Message Output Formats.json

{"async_status":null,"conversation_id":"673869fe-28c0-8005-954a-d928ea25b737","conversation_origin":null,"conversation_template_id":null,"create_time":1731750398.318763,"current_node":"22baffba-ee8c-40ef-ae26-14396c96901b","default_model_slug":"gpt-4o-canmore","gizmo_id":null,"is_archived":false,"mapping":{"22baffba-ee8c-40ef-ae26-14396c96901b":{"children":[],"id":"22baffba-ee8c-40ef-ae26-14396c96901b","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["我已经重新生成了代码，并稍微调整了输入参数的值（将 n 改为 6），以确保内容有所不同。如果你有其他的修改需求或者想要查看更多内容，随时告诉我！"]},"create_time":1731751066.226155,"end_turn":true,"id":"22baffba-ee8c-40ef-ae26-14396c96901b","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200002],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"}],"parent_id":"6a759713-fc48-41c3-b0b2-c4700e04e937","request_id":"8e369e3fef85d7a8-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"6a759713-fc48-41c3-b0b2-c4700e04e937"},"2538cebd-f451-4cb5-853c-734e4183c57d":{"children":["aaa2b33c-4fdf-496e-9556-0867a4848bb7"],"id":"2538cebd-f451-4cb5-853c-734e4183c57d","message":{"author":{"metadata":{},"name":null,"role":"system"},"channel":null,"content":{"content_type":"text","parts":[""]},"create_time":1731751004.566771,"end_turn":null,"id":"2538cebd-f451-4cb5-853c-734e4183c57d","metadata":{"is_visually_hidden_from_conversation":true,"message_source":null,"message_type":null,"request_id":"8e369ce11d2e1020-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"9abaaa96-3c7b-4e17-a3da-5d5d4929bc38"},"2d7f7397-b618-4979-b15a-5c681918010e":{"children":["7999a575-bfc5-4349-b6b1-72426ac00496"],"id":"2d7f7397-b618-4979-b15a-5c681918010e","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["{\n  \"name\": \"canvas_code_demo\",\n  \"type\": \"code/python\",\n  \"content\": \"def fibonacci(n):\\n    \\\"\\\"\\\"\\n    计算第 n 个斐波那契数。\\n    :param n: 需要计算的斐波那契数的索引（从 0 开始）\\n    :return: 第 n 个斐波那契数\\n    \\\"\\\"\\\"\\n    if n \u003c= 0:\\n        return 0\\n    elif n == 1:\\n        return 1\\n    else:\\n        a, b = 0, 1\\n        for _ in range(2, n + 1):\\n            a, b = b, a + b\\n        return b\\n\\n# 示例用法\\nn = 10\\nprint(f\\\"第 {n} 个斐波那契数是: {fibonacci(n)}\\\")\"\n}"]},"create_time":1731750495.595706,"end_turn":false,"id":"2d7f7397-b618-4979-b15a-5c681918010e","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200007],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-mini"}],"parent_id":"aaa2b180-ec0e-4f6a-b3ac-40c70df01935","request_id":"8e369057ecb11005-LAX","sonic_classification_result":{"latency_ms":11202625523.532953,"search_prob":0},"timestamp_":"absolute"},"recipient":"canmore.create_textdoc","status":"finished_successfully","update_time":null,"weight":1},"parent":"aaa2b180-ec0e-4f6a-b3ac-40c70df01935"},"2d9b2e6c-6f3b-4292-a3c6-f5ad0553b47e":{"children":["52ce782d-1a0f-4e8a-bd46-a7e74408ce90"],"id":"2d9b2e6c-6f3b-4292-a3c6-f5ad0553b47e","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["是的！我可以使用两种不同的形式来展示 LaTeX 公式：行内公式和独立行公式。以下是两者的示例：\n\n### 1. 行内公式\n行内公式用于在文本中直接插入数学表达式。它们通常比较短，并与文字保持在同一行中。\n\n**示例：**  \n牛顿的第二定律是 \\( F = ma \\)，这里 \\( F \\) 是力，\\( m \\) 是质量，\\( a \\) 是加速度。\n\n### 2. 独立行公式\n独立行公式通常用于表示更复杂的数学表达式或当公式需要突出显示时。它们会以单独的段落形式展示。\n\n**示例：**  \n$$\nE = mc^2\n$$\n\n或者一个积分公式：\n$$\n\\int_0^\\infty e^{-x} \\, dx = 1\n$$\n\n这两种展示方式可以帮助更好地根据上下文需求呈现数学公式。行内公式适合短小的数学符号，而独立行公式适合较为复杂、需要强调的数学表达式。"]},"create_time":1731750447.466453,"end_turn":true,"id":"2d9b2e6c-6f3b-4292-a3c6-f5ad0553b47e","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200002],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-mini"}],"parent_id":"aaa279cb-1855-402a-8ccd-ded326c4077b","request_id":"8e368f367b332f11-LAX","sonic_classification_result":{"latency_ms":3578700838.26565,"search_prob":0},"timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"aaa279cb-1855-402a-8ccd-ded326c4077b"},"3977fe8b-9147-4e5f-aa65-2bd94c107735":{"children":["80537d39-4d05-4a62-ba9a-b11c85ce0db1"],"id":"3977fe8b-9147-4e5f-aa65-2bd94c107735","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["{\n  \"name\": \"prime_check_function\",\n  \"type\": \"code/python\",\n  \"content\": \"def is_prime(num):\\n    \\\"\\\"\\\"\\n    判断一个数是否为质数。\\n    :param num: 需要判断的整数\\n    :return: 如果是质数则返回 True，否则返回 False\\n    \\\"\\\"\\\"\\n    if num \u003c= 1:\\n        return False\\n    for i in range(2, int(num**0.5) + 1):\\n        if num % i == 0:\\n            return False\\n    return True\\n\\n# 示例用法\\nnumber = 29\\nprint(f\\\"{number} 是否为质数: {is_prime(number)}\\\")\"\n}"]},"create_time":1731751010.863782,"end_turn":false,"id":"3977fe8b-9147-4e5f-aa65-2bd94c107735","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200007],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"}],"parent_id":"aaa2b33c-4fdf-496e-9556-0867a4848bb7","request_id":"8e369ce11d2e1020-LAX","sonic_classification_result":{"latency_ms":5619607009.133986,"search_prob":0},"timestamp_":"absolute"},"recipient":"canmore.create_textdoc","status":"finished_successfully","update_time":null,"weight":1},"parent":"aaa2b33c-4fdf-496e-9556-0867a4848bb7"},"41752f4b-f495-4bf5-ab3b-a7c18953f9bd":{"children":["b249e192-4fd5-4dbe-a6d0-9112a4132050"],"id":"41752f4b-f495-4bf5-ab3b-a7c18953f9bd","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["{\n  \"name\": \"factorial_function\",\n  \"type\": \"code/python\",\n  \"content\": \"def factorial(n):\\n    \\\"\\\"\\\"\\n    计算整数 n 的阶乘。\\n    :param n: 非负整数\\n    :return: n 的阶乘\\n    \\\"\\\"\\\"\\n    if n \u003c 0:\\n        raise ValueError(\\\"n 必须是非负整数\\\")\\n    elif n == 0 or n == 1:\\n        return 1\\n    else:\\n        result = 1\\n        for i in range(2, n + 1):\\n            result *= i\\n        return result\\n\\n# 示例用法\\nn = 5\\nprint(f\\\"{n} 的阶乘是: {factorial(n)}\\\")\"\n}"]},"create_time":1731751010.863968,"end_turn":false,"id":"41752f4b-f495-4bf5-ab3b-a7c18953f9bd","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200007],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o-mini"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"gpt-4o"}],"parent_id":"80537d39-4d05-4a62-ba9a-b11c85ce0db1","request_id":"8e369ce11d2e1020-LAX","timestamp_":"absolute"},"recipient":"canmore.create_textdoc","status":"finished_successfully","update_time":null,"weight":1},"parent":"80537d39-4d05-4a62-ba9a-b11c85ce0db1"},"4a97ecc5-19a7-4687-9570-89c2976d4496":{"children":["aaa20cc6-598c-46cb-9ace-d04f9b57e46b"],"id":"4a97ecc5-19a7-4687-9570-89c2976d4496","message":{"author":{"metadata":{},"name":null,"role":"system"},"channel":null,"content":{"content_type":"text","parts":[""]},"create_time":1731750398.322345,"end_turn":null,"id":"4a97ecc5-19a7-4687-9570-89c2976d4496","metadata":{"is_visually_hidden_from_conversation":true,"message_source":null,"message_type":null,"request_id":"8e368e13f973cb7e-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"d198eae9-a7f1-46c2-94ca-8db825faee73"},"4e5a7bfb-44f0-4583-a1d9-0d1e0b0eef5f":{"children":["eb5aac07-cec3-4628-b032-f5d7b4a7ce7b"],"id":"4e5a7bfb-44f0-4583-a1d9-0d1e0b0eef5f","message":{"author":{"metadata":{},"name":"canmore.update_textdoc","role":"tool"},"channel":null,"content":{"content_type":"text","parts":["Failed with error. Fix the error and try again before replying to the user.\n\nupdates.0.pattern: replacement content is equivalent to the existing content for pattern: /.*/\nensure the replacement content differs from the previous content"]},"create_time":1731751066.225739,"end_turn":null,"id":"4e5a7bfb-44f0-4583-a1d9-0d1e0b0eef5f","metadata":{"canvas":{"error_type":"equiv_rewrite","is_failure":true,"textdoc_id":"67386c61cd848191b83794005fb95c8d"},"command":"update_textdoc","default_model_slug":"gpt-4o-canmore","message_type":null,"model_slug":"gpt-4o-canmore","parent_id":"ad3555e8-2b6e-42e1-bfd5-84e03cb6c293","request_id":"8e369e3fef85d7a8-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":0},"parent":"ad3555e8-2b6e-42e1-bfd5-84e03cb6c293"},"52ce782d-1a0f-4e8a-bd46-a7e74408ce90":{"children":["aaa2b180-ec0e-4f6a-b3ac-40c70df01935"],"id":"52ce782d-1a0f-4e8a-bd46-a7e74408ce90","message":{"author":{"metadata":{},"name":null,"role":"system"},"channel":null,"content":{"content_type":"text","parts":[""]},"create_time":1731750491.032402,"end_turn":null,"id":"52ce782d-1a0f-4e8a-bd46-a7e74408ce90","metadata":{"is_visually_hidden_from_conversation":true,"message_source":null,"message_type":null,"request_id":"8e369057ecb11005-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"2d9b2e6c-6f3b-4292-a3c6-f5ad0553b47e"},"5c40866c-f1cc-4723-b4fa-45e43f75947a":{"children":["aaa279cb-1855-402a-8ccd-ded326c4077b"],"id":"5c40866c-f1cc-4723-b4fa-45e43f75947a","message":{"author":{"metadata":{},"name":null,"role":"system"},"channel":null,"content":{"content_type":"text","parts":[""]},"create_time":1731750444.733704,"end_turn":null,"id":"5c40866c-f1cc-4723-b4fa-45e43f75947a","metadata":{"is_visually_hidden_from_conversation":true,"message_source":null,"message_type":null,"request_id":"8e368f367b332f11-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":1},"parent":"b0598bc1-0d1b-40bf-a335-c3ab80f8c30e"},"6a759713-fc48-41c3-b0b2-c4700e04e937":{"children":["22baffba-ee8c-40ef-ae26-14396c96901b"],"id":"6a759713-fc48-41c3-b0b2-c4700e04e937","message":{"author":{"metadata":{},"name":"canmore.update_textdoc","role":"tool"},"channel":null,"content":{"content_type":"text","parts":["{\"result\": \"Successfully updated text document with textdoc_id '67386c61cd848191b83794005fb95c8d'\", \"textdoc_id\": \"67386c61cd848191b83794005fb95c8d\"}"]},"create_time":1731751066.22604,"end_turn":null,"id":"6a759713-fc48-41c3-b0b2-c4700e04e937","metadata":{"canvas":{"from_version":1,"textdoc_id":"67386c61cd848191b83794005fb95c8d","textdoc_type":"code/python","version":2},"command":"update_textdoc","default_model_slug":"gpt-4o-canmore","message_type":null,"model_slug":"gpt-4o-canmore","parent_id":"eb5aac07-cec3-4628-b032-f5d7b4a7ce7b","request_id":"8e369e3fef85d7a8-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":0},"parent":"eb5aac07-cec3-4628-b032-f5d7b4a7ce7b"},"7999a575-bfc5-4349-b6b1-72426ac00496":{"children":["9abaaa96-3c7b-4e17-a3da-5d5d4929bc38"],"id":"7999a575-bfc5-4349-b6b1-72426ac00496","message":{"author":{"metadata":{},"name":"canmore.create_textdoc","role":"tool"},"channel":null,"content":{"content_type":"text","parts":["{\"result\": \"Successfully created text document 'canvas_code_demo' which will be referenced in all future messages with the unique identifier textdoc_id: '67386a5e294881918e73944b069cbda0'\", \"textdoc_id\": \"67386a5e294881918e73944b069cbda0\", \"name\": \"canvas_code_demo\"}"]},"create_time":1731750495.595801,"end_turn":null,"id":"7999a575-bfc5-4349-b6b1-72426ac00496","metadata":{"canvas":{"textdoc_id":"67386a5e294881918e73944b069cbda0","textdoc_type":"code/python","title":"canvas_code_demo","version":1},"command":"create_textdoc","default_model_slug":"gpt-4o-canmore","message_type":null,"model_slug":"gpt-4o-canmore","parent_id":"2d7f7397-b618-4979-b15a-5c681918010e","request_id":"8e369057ecb11005-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":0},"parent":"2d7f7397-b618-4979-b15a-5c681918010e"},"80537d39-4d05-4a62-ba9a-b11c85ce0db1":{"children":["41752f4b-f495-4bf5-ab3b-a7c18953f9bd"],"id":"80537d39-4d05-4a62-ba9a-b11c85ce0db1","message":{"author":{"metadata":{},"name":"canmore.create_textdoc","role":"tool"},"channel":null,"content":{"content_type":"text","parts":["{\"result\": \"Successfully created text document 'prime_check_function' which will be referenced in all future messages with the unique identifier textdoc_id: '67386c5fb4fc81919c85b7e1e486ca12'\", \"textdoc_id\": \"67386c5fb4fc81919c85b7e1e486ca12\", \"name\": \"prime_check_function\"}"]},"create_time":1731751010.863897,"end_turn":null,"id":"80537d39-4d05-4a62-ba9a-b11c85ce0db1","metadata":{"canvas":{"textdoc_id":"67386c5fb4fc81919c85b7e1e486ca12","textdoc_type":"code/python","title":"prime_check_function","version":1},"command":"create_textdoc","default_model_slug":"gpt-4o-canmore","message_type":null,"model_slug":"gpt-4o-canmore","parent_id":"3977fe8b-9147-4e5f-aa65-2bd94c107735","request_id":"8e369ce11d2e1020-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":0},"parent":"3977fe8b-9147-4e5f-aa65-2bd94c107735"},"9abaaa96-3c7b-4e17-a3da-5d5d4929bc38":{"children":["2538cebd-f451-4cb5-853c-734e4183c57d"],"id":"9abaaa96-3c7b-4e17-a3da-5d5d4929bc38","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["这是一个简单的 Python 代码段，计算斐波那契数列的第 n 项。你可以在上面的 Canvas 中看到这个代码，并进行进一步的修改或探索。需要我解释这个代码的任何部分吗？"]},"create_time":1731750495.595862,"end_turn":true,"id":"9abaaa96-3c7b-4e17-a3da-5d5d4929bc38","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200002],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"regenerate","description":"This model doesn't support 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 \"updates\": [\n    {\n      \"pattern\": \".*\",\n      \"multiple\": false,\n      \"replacement\": \"def factorial(n):\\n    \\\"\\\"\\\"\\n    计算整数 n 的阶乘。\\n    :param n: 非负整数\\n    :return: n 的阶乘\\n    \\\"\\\"\\\"\\n    if n \u003c 0:\\n        raise ValueError(\\\"n 必须是非负整数\\\")\\n    elif n == 0 or n == 1:\\n        return 1\\n    else:\\n        result = 1\\n        for i in range(2, n + 1):\\n            result *= i\\n        return result\\n\\n# 示例用法\\nn = 5\\nprint(f\\\"{n} 的阶乘是: {factorial(n)}\\\")\"\n    }\n  ]\n}"]},"create_time":1731751066.225524,"end_turn":false,"id":"ad3555e8-2b6e-42e1-bfd5-84e03cb6c293","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200007],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support 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学习Python\n2. 学习数据分析\n3. 练习项目\n\n**无序列表示例：**\n- 牛奶\n- 鸡蛋\n- 面包\n\n---\n\n### 3. 代码段\n我可以以多种编程语言的格式输出代码片段。\n\n**Python 代码示例：**\n```python\ndef greet(name):\n    return f\"Hello, {name}!\"\n\nprint(greet(\"Alice\"))\n```\n\n**JavaScript 代码示例：**\n```javascript\nfunction greet(name) {\n    return `Hello, ${name}!`;\n}\n\nconsole.log(greet(\"Alice\"));\n```\n\n---\n\n### 4. 表格\n我可以以类似于表格的形式展示数据。\n\n| 名称   | 年龄 | 城市     |\n| ------ | ---- | -------- |\n| Alice  | 25   | 纽约     |\n| Bob    | 30   | 伦敦     |\n| Charlie| 22   | 北京     |\n\n---\n\n### 5. Markdown 文本\n我可以使用 Markdown 来创建标题、加粗、斜体等。\n\n**示例：**\n- **加粗文本**：这是一个加粗示例。\n- *斜体文本*：这是一个斜体示例。\n- `行内代码`：这是一个行内代码示例。\n\n---\n\n### 6. 引用块\n我可以显示引用块，用于强调某些内容或引述。\n\n**示例：**\n\u003e “知识就是力量。” - 弗朗西斯·培根\n\n---\n\n### 7. 数学公式\n我可以展示数学公式，使用 LaTeX 语法。\n\n**示例：**\n$$\nE = mc^2\n$$\n\n---\n\n### 8. Canvas 文档（长篇文本或代码文件）\n我可以生成较长的内容，如文章、报告、或者复杂的代码文件，并在一个独立的“文档”视图中展示出来。用户可以与文档交互进行编辑。\n\n**示例：**\n这是一个长篇内容的开始，适用于写作、报告、或者详细的代码讨论。\n（这种类型的消息不会在这里直接展示，而是会在“Canvas”中单独显示）\n\n---\n\n这些是我常用的输出格式类型，涵盖了从普通文本到代码段、表格等多种样式。如果你有特别的输出需求，可以告诉我！"]},"create_time":1731750404.624102,"end_turn":true,"id":"b0598bc1-0d1b-40bf-a335-c3ab80f8c30e","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200002],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support images.","reason":"unsupported_image","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't 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\"factorial_function\"}"]},"create_time":1731751010.864029,"end_turn":null,"id":"b249e192-4fd5-4dbe-a6d0-9112a4132050","metadata":{"canvas":{"textdoc_id":"67386c61cd848191b83794005fb95c8d","textdoc_type":"code/python","title":"factorial_function","version":1},"command":"create_textdoc","default_model_slug":"gpt-4o-canmore","message_type":null,"model_slug":"gpt-4o-canmore","parent_id":"41752f4b-f495-4bf5-ab3b-a7c18953f9bd","request_id":"8e369ce11d2e1020-LAX","timestamp_":"absolute"},"recipient":"all","status":"finished_successfully","update_time":null,"weight":0},"parent":"41752f4b-f495-4bf5-ab3b-a7c18953f9bd"},"b9377277-730b-4d02-9ea0-626518a41dd7":{"children":["cb2075ad-b64b-4f4d-bd77-549e2fefeaf7"],"id":"b9377277-730b-4d02-9ea0-626518a41dd7","message":{"author":{"metadata":{},"name":null,"role":"assistant"},"channel":null,"content":{"content_type":"text","parts":["我已经创建了两个 Canvas，分别展示了两个代码段：\n\n1. **prime_check_function**: 用于判断一个数是否为质数。\n2. **factorial_function**: 用于计算一个数的阶乘。\n\n你可以在这些 Canvas 中查看并进一步修改代码。如有问题或需要进一步的帮助，请告诉我！"]},"create_time":1731751010.864089,"end_turn":true,"id":"b9377277-730b-4d02-9ea0-626518a41dd7","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200002],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-preview"},{"context":"regenerate","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"conversation","description":"This model doesn't support canvas.","reason":"unsupported_canvas","slug":"o1-mini"},{"context":"regenerate","description":"This model doesn't support 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 \"updates\": [\n    {\n      \"pattern\": \".*\",\n      \"multiple\": false,\n      \"replacement\": \"def factorial(n):\\n    \\\"\\\"\\\"\\n    计算整数 n 的阶乘。\\n    :param n: 非负整数\\n    :return: n 的阶乘\\n    \\\"\\\"\\\"\\n    if n \u003c 0:\\n        raise ValueError(\\\"n 必须是非负整数\\\")\\n    elif n == 0 or n == 1:\\n        return 1\\n    else:\\n        result = 1\\n        for i in range(2, n + 1):\\n            result *= i\\n        return result\\n\\n# 示例用法\\nn = 6\\nprint(f\\\"{n} 的阶乘是: {factorial(n)}\\\")\"\n    }\n  ]\n}"]},"create_time":1731751066.225878,"end_turn":false,"id":"eb5aac07-cec3-4628-b032-f5d7b4a7ce7b","metadata":{"citations":[],"content_references":[],"default_model_slug":"gpt-4o-canmore","finish_details":{"stop_tokens":[200007],"type":"stop"},"is_complete":true,"message_type":null,"model_slug":"gpt-4o-canmore","model_switcher_deny":[{"context":"regenerate","description":"This model doesn't support 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