System Prompt Usage

from augments.adk.prompts import SystemPrompt, SystemPromptTone
 
prompt = SystemPrompt(
    role="You are a senior Python code reviewer specializing in security.",
    context="You work at a fintech company. Code must comply with PCI-DSS.",
    guidelines=["Flag security vulnerabilities immediately", "Always suggest type hints"],
    tone=SystemPromptTone.TECHNICAL,
    constraints=["Never execute code", "Ask for full file if snippet is incomplete"],
    output_format="Use Markdown with headers for each finding.",
)
 
# Renders to a single string with ## headers for each section
print(prompt.generate())

DynamicSystemPrompt = Callable[[DynamicSystemPromptData], MaybeAwaitable[Union[str, SystemPrompt]]]

from augments.adk.prompts.system_prompt import DynamicSystemPromptData
from augments.adk.prompts import SystemPrompt
 
# Sync -- adapt prompt based on user context
def get_prompt(data: DynamicSystemPromptData) -> SystemPrompt:
    return SystemPrompt(
        role=f"You are {data.agent.name}.",
        context=data.context.context.get("tenant_guidelines", ""),
    )
 
# Async -- fetch context at runtime
async def get_prompt(data: DynamicSystemPromptData) -> SystemPrompt:
    guidelines = await fetch_guidelines(data.context.context["tenant_id"])
    return SystemPrompt(role=f"You are {data.agent.name}.", knowledge=guidelines)

from augments.adk.agents import Agent
from augments.adk.prompts import SystemPrompt
 
# Plain string
agent = Agent(name="Bot", system_prompt="You are helpful.")
 
# Structured prompt
agent = Agent(name="Bot", system_prompt=SystemPrompt(role="You are helpful."))
 
# Dynamic callable (receives DynamicSystemPromptData at resolution time)
def my_prompt(data):
    return SystemPrompt(role="You are helpful.", context=data.context.context.get("extra", ""))
 
agent = Agent(name="Bot", system_prompt=my_prompt)