mirror of https://github.com/kortix-ai/suna.git
wip
This commit is contained in:
marko-kraemer
parent
f29455d44e
commit
58ec53e4a5
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@ -58,7 +58,7 @@ Current development environment workspace state:
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llm_model=model_name,
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llm_temperature=0.1,
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llm_max_tokens=8000,
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tool_choice="any",
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tool_choice="auto",
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processor_config=ProcessorConfig(
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xml_tool_calling=False,
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native_tool_calling=True,
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@ -101,9 +101,7 @@ async def test_agent():
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print(f"Error creating thread: {str(e)}")
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return
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print("\n" + "="*50)
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print(f"🤖 Agent Thread Created: {thread_id}")
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print("="*50 + "\n")
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print(f"\n🤖 Agent Thread Created: {thread_id}\n")
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# Interactive message input loop
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while True:
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@ -123,10 +121,7 @@ async def test_agent():
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is_llm_message=True
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)
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# Run the agent and print results
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print("\n" + "="*50)
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print("🔄 Running agent...")
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print("="*50 + "\n")
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print("\n🔄 Running agent...\n")
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chunk_counter = 0
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current_response = ""
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@ -135,65 +130,75 @@ async def test_agent():
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async for chunk in run_agent(thread_id=thread_id, stream=True, thread_manager=thread_manager, native_max_auto_continues=25):
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chunk_counter += 1
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if chunk.get('type') == 'content':
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current_response += chunk['content']
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if chunk.get('type') == 'content' and 'content' in chunk:
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current_response += chunk.get('content', '')
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# Print the response as it comes in
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print(chunk['content'], end='', flush=True)
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print(chunk.get('content', ''), end='', flush=True)
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elif chunk.get('type') == 'tool_result':
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print("\n\n" + "="*50)
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print(f"🛠️ Tool Result: {chunk.get('function_name', 'Unknown Tool')}")
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print(f"📝 {chunk.get('result', chunk)}")
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print("="*50 + "\n")
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elif chunk.get('type') == 'tool_call_chunk':
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# Add timestamp and format tool result nicely
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tool_name = chunk.get('function_name', 'Tool')
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result = chunk.get('result', '')
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print(f"\n\n🛠️ TOOL RESULT [{tool_name}] → {result}")
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elif chunk.get('type') == 'tool_call':
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# Display native tool call chunks as they arrive
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tool_call = chunk.get('tool_call', {})
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# Check if it's a meaningful part of the tool call to display
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if tool_call.get('function', {}).get('arguments'):
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args = tool_call.get('function', {}).get('arguments', '')
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args = tool_call.get('function', {}).get('arguments', '')
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# Only show when we have substantial arguments or a function name
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should_display = (
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len(args) > 3 or # More than just '{}'
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tool_call.get('function', {}).get('name') # Or we have a name
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)
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if should_display:
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tool_call_counter += 1
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tool_name = tool_call.get('function', {}).get('name', 'Building...')
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# Only show when we have substantial arguments or a function name
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should_display = (
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len(args) > 3 or # More than just '{}'
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tool_call.get('function', {}).get('name') # Or we have a name
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)
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# Print tool call header with counter and tool name
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print(f"\n🔧 TOOL CALL #{tool_call_counter} [{tool_name}]")
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if should_display:
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tool_call_counter += 1
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print("\n" + "-"*50)
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print(f"🔧 Tool Call #{tool_call_counter}: {tool_call.get('function', {}).get('name', 'Building...')}")
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# Try to parse and pretty print the arguments if they're JSON
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try:
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# Check if it's complete JSON or just a fragment
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if args.strip().startswith('{') and args.strip().endswith('}'):
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args_obj = json.loads(args)
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print(f"📋 Arguments: {json.dumps(args_obj, indent=2)}")
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else:
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print(f"📋 Arguments (partial): {args}")
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except json.JSONDecodeError:
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print(f"📋 Arguments (building): {args}")
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print("-"*50)
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# Return to the current content display
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if current_response:
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print("\nContinuing response:", flush=True)
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print(current_response, end='', flush=True)
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# Try to parse and pretty print the arguments if they're JSON
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try:
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# Check if it's complete JSON or just a fragment
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if args.strip().startswith('{') and args.strip().endswith('}'):
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args_obj = json.loads(args)
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# Only print non-empty args to reduce clutter
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if args_obj and args_obj != {}:
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# Format JSON with nice indentation and color indicators for readability
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print(f" ARGS: {json.dumps(args_obj, indent=2)}")
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else:
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# Only print if there's actual content to show
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if args.strip():
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print(f" ARGS: {args}")
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except json.JSONDecodeError:
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if args.strip():
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print(f" ARGS: {args}")
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# Add a separator for visual clarity
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print(" " + "-" * 40)
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# Return to the current content display
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if current_response:
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print("\nContinuing response:", flush=True)
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print(current_response, end='', flush=True)
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elif chunk.get('type') == 'tool_status':
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# Log tool status changes
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status = chunk.get('status', '')
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function_name = chunk.get('function_name', '')
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if status and function_name:
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status_emoji = "✅" if status == "completed" else "⏳" if status == "started" else "❌"
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print(f"\n{status_emoji} TOOL {status.upper()}: {function_name}")
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elif chunk.get('type') == 'finish':
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# Just log finish reason to console but don't show to user
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finish_reason = chunk.get('finish_reason', 'unknown')
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print(f"\n[Debug] Received finish_reason: {finish_reason}")
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finish_reason = chunk.get('finish_reason', '')
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if finish_reason:
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print(f"\n📌 Finished: {finish_reason}")
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print("\n" + "="*50)
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print(f"✅ Agent completed. Processed {chunk_counter} chunks.")
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if tool_call_counter > 0:
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print(f"🔧 Found {tool_call_counter} native tool calls.")
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print("="*50 + "\n")
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print(f"\n\n✅ Agent run completed with {tool_call_counter} tool calls")
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print("\n" + "="*50)
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print("👋 Test completed. Goodbye!")
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print("="*50 + "\n")
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print("\n👋 Test completed. Goodbye!")
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if __name__ == "__main__":
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import asyncio
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@ -3,17 +3,18 @@
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Modern Website</title>
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<title>Creative Design Studio</title>
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<link rel="stylesheet" href="styles.css">
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</head>
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<body>
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<header>
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<nav>
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<div class="logo">MyWebsite</div>
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<ul class="nav-links">
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<div class="logo">Creative Studio</div>
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<ul>
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<li><a href="#home">Home</a></li>
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<li><a href="#about">About</a></li>
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<li><a href="#services">Services</a></li>
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<li><a href="#about">About</a></li>
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<li><a href="#portfolio">Portfolio</a></li>
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<li><a href="#contact">Contact</a></li>
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</ul>
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</nav>
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@ -21,49 +22,104 @@
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<main>
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<section id="home" class="hero">
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<h1>Welcome to Our Website</h1>
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<p>Discover amazing content and services</p>
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<button class="cta-button">Get Started</button>
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<h1>Welcome to Creative Design Studio</h1>
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<p class="tagline">We bring your digital dreams to life</p>
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<a href="#contact" class="cta-button">Get Started</a>
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</section>
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<section id="about" class="about">
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<h2>About Us</h2>
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<p>We are a passionate team dedicated to creating amazing web experiences.</p>
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</section>
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<section id="services" class="services">
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<section id="services">
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<h2>Our Services</h2>
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<div class="service-cards">
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<div class="card">
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<div class="services-grid">
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<div class="service-card">
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<h3>Web Design</h3>
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<p>Beautiful and responsive websites</p>
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<p>Beautiful, responsive websites that engage your audience</p>
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</div>
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<div class="card">
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<h3>Development</h3>
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<p>Custom web applications</p>
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<div class="service-card">
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<h3>Branding</h3>
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<p>Unique brand identity that sets you apart</p>
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</div>
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<div class="card">
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<h3>SEO</h3>
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<p>Search engine optimization</p>
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<div class="service-card">
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<h3>Digital Marketing</h3>
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<p>Strategic campaigns that drive results</p>
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</div>
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</div>
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</section>
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<section id="contact" class="contact">
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<section id="about">
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<h2>About Us</h2>
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<div class="about-content">
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<p>We are a passionate team of designers and developers dedicated to creating exceptional digital experiences. With years of experience in the industry, we understand what it takes to make your brand stand out.</p>
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<div class="stats">
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<div class="stat-item">
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<span class="number">100+</span>
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<span class="label">Projects Completed</span>
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</div>
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<div class="stat-item">
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<span class="number">50+</span>
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<span class="label">Happy Clients</span>
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</div>
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<div class="stat-item">
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<span class="number">5+</span>
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<span class="label">Years Experience</span>
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</div>
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</div>
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</div>
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</section>
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<section id="portfolio">
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<h2>Our Work</h2>
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<div class="portfolio-grid">
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<div class="portfolio-item">Project 1</div>
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<div class="portfolio-item">Project 2</div>
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<div class="portfolio-item">Project 3</div>
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<div class="portfolio-item">Project 4</div>
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</div>
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</section>
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<section id="contact">
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<h2>Contact Us</h2>
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<form id="contact-form">
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<input type="text" placeholder="Name" required>
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<input type="email" placeholder="Email" required>
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<textarea placeholder="Your message" required></textarea>
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<button type="submit">Send Message</button>
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</form>
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<div class="contact-container">
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<form class="contact-form">
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<input type="text" placeholder="Your Name" required>
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<input type="email" placeholder="Your Email" required>
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<textarea placeholder="Your Message" required></textarea>
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<button type="submit" class="submit-button">Send Message</button>
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</form>
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<div class="contact-info">
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<p>Email: info@creativestudio.com</p>
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<p>Phone: (555) 123-4567</p>
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<p>Address: 123 Creative Street, Design City</p>
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</div>
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</div>
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</section>
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</main>
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<footer>
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<p>© 2024 MyWebsite. All rights reserved.</p>
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<div class="footer-content">
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<div class="footer-section">
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<h4>Creative Studio</h4>
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<p>Creating digital excellence since 2019</p>
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</div>
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<div class="footer-section">
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<h4>Quick Links</h4>
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<ul>
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<li><a href="#home">Home</a></li>
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<li><a href="#services">Services</a></li>
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<li><a href="#portfolio">Portfolio</a></li>
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</ul>
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</div>
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<div class="footer-section">
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<h4>Connect With Us</h4>
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<div class="social-links">
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<a href="#">Facebook</a>
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<a href="#">Twitter</a>
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<a href="#">Instagram</a>
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</div>
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</div>
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</div>
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<div class="footer-bottom">
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<p>© 2024 Creative Design Studio. All rights reserved.</p>
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</div>
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</footer>
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<script src="script.js"></script>
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</body>
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</html>
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@ -1,73 +0,0 @@
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// Smooth scrolling for navigation links
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document.querySelectorAll('a[href^="#"]').forEach(anchor => {
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anchor.addEventListener('click', function (e) {
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e.preventDefault();
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document.querySelector(this.getAttribute('href')).scrollIntoView({
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behavior: 'smooth'
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});
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});
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});
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// Form submission handling
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const contactForm = document.getElementById('contact-form');
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if (contactForm) {
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contactForm.addEventListener('submit', function(e) {
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e.preventDefault();
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// Get form data
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const formData = new FormData(this);
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const formObject = {};
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formData.forEach((value, key) => formObject[key] = value);
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// Here you would typically send the form data to a server
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console.log('Form submitted:', formObject);
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// Show success message
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alert('Thank you for your message! We will get back to you soon.');
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this.reset();
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});
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}
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// Add animation on scroll for cards
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const cards = document.querySelectorAll('.card');
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const animateOnScroll = (entries) => {
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entries.forEach(entry => {
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if (entry.isIntersecting) {
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entry.target.style.opacity = 1;
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entry.target.style.transform = 'translateY(0)';
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}
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});
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}
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const observer = new IntersectionObserver(animateOnScroll, {
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threshold: 0.1
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});
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cards.forEach(card => {
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card.style.opacity = 0;
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card.style.transform = 'translateY(20px)';
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card.style.transition = 'all 0.5s ease-out';
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observer.observe(card);
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});
|
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|
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// Add active state to navigation links based on scroll position
|
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window.addEventListener('scroll', () => {
|
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const sections = document.querySelectorAll('section');
|
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const navLinks = document.querySelectorAll('.nav-links a');
|
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|
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let current = '';
|
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|
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sections.forEach(section => {
|
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const sectionTop = section.offsetTop;
|
||||
if (window.pageYOffset >= sectionTop - 60) {
|
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current = section.getAttribute('id');
|
||||
}
|
||||
});
|
||||
|
||||
navLinks.forEach(link => {
|
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link.classList.remove('active');
|
||||
if (link.getAttribute('href') === `#${current}`) {
|
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link.classList.add('active');
|
||||
}
|
||||
});
|
||||
});
|
||||
|
|
@ -1,4 +1,4 @@
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/* Reset and base styles */
|
||||
/* Reset and Base Styles */
|
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* {
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margin: 0;
|
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padding: 0;
|
||||
|
|
@ -13,7 +13,7 @@ body {
|
|||
|
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/* Navigation */
|
||||
header {
|
||||
background-color: #fff;
|
||||
background: #fff;
|
||||
box-shadow: 0 2px 5px rgba(0,0,0,0.1);
|
||||
position: fixed;
|
||||
width: 100%;
|
||||
|
|
@ -33,45 +33,37 @@ nav {
|
|||
.logo {
|
||||
font-size: 1.5rem;
|
||||
font-weight: bold;
|
||||
color: #333;
|
||||
color: #2c3e50;
|
||||
}
|
||||
|
||||
.nav-links {
|
||||
nav ul {
|
||||
display: flex;
|
||||
list-style: none;
|
||||
gap: 2rem;
|
||||
}
|
||||
|
||||
.nav-links li {
|
||||
margin-left: 2rem;
|
||||
}
|
||||
|
||||
.nav-links a {
|
||||
nav a {
|
||||
text-decoration: none;
|
||||
color: #333;
|
||||
transition: color 0.3s;
|
||||
color: #2c3e50;
|
||||
font-weight: 500;
|
||||
transition: color 0.3s ease;
|
||||
}
|
||||
|
||||
.nav-links a:hover {
|
||||
color: #007bff;
|
||||
nav a:hover {
|
||||
color: #3498db;
|
||||
}
|
||||
|
||||
/* Main content */
|
||||
main {
|
||||
margin-top: 60px;
|
||||
}
|
||||
|
||||
section {
|
||||
padding: 4rem 5%;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
/* Hero section */
|
||||
/* Hero Section */
|
||||
.hero {
|
||||
height: 100vh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
text-align: center;
|
||||
padding: 6rem 5%;
|
||||
background: linear-gradient(135deg, #6366f1, #a855f7);
|
||||
background: linear-gradient(135deg, #6c5ce7, #a363d9);
|
||||
color: white;
|
||||
padding: 0 1rem;
|
||||
}
|
||||
|
||||
.hero h1 {
|
||||
|
|
@ -79,109 +71,231 @@ section {
|
|||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.hero p {
|
||||
font-size: 1.2rem;
|
||||
.tagline {
|
||||
font-size: 1.5rem;
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
|
||||
.cta-button {
|
||||
padding: 1rem 2rem;
|
||||
font-size: 1.1rem;
|
||||
background-color: white;
|
||||
color: #333;
|
||||
border: none;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
transition: transform 0.3s;
|
||||
background: #fff;
|
||||
color: #6c5ce7;
|
||||
text-decoration: none;
|
||||
border-radius: 30px;
|
||||
font-weight: bold;
|
||||
transition: transform 0.3s ease;
|
||||
}
|
||||
|
||||
.cta-button:hover {
|
||||
transform: translateY(-2px);
|
||||
transform: translateY(-3px);
|
||||
}
|
||||
|
||||
/* Services section */
|
||||
.service-cards {
|
||||
/* Services Section */
|
||||
#services {
|
||||
padding: 5rem 1rem;
|
||||
background: #f9f9f9;
|
||||
}
|
||||
|
||||
.services-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
||||
gap: 2rem;
|
||||
margin-top: 2rem;
|
||||
max-width: 1200px;
|
||||
margin: 2rem auto;
|
||||
}
|
||||
|
||||
.card {
|
||||
.service-card {
|
||||
background: white;
|
||||
padding: 2rem;
|
||||
background-color: white;
|
||||
border-radius: 10px;
|
||||
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
|
||||
transition: transform 0.3s;
|
||||
box-shadow: 0 3px 10px rgba(0,0,0,0.1);
|
||||
transition: transform 0.3s ease;
|
||||
}
|
||||
|
||||
.card:hover {
|
||||
.service-card:hover {
|
||||
transform: translateY(-5px);
|
||||
}
|
||||
|
||||
/* Contact form */
|
||||
.contact {
|
||||
background-color: #f8f9fa;
|
||||
/* About Section */
|
||||
#about {
|
||||
padding: 5rem 1rem;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
#contact-form {
|
||||
.about-content {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 3rem;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.stats {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(3, 1fr);
|
||||
gap: 2rem;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.stat-item .number {
|
||||
font-size: 2.5rem;
|
||||
font-weight: bold;
|
||||
color: #6c5ce7;
|
||||
display: block;
|
||||
}
|
||||
|
||||
/* Portfolio Section */
|
||||
#portfolio {
|
||||
padding: 5rem 1rem;
|
||||
background: #f9f9f9;
|
||||
}
|
||||
|
||||
.portfolio-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
||||
gap: 2rem;
|
||||
max-width: 1200px;
|
||||
margin: 2rem auto;
|
||||
}
|
||||
|
||||
.portfolio-item {
|
||||
height: 250px;
|
||||
background: #ddd;
|
||||
border-radius: 10px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
font-weight: bold;
|
||||
cursor: pointer;
|
||||
transition: transform 0.3s ease;
|
||||
}
|
||||
|
||||
.portfolio-item:hover {
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
/* Contact Section */
|
||||
#contact {
|
||||
padding: 5rem 1rem;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.contact-container {
|
||||
display: grid;
|
||||
grid-template-columns: 2fr 1fr;
|
||||
gap: 3rem;
|
||||
}
|
||||
|
||||
.contact-form {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
max-width: 600px;
|
||||
margin: 2rem auto;
|
||||
gap: 1rem;
|
||||
}
|
||||
|
||||
#contact-form input,
|
||||
#contact-form textarea {
|
||||
padding: 0.8rem;
|
||||
.contact-form input,
|
||||
.contact-form textarea {
|
||||
padding: 1rem;
|
||||
border: 1px solid #ddd;
|
||||
border-radius: 5px;
|
||||
font-size: 1rem;
|
||||
}
|
||||
|
||||
#contact-form textarea {
|
||||
.contact-form textarea {
|
||||
height: 150px;
|
||||
resize: vertical;
|
||||
}
|
||||
|
||||
#contact-form button {
|
||||
.submit-button {
|
||||
padding: 1rem;
|
||||
background-color: #007bff;
|
||||
background: #6c5ce7;
|
||||
color: white;
|
||||
border: none;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
transition: background-color 0.3s;
|
||||
font-size: 1rem;
|
||||
transition: background 0.3s ease;
|
||||
}
|
||||
|
||||
#contact-form button:hover {
|
||||
background-color: #0056b3;
|
||||
.submit-button:hover {
|
||||
background: #5849c2;
|
||||
}
|
||||
|
||||
/* Footer */
|
||||
footer {
|
||||
text-align: center;
|
||||
padding: 2rem;
|
||||
background-color: #333;
|
||||
background: #2c3e50;
|
||||
color: white;
|
||||
padding: 3rem 1rem 1rem;
|
||||
}
|
||||
|
||||
/* Responsive design */
|
||||
.footer-content {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
||||
gap: 2rem;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.footer-section h4 {
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.footer-section ul {
|
||||
list-style: none;
|
||||
}
|
||||
|
||||
.footer-section a {
|
||||
color: white;
|
||||
text-decoration: none;
|
||||
margin-bottom: 0.5rem;
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
.social-links {
|
||||
display: flex;
|
||||
gap: 1rem;
|
||||
}
|
||||
|
||||
.footer-bottom {
|
||||
text-align: center;
|
||||
margin-top: 2rem;
|
||||
padding-top: 1rem;
|
||||
border-top: 1px solid rgba(255,255,255,0.1);
|
||||
}
|
||||
|
||||
/* Common Section Styles */
|
||||
section {
|
||||
padding: 4rem 1rem;
|
||||
}
|
||||
|
||||
h2 {
|
||||
text-align: center;
|
||||
margin-bottom: 2rem;
|
||||
color: #2c3e50;
|
||||
}
|
||||
|
||||
/* Responsive Design */
|
||||
@media (max-width: 768px) {
|
||||
.nav-links {
|
||||
display: none;
|
||||
nav {
|
||||
flex-direction: column;
|
||||
gap: 1rem;
|
||||
}
|
||||
|
||||
|
||||
nav ul {
|
||||
flex-direction: column;
|
||||
text-align: center;
|
||||
gap: 1rem;
|
||||
}
|
||||
|
||||
.hero h1 {
|
||||
font-size: 2rem;
|
||||
}
|
||||
|
||||
.hero p {
|
||||
font-size: 1rem;
|
||||
|
||||
.about-content,
|
||||
.contact-container {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
section {
|
||||
padding: 2rem 5%;
|
||||
|
||||
.stats {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
}
|
||||
|
|
@ -208,7 +208,7 @@ class ResponseProcessor:
|
|||
|
||||
# Yield the chunk data
|
||||
yield {
|
||||
"type": "tool_call_chunk",
|
||||
"type": "content",
|
||||
"tool_call": tool_call_data
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,193 @@
|
|||
"""
|
||||
Raw streaming test to analyze tool call streaming behavior.
|
||||
|
||||
This script specifically tests how raw streaming chunks are delivered from the Anthropic API
|
||||
with tool calls containing large JSON payloads.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import sys
|
||||
import os
|
||||
from typing import Dict, Any
|
||||
|
||||
from anthropic import AsyncAnthropic
|
||||
from utils.logger import logger
|
||||
|
||||
# Example tool schema for Anthropic format
|
||||
CREATE_FILE_TOOL = {
|
||||
"name": "create_file",
|
||||
"description": "Create a new file with the provided contents at a given path in the workspace",
|
||||
"input_schema": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"file_path": {
|
||||
"type": "string",
|
||||
"description": "Path to the file to be created"
|
||||
},
|
||||
"file_contents": {
|
||||
"type": "string",
|
||||
"description": "The content to write to the file"
|
||||
}
|
||||
},
|
||||
"required": ["file_path", "file_contents"]
|
||||
}
|
||||
}
|
||||
|
||||
async def test_raw_streaming():
|
||||
"""Test tool calling with streaming to observe raw chunk behavior using Anthropic SDK directly."""
|
||||
# Setup conversation with a prompt likely to generate large file payloads
|
||||
messages = [
|
||||
{"role": "user", "content": "Create a CSS file with a comprehensive set of styles for a modern responsive website."}
|
||||
]
|
||||
|
||||
print("\n=== Testing Raw Streaming Tool Call Behavior ===\n")
|
||||
|
||||
try:
|
||||
# Get API key from environment
|
||||
api_key = os.environ.get("ANTHROPIC_API_KEY")
|
||||
if not api_key:
|
||||
logger.error("ANTHROPIC_API_KEY environment variable not set")
|
||||
return
|
||||
|
||||
# Initialize Anthropic client
|
||||
client = AsyncAnthropic(api_key=api_key)
|
||||
|
||||
# Make API call with tool in streaming mode
|
||||
print("Sending streaming request...")
|
||||
stream = await client.messages.create(
|
||||
model="claude-3-5-sonnet-latest",
|
||||
max_tokens=4096,
|
||||
temperature=0.0,
|
||||
system="You are a helpful assistant with access to file management tools.",
|
||||
messages=messages,
|
||||
tools=[CREATE_FILE_TOOL],
|
||||
tool_choice={"type": "tool", "name": "create_file"},
|
||||
stream=True
|
||||
)
|
||||
|
||||
# Process streaming response
|
||||
print("\nResponse stream started. Processing raw chunks:\n")
|
||||
|
||||
# Stream statistics
|
||||
chunk_count = 0
|
||||
tool_call_chunks = 0
|
||||
accumulated_tool_input = ""
|
||||
current_tool_name = None
|
||||
accumulated_content = ""
|
||||
|
||||
# Process each chunk with ZERO buffering
|
||||
print("\n--- BEGINNING STREAM OUTPUT ---\n", flush=True)
|
||||
sys.stdout.flush()
|
||||
|
||||
# Process each event in the stream
|
||||
async for event in stream:
|
||||
chunk_count += 1
|
||||
|
||||
# Immediate debug output for every chunk
|
||||
print(f"\n[CHUNK {chunk_count}] Type: {event.type}", end="", flush=True)
|
||||
sys.stdout.flush()
|
||||
|
||||
# Process based on event type
|
||||
if event.type == "message_start":
|
||||
print(f" Message ID: {event.message.id}", end="", flush=True)
|
||||
|
||||
elif event.type == "content_block_start":
|
||||
print(f" Content block start: {event.content_block.type}", end="", flush=True)
|
||||
|
||||
elif event.type == "content_block_delta":
|
||||
if hasattr(event.delta, "text") and event.delta.text:
|
||||
text = event.delta.text
|
||||
accumulated_content += text
|
||||
print(f" Content: {repr(text)}", end="", flush=True)
|
||||
|
||||
elif event.type == "tool_use":
|
||||
current_tool_name = event.tool_use.name
|
||||
print(f" Tool use: {current_tool_name}", end="", flush=True)
|
||||
|
||||
# If input is available immediately
|
||||
if hasattr(event.tool_use, "input") and event.tool_use.input:
|
||||
tool_call_chunks += 1
|
||||
input_json = json.dumps(event.tool_use.input)
|
||||
input_len = len(input_json)
|
||||
print(f" Input[{input_len}]: {input_json[:50]}...", end="", flush=True)
|
||||
accumulated_tool_input = input_json
|
||||
|
||||
elif event.type == "tool_use_delta":
|
||||
if hasattr(event.delta, "input") and event.delta.input:
|
||||
tool_call_chunks += 1
|
||||
# For streaming tool inputs, we get partial updates
|
||||
# The delta.input is a dictionary with partial updates to specific fields
|
||||
input_json = json.dumps(event.delta.input)
|
||||
input_len = len(input_json)
|
||||
print(f" Input delta[{input_len}]: {input_json[:50]}...", end="", flush=True)
|
||||
|
||||
# Try to merge the deltas
|
||||
try:
|
||||
if accumulated_tool_input:
|
||||
# Parse existing accumulated JSON
|
||||
existing_input = json.loads(accumulated_tool_input)
|
||||
# Update with new delta
|
||||
existing_input.update(event.delta.input)
|
||||
accumulated_tool_input = json.dumps(existing_input)
|
||||
else:
|
||||
accumulated_tool_input = input_json
|
||||
except json.JSONDecodeError:
|
||||
# If we can't parse JSON yet, just append the raw delta
|
||||
accumulated_tool_input += input_json
|
||||
|
||||
elif event.type == "message_delta":
|
||||
if hasattr(event.delta, "stop_reason") and event.delta.stop_reason:
|
||||
print(f"\n--- FINISH REASON: {event.delta.stop_reason} ---", flush=True)
|
||||
|
||||
elif event.type == "message_stop":
|
||||
# Access stop_reason directly from the event
|
||||
if hasattr(event, "stop_reason"):
|
||||
print(f"\n--- MESSAGE STOP: {event.stop_reason} ---", flush=True)
|
||||
else:
|
||||
print("\n--- MESSAGE STOP ---", flush=True)
|
||||
|
||||
# Force flush after every chunk
|
||||
sys.stdout.flush()
|
||||
|
||||
print("\n\n--- END STREAM OUTPUT ---\n", flush=True)
|
||||
sys.stdout.flush()
|
||||
|
||||
# Summary after all chunks processed
|
||||
print("\n=== Streaming Summary ===")
|
||||
print(f"Total chunks: {chunk_count}")
|
||||
print(f"Tool call chunks: {tool_call_chunks}")
|
||||
|
||||
if current_tool_name:
|
||||
print(f"\nTool name: {current_tool_name}")
|
||||
|
||||
if accumulated_content:
|
||||
print(f"\nAccumulated content:")
|
||||
print(accumulated_content)
|
||||
|
||||
# Try to parse accumulated arguments as JSON
|
||||
try:
|
||||
if accumulated_tool_input:
|
||||
print(f"\nTotal accumulated tool input length: {len(accumulated_tool_input)}")
|
||||
input_obj = json.loads(accumulated_tool_input)
|
||||
print(f"\nSuccessfully parsed accumulated tool input as JSON")
|
||||
if 'file_path' in input_obj:
|
||||
print(f"file_path: {input_obj['file_path']}")
|
||||
if 'file_contents' in input_obj:
|
||||
contents = input_obj['file_contents']
|
||||
print(f"file_contents length: {len(contents)}")
|
||||
print(f"file_contents preview: {contents[:100]}...")
|
||||
except json.JSONDecodeError as e:
|
||||
print(f"\nError parsing accumulated tool input: {e}")
|
||||
print(f"Tool input start: {accumulated_tool_input[:100]}...")
|
||||
print(f"Tool input end: {accumulated_tool_input[-100:]}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error in streaming test: {str(e)}", exc_info=True)
|
||||
|
||||
async def main():
|
||||
"""Run the raw streaming test."""
|
||||
await test_raw_streaming()
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
|
|
@ -19,6 +19,15 @@ interface ApiMessage {
|
|||
type?: 'content' | 'tool_call';
|
||||
name?: string;
|
||||
arguments?: string;
|
||||
tool_call?: {
|
||||
id: string;
|
||||
function: {
|
||||
name: string;
|
||||
arguments: string;
|
||||
};
|
||||
type: string;
|
||||
index: number;
|
||||
};
|
||||
}
|
||||
|
||||
interface ApiAgentRun {
|
||||
|
|
@ -47,6 +56,7 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
const [agentStatus, setAgentStatus] = useState<'idle' | 'running' | 'paused'>('idle');
|
||||
const [isStreaming, setIsStreaming] = useState(false);
|
||||
const [streamContent, setStreamContent] = useState('');
|
||||
const [toolCallData, setToolCallData] = useState<{id?: string, name?: string, arguments?: string, index?: number} | null>(null);
|
||||
|
||||
const streamCleanupRef = useRef<(() => void) | null>(null);
|
||||
const textareaRef = useRef<HTMLTextAreaElement | null>(null);
|
||||
|
|
@ -89,6 +99,15 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
message?: string;
|
||||
name?: string;
|
||||
arguments?: string;
|
||||
tool_call?: {
|
||||
id: string;
|
||||
function: {
|
||||
name: string;
|
||||
arguments: string;
|
||||
};
|
||||
type: string;
|
||||
index: number;
|
||||
};
|
||||
} | null = null;
|
||||
|
||||
// Handle data: prefix format (SSE standard format)
|
||||
|
|
@ -108,6 +127,9 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
// This will execute regardless of the normal flow
|
||||
console.log(`[PAGE] 🚨 FORCE VERIFYING completion status for run: ${runId || 'unknown'}`);
|
||||
|
||||
// Reset tool call data on completion
|
||||
setToolCallData(null);
|
||||
|
||||
// Immediately mark as not streaming to update UI
|
||||
setIsStreaming(false);
|
||||
setAgentStatus('idle');
|
||||
|
|
@ -204,8 +226,31 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
return;
|
||||
}
|
||||
|
||||
// Handle tool call chunks with data: prefix
|
||||
if (jsonData?.type === 'content' && jsonData?.tool_call) {
|
||||
console.log('[PAGE] Processing prefixed tool call chunk:', jsonData.tool_call);
|
||||
|
||||
const { id, function: toolFunction, type, index } = jsonData.tool_call;
|
||||
|
||||
// Update tool call data - accumulate arguments
|
||||
setToolCallData(prev => ({
|
||||
id,
|
||||
name: toolFunction?.name,
|
||||
arguments: prev && prev.id === id ?
|
||||
(prev.arguments || '') + (toolFunction?.arguments || '') :
|
||||
toolFunction?.arguments,
|
||||
index
|
||||
}));
|
||||
|
||||
// Don't update streamContent directly for tool calls
|
||||
return;
|
||||
}
|
||||
|
||||
// Handle regular content with data: prefix
|
||||
if (jsonData?.type === 'content' && jsonData?.content) {
|
||||
// Reset tool call data when switching to content
|
||||
setToolCallData(null);
|
||||
|
||||
// For regular content, just append to the existing content
|
||||
setStreamContent(prev => prev + jsonData?.content);
|
||||
console.log('[PAGE] Added content from prefixed data:', jsonData?.content.substring(0, 30) + '...');
|
||||
|
|
@ -246,6 +291,9 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
// Direct access verification - forcing immediate state update
|
||||
console.log(`[PAGE] 🚨 FORCE VERIFYING completion status for standard message: ${runId || 'unknown'}`);
|
||||
|
||||
// Reset tool call data
|
||||
setToolCallData(null);
|
||||
|
||||
// Immediately mark as not streaming to update UI
|
||||
setIsStreaming(false);
|
||||
setAgentStatus('idle');
|
||||
|
|
@ -282,10 +330,27 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
}
|
||||
|
||||
// Skip empty messages
|
||||
if (!jsonData?.content && !jsonData?.arguments) return;
|
||||
if (!jsonData?.content && !jsonData?.arguments && !jsonData?.tool_call) return;
|
||||
|
||||
// Handle different message types
|
||||
if (jsonData?.type === 'tool_call') {
|
||||
if (jsonData?.type === 'content' && jsonData?.tool_call) {
|
||||
console.log('[PAGE] Processing tool call chunk:', jsonData.tool_call);
|
||||
|
||||
const { id, function: toolFunction, type, index } = jsonData.tool_call;
|
||||
|
||||
// Update tool call data - accumulate arguments
|
||||
setToolCallData(prev => ({
|
||||
id,
|
||||
name: toolFunction?.name,
|
||||
arguments: prev && prev.id === id ?
|
||||
(prev.arguments || '') + (toolFunction?.arguments || '') :
|
||||
toolFunction?.arguments,
|
||||
index
|
||||
}));
|
||||
|
||||
// Don't update streamContent directly for tool calls
|
||||
return;
|
||||
} else if (jsonData?.type === 'tool_call') {
|
||||
const toolContent = jsonData.name
|
||||
? `Tool: ${jsonData.name}\n${jsonData.arguments || ''}`
|
||||
: jsonData.arguments || '';
|
||||
|
|
@ -294,6 +359,9 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
setStreamContent(prev => prev + (prev ? '\n' : '') + toolContent);
|
||||
console.log('[PAGE] Added tool call content:', toolContent.substring(0, 30) + '...');
|
||||
} else if (jsonData?.type === 'content' && jsonData?.content) {
|
||||
// Reset tool call data when switching to content
|
||||
setToolCallData(null);
|
||||
|
||||
// For regular content, just append to the existing content
|
||||
setStreamContent(prev => prev + jsonData?.content);
|
||||
console.log('[PAGE] Added content:', jsonData?.content.substring(0, 30) + '...');
|
||||
|
|
@ -327,6 +395,9 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
setAgentStatus('idle');
|
||||
setIsStreaming(false);
|
||||
|
||||
// Reset tool call data
|
||||
setToolCallData(null);
|
||||
|
||||
try {
|
||||
console.log(`[PAGE] Checking final status for agent run ${runId}`);
|
||||
const status = await getAgentStatus(runId);
|
||||
|
|
@ -847,8 +918,27 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
<div className="whitespace-pre-wrap break-words">
|
||||
{message.type === 'tool_call' ? (
|
||||
<div className="font-mono text-xs">
|
||||
<div className="text-muted-foreground">Tool: {message.name}</div>
|
||||
<div className="mt-1">{message.arguments}</div>
|
||||
<div className="flex items-center gap-2 mb-1 text-muted-foreground">
|
||||
<div className="flex h-4 w-4 items-center justify-center rounded-full bg-primary/10">
|
||||
<div className="h-2 w-2 rounded-full bg-primary"></div>
|
||||
</div>
|
||||
<span>Tool: {message.name}</span>
|
||||
</div>
|
||||
<div className="mt-1 p-3 bg-secondary/20 rounded-md overflow-x-auto">
|
||||
{message.arguments}
|
||||
</div>
|
||||
</div>
|
||||
) : message.role === 'tool' ? (
|
||||
<div className="font-mono text-xs">
|
||||
<div className="flex items-center gap-2 mb-1 text-muted-foreground">
|
||||
<div className="flex h-4 w-4 items-center justify-center rounded-full bg-success/10">
|
||||
<div className="h-2 w-2 rounded-full bg-success"></div>
|
||||
</div>
|
||||
<span>Tool Result: {message.name}</span>
|
||||
</div>
|
||||
<div className="mt-1 p-3 bg-success/5 rounded-md">
|
||||
{message.content}
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
message.content
|
||||
|
|
@ -865,7 +955,21 @@ export default function ThreadPage({ params }: { params: Promise<ThreadParams> }
|
|||
>
|
||||
<div className="max-w-[85%] rounded-lg bg-muted px-4 py-3 text-sm">
|
||||
<div className="whitespace-pre-wrap break-words">
|
||||
{streamContent}
|
||||
{toolCallData ? (
|
||||
<div className="font-mono text-xs">
|
||||
<div className="flex items-center gap-2 mb-1 text-muted-foreground">
|
||||
<div className="flex h-4 w-4 items-center justify-center rounded-full bg-primary/10">
|
||||
<div className="h-2 w-2 rounded-full bg-primary animate-pulse"></div>
|
||||
</div>
|
||||
<span>Tool: {toolCallData.name}</span>
|
||||
</div>
|
||||
<div className="mt-1 p-3 bg-secondary/20 rounded-md overflow-x-auto">
|
||||
{toolCallData.arguments || ''}
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
streamContent
|
||||
)}
|
||||
{isStreaming && (
|
||||
<span className="inline-flex items-center ml-0.5">
|
||||
<span
|
||||
|
|
|
|||
|
|
@ -0,0 +1,60 @@
|
|||
2025-04-08 00:12:44,337 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:12:44,337 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:12:44,337 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:12:44,337 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:12:44,337 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:12:44,337 - agentpress - INFO - llm.py:194 - Making LLM API call to model: anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:12:44,337 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:12:44,337 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:12:45,623 - agentpress - INFO - llm.py:217 - Successfully received API response from anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:12:45,623 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x1055aafa0>
|
||||
2025-04-08 00:16:23,059 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:16:23,060 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:16:23,060 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:16:23,060 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:16:23,060 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:16:23,060 - agentpress - INFO - llm.py:194 - Making LLM API call to model: anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:16:23,060 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:16:23,060 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:16:24,620 - agentpress - INFO - llm.py:217 - Successfully received API response from anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:16:24,620 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x10749ffd0>
|
||||
2025-04-08 00:16:59,313 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:16:59,313 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:16:59,313 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:16:59,313 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:16:59,313 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:16:59,313 - agentpress - INFO - llm.py:194 - Making LLM API call to model: anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:16:59,313 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:16:59,313 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:17:00,512 - agentpress - INFO - llm.py:217 - Successfully received API response from anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:17:00,512 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x1073eddc0>
|
||||
2025-04-08 00:17:55,152 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:17:55,152 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:17:55,152 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:17:55,152 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:17:55,152 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:17:55,153 - agentpress - INFO - llm.py:194 - Making LLM API call to model: anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:17:55,153 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:17:55,153 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:17:56,322 - agentpress - INFO - llm.py:217 - Successfully received API response from anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:17:56,323 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x107710220>
|
||||
2025-04-08 00:18:23,004 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:18:23,004 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:18:23,004 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:18:23,004 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:18:23,004 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:18:23,004 - agentpress - INFO - llm.py:194 - Making LLM API call to model: anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:18:23,004 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:18:23,004 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:18:23,944 - agentpress - INFO - llm.py:217 - Successfully received API response from anthropic/claude-3-5-sonnet-latest
|
||||
2025-04-08 00:18:23,944 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x106f1df70>
|
||||
2025-04-08 00:18:54,251 - agentpress - DEBUG - llm.py:43 - API key set for provider: OPENAI
|
||||
2025-04-08 00:18:54,251 - agentpress - DEBUG - llm.py:43 - API key set for provider: ANTHROPIC
|
||||
2025-04-08 00:18:54,251 - agentpress - DEBUG - llm.py:43 - API key set for provider: GROQ
|
||||
2025-04-08 00:18:54,251 - agentpress - WARNING - llm.py:45 - No API key found for provider: OPENROUTER
|
||||
2025-04-08 00:18:54,251 - agentpress - WARNING - llm.py:64 - Missing AWS credentials for Bedrock integration - access_key: False, secret_key: True, region: None
|
||||
2025-04-08 00:18:54,252 - agentpress - INFO - llm.py:194 - Making LLM API call to model: openai/gpt-4o
|
||||
2025-04-08 00:18:54,252 - agentpress - DEBUG - llm.py:121 - Added 1 tools to API parameters
|
||||
2025-04-08 00:18:54,252 - agentpress - DEBUG - llm.py:213 - Attempt 1/3
|
||||
2025-04-08 00:18:55,196 - agentpress - INFO - llm.py:217 - Successfully received API response from openai/gpt-4o
|
||||
2025-04-08 00:18:55,197 - agentpress - DEBUG - llm.py:218 - Response: <litellm.litellm_core_utils.streaming_handler.CustomStreamWrapper object at 0x10832fe80>
|
||||
Loading…
Reference in New Issue