chore(deps): bump langgraph-prebuilt from 1.0.8 to 1.1.0

[dependabot]

Bumps langgraph-prebuilt from 1.0.8 to 1.1.0.

Release notes

Sourced from langgraph-prebuilt's releases.

langgraph==1.1.0

Changes since 1.0.10

• release(langgraph): 1.1 (#7102)
• fix: replay behavior for parent + subgraphs! (#7038)
• feat: type safe stream/invoke w/ proper output type coercion (#6961)

Type-Safe Streaming & Invoke

LangGraph 1.1 introduces version="v2" — a new opt-in streaming format that brings full type safety to stream(), astream(), invoke(), and ainvoke().

What's changing

v1 (default, unchanged): stream() yields bare tuples like (stream_mode, data) or just data. invoke() returns a plain dict. Interrupts are mixed into the output dict under "__interrupt__".

v2 (opt-in): stream() yields strongly-typed StreamPart dicts with type, ns, data, and (for values) interrupts fields. invoke() returns a GraphOutput object with .value and .interrupts attributes. When your state schema is a Pydantic model or dataclass, outputs are automatically coerced to the correct type.

invoke() / ainvoke() with version="v2"

from langgraph.types import GraphOutput
result = graph.invoke({"input": "hello"}, version="v2")
result is a GraphOutput, not a dict
assert isinstance(result, GraphOutput)
result.value       # your output — dict, Pydantic model, or dataclass
result.interrupts  # tuple[Interrupt, ...], empty if none occurred

With a non-"values" stream mode, invoke(..., stream_mode="updates", version="v2") returns list[StreamPart] instead of list[tuple].

stream() / astream() with version="v2"

for part in graph.stream({"input": "hello"}, version="v2"):
    if part["type"] == "values":
        part["data"]        # OutputT — full state
        part["interrupts"]  # tuple[Interrupt, ...]
    elif part["type"] == "updates":
        part["data"]        # dict[str, Any]
    elif part["type"] == "messages":
        part["data"]        # tuple[BaseMessage, dict]
    elif part["type"] == "custom":
        part["data"]        # Any
    elif part["type"] == "tasks":
        part["data"]        # TaskPayload | TaskResultPayload
    elif part["type"] == "debug":
        part["data"]        # DebugPayload

... (truncated)

Commits

• 3330ccd release(langgraph): 1.1 (#7102)
• 4ef6169 feat(cli): add distributed runtime support to langgraph cli (#7096)
• 27da1d3 chore(deps): bump the all-dependencies group across 1 directory with 3 update...
• 9c2deac fix: replay behavior for parent + subgraphs! (#7038)
• 2638ff7 release(cli): 0.4.15 (#7095)
• 6511797 feat(cli): add langgraph deploy (#7004)
• 6a19a5a chore: Add cache (#7092)
• f4a18e0 chore(deps): bump the all-dependencies group in /libs/langgraph with 3 update...
• d5b6124 chore(deps): bump the all-dependencies group across 1 directory with 2 update...
• f7d94d2 chore(deps): bump the all-dependencies group in /libs/cli with 2 updates (#7075)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)