GitHub Issues / 2026-10-15

get_input_jsonschema() fails on the declared pydantic floor (>=2.7.4) for TypedDict states using Annotated[Required[...]] / Annotated[NotRequired[...]]; works from pydantic 2.11

Public issue #9320 in langchain-ai/langgraph. The source issue contains the full report and discussion.

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Source page screenshot: get_input_jsonschema() fails on the declared pydantic floor (>=2.7.4) for TypedDict states using Annotated[Required[...]] / Annotated[NotRequired[...]]; works from pydantic 2.11 — Source page screenshot · github.com2026-11-07 UTC

Source record

Source: GitHub Issues
Published: 2026-10-15 03:45:28 UTC
First discovered: 2026-10-15 09:30:04.673Z
Last collected: 2026-10-22 23:45:11.356Z
Author: Not provided
Topic: Other
Classification: User needs & business problems
Evidence level: E1 · source record; conclusions unverified

Research analysis

Rule-based research guidance derived from the source record. Audience and commercial demand require validation.

Reported problem

The record contains the title “get_input_jsonschema() fails on the declared pydantic floor (>=2.7.4) for TypedDict states using Annotated[Required[...]] / Annotated[NotRequired[...]]; works from pydantic 2.11” 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.