docs: enhance README with more documentation links and improve example

Author: Pierre

README.md

@@ -2,6 +2,7 @@
 
 [![PyPI version](https://img.shields.io/pypi/v/workflowai.svg)](https://pypi.org/project/workflowai/)
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python versions](https://img.shields.io/pypi/pyversions/workflowai.svg)](https://pypi.org/project/workflowai/)
 
 Official SDK from [WorkflowAI](https://workflowai.com) for Python.
 
@@ -13,30 +14,34 @@ This SDK is designed for Python teams who prefer code-first development. It prov
 
 ## Key Features
 
-- **Model-agnostic**: Works with all major AI models including OpenAI, Anthropic, Claude, Google/Gemini, Mistral, Deepseek, with a unified interface that makes switching between providers seamless.
+- **Model-agnostic**: Works with all major AI models including OpenAI, Anthropic, Claude, Google/Gemini, Mistral, Deepseek, with a unified interface that makes switching between providers seamless. [View all supported models](https://github.com/WorkflowAI/python-sdk/blob/main/workflowai/core/domain/model.py).
 
 - **Open-source and flexible deployment**: WorkflowAI is fully open-source with flexible deployment options. Run it self-hosted on your own infrastructure for maximum data control, or use the managed WorkflowAI Cloud service for hassle-free updates and automatic scaling.
 
 - **Observability integrated**: Built-in monitoring and logging capabilities that provide insights into your AI workflows, making debugging and optimization straightforward. Learn more about [observability features](https://docs.workflowai.com/concepts/runs).
 
-- **Cost tracking**: Automatically calculates and tracks the cost of each AI model run, providing transparency and helping you manage your AI budget effectively.
+- **Cost tracking**: Automatically calculates and tracks the cost of each AI model run, providing transparency and helping you manage your AI budget effectively. Learn more about [cost tracking](https://docs.workflowai.com/python-sdk/agent#cost-latency).
 
 - **Type-safe**: Leverages Python's type system to catch errors at development time rather than runtime, ensuring more reliable AI applications.
 
-- **Structured output**: Uses Pydantic models to validate and structure AI responses. WorkflowAI ensures your AI responses always match your defined structure, simplifying integrations, reducing parsing errors, and making your data reliable and ready for use.
+- **Structured output**: Uses Pydantic models to validate and structure AI responses. WorkflowAI ensures your AI responses always match your defined structure, simplifying integrations, reducing parsing errors, and making your data reliable and ready for use. Learn more about [structured input and output](https://docs.workflowai.com/python-sdk/agent#schema-input-output).
 
 - **Streaming supported**: Enables real-time streaming of AI responses for low latency applications, with immediate validation of partial outputs. Learn more about [streaming capabilities](https://docs.workflowai.com/python-sdk/agent#streaming).
 
 - **Provider fallback**: Automatically switches to alternative AI providers when the primary provider fails, ensuring high availability and reliability for your AI applications. This feature allows you to define fallback strategies that maintain service continuity even during provider outages or rate limiting.
 
 - **Built-in tools**: Comes with powerful built-in tools like web search and web browsing capabilities, allowing your agents to access real-time information from the internet. These tools enable your AI applications to retrieve up-to-date data, research topics, and interact with web content without requiring complex integrations. Learn more about [built-in tools](https://docs.workflowai.com/python-sdk/tools).
 
-- **Custom tools support**: Easily extend your agents' capabilities by creating custom tools tailored to your specific needs. Whether you need to query internal databases, call external APIs, or perform specialized calculations, WorkflowAI's tool framework makes it simple to augment your AI with domain-specific functionality.
+- **Custom tools support**: Easily extend your agents' capabilities by creating custom tools tailored to your specific needs. Whether you need to query internal databases, call external APIs, or perform specialized calculations, WorkflowAI's tool framework makes it simple to augment your AI with domain-specific functionality. Learn more about [custom tools](https://docs.workflowai.com/python-sdk/tools#defining-custom-tools).
 
 - **Integrated with WorkflowAI**: The SDK seamlessly syncs with the WorkflowAI web application, giving you access to a powerful playground where you can edit prompts and compare models side-by-side. This hybrid approach combines the flexibility of code-first development with the visual tools needed for effective prompt engineering and model evaluation.
 
 - **Multimodality support**: Build agents that can handle multiple modalities, such as images, PDFs, documents, and audio. Learn more about [multimodal capabilities](https://docs.workflowai.com/python-sdk/multimodality).
 
+- **Caching support**: To save money and improve latency, WorkflowAI supports caching. When enabled, identical requests return cached results instead of making new API calls to AI providers. Learn more about [caching capabilities](https://docs.workflowai.com/python-sdk/agent#cache).
+
+
+
 ## Get Started
 
 `workflowai` requires Python 3.9 or higher.
@@ -58,11 +63,13 @@ from pydantic import BaseModel, Field
 import workflowai
 from workflowai import Model
 
-
+# Input class
 class EmailInput(BaseModel):
     email_content: str
 
+# Output class
 class FlightInfo(BaseModel):
+    # Enum for standardizing flight status values
     class Status(str, Enum):
         """Possible statuses for a flight booking."""
         CONFIRMED = "Confirmed"
@@ -80,11 +87,13 @@ class FlightInfo(BaseModel):
     arrival: datetime
     status: Status
 
+# Agent definition
 @workflowai.agent(
     id="flight-info-extractor",
     model=Model.GEMINI_2_0_FLASH_LATEST,
 )
 async def extract_flight_info(email_input: EmailInput) -> FlightInfo:
+    # Agent prompt
     """
     Extract flight information from an email containing booking details.
     """
@@ -136,9 +145,13 @@ if __name__ == "__main__":
 ```
 > **Ready to run!** This example works straight out of the box - no tweaking needed.
 
-Agents built with `workflowai` SDK can be run in the [WorkflowAI web application](https://workflowai.com/_/agents/flight-info-extractor/runs/0195ee02-bdc3-72b6-0e0b-671f0b22b3dc) too.
+Agents built with `workflowai` SDK can be run in the [WorkflowAI web application](https://workflowai.com/docs/agents/flight-info-extractor/1?showDiffMode=false&show2ColumnLayout=false&taskRunId1=0195ee21-988e-7309-eb32-cd49a9b90f46&taskRunId2=0195ee21-9898-723a-0469-1458a180d3b0&taskRunId3=0195ee21-9892-72f1-ca2d-c29e18285073&versionId=fb7b29cd00031675d0c19e3d09852b27) too.
+
+[![WorkflowAI Playground](/examples/assets/web/playground-flight-info-extractor.png)](https://workflowai.com/docs/agents/flight-info-extractor/1?showDiffMode=false&show2ColumnLayout=false&taskRunId1=0195ee21-988e-7309-eb32-cd49a9b90f46&taskRunId2=0195ee21-9898-723a-0469-1458a180d3b0&taskRunId3=0195ee21-9892-72f1-ca2d-c29e18285073&versionId=fb7b29cd00031675d0c19e3d09852b27)
+
+And the runs executed via the SDK are synced with the web application.
 
-![WorkflowAI Playground](/examples/assets/web/playground-flight-info-extractor.png)
+[![WorkflowAI Runs](/examples/assets/web/runs-flight-info-extractor.png)](https://workflowai.com/docs/agents/flight-info-extractor/1/runs?page=0)
 
 ## Documentation