agno-eydii

EYDII Verify tools and middleware for Agno — verify every agent action before execution.

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Why EYDII?

When AI agents act autonomously, you need a way to enforce rules that the agents themselves cannot override. EYDII sits between your agents and their actions — every sensitive operation is verified against your policies in real time, with a cryptographic proof trail. No more hoping the system prompt holds; Eydii gives you external, tamper-proof verification that works even when agents delegate to other agents.

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Install

pip install agno-eydii

This installs eydii_agno and its dependencies (veritera SDK and agno).

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Prerequisites: Create a Policy

Before using EYDII with Agno, create a policy that defines what your agents are allowed to do. You only need to do this once:

from veritera import Eydii

eydii = Eydii(api_key="vt_live_...")  # Get your key at id.veritera.ai

# Create a policy from code
eydii.create_policy_sync(
    name="finance-controls",
    description="Controls for multi-agent financial operations",
    rules=[
        {"type": "action_whitelist", "params": {"allowed": ["trade.execute", "refund.process", "report.generate"]}},
        {"type": "amount_limit", "params": {"max": 10000, "currency": "USD"}},
    ],
)

# Or generate one from plain English
eydii.generate_policy_sync(
    "Allow trades under $10,000, refund processing, and report generation. Block all account deletions and unauthorized data exports.",
    save=True,
)

A default policy is created automatically when you sign up — it blocks dangerous actions like database drops and admin overrides. You can use it immediately with policy="default".

Tip: pip install veritera to get the policy management SDK. See the full policy docs.

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Quick Start

import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from eydii_agno import EydiiVerifyTool

os.environ["VERITERA_API_KEY"] = "vt_live_..."
os.environ["OPENAI_API_KEY"] = "sk-..."

# 1. Create a EYDII verification tool
verify = EydiiVerifyTool(policy="finance-controls")  # create this policy first (see above) -- or use "default"

# 2. Give it to your agent
agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[verify],
    instructions=[
        "You are a financial analyst.",
        "ALWAYS verify actions through eydii_verify before executing them.",
    ],
)

# 3. Run the agent — every action is verified
agent.print_response("Process the refund for order #12345 for $500")

The agent calls eydii_verify before executing sensitive actions. If an action is denied, the agent receives a DENIED response and adjusts its plan.

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Three Integration Points

1. EydiiVerifyTool — Agent Tool for Explicit Verification

The most direct integration. Give agents a callable tool they can use to check whether an action is allowed.

from eydii_agno import EydiiVerifyTool
from agno.agent import Agent

tool = EydiiVerifyTool(
    policy="finance-controls",
    agent_id="analyst-bot",
    fail_closed=True,
)

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[tool],
)

How the agent uses it:

The agent calls eydii_verify(action="payment.create", params='{"amount": 500, "currency": "USD"}') and receives:

• APPROVED: Allowed | proof_id: fp_abc123 | latency: 42ms — proceed with the action.
• DENIED: Amount exceeds $200 limit | proof_id: fp_def456 | Do NOT proceed with this action. — the agent adjusts its plan.

Constructor parameters:

Parameter	Type	Default	Description
api_key	str	VERITERA_API_KEY env var	Your EYDII API key
base_url	str	https://veritera.ai	EYDII API endpoint
agent_id	str	"agno-agent"	Identifier in audit logs
policy	str	None	Policy set to evaluate against
fail_closed	bool	True	Deny when API is unreachable
timeout	float	10.0	Request timeout in seconds
skip_actions	list[str]	None	Actions to skip verification for
on_verified	Callable	None	Callback when action is approved
on_blocked	Callable	None	Callback when action is denied

2. eydii_wrap_tool() — Decorator for Pre-Execution Verification

Wraps any Agno tool function with automatic EYDII verification. The tool is only executed if Eydii approves the action.

from eydii_agno import eydii_wrap_tool
from agno.agent import Agent

@eydii_wrap_tool(policy="finance-controls")
def send_payment(amount: float, recipient: str) -> str:
    """Send a payment to a recipient."""
    return process_payment(amount, recipient)

@eydii_wrap_tool(policy="finance-controls")
def delete_record(record_id: str) -> str:
    """Delete a database record."""
    return db.delete(record_id)

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[send_payment, delete_record],
)

How it works:

1. The agent calls send_payment(amount=500, recipient="user@example.com").
2. The decorator intercepts the call and sends a verification request to EYDII with action=send_payment and the function parameters.
3. If Eydii approves, the original function executes normally.
4. If Eydii denies, the function is NOT called and a denial message is returned.

3. EydiiToolkit — Agno Toolkit Class

An Agno Toolkit that exposes verify_action and list_policies as tools the agent can call.

from eydii_agno import EydiiToolkit
from agno.agent import Agent

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    tools=[EydiiToolkit(policy="production-safety")],
    instructions=[
        "You are a production operations agent.",
        "Always verify actions before executing them.",
    ],
)

Tools provided:

• verify_action(action, params) — Verify an action against EYDII policies. Same behavior as EydiiVerifyTool.
• list_policies() — List available EYDII verification policies.

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Execute Receipts

For execution tracking and audit trails, use the Execute integration:

EydiiExecuteHook — Manual Receipt Emission

from eydii_agno import EydiiExecuteHook

hook = EydiiExecuteHook(task_id="task_abc...", agent_id="research-agent")

# Call whenever a tool is invoked
receipt = hook.on_tool_use("file_read")
# Returns: {"receipt_id": "rx_...", "chain_index": 1}

eydii_execute_wrapper — Automatic Receipt Emission

from eydii_agno import eydii_execute_wrapper

@eydii_execute_wrapper(task_id="task_abc...", agent_id="research-agent")
def send_payment(amount: float, recipient: str) -> str:
    """Send a payment to a recipient."""
    return process_payment(amount, recipient)

# Every successful call automatically emits a signed receipt

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Configuration Reference

Config	Source	Required	Example
API key	VERITERA_API_KEY env var or api_key= parameter	Yes	vt_live_abc123
Base URL	base_url= parameter	No	https://veritera.ai
Policy	policy= parameter	No (but recommended)	"finance-controls"
Agent ID	agent_id= parameter	No	"my-agno-agent"
Fail closed	fail_closed= parameter	No (default: True)	True or False
Timeout	timeout= parameter	No (default: 10.0)	30.0

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How It Works

┌─────────────────────────────────────────────────────────┐
│                   Your Agno Agent                        │
│                                                         │
│  ┌───────────────────────────────────────────────┐      │
│  │              Agent                            │      │
│  │  tools=[eydii_verify, send_payment, ...]      │      │
│  └──────────────────┬────────────────────────────┘      │
│                     │                                   │
│         ┌───────────┼───────────┐                       │
│         │           │           │                       │
│    ┌────▼────┐ ┌────▼────┐ ┌────▼────┐                 │
│    │ Verify  │ │ Wrapped │ │ Toolkit │                 │
│    │  Tool   │ │  Tool   │ │  Tools  │                 │
│    └────┬────┘ └────┬────┘ └────┬────┘                 │
│         │           │           │                       │
└─────────┼───────────┼───────────┼───────────────────────┘
          │           │           │
          ▼           ▼           ▼
    ┌─────────────────────────────────────────┐
    │            EYDII Verify API             │
    │                                         │
    │  Policy Engine  │  Audit Trail  │ Proof │
    └─────────────────────────────────────────┘

1. Agent calls tool — The verification tool sends a request to the EYDII API.
2. EYDII evaluates — The policy engine checks the action and parameters against your defined policies.
3. Result returned — APPROVED (with proof ID) or DENIED (with reason and proof ID).
4. Agent decides — On approval, the agent proceeds. On denial, the agent adjusts its plan.
5. Audit trail recorded — Every verification produces a proof_id linking to a permanent, tamper-proof record.

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Error Handling

The package handles three failure modes:

1. EYDII API Unreachable

Controlled by fail_closed:

# fail_closed=True (default) — deny when Eydii is down
tool = EydiiVerifyTool(policy="controls", fail_closed=True)
# Agent receives: "DENIED: Verification unavailable — ConnectionError(...). Action blocked (fail-closed)."

# fail_closed=False — allow when Eydii is down (use for non-critical paths)
tool = EydiiVerifyTool(policy="controls", fail_closed=False)

2. Invalid Parameters

If the agent passes malformed JSON as params, the tool wraps it safely:

# Agent calls: eydii_verify(action="test", params="not valid json")
# Tool parses it as: {"raw": "not valid json"} and proceeds with verification

3. Wrapped Tool Denials

When a wrapped tool is denied, the function is not called:

@eydii_wrap_tool(policy="finance-controls")
def send_payment(amount: float, recipient: str) -> str:
    return process_payment(amount, recipient)

# If denied: returns "DENIED: Action 'send_payment' blocked by EYDII: Amount exceeds limit"
# The process_payment function is never called

All errors are logged via Python's logging module under the eydii_agno logger:

import logging
logging.getLogger("eydii_agno").setLevel(logging.DEBUG)

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Environment Variables

Variable	Required	Description
VERITERA_API_KEY	Yes (unless passed via api_key=)	Your EYDII API key. Get one at id.veritera.ai/dashboard.
OPENAI_API_KEY	Yes (if using OpenAI models)	Your OpenAI key for the underlying language model.

You can also pass the API key directly to avoid environment variables:

tool = EydiiVerifyTool(api_key="vt_live_...", policy="my-policy")

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Other Eydii Integrations

Eydii works across the major agent frameworks. Use the same policies and audit trail regardless of which framework you choose.

Framework	Package	Install
CrewAI	crewai-eydii	pip install crewai-eydii
OpenAI Agents SDK	openai-eydii	pip install openai-eydii
LangGraph	langgraph-eydii	pip install langgraph-eydii
LlamaIndex	llamaindex-eydii	pip install llamaindex-eydii
Python SDK	veritera	pip install veritera
JavaScript SDK	@veritera/sdk	npm install veritera

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Resources

• Eydii Documentation
• Eydii Dashboard
• Policy Configuration Guide
• Agno Documentation

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License

MIT — Eydii by Veritera AI