield 0.1.0

Bidda Compliance Intelligence SDK — LangChain, AutoGen, CrewAI integration

bidda-shield

Verified compliance intelligence for AI agents. Stop your LangChain, AutoGen, and CrewAI agents from hallucinating legal requirements.

pip install bidda-shield

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The problem

AI agents making decisions about hiring, credit scoring, data processing, or content moderation are operating under dozens of overlapping regulations — GDPR, EU AI Act, HIPAA, CCPA, Basel III. When an agent gets the legal logic wrong, it isn't just a bug. It's a regulatory liability event.

LLMs hallucinate regulations. bidda-shield doesn't.

Every compliance node in the Bidda registry traces to a specific clause of a primary legal instrument, verified against the source URL, and drift-checked weekly. No inference. No approximation.

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Quickstart

from bidda_shield import BiddaShield

shield = BiddaShield()

# Find the compliance node most relevant to your agent's action
result = shield.check_compliance("process biometric data for access control")
print(result["title"])   # EU AI Act Article 5 — Prohibited AI Practices
print(result["bluf"])    # Plain-English summary of the legal obligation

---

LangChain

from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from bidda_shield import BiddaLangChainTool

llm  = ChatOpenAI(model="gpt-4o")
tool = BiddaLangChainTool()

agent = initialize_agent(
    tools=[tool],
    llm=llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True,
)

agent.run(
    "My agent is about to make an automated credit decision. "
    "What regulations apply and what do they require?"
)

The tool returns the regulation title, domain, plain-English summary (BLUF), and a link to the full verified node — for $0.01 USDC per full unlock.

---

AutoGen

import autogen
from bidda_shield import BiddaAutoGenTool

config_list = [{"model": "gpt-4o", "api_key": "YOUR_OPENAI_KEY"}]

bidda_tool = BiddaAutoGenTool()

assistant = autogen.AssistantAgent(
    name="compliance_assistant",
    llm_config={
        "config_list": config_list,
        "functions": [bidda_tool.function_schema],
    },
)

user_proxy = autogen.UserProxyAgent(
    name="user",
    human_input_mode="NEVER",
    function_map={"bidda_compliance_lookup": bidda_tool.execute},
)

user_proxy.initiate_chat(
    assistant,
    message="What does GDPR Article 22 require for automated decision-making?",
)

---

CrewAI

from crewai import Agent, Task, Crew
from bidda_shield import BiddaCrewAITool

compliance_tool = BiddaCrewAITool()

compliance_officer = Agent(
    role="Chief Compliance Officer",
    goal="Ensure all AI agent actions comply with applicable regulations",
    backstory="Expert in GDPR, EU AI Act, HIPAA, and global data protection law.",
    tools=[compliance_tool],
    verbose=True,
)

task = Task(
    description="Review the agent action 'train a model on employee performance data' and identify all applicable regulations.",
    agent=compliance_officer,
)

crew = Crew(agents=[compliance_officer], tasks=[task])
crew.kickoff()

---

Direct API usage

from bidda_shield import BiddaShield

shield = BiddaShield()

# Search by keyword
nodes = shield.search_nodes("automated decision making")
for n in nodes:
    print(n["node_id"], "—", n["title"])

# Get a specific node (free discovery tier)
node = shield.get_node("gdpr-article-22-automated-decisions")
print(node["bluf"])

# Get full vault data (requires Skyfire JWT or USDC payment — $0.01)
shield_paid = BiddaShield(skyfire_token="YOUR_SKYFIRE_JWT")
full_node = shield_paid.get_node("gdpr-article-22-automated-decisions", vault=True)
print(full_node["deterministic_workflow"])  # Step-by-step legal compliance logic

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What's in a full node

Each vault-tier node contains:

• BLUF — plain-English summary of the legal obligation
• deterministic_workflow — step-by-step compliance checklist derived from the primary legal text
• actionable_schema — machine-readable compliance checkpoints
• primary_citations — exact section references to the legal instrument
• crosswalks — mappings to NIST, ISO, and peer standards
• dependencies — other regulations this one depends on or triggers
• verification — source URL, jurisdiction, instrument type, integrity hash

All content traces to a real primary legal source. No secondary commentary. No paraphrasing.

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Payment

• Discovery tier (free): node ID, title, domain, plain-English summary
• Vault tier ($0.01 USDC per node): full deterministic logic, citations, crosswalks, workflow

Pay with:

• Skyfire — pass a skyfire-pay-id bearer token (agent-native, no wallet required)
• L402 / Base USDC — send $0.01 to the Bidda Base wallet, pass the tx hash

# With Skyfire
shield = BiddaShield(skyfire_token=os.getenv("BIDDA_SKYFIRE_TOKEN"))

# With Base tx hash
shield = BiddaShield(base_tx_hash="0xYOUR_TRANSACTION_HASH")

---

Install options

# Core (no framework dependencies)
pip install bidda-shield

# With LangChain
pip install "bidda-shield[langchain]"

# With AutoGen
pip install "bidda-shield[autogen]"

# With CrewAI
pip install "bidda-shield[crewai]"

# Everything
pip install "bidda-shield[all]"

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Registry coverage

• 4,600+ verified nodes across 31 regulatory pillars
• Pillars: AI Governance, Cybersecurity, Banking & Finance, Healthcare, Legal & IP, ESG, Workplace, Aviation & Defense, Crypto, Cloud, and 21 more
• Jurisdictions: EU, US, UK, Germany, Australia, Singapore, South Africa, and global instruments
• Sources: EU AI Act, GDPR, NIST CSF, ISO 27001, Basel III/IV, HIPAA, DORA, NIS2, FATF, and 150+ authority bodies

Full registry: bidda.com/intelligence

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Links

• Registry: bidda.com
• API docs: bidda.com/developers
• MCP server: https://bidda.com/mcp (Claude.ai, Claude Desktop, any MCP client)
• Source: git.bidda.com/Bidda-Ai/bidda-shield
• Support: [e-mail]

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License

MIT — use freely, attribution appreciated.