## Summary
Adds native uv workspace/lockfile support to the LangGraph CLI's Docker
build pipeline. Instead of listing dependencies manually, users can
point at their existing `uv.lock` and the CLI will:
1. Discover workspace packages and their dependency graph
2. Export locked requirements via `uv export --package <name> --frozen`
3. Copy only the necessary workspace closure into the container
4. Install packages in dependency order with `--no-deps` for
reproducibility
5. Rewrite all import paths (graphs, auth, encryption, etc.) to
container paths
### New config field: `source`
Rather than using `pip` or `uv pip`, we add a new `uv_lock` installer.
The previous installers should still remain unchanged.
To avoid ambiguity, we discriminate by "source" field and **do not
permit** other arbitrary "dependencies". In this mode, we will treat the
provided root (defaults to the current directory) as the source of
truth.
This also would natively support uv workspaces, so you can specify the
target package within a larger workspace.
**Simple single-package project:**
```json
{
"python_version": "3.11",
"graphs": {
"agent": "./agent.py:graph"
},
"source": {
"kind": "uv"
}
}
```
**Multi-package workspace with explicit package:**
```json
{
"python_version": "3.11",
"graphs": {
"agent": "../../apps/agent/src/agent/graph.py:graph"
},
"source": {
"kind": "uv",
"root": "../..",
"package": "agent"
}
}
```
**Traditional pip deployment (unchanged):**
```json
{
"python_version": "3.11",
"dependencies": ["langgraph", "my-package"],
"graphs": {
"agent": "./agent.py:graph"
}
}
```
Config validation enforces mutual exclusivity. you must use either
`dependencies` or `source`, not both.
---------
Co-authored-by: Will Fu-Hinthorn <will@langchain.dev>
## Summary
- The config processing code in `config.py` already handles graphs
defined as `{"path": "...", "description": "..."}` dicts, but the
`Config` TypedDict and JSON schema only declared `dict[str, str]`
- Added a `GraphDef` TypedDict with `path` and optional `description`
fields
- Updated `Config.graphs` to `dict[str, str | GraphDef]` and regenerated
the JSON schemas
- This makes the schema match the actual runtime behavior and fixes
IDE/schema validation for users who use the dict format
## Test plan
- [x] `make format` passes
- [x] `make lint` passes
- [x] `make test` passes (all 85 tests)
- [x] Schema regeneration produces consistent output
Release Notes: Update `langgraph.json` schema to support `{"path":
"...", "description": "..."}` format for graph definitions.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
- Add `"keep_latest"` to `ThreadTTLConfig.strategy` to match
langgraph-api support for pruning old checkpoints while retaining the
thread and its latest state
- Add `sweep_limit` to `ThreadTTLConfig` where the API actually reads it
(was previously a no-op on `CheckpointerConfig`)
- Regenerate `schema.json` / `schema.v0.json`
## Test plan
- [x] `make format && make lint` passes
- [x] `make test` passes (85/85)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
**Description:**
This PR adds the Python SDK types necessary for langgraph platform users
to inject their own custom encryption-at-rest functions. See [docs
PR](https://github.com/langchain-ai/docs/pull/1715) for more details.
note: this PR adds a starlette dev dependency so that custom encryption
can access BaseUser information.
**Issue:**
required for LSD-172
**Dependencies:**
- [depended upon by associated langgraph-api
changes](https://github.com/langchain-ai/langgraph-api/pull/1773)(this
PR must merge before that one)
- [docs PR](https://github.com/langchain-ai/docs/pull/1715)
**TODO:**
- [x] move docs to docs repo
- [x] bump package versions before merge
---------
Signed-off-by: Connor Braa <cwlbraa@langchain.dev>
Co-authored-by: Claude <noreply@anthropic.com>
