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JPeer264
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…nventions Flue records its turn messages in pi-ai's shape, with a `toolResult` role and `toolCall` parts, and Sentry renders neither, so tool calls and tool results were missing from the conversation views. Its token counts come from pi-ai too, whose `input` leaves the cached tokens out while the conventions count them in, so input tokens and input cost were too low whenever prompt caching was active. A shared pi-ai mapper now translates messages, usage and the finish reason to the conventions, and the tool span records the result the model receives instead of Flue's internal result wrapper. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Flue records the messages of its turns in pi-ai's own shape, with a
toolResultrole andtoolCallparts. Sentry's AI views only render the gen_ai conventions shape, so tool calls and tool results were missing from Flue conversations, and the tool result showed up with an invalid role. This maps the input and output messages to the conventions, the way #24352 did for Google GenAI.The token counts come from pi-ai too. Its
inputleaves the cached tokens out, whilegen_ai.usage.input_tokensincludes them by definition, so input tokens and input cost were too low whenever prompt caching was active (the default for Anthropic models). The finish reason is mapped as well (toolUsebecomestool_call), and the tool span now records the result the model receives (Flue'seffectiveResult) instead of the internal{ content, details }wrapper.The mapper lives in
ai/pi-ai/because pi-durable sends the same shapes, and its integration uses it too.🤖 Generated with Claude Code