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npentrel
387 lines
12 KiB
Plaintext
387 lines
12 KiB
Plaintext
<CodeGroup>
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```python Google
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="google_genai:gemini-3.6-flash",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python OpenAI
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="openai:gpt-5.5",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python Anthropic
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="anthropic:claude-sonnet-4-6",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python OpenRouter
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="openrouter:z-ai/glm-5.2",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python Fireworks
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="fireworks:accounts/fireworks/models/glm-5p2",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python Baseten
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="baseten:zai-org/GLM-5.2",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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```python Ollama
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from deepagents import (
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create_deep_agent
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)
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agent = create_deep_agent(
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model="ollama:north-mini-code-1.0",
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system_prompt=(
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"You are a project coordinator with no research knowledge. "
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"For every user request, you must call the task() tool with "
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"subagent_type set to research-agent. Never answer research "
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"questions yourself."
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),
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subagents=[
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{
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"name": "research-agent",
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"description": (
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"Delegate research to this subagent. Give one topic at a time."
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),
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"system_prompt": (
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"You are a great researcher. Return a brief summary."
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),
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},
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],
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name="main-agent",
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)
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if __name__ == "__main__":
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stream = agent.stream_events(
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{
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"messages": [
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{
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"role": "user",
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"content": "Research one recent advance in quantum computing.",
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}
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]
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},
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version="v3",
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)
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coordinator_messages: list[str] = []
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subagent_handles = []
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for name, item in stream.interleave("messages", "subagents"):
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if name == "messages":
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print("[coordinator]", item.text)
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coordinator_messages.append(item.text)
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else:
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print(f"[{item.name}] started")
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subagent_handles.append(item)
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for message in item.messages:
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print(f"[{item.name}]", message.text)
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print(f"[{item.name}] status: {item.status}")
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```
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</CodeGroup>
|