diff --git a/examples/llm_audit_trail.py b/examples/llm_audit_trail.py
new file mode 100644
index 0000000..0aa1d75
--- /dev/null
+++ b/examples/llm_audit_trail.py
@@ -0,0 +1,132 @@
+"""
+TEE Signature Audit Trail example.
+
+Usage:
+    export OG_PRIVATE_KEY="your_private_key"
+    python examples/llm_audit_trail.py
+"""
+
+import asyncio
+import hashlib
+import json
+import os
+from dataclasses import asdict, dataclass
+from datetime import datetime, timezone
+from typing import Optional
+
+import opengradient as og
+
+
+@dataclass
+class AuditEntry:
+    turn: int
+    timestamp_utc: str
+    model: str
+    prompt: str
+    response: str
+    transaction_hash: str
+    tee_id: Optional[str]
+    tee_signature: Optional[str]
+    tee_timestamp: Optional[str]
+    tee_payment_address: Optional[str]
+    content_hash: str
+
+
+def compute_content_hash(prompt: str, response: str) -> str:
+    raw = (prompt + "||" + response).encode("utf-8")
+    return hashlib.sha256(raw).hexdigest()
+
+
+def build_audit_entry(turn, model, prompt, result):
+    response = result.chat_output.get("content", "") if result.chat_output else ""
+    return AuditEntry(
+        turn=turn,
+        timestamp_utc=datetime.now(timezone.utc).isoformat(),
+        model=model.value,
+        prompt=prompt,
+        response=response,
+        transaction_hash=result.transaction_hash,
+        tee_id=result.tee_id,
+        tee_signature=result.tee_signature,
+        tee_timestamp=result.tee_timestamp,
+        tee_payment_address=result.tee_payment_address,
+        content_hash=compute_content_hash(prompt, response),
+    )
+
+
+def print_audit_entry(entry):
+    print("-" * 60)
+    print("  Turn             : " + str(entry.turn))
+    print("  Model            : " + entry.model)
+    print("  Prompt           : " + entry.prompt)
+    preview = entry.response[:120] + ("..." if len(entry.response) > 120 else "")
+    print("  Response         : " + preview)
+    print("  Content hash     : " + entry.content_hash)
+    print("  Transaction hash : " + entry.transaction_hash)
+    print("  TEE ID           : " + (entry.tee_id or "n/a"))
+    print("  TEE timestamp    : " + (entry.tee_timestamp or "n/a"))
+    print("  TEE signature    : " + ("present" if entry.tee_signature else "not returned"))
+
+
+def save_audit_log(entries, path="audit_log.json"):
+    with open(path, "w", encoding="utf-8") as f:
+        json.dump([asdict(e) for e in entries], f, indent=2)
+    print("Audit log saved -> " + path)
+
+
+def verify_audit_log(path="audit_log.json"):
+    with open(path, encoding="utf-8") as f:
+        entries = json.load(f)
+    print("Verifying " + str(len(entries)) + " entries...")
+    all_ok = True
+    for e in entries:
+        expected = compute_content_hash(e["prompt"], e["response"])
+        ok = expected == e["content_hash"]
+        print("  Turn " + str(e["turn"]) + ": " + ("OK" if ok else "TAMPERED"))
+        if not ok:
+            all_ok = False
+    return all_ok
+
+
+async def main():
+    private_key = os.environ.get("OG_PRIVATE_KEY")
+    if not private_key:
+        raise ValueError("OG_PRIVATE_KEY environment variable is not set.")
+
+    llm = og.LLM(private_key=private_key)
+    llm.ensure_opg_approval(min_allowance=0.5)
+
+    model = og.TEE_LLM.GEMINI_2_5_FLASH
+    audit_log = []
+
+    prompts = [
+        "What is a Trusted Execution Environment?",
+        "How does cryptographic attestation work?",
+        "Why does verifiable AI matter for DeFi?",
+    ]
+
+    print("Model : " + model.value)
+    print("Turns : " + str(len(prompts)))
+
+    for i, prompt in enumerate(prompts, 1):
+        print("\n[Turn " + str(i) + "] " + prompt)
+        result = await llm.chat(
+            model=model,
+            messages=[{"role": "user", "content": prompt}],
+            max_tokens=300,
+            temperature=0.0,
+            x402_settlement_mode=og.x402SettlementMode.INDIVIDUAL_FULL,
+        )
+        entry = build_audit_entry(i, model, prompt, result)
+        audit_log.append(entry)
+        print_audit_entry(entry)
+
+    save_audit_log(audit_log)
+    intact = verify_audit_log()
+    result_str = "PASS" if intact else "FAIL"
+    print("Audit complete - integrity: " + result_str)
+    print("Verify at: https://explorer.opengradient.ai")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())