Compare commits

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Author SHA1 Message Date
David DuongandGitHub e13a8bc320 fix: missing pgvector in CLI (#3165)
Fixes https://github.com/langchain-ai/langgraph/issues/3164
2025-01-25 04:27:42 +01:00
Tat Dat Duong 4b5b309152 Bump to 0.1.69 2025-01-25 04:18:18 +01:00
Tat Dat Duong 9d5166a0d3 Fix tests 2025-01-25 04:16:52 +01:00
Nuno CamposandGitHub 5b11683f4e Fix type hints for entrypoint decorator (#3198) 2025-01-24 15:07:21 -08:00
Vadym BardaandGitHub 3fae8d47c3 langgraph: handle more callable types in tasks (#3203) 2025-01-24 22:50:42 +00:00
Nuno Campos be9cb03dfa Lint 2025-01-24 13:51:16 -08:00
Vadym BardaandGitHub 6926c4bcc0 langgraph: add names for tasks (#3202) 2025-01-24 21:42:54 +00:00
Nuno Campos c04802a344 Fix type hints for entrypoint decorator 2025-01-24 09:31:27 -08:00
Nuno CamposandGitHub cf7f6691cf Improve typings for task, it now returns a mixed sync/async future protocol (#3186)
- note this type is never instantiated, it is only used for typing (we
cannot make it a protocol as it inherits from concurrent.futures.Future)
2025-01-24 09:19:51 -08:00
Vadym BardaandGitHub e1140f4fad ci: always test notebooks on all library versions (#3191) 2025-01-23 22:26:32 -05:00
Eugene YurtsevandGitHub ae8afb7677 reference: document entrypoint more (#3189)
add more documentation to the entrypoint primitive
2025-01-23 22:17:20 -05:00
Vadym BardaandGitHub 48040d8ea5 ci: run notebooks in 'development' for PRs (#3188) 2025-01-23 21:59:03 -05:00
Vadym BardaandGitHub ad51bfdf71 ci: only test changed notebooks using 'development' version of the library (#3187) 2025-01-23 21:41:47 -05:00
Nuno Campos 996b120613 Undo 2025-01-23 16:59:27 -08:00
Nuno Campos 1093dd55c8 Improve typings for task, it now returns a mixed sync/async future protocol
- note this type is never instantiated, it is only used for typing (we cannot make it a protocol as it inherits from concurrent.futures.Future)
2025-01-23 16:57:34 -08:00
Nuno CamposandGitHub d794875b32 Undo change to test watch mode (#3184) 2025-01-23 16:54:03 -08:00
Nuno Campos 6948cf5eb8 Undo change to test watch mode 2025-01-23 16:18:53 -08:00
Nuno CamposandGitHub bacc2955ae Remove implementation of get_graph for @entrypoint (#3183) 2025-01-23 15:48:22 -08:00
Nuno Campos f014d96d1c Remove implementation of get_graph for @entrypoint 2025-01-23 15:39:36 -08:00
RadiandGitHub 7b552ebf4b Update tool-calling.ipynb (#3178)
Typo fix
2025-01-23 18:02:43 -05:00
Vadym BardaandGitHub 1e61ddfdbe langgraph: release 0.2.67 (#3182) 2025-01-23 18:01:43 -05:00
Vadym BardaandGitHub d34846dc08 docs: fix a hub prompt (#3180) 2025-01-23 17:21:37 -05:00
Vadym BardaandGitHub 06823e327f langgraph: update docstrings/api ref for functional api (#3176) 2025-01-23 16:48:55 -05:00
Vadym BardaandGitHub 1059ef55d1 langgraph: handle node return annotations with unions (#3170) 2025-01-23 14:41:22 -05:00
39552255c8 langgraph: add support for BaseModel updates to Command (#2747)
Simple update that adds support for the `update` attribute of the
`Command` class to support Pydantic `BaseModel` type.

LangGraph already supports [Pydantic models for graph
states](https://langchain-ai.github.io/langgraph/how-tos/state-model/).

Extending support to the `update` attribute allows users to pass custom
BaseModel instances. Additionally, updates defined as `BaseModel` types
are type-validated when created.

https://github.com/langchain-ai/langgraph/issues/2804

---------

Co-authored-by: vbarda <vadym@langchain.dev>
2025-01-23 14:31:44 -05:00
Vadym BardaandGitHub 38bbe67469 langgraph: remove print (#3167) 2025-01-23 11:24:18 -05:00
Nuno CamposandGitHub 6335963674 Make scratchpad counters thread-safe (#3158)
- Same solution as used in python stdlib to name threads and asyncio
tasks
2025-01-23 07:37:04 -08:00
Nuno Campos 8a4c452317 Make test less flaky 2025-01-23 07:27:34 -08:00
Eugene YurtsevandGitHub 5dc5853161 Add entrypoint.final to decouple return value from save value (#3135)
* Introduce `entrypoint.final` that allows decoupling what's returned
from the state update.
* moving decorator to class object w/ call to support defining `final`
as a property on it -- this should play nicely w/ IDE tooling / type
checking.


```python
    previous_ = None

    @entrypoint(checkpointer=MemorySaver())
    def foo(msg: str, *, previous: Any) -> entrypoint.final[int, list[str]]:
        nonlocal previous_
        previous_ = previous
        previous = previous or []
        return entrypoint.final(value=len(previous), save=previous + [msg])

    assert foo.get_output_schema().model_json_schema() == {
        "title": "LangGraphOutput",
        "type": "integer",
    }

    config = {"configurable": {"thread_id": "1"}}
    assert foo.invoke("hello", config) == 0
    assert previous_ is None
    assert foo.invoke("goodbye", config) == 1
    assert previous_ == ["hello"]
    assert foo.invoke("definitely", config) == 2
    assert previous_ == ["hello", "goodbye"]

```
2025-01-23 10:18:23 -05:00
Vadym BardaandGitHub 9e066554ba langgraph: allow async state modifier in create_react_agent (#3161)
Fixes https://github.com/langchain-ai/langgraph/issues/2875
2025-01-23 09:29:25 -05:00
Tat Dat Duong 6ce9354ee4 fix: missing pgvector in CLI
Fixes https://github.com/langchain-ai/langgraph/issues/3164
2025-01-23 15:27:39 +01:00
Nuno Campos 211fd4337d Undo 2025-01-22 16:44:13 -08:00
Nuno Campos 44bf97ac0e Fix 2025-01-22 16:32:59 -08:00
Nuno Campos 23c73ae719 Update tests 2025-01-22 16:30:43 -08:00
Nuno CamposandGitHub 4165d479e9 langgraph: add test for interrupting multiple times from a task (#3148) 2025-01-22 16:25:03 -08:00
Nuno Campos c43a9a4bd0 Make scratchpad counters thread-safe
- Same solution as used in python stdlib to name threads and asyncio tasks
2025-01-22 16:07:59 -08:00
Nuno Campos c9613927dc Lint 2025-01-22 16:05:34 -08:00
Nuno Campos c697c2aa04 Undo 2025-01-22 16:02:09 -08:00
Nuno Campos 3f2557c9c9 Fix 2025-01-22 16:02:09 -08:00
Nuno Campos cbad17fa7d Fix 2025-01-22 16:02:09 -08:00
Nuno Campos 17dacb83a2 Fix 2025-01-22 16:02:09 -08:00
Nuno Campos 3a997be088 Fix 2025-01-22 16:02:09 -08:00
Chester CurmeandNuno Campos 020d10138d add test case 2025-01-22 16:02:09 -08:00
Vadym BardaandGitHub 303587c4ff docs: bring back image for concept doc (#3152) 2025-01-22 16:08:24 -05:00
Andrew NguonlyandGitHub 7d4e636313 docs: Add note about how to share Postgres instance for self-hosted deployments (#3139)
### Screenshot

![image](https://github.com/user-attachments/assets/1caa7581-9dda-4ffc-9fee-ffb0f72487ea)
2025-01-22 12:14:24 -08:00
Lance MartinandGitHub 86913caf89 Add agents and workflows overview (#3040) 2025-01-22 12:07:47 -08:00
Nuno CamposandGitHub 041faefe29 Remove write to RETURN channel for entrypoint func (#3149) 2025-01-22 11:46:14 -08:00
Nuno Campos b704cf30cc Lint 2025-01-22 11:34:30 -08:00
Nuno Campos 3915b44180 Format 2025-01-22 11:32:09 -08:00
Nuno Campos ac1407b23c Remove write to RETURN channel for entrypoint func 2025-01-22 09:44:52 -08:00
Vadym BardaandGitHub 44840aa23f docs: add missing api key to cross-thread persistence howto (#3141) 2025-01-21 21:24:01 -05:00
Vadym BardaandGitHub 51242e2a32 ci: pin codespell (#3140) 2025-01-21 21:22:23 -05:00
Vadym BardaandGitHub b358e2e7cd docs: fix typo in persistence howto (#3138) 2025-01-21 21:03:00 -05:00
Nuno CamposandGitHub 0d91ab1474 Disable recursing on runnables for task/entrypoint decorated funcs (#3136) 2025-01-21 15:47:51 -08:00
Nuno Campos 12ae297194 Disable recursing on runnables for task/entrypoint decorated funcs 2025-01-21 15:36:09 -08:00
Nuno Campos 0177565c6b Spell check 2025-01-21 15:14:00 -08:00
Bhavya DhimanandGitHub c48d495031 fix(requirements.txt): Set requirements path to posix expression so that it can work in windows OS as well. (#3101)
When I cloned langgraph example, I was not able to run the code because
of the requirements.txt file. The path was set to posix expression which
was not working in windows OS.
I have updated the path to posix expression so that it can work in
windows OS as well.

Try running `langgraph-example` in windows using the langgraph-cli in
windows OS. It was working for linux not in windows.
2025-01-21 14:30:13 -05:00
Vadym BardaandGitHub 22e6468af5 langgraph: release 0.2.66 (#3128) 2025-01-21 13:26:29 -05:00
ccurmeandGitHub 24bc0c0630 docs: update readme / docs intro page (#3082) 2025-01-21 13:19:30 -05:00
Nuno CamposandGitHub 802e6df8df Enable async tests that were being skipped (#3109)
- async tests are placed in test_pregel_async, not in test_pregel
- to avoid tests placed in wrong file being accidentally skipped i've
added the auto-async mark to sync test file
2025-01-21 10:16:20 -08:00
Nuno CamposandGitHub 3ec55b008d Fix timing issue where a sync task would finish before the other one was registered in futures dict (#3110)
- this was not possible in async where all done callbacks are called in
next tick
- in sync case this would manifest as the first task done callback
seeing counter == 1 and thus setting event
- the fix is to unset the event whenever a task is scheduled
2025-01-21 10:16:09 -08:00
Nuno CamposandGitHub e10b7c1391 Re-enable support for running sync tasks from async entrypoints (#3108)
- When using an async entrypoint you can now freely mix and match sync
and async tasks with a uniform api (ie all tasks return a sync or async
future depending on context)
- Fix issues with scheduling deeply nested tasks (use threadsafe methods
to schedule coroutines and create futures)
2025-01-21 10:15:49 -08:00
Nuno CamposandGitHub 31cc6b9f1d Fix tracing of args for @task decorated functions (#3107)
- now using same logic as in langsmith sdk, treating as single args
dict, based on function signature
2025-01-21 10:09:13 -08:00
Nuno Campos 2cafb4905b Lint 2025-01-21 10:06:02 -08:00
Nuno Campos fe46576d98 Fix 2025-01-21 09:59:49 -08:00
Nuno Campos 16c86c9de6 Add test 2025-01-21 09:49:46 -08:00
fca0d2d5bb Update libs/langgraph/langgraph/utils/future.py
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
2025-01-21 09:43:12 -08:00
Nuno Campos c7c62f5587 Fix 2025-01-21 09:42:25 -08:00
Vadym BardaandGitHub 956c5f68fc docs: add a how-to guide for structured outputs in react agent (#3121) 2025-01-21 17:30:32 +00:00
ccurmeandGitHub 4908caf522 docs: how-to guides nits (#3123) 2025-01-21 12:17:37 -05:00
Chester Curme f926eada24 fix warnings 2025-01-21 12:06:42 -05:00
Chester Curme adc1e47028 nits 2025-01-21 12:00:12 -05:00
Vadym BardaandGitHub 7820b5c765 docs: add docs for Command.PARENT (#3081) 2025-01-21 16:37:39 +00:00
Chester Curme ca6f8e2042 Merge branch 'main' into cc/update_readme 2025-01-21 10:31:29 -05:00
Chester Curme ee61d06f8d add hyperlink 2025-01-21 10:31:27 -05:00
Roy BarberandGitHub 6eeb9de46a DOCS: Incorrect reference to JS/TS SDK as Python SDK (#3103)
Small typo in the Local Server page:
https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/
2025-01-21 09:34:57 -05:00
viren-viiandGitHub 19a91f4677 Update persistence_postgres.ipynb to remove typo in markdown cell. (#3119)
Fixed a typo that was interrupting the markdown.
2025-01-21 09:33:31 -05:00
BagaturandGitHub 6087b1969e python[patch]: call create_react_agent model node without is_last_step (#3114)
So that you can call agent.nodes['agent'].invoke({'messages': []})
without needing to specify is_last_step. very helpful for evaluating
just the model node of the agent
2025-01-20 18:28:57 -08:00
Nuno CamposandGitHub 6cbc7e8b67 Add get_store function (#3112) 2025-01-20 16:12:39 -08:00
Nuno Campos b2213e523e Add get_store function 2025-01-20 16:03:27 -08:00
David DuongandGitHub ac64f50383 feat(cli): add detection for bun.lockb (#3111) 2025-01-21 00:30:22 +01:00
Tat Dat Duong 25239891bc feat(cli): add detection for bun.lockb 2025-01-21 00:17:12 +01:00
Nuno Campos b7c3ac4501 Fix tracing output 2025-01-20 13:55:13 -08:00
Nuno Campos 09e8516689 Fix test 2025-01-20 11:57:19 -08:00
Nuno Campos 3ca75d69b8 Lint 2025-01-20 11:57:19 -08:00
Nuno Campos d48dec5452 Enable async tests that were being skipped
- async tests are placed in test_pregel_async, not in test_pregel
- to avoid tests placed in wrong file being accidentally skipped i've added the auto-async mark to sync test file
2025-01-20 11:57:19 -08:00
Nuno Campos d48b25420b Fix timing issue where a sync task would finish before the other one was registered in futures dict
- this was not possible in async where all done callbacks are called in next tick
- in sync case this would manifest as the first task done callback seeing counter == 1 and thus setting event
- the fix is to unset the event whenever a task is scheduled
2025-01-20 11:40:54 -08:00
Nuno Campos 12be3fac33 Lint 2025-01-20 11:13:37 -08:00
Nuno Campos aed1f0ba18 Re-enable support for running sync tasks from async entrypoints
- When using an async entrypoint you can now freely mix and match sync and async tasks with a uniform api (ie all tasks return a sync or async future depending on context)
- Fix issues with scheduling deeply nested tasks (use threadsafe methods to schedule coroutines and create futures)
2025-01-20 11:03:51 -08:00
Nuno Campos 07695f5c5a Lint 2025-01-20 10:53:37 -08:00
Nuno Campos 204c9c83f8 Fix tracing of args for @task decorated functions
- now using same logic as in langsmith sdk, treating as single args dict, based on function signature
2025-01-20 10:49:27 -08:00
David DuongandGitHub 0bdd27ade4 fix(cli): warn users to use the JS cli for JS graphs (#3086) 2025-01-18 02:29:45 +01:00
David DuongandGitHub ab0048981a docs: add mention of JS CLI (#3077) 2025-01-18 01:52:00 +01:00
Tat Dat DuongandNuno Campos e18f2b3795 fix(cli): warn users to use the JS cli for JS graphs 2025-01-17 16:07:31 -08:00
Chester CurmeandNuno Campos 31578cbe0e move code block 2025-01-17 16:07:16 -08:00
Chester CurmeandNuno Campos 44970640d5 cr 2025-01-17 16:07:16 -08:00
Chester CurmeandNuno Campos 0f4e42474f cr 2025-01-17 16:07:16 -08:00
Chester CurmeandNuno Campos 832f9ad64e copy changes to libs/langgraph/README.md 2025-01-17 16:07:16 -08:00
Chester CurmeandNuno Campos 318de5bb81 update readme 2025-01-17 16:07:16 -08:00
William FHandGitHub a11f9b3535 Fix docstring in pg store init (#3094) 2025-01-18 00:03:51 +00:00
Nuno CamposandGitHub 29db5a8672 Implement get_graph for imperative api (#3076) 2025-01-17 15:53:50 -08:00
Nuno CamposandGitHub 444faec6e6 Fix two issues with task/stream timing (#3095)
- both issues are related to the fact that waiters for futures are
notified of completion before "done" callbacks are called
- 1st issue manifested as interrupt stream event being emitted before
the result of a task that logically finished first (it's in the line
above in body of the entrypoint function) -> this is solved by always
returning to use code a fresh future chained on the original future,
because chaining is done via done callbacks (therefore the chained
future will only resolve after done callbacks of the original feature
are called)
- 2nd issue mainfested as sometimes (very rarely) the last stream event
not being printed before stream() finishes. this is solved by ensuring
we only return out of PregelRunner.tick() once all "done" callbacks are
called, previously we were approximating this through use of
asyncio.sleep(0) / time.sleep(0). The new solution instead waits on a
threading/asyncio.Event which will only be set by the last "done"
callback to fire
- this PR also disables incomplete support for calling sync tasks from
async entrypoints
2025-01-17 15:44:52 -08:00
Nuno Campos e4a5c8fd28 Fix two issues with task/stream timing
- both issues are related to the fact that waiters for futures are notified of completion before "done" callbacks are called
- 1st issue manifested as interrupt stream event being emitted before the result of a task that logically finished first (it's in the line above in body of the entrypoint function) -> this is solved by always returning to use code a fresh future chained on the original future, because chaining is done via done callbacks (therefore the chained future will only resolve after done callbacks of the original feature are called)
- 2nd issue mainfested as sometimes (very rarely) the last stream event not being printed before stream() finishes. this is solved by ensuring we only return out of PregelRunner.tick() once all "done" callbacks are called, previously we were approximating this through use of asyncio.sleep(0) / time.sleep(0). The new solution instead waits on a threading/asyncio.Event which will only be set by the last "done" callback to fire
2025-01-17 15:35:08 -08:00
Tat Dat Duong 0f1b0bfba3 typo 2025-01-17 23:40:58 +01:00
Tat Dat Duong 0e79407973 Last pass 2025-01-17 23:40:58 +01:00
Tat Dat Duong efa51fe22c Update README.md 2025-01-17 23:40:58 +01:00
Tat Dat Duong 11f2501c98 docs: add mention of JS CLI 2025-01-17 23:40:58 +01:00
Eugene YurtsevandGitHub 71e6002a3c docs: update broken api reference (#3093) 2025-01-17 17:04:54 -05:00
Andrew NguonlyandGitHub 26e3ded701 docs: Add note about cron jobs not available in LangGraph Platform Self-Hosted Lite (#3091) 2025-01-17 12:52:46 -08:00
Eugene YurtsevandGitHub 4fcd1690f9 docs: expose functional api reference (#3089)
The API reference is marked as experimental right now, so this is OK to expose to make it easier to share w/ beta users.
2025-01-17 15:18:43 -05:00
Vadym BardaandGitHub eb33a873c8 langgraph: release 0.2.64 (#3090) 2025-01-17 15:18:34 -05:00
91aa66f4cf tests: add tests for calling multiple subgraphs in a parent node (#3070)
Co-authored-by: Nuno Campos <nuno@langchain.dev>
2025-01-17 15:16:01 -05:00
Eugene Yurtsev 4476640702 x 2025-01-17 15:08:32 -05:00
Eugene YurtsevandGitHub 727e3f1730 functional api: first pass at api reference (#3083)
First pass at the API reference for the functional API
2025-01-17 14:46:22 -05:00
Vadym BardaandGitHub 943dd28863 docs: update state to include 'next' for supervisor notebooks (#3087) 2025-01-17 14:32:15 -05:00
ccurmeandGitHub aa9d253978 docs: highlight lines in troubleshooting doc (#3084)
![Screenshot 2025-01-17 at 1 44
07 PM](https://github.com/user-attachments/assets/b7009c77-cb2e-43e0-92a7-3978884b7f3e)
2025-01-17 18:53:21 +00:00
Eugene YurtsevandGitHub a11c6cfe6b Update docs/mkdocs.yml 2025-01-17 13:36:44 -05:00
Eugene Yurtsev 15c79dc3c3 x 2025-01-17 13:34:49 -05:00
Eugene Yurtsev a65c9f1e04 x 2025-01-17 13:11:23 -05:00
9912ae1053 docs: add high level example into the readme, make examples collapsible (#3052)
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-01-17 17:10:22 +00:00
ccurmeandGitHub 7db29042b4 docs[patch]: update quickstart tutorial to use interrupt() (#3053)
Need to update cassettes
2025-01-17 11:24:40 -05:00
Chester Curme f8033a20c1 update cassettes 2025-01-17 11:15:33 -05:00
Chester Curme 5e3aa495d9 update 2025-01-17 11:05:55 -05:00
Chester Curme a54689affd ruff 2025-01-17 11:02:58 -05:00
Chester Curme 02ea523897 udpate 2025-01-17 11:02:25 -05:00
Chester Curme 18c6637e6c use message dicts instead of tuples 2025-01-17 10:34:21 -05:00
Chester Curme 4c02a4c501 Revert "disable parallel tool use"
This reverts commit 784b6afa11.
2025-01-17 10:19:17 -05:00
Chester Curme 784b6afa11 disable parallel tool use 2025-01-17 10:15:06 -05:00
Chester Curme b35b892d74 Merge branch 'main' into cc/update_quickstart 2025-01-17 10:02:29 -05:00
Chester Curme e7aaf21121 update 2025-01-17 10:02:18 -05:00
Eugene Yurtsev 54115ac796 x 2025-01-17 09:58:06 -05:00
ccurmeandGitHub 76be64adcb docs[patch]: fix builds (#3074) 2025-01-17 02:41:47 +00:00
Nuno Campos 2cf98725c4 Lint 2025-01-16 16:32:39 -08:00
Nuno Campos a33c59626a Lint 2025-01-16 16:01:57 -08:00
Nuno Campos 56d3b759c7 Add one more test 2025-01-16 15:46:25 -08:00
Nuno Campos 32bf81c559 Lint 2025-01-16 14:10:16 -08:00
Eugene Yurtsev de332ec31c x 2025-01-16 17:08:12 -05:00
Eugene YurtsevandGitHub ce30965df4 functional api: Add ability to request previous output (#3025)
1. The inputs into foo do not affect any state behavior
2. `previous` always reflects the previous return value from the
function
3. Anything can be returned and that will be the new state for the
function on the next iteration
4. This API is not meant to support reducers in the inputs/state

```python
  from langgraph.func import entrypoint

  states = []

  # In this version reducers do not work
  @entrypoint(checkpointer=MemorySaver())
  def foo(inputs, *, previous: Any) -> Any:
      states.append(previous)
      return {"previous": previous, "current": inputs}

  config = {"configurable": {"thread_id": "1"}}

  foo.invoke({"a": "1"}, config)
  foo.invoke({"a": "2"}, config)
  foo.invoke({"a": "3"}, config)
  assert states == [
      None,
      {"current": {"a": "1"}, "previous": None},
      {"current": {"a": "2"}, "previous": {"current": {"a": "1"}, "previous": None}},
  ]
```
2025-01-16 17:02:41 -05:00
Nuno Campos b98a7b09a3 Update 2025-01-16 13:44:19 -08:00
Nuno Campos 86b6afc982 Implement get_graph for imperative api 2025-01-16 13:44:18 -08:00
Nuno CamposandGitHub 47122ce88b docs: Add status field to Project object for Control Plane API (#3075) 2025-01-16 13:42:48 -08:00
Andrew Nguonly 002b048674 Add status field to Project object. 2025-01-16 13:27:23 -08:00
Eugene Yurtsev a58f5dacca x 2025-01-16 16:26:54 -05:00
Chester Curme cc397b1629 update cassettes 2025-01-16 16:24:05 -05:00
Eugene Yurtsev 3a48049194 x 2025-01-16 16:19:23 -05:00
Eugene Yurtsev e5f0db0af3 x 2025-01-16 16:09:11 -05:00
Chester Curme 93854ed721 fix link 2025-01-16 15:12:53 -05:00
Eugene Yurtsev 83a7acc57c Merge branch 'main' into eugene/expose_previous_state 2025-01-16 14:56:46 -05:00
Eugene Yurtsev b218cc76a7 type ignore for now 2025-01-16 14:50:40 -05:00
Eugene Yurtsev d021f476db x 2025-01-16 14:23:32 -05:00
Chester Curme d978cb0392 part 7 -> part 6 2025-01-16 14:21:40 -05:00
Chester Curme 605fe4ea11 simplify hitl, condense part 5 2025-01-16 14:20:05 -05:00
Eugene Yurtsev 46907b6cf9 x 2025-01-16 14:04:00 -05:00
Eugene Yurtsev 582856b30c x 2025-01-16 14:00:42 -05:00
Eugene Yurtsev e476897177 fix merge error 2025-01-16 13:58:55 -05:00
Eugene Yurtsev 421f7c0238 x 2025-01-16 13:55:41 -05:00
Eugene Yurtsev 3095bfce9c Merge branch 'main' into eugene/expose_previous_state 2025-01-16 13:54:05 -05:00
Nuno CamposandGitHub 4cfe0b2d4c tests: add a test for interrupt() w/ functional API (#3065) 2025-01-16 10:04:17 -08:00
Nuno Campos a16def5140 Lint 2025-01-16 09:55:04 -08:00
Nuno CamposandGitHub 1e730d124c Make config schema configurable for imperative api (#3067) 2025-01-16 09:52:55 -08:00
ccurmeandGitHub 21a7105655 docs[patch]: enable navigation back to index pages from child pages via sidebar (#3069)
Currently, if you're viewing a how-to guide and you click "How-to
Guides" in the sidebar, you aren't navigated back to the index page (it
will work if you click on a different guides section). To get back to
the index page, you need to scroll up and click the breadcrumbs.

After this change, clicking the link in the sidebar should navigate you
to the index page regardless of the page you are viewing.

Only side-effect from what I can tell is that "Home > Introduction" just
becomes "**Home**", which I think is fine (maybe preferable).

Before:
![Screenshot 2025-01-16 at 11 16
26 AM](https://github.com/user-attachments/assets/e4bdedfc-ed52-4a66-b0b2-194383ce2043)

After:
![Screenshot 2025-01-16 at 11 16
00 AM](https://github.com/user-attachments/assets/4d1d935b-5b11-43ac-8b63-c5aaff871188)
2025-01-16 12:52:16 -05:00
Nuno Campos 8c88e203bc Fix 2025-01-16 09:51:46 -08:00
Nuno CamposandGitHub 2a1224966c Implement input/output schemas for imperative api (#3066) 2025-01-16 08:45:02 -08:00
vbarda c4460e5dd2 add another test 2025-01-16 11:20:09 -05:00
Nuno Campos 46056363b3 Make config schema configurable for imperative api 2025-01-16 08:00:08 -08:00
Nuno Campos ba672604a6 Implement input/output schemas for imperative api 2025-01-16 07:57:00 -08:00
vbarda 8b1597a385 tests: add a test for interrupt() w/ functional API 2025-01-16 10:16:26 -05:00
Vadym BardaandGitHub adff439d4e langgraph: release 0.2.63 (#3064) 2025-01-16 09:19:25 -05:00
Vadym BardaandGitHub 89b0be3a7d checkpoint-postgres: release 2.0.13 (#3063) 2025-01-16 09:17:43 -05:00
Vadym BardaandGitHub 7ecda42b42 checkpoint-postgres: bring back missing migration (#3058) 2025-01-16 03:16:28 +00:00
Nuno CamposandGitHub bd99471705 tests: Add test for catching bunching in streaming (#3057) 2025-01-15 18:57:07 -08:00
Nuno Campos 0e4dbb4c62 Guard 2025-01-15 18:36:49 -08:00
Nuno Campos 145220f2a8 Fix 2025-01-15 18:29:34 -08:00
Eugene Yurtsev f9c25bba07 x 2025-01-15 21:15:38 -05:00
Eugene Yurtsev 7ecad39ecb x 2025-01-15 21:15:05 -05:00
Nuno CamposandGitHub 6bfc6be307 Add support for multiple subgraphs called in a single node (#3056) 2025-01-15 18:01:31 -08:00
Nuno Campos 6b9369876f Fix sync 2025-01-15 17:52:19 -08:00
Nuno Campos c26b0e78b6 Fix kafka lib 2025-01-15 17:15:58 -08:00
Nuno CamposandGitHub 1763dd69a7 Add checkpointer=True mode for subgraphs that want to keep state between turns (#3055) 2025-01-15 16:08:03 -08:00
Nuno Campos f4bd023ab1 Fix 2025-01-15 16:04:14 -08:00
Nuno Campos d402bf7379 Remove flag 2025-01-15 15:36:16 -08:00
Nuno Campos e8a73e1505 Remove flag 2025-01-15 15:36:10 -08:00
Nuno Campos d6492ef048 Add support for multiple subgraphs called in a single node 2025-01-15 15:36:10 -08:00
Nuno Campos 38d9b39f6e Add flag 2025-01-15 15:36:03 -08:00
Nuno Campos be8b4a1d7f Lint 2025-01-15 15:30:29 -08:00
Nuno Campos 71fbd6a8b4 Lint 2025-01-15 15:29:34 -08:00
Nuno Campos 5375af7827 Add checkpointer=True mode for subgraphs that want to keep state betweenn turns 2025-01-15 15:15:44 -08:00
Chester Curme 1654062957 enable navigation.indexes 2025-01-15 18:14:37 -05:00
Eugene Yurtsev 6b707cbfc5 x 2025-01-15 17:15:56 -05:00
Nuno CamposandGitHub dd7ac00953 Fix unexpected re-use of null resume value by subgraphs (#3054)
- Also stop exposing writes in config, in favor of scratchpad
2025-01-15 13:59:13 -08:00
Nuno Campos cd64075928 Lint 2025-01-15 13:49:33 -08:00
Nuno Campos 144ee31546 Lint 2025-01-15 13:43:14 -08:00
Nuno CamposandGitHub 8bb84c7096 Fix ignored goto when a mixed list of command and state updates is returned from a node (#3038) 2025-01-15 13:39:59 -08:00
Nuno Campos e83660885b Lint 2025-01-15 13:39:44 -08:00
Nuno Campos c2a57385c0 Update tests 2025-01-15 13:35:51 -08:00
Nuno Campos 3626478029 Fix unexpected re-use of null resume value by subgraphs
- Also stop exposing writes in config, in favor of scratchpad
2025-01-15 13:31:49 -08:00
Chester Curme 30311f3fb9 ruff 2025-01-15 16:12:01 -05:00
Chester Curme 0f458fbaff update 2025-01-15 16:06:55 -05:00
Brace SproulandGitHub 13c9bfa282 feat(langgraph): Add interrupt schema to library (#2947) 2025-01-15 12:55:47 -08:00
Andrew NguonlyandGitHub b6fe3937fc docs: Add section about Persistence to Cloud SaaS concepts page (#3051) 2025-01-15 12:27:53 -08:00
Chester Curme d7bae594f0 update hitl 2025-01-15 15:04:43 -05:00
Nuno Campos 5805e5709a Fix ignored goto when a mixed list of command and state updates is returned from a node 2025-01-15 11:42:28 -08:00
Nuno CamposandGitHub aab6fdf3f3 Fix Send order after interrupt/resume (#3037)
- order was incorrectly based on task id, instead of the correct task
path
- this requires storing task paths on checkpointers
- addition of task_path to put_writes is made backwards compatible by
checking signature on call, and treating it as an optional arg
2025-01-15 11:42:08 -08:00
Nuno CamposandGitHub be1d035aba tests: add test for multiple interrupts and tasks (#2941) 2025-01-15 11:41:30 -08:00
Nuno Campos 6e228f8a9c Lint 2025-01-15 11:32:42 -08:00
Nuno Campos 0adbd89d9a Bump checkpoint 2025-01-15 11:28:55 -08:00
Nuno Campos 47c37d140f Fix Send order after interrupt/resume
- order was incorrectly based on task id, instead of the correct task path
- this requires storing task paths on checkpointers
- addition of task_path to put_writes is made backwards compatible by checking signature on call, and treating it as an optinal arg
2025-01-15 11:28:26 -08:00
Nuno Campos fc887f7a5d checkpoint-postgres/sqlite 2.0.12/2.0.3 2025-01-15 11:26:51 -08:00
ccurmeandGitHub bbfc2b7370 docs[patch]: add section headers to LangGraph concepts page (#3047)
![Screenshot 2025-01-15 at 1 03
45 PM](https://github.com/user-attachments/assets/c7a6d5b7-cc42-4616-bba0-4352c2f922bc)
2025-01-15 14:15:33 -05:00
Nuno Campos 2c984dfe4e checkpoint 2.0.10 2025-01-15 11:14:03 -08:00
Nuno CamposandGitHub 09c0d9cec3 Add optional task_path arg for put_writes() (#3049)
- Will be used for sorting pending_sends when available
2025-01-15 11:11:10 -08:00
Nuno Campos 31734fb792 Lint 2025-01-15 11:02:10 -08:00
Nuno Campos eed577ee2a Update sqlite signature 2025-01-15 10:58:46 -08:00
Nuno Campos bba00506ea Lint 2025-01-15 10:57:26 -08:00
Nuno Campos fa12538a4e Lint 2025-01-15 10:50:11 -08:00
Nuno Campos c1a7bb8902 Lint 2025-01-15 10:49:47 -08:00
Nuno Campos 14b500d8a8 Fix 2025-01-15 10:47:09 -08:00
Nuno Campos 053a501db3 Add optional task_path arg for put_writes()
- Will be used for sorting pending_sends when available
2025-01-15 10:42:54 -08:00
Andrew NguonlyandGitHub bbe8eacf8d docs: Update Studio FAQ (#3048)
### Screenshot

![image](https://github.com/user-attachments/assets/6da2faa6-1c62-44e4-96f8-3450f94cb15c)
2025-01-15 10:23:43 -08:00
Nuno Campos 931d39124c Fix 2025-01-15 10:23:30 -08:00
Nuno Campos a7bb96da98 Fix 2025-01-15 10:21:40 -08:00
Nuno Campos 1e9a372dd7 Fix multiple interrupt/task test 2025-01-15 10:11:31 -08:00
Chester Curme 5030f1e89c bold -> headers 2025-01-15 13:02:59 -05:00
Nuno CamposandGitHub 50cb387904 Remove duckdb checkpointer and store (#3046)
- duckdb is too buggy to be able to provide reliable checkpointer and
store
2025-01-15 09:23:49 -08:00
Nuno Campos 003b1883c9 Remove duckdb checkpointer and store
- duckdb is too buggy to be able to provide reliable checkpointer and store
2025-01-15 09:15:17 -08:00
Nuno Campos 17aebb6239 Fix flasy return from task 2025-01-15 09:14:36 -08:00
Nuno CamposandGitHub d12830e95c Fix tracing hierarchy for imperative api (#3036) 2025-01-15 09:10:45 -08:00
Eugene YurtsevandNuno Campos 29b70cbf39 x 2025-01-15 09:03:46 -08:00
Eugene YurtsevandNuno Campos 6b86fbb0a8 x 2025-01-15 09:03:46 -08:00
Nuno CamposandGitHub 4426552c26 Fix flaky test output order (#3045) 2025-01-15 09:02:05 -08:00
Nuno Campos 671f268651 Remove duckdb checkpointer and store
- duckdb is too buggy to be able to provide reliable checkpointer and store
2025-01-15 08:56:32 -08:00
Vadym BardaandGitHub e2554c9616 langgraph: fix non-empty value check in ensure_config (#3039)
Fixes https://github.com/langchain-ai/langgraph/issues/2890
2025-01-15 16:54:31 +00:00
Nuno CamposandGitHub f1ee650489 Remove CI job to test against core 0.2.x (#3044) 2025-01-15 08:52:58 -08:00
Nuno Campos b7e4656c91 Fix flaky test output order 2025-01-15 08:45:35 -08:00
Nuno Campos 65a41942ef Remove CI job to test against core 0.2.x 2025-01-15 08:39:09 -08:00
Nuno Campos c767d86c9c Remove ci job for removed flag 2025-01-15 08:37:24 -08:00
Nuno Campos 01331ef858 Lint 2025-01-15 08:33:09 -08:00
Nuno CamposandGitHub 24a4c67c52 Merge branch 'main' into nc/14jan/fix-tracing-hierarchy-imperative 2025-01-15 08:31:38 -08:00
Nuno CamposandGitHub c7e43f86d4 Remove send v2 (#3033) 2025-01-15 08:29:05 -08:00
Vadym BardaandGitHub b18d266f2c langgraph: allow model names as strings in create_react_agent (#3031)
```python
agent = create_react_agent("anthropic:claude-3-5-sonnet-latest", [add])
agent.invoke({"messages": [("user", "what's 3 + 5")]})
```
2025-01-15 09:43:37 -05:00
Eugene YurtsevandGitHub 536ee7b37a docs: document inject kwarg (#3026) 2025-01-14 21:41:27 -05:00
Nuno Campos 901273c0e2 Lint 2025-01-14 17:09:30 -08:00
Nuno Campos 7bdbd62611 Fix tracing hierarchy for imperative api 2025-01-14 17:03:45 -08:00
Nuno Campos 0b74e25f72 Remove send v2 2025-01-14 15:49:57 -08:00
Eugene YurtsevandGitHub ff843ab005 docs: internal doc nits (#2946)
Update internal documentation
2025-01-14 23:16:38 +00:00
Eugene Yurtsev 7603809a9f x 2025-01-14 18:06:09 -05:00
Vadym BardaandGitHub f7fae7e140 langgraph: fix ismethod check in add_node (#3032)
Fixes #2893 #2965
2025-01-14 17:17:50 -05:00
Eugene YurtsevandGitHub 651ee8bd24 Update local-server.md (#3030) 2025-01-14 16:22:26 -05:00
Eugene YurtsevandGitHub 54bdba2da9 Update introduction.ipynb (#3029) 2025-01-14 16:20:54 -05:00
Eugene YurtsevandGitHub 7e5806cb0b Update local-server.md 2025-01-14 16:13:57 -05:00
Eugene YurtsevandGitHub 66f674fead Update introduction.ipynb 2025-01-14 16:12:20 -05:00
Vadym BardaandGitHub f029d615e6 ci: fix docs build (#3028) 2025-01-14 15:58:03 -05:00
Eugene Yurtsev bd76773b31 x 2025-01-14 15:50:20 -05:00
Eugene Yurtsev 311fe3970c x 2025-01-14 15:39:57 -05:00
Eugene Yurtsev 67a800dd98 update 2025-01-14 15:37:10 -05:00
ccurmeandGitHub 9b6e6d67dc layout (#2972)
Some docs layout improvements to help guide user journey.

Currently we have `Home | Tutorials | How-tos | Concepts | Reference` in
top-level horizontal navigation bar.

Here we make these updates:
- Top-level horizontal navigation bar is just `Home | API Reference`
- Add vertical sidebar to `Home` with sections:
  - Introduction
  - Get started
  - Guides
  - Resources

`Get Started` contains quickstarts for LG and LG Platform / deployment.
These are tutorials in Diataxis terms.

`Guides` contains index pages for how-tos, concepts, tutorials.

Advantage of this organization is that users are directed naturally down
the sidebar from Intro -> Get started -> How-tos, which is roughly how
we expect them to proceed.

This also makes deployment info more accessible as it is highlighted in
the "Getting started" section.

![Screenshot 2025-01-14 at 1 37
01 PM](https://github.com/user-attachments/assets/76dcde25-874b-4def-ad71-5313e399b7d7)
2025-01-14 15:29:59 -05:00
ccurmeandGitHub ecfb3e3850 Merge branch 'main' into eugene/langgraph_nav 2025-01-14 15:21:26 -05:00
Chester Curme ec71cd6fc1 update 2025-01-14 15:09:46 -05:00
Vadym BardaandGitHub aab4f0b164 checkpoint-duckdb: release 2.0.2 (#3024) 2025-01-14 15:08:49 -05:00
Chester Curme 2db6d9d7b5 clean up 2025-01-14 15:08:48 -05:00
Vadym BardaandGitHub 5db71a32bf checkpoint-duckdb: handle calling .list on async checkpointer (#3022) 2025-01-14 20:00:58 +00:00
Chester Curme 0f5df797af fix link 2025-01-14 15:00:38 -05:00
Vadym BardaandGitHub 4c0f855329 ci: fix docs runner (#3010) 2025-01-14 14:58:34 -05:00
Chester Curme 5dc3f14e8b populate troubleshootings nav 2025-01-14 14:56:23 -05:00
Chester Curme f25ea9ecaf populate tutorials nav 2025-01-14 14:50:05 -05:00
Chester Curme 9940a9f833 populate how-tos nav 2025-01-14 14:47:42 -05:00
Chester Curme d175d5e4a8 populate concepts nav 2025-01-14 14:42:10 -05:00
Vadym BardaandGitHub 74adbb744b bump checkpoint sqlite, postgres (#3021) 2025-01-14 14:41:22 -05:00
Chester Curme fe63440d98 add deployment landing page 2025-01-14 14:40:45 -05:00
bracesproul 0d50c62283 cr 2025-01-14 10:39:57 -08:00
vbarda a9073241b2 add css for navbar depth 2025-01-14 13:31:39 -05:00
Chester Curme 0a04262f05 add custom css 2025-01-14 12:46:00 -05:00
Chester Curme 381796c474 hack 2025-01-14 12:39:38 -05:00
Chester Curme 09ae5ce05d update 2025-01-14 11:26:49 -05:00
Chester Curme 59e7751a8c update 2025-01-14 10:48:50 -05:00
Chester Curme b9816e31ff update 2025-01-13 19:12:51 -05:00
Chester Curme 3ea7f9469a update 2025-01-13 18:26:24 -05:00
Chester Curme 24e61fafa9 update 2025-01-13 16:22:58 -05:00
bracesproul b52b32b38e format n lint 2025-01-13 13:14:36 -08:00
Brace SproulandGitHub 5aefa5dc8c Merge branch 'main' into brace/interrupt-schema 2025-01-13 13:08:37 -08:00
Chester Curme 2b370cf3b7 template applications -> lg plat 2025-01-13 14:21:12 -05:00
Chester Curme 839bea0f33 fixup 2025-01-13 14:16:14 -05:00
bracesproul cfb121ee8f cr 2025-01-10 10:45:45 -08:00
bracesproul d27beeed18 move to prebuilt 2025-01-10 10:45:22 -08:00
Eugene Yurtsev fba5ca7ab9 x 2025-01-09 12:24:30 -05:00
Eugene Yurtsev f141089811 x 2025-01-09 11:11:04 -05:00
Eugene Yurtsev 38487cb158 x 2025-01-09 11:11:04 -05:00
bracesproul 8534212a25 cr 2025-01-07 10:15:48 -08:00
bracesproul e39255a792 feat: Add interrupt schema to library 2025-01-07 10:00:38 -08:00
229 changed files with 8432 additions and 13480 deletions
+1 -16
View File
@@ -17,21 +17,11 @@ jobs:
- "3.11"
- "3.12"
- "3.13"
core-version:
- "latest"
ff-send-v2:
- "false"
include:
- python-version: "3.11"
core-version: ">=0.2.42,<0.3.0"
- python-version: "3.11"
core-version: "latest"
ff-send-v2: "true"
defaults:
run:
working-directory: libs/langgraph
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }}, ff-send-v2: ${{ matrix.ff-send-v2 }})"
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
@@ -51,14 +41,9 @@ jobs:
shell: bash
run: |
poetry install --with dev
if [ "${{ matrix.core-version }}" != "latest" ]; then
poetry run pip install "langchain-core${{ matrix.core-version }}"
fi
- name: Run tests
shell: bash
env:
LANGGRAPH_FF_SEND_V2: ${{ matrix.ff-send-v2 }}
run: |
make test_parallel
+14 -6
View File
@@ -31,7 +31,6 @@ jobs:
"libs/cli",
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-duckdb",
"libs/checkpoint-postgres",
"libs/scheduler-kafka",
]
@@ -44,12 +43,12 @@ jobs:
name: cd ${{ matrix.working-directory }}
strategy:
matrix:
working-directory: [
working-directory:
[
"libs/cli",
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-duckdb",
"libs/checkpoint-postgres"
"libs/checkpoint-postgres",
]
uses: ./.github/workflows/_test.yml
with:
@@ -76,7 +75,7 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
python-version: "3.11"
- name: Run check_sdk_methods script
run: python .github/scripts/check_sdk_methods.py
@@ -133,7 +132,16 @@ jobs:
ci_success:
name: "CI Success"
needs: [lint, lint-js, test, test-langgraph, test-scheduler-kafka, integration-test, test-js]
needs:
[
lint,
lint-js,
test,
test-langgraph,
test-scheduler-kafka,
integration-test,
test-js,
]
if: |
always()
runs-on: ubuntu-latest
+1 -1
View File
@@ -21,7 +21,7 @@
- name: Install Dependencies
run: |
pip install toml codespell jupytext
pip install toml codespell==2.3.0 jupytext
- name: Extract Ignore Words List
run: |
+2
View File
@@ -86,6 +86,7 @@ jobs:
echo "Running link check on all HTML files matching notebooks in docs directory..."
poetry run pytest -v \
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://academy\.langchain\.com/.*" \
--check-links-ignore "https://x.com/.*" \
--check-links-ignore "https://github\.com/.*" \
--check-links-ignore "http://localhost:8123/.*" \
@@ -107,6 +108,7 @@ jobs:
echo "Running link check on HTML files matching changed notebook files..."
poetry run pytest -v \
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://academy\.langchain\.com/.*" \
--check-links-ignore "http://localhost:8123/.*" \
--check-links-ignore "http://localhost:2024.*" \
--check-links-ignore "http://127.0.0.1:.*" \
+175 -82
View File
@@ -12,25 +12,48 @@
## Overview
[LangGraph](https://langchain-ai.github.io/langgraph/) is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application, crucial for creating reliable agents. Additionally, LangGraph includes built-in persistence, enabling advanced human-in-the-loop and memory features.
[LangGraph](https://langchain-ai.github.io/langgraph/) is a library for building
stateful, multi-actor applications with LLMs, used to create agent and multi-agent
workflows. Check out an introductory tutorial [here](https://langchain-ai.github.io/langgraph/tutorials/introduction/).
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger),
### Why use LangGraph?
To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available for free [here](https://academy.langchain.com/courses/intro-to-langgraph).
LangGraph provides fine-grained control over both the flow and state of your
agent applications. It implements a central
[persistence layer](https://langchain-ai.github.io/langgraph/concepts/persistence/),
enabling features that are common to most agent architectures:
### Key Features
- **Memory**: LangGraph persists arbitrary aspects of your application's state,
supporting memory of conversations and other updates within and across user
interactions;
- **Human-in-the-loop**: Because state is checkpointed, execution can be interrupted
and resumed, allowing for decisions, validation, and corrections at key stages via
human input.
- **Cycles and Branching**: Implement loops and conditionals in your apps.
- **Persistence**: Automatically save state after each step in the graph. Pause and resume the graph execution at any point to support error recovery, human-in-the-loop workflows, time travel and more.
- **Human-in-the-Loop**: Interrupt graph execution to approve or edit next action planned by the agent.
- **Streaming Support**: Stream outputs as they are produced by each node (including token streaming).
- **Integration with LangChain**: LangGraph integrates seamlessly with [LangChain](https://github.com/langchain-ai/langchain/) and [LangSmith](https://docs.smith.langchain.com/) (but does not require them).
Standardizing these components allows individuals and teams to focus on the behavior
of their agent, instead of its supporting infrastructure.
Through [LangGraph Platform](#langgraph-platform), LangGraph also provides tooling for
the development, deployment, debugging, and monitoring of your applications.
LangGraph integrates seamlessly with
[LangChain](https://python.langchain.com/docs/introduction/) and
[LangSmith](https://docs.smith.langchain.com/) (but does not require them).
To learn more about LangGraph, check out our first LangChain Academy
course, *Introduction to LangGraph*, available for free
[here](https://academy.langchain.com/courses/intro-to-langgraph).
### LangGraph Platform
LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework.
[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), and [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger).
See deployment options [here](https://langchain-ai.github.io/langgraph/concepts/deployment_options/)
(includes a free tier).
Here are some common issues that arise in complex deployments, which LangGraph Platform addresses:
- **Streaming support**: LangGraph Server provides [multiple streaming modes](https://langchain-ai.github.io/langgraph/concepts/streaming) optimized for various application needs
@@ -47,9 +70,7 @@ pip install -U langgraph
## Example
One of the central concepts of LangGraph is state. Each graph execution creates a state that is passed between nodes in the graph as they execute, and each node updates this internal state with its return value after it executes. The way that the graph updates its internal state is defined by either the type of graph chosen or a custom function.
Let's take a look at a simple example of an agent that can use a search tool.
Let's build a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent that uses a search tool!
```shell
pip install langchain-anthropic
@@ -66,10 +87,72 @@ export LANGSMITH_TRACING=true
export LANGSMITH_API_KEY=lsv2_sk_...
```
```python
from typing import Annotated, Literal, TypedDict
The simplest way to create a tool-calling agent in LangGraph is to use `create_react_agent`:
<details open>
<summary>High-level implementation</summary>
```python
from langgraph.prebuilt import create_react_agent
from langgraph.checkpoint.memory import MemorySaver
from langchain_anthropic import ChatAnthropic
from langchain_core.tools import tool
# Define the tools for the agent to use
@tool
def search(query: str):
"""Call to surf the web."""
# This is a placeholder, but don't tell the LLM that...
if "sf" in query.lower() or "san francisco" in query.lower():
return "It's 60 degrees and foggy."
return "It's 90 degrees and sunny."
tools = [search]
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
# Initialize memory to persist state between graph runs
checkpointer = MemorySaver()
app = create_react_agent(model, tools, checkpointer=checkpointer)
# Use the agent
final_state = app.invoke(
{"messages": [{"role": "user", "content": "what is the weather in sf"}]},
config={"configurable": {"thread_id": 42}}
)
final_state["messages"][-1].content
```
```
"Based on the search results, I can tell you that the current weather in San Francisco is:\n\nTemperature: 60 degrees Fahrenheit\nConditions: Foggy\n\nSan Francisco is known for its microclimates and frequent fog, especially during the summer months. The temperature of 60°F (about 15.5°C) is quite typical for the city, which tends to have mild temperatures year-round. The fog, often referred to as "Karl the Fog" by locals, is a characteristic feature of San Francisco\'s weather, particularly in the mornings and evenings.\n\nIs there anything else you\'d like to know about the weather in San Francisco or any other location?"
```
Now when we pass the same <code>"thread_id"</code>, the conversation context is retained via the saved state (i.e. stored list of messages)
```python
final_state = app.invoke(
{"messages": [{"role": "user", "content": "what about ny"}]},
config={"configurable": {"thread_id": 42}}
)
final_state["messages"][-1].content
```
```
"Based on the search results, I can tell you that the current weather in New York City is:\n\nTemperature: 90 degrees Fahrenheit (approximately 32.2 degrees Celsius)\nConditions: Sunny\n\nThis weather is quite different from what we just saw in San Francisco. New York is experiencing much warmer temperatures right now. Here are a few points to note:\n\n1. The temperature of 90°F is quite hot, typical of summer weather in New York City.\n2. The sunny conditions suggest clear skies, which is great for outdoor activities but also means it might feel even hotter due to direct sunlight.\n3. This kind of weather in New York often comes with high humidity, which can make it feel even warmer than the actual temperature suggests.\n\nIt's interesting to see the stark contrast between San Francisco's mild, foggy weather and New York's hot, sunny conditions. This difference illustrates how varied weather can be across different parts of the United States, even on the same day.\n\nIs there anything else you'd like to know about the weather in New York or any other location?"
```
</details>
> [!TIP]
> LangGraph is a **low-level** framework that allows you to implement any custom agent
architectures. Click on the low-level implementation below to see how to implement a
tool-calling agent from scratch.
<details>
<summary>Low-level implementation</summary>
```python
from typing import Literal
from langchain_core.messages import HumanMessage
from langchain_anthropic import ChatAnthropic
from langchain_core.tools import tool
from langgraph.checkpoint.memory import MemorySaver
@@ -91,7 +174,7 @@ tools = [search]
tool_node = ToolNode(tools)
model = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0).bind_tools(tools)
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0).bind_tools(tools)
# Define the function that determines whether to continue or not
def should_continue(state: MessagesState) -> Literal["tools", END]:
@@ -145,92 +228,102 @@ checkpointer = MemorySaver()
# Note that we're (optionally) passing the memory when compiling the graph
app = workflow.compile(checkpointer=checkpointer)
# Use the Runnable
# Use the agent
final_state = app.invoke(
{"messages": [HumanMessage(content="what is the weather in sf")]},
{"messages": [{"role": "user", "content": "what is the weather in sf"}]},
config={"configurable": {"thread_id": 42}}
)
final_state["messages"][-1].content
```
```
"Based on the search results, I can tell you that the current weather in San Francisco is:\n\nTemperature: 60 degrees Fahrenheit\nConditions: Foggy\n\nSan Francisco is known for its microclimates and frequent fog, especially during the summer months. The temperature of 60°F (about 15.5°C) is quite typical for the city, which tends to have mild temperatures year-round. The fog, often referred to as "Karl the Fog" by locals, is a characteristic feature of San Francisco\'s weather, particularly in the mornings and evenings.\n\nIs there anything else you\'d like to know about the weather in San Francisco or any other location?"
```
<b>Step-by-step Breakdown</b>:
Now when we pass the same `"thread_id"`, the conversation context is retained via the saved state (i.e. stored list of messages)
<details>
<summary>Initialize the model and tools.</summary>
<ul>
<li>
We use <code>ChatAnthropic</code> as our LLM. <strong>NOTE:</strong> we need to make sure the model knows that it has these tools available to call. We can do this by converting the LangChain tools into the format for OpenAI tool calling using the <code>.bind_tools()</code> method.
</li>
<li>
We define the tools we want to use - a search tool in our case. It is really easy to create your own tools - see documentation here on how to do that <a href="https://python.langchain.com/docs/modules/agents/tools/custom_tools">here</a>.
</li>
</ul>
</details>
```python
final_state = app.invoke(
{"messages": [HumanMessage(content="what about ny")]},
config={"configurable": {"thread_id": 42}}
)
final_state["messages"][-1].content
```
<details>
<summary>Initialize graph with state.</summary>
```
"Based on the search results, I can tell you that the current weather in New York City is:\n\nTemperature: 90 degrees Fahrenheit (approximately 32.2 degrees Celsius)\nConditions: Sunny\n\nThis weather is quite different from what we just saw in San Francisco. New York is experiencing much warmer temperatures right now. Here are a few points to note:\n\n1. The temperature of 90°F is quite hot, typical of summer weather in New York City.\n2. The sunny conditions suggest clear skies, which is great for outdoor activities but also means it might feel even hotter due to direct sunlight.\n3. This kind of weather in New York often comes with high humidity, which can make it feel even warmer than the actual temperature suggests.\n\nIt's interesting to see the stark contrast between San Francisco's mild, foggy weather and New York's hot, sunny conditions. This difference illustrates how varied weather can be across different parts of the United States, even on the same day.\n\nIs there anything else you'd like to know about the weather in New York or any other location?"
```
<ul>
<li>We initialize graph (<code>StateGraph</code>) by passing state schema (in our case <code>MessagesState</code>)</li>
<li><code>MessagesState</code> is a prebuilt state schema that has one attribute -- a list of LangChain <code>Message</code> objects, as well as logic for merging the updates from each node into the state.</li>
</ul>
</details>
### Step-by-step Breakdown
<details>
<summary>Define graph nodes.</summary>
1. <details>
<summary>Initialize the model and tools.</summary>
There are two main nodes we need:
- we use `ChatAnthropic` as our LLM. **NOTE:** we need make sure the model knows that it has these tools available to call. We can do this by converting the LangChain tools into the format for OpenAI tool calling using the `.bind_tools()` method.
- we define the tools we want to use - a search tool in our case. It is really easy to create your own tools - see documentation here on how to do that [here](https://python.langchain.com/docs/modules/agents/tools/custom_tools).
</details>
<ul>
<li>The <code>agent</code> node: responsible for deciding what (if any) actions to take.</li>
<li>The <code>tools</code> node that invokes tools: if the agent decides to take an action, this node will then execute that action.</li>
</ul>
</details>
2. <details>
<summary>Initialize graph with state.</summary>
<details>
<summary>Define entry point and graph edges.</summary>
- we initialize graph (`StateGraph`) by passing state schema (in our case `MessagesState`)
- `MessagesState` is a prebuilt state schema that has one attribute -- a list of LangChain `Message` objects, as well as logic for merging the updates from each node into the state
</details>
First, we need to set the entry point for graph execution - <code>agent</code> node.
3. <details>
<summary>Define graph nodes.</summary>
Then we define one normal and one conditional edge. Conditional edge means that the destination depends on the contents of the graph's state (<code>MessagesState</code>). In our case, the destination is not known until the agent (LLM) decides.
There are two main nodes we need:
<ul>
<li>Conditional edge: after the agent is called, we should either:
<ul>
<li>a. Run tools if the agent said to take an action, OR</li>
<li>b. Finish (respond to the user) if the agent did not ask to run tools</li>
</ul>
</li>
<li>Normal edge: after the tools are invoked, the graph should always return to the agent to decide what to do next</li>
</ul>
</details>
- The `agent` node: responsible for deciding what (if any) actions to take.
- The `tools` node that invokes tools: if the agent decides to take an action, this node will then execute that action.
</details>
<details>
<summary>Compile the graph.</summary>
4. <details>
<summary>Define entry point and graph edges.</summary>
<ul>
<li>
When we compile the graph, we turn it into a LangChain
<a href="https://python.langchain.com/v0.2/docs/concepts/#runnable-interface">Runnable</a>,
which automatically enables calling <code>.invoke()</code>, <code>.stream()</code> and <code>.batch()</code>
with your inputs
</li>
<li>
We can also optionally pass checkpointer object for persisting state between graph runs, and enabling memory,
human-in-the-loop workflows, time travel and more. In our case we use <code>MemorySaver</code> -
a simple in-memory checkpointer
</li>
</ul>
</details>
First, we need to set the entry point for graph execution - `agent` node.
<details>
<summary>Execute the graph.</summary>
Then we define one normal and one conditional edge. Conditional edge means that the destination depends on the contents of the graph's state (`MessageState`). In our case, the destination is not known until the agent (LLM) decides.
- Conditional edge: after the agent is called, we should either:
- a. Run tools if the agent said to take an action, OR
- b. Finish (respond to the user) if the agent did not ask to run tools
- Normal edge: after the tools are invoked, the graph should always return to the agent to decide what to do next
</details>
5. <details>
<summary>Compile the graph.</summary>
- When we compile the graph, we turn it into a LangChain [Runnable](https://python.langchain.com/v0.2/docs/concepts/#runnable-interface), which automatically enables calling `.invoke()`, `.stream()` and `.batch()` with your inputs
- We can also optionally pass checkpointer object for persisting state between graph runs, and enabling memory, human-in-the-loop workflows, time travel and more. In our case we use `MemorySaver` - a simple in-memory checkpointer
</details>
6. <details>
<summary>Execute the graph.</summary>
1. LangGraph adds the input message to the internal state, then passes the state to the entrypoint node, `"agent"`.
2. The `"agent"` node executes, invoking the chat model.
3. The chat model returns an `AIMessage`. LangGraph adds this to the state.
4. Graph cycles the following steps until there are no more `tool_calls` on `AIMessage`:
- If `AIMessage` has `tool_calls`, `"tools"` node executes
- The `"agent"` node executes again and returns `AIMessage`
5. Execution progresses to the special `END` value and outputs the final state.
And as a result, we get a list of all our chat messages as output.
</details>
<ol>
<li>LangGraph adds the input message to the internal state, then passes the state to the entrypoint node, <code>"agent"</code>.</li>
<li>The <code>"agent"</code> node executes, invoking the chat model.</li>
<li>The chat model returns an <code>AIMessage</code>. LangGraph adds this to the state.</li>
<li>Graph cycles the following steps until there are no more <code>tool_calls</code> on <code>AIMessage</code>:
<ul>
<li>If <code>AIMessage</code> has <code>tool_calls</code>, <code>"tools"</code> node executes</li>
<li>The <code>"agent"</code> node executes again and returns <code>AIMessage</code></li>
</ul>
</li>
<li>Execution progresses to the special <code>END</code> value and outputs the final state. And as a result, we get a list of all our chat messages as output.</li>
</ol>
</details>
</details>
## Documentation
+2 -2
View File
@@ -31,7 +31,7 @@ def request(self, method, url, body=None, headers=None):
The result of calling the parent request method.
"""
# Update the inner socket's timeout value to send the request.
# This only triggers if the connection is re-used.
# This only triggers if the connection is reused.
if getattr(self, "sock", None) is not None:
self.sock.settimeout(self.timeout)
@@ -90,4 +90,4 @@ def patch_urllib3():
return request(self, *args, **kwargs)
connection.HTTPConnection.request = new_request
_PATCHED = True
_PATCHED = True
+19 -13
View File
@@ -42,10 +42,13 @@ NOTEBOOKS_NO_EXECUTION = [
"docs/docs/tutorials/storm/storm.ipynb", # issues only when running with VCR
"docs/docs/tutorials/lats/lats.ipynb", # issues only when running with VCR
"docs/docs/tutorials/rag/langgraph_crag.ipynb", # flakiness from tavily
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # Cannot create a consistent method resolution error from VCR
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # flakiness only when running in GHA
"docs/docs/tutorials/rag/langgraph_self_rag.ipynb", # flakiness only when running in GHA
"docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb", # flakiness only when running in GHA
"docs/docs/how-tos/map-reduce.ipynb", # flakiness from structured output, only when running with VCR
"docs/docs/tutorials/tot/tot.ipynb",
"docs/docs/how-tos/visualization.ipynb"
"docs/docs/how-tos/visualization.ipynb",
"docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb"
]
@@ -127,7 +130,18 @@ def add_vcr_to_notebook(
uses_langsmith = True
# Add import statement
vcr_import_lines = [
vcr_import_lines = []
if uses_langsmith:
vcr_import_lines.extend([
# patch urllib3 to handle vcr errors, see more here:
# https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
"import sys",
f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
"import _patch as patch_urllib3",
"patch_urllib3.patch_urllib3()",
])
vcr_import_lines.extend([
"import nest_asyncio",
"nest_asyncio.apply()",
"import vcr",
@@ -157,16 +171,8 @@ def add_vcr_to_notebook(
"",
"custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
"custom_vcr.serializer = 'advanced_compressed'",
]
if uses_langsmith:
vcr_import_lines.extend(
# patch urllib3 to handle vcr errors, see more here:
# https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
"import sys",
f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
"import _patch as patch_urllib3",
"patch_urllib3.patch_urllib3()",
)
])
import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
import_cell.pop("id", None)
notebook.cells.insert(0, import_cell)
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
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@@ -1 +0,0 @@
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@@ -0,0 +1 @@
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