Fran Jurmanović 9a4d254968 Fix input/output getting misrouted by mixed usage-schema keys ...

The previous cached-tokens commit added cache_read_input_tokens (a
flat-schema key) alongside prompt_tokens/completion_tokens (OpenAI's
native schema) in the same usageDetails object. Langfuse's ingestion
explicitly does not support mixing those two schemas, and doing so
broke generation.update()'s output field - confirmed live: prompt/
response content was landing in the Usage panel instead of Input/
Output.

Fixed by staying entirely within OpenAI's native schema: cached
tokens now nest under prompt_tokens_details.cached_tokens instead of
using the flat cache_read_input_tokens key. Cast past the installed
@langfuse/tracing SDK's usageDetails type (which only exposes a
3-field camelCase shape with no _details nesting, unlike the wire
schema in @langfuse/core) since the nesting is valid on the wire even
though the SDK's public type doesn't model it.

Verified: full suite (82/82) passing, tsc/eslint clean.

2026-08-12 23:24:09 +02:00

..

config

Add core env loader

2026-08-12 20:51:03 +02:00

http

Fix final review findings: key leak, model fallback, error resilience, docs

2026-08-12 21:40:09 +02:00

langfuse

Fix input/output getting misrouted by mixed usage-schema keys

2026-08-12 23:24:09 +02:00

llm

Track cached prompt tokens through to Langfuse

2026-08-12 23:15:42 +02:00

logging

Scaffold TypeScript project and add core logger

2026-08-12 20:50:40 +02:00

server

Add core server Controller base, auth hook, and buildServer

2026-08-12 20:55:06 +02:00