{
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	"name": "GPT-5.4 pro",
	"description": "GPT-5.4 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.",
	"task": "Text Generation",
	"tags": [
		"LLM",
		"Coding",
		"Reasoning",
		"Multimodal",
		"Responses API"
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			"name": "Simple Question",
			"description": "Basic Responses API request with string input",
			"input": {
				"input": "What are the three laws of thermodynamics?"
			},
			"output": {
				"text": "The **three laws of thermodynamics** usually mean:\n\n1. **First Law \u2014 Conservation of Energy**  \n   Energy cannot be created or destroyed, only transferred or transformed.  \n   - In thermodynamics: the change in a system\u2019s internal energy equals heat added to the system minus work done by the system.\n\n2. **Second Law \u2014 Entropy Increases**  \n   In any natural process, the total entropy of an isolated system tends to increase.  \n   - This means energy spontaneously spreads out, and no heat engine can be 100% efficient.\n   - Heat naturally flows from hot objects to cold ones, not the reverse without input of work.\n\n3. **Third Law \u2014 Entropy at Absolute Zero**  \n   As temperature approaches **absolute zero** (0 K), the entropy of a perfect crystal approaches zero.  \n   - A consequence is that absolute zero cannot be reached in a finite number of steps.\n\nSmall note: thermodynamics also has a **Zeroth Law**, which is often listed before these:\n- If system A is in thermal equilibrium with B, and B is in thermal equilibrium with C, then A is in thermal equilibrium with C.  \n- This is the basis for the concept of **temperature**.\n\nIf you want, I can also give a **one-line intuitive version** of each law."
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								"text": "The **three laws of thermodynamics** usually mean:\n\n1. **First Law \u2014 Conservation of Energy**  \n   Energy cannot be created or destroyed, only transferred or transformed.  \n   - In thermodynamics: the change in a system\u2019s internal energy equals heat added to the system minus work done by the system.\n\n2. **Second Law \u2014 Entropy Increases**  \n   In any natural process, the total entropy of an isolated system tends to increase.  \n   - This means energy spontaneously spreads out, and no heat engine can be 100% efficient.\n   - Heat naturally flows from hot objects to cold ones, not the reverse without input of work.\n\n3. **Third Law \u2014 Entropy at Absolute Zero**  \n   As temperature approaches **absolute zero** (0 K), the entropy of a perfect crystal approaches zero.  \n   - A consequence is that absolute zero cannot be reached in a finite number of steps.\n\nSmall note: thermodynamics also has a **Zeroth Law**, which is often listed before these:\n- If system A is in thermal equilibrium with B, and B is in thermal equilibrium with C, then A is in thermal equilibrium with C.  \n- This is the basis for the concept of **temperature**.\n\nIf you want, I can also give a **one-line intuitive version** of each law.",
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			"name": "With Instructions",
			"description": "Using instructions to set context",
			"input": {
				"input": "How do I read a JSON file in Python?",
				"instructions": "You are a helpful coding assistant specializing in Python."
			},
			"output": {
				"text": "Use Python\u2019s built-in `json` module.\n\n### Read a JSON file into a Python object\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n    data = json.load(f)\n\nprint(data)\n```\n\n### What you get back\n`json.load()` converts JSON into normal Python types:\n\n- JSON object \u2192 `dict`\n- JSON array \u2192 `list`\n- JSON string \u2192 `str`\n- JSON number \u2192 `int` / `float`\n- JSON true/false \u2192 `True` / `False`\n- JSON null \u2192 `None`\n\n### Example\nIf `data.json` contains:\n```json\n{\n  \"name\": \"Alice\",\n  \"age\": 30,\n  \"skills\": [\"Python\", \"SQL\"]\n}\n```\n\nThen:\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n    data = json.load(f)\n\nprint(data[\"name\"])    # Alice\nprint(data[\"skills\"])  # ['Python', 'SQL']\n```\n\n### Handle errors safely\n```python\nimport json\n\ntry:\n    with open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n        data = json.load(f)\nexcept FileNotFoundError:\n    print(\"File not found.\")\nexcept json.JSONDecodeError:\n    print(\"Invalid JSON.\")\n```\n\n### If you already have JSON as a string\nUse `json.loads()` instead:\n```python\nimport json\n\ntext = '{\"name\": \"Alice\", \"age\": 30}'\ndata = json.loads(text)\nprint(data)\n```\n\nIf you want, I can also show how to **write JSON back to a file**."
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								"text": "Use Python\u2019s built-in `json` module.\n\n### Read a JSON file into a Python object\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n    data = json.load(f)\n\nprint(data)\n```\n\n### What you get back\n`json.load()` converts JSON into normal Python types:\n\n- JSON object \u2192 `dict`\n- JSON array \u2192 `list`\n- JSON string \u2192 `str`\n- JSON number \u2192 `int` / `float`\n- JSON true/false \u2192 `True` / `False`\n- JSON null \u2192 `None`\n\n### Example\nIf `data.json` contains:\n```json\n{\n  \"name\": \"Alice\",\n  \"age\": 30,\n  \"skills\": [\"Python\", \"SQL\"]\n}\n```\n\nThen:\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n    data = json.load(f)\n\nprint(data[\"name\"])    # Alice\nprint(data[\"skills\"])  # ['Python', 'SQL']\n```\n\n### Handle errors safely\n```python\nimport json\n\ntry:\n    with open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n        data = json.load(f)\nexcept FileNotFoundError:\n    print(\"File not found.\")\nexcept json.JSONDecodeError:\n    print(\"Invalid JSON.\")\n```\n\n### If you already have JSON as a string\nUse `json.loads()` instead:\n```python\nimport json\n\ntext = '{\"name\": \"Alice\", \"age\": 30}'\ndata = json.loads(text)\nprint(data)\n```\n\nIf you want, I can also show how to **write JSON back to a file**.",
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					"label": "curl",
					"language": "bash",
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		{
			"name": "Multi-turn Conversation",
			"description": "Continuing a conversation with message array",
			"input": {
				"input": [
					{
						"content": "I need help planning a road trip from San Francisco to Los Angeles.",
						"role": "user"
					},
					{
						"content": "I'd be happy to help! The drive is about 380 miles and takes roughly 5-6 hours. Would you like suggestions for scenic routes or interesting stops along the way?",
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						"content": "Yes, name three good stops in one short sentence each.",
						"role": "user"
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				"max_output_tokens": 16000
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			"output": {
				"text": "- Monterey is great for the aquarium, Cannery Row, and ocean views.  \n- San Luis Obispo is a fun lunch stop with a charming downtown and Mission Plaza.  \n- Santa Barbara offers beaches, palm-lined streets, and an easy coastal break."
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					"label": "typescript",
					"language": "typescript",
					"code": "const response = await env.AI.run(\n  'openai/gpt-5.4-pro',\n  {\n    input: [\n      {\n        content: 'I need help planning a road trip from San Francisco to Los Angeles.',\n        role: 'user',\n      },\n      {\n        content:\n          \"I'd be happy to help! The drive is about 380 miles and takes roughly 5-6 hours. Would you like suggestions for scenic routes or interesting stops along the way?\",\n        role: 'assistant',\n      },\n      { content: 'Yes, name three good stops in one short sentence each.', role: 'user' },\n    ],\n    max_output_tokens: 16000,\n  },\n)\nconsole.log(response)"
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				{
					"label": "curl",
					"language": "bash",
					"code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \\\n  --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n  --header \"Content-Type: application/json\" \\\n  --data '{\n  \"model\": \"openai/gpt-5.4-pro\",\n  \"input\": [\n    {\n      \"content\": \"I need help planning a road trip from San Francisco to Los Angeles.\",\n      \"role\": \"user\"\n    },\n    {\n      \"content\": \"I'\\''d be happy to help! The drive is about 380 miles and takes roughly 5-6 hours. Would you like suggestions for scenic routes or interesting stops along the way?\",\n      \"role\": \"assistant\"\n    },\n    {\n      \"content\": \"Yes, name three good stops in one short sentence each.\",\n      \"role\": \"user\"\n    }\n  ],\n  \"max_output_tokens\": 16000\n}'"
				}
			]
		},
		{
			"name": "Temperature Control",
			"description": "Using temperature for creative responses",
			"input": {
				"input": "Write a haiku about artificial intelligence",
				"temperature": 1
			},
			"output": {
				"text": "Silent circuits dream  \nLearning patterns in the dark  \nDawn wakes metal minds"
			},
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				{
					"label": "typescript",
					"language": "typescript",
					"code": "const response = await env.AI.run(\n  'openai/gpt-5.4-pro',\n  { input: 'Write a haiku about artificial intelligence', temperature: 1 },\n)\nconsole.log(response)"
				},
				{
					"label": "curl",
					"language": "bash",
					"code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \\\n  --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n  --header \"Content-Type: application/json\" \\\n  --data '{\n  \"model\": \"openai/gpt-5.4-pro\",\n  \"input\": \"Write a haiku about artificial intelligence\",\n  \"temperature\": 1\n}'"
				}
			]
		},
		{
			"name": "With Reasoning",
			"description": "Using reasoning effort for complex problems",
			"input": {
				"input": "Solve this problem step by step: A train leaves Chicago at 60mph heading east. Another train leaves New York at 80mph heading west. They are 900 miles apart. When do they meet?",
				"reasoning": {
					"effort": "medium"
				}
			},
			"output": {
				"text": "Step 1: Find their combined speed since they are moving toward each other.\n\n- Train from Chicago: **60 mph**\n- Train from New York: **80 mph**\n\nCombined speed:\n\n**60 + 80 = 140 mph**\n\nStep 2: Use the distance formula:\n\n\\[\n\\text{time}=\\frac{\\text{distance}}{\\text{speed}}\n\\]\n\n\\[\n\\text{time}=\\frac{900}{140}\n\\]\n\n\\[\n\\text{time}=6.428571\\text{ hours}\n\\]\n\nStep 3: Convert the decimal part to minutes.\n\n\\[\n0.428571 \\times 60 \\approx 25.7 \\text{ minutes}\n\\]\n\nSo they meet after about:\n\n**6 hours 26 minutes**\n\nFinal answer: **The trains meet about 6 hours 26 minutes after they leave.**"
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								"text": "Step 1: Find their combined speed since they are moving toward each other.\n\n- Train from Chicago: **60 mph**\n- Train from New York: **80 mph**\n\nCombined speed:\n\n**60 + 80 = 140 mph**\n\nStep 2: Use the distance formula:\n\n\\[\n\\text{time}=\\frac{\\text{distance}}{\\text{speed}}\n\\]\n\n\\[\n\\text{time}=\\frac{900}{140}\n\\]\n\n\\[\n\\text{time}=6.428571\\text{ hours}\n\\]\n\nStep 3: Convert the decimal part to minutes.\n\n\\[\n0.428571 \\times 60 \\approx 25.7 \\text{ minutes}\n\\]\n\nSo they meet after about:\n\n**6 hours 26 minutes**\n\nFinal answer: **The trains meet about 6 hours 26 minutes after they leave.**",
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