fix example

Author: balogh.adam@icloud.com

examples/llm_multi_turn_conversation.py

@@ -52,8 +52,10 @@ async def chat_turn(
         max_tokens=500,
         temperature=0.7,
     )
+    assert isinstance(result, og.TextGenerationOutput)
 
-    reply = result.chat_output["content"]
+    assert result.chat_output is not None
+    reply = str(result.chat_output["content"])
     history = add_assistant_message(history, reply)
 
     return reply, history, result.transaction_hash
@@ -76,10 +78,7 @@ async def main():
     history = [
         {
             "role": "system",
-            "content": (
-                "You are a concise Python tutor. "
-                "Give short, clear answers with code examples when helpful."
-            ),
+            "content": ("You are a concise Python tutor. Give short, clear answers with code examples when helpful."),
         }
     ]
 

src/opengradient/agents/og_langchain.py

@@ -125,10 +125,7 @@ def _validate_model_string(model: Union[TEE_LLM, str]) -> Union[TEE_LLM, str]:
     else:
         model_str = str(model)
     if "/" not in model_str:
-        raise ValueError(
-            f"Unsupported model value '{model_str}'. "
-            "Expected provider/model format (for example: 'openai/gpt-5')."
-        )
+        raise ValueError(f"Unsupported model value '{model_str}'. Expected provider/model format (for example: 'openai/gpt-5').")
     return model
 
 
@@ -372,10 +369,7 @@ def _stream(
         except RuntimeError:
             pass
         else:
-            raise RuntimeError(
-                "Synchronous stream cannot run inside an active event loop for this adapter. "
-                "Use `astream` instead."
-            )
+            raise RuntimeError("Synchronous stream cannot run inside an active event loop for this adapter. Use `astream` instead.")
 
         loop = asyncio.new_event_loop()
         try:

src/opengradient/client/alpha.py

@@ -462,4 +462,3 @@ def read_workflow_history(self, contract_address: str, num_results: int) -> List
 
         results = contract.functions.getLastInferenceResults(num_results).call()
         return [convert_array_to_model_output(result) for result in results]
-

src/opengradient/client/opg_token.py

@@ -222,4 +222,3 @@ def ensure_opg_approval(
         approve_base,
     )
     return _send_approve_tx(wallet_account, w3, token, owner, spender, approve_base)
-