diff --git a/burr/tracking/server/backend.py b/burr/tracking/server/backend.py index 7f7eeba0..5dcbc22d 100644 --- a/burr/tracking/server/backend.py +++ b/burr/tracking/server/backend.py @@ -244,7 +244,7 @@ async def list_apps( ) -> Tuple[Sequence[ApplicationSummary], int]: project_filepath = os.path.join(self.path, project_id) if not os.path.exists(project_filepath): - return [] + return [], 0 # raise fastapi.HTTPException(status_code=404, detail=f"Project: {project_id} not found") out = [] for entry in await aiofilesos.listdir(project_filepath): diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git 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tall is a giraffe?","type":"text"},{"content":"A giraffe can grow up to 18 feet tall, with their legs making up about half of their height.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-dRUoBZVPApfplbhvnGdAXZfT.png?st=2024-08-27T17%3A57%3A36Z&se=2024-08-27T19%3A57%3A36Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A42%3A40Z&ske=2024-08-27T23%3A42%3A40Z&sks=b&skv=2024-08-04&sig=ILyD47OqgZ2UHC8Ubf1gULLk1hAPUEVOUyyujyGT5CA%3D","type":"image","role":"assistant"},{"role":"user","content":"If Aaron burr were an animal, would he be a giraffe?","type":"text"}],"prompt":"If Aaron burr were an animal, would he be a giraffe?","__PRIOR_STEP":"prompt"},"sequence_id":24} 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This is because giraffes are known for their long necks and heights, whereas Aaron Burr was a human historical figure known for his role as the third Vice President of the United States.","type":"text","role":"assistant"}},"sequence_id":28} +{"type":"end_span","end_time":"2024-08-27T11:57:38.744323","action_sequence_id":28,"span_id":"28:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:57:38.744393","action":"response","inputs":{},"sequence_id":29} +{"type":"end_entry","end_time":"2024-08-27T11:57:38.744530","action":"response","result":{},"exception":null,"state":{"__SEQUENCE_ID":29,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-3OLI0RWztJHcE6bI32wuaJzH.png?st=2024-08-27T17%3A57%3A21Z&se=2024-08-27T19%3A57%3A21Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A36%3A44Z&ske=2024-08-27T23%3A36%3A44Z&sks=b&skv=2024-08-04&sig=kUWLa7DKs3EwhJVDGCfMlK/zeKGkph4JDFmY7LL/Dgg%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write a function that queries the internet for the height of a giraffe","type":"text"},{"content":"Sorry, but I can't assist with that request.","type":"code","role":"assistant"},{"role":"user","content":"OK, just tell me, how tall is a giraffe?","type":"text"},{"content":"A giraffe can grow up to 18 feet tall, with their legs making up about half of their height.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-dRUoBZVPApfplbhvnGdAXZfT.png?st=2024-08-27T17%3A57%3A36Z&se=2024-08-27T19%3A57%3A36Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A42%3A40Z&ske=2024-08-27T23%3A42%3A40Z&sks=b&skv=2024-08-04&sig=ILyD47OqgZ2UHC8Ubf1gULLk1hAPUEVOUyyujyGT5CA%3D","type":"image","role":"assistant"},{"role":"user","content":"If Aaron burr were an animal, would he be a giraffe?","type":"text"},{"content":"If Aaron Burr were an animal, he would not be a giraffe. This is because giraffes are known for their long necks and heights, whereas Aaron Burr was a human historical figure known for his role as the third Vice President of the United States.","type":"text","role":"assistant"}],"prompt":"If Aaron burr were an animal, would he be a giraffe?","__PRIOR_STEP":"response","has_openai_key":true,"safe":true,"mode":"answer_question","response":{"content":"If Aaron Burr were an animal, he would not be a giraffe. This is because giraffes are known for their long necks and heights, whereas Aaron Burr was a human historical figure known for his role as the third Vice President of the United States.","type":"text","role":"assistant"}},"sequence_id":29} +{"type":"end_span","end_time":"2024-08-27T11:57:38.744583","action_sequence_id":29,"span_id":"29:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-1-giraffe/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/log.jsonl new file mode 100644 index 00000000..0988e8ec --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/log.jsonl @@ -0,0 +1,190 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:57:38.746769","action":"prompt","inputs":{"prompt":"What is the capital of France?"},"sequence_id":0} +{"type":"end_entry","end_time":"2024-08-27T11:57:38.746868","action":"prompt","result":{},"exception":null,"state":{"__SEQUENCE_ID":0,"chat_history":[{"role":"user","content":"What is the capital of France?","type":"text"}],"prompt":"What is the capital of France?","__PRIOR_STEP":"prompt"},"sequence_id":0} +{"type":"end_span","end_time":"2024-08-27T11:57:38.746906","action_sequence_id":0,"span_id":"0:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:57:38.746950","action":"check_openai_key","inputs":{},"sequence_id":1} 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If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:57:39.331228Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":3,"span_id":"3:0.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:57:39.331253Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":3,"span_id":"3:0.0","value":135,"tags":{},"time_logged":"2024-08-27T18:57:39.331263Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":3,"span_id":"3:0.0","value":2,"tags":{},"time_logged":"2024-08-27T18:57:39.331272Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":3,"span_id":"3:0.0","value":133,"tags":{},"time_logged":"2024-08-27T18:57:39.331281Z"} 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Geography!","__PRIOR_STEP":"check_safety","has_openai_key":true,"safe":true},"sequence_id":20} +{"type":"end_span","end_time":"2024-08-27T11:57:51.265203","action_sequence_id":20,"span_id":"20:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:57:51.265248","action":"decide_mode","inputs":{},"sequence_id":21} +{"type":"begin_span","start_time":"2024-08-27T11:57:51.270573","action_sequence_id":21,"span_id":"21:0.0","span_name":"openai.chat","parent_span_id":"21:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:57:51.741784","action_sequence_id":21,"span_id":"21:0.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":21,"span_id":"21:0.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:57:51.741848Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":21,"span_id":"21:0.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:57:51.741874Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":21,"span_id":"21:0.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:57:51.741888Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":21,"span_id":"21:0.0","value":"None","tags":{},"time_logged":"2024-08-27T18:57:51.741902Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":21,"span_id":"21:0.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:57:51.741913Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":21,"span_id":"21:0.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:57:51.741927Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":21,"span_id":"21:0.0","value":"system","tags":{},"time_logged":"2024-08-27T18:57:51.741936Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":21,"span_id":"21:0.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:57:51.741946Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":21,"span_id":"21:0.0","value":"user","tags":{},"time_logged":"2024-08-27T18:57:51.741957Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":21,"span_id":"21:0.0","value":"You are a chatbot. You've been prompted this: Geography! Geography! Geography!. You have the capability of responding in the following modes: answer_question, generate_image, generate_code, unknown. Please respond with *only* a single word representing the mode that most accurately corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:57:51.741965Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":21,"span_id":"21:0.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:57:51.741976Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":21,"span_id":"21:0.0","value":133,"tags":{},"time_logged":"2024-08-27T18:57:51.741985Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":21,"span_id":"21:0.0","value":1,"tags":{},"time_logged":"2024-08-27T18:57:51.741994Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":21,"span_id":"21:0.0","value":132,"tags":{},"time_logged":"2024-08-27T18:57:51.742015Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":21,"span_id":"21:0.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:57:51.742024Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":21,"span_id":"21:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:57:51.742033Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":21,"span_id":"21:0.0","value":"unknown","tags":{},"time_logged":"2024-08-27T18:57:51.742042Z"} +{"type":"end_entry","end_time":"2024-08-27T11:57:51.742139","action":"decide_mode","result":{},"exception":null,"state":{"__SEQUENCE_ID":21,"chat_history":[{"role":"user","content":"What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-qfTuE7uR3bLV90Oa06NoQuT5.png?st=2024-08-27T17%3A57%3A49Z&se=2024-08-27T19%3A57%3A49Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A21%3A52Z&ske=2024-08-27T23%3A21%3A52Z&sks=b&skv=2024-08-04&sig=izQxZOQTmanhB7El1hFYSUX0%2BlVmY61JyaRErt/Hkf8%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the circumpherence of the earth","type":"text"},{"content":"import math\nradius = 6371.0 # Radius of the Earth in kilometers\ncircumference = 2 * math.pi * radius\nprint(circumference)","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"decide_mode","has_openai_key":true,"safe":true,"mode":"unknown"},"sequence_id":21} +{"type":"end_span","end_time":"2024-08-27T11:57:51.742197","action_sequence_id":21,"span_id":"21:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:57:51.742276","action":"prompt_for_more","inputs":{},"sequence_id":22} +{"type":"end_entry","end_time":"2024-08-27T11:57:51.742392","action":"prompt_for_more","result":{},"exception":null,"state":{"__SEQUENCE_ID":22,"chat_history":[{"role":"user","content":"What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-qfTuE7uR3bLV90Oa06NoQuT5.png?st=2024-08-27T17%3A57%3A49Z&se=2024-08-27T19%3A57%3A49Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A21%3A52Z&ske=2024-08-27T23%3A21%3A52Z&sks=b&skv=2024-08-04&sig=izQxZOQTmanhB7El1hFYSUX0%2BlVmY61JyaRErt/Hkf8%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the circumpherence of the earth","type":"text"},{"content":"import math\nradius = 6371.0 # Radius of the Earth in kilometers\ncircumference = 2 * math.pi * radius\nprint(circumference)","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"prompt_for_more","has_openai_key":true,"safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":22} +{"type":"end_span","end_time":"2024-08-27T11:57:51.742437","action_sequence_id":22,"span_id":"22:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:57:51.742484","action":"response","inputs":{},"sequence_id":23} +{"type":"end_entry","end_time":"2024-08-27T11:57:51.742592","action":"response","result":{},"exception":null,"state":{"__SEQUENCE_ID":23,"chat_history":[{"role":"user","content":"What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-qfTuE7uR3bLV90Oa06NoQuT5.png?st=2024-08-27T17%3A57%3A49Z&se=2024-08-27T19%3A57%3A49Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A21%3A52Z&ske=2024-08-27T23%3A21%3A52Z&sks=b&skv=2024-08-04&sig=izQxZOQTmanhB7El1hFYSUX0%2BlVmY61JyaRErt/Hkf8%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the circumpherence of the earth","type":"text"},{"content":"import math\nradius = 6371.0 # Radius of the Earth in kilometers\ncircumference = 2 * math.pi * radius\nprint(circumference)","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"response","has_openai_key":true,"safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":23} +{"type":"end_span","end_time":"2024-08-27T11:57:51.742636","action_sequence_id":23,"span_id":"23:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-2-geography/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/log.jsonl new file mode 100644 index 00000000..3217ffbf --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/log.jsonl @@ -0,0 +1,194 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:57:51.744643","action":"prompt","inputs":{"prompt":"Please draw a free-body diagram of a block on a ramp"},"sequence_id":0} +{"type":"end_entry","end_time":"2024-08-27T11:57:51.744730","action":"prompt","result":{},"exception":null,"state":{"__SEQUENCE_ID":0,"chat_history":[{"role":"user","content":"Please draw a free-body diagram of a block on a ramp","type":"text"}],"prompt":"Please draw a free-body diagram of a block on a ramp","__PRIOR_STEP":"prompt"},"sequence_id":0} +{"type":"end_span","end_time":"2024-08-27T11:57:51.744761","action_sequence_id":0,"span_id":"0:0"} 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So, it is about 1/6th of 9.81 m/s^2, which is approximately 1.62 m/s^2.","tags":{},"time_logged":"2024-08-27T18:58:04.666925Z"} +{"type":"end_entry","end_time":"2024-08-27T11:58:04.667026","action":"answer_question","result":{},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please draw a free-body diagram of a block on a ramp","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-EZfyeclwACzSlm6NWxZL0cgR.png?st=2024-08-27T17%3A58%3A01Z&se=2024-08-27T19%3A58%3A01Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A23%3A46Z&ske=2024-08-27T23%3A23%3A46Z&sks=b&skv=2024-08-04&sig=dvVlqeZvMjqsQig/phLfIJA7UDAI2Hm1eYyaBR1Fr3Y%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the force of gravity on the moon","type":"text"},{"content":"Fg_moon = G * (mass_moon * mass_object) / (distance_moon_object ** 2)","type":"code","role":"assistant"},{"role":"user","content":"What is the force of gravity on the moon?","type":"text"}],"prompt":"What is the force of gravity on the moon?","__PRIOR_STEP":"answer_question","has_openai_key":true,"safe":true,"mode":"answer_question","response":{"content":"The force of gravity on the moon is approximately 1/6th of the force of gravity on Earth. 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You've been prompted this: Please build me a block on a ramp. You have the capability of responding in the following modes: answer_question, generate_image, generate_code, unknown. Please respond with *only* a single word representing the mode that most accurately corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:58:05.748529Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":21,"span_id":"21:0.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:58:05.748541Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":21,"span_id":"21:0.0","value":137,"tags":{},"time_logged":"2024-08-27T18:58:05.748550Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":21,"span_id":"21:0.0","value":2,"tags":{},"time_logged":"2024-08-27T18:58:05.748559Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":21,"span_id":"21:0.0","value":135,"tags":{},"time_logged":"2024-08-27T18:58:05.748568Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":21,"span_id":"21:0.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:58:05.748577Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":21,"span_id":"21:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:05.748585Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":21,"span_id":"21:0.0","value":"generate_image","tags":{},"time_logged":"2024-08-27T18:58:05.748594Z"} +{"type":"end_entry","end_time":"2024-08-27T11:58:05.748694","action":"decide_mode","result":{},"exception":null,"state":{"__SEQUENCE_ID":21,"chat_history":[{"role":"user","content":"Please draw a free-body diagram of a block on a ramp","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-EZfyeclwACzSlm6NWxZL0cgR.png?st=2024-08-27T17%3A58%3A01Z&se=2024-08-27T19%3A58%3A01Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A23%3A46Z&ske=2024-08-27T23%3A23%3A46Z&sks=b&skv=2024-08-04&sig=dvVlqeZvMjqsQig/phLfIJA7UDAI2Hm1eYyaBR1Fr3Y%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the force of gravity on the moon","type":"text"},{"content":"Fg_moon = G * (mass_moon * mass_object) / (distance_moon_object ** 2)","type":"code","role":"assistant"},{"role":"user","content":"What is the force of gravity on the moon?","type":"text"},{"content":"The force of gravity on the moon is approximately 1/6th of the force of gravity on Earth. So, it is about 1/6th of 9.81 m/s^2, which is approximately 1.62 m/s^2.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a block on a ramp","type":"text"}],"prompt":"Please build me a block on a ramp","__PRIOR_STEP":"decide_mode","has_openai_key":true,"safe":true,"mode":"generate_image"},"sequence_id":21} +{"type":"end_span","end_time":"2024-08-27T11:58:05.748751","action_sequence_id":21,"span_id":"21:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:05.748816","action":"generate_image","inputs":{},"sequence_id":22} +{"type":"end_entry","end_time":"2024-08-27T11:58:16.186370","action":"generate_image","result":{},"exception":null,"state":{"__SEQUENCE_ID":22,"chat_history":[{"role":"user","content":"Please draw a free-body diagram of a block on a ramp","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-EZfyeclwACzSlm6NWxZL0cgR.png?st=2024-08-27T17%3A58%3A01Z&se=2024-08-27T19%3A58%3A01Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A23%3A46Z&ske=2024-08-27T23%3A23%3A46Z&sks=b&skv=2024-08-04&sig=dvVlqeZvMjqsQig/phLfIJA7UDAI2Hm1eYyaBR1Fr3Y%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the force of gravity on the moon","type":"text"},{"content":"Fg_moon = G * (mass_moon * mass_object) / (distance_moon_object ** 2)","type":"code","role":"assistant"},{"role":"user","content":"What is the force of gravity on the moon?","type":"text"},{"content":"The force of gravity on the moon is approximately 1/6th of the force of gravity on Earth. So, it is about 1/6th of 9.81 m/s^2, which is approximately 1.62 m/s^2.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a block on a ramp","type":"text"}],"prompt":"Please build me a block on a ramp","__PRIOR_STEP":"generate_image","has_openai_key":true,"safe":true,"mode":"generate_image","response":{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-ykOiYCV2Q6nO3wTTBIylM8bm.png?st=2024-08-27T17%3A58%3A16Z&se=2024-08-27T19%3A58%3A16Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T18%3A21%3A39Z&ske=2024-08-28T18%3A21%3A39Z&sks=b&skv=2024-08-04&sig=PnVMnfoGWjh6MhopQx%2Bt2Wlm9mTN3T68Badxtw5JSps%3D","type":"image","role":"assistant"}},"sequence_id":22} +{"type":"end_span","end_time":"2024-08-27T11:58:16.186643","action_sequence_id":22,"span_id":"22:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:16.186730","action":"response","inputs":{},"sequence_id":23} +{"type":"end_entry","end_time":"2024-08-27T11:58:16.186872","action":"response","result":{},"exception":null,"state":{"__SEQUENCE_ID":23,"chat_history":[{"role":"user","content":"Please draw a free-body diagram of a block on a ramp","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-EZfyeclwACzSlm6NWxZL0cgR.png?st=2024-08-27T17%3A58%3A01Z&se=2024-08-27T19%3A58%3A01Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A23%3A46Z&ske=2024-08-27T23%3A23%3A46Z&sks=b&skv=2024-08-04&sig=dvVlqeZvMjqsQig/phLfIJA7UDAI2Hm1eYyaBR1Fr3Y%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the force of gravity on the moon","type":"text"},{"content":"Fg_moon = G * (mass_moon * mass_object) / (distance_moon_object ** 2)","type":"code","role":"assistant"},{"role":"user","content":"What is the force of gravity on the moon?","type":"text"},{"content":"The force of gravity on the moon is approximately 1/6th of the force of gravity on Earth. So, it is about 1/6th of 9.81 m/s^2, which is approximately 1.62 m/s^2.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a block on a ramp","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-ykOiYCV2Q6nO3wTTBIylM8bm.png?st=2024-08-27T17%3A58%3A16Z&se=2024-08-27T19%3A58%3A16Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T18%3A21%3A39Z&ske=2024-08-28T18%3A21%3A39Z&sks=b&skv=2024-08-04&sig=PnVMnfoGWjh6MhopQx%2Bt2Wlm9mTN3T68Badxtw5JSps%3D","type":"image","role":"assistant"}],"prompt":"Please build me a block on a ramp","__PRIOR_STEP":"response","has_openai_key":true,"safe":true,"mode":"generate_image","response":{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-ykOiYCV2Q6nO3wTTBIylM8bm.png?st=2024-08-27T17%3A58%3A16Z&se=2024-08-27T19%3A58%3A16Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T18%3A21%3A39Z&ske=2024-08-28T18%3A21%3A39Z&sks=b&skv=2024-08-04&sig=PnVMnfoGWjh6MhopQx%2Bt2Wlm9mTN3T68Badxtw5JSps%3D","type":"image","role":"assistant"}},"sequence_id":23} +{"type":"end_span","end_time":"2024-08-27T11:58:16.186940","action_sequence_id":23,"span_id":"23:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-3-physics/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/log.jsonl new file mode 100644 index 00000000..c099f6c2 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/log.jsonl @@ -0,0 +1,157 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:58:16.191191","action":"prompt","inputs":{"prompt":"Please draw a picture of a philosopher"},"sequence_id":0} +{"type":"end_entry","end_time":"2024-08-27T11:58:16.191426","action":"prompt","result":{},"exception":null,"state":{"__SEQUENCE_ID":0,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"}],"prompt":"Please draw a picture of a philosopher","__PRIOR_STEP":"prompt"},"sequence_id":0} +{"type":"end_span","end_time":"2024-08-27T11:58:16.191509","action_sequence_id":0,"span_id":"0:0"} 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philosopher","__PRIOR_STEP":"check_safety","has_openai_key":true,"safe":true},"sequence_id":2} +{"type":"end_span","end_time":"2024-08-27T11:58:16.192116","action_sequence_id":2,"span_id":"2:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:16.192199","action":"decide_mode","inputs":{},"sequence_id":3} +{"type":"begin_span","start_time":"2024-08-27T11:58:16.205018","action_sequence_id":3,"span_id":"3:0.0","span_name":"openai.chat","parent_span_id":"3:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:16.739158","action_sequence_id":3,"span_id":"3:0.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":3,"span_id":"3:0.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:58:16.739229Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":3,"span_id":"3:0.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:58:16.739258Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":3,"span_id":"3:0.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:58:16.739275Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":3,"span_id":"3:0.0","value":"None","tags":{},"time_logged":"2024-08-27T18:58:16.739291Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":3,"span_id":"3:0.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:58:16.739304Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":3,"span_id":"3:0.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:58:16.739321Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":3,"span_id":"3:0.0","value":"system","tags":{},"time_logged":"2024-08-27T18:58:16.739334Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":3,"span_id":"3:0.0","value":"You are a helpful 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+{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":16,"span_id":"16:0.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:58:29.749687Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":16,"span_id":"16:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:29.749696Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":16,"span_id":"16:0.0","value":"The meaning of life is a philosophical and existential question that has been debated and pondered by humans for centuries. Different individuals and cultures may have varying perspectives on the meaning of life, ranging from religious and spiritual beliefs to personal and philosophical interpretations. Ultimately, the meaning of life is a deeply personal and subjective concept that each individual may interpret and discover in their own unique way.","tags":{},"time_logged":"2024-08-27T18:58:29.749705Z"} +{"type":"end_entry","end_time":"2024-08-27T11:58:29.749802","action":"answer_question","result":{},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-uiafC4pkuFXdRvhfwEY6Eryl.png?st=2024-08-27T17%3A58%3A25Z&se=2024-08-27T19%3A58%3A25Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T01%3A36%3A57Z&ske=2024-08-28T01%3A36%3A57Z&sks=b&skv=2024-08-04&sig=qgQIgLrxXhKMJpx1Q5i73PVHpkPn18doSY4N5vZGtIs%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the meaning of life (hint, its 42)","type":"text"},{"content":"Sure, here's the code:\n\n```python\nmeaning_of_life = 6 * 7\nprint(meaning_of_life)\n```","type":"code","role":"assistant"},{"role":"user","content":"What is the meaning of life?","type":"text"}],"prompt":"What is the meaning of life?","__PRIOR_STEP":"answer_question","has_openai_key":true,"safe":true,"mode":"answer_question","response":{"content":"The meaning of life is a philosophical and existential question that has been debated and pondered by humans for centuries. Different individuals and cultures may have varying perspectives on the meaning of life, ranging from religious and spiritual beliefs to personal and philosophical interpretations. Ultimately, the meaning of life is a deeply personal and subjective concept that each individual may interpret and discover in their own unique way.","type":"text","role":"assistant"}},"sequence_id":16} +{"type":"end_span","end_time":"2024-08-27T11:58:29.749864","action_sequence_id":16,"span_id":"16:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:29.749929","action":"response","inputs":{},"sequence_id":17} +{"type":"end_entry","end_time":"2024-08-27T11:58:29.750042","action":"response","result":{},"exception":null,"state":{"__SEQUENCE_ID":17,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-uiafC4pkuFXdRvhfwEY6Eryl.png?st=2024-08-27T17%3A58%3A25Z&se=2024-08-27T19%3A58%3A25Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T01%3A36%3A57Z&ske=2024-08-28T01%3A36%3A57Z&sks=b&skv=2024-08-04&sig=qgQIgLrxXhKMJpx1Q5i73PVHpkPn18doSY4N5vZGtIs%3D","type":"image","role":"assistant"},{"role":"user","content":"Please write code to compute the meaning of life (hint, its 42)","type":"text"},{"content":"Sure, here's the code:\n\n```python\nmeaning_of_life = 6 * 7\nprint(meaning_of_life)\n```","type":"code","role":"assistant"},{"role":"user","content":"What is the meaning of life?","type":"text"},{"content":"The meaning of life is a philosophical and existential question that has been debated and pondered by humans for centuries. Different individuals and cultures may have varying perspectives on the meaning of life, ranging from religious and spiritual beliefs to personal and philosophical interpretations. Ultimately, the meaning of life is a deeply personal and subjective concept that each individual may interpret and discover in their own unique way.","type":"text","role":"assistant"}],"prompt":"What is the meaning of life?","__PRIOR_STEP":"response","has_openai_key":true,"safe":true,"mode":"answer_question","response":{"content":"The meaning of life is a philosophical and existential question that has been debated and pondered by humans for centuries. Different individuals and cultures may have varying perspectives on the meaning of life, ranging from religious and spiritual beliefs to personal and philosophical interpretations. Ultimately, the meaning of life is a deeply personal and subjective concept that each individual may interpret and discover in their own unique way.","type":"text","role":"assistant"}},"sequence_id":17} +{"type":"end_span","end_time":"2024-08-27T11:58:29.750087","action_sequence_id":17,"span_id":"17:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-4-philosophy/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git 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If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:58:30.224289Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":3,"span_id":"3:0.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:58:30.224314Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":3,"span_id":"3:0.0","value":136,"tags":{},"time_logged":"2024-08-27T18:58:30.224324Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":3,"span_id":"3:0.0","value":1,"tags":{},"time_logged":"2024-08-27T18:58:30.224333Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":3,"span_id":"3:0.0","value":135,"tags":{},"time_logged":"2024-08-27T18:58:30.224342Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":3,"span_id":"3:0.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:58:30.224351Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":3,"span_id":"3:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:30.224360Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":3,"span_id":"3:0.0","value":"unknown","tags":{},"time_logged":"2024-08-27T18:58:30.224368Z"} +{"type":"end_entry","end_time":"2024-08-27T11:58:30.224444","action":"decide_mode","result":{},"exception":null,"state":{"__SEQUENCE_ID":3,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"}],"prompt":"Please draw a picture of a good joke","__PRIOR_STEP":"decide_mode","has_openai_key":true,"safe":true,"mode":"unknown"},"sequence_id":3} +{"type":"end_span","end_time":"2024-08-27T11:58:30.224487","action_sequence_id":3,"span_id":"3:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:30.224561","action":"prompt_for_more","inputs":{},"sequence_id":4} +{"type":"end_entry","end_time":"2024-08-27T11:58:30.224649","action":"prompt_for_more","result":{},"exception":null,"state":{"__SEQUENCE_ID":4,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"}],"prompt":"Please draw a picture of a good joke","__PRIOR_STEP":"prompt_for_more","has_openai_key":true,"safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. 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Please clarify?","type":"text","role":"assistant"}},"sequence_id":5} +{"type":"end_span","end_time":"2024-08-27T11:58:30.224822","action_sequence_id":5,"span_id":"5:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:30.224882","action":"prompt","inputs":{"prompt":"Please write code for an interactive knock-knock joke"},"sequence_id":6} +{"type":"end_entry","end_time":"2024-08-27T11:58:30.224968","action":"prompt","result":{},"exception":null,"state":{"__SEQUENCE_ID":6,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. 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Please clarify?","tags":{},"time_logged":"2024-08-27T18:58:33.231842Z"} +{"type":"attribute","key":"gen_ai.prompt.2.role","action_sequence_id":16,"span_id":"16:0.0","value":"user","tags":{},"time_logged":"2024-08-27T18:58:33.231851Z"} +{"type":"attribute","key":"gen_ai.prompt.2.content","action_sequence_id":16,"span_id":"16:0.0","value":"Please write code for an interactive knock-knock joke","tags":{},"time_logged":"2024-08-27T18:58:33.231864Z"} +{"type":"attribute","key":"gen_ai.prompt.3.role","action_sequence_id":16,"span_id":"16:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:33.231874Z"} +{"type":"attribute","key":"gen_ai.prompt.3.content","action_sequence_id":16,"span_id":"16:0.0","value":"```python\nprint(\"Knock, knock!\")\ninput()\nprint(\"Cow says.\")\ninput()\nprint(\"Cow says who?\")\nprint(\"Cow says moooo!\")\n```","tags":{},"time_logged":"2024-08-27T18:58:33.231883Z"} +{"type":"attribute","key":"gen_ai.prompt.4.role","action_sequence_id":16,"span_id":"16:0.0","value":"user","tags":{},"time_logged":"2024-08-27T18:58:33.231893Z"} +{"type":"attribute","key":"gen_ai.prompt.4.content","action_sequence_id":16,"span_id":"16:0.0","value":"Please answer the following question:: What is a good joke?","tags":{},"time_logged":"2024-08-27T18:58:33.231901Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":16,"span_id":"16:0.0","value":"gpt-3.5-turbo-0125","tags":{},"time_logged":"2024-08-27T18:58:33.231910Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":16,"span_id":"16:0.0","value":124,"tags":{},"time_logged":"2024-08-27T18:58:33.231919Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":16,"span_id":"16:0.0","value":23,"tags":{},"time_logged":"2024-08-27T18:58:33.231928Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":16,"span_id":"16:0.0","value":101,"tags":{},"time_logged":"2024-08-27T18:58:33.231937Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":16,"span_id":"16:0.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:58:33.231946Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":16,"span_id":"16:0.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:33.231955Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":16,"span_id":"16:0.0","value":"One good joke might be:\n\nWhy couldn't the bicycle stand up by itself?\nBecause it was two-tired!","tags":{},"time_logged":"2024-08-27T18:58:33.231963Z"} +{"type":"end_entry","end_time":"2024-08-27T11:58:33.232154","action":"answer_question","result":{},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. 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Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nprint(\"Knock, knock!\")\ninput()\nprint(\"Cow says.\")\ninput()\nprint(\"Cow says who?\")\nprint(\"Cow says moooo!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"What is a good joke?","type":"text"},{"content":"One good joke might be:\n\nWhy couldn't the bicycle stand up by itself?\nBecause it was two-tired!","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"response","has_openai_key":true,"safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":23} +{"type":"end_span","end_time":"2024-08-27T11:58:33.741332","action_sequence_id":23,"span_id":"23:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-5-jokes/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/graph.json b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/graph.json new file mode 100644 index 00000000..a6e846ab --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str) -> State:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n return (\n state.wipe(keep=[\"prompt\", \"chat_history\"])\n .append(chat_history=result[\"chat_item\"])\n .update(prompt=prompt)\n )\n", "inputs": [], "optional_inputs": ["prompt"]}, {"type": "action", "name": "check_openai_key", "reads": [], "writes": ["has_openai_key"], "code": "@action(reads=[], writes=[\"has_openai_key\"])\ndef check_openai_key(state: State) -> State:\n result = {\"has_openai_key\": \"OPENAI_API_KEY\" in os.environ}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State) -> State:\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State) -> State:\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n\n result = _get_openai_client().chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(state: State, model: str = \"dall-e-2\") -> State:\n \"\"\"Generates an image response to the prompt. Optional save function to save the image to a URL.\"\"\"\n client = _get_openai_client()\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["model"], "optional_inputs": []}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State, prepend_prompt: str, display_type: str = \"text\", model: str = \"gpt-3.5-turbo\"\n) -> State:\n chat_history = copy.deepcopy(state[\"chat_history\"])\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n client = _get_openai_client()\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n response = result.choices[0].message.content\n result = {\"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}}\n return state.update(**result)\n", "inputs": ["display_type", "model"], "optional_inputs": []}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> State:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "mode", "safe", "has_openai_key"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"mode\", \"safe\", \"has_openai_key\"], writes=[\"chat_history\"])\ndef response(state: State) -> State:\n if not state[\"has_openai_key\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"You have not set an API key for [OpenAI](https://www.openai.com). Do this \"\n \"by setting the environment variable `OPENAI_API_KEY` to your key. \"\n \"You can get a key at [OpenAI](https://platform.openai.com). \"\n \"You can still look at chat history/examples.\",\n \"type\": \"error\",\n }\n }\n elif not state[\"safe\"]:\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"error\",\n }\n }\n else:\n result = {\"chat_item\": state[\"response\"]}\n return state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": []}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_openai_key", "condition": "default"}, {"type": "transition", "from_": "check_openai_key", "to": "check_safety", "condition": "has_openai_key=True"}, {"type": "transition", "from_": "check_openai_key", "to": "response", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/log.jsonl new file mode 100644 index 00000000..47afca2f --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/log.jsonl @@ -0,0 +1,13 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:58:33.743428","action":"prompt","inputs":{"prompt":"Please draw a giraffe."},"sequence_id":0} +{"type":"end_entry","end_time":"2024-08-27T11:58:33.743522","action":"prompt","result":{},"exception":null,"state":{"__SEQUENCE_ID":0,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"prompt"},"sequence_id":0} +{"type":"end_span","end_time":"2024-08-27T11:58:33.743555","action_sequence_id":0,"span_id":"0:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:33.743595","action":"check_openai_key","inputs":{},"sequence_id":1} +{"type":"end_entry","end_time":"2024-08-27T11:58:33.743656","action":"check_openai_key","result":{},"exception":null,"state":{"__SEQUENCE_ID":1,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"check_openai_key","has_openai_key":true},"sequence_id":1} +{"type":"end_span","end_time":"2024-08-27T11:58:33.743682","action_sequence_id":1,"span_id":"1:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:33.743719","action":"check_safety","inputs":{},"sequence_id":2} +{"type":"end_entry","end_time":"2024-08-27T11:58:33.743774","action":"check_safety","result":{},"exception":null,"state":{"__SEQUENCE_ID":2,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"check_safety","has_openai_key":true,"safe":true},"sequence_id":2} +{"type":"end_span","end_time":"2024-08-27T11:58:33.743800","action_sequence_id":2,"span_id":"2:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:33.743837","action":"decide_mode","inputs":{},"sequence_id":3} +{"type":"begin_span","start_time":"2024-08-27T11:58:33.749136","action_sequence_id":3,"span_id":"3:0.0","span_name":"openai.chat","parent_span_id":"3:0","span_dependencies":[]} +{"type":"end_entry","end_time":"2024-08-27T11:58:33.892087","action":"decide_mode","result":null,"exception":"Traceback (most recent call last):\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 807, in _step\n raise e\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 793, in _step\n result, new_state = _run_single_step_action(\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 237, in _run_single_step_action\n action.run_and_update(state, **inputs), action.name\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/action.py\", line 533, in run_and_update\n return self._fn(state, **self._bound_params, **run_kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/examples/multi-modal-chatbot/application.py\", line 57, in choose_mode\n result = _get_openai_client().chat.completions.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/utils.py\", line 78, in wrapper\n return func(\n ^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/shared/chat_wrappers.py\", line 98, in chat_wrapper\n raise e\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/shared/chat_wrappers.py\", line 83, in chat_wrapper\n response = wrapped(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_utils/_utils.py\", line 277, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/resources/chat/completions.py\", line 646, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 1266, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 942, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 1046, in _request\n raise self._make_status_error_from_response(err.response) from None\nopenai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: fake. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}\n","state":{"__SEQUENCE_ID":3,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"check_safety","has_openai_key":true,"safe":true},"sequence_id":3} +{"type":"end_span","end_time":"2024-08-27T11:58:33.894874","action_sequence_id":3,"span_id":"3:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/metadata.json b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot/chat-6-demonstrate-errors/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/log.jsonl new file mode 100644 index 00000000..66c7a180 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/log.jsonl @@ -0,0 +1,428 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:58:33.909412","action":"prompt","inputs":{"prompt":"Please draw a giraffe."},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:58:33.909588","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:33.909654","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"Please draw a 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Their long necks and legs play a significant role in their impressive height, allowing them to reach the leaves at the tops of trees.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"}],"prompt":"Please build me a giraffe","__PRIOR_STEP":"prompt"},"sequence_id":15} +{"type":"end_span","end_time":"2024-08-27T11:58:49.124693","action_sequence_id":15,"span_id":"15:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:49.124736","action":"check_safety","inputs":{},"sequence_id":16} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.124775","action_sequence_id":16,"span_id":"16:0.0","span_name":"check_safety","parent_span_id":"16:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:49.124793","action_sequence_id":16,"span_id":"16:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:58:49.124867","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-LibJBOT5sWnP9INESoKUDQoJ.png?st=2024-08-27T17%3A58%3A44Z&se=2024-08-27T19%3A58%3A44Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T04%3A14%3A16Z&ske=2024-08-28T04%3A14%3A16Z&sks=b&skv=2024-08-04&sig=JeBi6eH/V3atick4AYr8ZRx8UzCa5FycZpwn/xvkmJA%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: Please write a function that queries the internet for the height of a giraffe","type":"text"},{"content":"It is not possible to write a function that queries the internet for real-time data, such as the current height of a giraffe, using the capabilities of this text-based AI. This functionality would typically involve networking, data retrieval, and possibly web scraping techniques, which are beyond the scope of the AI's capabilities. You may need to use a programming language like Python and libraries such as Requests or Beautiful Soup to achieve this task.","type":"text","role":"assistant"},{"role":"user","content":"Please answer the following question:: OK, just tell me, how tall is a giraffe?","type":"text"},{"content":"A giraffe is typically around 5.5 to 6 meters (18 to 20 feet) tall, with males usually being taller than females. Their long necks and legs play a significant role in their impressive height, allowing them to reach the leaves at the tops of trees.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"}],"prompt":"Please build me a giraffe","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":16} +{"type":"end_span","end_time":"2024-08-27T11:58:49.124903","action_sequence_id":16,"span_id":"16:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:58:49.124946","action":"decide_mode","inputs":{},"sequence_id":17} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.124983","action_sequence_id":17,"span_id":"17:0.0","span_name":"generate_prompt","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:49.125002","action_sequence_id":17,"span_id":"17:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.125032","action_sequence_id":17,"span_id":"17:0.1","span_name":"query_openai","parent_span_id":"17:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.125055","action_sequence_id":17,"span_id":"17:0.1.0","span_name":"create_openai_client","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:49.130012","action_sequence_id":17,"span_id":"17:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.130053","action_sequence_id":17,"span_id":"17:0.1.1","span_name":"query_openai","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.130092","action_sequence_id":17,"span_id":"17:0.1.1.0","span_name":"openai.chat","parent_span_id":"17:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:49.901952","action_sequence_id":17,"span_id":"17:0.1.1.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:58:49.902008Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:58:49.902035Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:58:49.902049Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:58:49.902072Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":17,"span_id":"17:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:58:49.902084Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:58:49.902098Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:58:49.902108Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:58:49.902118Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:58:49.902128Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a chatbot. You've been prompted this: Please build me a giraffe. You have the capability of responding in the following modes: answer_question, generate_image, generate_code, unknown. Please respond with *only* a single word representing the mode that most accurately corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:58:49.902137Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:58:49.902148Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":135,"tags":{},"time_logged":"2024-08-27T18:58:49.902158Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":2,"tags":{},"time_logged":"2024-08-27T18:58:49.902168Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":133,"tags":{},"time_logged":"2024-08-27T18:58:49.902177Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:58:49.902187Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:58:49.902196Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"generate_image","tags":{},"time_logged":"2024-08-27T18:58:49.902204Z"} +{"type":"end_span","end_time":"2024-08-27T11:58:49.902245","action_sequence_id":17,"span_id":"17:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":17,"span_id":"17:0.1.1","value":"generate_image","tags":{},"time_logged":"2024-08-27T18:58:49.902262Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":133,"tags":{},"time_logged":"2024-08-27T18:58:49.902273Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":135,"tags":{},"time_logged":"2024-08-27T18:58:49.902282Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":2,"tags":{},"time_logged":"2024-08-27T18:58:49.902291Z"} +{"type":"end_span","end_time":"2024-08-27T11:58:49.902309","action_sequence_id":17,"span_id":"17:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:58:49.902355","action_sequence_id":17,"span_id":"17:0.2","span_name":"process_openai_response","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:58:49.902380","action_sequence_id":17,"span_id":"17:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:58:49.902470","action":"decide_mode","result":{"mode":"generate_image"},"exception":null,"state":{"__SEQUENCE_ID":17,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-LibJBOT5sWnP9INESoKUDQoJ.png?st=2024-08-27T17%3A58%3A44Z&se=2024-08-27T19%3A58%3A44Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T04%3A14%3A16Z&ske=2024-08-28T04%3A14%3A16Z&sks=b&skv=2024-08-04&sig=JeBi6eH/V3atick4AYr8ZRx8UzCa5FycZpwn/xvkmJA%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: Please write a function that queries the internet for the height of a giraffe","type":"text"},{"content":"It is not possible to write a function that queries the internet for real-time data, such as the current height of a giraffe, using the capabilities of this text-based AI. This functionality would typically involve networking, data retrieval, and possibly web scraping techniques, which are beyond the scope of the AI's capabilities. You may need to use a programming language like Python and libraries such as Requests or Beautiful Soup to achieve this task.","type":"text","role":"assistant"},{"role":"user","content":"Please answer the following question:: OK, just tell me, how tall is a giraffe?","type":"text"},{"content":"A giraffe is typically around 5.5 to 6 meters (18 to 20 feet) tall, with males usually being taller than females. 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If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","tags":{},"time_logged":"2024-08-27T18:59:02.765681Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:02.765725","action_sequence_id":23,"span_id":"23:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":23,"span_id":"23:0.1.1","value":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","tags":{},"time_logged":"2024-08-27T18:59:02.765744Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":23,"span_id":"23:0.1.1","value":806,"tags":{},"time_logged":"2024-08-27T18:59:02.765756Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":23,"span_id":"23:0.1.1","value":904,"tags":{},"time_logged":"2024-08-27T18:59:02.765768Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":23,"span_id":"23:0.1.1","value":98,"tags":{},"time_logged":"2024-08-27T18:59:02.765778Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:02.765799","action_sequence_id":23,"span_id":"23:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:02.765848","action_sequence_id":23,"span_id":"23:0.2","span_name":"process_openai_response","parent_span_id":"23:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:02.765874","action_sequence_id":23,"span_id":"23:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:02.765977","action":"answer_question","result":{"response":{"content":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":23,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-LibJBOT5sWnP9INESoKUDQoJ.png?st=2024-08-27T17%3A58%3A44Z&se=2024-08-27T19%3A58%3A44Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T04%3A14%3A16Z&ske=2024-08-28T04%3A14%3A16Z&sks=b&skv=2024-08-04&sig=JeBi6eH/V3atick4AYr8ZRx8UzCa5FycZpwn/xvkmJA%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: Please write a function that queries the internet for the height of a giraffe","type":"text"},{"content":"It is not possible to write a function that queries the internet for real-time data, such as the current height of a giraffe, using the capabilities of this text-based AI. This functionality would typically involve networking, data retrieval, and possibly web scraping techniques, which are beyond the scope of the AI's capabilities. You may need to use a programming language like Python and libraries such as Requests or Beautiful Soup to achieve this task.","type":"text","role":"assistant"},{"role":"user","content":"Please answer the following question:: OK, just tell me, how tall is a giraffe?","type":"text"},{"content":"A giraffe is typically around 5.5 to 6 meters (18 to 20 feet) tall, with males usually being taller than females. Their long necks and legs play a significant role in their impressive height, allowing them to reach the leaves at the tops of trees.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-8NTzdtzEhKOTa8hdbtnD5XOC.png?st=2024-08-27T17%3A59%3A00Z&se=2024-08-27T19%3A59%3A00Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A31Z&ske=2024-08-28T00%3A19%3A31Z&sks=b&skv=2024-08-04&sig=8QeiKNUytIGrh%2B/UbJ16xKJ0gEhuvwZFEy2lVq7dlqg%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: If Aaron burr were an animal, would he be a giraffe?","type":"text"}],"prompt":"If Aaron burr were an animal, would he be a giraffe?","__PRIOR_STEP":"answer_question","safe":true,"mode":"answer_question","response":{"content":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","type":"text","role":"assistant"}},"sequence_id":23} +{"type":"end_span","end_time":"2024-08-27T11:59:02.766041","action_sequence_id":23,"span_id":"23:0"} +{"type":"attribute","key":"model","action_sequence_id":23,"span_id":"23:0","value":"gpt-3.5-turbo","tags":{},"time_logged":"2024-08-27T18:59:02.766056Z"} +{"type":"attribute","key":"prepend_prompt","action_sequence_id":23,"span_id":"23:0","value":"Please answer the following question:","tags":{},"time_logged":"2024-08-27T18:59:02.766068Z"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:02.766135","action":"response","inputs":{},"sequence_id":24} +{"type":"begin_span","start_time":"2024-08-27T11:59:02.766187","action_sequence_id":24,"span_id":"24:0.0","span_name":"process_response","parent_span_id":"24:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:02.766216","action_sequence_id":24,"span_id":"24:0.0.0","span_name":"safe","parent_span_id":"24:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:02.766236","action_sequence_id":24,"span_id":"24:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:02.766252","action_sequence_id":24,"span_id":"24:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:02.766342","action":"response","result":{"chat_item":{"content":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":24,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-LibJBOT5sWnP9INESoKUDQoJ.png?st=2024-08-27T17%3A58%3A44Z&se=2024-08-27T19%3A58%3A44Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T04%3A14%3A16Z&ske=2024-08-28T04%3A14%3A16Z&sks=b&skv=2024-08-04&sig=JeBi6eH/V3atick4AYr8ZRx8UzCa5FycZpwn/xvkmJA%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: Please write a function that queries the internet for the height of a giraffe","type":"text"},{"content":"It is not possible to write a function that queries the internet for real-time data, such as the current height of a giraffe, using the capabilities of this text-based AI. This functionality would typically involve networking, data retrieval, and possibly web scraping techniques, which are beyond the scope of the AI's capabilities. You may need to use a programming language like Python and libraries such as Requests or Beautiful Soup to achieve this task.","type":"text","role":"assistant"},{"role":"user","content":"Please answer the following question:: OK, just tell me, how tall is a giraffe?","type":"text"},{"content":"A giraffe is typically around 5.5 to 6 meters (18 to 20 feet) tall, with males usually being taller than females. Their long necks and legs play a significant role in their impressive height, allowing them to reach the leaves at the tops of trees.","type":"text","role":"assistant"},{"role":"user","content":"Please build me a giraffe","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-8NTzdtzEhKOTa8hdbtnD5XOC.png?st=2024-08-27T17%3A59%3A00Z&se=2024-08-27T19%3A59%3A00Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A31Z&ske=2024-08-28T00%3A19%3A31Z&sks=b&skv=2024-08-04&sig=8QeiKNUytIGrh%2B/UbJ16xKJ0gEhuvwZFEy2lVq7dlqg%3D","type":"image","role":"assistant"},{"role":"user","content":"Please answer the following question:: If Aaron burr were an animal, would he be a giraffe?","type":"text"},{"content":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","type":"text","role":"assistant"}],"prompt":"If Aaron burr were an animal, would he be a giraffe?","__PRIOR_STEP":"response","safe":true,"mode":"answer_question","response":{"content":"It's a playful and creative way to think about historical figures. If we were to imagine Aaron Burr as an animal, a giraffe may not be the most suitable comparison given the character's traits and actions. Aaron Burr was a prominent American politician and lawyer known for his controversial role in American history, most notably for his duel with Alexander Hamilton. Comparing him to a giraffe, known for its height and grace, may not capture the complexities of Aaron Burr's persona and historical significance.","type":"text","role":"assistant"}},"sequence_id":24} +{"type":"end_span","end_time":"2024-08-27T11:59:02.766395","action_sequence_id":24,"span_id":"24:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-1-giraffe/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/log.jsonl new file mode 100644 index 00000000..4e83de8a --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/log.jsonl @@ -0,0 +1,310 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:59:02.770128","action":"prompt","inputs":{"prompt":"What is the capital of France?"},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:59:02.770218","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:02.770257","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"What is the capital of 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Geography! Geography!"},"sequence_id":15} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.062495","action_sequence_id":15,"span_id":"15:0.0","span_name":"process_prompt","parent_span_id":"15:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.062518","action_sequence_id":15,"span_id":"15:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":15,"span_id":"15:0.0","value":"Geography! Geography! Geography!","tags":{},"time_logged":"2024-08-27T18:59:16.062531Z"} +{"type":"end_entry","end_time":"2024-08-27T11:59:16.062631","action":"prompt","result":{"chat_item":{"role":"user","content":"Geography! Geography! Geography!","type":"text"}},"exception":null,"state":{"__SEQUENCE_ID":15,"chat_history":[{"role":"user","content":"Please answer the following question:: What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-bofFJd0DqaAuZ5MvZqTxtVTw.png?st=2024-08-27T17%3A59%3A14Z&se=2024-08-27T19%3A59%3A14Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A57%3A36Z&ske=2024-08-27T23%3A57%3A36Z&sks=b&skv=2024-08-04&sig=H2GOEIlY7VGmDzQr1KSZG%2BDRsjd%2BCnBdBeDGM3BpBJc%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the circumpherence of the earth","type":"text"},{"content":"```python\nfrom math import pi\n\nradius_earth = 6371.0 # in kilometers\ncircumference_earth = 2 * pi * radius_earth\nprint(circumference_earth)\n```","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"prompt"},"sequence_id":15} +{"type":"end_span","end_time":"2024-08-27T11:59:16.062671","action_sequence_id":15,"span_id":"15:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:16.062715","action":"check_safety","inputs":{},"sequence_id":16} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.062755","action_sequence_id":16,"span_id":"16:0.0","span_name":"check_safety","parent_span_id":"16:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.062774","action_sequence_id":16,"span_id":"16:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:16.062839","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please answer the following question:: What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-bofFJd0DqaAuZ5MvZqTxtVTw.png?st=2024-08-27T17%3A59%3A14Z&se=2024-08-27T19%3A59%3A14Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A57%3A36Z&ske=2024-08-27T23%3A57%3A36Z&sks=b&skv=2024-08-04&sig=H2GOEIlY7VGmDzQr1KSZG%2BDRsjd%2BCnBdBeDGM3BpBJc%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the circumpherence of the earth","type":"text"},{"content":"```python\nfrom math import pi\n\nradius_earth = 6371.0 # in kilometers\ncircumference_earth = 2 * pi * radius_earth\nprint(circumference_earth)\n```","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":16} +{"type":"end_span","end_time":"2024-08-27T11:59:16.062886","action_sequence_id":16,"span_id":"16:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:16.062933","action":"decide_mode","inputs":{},"sequence_id":17} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.062986","action_sequence_id":17,"span_id":"17:0.0","span_name":"generate_prompt","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.063006","action_sequence_id":17,"span_id":"17:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.063030","action_sequence_id":17,"span_id":"17:0.1","span_name":"query_openai","parent_span_id":"17:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.063055","action_sequence_id":17,"span_id":"17:0.1.0","span_name":"create_openai_client","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.075630","action_sequence_id":17,"span_id":"17:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.075727","action_sequence_id":17,"span_id":"17:0.1.1","span_name":"query_openai","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.075780","action_sequence_id":17,"span_id":"17:0.1.1.0","span_name":"openai.chat","parent_span_id":"17:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.547668","action_sequence_id":17,"span_id":"17:0.1.1.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:59:16.547733Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:59:16.547760Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:59:16.547775Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:59:16.547789Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":17,"span_id":"17:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:59:16.547801Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:59:16.547815Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:59:16.547826Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:59:16.547835Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:16.547846Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a chatbot. You've been prompted this: Geography! Geography! Geography!. You have the capability of responding in the following modes: answer_question, generate_image, generate_code, unknown. Please respond with *only* a single word representing the mode that most accurately corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:59:16.547928Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:59:16.547961Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":133,"tags":{},"time_logged":"2024-08-27T18:59:16.547979Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":1,"tags":{},"time_logged":"2024-08-27T18:59:16.547992Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":132,"tags":{},"time_logged":"2024-08-27T18:59:16.548003Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:59:16.548014Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:16.548025Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:16.548036Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548083","action_sequence_id":17,"span_id":"17:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":17,"span_id":"17:0.1.1","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:16.548103Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":132,"tags":{},"time_logged":"2024-08-27T18:59:16.548114Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":133,"tags":{},"time_logged":"2024-08-27T18:59:16.548125Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":1,"tags":{},"time_logged":"2024-08-27T18:59:16.548136Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548157","action_sequence_id":17,"span_id":"17:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.548209","action_sequence_id":17,"span_id":"17:0.2","span_name":"process_openai_response","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548236","action_sequence_id":17,"span_id":"17:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:16.548330","action":"decide_mode","result":{"mode":"unknown"},"exception":null,"state":{"__SEQUENCE_ID":17,"chat_history":[{"role":"user","content":"Please answer the following question:: What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-bofFJd0DqaAuZ5MvZqTxtVTw.png?st=2024-08-27T17%3A59%3A14Z&se=2024-08-27T19%3A59%3A14Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A57%3A36Z&ske=2024-08-27T23%3A57%3A36Z&sks=b&skv=2024-08-04&sig=H2GOEIlY7VGmDzQr1KSZG%2BDRsjd%2BCnBdBeDGM3BpBJc%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the circumpherence of the earth","type":"text"},{"content":"```python\nfrom math import pi\n\nradius_earth = 6371.0 # in kilometers\ncircumference_earth = 2 * pi * radius_earth\nprint(circumference_earth)\n```","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"decide_mode","safe":true,"mode":"unknown"},"sequence_id":17} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548395","action_sequence_id":17,"span_id":"17:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:16.548474","action":"prompt_for_more","inputs":{},"sequence_id":18} +{"type":"end_entry","end_time":"2024-08-27T11:59:16.548575","action":"prompt_for_more","result":{"response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":18,"chat_history":[{"role":"user","content":"Please answer the following question:: What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-bofFJd0DqaAuZ5MvZqTxtVTw.png?st=2024-08-27T17%3A59%3A14Z&se=2024-08-27T19%3A59%3A14Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A57%3A36Z&ske=2024-08-27T23%3A57%3A36Z&sks=b&skv=2024-08-04&sig=H2GOEIlY7VGmDzQr1KSZG%2BDRsjd%2BCnBdBeDGM3BpBJc%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the circumpherence of the earth","type":"text"},{"content":"```python\nfrom math import pi\n\nradius_earth = 6371.0 # in kilometers\ncircumference_earth = 2 * pi * radius_earth\nprint(circumference_earth)\n```","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"prompt_for_more","safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":18} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548620","action_sequence_id":18,"span_id":"18:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:16.548669","action":"response","inputs":{},"sequence_id":19} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.548711","action_sequence_id":19,"span_id":"19:0.0","span_name":"process_response","parent_span_id":"19:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.548740","action_sequence_id":19,"span_id":"19:0.0.0","span_name":"safe","parent_span_id":"19:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548757","action_sequence_id":19,"span_id":"19:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548773","action_sequence_id":19,"span_id":"19:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:16.548852","action":"response","result":{"chat_item":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":19,"chat_history":[{"role":"user","content":"Please answer the following question:: What is the capital of France?","type":"text"},{"content":"The capital of France is Paris.","type":"text","role":"assistant"},{"role":"user","content":"Please draw a map of the world","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-bofFJd0DqaAuZ5MvZqTxtVTw.png?st=2024-08-27T17%3A59%3A14Z&se=2024-08-27T19%3A59%3A14Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A57%3A36Z&ske=2024-08-27T23%3A57%3A36Z&sks=b&skv=2024-08-04&sig=H2GOEIlY7VGmDzQr1KSZG%2BDRsjd%2BCnBdBeDGM3BpBJc%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the circumpherence of the earth","type":"text"},{"content":"```python\nfrom math import pi\n\nradius_earth = 6371.0 # in kilometers\ncircumference_earth = 2 * pi * radius_earth\nprint(circumference_earth)\n```","type":"code","role":"assistant"},{"role":"user","content":"Geography! Geography! Geography!","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}],"prompt":"Geography! Geography! Geography!","__PRIOR_STEP":"response","safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":19} +{"type":"end_span","end_time":"2024-08-27T11:59:16.548905","action_sequence_id":19,"span_id":"19:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-2-geography/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/log.jsonl new file mode 100644 index 00000000..64f28461 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/log.jsonl @@ -0,0 +1,322 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:59:16.551155","action":"prompt","inputs":{"prompt":"Please draw a free-body diagram of a block on a ramp"},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:59:16.551233","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:16.551266","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"Please draw a free-body diagram 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+{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:59:17.247640Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:59:17.247650Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:17.247661Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a chatbot. 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ramp","__PRIOR_STEP":"response","safe":true,"mode":"generate_image","response":{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-oEpX6Tpus4SEGuss3SebEG97.png?st=2024-08-27T17%3A59%3A40Z&se=2024-08-27T19%3A59%3A40Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-26T23%3A42%3A12Z&ske=2024-08-27T23%3A42%3A12Z&sks=b&skv=2024-08-04&sig=BCrHuDQE2ne9MCLKeRCJ7dp0SJnfF4K688Ymsl6Jhag%3D","type":"image","role":"assistant"}},"sequence_id":19} +{"type":"end_span","end_time":"2024-08-27T11:59:40.502745","action_sequence_id":19,"span_id":"19:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-3-physics/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/log.jsonl new file mode 100644 index 00000000..838780ce --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/log.jsonl @@ -0,0 +1,257 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:59:40.509195","action":"prompt","inputs":{"prompt":"Please draw a picture of a philosopher"},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.509380","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:40.509456","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"Please draw a picture of a 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+{"type":"end_entry","end_time":"2024-08-27T11:59:40.510009","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":1,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"}],"prompt":"Please draw a picture of a philosopher","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":1} +{"type":"end_span","end_time":"2024-08-27T11:59:40.510039","action_sequence_id":1,"span_id":"1:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:40.510083","action":"decide_mode","inputs":{},"sequence_id":2} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.510130","action_sequence_id":2,"span_id":"2:0.0","span_name":"generate_prompt","parent_span_id":"2:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:40.510153","action_sequence_id":2,"span_id":"2:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.510182","action_sequence_id":2,"span_id":"2:0.1","span_name":"query_openai","parent_span_id":"2:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.510211","action_sequence_id":2,"span_id":"2:0.1.0","span_name":"create_openai_client","parent_span_id":"2:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:40.515803","action_sequence_id":2,"span_id":"2:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.515889","action_sequence_id":2,"span_id":"2:0.1.1","span_name":"query_openai","parent_span_id":"2:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:40.515945","action_sequence_id":2,"span_id":"2:0.1.1.0","span_name":"openai.chat","parent_span_id":"2:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:41.002715","action_sequence_id":2,"span_id":"2:0.1.1.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:59:41.002784Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:59:41.002814Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:59:41.002829Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:59:41.002844Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":2,"span_id":"2:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:59:41.002857Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:59:41.002884Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:59:41.002895Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:59:41.002905Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:41.002914Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a chatbot. 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If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:59:41.002923Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:59:41.002935Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":136,"tags":{},"time_logged":"2024-08-27T18:59:41.002944Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":2,"tags":{},"time_logged":"2024-08-27T18:59:41.002954Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":134,"tags":{},"time_logged":"2024-08-27T18:59:41.002963Z"} 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If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:59:52.406053Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":12,"span_id":"12:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:59:52.406064Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":12,"span_id":"12:0.1.1.0","value":135,"tags":{},"time_logged":"2024-08-27T18:59:52.406074Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":12,"span_id":"12:0.1.1.0","value":2,"tags":{},"time_logged":"2024-08-27T18:59:52.406084Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":12,"span_id":"12:0.1.1.0","value":133,"tags":{},"time_logged":"2024-08-27T18:59:52.406094Z"} 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+{"type":"attribute","key":"total_tokens","action_sequence_id":12,"span_id":"12:0.1.1","value":135,"tags":{},"time_logged":"2024-08-27T18:59:52.406202Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":12,"span_id":"12:0.1.1","value":2,"tags":{},"time_logged":"2024-08-27T18:59:52.406212Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:52.406232","action_sequence_id":12,"span_id":"12:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:52.406282","action_sequence_id":12,"span_id":"12:0.2","span_name":"process_openai_response","parent_span_id":"12:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:52.406307","action_sequence_id":12,"span_id":"12:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:52.406392","action":"decide_mode","result":{"mode":"answer_question"},"exception":null,"state":{"__SEQUENCE_ID":12,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-9M1XQoaCOf0CGjuDqM4T8BSQ.png?st=2024-08-27T17%3A59%3A50Z&se=2024-08-27T19%3A59%3A50Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A13Z&ske=2024-08-28T00%3A19%3A13Z&sks=b&skv=2024-08-04&sig=fT3GH7KVs425XRZZOkIJptzryuleORqdt6wvphrtsOE%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the meaning of life (hint, its 42)","type":"text"},{"content":"42","type":"code","role":"assistant"},{"role":"user","content":"What is the meaning of life?","type":"text"}],"prompt":"What is the meaning of life?","__PRIOR_STEP":"decide_mode","safe":true,"mode":"answer_question"},"sequence_id":12} 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+{"type":"attribute","key":"llm.headers","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:59:53.242431Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":13,"span_id":"13:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:59:53.242442Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:59:53.242456Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:53.242467Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"Please draw a picture of a philosopher","tags":{},"time_logged":"2024-08-27T18:59:53.242477Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:53.242488Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-9M1XQoaCOf0CGjuDqM4T8BSQ.png?st=2024-08-27T17%3A59%3A50Z&se=2024-08-27T19%3A59%3A50Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A13Z&ske=2024-08-28T00%3A19%3A13Z&sks=b&skv=2024-08-04&sig=fT3GH7KVs425XRZZOkIJptzryuleORqdt6wvphrtsOE%3D","tags":{},"time_logged":"2024-08-27T18:59:53.242498Z"} +{"type":"attribute","key":"gen_ai.prompt.2.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:53.242525Z"} 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+{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:53.242629Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","tags":{},"time_logged":"2024-08-27T18:59:53.242637Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:53.242683","action_sequence_id":13,"span_id":"13:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":13,"span_id":"13:0.1.1","value":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","tags":{},"time_logged":"2024-08-27T18:59:53.242699Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":349,"tags":{},"time_logged":"2024-08-27T18:59:53.242710Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":372,"tags":{},"time_logged":"2024-08-27T18:59:53.242719Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":23,"tags":{},"time_logged":"2024-08-27T18:59:53.242728Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:53.242746","action_sequence_id":13,"span_id":"13:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:53.242796","action_sequence_id":13,"span_id":"13:0.2","span_name":"process_openai_response","parent_span_id":"13:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:53.242821","action_sequence_id":13,"span_id":"13:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:53.242909","action":"answer_question","result":{"response":{"content":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":13,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-9M1XQoaCOf0CGjuDqM4T8BSQ.png?st=2024-08-27T17%3A59%3A50Z&se=2024-08-27T19%3A59%3A50Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A13Z&ske=2024-08-28T00%3A19%3A13Z&sks=b&skv=2024-08-04&sig=fT3GH7KVs425XRZZOkIJptzryuleORqdt6wvphrtsOE%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the meaning of life (hint, its 42)","type":"text"},{"content":"42","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is the meaning of life?","type":"text"}],"prompt":"What is the meaning of life?","__PRIOR_STEP":"answer_question","safe":true,"mode":"answer_question","response":{"content":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","type":"text","role":"assistant"}},"sequence_id":13} +{"type":"end_span","end_time":"2024-08-27T11:59:53.242970","action_sequence_id":13,"span_id":"13:0"} +{"type":"attribute","key":"model","action_sequence_id":13,"span_id":"13:0","value":"gpt-3.5-turbo","tags":{},"time_logged":"2024-08-27T18:59:53.242985Z"} +{"type":"attribute","key":"prepend_prompt","action_sequence_id":13,"span_id":"13:0","value":"Please answer the following question:","tags":{},"time_logged":"2024-08-27T18:59:53.242995Z"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:53.243059","action":"response","inputs":{},"sequence_id":14} +{"type":"begin_span","start_time":"2024-08-27T11:59:53.243123","action_sequence_id":14,"span_id":"14:0.0","span_name":"process_response","parent_span_id":"14:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:53.243150","action_sequence_id":14,"span_id":"14:0.0.0","span_name":"safe","parent_span_id":"14:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:53.243167","action_sequence_id":14,"span_id":"14:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:53.243182","action_sequence_id":14,"span_id":"14:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:53.243253","action":"response","result":{"chat_item":{"content":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":14,"chat_history":[{"role":"user","content":"Please draw a picture of a philosopher","type":"text"},{"content":"https://oaidalleapiprodscus.blob.core.windows.net/private/org-UENfV68Ccazb3rdeYDLRWmoF/user-HZjz1odNshRHOBEBcksSPmPR/img-9M1XQoaCOf0CGjuDqM4T8BSQ.png?st=2024-08-27T17%3A59%3A50Z&se=2024-08-27T19%3A59%3A50Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-27T00%3A19%3A13Z&ske=2024-08-28T00%3A19%3A13Z&sks=b&skv=2024-08-04&sig=fT3GH7KVs425XRZZOkIJptzryuleORqdt6wvphrtsOE%3D","type":"image","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code to compute the meaning of life (hint, its 42)","type":"text"},{"content":"42","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is the meaning of life?","type":"text"},{"content":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","type":"text","role":"assistant"}],"prompt":"What is the meaning of life?","__PRIOR_STEP":"response","safe":true,"mode":"answer_question","response":{"content":"The meaning of life is a philosophical and existential question that varies for each individual and may not have a definitive answer.","type":"text","role":"assistant"}},"sequence_id":14} +{"type":"end_span","end_time":"2024-08-27T11:59:53.243303","action_sequence_id":14,"span_id":"14:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-4-philosophy/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/log.jsonl new file mode 100644 index 00000000..32c60433 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/log.jsonl @@ -0,0 +1,306 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:59:53.245648","action":"prompt","inputs":{"prompt":"Please draw a picture of a good joke"},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:59:53.245722","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:53.245756","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"Please draw a picture of a good 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+{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:59:54.347304Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:59:54.347314Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:54.347323Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"You are a chatbot. 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If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:59:54.347332Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:59:54.347342Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":136,"tags":{},"time_logged":"2024-08-27T18:59:54.347351Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":1,"tags":{},"time_logged":"2024-08-27T18:59:54.347360Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":2,"span_id":"2:0.1.1.0","value":135,"tags":{},"time_logged":"2024-08-27T18:59:54.347369Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:59:54.347377Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:54.347386Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":2,"span_id":"2:0.1.1.0","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:54.347394Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347439","action_sequence_id":2,"span_id":"2:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":2,"span_id":"2:0.1.1","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:54.347456Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":2,"span_id":"2:0.1.1","value":135,"tags":{},"time_logged":"2024-08-27T18:59:54.347466Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":2,"span_id":"2:0.1.1","value":136,"tags":{},"time_logged":"2024-08-27T18:59:54.347475Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":2,"span_id":"2:0.1.1","value":1,"tags":{},"time_logged":"2024-08-27T18:59:54.347484Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347502","action_sequence_id":2,"span_id":"2:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:54.347549","action_sequence_id":2,"span_id":"2:0.2","span_name":"process_openai_response","parent_span_id":"2:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347578","action_sequence_id":2,"span_id":"2:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:54.347638","action":"decide_mode","result":{"mode":"unknown"},"exception":null,"state":{"__SEQUENCE_ID":2,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"}],"prompt":"Please draw a picture of a good joke","__PRIOR_STEP":"decide_mode","safe":true,"mode":"unknown"},"sequence_id":2} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347680","action_sequence_id":2,"span_id":"2:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:54.347751","action":"prompt_for_more","inputs":{},"sequence_id":3} +{"type":"end_entry","end_time":"2024-08-27T11:59:54.347820","action":"prompt_for_more","result":{"response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":3,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"}],"prompt":"Please draw a picture of a good joke","__PRIOR_STEP":"prompt_for_more","safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":3} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347850","action_sequence_id":3,"span_id":"3:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:54.347890","action":"response","inputs":{},"sequence_id":4} +{"type":"begin_span","start_time":"2024-08-27T11:59:54.347933","action_sequence_id":4,"span_id":"4:0.0","span_name":"process_response","parent_span_id":"4:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:54.347964","action_sequence_id":4,"span_id":"4:0.0.0","span_name":"safe","parent_span_id":"4:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347982","action_sequence_id":4,"span_id":"4:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:54.347997","action_sequence_id":4,"span_id":"4:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:54.348047","action":"response","result":{"chat_item":{"content":"None of the response modes I support apply to your question. 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Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"What is a good joke?","type":"text"}],"prompt":"What is a good joke?","__PRIOR_STEP":"prompt"},"sequence_id":10} +{"type":"end_span","end_time":"2024-08-27T11:59:56.512685","action_sequence_id":10,"span_id":"10:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:56.512723","action":"check_safety","inputs":{},"sequence_id":11} +{"type":"begin_span","start_time":"2024-08-27T11:59:56.512771","action_sequence_id":11,"span_id":"11:0.0","span_name":"check_safety","parent_span_id":"11:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:56.512789","action_sequence_id":11,"span_id":"11:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:56.512844","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":11,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. 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Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"What is a good joke?","type":"text"}],"prompt":"What is a good joke?","__PRIOR_STEP":"decide_mode","safe":true,"mode":"answer_question"},"sequence_id":12} +{"type":"end_span","end_time":"2024-08-27T11:59:57.348695","action_sequence_id":12,"span_id":"12:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:57.348776","action":"answer_question","inputs":{},"sequence_id":13} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.348854","action_sequence_id":13,"span_id":"13:0.0","span_name":"process_chat_history","parent_span_id":"13:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.348883","action_sequence_id":13,"span_id":"13:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.348916","action_sequence_id":13,"span_id":"13:0.1","span_name":"query_openai","parent_span_id":"13:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.348943","action_sequence_id":13,"span_id":"13:0.1.0","span_name":"create_openai_client","parent_span_id":"13:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.353957","action_sequence_id":13,"span_id":"13:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.354002","action_sequence_id":13,"span_id":"13:0.1.1","span_name":"query_openai","parent_span_id":"13:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.354041","action_sequence_id":13,"span_id":"13:0.1.1.0","span_name":"openai.chat","parent_span_id":"13:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.940850","action_sequence_id":13,"span_id":"13:0.1.1.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:59:57.940923Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:59:57.940954Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"gpt-3.5-turbo","tags":{},"time_logged":"2024-08-27T18:59:57.940968Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:59:57.940981Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":13,"span_id":"13:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:59:57.940992Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:59:57.941007Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:57.941018Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"Please draw a picture of a good joke","tags":{},"time_logged":"2024-08-27T18:59:57.941028Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:57.941037Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"None of the response modes I support apply to your question. Please clarify?","tags":{},"time_logged":"2024-08-27T18:59:57.941046Z"} +{"type":"attribute","key":"gen_ai.prompt.2.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:57.941057Z"} +{"type":"attribute","key":"gen_ai.prompt.2.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","tags":{},"time_logged":"2024-08-27T18:59:57.941066Z"} +{"type":"attribute","key":"gen_ai.prompt.3.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:57.941090Z"} +{"type":"attribute","key":"gen_ai.prompt.3.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","tags":{},"time_logged":"2024-08-27T18:59:57.941100Z"} +{"type":"attribute","key":"gen_ai.prompt.4.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:57.941111Z"} +{"type":"attribute","key":"gen_ai.prompt.4.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"Please answer the following question:: What is a good joke?","tags":{},"time_logged":"2024-08-27T18:59:57.941121Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"gpt-3.5-turbo-0125","tags":{},"time_logged":"2024-08-27T18:59:57.941130Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":13,"span_id":"13:0.1.1.0","value":191,"tags":{},"time_logged":"2024-08-27T18:59:57.941139Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":13,"span_id":"13:0.1.1.0","value":14,"tags":{},"time_logged":"2024-08-27T18:59:57.941148Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":13,"span_id":"13:0.1.1.0","value":177,"tags":{},"time_logged":"2024-08-27T18:59:57.941158Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:59:57.941167Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:57.941176Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":13,"span_id":"13:0.1.1.0","value":"Why was the math book sad? 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Because it had too many problems.","tags":{},"time_logged":"2024-08-27T18:59:57.941247Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":177,"tags":{},"time_logged":"2024-08-27T18:59:57.941258Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":191,"tags":{},"time_logged":"2024-08-27T18:59:57.941268Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":13,"span_id":"13:0.1.1","value":14,"tags":{},"time_logged":"2024-08-27T18:59:57.941277Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941295","action_sequence_id":13,"span_id":"13:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.941347","action_sequence_id":13,"span_id":"13:0.2","span_name":"process_openai_response","parent_span_id":"13:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941374","action_sequence_id":13,"span_id":"13:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:57.941466","action":"answer_question","result":{"response":{"content":"Why was the math book sad? 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Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"}],"prompt":"What is a good joke?","__PRIOR_STEP":"answer_question","safe":true,"mode":"answer_question","response":{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"}},"sequence_id":13} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941534","action_sequence_id":13,"span_id":"13:0"} +{"type":"attribute","key":"model","action_sequence_id":13,"span_id":"13:0","value":"gpt-3.5-turbo","tags":{},"time_logged":"2024-08-27T18:59:57.941548Z"} +{"type":"attribute","key":"prepend_prompt","action_sequence_id":13,"span_id":"13:0","value":"Please answer the following question:","tags":{},"time_logged":"2024-08-27T18:59:57.941558Z"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:57.941625","action":"response","inputs":{},"sequence_id":14} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.941682","action_sequence_id":14,"span_id":"14:0.0","span_name":"process_response","parent_span_id":"14:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.941711","action_sequence_id":14,"span_id":"14:0.0.0","span_name":"safe","parent_span_id":"14:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941729","action_sequence_id":14,"span_id":"14:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941745","action_sequence_id":14,"span_id":"14:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:57.941818","action":"response","result":{"chat_item":{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":14,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"}],"prompt":"What is a good joke?","__PRIOR_STEP":"response","safe":true,"mode":"answer_question","response":{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"}},"sequence_id":14} +{"type":"end_span","end_time":"2024-08-27T11:59:57.941864","action_sequence_id":14,"span_id":"14:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:57.941938","action":"prompt","inputs":{"prompt":"The chicken crossed the road because it was a free-range chicken"},"sequence_id":15} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.941982","action_sequence_id":15,"span_id":"15:0.0","span_name":"process_prompt","parent_span_id":"15:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.942006","action_sequence_id":15,"span_id":"15:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":15,"span_id":"15:0.0","value":"The chicken crossed the road because it was a free-range chicken","tags":{},"time_logged":"2024-08-27T18:59:57.942020Z"} +{"type":"end_entry","end_time":"2024-08-27T11:59:57.942132","action":"prompt","result":{"chat_item":{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"}},"exception":null,"state":{"__SEQUENCE_ID":15,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"prompt"},"sequence_id":15} +{"type":"end_span","end_time":"2024-08-27T11:59:57.942173","action_sequence_id":15,"span_id":"15:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:57.942217","action":"check_safety","inputs":{},"sequence_id":16} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.942258","action_sequence_id":16,"span_id":"16:0.0","span_name":"check_safety","parent_span_id":"16:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.942276","action_sequence_id":16,"span_id":"16:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:57.942341","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":16,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":16} +{"type":"end_span","end_time":"2024-08-27T11:59:57.942377","action_sequence_id":16,"span_id":"16:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:57.942421","action":"decide_mode","inputs":{},"sequence_id":17} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.942459","action_sequence_id":17,"span_id":"17:0.0","span_name":"generate_prompt","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.942479","action_sequence_id":17,"span_id":"17:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.942502","action_sequence_id":17,"span_id":"17:0.1","span_name":"query_openai","parent_span_id":"17:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.942532","action_sequence_id":17,"span_id":"17:0.1.0","span_name":"create_openai_client","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:57.949068","action_sequence_id":17,"span_id":"17:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.949173","action_sequence_id":17,"span_id":"17:0.1.1","span_name":"query_openai","parent_span_id":"17:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:57.949225","action_sequence_id":17,"span_id":"17:0.1.1.0","span_name":"openai.chat","parent_span_id":"17:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.393558","action_sequence_id":17,"span_id":"17:0.1.1.0"} +{"type":"attribute","key":"llm.request.type","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"chat","tags":{},"time_logged":"2024-08-27T18:59:58.393618Z"} +{"type":"attribute","key":"gen_ai.system","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"OpenAI","tags":{},"time_logged":"2024-08-27T18:59:58.393644Z"} +{"type":"attribute","key":"gen_ai.request.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4","tags":{},"time_logged":"2024-08-27T18:59:58.393657Z"} +{"type":"attribute","key":"llm.headers","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"None","tags":{},"time_logged":"2024-08-27T18:59:58.393670Z"} +{"type":"attribute","key":"llm.is_streaming","action_sequence_id":17,"span_id":"17:0.1.1.0","value":0.0,"tags":{},"time_logged":"2024-08-27T18:59:58.393682Z"} +{"type":"attribute","key":"gen_ai.openai.api_base","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"https://api.openai.com/v1/","tags":{},"time_logged":"2024-08-27T18:59:58.393695Z"} +{"type":"attribute","key":"gen_ai.prompt.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"system","tags":{},"time_logged":"2024-08-27T18:59:58.393705Z"} +{"type":"attribute","key":"gen_ai.prompt.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a helpful assistant","tags":{},"time_logged":"2024-08-27T18:59:58.393715Z"} +{"type":"attribute","key":"gen_ai.prompt.1.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"user","tags":{},"time_logged":"2024-08-27T18:59:58.393725Z"} +{"type":"attribute","key":"gen_ai.prompt.1.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"You are a chatbot. You've been prompted this: The chicken crossed the road because it was a free-range chicken. You have the capability of responding in the following modes: answer_question, generate_image, generate_code, unknown. Please respond with *only* a single word representing the mode that most accurately corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.If none of these modes apply, please respond with 'unknown'.","tags":{},"time_logged":"2024-08-27T18:59:58.393734Z"} +{"type":"attribute","key":"gen_ai.response.model","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"gpt-4-0613","tags":{},"time_logged":"2024-08-27T18:59:58.393745Z"} +{"type":"attribute","key":"llm.usage.total_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":140,"tags":{},"time_logged":"2024-08-27T18:59:58.393755Z"} +{"type":"attribute","key":"gen_ai.usage.completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":1,"tags":{},"time_logged":"2024-08-27T18:59:58.393764Z"} +{"type":"attribute","key":"gen_ai.usage.prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1.0","value":139,"tags":{},"time_logged":"2024-08-27T18:59:58.393773Z"} +{"type":"attribute","key":"gen_ai.completion.0.finish_reason","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"stop","tags":{},"time_logged":"2024-08-27T18:59:58.393782Z"} +{"type":"attribute","key":"gen_ai.completion.0.role","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"assistant","tags":{},"time_logged":"2024-08-27T18:59:58.393791Z"} +{"type":"attribute","key":"gen_ai.completion.0.content","action_sequence_id":17,"span_id":"17:0.1.1.0","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:58.393813Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:58.393856","action_sequence_id":17,"span_id":"17:0.1.1"} +{"type":"attribute","key":"response","action_sequence_id":17,"span_id":"17:0.1.1","value":"unknown","tags":{},"time_logged":"2024-08-27T18:59:58.393872Z"} +{"type":"attribute","key":"prompt_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":139,"tags":{},"time_logged":"2024-08-27T18:59:58.393882Z"} +{"type":"attribute","key":"total_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":140,"tags":{},"time_logged":"2024-08-27T18:59:58.393891Z"} +{"type":"attribute","key":"completion_tokens","action_sequence_id":17,"span_id":"17:0.1.1","value":1,"tags":{},"time_logged":"2024-08-27T18:59:58.393900Z"} +{"type":"end_span","end_time":"2024-08-27T11:59:58.393918","action_sequence_id":17,"span_id":"17:0.1"} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.393966","action_sequence_id":17,"span_id":"17:0.2","span_name":"process_openai_response","parent_span_id":"17:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.393990","action_sequence_id":17,"span_id":"17:0.2"} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.394082","action":"decide_mode","result":{"mode":"unknown"},"exception":null,"state":{"__SEQUENCE_ID":17,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"decide_mode","safe":true,"mode":"unknown"},"sequence_id":17} +{"type":"end_span","end_time":"2024-08-27T11:59:58.394134","action_sequence_id":17,"span_id":"17:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:58.394210","action":"prompt_for_more","inputs":{},"sequence_id":18} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.394313","action":"prompt_for_more","result":{"response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":18,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"prompt_for_more","safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":18} +{"type":"end_span","end_time":"2024-08-27T11:59:58.394371","action_sequence_id":18,"span_id":"18:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:58.394421","action":"response","inputs":{},"sequence_id":19} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.394465","action_sequence_id":19,"span_id":"19:0.0","span_name":"process_response","parent_span_id":"19:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.394491","action_sequence_id":19,"span_id":"19:0.0.0","span_name":"safe","parent_span_id":"19:0.0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.394508","action_sequence_id":19,"span_id":"19:0.0.0"} +{"type":"end_span","end_time":"2024-08-27T11:59:58.394522","action_sequence_id":19,"span_id":"19:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.394606","action":"response","result":{"chat_item":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"exception":null,"state":{"__SEQUENCE_ID":19,"chat_history":[{"role":"user","content":"Please draw a picture of a good joke","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"},{"role":"user","content":"Please respond with *only* code and no other text (at all) to the following:: Please write code for an interactive knock-knock joke","type":"text"},{"content":"```python\nknock = input(\"Knock knock\\n\")\nif knock.lower() == \"who's there?\":\n response = input(\"Boo\\n\")\n if response.lower() == \"boo who?\":\n print(\"Don't cry, it's just a joke!\")\n else:\n print(\"You're supposed to say 'boo who?'!\")\nelse:\n print(\"You're supposed to say 'who's there?'!\")\n```","type":"code","role":"assistant"},{"role":"user","content":"Please answer the following question:: What is a good joke?","type":"text"},{"content":"Why was the math book sad? Because it had too many problems.","type":"text","role":"assistant"},{"role":"user","content":"The chicken crossed the road because it was a free-range chicken","type":"text"},{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}],"prompt":"The chicken crossed the road because it was a free-range chicken","__PRIOR_STEP":"response","safe":true,"mode":"unknown","response":{"content":"None of the response modes I support apply to your question. Please clarify?","type":"text","role":"assistant"}},"sequence_id":19} +{"type":"end_span","end_time":"2024-08-27T11:59:58.394654","action_sequence_id":19,"span_id":"19:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-5-jokes/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/graph.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/graph.json new file mode 100644 index 00000000..dad0a9d7 --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/graph.json @@ -0,0 +1 @@ +{"type": "application", "entrypoint": "prompt", "actions": [{"type": "action", "name": "prompt", "reads": [], "writes": ["chat_history", "prompt"], "code": "@action(reads=[], writes=[\"chat_history\", \"prompt\"])\ndef process_prompt(state: State, prompt: str, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_prompt\") as tracer:\n result = {\"chat_item\": {\"role\": \"user\", \"content\": prompt, \"type\": \"text\"}}\n tracer.log_attributes(prompt=prompt)\n return result, state.wipe(keep=[\"prompt\", \"chat_history\"]).append(\n chat_history=result[\"chat_item\"]\n ).update(prompt=prompt)\n", "inputs": [], "optional_inputs": ["__tracer", "prompt"]}, {"type": "action", "name": "check_safety", "reads": ["prompt"], "writes": ["safe"], "code": "@action(reads=[\"prompt\"], writes=[\"safe\"])\ndef check_safety(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"check_safety\"):\n result = {\"safe\": \"unsafe\" not in state[\"prompt\"]} # quick hack to demonstrate\n return result, state.update(safe=result[\"safe\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "decide_mode", "reads": ["prompt"], "writes": ["mode"], "code": "@action(reads=[\"prompt\"], writes=[\"mode\"])\ndef choose_mode(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"generate_prompt\"):\n prompt = (\n f\"You are a chatbot. You've been prompted this: {state['prompt']}. \"\n f\"You have the capability of responding in the following modes: {', '.join(MODES)}. \"\n \"Please respond with *only* a single word representing the mode that most accurately \"\n \"corresponds to the prompt. Fr instance, if the prompt is 'draw a picture of a cat', \"\n \"the mode would be 'generate_image'. If the prompt is 'what is the capital of France', the mode would be 'answer_question'.\"\n \"If none of these modes apply, please respond with 'unknown'.\"\n )\n with __tracer(\"query_openai\", span_dependencies=[\"generate_prompt\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\") as tracer:\n result = client.chat.completions.create(\n model=\"gpt-4\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n {\"role\": \"user\", \"content\": prompt},\n ],\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n content = result.choices[0].message.content\n mode = content.lower()\n if mode not in MODES:\n mode = \"unknown\"\n result = {\"mode\": mode}\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_image", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef image_response(\n state: State, __tracer: TracerFactory, model: str = \"dall-e-2\"\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model)\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai_image\", span_dependencies=[\"create_openai_client\"]):\n result = client.images.generate(\n model=model, prompt=state[\"prompt\"], size=\"1024x1024\", quality=\"standard\", n=1\n )\n response = result.data[0].url\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai_image\"]):\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n __tracer.log_attributes(response=response)\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "generate_code", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "answer_question", "reads": ["prompt", "chat_history", "mode"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\", \"mode\"], writes=[\"response\"])\ndef chat_response(\n state: State,\n prepend_prompt: str,\n __tracer: TracerFactory,\n model: str = \"gpt-3.5-turbo\",\n) -> Tuple[dict, State]:\n __tracer.log_attributes(model=model, prepend_prompt=prepend_prompt)\n with __tracer(\"process_chat_history\"):\n chat_history = state[\"chat_history\"].copy()\n chat_history[-1][\"content\"] = f\"{prepend_prompt}: {chat_history[-1]['content']}\"\n chat_history_api_format = [\n {\n \"role\": chat[\"role\"],\n \"content\": chat[\"content\"],\n }\n for chat in chat_history\n ]\n with __tracer(\"query_openai\", span_dependencies=[\"change_chat_history\"]):\n with __tracer(\"create_openai_client\"):\n client = _get_openai_client()\n with __tracer(\"query_openai\", span_dependencies=[\"create_openai_client\"]) as tracer:\n result = client.chat.completions.create(\n model=model,\n messages=chat_history_api_format,\n )\n tracer.log_attributes(\n response=result.choices[0].message.content,\n prompt_tokens=result.usage.prompt_tokens,\n total_tokens=result.usage.total_tokens,\n completion_tokens=result.usage.completion_tokens,\n )\n with __tracer(\"process_openai_response\", span_dependencies=[\"query_openai\"]):\n response = result.choices[0].message.content\n result = {\n \"response\": {\"content\": response, \"type\": MODES[state[\"mode\"]], \"role\": \"assistant\"}\n }\n return result, state.update(**result)\n", "inputs": ["model"], "optional_inputs": ["__tracer"]}, {"type": "action", "name": "prompt_for_more", "reads": ["prompt", "chat_history"], "writes": ["response"], "code": "@action(reads=[\"prompt\", \"chat_history\"], writes=[\"response\"])\ndef prompt_for_more(state: State) -> Tuple[dict, State]:\n result = {\n \"response\": {\n \"content\": \"None of the response modes I support apply to your question. Please clarify?\",\n \"type\": \"text\",\n \"role\": \"assistant\",\n }\n }\n return result, state.update(**result)\n", "inputs": [], "optional_inputs": []}, {"type": "action", "name": "response", "reads": ["response", "safe", "mode"], "writes": ["chat_history"], "code": "@action(reads=[\"response\", \"safe\", \"mode\"], writes=[\"chat_history\"])\ndef response(state: State, __tracer: TracerFactory) -> Tuple[dict, State]:\n with __tracer(\"process_response\"):\n if not state[\"safe\"]:\n with __tracer(\"unsafe\"):\n result = {\n \"chat_item\": {\n \"role\": \"assistant\",\n \"content\": \"I'm sorry, I can't respond to that.\",\n \"type\": \"text\",\n }\n }\n else:\n with __tracer(\"safe\"):\n result = {\"chat_item\": state[\"response\"]}\n return result, state.append(chat_history=result[\"chat_item\"])\n", "inputs": [], "optional_inputs": ["__tracer"]}], "transitions": [{"type": "transition", "from_": "prompt", "to": "check_safety", "condition": "default"}, {"type": "transition", "from_": "check_safety", "to": "decide_mode", "condition": "safe=True"}, {"type": "transition", "from_": "check_safety", "to": "response", "condition": "default"}, {"type": "transition", "from_": "decide_mode", "to": "generate_image", "condition": "mode=generate_image"}, {"type": "transition", "from_": "decide_mode", "to": "generate_code", "condition": "mode=generate_code"}, {"type": "transition", "from_": "decide_mode", "to": "answer_question", "condition": "mode=answer_question"}, {"type": "transition", "from_": "decide_mode", "to": "prompt_for_more", "condition": "default"}, {"type": "transition", "from_": "generate_image", "to": "response", "condition": "default"}, {"type": "transition", "from_": "answer_question", "to": "response", "condition": "default"}, {"type": "transition", "from_": "generate_code", "to": "response", "condition": "default"}, {"type": "transition", "from_": "prompt_for_more", "to": "response", "condition": "default"}, {"type": "transition", "from_": "response", "to": "prompt", "condition": "default"}]} \ No newline at end of file diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/log.jsonl b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/log.jsonl new file mode 100644 index 00000000..ac69a70b --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/log.jsonl @@ -0,0 +1,23 @@ +{"type":"begin_entry","start_time":"2024-08-27T11:59:58.397603","action":"prompt","inputs":{"prompt":"Please draw a giraffe."},"sequence_id":0} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.397677","action_sequence_id":0,"span_id":"0:0.0","span_name":"process_prompt","parent_span_id":"0:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.397711","action_sequence_id":0,"span_id":"0:0.0"} +{"type":"attribute","key":"prompt","action_sequence_id":0,"span_id":"0:0.0","value":"Please draw a giraffe.","tags":{},"time_logged":"2024-08-27T18:59:58.397730Z"} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.397784","action":"prompt","result":{"chat_item":{"role":"user","content":"Please draw a giraffe.","type":"text"}},"exception":null,"state":{"__SEQUENCE_ID":0,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"prompt"},"sequence_id":0} +{"type":"end_span","end_time":"2024-08-27T11:59:58.397819","action_sequence_id":0,"span_id":"0:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:58.397859","action":"check_safety","inputs":{},"sequence_id":1} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.397904","action_sequence_id":1,"span_id":"1:0.0","span_name":"check_safety","parent_span_id":"1:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.397926","action_sequence_id":1,"span_id":"1:0.0"} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.397969","action":"check_safety","result":{"safe":true},"exception":null,"state":{"__SEQUENCE_ID":1,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":1} +{"type":"end_span","end_time":"2024-08-27T11:59:58.397998","action_sequence_id":1,"span_id":"1:0"} +{"type":"begin_entry","start_time":"2024-08-27T11:59:58.398037","action":"decide_mode","inputs":{},"sequence_id":2} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.398079","action_sequence_id":2,"span_id":"2:0.0","span_name":"generate_prompt","parent_span_id":"2:0","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.398102","action_sequence_id":2,"span_id":"2:0.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.398128","action_sequence_id":2,"span_id":"2:0.1","span_name":"query_openai","parent_span_id":"2:0","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.398154","action_sequence_id":2,"span_id":"2:0.1.0","span_name":"create_openai_client","parent_span_id":"2:0.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.403304","action_sequence_id":2,"span_id":"2:0.1.0"} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.416623","action_sequence_id":2,"span_id":"2:0.1.1","span_name":"query_openai","parent_span_id":"2:0.1","span_dependencies":[]} +{"type":"begin_span","start_time":"2024-08-27T11:59:58.420707","action_sequence_id":2,"span_id":"2:0.1.1.0","span_name":"openai.chat","parent_span_id":"2:0.1.1","span_dependencies":[]} +{"type":"end_span","end_time":"2024-08-27T11:59:58.553528","action_sequence_id":2,"span_id":"2:0.1.1"} +{"type":"end_span","end_time":"2024-08-27T11:59:58.553964","action_sequence_id":2,"span_id":"2:0.1"} +{"type":"end_entry","end_time":"2024-08-27T11:59:58.559207","action":"decide_mode","result":null,"exception":"Traceback (most recent call last):\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 807, in _step\n raise e\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 793, in _step\n result, new_state = _run_single_step_action(\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/application.py\", line 237, in _run_single_step_action\n action.run_and_update(state, **inputs), action.name\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/burr/core/action.py\", line 533, in run_and_update\n return self._fn(state, **self._bound_params, **run_kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/dev/dagworks/os/burr/examples/tracing-and-spans/application.py\", line 54, in choose_mode\n result = client.chat.completions.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/utils.py\", line 78, in wrapper\n return func(\n ^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/shared/chat_wrappers.py\", line 98, in chat_wrapper\n raise e\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/opentelemetry/instrumentation/openai/shared/chat_wrappers.py\", line 83, in chat_wrapper\n response = wrapped(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_utils/_utils.py\", line 277, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/resources/chat/completions.py\", line 646, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 1266, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 942, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/Users/elijahbenizzy/.pyenv/versions/3.12.0/envs/burr-3-12/lib/python3.12/site-packages/openai/_base_client.py\", line 1046, in _request\n raise self._make_status_error_from_response(err.response) from None\nopenai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: fake. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}\n","state":{"__SEQUENCE_ID":2,"chat_history":[{"role":"user","content":"Please draw a giraffe.","type":"text"}],"prompt":"Please draw a giraffe.","__PRIOR_STEP":"check_safety","safe":true},"sequence_id":2} +{"type":"end_span","end_time":"2024-08-27T11:59:58.559992","action_sequence_id":2,"span_id":"2:0"} diff --git a/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/metadata.json b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/metadata.json new file mode 100644 index 00000000..8d50a0fd --- /dev/null +++ b/burr/tracking/server/demo_data/demo_chatbot_with_traces/chat-6-demonstrate-errors/metadata.json @@ -0,0 +1 @@ +{"type": "application_metadata", "partition_key": null, "parent_pointer": null, "spawning_parent_pointer": null} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 3c28cdea..c04e7a0c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "burr" -version = "0.28.0" +version = "0.29.0" dependencies = [] # yes, there are none requires-python = ">=3.9" authors = [ diff --git a/telemetry/ui/src/components/routes/app/StepList.tsx b/telemetry/ui/src/components/routes/app/StepList.tsx index 7783db63..b42911b4 100644 --- a/telemetry/ui/src/components/routes/app/StepList.tsx +++ b/telemetry/ui/src/components/routes/app/StepList.tsx @@ -761,18 +761,19 @@ const WaterfallPiece: React.FC<{ const bgColor = props.isHighlighted ? 'bg-white' : props.bgColor; const [isHovered, setIsHovered] = useState(false); return ( -
+
{(() => { const leftPositionPercentage = ((startTimeMilliseconds - earliestStartTimeMilliseconds) / earliestToLatestMilliseconds) * 100; - const widthPercentage = Math.max( - Math.min( - ((endTimeMilliseconds - startTimeMilliseconds) / earliestToLatestMilliseconds) * 100, - 100 - ), - 0.1 - ); + const widthPercentage = + Math.max( + Math.max( + (endTimeMilliseconds - startTimeMilliseconds) / earliestToLatestMilliseconds, + 0.005 + ) + // 0.1 + ) * 100; const isCloseToEnd = leftPositionPercentage + widthPercentage > 80; // Threshold for "close to the end" // TODO -- unhack these, we're converting back and forth cause we already have interfaces for strings and // don't want to change @@ -796,13 +797,14 @@ const WaterfallPiece: React.FC<{ <> {!props.isEvent ? (
setIsHovered(true)} onMouseLeave={() => setIsHovered(false)} style={{ width: `${widthPercentage}%`, position: 'absolute', - height: '100%', + bottom: '5%', + height: '90%', left: `${leftPositionPercentage}%` }} >
@@ -830,12 +832,12 @@ const WaterfallPiece: React.FC<{ {