Full trace history
Every session is recorded as a trace, including model turns, tool calls, and spans, so you can inspect a full run rather than only a summary number.
LangWatch tracks Claude Code sessions as traces with model turns, tool calls, token classes, and cost data. It also supports Codex, OpenCode, Copilot, Cursor, and Pi through the same OTLP workflow.
LangWatch is a trace and usage tracking product for Claude Code and related coding agents. It captures each session as a trace, including model turns, tool calls, token counts by class, and cost data, so developers can review what happened in a run and how usage accumulated.
The Claude Code page emphasizes full trace history and token accounting across bundled subscription plans, where LangWatch can display theoretical spend rather than a direct token bill. It also extends to Codex, OpenCode, Copilot, Cursor, and Pi through the same OTLP endpoint, which makes it useful for comparing agent usage in a single view.
Every session is recorded as a trace, including model turns, tool calls, and spans, so you can inspect a full run rather than only a summary number.
Token accounting breaks out cache reads and cache writes separately from input and output tokens, giving a more detailed view of where usage accumulates.
The page shows both billed status and a theoretical total, which is useful for understanding spending on bundled subscription plans that are not invoiced per token.
Native OpenTelemetry export lets Claude Code send usage into LangWatch through `npx langwatch claude`, instead of relying only on local logs.
The same endpoint is described as working for Codex, OpenCode, Copilot, Cursor, and Pi, making it possible to compare agents in one store.
LangWatch MCP can expose trace history back to the agent itself, so Claude Code can inspect past runs and use them while adjusting workflow.
Use LangWatch to review a Claude Code session after it finishes, including model turns, tool calls, token classes, spans, and total duration, so you can understand where time and usage went.
Use the trace history and token breakdown to understand what bundled-plan sessions would have cost on a per-token basis, especially when you want a theoretical spend view instead of invoice data.
Use the shared OTLP endpoint to compare usage patterns across Claude Code, Codex, OpenCode, Copilot, Cursor, and Pi in one store, rather than switching between separate tools.
Use LangWatch MCP when you want the agent itself to inspect earlier runs, find where tokens are going, and adapt its workflow from trace history.
Run `npx langwatch claude` to configure Claude Code’s native OpenTelemetry export to LangWatch. The page says each session then lands as a trace with model turns, tool calls, token classes, and theoretical cost.
Yes. The page says the same OTLP endpoint works for Codex, OpenCode, Copilot, Cursor, and Pi, so those agents can land in the same store with the same token, cost, and trace treatment.
The page describes sessions on Claude subscription plans such as Pro, Max, and Team as “Bundled.” In that case, LangWatch shows the theoretical total spend rather than a per-token invoice amount.
The pricing page shows a free Developer plan, paid Growth pricing from €29 per core seat per month, and an Enterprise plan with custom pricing. It also states you can start free with no credit card.
The page indicates the OpenTelemetry route follows you across machines and survives local log cleanup, unlike local log readers that only see one machine.
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