Agent Trace Viewer

Free

Paste an OTLP/JSON trace export, a JSON array of spans, or Python ConsoleSpanExporter output from an AI agent. The viewer builds the span tree with durations and reads the OpenTelemetry GenAI semantic conventions: gen_ai.operation.name values such as invoke_agent, chat and execute_tool, the model, gen_ai.usage.input_tokens and output_tokens, the tool name and call ID, and error status. Per trace it totals tokens without double-counting agent spans, the wall-clock time spent in model and tool calls, and tool calls repeated under one call ID. Deprecated prompt_tokens and completion_tokens are totalled separately. Orphaned spans, cycles and clock skew are flagged, prompt and completion content stays hidden until you show it, and everything runs in your browser.

#ci-debugging#opentelemetry#ai-agents#llm-observability#tracing

Agent Trace Viewer

Client-Side Only

Trace JSON: an OTLP export (resourceSpans), a JSON array of spans, or Python ConsoleSpanExporter output

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}

Read in this browser tab. The trace is parsed and totalled by fixed rules from the OpenTelemetry GenAI semantic conventions (b31e9e8). Nothing is uploaded, and prompt and completion content stays hidden until you choose to show it.

trace fa3a906b2b2fba3594c67ac7f6da9d0c · ci-triage-agent

Show prompt and completion content (15 values)

Totals for this trace

Duration: 8.55 s; 8 spans, 1 root
Model calls: 3; 3.05 s, 36% of the trace
Tool calls: 4; 5.50 s, 64% of the trace
Errors: 2
Input tokens: 54,325; from 3 spans
Output tokens: 106
Agent invocations: 1
Models: stub-chat-1-2026-09

Note: "invoke_agent ci-triage" reports 54,325 input and 106 output tokens, the same as the spans under it. It is not added again.

Repeated tool calls (1)

fetch_ci_log (call call_fetch_log_1): 3 attempts, 2 failed, 5.38 s in total, 63% of the trace

Timeline by parent

Select a span for its attributes. A ? after the operation means it was read from the span name.

invoke_agent

invoke_agent ci-triage

ci-triage · 54,325 in / 106 out (already counted below)

8.55 s

Starts at: +0 ms
Kind: internal
Span ID: 0565295db1ae8cc3
Parent: none (root)
Status: unset
Service: ci-triage-agent
Provider: local.stub
Requested model: stub-chat-1

Attributes of invoke_agent ci-triage
gen_ai.operation.name	invoke_agent
gen_ai.agent.name	ci-triage
gen_ai.provider.name	local.stub
gen_ai.request.model	stub-chat-1
gen_ai.conversation.id	conv_run4812
gen_ai.usage.input_tokens	54325
gen_ai.usage.output_tokens	106

chat

chat stub-chat-1

stub-chat-1-2026-09 · 49 in / 29 out

623 ms

Starts at: +0 ms
Kind: client
Span ID: ed446108854beee1
Parent: 0565295db1ae8cc3
Status: unset
Service: ci-triage-agent
Provider: local.stub
Requested model: stub-chat-1
Response model: stub-chat-1-2026-09
Finish reasons: tool_calls

Attributes of chat stub-chat-1
gen_ai.operation.name	chat
gen_ai.provider.name	local.stub
gen_ai.request.model	stub-chat-1
gen_ai.response.model	stub-chat-1-2026-09
gen_ai.response.id	resp_1
gen_ai.usage.input_tokens	49
gen_ai.usage.output_tokens	29
gen_ai.response.finish_reasons	["tool_calls"]
gen_ai.system_instructions	content hidden (96 characters)
gen_ai.input.messages	content hidden (98 characters)
gen_ai.output.messages	content hidden (177 characters)

execute_tool

execute_tool fetch_ci_log

fetch_ci_log · call_fetch_log_1

2.51 serror

Starts at: +623 ms
Kind: internal
Span ID: edcfdf6b91bb2454
Parent: 0565295db1ae8cc3
Status: error: fetch aborted after 2500 ms (attempt 1)
error.type: timeout
Service: ci-triage-agent

Attributes of execute_tool fetch_ci_log
gen_ai.operation.name	execute_tool
gen_ai.tool.name	fetch_ci_log
gen_ai.tool.type	function
gen_ai.tool.call.id	call_fetch_log_1
gen_ai.agent.name	ci-triage
gen_ai.tool.call.arguments	content hidden (36 characters)
error.type	timeout

execute_tool

execute_tool fetch_ci_log

fetch_ci_log · call_fetch_log_1

2.50 serror

Starts at: +3.13 s
Kind: internal
Span ID: 8ad3de71be33c689
Parent: 0565295db1ae8cc3
Status: error: fetch aborted after 2500 ms (attempt 2)
error.type: timeout
Service: ci-triage-agent

Attributes of execute_tool fetch_ci_log
gen_ai.operation.name	execute_tool
gen_ai.tool.name	fetch_ci_log
gen_ai.tool.type	function
gen_ai.tool.call.id	call_fetch_log_1
gen_ai.agent.name	ci-triage
gen_ai.tool.call.arguments	content hidden (36 characters)
error.type	timeout

execute_tool

execute_tool fetch_ci_log

fetch_ci_log · call_fetch_log_1

372 ms

Starts at: +5.63 s
Kind: internal
Span ID: e7b0de9f51c7c811
Parent: 0565295db1ae8cc3
Status: unset
Service: ci-triage-agent

Attributes of execute_tool fetch_ci_log
gen_ai.operation.name	execute_tool
gen_ai.tool.name	fetch_ci_log
gen_ai.tool.type	function
gen_ai.tool.call.id	call_fetch_log_1
gen_ai.agent.name	ci-triage
gen_ai.tool.call.arguments	content hidden (36 characters)
gen_ai.tool.call.result	content hidden (192 characters)

chat

chat stub-chat-1

stub-chat-1-2026-09 · 27,099 in / 32 out

1.48 s

Starts at: +6.00 s
Kind: client
Span ID: 88ab55ba7a193996
Parent: 0565295db1ae8cc3
Status: unset
Service: ci-triage-agent
Provider: local.stub
Requested model: stub-chat-1
Response model: stub-chat-1-2026-09
Finish reasons: tool_calls

Attributes of chat stub-chat-1
gen_ai.operation.name	chat
gen_ai.provider.name	local.stub
gen_ai.request.model	stub-chat-1
gen_ai.response.model	stub-chat-1-2026-09
gen_ai.response.id	resp_2
gen_ai.usage.input_tokens	27099
gen_ai.usage.output_tokens	32
gen_ai.response.finish_reasons	["tool_calls"]
gen_ai.system_instructions	content hidden (96 characters)
gen_ai.input.messages	content hidden (532 characters)
gen_ai.output.messages	content hidden (189 characters)

execute_tool

execute_tool search_known_flakes

search_known_flakes · call_flakes_2

117 ms

Starts at: +7.49 s
Kind: internal
Span ID: 0ef71bd593815df9
Parent: 0565295db1ae8cc3
Status: unset
Service: ci-triage-agent

Attributes of execute_tool search_known_flakes
gen_ai.operation.name	execute_tool
gen_ai.tool.name	search_known_flakes
gen_ai.tool.type	function
gen_ai.tool.call.id	call_flakes_2
gen_ai.agent.name	ci-triage
gen_ai.tool.call.arguments	content hidden (44 characters)
gen_ai.tool.call.result	content hidden (53 characters)

chat

chat stub-chat-1

stub-chat-1-2026-09 · 27,177 in / 45 out

943 ms

Starts at: +7.60 s
Kind: client
Span ID: 73069ddb24f22189
Parent: 0565295db1ae8cc3
Status: unset
Service: ci-triage-agent
Provider: local.stub
Requested model: stub-chat-1
Response model: stub-chat-1-2026-09
Finish reasons: stop

Attributes of chat stub-chat-1
gen_ai.operation.name	chat
gen_ai.provider.name	local.stub
gen_ai.request.model	stub-chat-1
gen_ai.response.model	stub-chat-1-2026-09
gen_ai.response.id	resp_3
gen_ai.usage.input_tokens	27177
gen_ai.usage.output_tokens	45
gen_ai.response.finish_reasons	["stop"]
gen_ai.system_instructions	content hidden (96 characters)
gen_ai.input.messages	content hidden (845 characters)
gen_ai.output.messages	content hidden (233 characters)

Frequently Asked Questions(click to expand)

Why is the agent span's token count not added to the total?

Agent frameworks often put gen_ai.usage.input_tokens on the invoke_agent span as well as on each model call under it, and the conventions do not say whether the agent's number is a sum. Adding both would count the same tokens twice, so a span's tokens count only when nothing beneath it reports tokens. When the two disagree the viewer says so.

What happens to gen_ai.usage.prompt_tokens?

It and completion_tokens are deprecated, replaced by input_tokens and output_tokens. Spans that still use them get their own labelled total, because an export mixing old and new instrumentation can report the same call under both names.

How stable are these attribute names?

Every gen_ai.* attribute and operation name is at Development stability, and the conventions moved to their own repository in 2026. Names can still change; the viewer is pinned to commit b31e9e8.

Why is a span shown as a root with a warning?

Its parent is not in the input, usually because the parent belongs to another service's export. Cycles and duplicate IDs are broken the same way, and a child that starts before its parent is flagged as clock skew rather than drawn as if it were nested.

Where do I go after finding a slow tool call?

A tool that times out and is retried is an API-testing problem. The guide to testing API idempotency, retries and timeouts covers proving a retry is safe. If the agent called the tool with the wrong arguments, the MCP Tool Schema Checker finds the definition problems behind it, and the LLM Eval Test-Case Builder turns the run into a regression case.