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10 Commits
Author SHA1 Message Date
Sydney RunkleandGitHub 228a08b966 ci: migrate to uv! (#4698) 
* 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
 2025-05-15 17:39:14 -07:00
Nuno CamposandGitHub 909a4591a8 Port checkpointer/store fixtures in langgraph-prebuilt to idiomatic pattern (#4629) 2025-05-09 19:42:44 +00:00
Vadym BardaandGitHub 0e61cc2cf6 prebuilt: remove state_modifier (#4439) 
Removes support for `state_modifier` param in `create_react_agent`. To
specify system prompt / instructions use `prompt` parameter.
 2025-05-05 09:49:28 -04:00
vbarda 4b7ec256e9 prebuilt: switch to executing parallel tool calls via Send by default 2025-04-28 11:07:27 -04:00
Sydney Runkle 9e89b68596 fixing prebuilt tests 2025-04-22 17:24:54 -07:00
Vadym BardaandGitHub 67e8f8fc11 prebuilt: add optional pre-model hook that runs before calling LLM in create_react_agent (#4059) 
Example:

```python
from typing import Any
from langchain_openai import ChatOpenAI
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.messages import AnyMessage
from langchain_core.messages.utils import count_tokens_approximately

from langgraph.graph import MessagesState
from langgraph.prebuilt.chat_agent_executor import create_react_agent, AgentState
from langgraph.checkpoint.memory import InMemorySaver

from langmem.short_term import SummarizationNode, RunningSummary


class State(MessagesState):
    context: dict[str, Any]

search = TavilySearchResults(max_results=3)
tools = [search]

model = ChatOpenAI(model="gpt-4o")
summarization_model = model.bind(max_tokens=256)

summarization_node = SummarizationNode(
    token_counter=count_tokens_approximately,
    model=summarization_model,
    max_tokens=2048,
    max_summary_tokens=256,
    output_messages_key="messages"
    # output_messages_key="llm_input_messages"
)

checkpointer = InMemorySaver()


class State(AgentState):
    user_language: str

    # summarization-related keys
    context: dict[str, Any]


def prompt(state):
    language = state["user_language"]
    system_msg = f"Always respond in {language}"
    return [{"role": "system", "content": system_msg}] + state["messages"]


graph = create_react_agent(
    model,
    tools,
    prompt=prompt,
    pre_model_hook=summarization_node,
    state_schema=State,
    checkpointer=checkpointer
)
```
 2025-04-02 15:41:31 +00:00
Nuno Campos 49bb08a3f9 Update prebuilt test 2025-03-27 17:58:29 -07:00
Adrián PanellaGitHubvbarda
 		3183146141 prebuilt: allow pydantic model as state schema in create_react_agent (#3559) 
Inherited attributes where not considered.
Pydantic model can inherit from other pydantic models. In those cases,
inherited attributes where not considered in the check and the code
fails.

---------

Co-authored-by: vbarda <vadym@langchain.dev>
 2025-03-07 16:49:51 -05:00
Vadym BardaandGitHub e8dd682320 prebuilt: allow passing RunnableSequence as a model (#3706) 2025-03-06 02:37:55 +00:00
Vadym BardaandGitHub 24c13c211e langgraph: separate prebuilt into a standalone package (#3589) 2025-02-26 18:33:07 -05:00