mirror of
https://github.com/langchain-ai/docs.git
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npentrel
275 lines
7.8 KiB
Plaintext
275 lines
7.8 KiB
Plaintext
<CodeGroup>
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```python Google
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="google_genai:gemini-3.6-flash",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python OpenAI
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="openai:gpt-5.5",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python Anthropic
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="anthropic:claude-sonnet-4-6",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python OpenRouter
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="openrouter:z-ai/glm-5.2",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python Fireworks
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="fireworks:accounts/fireworks/models/glm-5p2",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python Baseten
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="baseten:zai-org/GLM-5.2",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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```python Ollama
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from langgraph.checkpoint.memory import MemorySaver
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@tool
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def remove_file(path: str) -> str:
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"""Delete a file from the filesystem."""
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return f"Deleted {path}"
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@tool
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def fetch_file(path: str) -> str:
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"""Read a file from the filesystem."""
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return f"Contents of {path}"
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@tool
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def notify_email(to: str, subject: str, body: str) -> str:
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"""Send an email."""
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return f"Sent email to {to}"
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# Checkpointer is REQUIRED for human-in-the-loop
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checkpointer = MemorySaver()
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agent = create_deep_agent(
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model="ollama:north-mini-code-1.0",
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tools=[remove_file, fetch_file, notify_email],
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interrupt_on={
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"remove_file": True, # Default: approve, edit, reject, respond
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"fetch_file": False, # No interrupts needed
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"notify_email": {"allowed_decisions": ["approve", "reject"]}, # No editing
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},
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checkpointer=checkpointer, # Required!
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)
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```
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</CodeGroup>
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