WEBDIENSTE/langgraph
1
0
Fork 0
mirror of https://github.com/langchain-ai/langgraph.git synced 2026-09-05 09:17:47 +02:00
Code Issues Packages Projects Releases Wiki Activity

docs: update graph state in readme (#835)

Browse Source
This commit is contained in:
Vadym Barda
2024-06-26 13:43:14 -04:00
committed by GitHub
parent 6caea79fba
commit 000a5c5b83
2 changed files with 6 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+2 -2
View File
@@ -72,7 +72,7 @@ tool_node = ToolNode(tools)
model = ChatOpenAI(temperature=0).bind_tools(tools)
# Define the function that determines whether to continue or not
def should_continue(state: AgentState) -> Literal["tools", END]:
def should_continue(state: MessagesState) -> Literal["tools", END]:
messages = state['messages']
last_message = messages[-1]
# If the LLM makes a tool call, then we route to the "tools" node
@@ -83,7 +83,7 @@ def should_continue(state: AgentState) -> Literal["tools", END]:
# Define the function that calls the model
def call_model(state: AgentState):
def call_model(state: MessagesState):
messages = state['messages']
response = model.invoke(messages)
# We return a list, because this will get added to the existing list
libs/langgraph/README.md
+4 -3
View File
@@ -72,7 +72,7 @@ tool_node = ToolNode(tools)
model = ChatOpenAI(temperature=0).bind_tools(tools)
# Define the function that determines whether to continue or not
def should_continue(state: AgentState) -> Literal["tools", END]:
def should_continue(state: MessagesState) -> Literal["tools", END]:
messages = state['messages']
last_message = messages[-1]
# If the LLM makes a tool call, then we route to the "tools" node
@@ -83,7 +83,7 @@ def should_continue(state: AgentState) -> Literal["tools", END]:
# Define the function that calls the model
def call_model(state: AgentState):
def call_model(state: MessagesState):
messages = state['messages']
response = model.invoke(messages)
# We return a list, because this will get added to the existing list
@@ -215,4 +215,5 @@ final_state["messages"][-1].content
* [Tutorials](https://langchain-ai.github.io/langgraph/tutorials/): Learn to build with LangGraph through guided examples.
* [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet.
* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more.
* [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
* [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
* [Cloud (alpha)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud.