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venv/Lib/site-packages/langgraph_prebuilt-1.0.8.dist-info/INSTALLER

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+pip

venv/Lib/site-packages/langgraph_prebuilt-1.0.8.dist-info/METADATA

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+Metadata-Version: 2.4
+Name: langgraph-prebuilt
+Version: 1.0.8
+Summary: Library with high-level APIs for creating and executing LangGraph agents and tools.
+Project-URL: Source, https://github.com/langchain-ai/langgraph/tree/main/libs/prebuilt
+Project-URL: Twitter, https://x.com/LangChain
+Project-URL: Slack, https://www.langchain.com/join-community
+Project-URL: Reddit, https://www.reddit.com/r/LangChain/
+License-Expression: MIT
+License-File: LICENSE
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Requires-Python: >=3.10
+Requires-Dist: langchain-core>=1.0.0
+Requires-Dist: langgraph-checkpoint<5.0.0,>=2.1.0
+Description-Content-Type: text/markdown
+
+# LangGraph Prebuilt
+
+This library defines high-level APIs for creating and executing LangGraph agents and tools.
+
+> [!IMPORTANT]
+> This library is meant to be bundled with `langgraph`, don't install it directly
+
+## Agents
+
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent) of a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent - `create_react_agent`:
+
+```bash
+pip install langchain-anthropic
+```
+
+```python
+from langchain_anthropic import ChatAnthropic
+from langgraph.prebuilt import create_react_agent
+
+# Define the tools for the agent to use
+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-3-7-sonnet-latest")
+
+app = create_react_agent(model, tools)
+# run the agent
+app.invoke(
+    {"messages": [{"role": "user", "content": "what is the weather in sf"}]},
+)
+```
+
+## Tools
+
+### ToolNode
+
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_node.ToolNode) of a node that executes tool calls - `ToolNode`:
+
+```python
+from langgraph.prebuilt import ToolNode
+from langchain_core.messages import AIMessage
+
+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."
+
+tool_node = ToolNode([search])
+tool_calls = [{"name": "search", "args": {"query": "what is the weather in sf"}, "id": "1"}]
+ai_message = AIMessage(content="", tool_calls=tool_calls)
+# execute tool call
+tool_node.invoke({"messages": [ai_message]})
+```
+
+### ValidationNode
+
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_validator.ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
+
+```python
+from pydantic import BaseModel, field_validator
+from langgraph.prebuilt import ValidationNode
+from langchain_core.messages import AIMessage
+
+
+class SelectNumber(BaseModel):
+    a: int
+
+    @field_validator("a")
+    def a_must_be_meaningful(cls, v):
+        if v != 37:
+            raise ValueError("Only 37 is allowed")
+        return v
+
+validation_node = ValidationNode([SelectNumber])
+validation_node.invoke({
+    "messages": [AIMessage("", tool_calls=[{"name": "SelectNumber", "args": {"a": 42}, "id": "1"}])]
+})
+```
+
+## Agent Inbox
+
+The library contains schemas for using the [Agent Inbox](https://github.com/langchain-ai/agent-inbox) with LangGraph agents. Learn more about how to use Agent Inbox [here](https://github.com/langchain-ai/agent-inbox#interrupts).
+
+```python
+from langgraph.types import interrupt
+from langgraph.prebuilt.interrupt import HumanInterrupt, HumanResponse
+
+def my_graph_function():
+    # Extract the last tool call from the `messages` field in the state
+    tool_call = state["messages"][-1].tool_calls[0]
+    # Create an interrupt
+    request: HumanInterrupt = {
+        "action_request": {
+            "action": tool_call['name'],
+            "args": tool_call['args']
+        },
+        "config": {
+            "allow_ignore": True,
+            "allow_respond": True,
+            "allow_edit": False,
+            "allow_accept": False
+        },
+        "description": _generate_email_markdown(state) # Generate a detailed markdown description.
+    }
+    # Send the interrupt request inside a list, and extract the first response
+    response = interrupt([request])[0]
+    if response['type'] == "response":
+        # Do something with the response
+    ...
+```

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venv/Lib/site-packages/langgraph_prebuilt-1.0.8.dist-info/WHEEL

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+Generator: hatchling 1.28.0
+Root-Is-Purelib: true
+Tag: py3-none-any

venv/Lib/site-packages/langgraph_prebuilt-1.0.8.dist-info/licenses/LICENSE

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+MIT License
+
+Copyright (c) 2024 LangChain, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.