`astream_events` ignores a subgraph's `output_schema`, so a reducer channel takes the subgraph's input back and the run returns duplicated data without any error
Public issue #9602 in langchain-ai/langgraph. The source issue contains the full report and discussion.
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Reported problem
The record contains the title “`astream_events` ignores a subgraph's `output_schema`, so a reducer channel takes the subgraph's input back and the run returns duplicated data without any error” but no substantive source summary.
Frequency & alternatives
This is one problem record. Independent user counts, task frequency and existing spending have not been established.
Demand hypothesis
Treat the reported task or obstacle as an interview lead. A feature request, complaint or search for alternatives does not by itself identify a budget owner or willingness to pay.
Commercial evidence gaps
Missing evidence: distinct affected users, repeated occasions, current workaround, measured time or money cost, purchasing authority and a response to a concrete offer.
Validation decision
Group original reports by the same task and deduplicate authors and reposts. Ask how the task is handled today and what it costs; test a defined offer before claiming paid demand.