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Demonstrates creating a functional agent with typed IoConfig inputs/outputs
and tool references in instructions using {{}} placeholders (v2 feature,
shown here for illustration).
Note: {{}} template validation is a v2 feature. In v1, instructions are
plain strings and {{}} references are passed through as-is.
from vectorshift.agent import Agent, AgentType, IoConfig, LlmInfo
from vectorshift.agent.tool import ToolInput, ToolInputType
from vectorshift.agent.tools import ExaAiTool, GoogleSearchTool
# Create a tool instance directly
search = GoogleSearchTool(
query=ToolInput(type=ToolInputType.DYNAMIC, description=None),
num_results=10,
)
exa_search = ExaAiTool(
tool_name="exa_ai_search",
query=ToolInput(type=ToolInputType.DYNAMIC, description="Search query"),
)
# Create a functional agent with typed inputs and outputs
agent = Agent.new(
name="Topic briefing",
type=AgentType.FUNCTIONAL,
llm_info=LlmInfo(provider="openai", model_id="gpt-4o"),
tools=[search],
instructions=(
"For the given topic, search the web if you need "
"fresh facts, then write a short brief."
),
inputs={
"topic": IoConfig(io_type="string", description="Subject to brief"),
},
outputs={
"brief": IoConfig(io_type="string", description="Markdown brief"),
},
)
print(f"Created functional agent: {agent.name} (id={agent.id})")
print(f" Inputs: {list(agent.inputs.keys())}")
print(f" Outputs: {list(agent.outputs.keys())}")
print(f" Tools: {[t.name for t in agent.tools]}")
print(f" Type: {agent.agent_type}")
# Clean up
agent.delete()
print("Deleted agent.")
Source: examples/agents/02_functional_agent_with_io.py in the SDK repo.
