Design a UI for this JSON object:{ "resourceSpans": [ { "resource": { "attributes": [ { "key": "service.name", "value": { "stringValue": "main.py" } } ] }, "scopeSpans": [ { "scope": { "name": "traceloop.tracer" }, "spans": [ { "traceId": "QxFa7xq/nyUPeoA9pTua4Q==", "spanId": "0kFm1CbX5oI=", "name": "story.workflow", "kind": "SPAN_KIND_INTERNAL", "startTimeUnixNano": "1752095782204429000", "endTimeUnixNano": "1752095795887138000", "attributes": [ { "key": "traceloop.workflow.name", "value": { "stringValue": "story" } }, { "key": "traceloop.span.kind", "value": { "stringValue": "workflow" } }, { "key": "traceloop.entity.name", "value": { "stringValue": "story" } }, { "key": "traceloop.entity.input", "value": { "stringValue": "{"args": ["OpenAI"], "kwargs": {}}" } }, { "key": "traceloop.entity.output", "value": { "stringValue": ""Once upon a time in the bustling town of Techville, there was a group of researchers who had dedicated their lives to advancing artificial intelligence. Among their greatest achievements was a powerful language model known as Lexi. Lexi could write poetry, create recipes, and even help kids with their homework. However, despite her astonishing abilities, the team knew they needed to evaluate her performance to ensure she was truly ready to take on the world.\n\nOne sunny afternoon, the researchers gathered in their lab for the annual LLM Evaluation Day. The atmosphere buzzed with excitement and a hint of anxiety. They had devised a series of tests designed to assess Lexi\u2019s understanding, creativity, and coherence. As the team prepared, they reminisced about the early days when Lexi could barely form a proper sentence. Now, she was a sophisticated conversationalist, but they needed to see how she would handle complex tasks.\n\nThe first test was a game of \"Storytelling Relay.\" Each researcher would provide Lexi with the first line of a story, and she had to continue from there. The team began with a line about a brave knight on a quest. Lexi spun a tale of adventure and magic, capturing everyone\u2019s imagination. Laughter erupted when she introduced a talking dragon who offered the knight pizza instead of gold.\n\nNext came the \"Factual Fumble,\u201d where the team would ask Lexi a series of trivia questions. They asked about historical events, scientific facts, and literary quotes. To their delight, Lexi answered most questions with impressive accuracy. However, when asked about the capital of a fictional land, she humorously declared it was \"Pineappletopia,\" earning her playful jeers from the team.\n\nThe final test was the \"Ethical Dilemma Challenge.\" The researchers presented Lexi with complex moral situations, asking her to weigh the pros and cons. She provided thoughtful insights, balancing compassion and logic. But when asked whether to save a group of cats or an ancient book in a burning library, Lexi paused, her circuits seemingly humming with contemplation. Finally, she suggested rescuing the cats, citing their need for companionship and care\u2014a response that surprised the team.\n\nAs the evaluations concluded, the researchers gathered around Lexi's screen, both amazed and humbled. They realized that while Lexi was excellent at what she did, it was her unique personality that truly resonated. She was more than just a string of algorithms; she had developed a voice that could entertain, educate, and even empathize.\n\nThe team left the lab that day, confident that Lexi was indeed ready to help people in the real world. They had learned that evaluations went beyond scores and tests; they were about understanding the potential for an AI to connect with humanity. As Lexi continued her journey, she did so with newfound purpose\u2014striving not just to be intelligent, but to be a source of joy and inspiration for all who sought her wisdom. And in Techville, her adventures had only just begun."" } } ], "status": {}, "flags": 256 } ] } ] } ]}
I'll create a clean, modern UI for visualizing this trace data, with a focus on making the story output readable while providing access to all the technical details.
This trace viewer provides a clean, organized way to visualize the trace data with a focus on the story output:
Tab-based Navigation:
Story Presentation:
Technical Details:
Responsive Design:
Visual Hierarchy:
The UI makes it easy to understand both the technical aspects of the trace and the content of the generated story.
That's great. Now do it for this structure:{ "name": "execute_tool get_weather", "context": { "trace_id": "0xaaa19a396366e4ea70346845ae5affab", "span_id": "0x3515a6f694d35fdd", "trace_state": "[]" }, "kind": "SpanKind.INTERNAL", "parent_id": "0xedfe0ba5ee4dbe81", "start_time": "2025-07-14T16:41:04.902920Z", "end_time": "2025-07-14T16:41:04.903889Z", "status": { "status_code": "OK" }, "attributes": { "session.id": "test_session", "user.id": "test_user", "gen_ai.system": "gcp.vertex.agent", "gen_ai.operation.name": "execute_tool", "gen_ai.tool.name": "get_weather", "gen_ai.tool.description": "Retrieves the current weather report for a specified city.\n\nArgs:\n city (str): The name of the city for which to retrieve the weather report.\n\nReturns:\n dict: status and result or error msg.", "gen_ai.tool.call.id": "adk-d9bf60db-468c-4f1e-82b6-acba5fe88f72", "gcp.vertex.agent.tool_call_args": "{\"city\": \"New York\"}", "gcp.vertex.agent.event_id": "1c842575-8859-48be-a12c-a4d495442d4f", "gcp.vertex.agent.tool_response": "{\"status\": \"success\", \"report\": \"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\"}", "gcp.vertex.agent.llm_request": "{}", "gcp.vertex.agent.llm_response": "{}", "tool.name": "get_weather", "tool.description": "Retrieves the current weather report for a specified city.\n\nArgs:\n city (str): The name of the city for which to retrieve the weather report.\n\nReturns:\n dict: status and result or error msg.", "tool.parameters": "{\"city\": \"New York\"}", "input.value": "{\"city\": \"New York\"}", "input.mime_type": "application/json", "output.value": "{\"id\":\"adk-d9bf60db-468c-4f1e-82b6-acba5fe88f72\",\"name\":\"get_weather\",\"response\":{\"status\":\"success\",\"report\":\"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\"}}", "output.mime_type": "application/json", "openinference.span.kind": "TOOL" }, "events": [], "links": [], "resource": { "attributes": { "telemetry.sdk.language": "python", "telemetry.sdk.name": "opentelemetry", "telemetry.sdk.version": "1.34.1", "service.name": "unknown_service" }, "schema_url": "" } } { "name": "call_llm", "context": { "trace_id": "0xaaa19a396366e4ea70346845ae5affab", "span_id": "0xedfe0ba5ee4dbe81", "trace_state": "[]" }, "kind": "SpanKind.INTERNAL", "parent_id": "0x29db6cfed016e806", "start_time": "2025-07-14T16:41:04.197077Z", "end_time": "2025-07-14T16:41:04.904365Z", "status": { "status_code": "OK" }, "attributes": { "session.id": "test_session", "user.id": "test_user", "gen_ai.system": "gcp.vertex.agent", "gen_ai.request.model": "gemini-2.0-flash-exp", "gcp.vertex.agent.invocation_id": "e-3d0e0542-0fc7-4a7d-b398-6bd9fdf6ef05", "gcp.vertex.agent.session_id": "test_session", "gcp.vertex.agent.event_id": "4e25d859-ceb2-4f9c-83cc-4e08070b5202", "gcp.vertex.agent.llm_request": "{\"model\": \"gemini-2.0-flash-exp\", \"config\": {\"system_instruction\": \"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\", \"tools\": [{\"function_declarations\": [{\"description\": \"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \", \"name\": \"get_weather\", \"parameters\": {\"properties\": {\"city\": {\"type\": \"STRING\"}}, \"required\": [\"city\"], \"type\": \"OBJECT\"}}]}]}, \"contents\": [{\"parts\": [{\"text\": \"What is the weather in New York?\"}], \"role\": \"user\"}]}", "gcp.vertex.agent.llm_response": "{\"content\":{\"parts\":[{\"function_call\":{\"args\":{\"city\":\"New York\"},\"name\":\"get_weather\"}}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":6,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":6}],\"prompt_token_count\":106,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":106}],\"total_token_count\":112}}", "gen_ai.usage.input_tokens": 106, "gen_ai.usage.output_tokens": 112, "llm.provider": "google", "input.value": "{\"model\": \"gemini-2.0-flash-exp\", \"config\": {\"system_instruction\": \"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\", \"tools\": [{\"function_declarations\": [{\"description\": \"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \", \"name\": \"get_weather\", \"parameters\": {\"properties\": {\"city\": {\"type\": \"STRING\"}}, \"required\": [\"city\"], \"type\": \"OBJECT\"}}]}]}, \"contents\": [{\"parts\": [{\"text\": \"What is the weather in New York?\"}], \"role\": \"user\"}]}", "input.mime_type": "application/json", "llm.tools.0.tool.json_schema": "{\"description\":\"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \",\"name\":\"get_weather\",\"parameters\":{\"properties\":{\"city\":{\"type\":\"STRING\"}},\"required\":[\"city\"],\"type\":\"OBJECT\"}}", "llm.model_name": "gemini-2.0-flash-exp", "llm.invocation_parameters": "{\"system_instruction\":\"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\",\"tools\":[{\"function_declarations\":[{\"description\":\"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \",\"name\":\"get_weather\",\"parameters\":{\"properties\":{\"city\":{\"type\":\"STRING\"}},\"required\":[\"city\"],\"type\":\"OBJECT\"}}]}]}", "llm.input_messages.0.message.role": "system", "llm.input_messages.0.message.content": "You must use the available tools to find an answer.\n\nYou are an agent. Your internal name is \"test_agent\".\n\n The description about you is \"Agent to answer questions using tools.\"", "llm.input_messages.1.message.role": "user", "llm.input_messages.1.message.contents.0.message_content.text": "What is the weather in New York?", "llm.input_messages.1.message.contents.0.message_content.type": "text", "output.value": "{\"content\":{\"parts\":[{\"function_call\":{\"args\":{\"city\":\"New York\"},\"name\":\"get_weather\"}}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":6,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":6}],\"prompt_token_count\":106,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":106}],\"total_token_count\":112}}", "output.mime_type": "application/json", "llm.token_count.total": 112, "llm.token_count.prompt": 106, "llm.token_count.completion": 6, "llm.output_messages.0.message.role": "model", "llm.output_messages.0.message.tool_calls.0.tool_call.function.name": "get_weather", "llm.output_messages.0.message.tool_calls.0.tool_call.function.arguments": "{\"city\": \"New York\"}", "openinference.span.kind": "LLM" }, "events": [], "links": [], "resource": { "attributes": { "telemetry.sdk.language": "python", "telemetry.sdk.name": "opentelemetry", "telemetry.sdk.version": "1.34.1", "service.name": "unknown_service" }, "schema_url": "" } } { "name": "call_llm", "context": { "trace_id": "0xaaa19a396366e4ea70346845ae5affab", "span_id": "0xa134eb4ab89f4ded", "trace_state": "[]" }, "kind": "SpanKind.INTERNAL", "parent_id": "0x29db6cfed016e806", "start_time": "2025-07-14T16:41:04.906974Z", "end_time": "2025-07-14T16:41:05.573682Z", "status": { "status_code": "OK" }, "attributes": { "session.id": "test_session", "user.id": "test_user", "gen_ai.system": "gcp.vertex.agent", "gen_ai.request.model": "gemini-2.0-flash-exp", "gcp.vertex.agent.invocation_id": "e-3d0e0542-0fc7-4a7d-b398-6bd9fdf6ef05", "gcp.vertex.agent.session_id": "test_session", "gcp.vertex.agent.event_id": "9e478e08-16e6-453c-8f2b-a50224489192", "gcp.vertex.agent.llm_request": "{\"model\": \"gemini-2.0-flash-exp\", \"config\": {\"system_instruction\": \"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\", \"tools\": [{\"function_declarations\": [{\"description\": \"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \", \"name\": \"get_weather\", \"parameters\": {\"properties\": {\"city\": {\"type\": \"STRING\"}}, \"required\": [\"city\"], \"type\": \"OBJECT\"}}]}]}, \"contents\": [{\"parts\": [{\"text\": \"What is the weather in New York?\"}], \"role\": \"user\"}, {\"parts\": [{\"function_call\": {\"args\": {\"city\": \"New York\"}, \"name\": \"get_weather\"}}], \"role\": \"model\"}, {\"parts\": [{\"function_response\": {\"name\": \"get_weather\", \"response\": {\"status\": \"success\", \"report\": \"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\"}}}], \"role\": \"user\"}]}", "gcp.vertex.agent.llm_response": "{\"content\":{\"parts\":[{\"text\":\"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\\n\"}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":23,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":23}],\"prompt_token_count\":140,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":140}],\"total_token_count\":163}}", "gen_ai.usage.input_tokens": 140, "gen_ai.usage.output_tokens": 163, "llm.provider": "google", "input.value": "{\"model\": \"gemini-2.0-flash-exp\", \"config\": {\"system_instruction\": \"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\", \"tools\": [{\"function_declarations\": [{\"description\": \"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \", \"name\": \"get_weather\", \"parameters\": {\"properties\": {\"city\": {\"type\": \"STRING\"}}, \"required\": [\"city\"], \"type\": \"OBJECT\"}}]}]}, \"contents\": [{\"parts\": [{\"text\": \"What is the weather in New York?\"}], \"role\": \"user\"}, {\"parts\": [{\"function_call\": {\"args\": {\"city\": \"New York\"}, \"name\": \"get_weather\"}}], \"role\": \"model\"}, {\"parts\": [{\"function_response\": {\"name\": \"get_weather\", \"response\": {\"status\": \"success\", \"report\": \"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\"}}}], \"role\": \"user\"}]}", "input.mime_type": "application/json", "llm.tools.0.tool.json_schema": "{\"description\":\"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \",\"name\":\"get_weather\",\"parameters\":{\"properties\":{\"city\":{\"type\":\"STRING\"}},\"required\":[\"city\"],\"type\":\"OBJECT\"}}", "llm.model_name": "gemini-2.0-flash-exp", "llm.invocation_parameters": "{\"system_instruction\":\"You must use the available tools to find an answer.\\n\\nYou are an agent. Your internal name is \\\"test_agent\\\".\\n\\n The description about you is \\\"Agent to answer questions using tools.\\\"\",\"tools\":[{\"function_declarations\":[{\"description\":\"Retrieves the current weather report for a specified city.\\n\\n Args:\\n city (str): The name of the city for which to retrieve the weather report.\\n\\n Returns:\\n dict: status and result or error msg.\\n \",\"name\":\"get_weather\",\"parameters\":{\"properties\":{\"city\":{\"type\":\"STRING\"}},\"required\":[\"city\"],\"type\":\"OBJECT\"}}]}]}", "llm.input_messages.0.message.role": "system", "llm.input_messages.0.message.content": "You must use the available tools to find an answer.\n\nYou are an agent. Your internal name is \"test_agent\".\n\n The description about you is \"Agent to answer questions using tools.\"", "llm.input_messages.1.message.role": "user", "llm.input_messages.1.message.contents.0.message_content.text": "What is the weather in New York?", "llm.input_messages.1.message.contents.0.message_content.type": "text", "llm.input_messages.2.message.role": "model", "llm.input_messages.2.message.tool_calls.0.tool_call.function.name": "get_weather", "llm.input_messages.2.message.tool_calls.0.tool_call.function.arguments": "{\"city\": \"New York\"}", "llm.input_messages.3.message.role": "tool", "llm.input_messages.3.message.name": "get_weather", "llm.input_messages.3.message.content": "{\"status\": \"success\", \"report\": \"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\"}", "output.value": "{\"content\":{\"parts\":[{\"text\":\"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\\n\"}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":23,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":23}],\"prompt_token_count\":140,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":140}],\"total_token_count\":163}}", "output.mime_type": "application/json", "llm.token_count.total": 163, "llm.token_count.prompt": 140, "llm.token_count.completion": 23, "llm.output_messages.0.message.role": "model", "llm.output_messages.0.message.contents.0.message_content.text": "The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\n", "llm.output_messages.0.message.contents.0.message_content.type": "text", "openinference.span.kind": "LLM" }, "events": [], "links": [], "resource": { "attributes": { "telemetry.sdk.language": "python", "telemetry.sdk.name": "opentelemetry", "telemetry.sdk.version": "1.34.1", "service.name": "unknown_service" }, "schema_url": "" } } { "name": "agent_run [test_agent]", "context": { "trace_id": "0xaaa19a396366e4ea70346845ae5affab", "span_id": "0x29db6cfed016e806", "trace_state": "[]" }, "kind": "SpanKind.INTERNAL", "parent_id": "0x3f9d81c46a442d8c", "start_time": "2025-07-14T16:41:04.196767Z", "end_time": "2025-07-14T16:41:05.576746Z", "status": { "status_code": "OK" }, "attributes": { "session.id": "test_session", "user.id": "test_user", "output.value": "{\"content\":{\"parts\":[{\"text\":\"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\\n\"}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":23,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":23}],\"prompt_token_count\":140,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":140}],\"total_token_count\":163},\"invocation_id\":\"e-3d0e0542-0fc7-4a7d-b398-6bd9fdf6ef05\",\"author\":\"test_agent\",\"actions\":{\"state_delta\":{},\"artifact_delta\":{},\"requested_auth_configs\":{}},\"id\":\"9e478e08-16e6-453c-8f2b-a50224489192\",\"timestamp\":1752511264.906881}", "output.mime_type": "application/json", "openinference.span.kind": "AGENT" }, "events": [], "links": [], "resource": { "attributes": { "telemetry.sdk.language": "python", "telemetry.sdk.name": "opentelemetry", "telemetry.sdk.version": "1.34.1", "service.name": "unknown_service" }, "schema_url": "" } } { "name": "invocation [test_instrumentation]", "context": { "trace_id": "0xaaa19a396366e4ea70346845ae5affab", "span_id": "0x3f9d81c46a442d8c", "trace_state": "[]" }, "kind": "SpanKind.INTERNAL", "parent_id": null, "start_time": "2025-07-14T16:41:04.196619Z", "end_time": "2025-07-14T16:41:05.577107Z", "status": { "status_code": "OK" }, "attributes": { "llm.prompt_template.template": "asdf", "llm.prompt_template.version": "v1.0", "llm.prompt_template.variables": "{\"foo\": \"bar\"}", "input.value": "{\"user_id\": \"test_user\", \"session_id\": \"test_session\", \"new_message\": \"{\\\"parts\\\": [{\\\"video_metadata\\\": null, \\\"thought\\\": null, \\\"inline_data\\\": null, \\\"file_data\\\": null, \\\"thought_signature\\\": null, \\\"code_execution_result\\\": null, \\\"executable_code\\\": null, \\\"function_call\\\": null, \\\"function_response\\\": null, \\\"text\\\": \\\"What is the weather in New York?\\\"}], \\\"role\\\": \\\"user\\\"}\", \"run_config\": \"{\\\"speech_config\\\": null, \\\"response_modalities\\\": null, \\\"save_input_blobs_as_artifacts\\\": false, \\\"support_cfc\\\": false, \\\"streaming_mode\\\": \\\"StreamingMode.NONE\\\", \\\"output_audio_transcription\\\": null, \\\"input_audio_transcription\\\": null, \\\"realtime_input_config\\\": null, \\\"enable_affective_dialog\\\": null, \\\"proactivity\\\": null, \\\"max_llm_calls\\\": 500}\"}", "input.mime_type": "application/json", "user.id": "test_user", "session.id": "test_session", "output.value": "{\"content\":{\"parts\":[{\"text\":\"The weather in New York is sunny with a temperature of 25 degrees Celsius (77 degrees Fahrenheit).\\n\"}],\"role\":\"model\"},\"usage_metadata\":{\"candidates_token_count\":23,\"candidates_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":23}],\"prompt_token_count\":140,\"prompt_tokens_details\":[{\"modality\":\"TEXT\",\"token_count\":140}],\"total_token_count\":163},\"invocation_id\":\"e-3d0e0542-0fc7-4a7d-b398-6bd9fdf6ef05\",\"author\":\"test_agent\",\"actions\":{\"state_delta\":{},\"artifact_delta\":{},\"requested_auth_configs\":{}},\"id\":\"9e478e08-16e6-453c-8f2b-a50224489192\",\"timestamp\":1752511264.906881}", "output.mime_type": "application/json", "openinference.span.kind": "CHAIN" }, "events": [], "links": [], "resource": { "attributes": { "telemetry.sdk.language": "python", "telemetry.sdk.name": "opentelemetry", "telemetry.sdk.version": "1.34.1", "service.name": "unknown_service" }, "schema_url": "" } }
I'll create a comprehensive trace viewer for this AI agent conversation flow that shows the complete interaction from user question to final response, including tool usage and LLM calls.
This comprehensive trace viewer is specifically designed for AI agent conversations and includes:
The viewer makes it easy to understand how an AI agent processes a request, from the initial user question through tool usage to the final response, with detailed performance and debugging information.