{ "model_id": "openai/gpt-5-mini", "provider_id": "openai", "name": "GPT-5 mini", "description": "GPT-5 Mini is the lightweight, low-cost variant of GPT-5, well suited to high-volume coding and reasoning tasks.", "task": "Text Generation", "tags": [ "LLM", "Fast", "Cost-Efficient" ], "context_length": 128000, "max_output_tokens": 16384, "schema_version": "1.0.0", "pricing": { "Input tokens (per 1M)": 0.25, "Output tokens (per 1M)": 2, "Cached input tokens (per 1M)": 0.025 }, "examples": [ { "name": "Simple Question", "description": "Basic chat completion request", "input": { "messages": [ { "content": "What are the three laws of thermodynamics?", "role": "user" } ] }, "output": { "text": "Briefly, the fundamental laws are:\n\n- Zeroth law (often counted separately): 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. This justifies the concept of temperature and allows the use of thermometers.\n\n- First law (conservation of energy): Energy is conserved. For a closed system,\n \u0394U = Q \u2212 W,\n where \u0394U is the change in internal energy, Q is heat added to the system, and W is work done by the system.\n\n- Second law (direction of processes; entropy): Natural processes increase the total entropy of an isolated system. A standard mathematical statement:\n \u0394S \u2265 \u222b \u03b4Q_rev/T,\n and for an isolated system \u0394S \u2265 0. Equivalent formulations: no cyclic engine can convert all heat into work (Kelvin\u2013Planck), and heat cannot spontaneously flow from a colder to a hotter body (Clausius).\n\n- Third law (zero\u2011temperature limit): As T \u2192 0, the entropy of a perfect crystalline substance approaches a constant (often taken as zero). Consequences include the unattainability principle: absolute zero cannot be reached in a finite number of steps.\n\n(Traditionally textbooks list the First, Second and Third laws; the Zeroth law was named later because it underpins the concept of temperature.)" }, "raw_response": { "choices": [ { "finish_reason": "stop", "index": 0, "message": { "annotations": [], "content": "Briefly, the fundamental laws are:\n\n- Zeroth law (often counted separately): 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. This justifies the concept of temperature and allows the use of thermometers.\n\n- First law (conservation of energy): Energy is conserved. For a closed system,\n \u0394U = Q \u2212 W,\n where \u0394U is the change in internal energy, Q is heat added to the system, and W is work done by the system.\n\n- Second law (direction of processes; entropy): Natural processes increase the total entropy of an isolated system. A standard mathematical statement:\n \u0394S \u2265 \u222b \u03b4Q_rev/T,\n and for an isolated system \u0394S \u2265 0. Equivalent formulations: no cyclic engine can convert all heat into work (Kelvin\u2013Planck), and heat cannot spontaneously flow from a colder to a hotter body (Clausius).\n\n- Third law (zero\u2011temperature limit): As T \u2192 0, the entropy of a perfect crystalline substance approaches a constant (often taken as zero). Consequences include the unattainability principle: absolute zero cannot be reached in a finite number of steps.\n\n(Traditionally textbooks list the First, Second and Third laws; the Zeroth law was named later because it underpins the concept of temperature.)", "refusal": null, "role": "assistant" } } ], "created": 1777320124, "gatewayMetadata": { "keySource": "Unified" }, "id": "chatcmpl-DZMRYPDmQAXQ6d6GeOKrgb8jeCPgK", "model": "gpt-5-mini-2025-08-07", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": { "completion_tokens": 673, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 384, "rejected_prediction_tokens": 0 }, "prompt_tokens": 15, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 }, "total_tokens": 688 } }, "code_snippets": [ { "label": "typescript", "language": "typescript", "code": "const response = await env.AI.run(\n 'openai/gpt-5-mini',\n { messages: [{ content: 'What are the three laws of thermodynamics?', role: 'user' }] },\n)\nconsole.log(response)" }, { "label": "curl", "language": "bash", "code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-5-mini\",\n \"messages\": [\n {\n \"content\": \"What are the three laws of thermodynamics?\",\n \"role\": \"user\"\n }\n ]\n}'" } ] }, { "name": "With System Message", "description": "Using a system message to set context", "input": { "messages": [ { "content": "You are a helpful coding assistant specializing in Python.", "role": "system" }, { "content": "How do I read a JSON file in Python?", "role": "user" } ] }, "output": { "text": "The built\u2011in json module is the usual way. Use json.load() to parse a file object into Python objects (dicts, lists, strings, numbers, booleans, None).\n\nBasic example:\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n data = json.load(f)\n\nprint(type(data)) # usually dict or list\nprint(data)\n```\n\nRead from a JSON string:\n```python\ns = '{\"name\": \"Alice\", \"age\": 30}'\nobj = json.loads(s)\n```\n\nCommon extras\n\n- Error handling:\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 as e:\n print(\"Invalid JSON:\", e)\n```\n\n- Newline-delimited JSON (NDJSON / JSON Lines):\n```python\nimport json\n\nwith open(\"lines.jsonl\", \"r\", encoding=\"utf-8\") as f:\n for line in f:\n if line.strip():\n obj = json.loads(line)\n # process obj\n```\n\n- Large files (streaming): for very large JSON arrays, use a streaming parser like ijson to avoid loading everything into memory:\n```python\nimport ijson\n\nwith open(\"big.json\", \"rb\") as f:\n for item in ijson.items(f, \"item\"): # \"item\" is path for array elements\n # process item\n```\n\n- Compressed JSON:\n```python\nimport gzip, json\n\nwith gzip.open(\"data.json.gz\", \"rt\", encoding=\"utf-8\") as f:\n data = json.load(f)\n```\n\n- Convert Python back to JSON:\n```python\nwith open(\"out.json\", \"w\", encoding=\"utf-8\") as f:\n json.dump(data, f, ensure_ascii=False, indent=2)\n```\n\nIf your JSON maps naturally to tabular data, pandas.read_json can be convenient:\n```python\nimport pandas as pd\ndf = pd.read_json(\"data.json\")\n```\n\nThat covers the usual ways \u2014 if you share the structure of your JSON or constraints (huge file, NDJSON, custom types), I can give a more specific example." }, "raw_response": { "choices": [ { "finish_reason": "stop", "index": 0, "message": { "annotations": [], "content": "The built\u2011in json module is the usual way. Use json.load() to parse a file object into Python objects (dicts, lists, strings, numbers, booleans, None).\n\nBasic example:\n```python\nimport json\n\nwith open(\"data.json\", \"r\", encoding=\"utf-8\") as f:\n data = json.load(f)\n\nprint(type(data)) # usually dict or list\nprint(data)\n```\n\nRead from a JSON string:\n```python\ns = '{\"name\": \"Alice\", \"age\": 30}'\nobj = json.loads(s)\n```\n\nCommon extras\n\n- Error handling:\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 as e:\n print(\"Invalid JSON:\", e)\n```\n\n- Newline-delimited JSON (NDJSON / JSON Lines):\n```python\nimport json\n\nwith open(\"lines.jsonl\", \"r\", encoding=\"utf-8\") as f:\n for line in f:\n if line.strip():\n obj = json.loads(line)\n # process obj\n```\n\n- Large files (streaming): for very large JSON arrays, use a streaming parser like ijson to avoid loading everything into memory:\n```python\nimport ijson\n\nwith open(\"big.json\", \"rb\") as f:\n for item in ijson.items(f, \"item\"): # \"item\" is path for array elements\n # process item\n```\n\n- Compressed JSON:\n```python\nimport gzip, json\n\nwith gzip.open(\"data.json.gz\", \"rt\", encoding=\"utf-8\") as f:\n data = json.load(f)\n```\n\n- Convert Python back to JSON:\n```python\nwith open(\"out.json\", \"w\", encoding=\"utf-8\") as f:\n json.dump(data, f, ensure_ascii=False, indent=2)\n```\n\nIf your JSON maps naturally to tabular data, pandas.read_json can be convenient:\n```python\nimport pandas as pd\ndf = pd.read_json(\"data.json\")\n```\n\nThat covers the usual ways \u2014 if you share the structure of your JSON or constraints (huge file, NDJSON, custom types), I can give a more specific example.", "refusal": null, "role": "assistant" } } ], "created": 1777320141, "gatewayMetadata": { "keySource": "Unified" }, "id": "chatcmpl-DZMRprAcSRmcAdqafyZx3VJbKyz1M", "model": "gpt-5-mini-2025-08-07", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": { "completion_tokens": 754, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 256, "rejected_prediction_tokens": 0 }, "prompt_tokens": 30, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 }, "total_tokens": 784 } }, "code_snippets": [ { "label": "typescript", "language": "typescript", "code": "const response = await env.AI.run(\n 'openai/gpt-5-mini',\n {\n messages: [\n { content: 'You are a helpful coding assistant specializing in Python.', role: 'system' },\n { content: 'How do I read a JSON file in Python?', role: 'user' },\n ],\n },\n)\nconsole.log(response)" }, { "label": "curl", "language": "bash", "code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-5-mini\",\n \"messages\": [\n {\n \"content\": \"You are a helpful coding assistant specializing in Python.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"How do I read a JSON file in Python?\",\n \"role\": \"user\"\n }\n ]\n}'" } ] }, { "name": "Multi-turn Conversation", "description": "Continuing a conversation with context", "input": { "max_completion_tokens": 8192, "messages": [ { "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?", "role": "assistant" }, { "content": "Yes, what are some good places to stop?", "role": "user" } ] }, "output": { "text": "Great \u2014 here are several good stop options and a few sample itineraries depending on how much time you have and which route you take (PCH/Highway 1 for scenery, US\u2011101 for a balance of speed and towns, I\u20115 if you want the fastest drive).\n\nHigh-level route choices\n- Pacific Coast Highway (CA\u20111 / PCH): Most scenic \u2014 cliffs, beaches, Big Sur. Slow, can be winding and has occasional closures/traffic.\n- US\u2011101: Faster than CA\u20111 and still scenic through coastal towns, wine country, and beaches.\n- I\u20115: Fastest (about 5\u20136 hours), but mostly inland and not scenic. Good if you want to minimize driving time.\n\nUseful tip: check Caltrans for road conditions and CA\u20111/Big Sur closures before you go; plan around LA rush hour (avoid entering LA 3\u20137 pm) and leaving SF early to beat Bay Area traffic.\n\nStops (north \u2192 south) \u2014 highlights by route\n\nCommon coastal highlights (CA\u20111 & 101 overlap in places)\n- Half Moon Bay (30\u201345 min from SF)\n - Quick beach walk, pastries (Local bakeries), coastal trail views.\n- Santa Cruz (1\u20131.5 hr from SF)\n - Boardwalk, surf spots, downtown restaurants.\n- Capitola (near Santa Cruz)\n - Colorful seaside village good for a short stroll and lunch.\n\nMonterey/Carmel area (great for families/couples)\n- Monterey Bay Aquarium (Monterey)\n - World-class aquarium, Cannery Row dining.\n- 17\u2011Mile Drive / Pebble Beach (Carmel/Monterey)\n - Scenic loop with coastal viewpoints and Lone Cypress.\n- Carmel-by-the-Sea\n - Charming village, galleries, beach.\n\nBig Sur (must-see if you have time)\n- Bixby Creek Bridge (iconic photo stop)\n- Pfeiffer Big Sur State Park (hiking)\n- Pfeiffer Beach (purple sand, limited parking)\n- McWay Falls / Julia Pfeiffer Burns State Park (waterfall onto beach)\n- Note: limited services and cell coverage \u2014 fuel up in Monterey or Carmel.\n\nSan Simeon / Cambria / Hearst Castle\n- Piedras Blancas elephant seal rookery (near San Simeon)\n- Hearst Castle tour (advance tickets recommended)\n- Cambria \u2014 quaint village for dinner/overnight.\n\nSan Luis Obispo / Pismo Beach / Morro Bay\n- San Luis Obispo (downtown, bubblegum alley)\n- Pismo Beach (cliffs, monarch butterflies seasonally)\n- Morro Bay (Morro Rock, kayaking)\n\nSanta Ynez Valley / Solvang (inland detour off PCH/101)\n- Danish-style Solvang, wineries in Santa Ynez and Los Olivos \u2014 great for wine tasting and a slower afternoon.\n\nSanta Barbara (the \u201cAmerican Riviera\u201d)\n- State Street, waterfront, mission, good dining and beaches.\n\nLast stretch into Los Angeles (via US\u2011101 or PCH)\n- Ventura (surf, harbor)\n- Malibu (beaches, Zuma, Point Dume)\n- Santa Monica / Venice (pier, boardwalk, restaurants) before heading to downtown LA or other neighborhoods.\n\nIf you take I\u20115 (fastest) \u2014 practical stops\n- Gilroy (garlic/food if you want a quick break)\n- Kettleman City or Harris Ranch (famous steakhouse stop)\n- Tejon Ranch outlets near the Grapevine (shopping, quick break)\n- Pyramid Lake/ghost-town stops are possible but mostly freeway views\n\nSample itineraries\n\n1) One-day drive, scenic highlights (long day)\n- Early SF departure (6\u20137 am) \u2192 Santa Cruz (coffee, 1 hr) \u2192 Monterey (lunch, Aquarium optional, 1.5\u20132 hr) \u2192 Big Sur (Bixby Bridge & viewpoints, 1\u20131.5 hr) \u2192 San Simeon (elephant seals) \u2192 Santa Barbara arrival late evening. Expect 10\u201312+ hours including stops.\n\n2) Two-day relaxed coastal trip (recommended)\nDay 1: SF \u2192 Half Moon Bay \u2192 Santa Cruz \u2192 Monterey/Carmel (overnight)\nDay 2: Carmel \u2192 Big Sur (Pfeiffer Beach, McWay Falls) \u2192 San Simeon or Pismo \u2192 Santa Barbara \u2192 LA\n- Overnight options: Carmel, Big Sur (if available), or San Luis Obispo/Santa Barbara to split driving times.\n\n3) Three-day scenic + wine-country\nDay 1: SF \u2192 Santa Cruz \u2192 Monterey/Carmel (explore 17\u2011Mile Drive)\nDay 2: Carmel \u2192 Big Sur \u2192 San Simeon \u2192 Pismo/Morro Bay (overnight)\nDay 3: Pismo \u2192 Solvang (wine tasting) \u2192 Santa Barbara \u2192 LA\n\nPractical tips\n- Time: Without stops SF\u2192LA on PCH/101 is 8\u201310 hours; I\u20115 ~5\u20136 hours.\n- Fuel and services: Fill up before Big Sur; limited gas and few restaurants in stretches.\n- Reservations: Hotels in Big Sur and popular towns fill up fast \u2014 book ahead. Hearst Castle requires timed tickets.\n- Weather/season: Summer fog near SF; Big Sur can have wind and cooler temps. CA\u20111 sometimes closes after storms/landslides.\n- Parking: Popular spots (Pfeiffer Beach, Bixby turnout, McWay Falls) can have limited parking \u2014 arrive early.\n- Safety: Drive carefully on winding sections, keep an eye on fuel, cell coverage is spotty in Big Sur.\n\nIf you tell me:\n- how many days you have,\n- whether you prefer beaches, hiking, wine, food stops, or quick travel,\nI\u2019ll draft a detailed day\u2011by\u2011day plan with drive times, restaurants and where to stay." }, "raw_response": { "choices": [ { "finish_reason": "stop", "index": 0, "message": { "annotations": [], "content": "Great \u2014 here are several good stop options and a few sample itineraries depending on how much time you have and which route you take (PCH/Highway 1 for scenery, US\u2011101 for a balance of speed and towns, I\u20115 if you want the fastest drive).\n\nHigh-level route choices\n- Pacific Coast Highway (CA\u20111 / PCH): Most scenic \u2014 cliffs, beaches, Big Sur. Slow, can be winding and has occasional closures/traffic.\n- US\u2011101: Faster than CA\u20111 and still scenic through coastal towns, wine country, and beaches.\n- I\u20115: Fastest (about 5\u20136 hours), but mostly inland and not scenic. Good if you want to minimize driving time.\n\nUseful tip: check Caltrans for road conditions and CA\u20111/Big Sur closures before you go; plan around LA rush hour (avoid entering LA 3\u20137 pm) and leaving SF early to beat Bay Area traffic.\n\nStops (north \u2192 south) \u2014 highlights by route\n\nCommon coastal highlights (CA\u20111 & 101 overlap in places)\n- Half Moon Bay (30\u201345 min from SF)\n - Quick beach walk, pastries (Local bakeries), coastal trail views.\n- Santa Cruz (1\u20131.5 hr from SF)\n - Boardwalk, surf spots, downtown restaurants.\n- Capitola (near Santa Cruz)\n - Colorful seaside village good for a short stroll and lunch.\n\nMonterey/Carmel area (great for families/couples)\n- Monterey Bay Aquarium (Monterey)\n - World-class aquarium, Cannery Row dining.\n- 17\u2011Mile Drive / Pebble Beach (Carmel/Monterey)\n - Scenic loop with coastal viewpoints and Lone Cypress.\n- Carmel-by-the-Sea\n - Charming village, galleries, beach.\n\nBig Sur (must-see if you have time)\n- Bixby Creek Bridge (iconic photo stop)\n- Pfeiffer Big Sur State Park (hiking)\n- Pfeiffer Beach (purple sand, limited parking)\n- McWay Falls / Julia Pfeiffer Burns State Park (waterfall onto beach)\n- Note: limited services and cell coverage \u2014 fuel up in Monterey or Carmel.\n\nSan Simeon / Cambria / Hearst Castle\n- Piedras Blancas elephant seal rookery (near San Simeon)\n- Hearst Castle tour (advance tickets recommended)\n- Cambria \u2014 quaint village for dinner/overnight.\n\nSan Luis Obispo / Pismo Beach / Morro Bay\n- San Luis Obispo (downtown, bubblegum alley)\n- Pismo Beach (cliffs, monarch butterflies seasonally)\n- Morro Bay (Morro Rock, kayaking)\n\nSanta Ynez Valley / Solvang (inland detour off PCH/101)\n- Danish-style Solvang, wineries in Santa Ynez and Los Olivos \u2014 great for wine tasting and a slower afternoon.\n\nSanta Barbara (the \u201cAmerican Riviera\u201d)\n- State Street, waterfront, mission, good dining and beaches.\n\nLast stretch into Los Angeles (via US\u2011101 or PCH)\n- Ventura (surf, harbor)\n- Malibu (beaches, Zuma, Point Dume)\n- Santa Monica / Venice (pier, boardwalk, restaurants) before heading to downtown LA or other neighborhoods.\n\nIf you take I\u20115 (fastest) \u2014 practical stops\n- Gilroy (garlic/food if you want a quick break)\n- Kettleman City or Harris Ranch (famous steakhouse stop)\n- Tejon Ranch outlets near the Grapevine (shopping, quick break)\n- Pyramid Lake/ghost-town stops are possible but mostly freeway views\n\nSample itineraries\n\n1) One-day drive, scenic highlights (long day)\n- Early SF departure (6\u20137 am) \u2192 Santa Cruz (coffee, 1 hr) \u2192 Monterey (lunch, Aquarium optional, 1.5\u20132 hr) \u2192 Big Sur (Bixby Bridge & viewpoints, 1\u20131.5 hr) \u2192 San Simeon (elephant seals) \u2192 Santa Barbara arrival late evening. Expect 10\u201312+ hours including stops.\n\n2) Two-day relaxed coastal trip (recommended)\nDay 1: SF \u2192 Half Moon Bay \u2192 Santa Cruz \u2192 Monterey/Carmel (overnight)\nDay 2: Carmel \u2192 Big Sur (Pfeiffer Beach, McWay Falls) \u2192 San Simeon or Pismo \u2192 Santa Barbara \u2192 LA\n- Overnight options: Carmel, Big Sur (if available), or San Luis Obispo/Santa Barbara to split driving times.\n\n3) Three-day scenic + wine-country\nDay 1: SF \u2192 Santa Cruz \u2192 Monterey/Carmel (explore 17\u2011Mile Drive)\nDay 2: Carmel \u2192 Big Sur \u2192 San Simeon \u2192 Pismo/Morro Bay (overnight)\nDay 3: Pismo \u2192 Solvang (wine tasting) \u2192 Santa Barbara \u2192 LA\n\nPractical tips\n- Time: Without stops SF\u2192LA on PCH/101 is 8\u201310 hours; I\u20115 ~5\u20136 hours.\n- Fuel and services: Fill up before Big Sur; limited gas and few restaurants in stretches.\n- Reservations: Hotels in Big Sur and popular towns fill up fast \u2014 book ahead. Hearst Castle requires timed tickets.\n- Weather/season: Summer fog near SF; Big Sur can have wind and cooler temps. CA\u20111 sometimes closes after storms/landslides.\n- Parking: Popular spots (Pfeiffer Beach, Bixby turnout, McWay Falls) can have limited parking \u2014 arrive early.\n- Safety: Drive carefully on winding sections, keep an eye on fuel, cell coverage is spotty in Big Sur.\n\nIf you tell me:\n- how many days you have,\n- whether you prefer beaches, hiking, wine, food stops, or quick travel,\nI\u2019ll draft a detailed day\u2011by\u2011day plan with drive times, restaurants and where to stay.", "refusal": null, "role": "assistant" } } ], "created": 1777420669, "gatewayMetadata": { "keySource": "BYOK" }, "id": "chatcmpl-DZmbFd2Ooyi5zmVdbSPxGyjtrwUUO", "model": "gpt-5-mini-2025-08-07", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": { "completion_tokens": 1926, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 704, "rejected_prediction_tokens": 0 }, "prompt_tokens": 76, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 }, "total_tokens": 2002 } }, "code_snippets": [ { "label": "typescript", "language": "typescript", "code": "const response = await env.AI.run(\n 'openai/gpt-5-mini',\n {\n max_completion_tokens: 8192,\n messages: [\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, what are some good places to stop?', role: 'user' },\n ],\n },\n)\nconsole.log(response)" }, { "label": "curl", "language": "bash", "code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-5-mini\",\n \"max_completion_tokens\": 8192,\n \"messages\": [\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, what are some good places to stop?\",\n \"role\": \"user\"\n }\n ]\n}'" } ] }, { "name": "Creative Writing", "description": "Longer completion for creative output", "input": { "max_completion_tokens": 8192, "messages": [ { "content": "Write a short story opening about a detective finding an unusual clue.", "role": "user" } ] }, "output": { "text": "The stairwell smelled like old coffee and lemon oil; the landlord kept the cleaner\u2019s bottle on the second landing like a totem. I\u2019d been up and down those stairs enough to know the rhythm of the building\u2014how the pipes sang at night, which door stuck in winter\u2014but the little hallway outside 3B hit a chord I hadn\u2019t heard before: silence so neat it felt deliberate.\n\nHer coat was still on the back of a chair, collar up like a small, pale stack of waves. No sign of forced entry, no overturned furniture, just the slow, inevitable disorder of someone who left thinking she\u2019d be right back. I moved to the chair because detectives move where other people don\u2019t: to pockets. Fingers downed in fabric, searching for lint and receipts and the kind of trash that forgets its own story.\n\nFolded twice, tucked in the inner pocket, was a drawing on cheap paper\u2014crayon blue and stubborn as truth. A stick figure, two dots for eyes, and across the forehead a jagged line of darker crayon. At the bottom, in a child\u2019s hurried script, the name: Jonah. My Jonah. The line across the forehead was the scar I got when I was eight and dared a chain-link fence like a daredevil out of hindsight. A scar nobody I worked with would know about; a scar I had never told anyone about.\n\nThe paper smelled faintly of rain and something waxy. I held it up to the single strip of window light and the crayon wax glowed like it had a pulse. The building hummed. Downstairs, someone laughed at nothing. In my chest, something rearranged\u2014an old drawer opened, and a key I\u2019d misplaced years ago slid into my hand. Not a clue so much as an accusation: someone had been in her pockets and had known the exact shape of my face." }, "raw_response": { "choices": [ { "finish_reason": "stop", "index": 0, "message": { "annotations": [], "content": "The stairwell smelled like old coffee and lemon oil; the landlord kept the cleaner\u2019s bottle on the second landing like a totem. I\u2019d been up and down those stairs enough to know the rhythm of the building\u2014how the pipes sang at night, which door stuck in winter\u2014but the little hallway outside 3B hit a chord I hadn\u2019t heard before: silence so neat it felt deliberate.\n\nHer coat was still on the back of a chair, collar up like a small, pale stack of waves. No sign of forced entry, no overturned furniture, just the slow, inevitable disorder of someone who left thinking she\u2019d be right back. I moved to the chair because detectives move where other people don\u2019t: to pockets. Fingers downed in fabric, searching for lint and receipts and the kind of trash that forgets its own story.\n\nFolded twice, tucked in the inner pocket, was a drawing on cheap paper\u2014crayon blue and stubborn as truth. A stick figure, two dots for eyes, and across the forehead a jagged line of darker crayon. At the bottom, in a child\u2019s hurried script, the name: Jonah. My Jonah. The line across the forehead was the scar I got when I was eight and dared a chain-link fence like a daredevil out of hindsight. A scar nobody I worked with would know about; a scar I had never told anyone about.\n\nThe paper smelled faintly of rain and something waxy. I held it up to the single strip of window light and the crayon wax glowed like it had a pulse. The building hummed. Downstairs, someone laughed at nothing. In my chest, something rearranged\u2014an old drawer opened, and a key I\u2019d misplaced years ago slid into my hand. 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"chat.completion.chunk", "service_tier": "default", "system_fingerprint": null, "usage": { "completion_tokens": 711, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 384, "rejected_prediction_tokens": 0 }, "prompt_tokens": 16, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0 }, "total_tokens": 727 } } ], "code_snippets": [ { "label": "typescript", "language": "typescript", "code": "const response = await env.AI.run(\n 'openai/gpt-5-mini',\n {\n messages: [{ content: 'Explain the concept of recursion with a simple example.', role: 'user' }],\n stream: true,\n stream_options: { include_usage: true },\n },\n)\nconsole.log(response)" }, { "label": "curl", "language": "bash", "code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-5-mini\",\n \"messages\": [\n {\n \"content\": \"Explain the concept of recursion with a simple example.\",\n \"role\": \"user\"\n }\n ],\n \"stream\": true,\n \"stream_options\": {\n \"include_usage\": true\n }\n}'" } ] }, { "name": "Web Search", "description": "Letting the model use OpenAI's built-in web search tool to answer with current information", "input": { "input": "What were the top news stories about Cloudflare this week? Summarise in three bullets.", "max_output_tokens": 4096, "tools": [ { "type": "web_search_preview" } ] }, "output": { "text": "Do you mean this calendar week (June 16\u201322, 2026)? Assuming yes \u2014 here are the three top Cloudflare stories from June 16\u201322, 2026:\n\n- Jun 22, 2026 \u2014 Eastern North America fiber cut caused increased error rates/latency and a partial degradation across Cloudflare services; engineers re\u2011routed traffic and mitigated most impact. ([cloudflarestatus.com](https://www.cloudflarestatus.com/)) \n- Jun 16, 2026 \u2014 Cloudflare reported degraded availability for some Workers AI models (affecting specific @cf/moonshotai models), which Cloudflare investigated and partially mitigated. ([cloudflarestatus.com](https://www.cloudflarestatus.com/)) \n- Jun 17\u201318, 2026 \u2014 Cloudflare launched a Cloudflare One \u201cDesign Partner\u201d designation and an AI\u2011powered toolkit (Cloudflare One Stack) to speed SASE/Zero\u2011Trust and AI security migrations via select channel partners. ([itpro.com](https://www.itpro.com/technology/artificial-intelligence/cloudflare-launches-new-partner-initiative-to-support-ai-and-sase-adoption?utm_source=openai))\n\nWant me to expand any item (impacts, affected customers, timelines) or fetch more sources?" }, "raw_response": { "id": "resp_0353bf77a6c21bf8016a3990db5a388199857704943aa2bb92", "object": "response", "created_at": 1782157531, "model": "gpt-5-mini-2025-08-07", "output": [ { "id": "rs_0353bf77a6c21bf8016a3990dbc7748199b7d16f5b4f7e77ca", "type": "reasoning", "content": [], "summary": [] }, { "id": "ws_0353bf77a6c21bf8016a3990ddd1c4819998796587f7fb4927", "type": "web_search_call", "status": "completed", "action": { "type": "search", "queries": [ "Cloudflare news June 2026", "Cloudflare this week June 2026 news Cloudflare breach outage June 2026", "Cloudflare IPO news 2026 June 'Cloudflare' 'June 2026' 'announcement'" ], "query": "Cloudflare news June 2026" } }, { "id": "rs_0353bf77a6c21bf8016a3990df53dc81999d07483ac94d8c85", "type": "reasoning", "content": [], "summary": [] }, { "id": "ws_0353bf77a6c21bf8016a3990e126588199944c35eb4b3ce827", "type": "web_search_call", "status": "completed", "action": { "type": "search", "queries": [ "Cloudflare news June 2026", "Cloudflare outage June 2026", "Cloudflare security incident June 2026" ], "query": "Cloudflare news June 2026" } }, { "id": "rs_0353bf77a6c21bf8016a3990e34d508199a4144abcd991086c", "type": "reasoning", "content": [], "summary": [] }, { "id": "ws_0353bf77a6c21bf8016a3990e43d8c8199bc26696b72289725", "type": "web_search_call", "status": "completed", "action": { "type": "open_page", "url": "https://www.cloudflarestatus.com/" } }, { "id": "rs_0353bf77a6c21bf8016a3990e59ae48199b6ba9d1f7337f25c", "type": "reasoning", "content": [], "summary": [] }, { "id": "ws_0353bf77a6c21bf8016a3990e9b440819998ba8376759a1a54", "type": "web_search_call", "status": "completed", "action": { "type": "search", "queries": [ "Cloudflare One Design Partner AI toolkit announcement June 2026 Cloudflare press release", "Cloudflare 'Design Partner' 'Cloudflare One' June 17 2026 press release" ], "query": "Cloudflare One Design Partner AI toolkit announcement June 2026 Cloudflare press release" } }, { "id": "rs_0353bf77a6c21bf8016a3990ec1a1481998070b84eb2a654a0", "type": "reasoning", "content": [], "summary": [] }, { "id": "msg_0353bf77a6c21bf8016a3990f499108199bd7021505470de8c", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [ { "type": "url_citation", "end_index": 386, "start_index": 327, "title": "Cloudflare Status", "url": "https://www.cloudflarestatus.com/" }, { "type": "url_citation", "end_index": 633, "start_index": 574, "title": "Cloudflare Status", "url": "https://www.cloudflarestatus.com/" }, { "type": "url_citation", "end_index": 1016, "start_index": 852, "title": "Cloudflare launches new partner initiative to support AI and SASE adoption", "url": "https://www.itpro.com/technology/artificial-intelligence/cloudflare-launches-new-partner-initiative-to-support-ai-and-sase-adoption?utm_source=openai" } ], "logprobs": [], "text": "Do you mean this calendar week (June 16\u201322, 2026)? Assuming yes \u2014 here are the three top Cloudflare stories from June 16\u201322, 2026:\n\n- Jun 22, 2026 \u2014 Eastern North America fiber cut caused increased error rates/latency and a partial degradation across Cloudflare services; engineers re\u2011routed traffic and mitigated most impact. ([cloudflarestatus.com](https://www.cloudflarestatus.com/)) \n- Jun 16, 2026 \u2014 Cloudflare reported degraded availability for some Workers AI models (affecting specific @cf/moonshotai models), which Cloudflare investigated and partially mitigated. ([cloudflarestatus.com](https://www.cloudflarestatus.com/)) \n- Jun 17\u201318, 2026 \u2014 Cloudflare launched a Cloudflare One \u201cDesign Partner\u201d designation and an AI\u2011powered toolkit (Cloudflare One Stack) to speed SASE/Zero\u2011Trust and AI security migrations via select channel partners. ([itpro.com](https://www.itpro.com/technology/artificial-intelligence/cloudflare-launches-new-partner-initiative-to-support-ai-and-sase-adoption?utm_source=openai))\n\nWant me to expand any item (impacts, affected customers, timelines) or fetch more sources?" } ], "role": "assistant" } ], "status": "completed", "usage": { "input_tokens": 19586, "output_tokens": 1796, "total_tokens": 21382, "input_tokens_details": { "cached_tokens": 0 }, "output_tokens_details": { "reasoning_tokens": 1344 } }, "background": false, "billing": { "payer": "developer" }, "completed_at": 1782157560, "error": null, "frequency_penalty": 0, "incomplete_details": null, "instructions": null, "max_output_tokens": 4096, "max_tool_calls": null, "moderation": null, "parallel_tool_calls": true, "presence_penalty": 0, "previous_response_id": null, "prompt_cache_key": null, "prompt_cache_retention": "in_memory", "reasoning": { "context": "current_turn", "effort": "medium", "summary": null }, "safety_identifier": null, "service_tier": "default", "store": false, "temperature": 1, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "tool_choice": "auto", "tools": [ { "type": "web_search_preview", "search_content_types": [ "text" ], "search_context_size": "medium", "user_location": { "type": "approximate", "city": null, "country": "US", "region": null, "timezone": null } } ], "top_logprobs": 0, "top_p": 1, "truncation": "disabled", "user": null, "metadata": {}, "gatewayMetadata": { "keySource": "Unified" } }, "code_snippets": [ { "label": "typescript", "language": "typescript", "code": "const response = await env.AI.run(\n 'openai/gpt-5-mini',\n {\n input: 'What were the top news stories about Cloudflare this week? Summarise in three bullets.',\n max_output_tokens: 4096,\n tools: [{ type: 'web_search_preview' }],\n },\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 $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-5-mini\",\n \"input\": \"What were the top news stories about Cloudflare this week? Summarise in three bullets.\",\n \"max_output_tokens\": 4096,\n \"tools\": [\n {\n \"type\": \"web_search_preview\"\n }\n ]\n}'" } ] } ], "default_example": null, "code_snippets": [], "supports_async": false, "zdr": true, "zdr_comment": null, "external_info": "https://openai.com/", "terms": "https://openai.com/policies/", "cover_image_url": "https://pub-26f1392c1b674324be6786695bd72257.r2.dev/openai/gpt-5-mini.png", "metadata": { "Architecture": "Transformer", "fedrampAvailable": "true" }, "request_formats": [ "responses", "chat-completions" ], "providers": null, "provider_details": [ { "id": "openai", "pricing": { "input_tokens": 0.25, "output_tokens": 2, "input_cached_tokens": 0.025 } } ], "banner": null, "created_at": "2026-05-22 17:53:30", "schema": { "input": { "$schema": "https://json-schema.org/draft/2020-12/schema", "oneOf": [ { "type": "object", "properties": { "input": { "anyOf": [ { "type": "string" }, { "type": "array", "items": {} } ] }, "instructions": { "type": "string" }, "temperature": { "type": "number", "minimum": 0, "maximum": 2 }, "max_output_tokens": { "type": "number", "exclusiveMinimum": 0 }, "top_p": { "type": "number", "minimum": 0, "maximum": 1 }, "stream": { "type": "boolean" }, "tools": { "type": "array", "items": {} }, "tool_choice": {}, "text": { "type": "object", "properties": { "format": {} }, "additionalProperties": {} }, "reasoning": { "type": "object", "properties": { "effort": { "description": "Reasoning effort; availability and accepted values are model-dependent.", "type": "string", "enum": [ "none", "low", "medium", "high", "xhigh", "max" ] } }, "additionalProperties": {} } }, "required": [ "input" ], "additionalProperties": {}, "title": "Responses" }, { "type": "object", "properties": { "messages": { "type": "array", "items": { "type": "object", "properties": { "role": { "type": "string", "enum": [ "system", "developer", "user", "assistant", "tool" ] }, "content": { "anyOf": [ { "type": "string" }, { "type": "null" }, { "type": "array", "items": {} } ] } }, "required": [ "role" ], "additionalProperties": {} } }, "temperature": { "type": "number", "minimum": 0, "maximum": 2 }, "max_tokens": { "type": "number", "exclusiveMinimum": 0 }, "max_completion_tokens": { "type": "number", "exclusiveMinimum": 0 }, "top_p": { "type": "number", "minimum": 0, "maximum": 1 }, "frequency_penalty": { "type": "number", "minimum": -2, "maximum": 2 }, "presence_penalty": { "type": "number", "minimum": -2, "maximum": 2 }, "stream": { "type": "boolean" }, "stream_options": { "type": "object", "properties": { "include_usage": { "type": "boolean" } }, "additionalProperties": false }, "tools": { "type": "array", "items": {} }, "tool_choice": {}, "response_format": {}, "modalities": { "type": "array", "items": { "type": "string", "enum": [ "text", "audio" ] } }, "audio": { "type": "object", "properties": { "voice": { "type": "string", "enum": [ "alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse" ] }, "format": { "type": "string", "enum": [ "wav", "mp3", "flac", "opus", "pcm16" ] } }, "additionalProperties": false }, "reasoning_effort": { "description": "Optional reasoning control; availability and accepted values are model-dependent.", "type": [ "string", "null" ] } }, "required": [ "messages" ], "additionalProperties": {}, "title": "Chat Completions" } ] }, "output": { "$schema": "https://json-schema.org/draft/2020-12/schema", "oneOf": [ { "type": "object", "properties": { "id": { "type": "string" }, "object": { "type": "string", "const": "response" }, "created_at": { "type": "number" }, "model": { "type": "string" }, "output": { "type": "array", "items": {} }, "output_text": { "type": "string" }, "status": { "type": "string", "enum": [ "in_progress", "completed", "failed", "incomplete" ] }, "usage": { "type": "object", "properties": { "input_tokens": { "type": "number" }, "output_tokens": { "type": "number" }, "total_tokens": { "type": "number" } }, "required": [ "input_tokens", "output_tokens", "total_tokens" ], "additionalProperties": {} } }, "required": [ "id", "object", "created_at", "model", "output" ], "additionalProperties": {}, "title": "Responses" }, { "type": "object", "properties": { "id": { "type": "string" }, "object": { "type": "string" }, "created": { "type": "number" }, "model": { "type": "string" }, "choices": { "type": "array", "items": { "type": "object", "properties": { "index": { "type": "number" }, "message": { "type": "object", "properties": { "role": { "type": "string" }, "content": { "type": [ "string", "null" ] }, "tool_calls": { "anyOf": [ { "type": "array", "items": {} }, { "type": "null" } ] }, "audio": { "anyOf": [ { "type": "object", "properties": { "id": { "type": "string" }, "data": { "type": "string" }, "expires_at": { "type": "number" }, "transcript": { "type": "string" } }, "additionalProperties": {} }, { "type": "null" } ] } }, "required": [ "role" ], "additionalProperties": {} }, "finish_reason": { "type": [ "string", "null" ] } }, "required": [ "index", "message", "finish_reason" ], "additionalProperties": {} } }, "usage": { "type": "object", "properties": { "prompt_tokens": { "type": "number" }, "completion_tokens": { "type": "number" }, "total_tokens": { "type": "number" } }, "required": [ "prompt_tokens", "completion_tokens", "total_tokens" ], "additionalProperties": {} } }, "required": [ "id", "object", "created", "model", "choices" ], "additionalProperties": {}, "title": "Chat Completions" } ] } } }