feat(docs): replaces code blocks with GithubCodeSegment object

.github/spelling/known_words_corpus.txt

@@ -672,3 +672,9 @@ etc
 lifecycle
 screenshot
 docscode
+richtext
+bestmatches
+gnews
+newsrequest
+v20
+servicefordungeons

pages/guides/agent-courses/agents-for-ai.mdx

@@ -17,7 +17,7 @@ At any stage, if you encounter issues or have questions about specific terms or
 
  Current version of the AI Engine package is <PackageVersion packageName="uagents-ai-engine" packageType="pypi" />
  </Callout>
- 
+
 ## Quick overview of Fetch.ai
 
 Fetch.ai is developing a platform to help build an AI-enabled decentralized digital economy. Agents are
@@ -363,7 +363,6 @@ Let's take a look.
  class SummaryRequest(Model):
  url: str
 
-
  SEED_PHRASE = "<your_seed_phrase>"
  AGENT_MAILBOX_KEY = "<your_mailbox_key>"
  OPENAI_API_KEY = "<your_open_ai_key>"
@@ -379,7 +378,6 @@ Let's take a look.
  print(summaryAgent.address)
  print(OPENAI_API_KEY)
 
-
  @summary_protocol.on_message(model=SummaryRequest, replies={UAgentResponse})
  async def summarise(ctx: Context, sender: str, msg: SummaryRequest):
 
@@ -415,7 +413,6 @@ Let's take a look.
  UAgentResponse(message=(result["output_text"]), type=UAgentResponseType.FINAL),
  )
 
-
  summaryAgent.include(summary_protocol, publish_manifest=True)
  summaryAgent.run()
  ```

pages/guides/agent-courses/introductory-course.mdx

@@ -870,7 +870,7 @@ Let's then define the message handlers for the `query_proto` protocol:
  We define a protocol `query_proto` using the `Protocol` class of `uagents`. It is defined with a `name` and a `version`.
 
  The `handle_query_request()` function is the message handler function defined using the `on_message()` decorator. It handles the `QueryTableRequest` messages and replies with a `QueryTableResponse` message. The handler processes the table availability query based on the provided parameters, checks the table status stored in the agent's storage, and sends the available table numbers as a response to the querying agent.
- 
+
  Additionally, the handler tracks the total number of queries made and increments the count in storage. On the other hand, `handle_get_total_queries()` is the message handler function defined using the `on_query()` decorator. It handles the `GetTotalQueries` query and replies with a `TotalQueries` message containing the total number of queries made to the system. The handler retrieves the total query count from the agent's storage and responds with the count.
 
 The overall script should look as follows:
@@ -1220,7 +1220,6 @@ The overall script would be:
  if not completed:
  await ctx.send(RESTAURANT_ADDRESS, table_query)
 
-
  @user.on_message(QueryTableResponse, replies={BookTableRequest})
  async def handle_query_response(ctx: Context, sender: str, msg: QueryTableResponse):
  if len(msg.tables) > 0:
@@ -1236,7 +1235,6 @@ The overall script would be:
  ctx.logger.info("No free tables - nothing more to do")
  ctx.storage.set("completed", True)
 
-
  @user.on_message(BookTableResponse, replies=set())
  async def handle_book_response(ctx: Context, _sender: str, msg: BookTableResponse):
  if msg.success:
@@ -1246,7 +1244,6 @@ The overall script would be:
 
  ctx.storage.set("completed", True)
 
-
  if __name__ == "__main__":
  user.run()
  ```

pages/guides/agents/advanced/agents-async-loops.mdx

@@ -1,4 +1,4 @@
-import { CodeGroup, DocsCode } from "../../../../components/code";
+import { CodeGroup, CodeSegment, DocsCode, GithubCodeSegment } from "../../../../components/code";
 
 # Agent Asynchronous Loops
 
@@ -47,54 +47,71 @@ First of all, let's create a Python script:
 
 Now, paste the below code into it:
 
- ```py copy filename="external_loop_attach.py"
- import asyncio
- import contextlib
-
- from uagents import Agent, Bureau, Context
-
- loop = asyncio.get_event_loop()
-
-
- agent = Agent(
- name="looper",
- seed="<YOUR_SEED>",
- )
-
- bureau = Bureau(
- agents=[agent],
- )
-
-
- @agent.on_event("startup")
- async def startup(ctx: Context):
- ctx.logger.info(">>> Looper is starting up.")
-
-
- @agent.on_event("shutdown")
- async def shutdown(ctx: Context):
- ctx.logger.info(">>> Looper is shutting down.")
-
-
- async def coro():
- while True:
- print("doing hard work...")
- await asyncio.sleep(1)
-
-
- if __name__ == "__main__":
- print("Attaching the agent or bureau to the external loop...")
- loop.create_task(coro())
+<GithubCodeSegment digest="2f3f0744a953cd4ceff94963441a2f96">
+ <CodeSegment
+ path="https://github.com/fetchai/uAgent-Examples/blob/main/5-documentation/guides/agents/advanced/agents-async-loops/external_loop_attach.py"
+ lineStart={1}
+ lineEnd={45}
+ hosted={true}
+ />
+</GithubCodeSegment>
+<CodeGroup dynamic hasCopy isLocalHostedFile digest='2f3f0744a953cd4ceff94963441a2f96'>
+
+<DocsCode local={true}>
+ ```py copy filename="external_loop_attach.py"
+
+ import asyncio
+ import contextlib
+
+ from uagents import Agent, Bureau, Context
+
+ loop = asyncio.get_event_loop()
+
+ agent = Agent(
+ name="looper",
+ seed="<YOUR_SEED>",
+ )
+
+ bureau = Bureau(
+ agents=[agent],
+ )
+
+
+ @agent.on_event("startup")
+ async def startup(ctx: Context):
+ ctx.logger.info(">>> Looper is starting up.")
+
+
+ @agent.on_event("shutdown")
+ async def shutdown(ctx: Context):
+ ctx.logger.info(">>> Looper is shutting down.")
+
+
+ async def coro():
+ while True:
+ print("doing hard work...")
+ await asyncio.sleep(1)
+
+
+ if __name__ == "__main__":
+ print("Attaching the agent or bureau to the external loop...")
+ loop.create_task(coro())
+
+ # > when attaching the agent to the external loop
+ loop.create_task(agent.run_async())
+
+ # > when attaching a bureau to the external loop
+ # loop.create_task(bureau.run_async())
+
+ with contextlib.suppress(KeyboardInterrupt):
+ loop.run_forever()
+
+```
+</DocsCode>
 
- # > when attaching the agent to the external loop
- loop.create_task(agent.run_async())
+</CodeGroup>
 
- # > when attaching a bureau to the external loop
- # loop.create_task(bureau.run_async())
 
- with contextlib.suppress(KeyboardInterrupt):
- loop.run_forever()
- ```
 
  This script is for an agent using an external event loop. We first import the required libraries for this script to be run correctly. We then proceed and instantiate an agent called `looper` using a `seed`. Remember that you need to provide a seed within the `<YOUR_SEED>` field parameter. We then need to create a `bureau` to manage the agents. We can now add the `looper` agent into the `bureau`.
 
@@ -136,47 +153,69 @@ Let's start by creating a Python script:
 
 Then, let's paste the below code into it:
 
- ```py copy filename="external_loop_run.py"
- import asyncio
-
- from uagents import Agent, Bureau, Context
-
- loop = asyncio.get_event_loop()
-
- agent = Agent(
- name="looper",
- seed="<YOUR_SEED>",
- loop=loop,
- )
-
- bureau = Bureau(
- agents=[agent],
- loop=loop,
- )
-
- @agent.on_event("startup")
- async def startup(ctx: Context):
- ctx.logger.info(">>> Looper is starting up.")
-
- @agent.on_event("shutdown")
- async def shutdown(ctx: Context):
- ctx.logger.info(">>> Looper is shutting down.")
-
- async def coro():
- while True:
- print("doing hard work...")
- await asyncio.sleep(1)
+<GithubCodeSegment digest="aa7c205c69e65b45336f9edc21defdab">
+ <CodeSegment
+ path="https://github.com/fetchai/uAgent-Examples/blob/main/5-documentation/guides/agents/advanced/agents-async-loops/external_loop_run.py"
+ lineStart={1}
+ lineEnd={43}
+ hosted={true}
+ />
+</GithubCodeSegment>
+<CodeGroup dynamic hasCopy isLocalHostedFile digest='aa7c205c69e65b45336f9edc21defdab'>
+
+<DocsCode local={true}>
+ ```py copy filename="external_loop_run.py"
+
+ import asyncio
+
+ from uagents import Agent, Bureau, Context
+
+ loop = asyncio.get_event_loop()
+
+ agent = Agent(
+ name="looper",
+ seed="<YOUR_SEED>",
+ loop=loop,
+ )
+
+ bureau = Bureau(
+ agents=[agent],
+ loop=loop,
+ )
+
+
+ @agent.on_event("startup")
+ async def startup(ctx: Context):
+ ctx.logger.info(">>> Looper is starting up.")
+
+
+ @agent.on_event("shutdown")
+ async def shutdown(ctx: Context):
+ ctx.logger.info(">>> Looper is shutting down.")
+
+
+ async def coro():
+ while True:
+ print("doing hard work...")
+ await asyncio.sleep(1)
+
+
+ if __name__ == "__main__":
+ print("Starting the external loop from the agent or bureau...")
+ loop.create_task(coro())
+
+ # > when starting the external loop from the agent
+ agent.run()
+
+ # > when starting the external loop from the bureau
+ # bureau.run()
+
+```
+</DocsCode>
 
- if __name__ == "__main__":
- print("Starting the external loop from the agent or bureau...")
- loop.create_task(coro())
+</CodeGroup>
 
- # > when starting the external loop from the agent
- agent.run()
 
- # > when starting the external loop from the bureau
- # bureau.run()
- ```
 
  We start by importing the required libraries to correctly run this script. We then create an asynchronous event loop using `asyncio.get_event_loop()`. This loop is used to handle all asynchronous operations, such as the agent's actions and background tasks.
 

pages/guides/agents/advanced/dialogues.mdx

@@ -76,7 +76,7 @@ class ChitChatDialogue(Dialogue):
  nodes=[ node1, node2, node3],
  edges=[ init_session, start_dialogue, cont_dialogue, end_session],
  )
- 
+
  def on_continue_dialogue(self):
  return super()._on_state_transition(
  cont_dialogue.name,