Implement Client Vetting Agent

Implement the 'Client Vetting Agent' using the OpenAI Agents SDK. This agent should be capable of: 
1. Receiving client information (refer to `SimulatedClientVetting` input_format). 
2. Calling a mock enterprise API to 'verify identity' and 'check financial history'. 
3. Querying Weaviate for stored compliance rules and past client flags. 
4. Making a decision on client approval and identifying any compliance flags. 

Ensure secure handling of mock data and demonstrate tool use within the OpenAI Agents SDK. Include basic agent initialization like:

```python
from openai import OpenAI

client = OpenAI()
assistant = client.beta.assistants.create(
    name="ClientVettingAgent",
    instructions="You are an expert financial compliance officer. Your role is to vet new clients and ensure they meet all regulatory requirements.",
    model="gpt-4o",
    tools=[
        {"type": "function", "function": {"name": "verify_identity", "description": "Verify client identity...", "parameters": {}}},
        {"type": "function", "function": {"name": "check_financial_history", "description": "Check client's financial background...", "parameters": {}}}
    ]
)
```