## Summary
- replace Python lint type-checking from mypy to ty across LangGraph
packages
- remove mypy config/cache wiring and mypy-only references
- regenerate uv locks with ty 0.0.43
## Verification
- git diff --check
- make lint_package && make lint_tests in libs/langgraph
- make lint_package && make lint_tests in libs/checkpoint
- make lint_package && make lint_tests in libs/checkpoint-sqlite
- make lint_package && make lint_tests in libs/checkpoint-postgres
- make lint_package && make lint_tests in libs/prebuilt
- make lint_package && make lint_tests in libs/cli
- make lint in libs/sdk-py
- make lint in libs/checkpoint-conformance
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: open-swe[bot] <215916821+open-swe[bot]@users.noreply.github.com>
## Summary
Bumps all alpha-versioned packages to their official releases:
- `langgraph`: `1.2.0a7` → `1.2.0`
- `langgraph-checkpoint`: `4.1.0a4` → `4.1.0`
- `langgraph-checkpoint-postgres`: `3.1.0a4` → `3.1.0`
- `langgraph-checkpoint-sqlite`: `3.1.0a1` → `3.1.0`
- `langgraph-prebuilt`: `1.1.0a2` → `1.1.0`
Also removes the `a*` alpha specifiers from cross-dependency pins in
`langgraph`, `checkpoint-postgres`, and `checkpoint-sqlite`, and
regenerates all `uv.lock` files.
## Summary
- Bumps `langgraph` 1.2.0a1 → 1.2.0a3
- Bumps `langgraph-checkpoint` 4.1.0a1 → 4.1.0a3
- Bumps `langgraph-checkpoint-postgres` 3.1.0a1 → 3.1.0a3
- Bumps min `langgraph-checkpoint` constraint in `langgraph` to
`>=4.1.0a3`
- Refreshes uv locks across the workspace
(Note: `a2` was already cut from another branch.)
## Test plan
- [ ] CI passes
## Summary
- Bumps `langgraph-checkpoint-postgres`'s pin on `langgraph-checkpoint`
from `>=4.0.3,<5.0.0` to `>=4.1.0a1,<5.0.0` so the postgres alpha
(3.1.0a1) requires the matching checkpoint alpha released in #7647.
- Mirrors the same pin update applied to `langgraph` (1.2.0a1) on
`wfh/releases/timers`.
## Why
The three alphas (checkpoint 4.1.0a1, checkpoint-postgres 3.1.0a1,
langgraph 1.2.0a1) are meant to be tested as a coherent set. `langgraph`
already pins `>=4.1.0a1`; checkpoint-postgres was missed in that release
and is still letting resolvers fall back to 4.0.x.
## Test plan
- [ ] CI green
- [ ] `uv lock` resolves cleanly across libs (verified locally via `make
lock` — no lock file changes since editable paths already resolved to
4.1.0a1)
## Description
Updates the X/Twitter social links to point to the new `@langchain_oss`
account across README badges and Python package metadata.
## Test Plan
- [ ] Verify README badges and package metadata point to
`@langchain_oss` on X
_Opened collaboratively by Mason Daugherty and open-swe._
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Mason Daugherty <61371264+mdrxy@users.noreply.github.com>
Co-authored-by: Mason Daugherty <mason@langchain.dev>
**Description:** Bumping the checkpoint-postgres package to version
3.0.1 to release an update to migrations
(https://github.com/langchain-ai/langgraph/pull/6400).
**Issue:** N/A
**Dependencies:** N/A
**Twitter handle:** N/A
In this PR:
- Bump `langgraph-checkpoint` to 3.0
- Bump `langgraph-checkpoint-sqlite` to 3.0; Update
`langgraph-checkpoint` deps to >=3,<4
- Bump `langgraph-checkpoint-postgres` to 3.0; Update
`langgraph-checkpoint` max to <4 (keep prior min since the deprecated
functionality wasn't explicitly used)
- Bump `langgraph` to 1.0.1; update `langgraph-checkpoint` max bound to
4
- Bump `prebuilt` to 1.0.1; update `langgraph-checkpoint` max bound to 4
* catching error thrown by asyncio
* using 2nd check for annotations given Pydantic 2.12 changes
* skipping tests for remote graph bc langgraph-api is dependent on
`jsonschema-rs`
* skipping tests w/ pydantic v1 models
```bash
hint: This usually indicates a problem with the package or the build environment.
help: `jsonschema-rs` (v0.29.1) was included because `langgraph:dev` (v1.0.0rc1) depends on `langgraph-cli[inmem]` which
depends on `langgraph-api` (v0.4.29) which depends on `jsonschema-rs`
```
not yet testing for free threaded python, that'll be much more involved!
ended up separating lint / testing deps during this process bc I was
getting a ton of not required deps while testing that were complicating
things :/
* Migrate to `uv`
* Format `pyproject.toml` files properly
* Remove upper bounds on dependencies, and bounds on dev dependencies
(we should be using latest)
* Move to hatch for packaing
In the future we should:
* Set up dependabot / automate lockfile updates and tests
* Add tests for min compatible versions (I'll do this right after merge)
* Use dynamic versioning
* Bump `pydantic` to v2.11.4 in the lockfile, we have some tests failing
The configuration expects the key "fields", not "text_fields": I had
failed to update across all implementations in the original PR
Thank you to Vincent Min for the fix!
---------
Co-authored-by: Vincent Min <93780551+VMinB12@users.noreply.github.com>
- Initializing the store with an 'embedding config' -> this contains the
'dims' (used to create the table) and the encoder object (rn langchain
embeddings object, though that is ......)
- Call setup() -> creates the vector table.
Each document has 1 or more vectors associated with it for each json
path in the embedding config.
Would welcome critique and requests!
Leaving the params as the defaults for pgvector but open to feedback if
you think it's important to be able to more transparently configure that
in setup()
```python
from typing import TypedDict, List, Dict, Any, Optional
from langchain_openai import OpenAIEmbeddings
from langgraph.graph import StateGraph
from langgraph.store.postgres import PostgresStore
emb_config = {
"dims": 1536, # OpenAI embedding dimensions
"embed": OpenAIEmbeddings(model="text-embedding-3-small"),
"distance_type": "cosine",
}
with PostgresStore.from_conn_string(
"postgres://postgres:postgres@localhost:5441",
embedding=emb_config,
) as store:
store.setup()
# Define the state type for our graph
class State(TypedDict):
query: str
results: Optional[List[Dict[str, Any]]]
def put_stuff(state: State) -> State:
docs = [
("doc1", {"text": "red apple in kitchen"}),
("doc2", {"text": "blue car in garage"}),
("doc3", {"text": "green apple on table"}),
]
for key, value in docs:
store.put(("docs",), key, value)
def search_stuff(state: State) -> State:
"""Search for documents using vector similarity."""
results = store.search(("docs",), query=state["query"])
return {"results": results}
builder = StateGraph(State)
builder.add_node(put_stuff)
builder.add_node(search_stuff)
builder.add_edge("__start__", "put_stuff")
builder.add_edge("put_stuff", "search_stuff")
# Compile
with PostgresStore.from_conn_string(
"postgres://postgres:postgres@localhost:5441",
embedding=emb_config,
) as store:
chain = builder.compile(store=store)
result = chain.invoke({"query": "sour apple"})
# Print results
for doc in result["results"]:
print(doc.key)
print(doc.value)
print(doc.response_metadata)
```
