docs: fix broken paths

Author: lpm0073

README.md

@@ -47,7 +47,7 @@ make run    # run the web app locally in your dev environment
 
 - **Function Calling**: OpenAI's most advanced integration feature to date. OpenAI API Function Calling is a feature that enables developers to integrate their own custom Python functions into the processing of chat responses. For example, when a chatbot powered by OpenAI's GPT-3 model is generating responses, it can call these custom Python functions to perform specific tasks or computations, and then include the results of these functions in its responses. This powerful feature can be used to create more dynamic and interactive chatbots that can perform tasks such as fetching real-time data, performing calculations, or interacting with other APIs or services. See the [Python source code](./api/terraform/python/openai_api/lambda_openai_function/) for additional documentation and examples, including, "[get_current_weather()](./api/terraform/python/openai_api/lambda_openai_function/function_weather.py)" from The official [OpenAI API documentation](https://platform.openai.com/docs/guides/function-calling/common-use-cases)
 
-- **Function Calling Plugins**: We created our own yaml-based "plugin" model. See this [example plugin](./api/terraform/python/openai_api/lambda_openai_function/config/example-configuration.yaml) and this [documentation](./api/terraform/python/openai_api/lambda_openai_function/README.md) for details, or try it out on this [live site](https://openai.lawrencemcdaniel.com/). Yaml templates can be stored locally or served from a secure AWS S3 bucket. You'll find set of fun example plugins [here](./api/terraform/python/openai_api/lambda_openai_function/config/).
+- **Function Calling Plugins**: We created our own yaml-based "plugin" model. See this [example plugin](./api/terraform/python/openai_api/lambda_openai_function/plugins/example-configuration.yaml) and this [documentation](./api/terraform/python/openai_api/lambda_openai_function/README.md) for details, or try it out on this [live site](https://openai.lawrencemcdaniel.com/). Yaml templates can be stored locally or served from a secure AWS S3 bucket. You'll find set of fun example plugins [here](./api/terraform/python/openai_api/lambda_openai_function/plugins/).
 
 ![Marv](https://cdn.lawrencemcdaniel.com/marv.gif)
 

api/terraform/python/openai_api/README.md

@@ -20,7 +20,7 @@ A general purpose handler for the OpenAI API via Langchain. This is the primary
 
 ## lambda_openai_function
 
-An adaptive ChatGPT interface that uses a combination of dynamic prompting and [Function Calling](https://platform.openai.com/docs/guides/function-calling) to create highly customized ChatGPT responses to user prompts. See these [example plugins](../openai_api/lambda_openai_function/config/) demonstrating some of the exciting things you can implement with this feature. This module leverages [Pydantic](https://docs.pydantic.dev/latest/) to validate the yaml plugin files that drive the behavior of this function.
+An adaptive ChatGPT interface that uses a combination of dynamic prompting and [Function Calling](https://platform.openai.com/docs/guides/function-calling) to create highly customized ChatGPT responses to user prompts. See these [example plugins](../openai_api/lambda_openai_function/plugins/) demonstrating some of the exciting things you can implement with this feature. This module leverages [Pydantic](https://docs.pydantic.dev/latest/) to validate the yaml plugin files that drive the behavior of this function.
 
 ## lambda_openai_v2
 

api/terraform/python/openai_api/lambda_openai_function/README.md

@@ -14,14 +14,14 @@ Fully implements the "[get_current_weather()](https://platform.openai.com/docs/g
 
 ## plugin.py
 
-This module demonstrates an alternative implementation of prompt behavior modification involving both Function Calling, plus, dynamic modifications to the system prompt. The module passes a customized configuration object to `function_calling_plugin()` based on a configurable set of search terms that it looks for in the user prompt. The function works with multiple customized configurations. That is, it maintains a list of plugins, and user prompts including search terms associated with multiple plugins will result in prompt configuration multiple "Function Calling" apis. The plugins are persisted both inside this repository in the [config](./config/) folder as well as via a remote AWS S3 bucket that Terraform creates and configures for you automatically. Custom configurations are data-driven via a standardized yaml format. Use [example-configuration.yaml](./config/example-configuration.yaml) as a template to create your own plugins. Storing these in the AWS S3 bucket is preferable to keeping these inside your repo.
+This module demonstrates an alternative implementation of prompt behavior modification involving both Function Calling, plus, dynamic modifications to the system prompt. The module passes a customized configuration object to `function_calling_plugin()` based on a configurable set of search terms that it looks for in the user prompt. The function works with multiple customized configurations. That is, it maintains a list of plugins, and user prompts including search terms associated with multiple plugins will result in prompt configuration multiple "Function Calling" apis. The plugins are persisted both inside this repository in the [config](./plugins/) folder as well as via a remote AWS S3 bucket that Terraform creates and configures for you automatically. Custom configurations are data-driven via a standardized yaml format. Use [example-configuration.yaml](./plugins/example-configuration.yaml) as a template to create your own plugins. Storing these in the AWS S3 bucket is preferable to keeping these inside your repo.
 
 ### Example plugins
 
 The following two sample plugins are included in this project:
 
-1. [Everlasting Gobstopper](./config/everlasting-gobstopper.yaml): An example of a consumer product, complete with pricing information and coupon codes.
-2. [Lawrence McDaniel](./config/lawrence-mcdaniel.yaml): Similar in functionality to a personal web site, this configuration demonstrates how you can get ChatGPT to showcase your professional profile, including your job and project history, your project portfolio, skill set and context-sensitive contact information.
+1. [Everlasting Gobstopper](./plugins/everlasting-gobstopper.yaml): An example of a consumer product, complete with pricing information and coupon codes.
+2. [Lawrence McDaniel](./plugins/lawrence-mcdaniel.yaml): Similar in functionality to a personal web site, this configuration demonstrates how you can get ChatGPT to showcase your professional profile, including your job and project history, your project portfolio, skill set and context-sensitive contact information.
 
 ### Custom Configuration Yaml format