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Updating INITIAL.md for Pydantic AI use case

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Cole Medin 2025-07-20 19:55:18 -05:00
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use-cases/pydantic-ai/PRPs/INITIAL.md
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## FEATURE: ## FEATURE:
Build a simple customer support chatbot using PydanticAI that can answer basic questions and escalate complex issues to human agents. [REPLACE EVERYTHING IN BRACKETS WITH YOUR OWN CONTEXT]
[Provide an overview of the agent you want to build. The more detail the better!]
[Overly simple example: Build a simple research agent using Pydantic AI that can research topics with the Brave API and draft emails with Gmail to share insights.]
## TOOLS:
[Describe the tools you want for your agent(s) - functionality, arguments, what they return, etc. Be as specific as you like - the more specific the better.]
## DEPENDENCIES
[Describe the dependencies needed for the agent tools (for the Pydantic AI RunContext) - things like API keys, DB connections, an HTTP client, etc.]
## SYSTEM PROMPT(S)
[Describe the instructions for the agent(s) here - you can create the entire system prompt here or give a general description to guide the coding assistant]
## EXAMPLES: ## EXAMPLES:
- Basic chat agent with conversation memory [Add any additional example agents/tool implementations from past projects or online resources to the examples/ folder and reference them here.]
- Tool-enabled agent with web search capabilities [The template contains the following already for Pydantic AI:]
- Structured output agent for data validation
- Testing examples with TestModel and FunctionModel - examples/basic_chat_agent - Basic chat agent with conversation memory
- examples/tool_enabled_agent - Tool-enabled agent with web search capabilities
- examples/structured_output_agent - Structured output agent for data validation
- examples/testing_examples - Testing examples with TestModel and FunctionModel
- examples/main_agent_reference - Best practices for building Pydantic AI agents
## DOCUMENTATION: ## DOCUMENTATION:
[Add any additional documentation you want it to reference - this can be curated docs you put in PRPs/ai_docs, URLs, etc.]
- Pydantic AI Official Documentation: https://ai.pydantic.dev/ - Pydantic AI Official Documentation: https://ai.pydantic.dev/
- Agent Creation Guide: https://ai.pydantic.dev/agents/ - Agent Creation Guide: https://ai.pydantic.dev/agents/
- Tool Integration: https://ai.pydantic.dev/tools/ - Tool Integration: https://ai.pydantic.dev/tools/
@ -23,3 +43,5 @@ Build a simple customer support chatbot using PydanticAI that can answer basic q
- Keep agents simple - default to string output unless structured output is specifically needed - Keep agents simple - default to string output unless structured output is specifically needed
- Follow the main_agent_reference patterns for configuration and providers - Follow the main_agent_reference patterns for configuration and providers
- Always include comprehensive testing with TestModel for development - Always include comprehensive testing with TestModel for development
[Add any additional considerations for the coding assistant, especially "gotchas" you want it to keep in mind.]