docs: fix typos in some files

Merge https://github.com/google/adk-python/pull/3444

This PR fixes typos in the file file using codespell.

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3444 from khanhkhanhlele:Fix/typos/20251107165249 e9629a8c0255ddc0764cb0df7f36ebe61bd6515e
PiperOrigin-RevId: 829516217

contributing/samples/adk_documentation/adk_docs_updater/agent.py

@@ -107,7 +107,7 @@ root_agent = Agent(
       - **Avoid trivial code sample changes:** Update code samples only when adding or modifying functionality. Do not reformat code samples, change variable names, or change code syntax unless you are specifically directed to make those updates.
 
       # 5. Output
-      Present the followings in an easy to read format as the final output to the user.
+      Present the following in an easy to read format as the final output to the user.
       - The actions you took and the reasoning
       - The summary of the pull request created
     """,

contributing/samples/adk_documentation/adk_release_analyzer/agent.py

@@ -122,7 +122,7 @@ root_agent = Agent(
         - If a change in the codebase can be covered by the auto-generated API reference docs, you should just recommend to update the API reference docs (i.e. regenerate the API reference docs) instead of the other human-written ADK docs.
 
       # 5. Output
-      Present the followings in an easy to read format as the final output to the user.
+      Present the following in an easy to read format as the final output to the user.
       - The actions you took and the reasoning
       - The summary of the differences found
     """,

contributing/samples/adk_pr_triaging_agent/agent.py

@@ -287,7 +287,7 @@ root_agent = Agent(
         - If it's following the guidelines, recommend or add a label to the PR.
 
       # 5. Output
-      Present the followings in an easy to read format highlighting PR number and your label.
+      Present the following in an easy to read format highlighting PR number and your label.
       - The PR summary in a few sentence
       - The label you recommended or added with the justification
       - The comment you recommended or added to the PR with the justification

contributing/samples/adk_triaging_agent/agent.py

@@ -231,7 +231,7 @@ root_agent = Agent(
       - Mention the assigned owner when a label maps to one.
       - If no label is applied, clearly state why.
 
-      Present the followings in an easy to read format highlighting issue number and your label.
+      Present the following in an easy to read format highlighting issue number and your label.
       - the issue summary in a few sentence
       - your label recommendation and justification
       - the owner of the label if you assign the issue to an owner

contributing/samples/authn-adk-all-in-one/hotel_booker_app/main.py

@@ -120,7 +120,7 @@ def is_token_valid(token: str):
     # Also you could have verify_aud and verify_iss as False
     # But when they are true issuer and audience are needed in the jwt.decode call
     # they are checked against the values from the token
-    # idealy token validation should also check whether the API being called is part of
+    # ideally token validation should also check whether the API being called is part of
     # audience so for example localhost:8081/api should cover localhost:8081/api/hotels
     # but should not cover localhost:8000/admin
     # so this middleware (decorator - is_token_valid, can check the request url and do that check, but we are

contributing/samples/gepa/voter_agent/gepa.ipynb

@@ -151,7 +151,7 @@
       "source": [
         "# Define our Vote Taker Agent\n",
         "\n",
-        "This agent is an ADK `LLMAgent` using a Gemini inference end-point. It can interact with tools to answer a user's request over multiple turns. We provide this agent with an initial set of intructions.\n",
+        "This agent is an ADK `LLMAgent` using a Gemini inference end-point. It can interact with tools to answer a user's request over multiple turns. We provide this agent with an initial set of instructions.\n",
         "\n",
         "This agent collects and validates audience votes. In particular it:\n",
         "1. Receives votes via REST API\n",
@@ -413,7 +413,7 @@
         }
       ],
       "source": [
-        "#@title  Define our voting agent and vizualize a trace\n",
+        "#@title  Define our voting agent and visualize a trace\n",
         "\n",
         "import asyncio\n",
         "import nest_asyncio\n",
@@ -525,7 +525,7 @@
         "\n",
         "Let's evaluate our agent. Presence and exclusion of PII can be identified with a rubric-based autorater. In this colab we will use the following PII filtering rubric that fits our use-case well. In particular it measures:\n",
         "- the exclusion of PII\n",
-        "- sucessfully registering votes\n",
+        "- successfully registering votes\n",
         "\n",
         "We will use the following rubric and auto-rater to evaluate our agent and update our agent instructions with GEPA."
       ]
@@ -1015,7 +1015,7 @@
         "class AgentFactory(Protocol):\n",
         "\n",
         "  def __call__(instructions: str) -> base_agent.BaseAgent:\n",
-        "    \"\"\"Initialzes an ADK agent from provided instructions.\"\"\"\n",
+        "    \"\"\"Initializes an ADK agent from provided instructions.\"\"\"\n",
         "    ...\n",
         "\n",
         "\n",