chore: Fix spelling

.github/workflows/check-file-contents.yml

@@ -89,7 +89,7 @@ jobs:
       - name: Check for import from cli package in certain changed Python files
         run: |
           git fetch origin ${{ github.base_ref }}
-          CHANGED_FILES=$(git diff --diff-filter=ACMR --name-only origin/${{ github.base_ref }}...HEAD | grep -E '\.py$' | grep -v -E 'cli/.*|tests/.*|contributing/samples/' || true)
+          CHANGED_FILES=$(git diff --diff-filter=ACMR --name-only origin/${{ github.base_ref }}...HEAD | grep -E '\.py$' | grep -v -E 'cli/.*|src/google/adk/tools/apihub_tool/apihub_toolset.py|tests/.*|contributing/samples/' || true)
           if [ -n "$CHANGED_FILES" ]; then
             echo "Changed Python files to check:"
             echo "$CHANGED_FILES"

AGENTS.md

@@ -236,7 +236,7 @@ isort --check src/
 
 ### In ADK source
 
-Below styles applies to the ADK source code (under `src/` folder of the Github repo).
+Below styles applies to the ADK source code (under `src/` folder of the GitHub repo).
 
 #### Use relative imports (Required)
 

CHANGELOG.md

@@ -440,7 +440,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 
 ### Improvements
 
-* Add Github workflow config for the ADK Answering agent ([8dc0c94](https://github.com/google/adk-python/commit/8dc0c949afb9024738ff7ac1b2c19282175c3200))
+* Add GitHub workflow config for the ADK Answering agent ([8dc0c94](https://github.com/google/adk-python/commit/8dc0c949afb9024738ff7ac1b2c19282175c3200))
 * Import AGENT_CARD_WELL_KNOWN_PATH from adk instead of from a2a directly ([37dae9b](https://github.com/google/adk-python/commit/37dae9b631db5060770b66fce0e25cf0ffb56948))
 * Make `LlmRequest.LiveConnectConfig` field default to a factory ([74589a1](https://github.com/google/adk-python/commit/74589a1db7df65e319d1ad2f0676ee0cf5d6ec1d))
 * Update the prompt to make the ADK Answering Agent more objective ([2833030](https://github.com/google/adk-python/commit/283303032a174d51b8d72f14df83c794d66cb605))
@@ -499,14 +499,13 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 ### Features
 
 * [Core]Add agent card builder ([18f5bea](https://github.com/google/adk-python/commit/18f5bea411b3b76474ff31bfb2f62742825b45e5))
-* [Core]Add an to_a2a util to convert adk agent to A2A ASGI application ([a77d689](https://github.com/google/adk-python/commit/a77d68964a1c6b7659d6117d57fa59e43399e0c2))
+* [Core]Add a to_a2a util to convert adk agent to A2A ASGI application ([a77d689](https://github.com/google/adk-python/commit/a77d68964a1c6b7659d6117d57fa59e43399e0c2))
 * [Core]Add camel case converter for agents ([0e173d7](https://github.com/google/adk-python/commit/0e173d736334f8c6c171b3144ac6ee5b7125c846))
 * [Evals]Use LocalEvalService to run all evals in cli and web ([d1f182e](https://github.com/google/adk-python/commit/d1f182e8e68c4a5a4141592f3f6d2ceeada78887))
 * [Evals]Enable FinalResponseMatchV2 metric as an experiment ([36e45cd](https://github.com/google/adk-python/commit/36e45cdab3bbfb653eee3f9ed875b59bcd525ea1))
 * [Models]Add support for `model-optimizer-*` family of models in vertex ([ffe2bdb](https://github.com/google/adk-python/commit/ffe2bdbe4c2ea86cc7924eb36e8e3bb5528c0016))
 * [Services]Added a sample for History Management ([67284fc](https://github.com/google/adk-python/commit/67284fc46667b8c2946762bc9234a8453d48a43c))
-* [Services]Support passing fully qualified agent engine resource name when constructing session service and memory service ([2e77804](https://github.com/google/adk-python/commit/2e778049d0a675e458f4e
-35fe4104ca1298dbfcf))
+* [Services]Support passing fully qualified agent engine resource name when constructing session service and memory service ([2e77804](https://github.com/google/adk-python/commit/2e778049d0a675e458f4e35fe4104ca1298dbfcf))
 * [Tools]Add ComputerUseToolset ([083dcb4](https://github.com/google/adk-python/commit/083dcb44650eb0e6b70219ede731f2fa78ea7d28))
 * [Tools]Allow toolset to process llm_request before tools returned by it ([3643b4a](https://github.com/google/adk-python/commit/3643b4ae196fd9e38e52d5dc9d1cd43ea0733d36))
 * [Tools]Support input/output schema by fully-qualified code reference ([dfee06a](https://github.com/google/adk-python/commit/dfee06ac067ea909251d6fb016f8331065d430e9))
@@ -619,7 +618,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 
 ### Documentation
 
-* Update the a2a exmaple link in README.md [d0fdfb8](https://github.com/google/adk-python/commit/d0fdfb8c8e2e32801999c81de8d8ed0be3f88e76)
+* Update the a2a example link in README.md [d0fdfb8](https://github.com/google/adk-python/commit/d0fdfb8c8e2e32801999c81de8d8ed0be3f88e76)
 * Adds AGENTS.md to provide relevant project context for the Gemini CLI [37108be](https://github.com/google/adk-python/commit/37108be8557e011f321de76683835448213f8515)
 * Update CONTRIBUTING.md [ffa9b36](https://github.com/google/adk-python/commit/ffa9b361db615ae365ba62c09a8f4226fb761551)
 * Add adk project overview and architecture [28d0ea8](https://github.com/google/adk-python/commit/28d0ea876f2f8de952f1eccbc788e98e39f50cf5)
@@ -814,7 +813,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 * Fix typos in README for sample bigquery_agent and oauth_calendar_agent ([9bdd813](https://github.com/google/adk-python/commit/9bdd813be15935af5c5d2a6982a2391a640cab23))
 * Make tool_call one span for telemetry and renamed to execute_tool ([999a7fe](https://github.com/google/adk-python/commit/999a7fe69d511b1401b295d23ab3c2f40bccdc6f))
 * Use media type in chat window. Remove isArtifactImage and isArtifactAudio reference ([1452dac](https://github.com/google/adk-python/commit/1452dacfeb6b9970284e1ddeee6c4f3cb56781f8))
-* Set output_schema correctly for LiteLllm ([6157db7](https://github.com/google/adk-python/commit/6157db77f2fba4a44d075b51c83bff844027a147))
+* Set output_schema correctly for LiteLlm ([6157db7](https://github.com/google/adk-python/commit/6157db77f2fba4a44d075b51c83bff844027a147))
 * Update pending event dialog style ([1db601c](https://github.com/google/adk-python/commit/1db601c4bd90467b97a2f26fe9d90d665eb3c740))
 * Remove the gap between event holder and image ([63822c3](https://github.com/google/adk-python/commit/63822c3fa8b0bdce2527bd0d909c038e2b66dd98))
 
@@ -842,7 +841,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 ## 1.1.1
 
 ### Features
-* Add BigQuery first-party tools. See [here](https://github.com/google/adk-python/commit/d6c6bb4b2489a8b7a4713e4747c30d6df0c07961) for more details.
+* Add [BigQuery first-party tools](https://github.com/google/adk-python/commit/d6c6bb4b2489a8b7a4713e4747c30d6df0c07961).
 
 
 ## 1.1.0
@@ -978,7 +977,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 * Fix google search reading undefined for `renderedContent`.
 
 ### Miscellaneous Chores
-* Docstring improvements, typo fixings, github action to enfore code styles on formatting and imports, etc.
+* Docstring improvements, typo fixings, github action to enforce code styles on formatting and imports, etc.
 
 ## 0.3.0
 
@@ -1017,7 +1016,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 
 ### ⚠ BREAKING CHANGES
 
-* Fix typo in method name in `Event`: has_trailing_code_exeuction_result --> has_trailing_code_execution_result.
+* Fix typo in method name in `Event`: has_trailing_code_execution_result --> has_trailing_code_execution_result.
 
 ### Features
 
@@ -1047,7 +1046,7 @@ with Bigtable for building AI Agent applications(experimental feature) ([a953807
 
 ### Miscellaneous Chores
 
-* Adds unit tests in Github action.
+* Adds unit tests in GitHub action.
 * Improves test coverage.
 * Various typo fixes.
 

contributing/samples/a2a_auth/remote_a2a/bigquery_agent/agent.py

@@ -46,7 +46,7 @@
       Use the provided tools to conduct various operations on users' data in Google BigQuery.
 
       Scenario 1:
-      The user wants to query their biguqery datasets
+      The user wants to query their bigquery datasets
       Use bigquery_datasets_list to query user's datasets
 
       Scenario 2:

contributing/samples/a2a_human_in_loop/README.md

@@ -99,7 +99,7 @@ Agent: ✅ Great news! Your reimbursement has been approved by the manager. Proc
 The human-in-the-loop process follows this pattern:
 
 1. **Initial Call**: Root agent delegates approval request to remote approval agent for amounts >$100
-2. **Pending Response**: Remote approval agent returns immediate response with `status: "pending"` and ticket ID and serface the approval request to root agent
+2. **Pending Response**: Remote approval agent returns immediate response with `status: "pending"` and ticket ID and surface the approval request to root agent
 3. **Agent Acknowledgment**: Root agent informs user about pending approval status
 4. **Human Interaction**: Human manager interacts with root agent to review and approve/reject the request
 5. **Updated Response**: Root agent receives updated tool response with approval decision and send it to remote agent

contributing/samples/adk_answering_agent/README.md

@@ -116,4 +116,4 @@ The following environment variables are required to upload the docs to update th
 * `ADK_DOCS_ROOT_PATH=YOUR_ADK_DOCS_ROOT_PATH`: **(Required)** Path to the root of the downloaded adk-docs repo.
 * `ADK_PYTHON_ROOT_PATH=YOUR_ADK_PYTHON_ROOT_PATH`: **(Required)** Path to the root of the downloaded adk-python repo.
 
-For local execution in interactive mode, you can place these variables in a `.env` file in the project's root directory. For the GitHub workflow, they should be configured as repository secrets.
+For local execution in interactive mode, you can place these variables in a `.env` file in the project's root directory. For the GitHub workflow, they should be configured as repository secrets.

contributing/samples/adk_answering_agent/upload_docs_to_vertex_ai_search.py

@@ -130,7 +130,7 @@ def upload_directory_to_gcs(
         )
         return False
 
-  print(f"Sucessfully uploaded {file_count} files to GCS.")
+  print(f"Successfully uploaded {file_count} files to GCS.")
   return True
 
 
@@ -148,7 +148,7 @@ def import_from_gcs_to_vertex_ai(
         # parent has the format of
         # "projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{datastore_id}/branches/default_branch"
         parent=full_datastore_id + "/branches/default_branch",
-        # Specify the GCS source and use "content" for unstructed data.
+        # Specify the GCS source and use "content" for unstructured data.
         gcs_source=discoveryengine.GcsSource(
             input_uris=[gcs_uri], data_schema="content"
         ),

contributing/samples/adk_answering_agent/utils.py

@@ -143,7 +143,7 @@ def convert_gcs_to_https(gcs_uri: str) -> Optional[str]:
     if _check_url_exists(potential_url):
       return potential_url
     else:
-      # If it doesn't exist, fallback to the regular github url
+      # If it doesn't exist, fall back to the regular github url
       return _generate_github_url(prefix, relative_path)
 
   # Convert the links for other cases, e.g. adk-python

contributing/samples/adk_issue_formatting_agent/agent.py

@@ -45,7 +45,7 @@
 
 
 def list_open_issues(issue_count: int) -> dict[str, Any]:
-  """List most recent `issue_count` numer of open issues in the repo.
+  """List most recent `issue_count` number of open issues in the repo.
 
   Args:
     issue_count: number of issues to return
@@ -75,7 +75,7 @@ def get_issue(issue_number: int) -> dict[str, Any]:
   """Get the details of the specified issue number.
 
   Args:
-    issue_number: issue number of the Github issue.
+    issue_number: issue number of the GitHub issue.
 
   Returns:
     The status of this request, with the issue details when successful.
@@ -92,7 +92,7 @@ def add_comment_to_issue(issue_number: int, comment: str) -> dict[str, any]:
   """Add the specified comment to the given issue number.
 
   Args:
-    issue_number: issue number of the Github issue
+    issue_number: issue number of the GitHub issue
     comment: comment to add
 
   Returns:
@@ -116,7 +116,7 @@ def list_comments_on_issue(issue_number: int) -> dict[str, any]:
   """List all comments on the given issue number.
 
   Args:
-    issue_number: issue number of the Github issue
+    issue_number: issue number of the GitHub issue
 
   Returns:
     The the status of this request, with the list of comments when successful.

contributing/samples/adk_pr_agent/agent.py

@@ -125,7 +125,7 @@ def get_github_pr_info_http(pr_number: int) -> str | None:
 system_prompt = """
 You are a helpful assistant to generate reasonable descriptions for pull requests for software engineers.
 
-The descritions should not be too short (e.g.: less than 3 words), or too long (e.g.: more than 30 words).
+The descriptions should not be too short (e.g.: less than 3 words), or too long (e.g.: more than 30 words).
 
 The generated description should start with `chore`, `docs`, `feat`, `fix`, `test`, or `refactor`.
 `feat` stands for a new feature.

contributing/samples/adk_pr_triaging_agent/agent.py

@@ -58,7 +58,7 @@ def get_pull_request_details(pr_number: int) -> str:
   """Get the details of the specified pull request.
 
   Args:
-    pr_number: number of the Github pull request.
+    pr_number: number of the GitHub pull request.
 
   Returns:
     The status of this request, with the details when successful.
@@ -162,7 +162,7 @@ def add_label_to_pr(pr_number: int, label: str) -> dict[str, Any]:
   """Adds a specified label on a pull request.
 
   Args:
-      pr_number: the number of the Github pull request
+      pr_number: the number of the GitHub pull request
       label: the label to add
 
   Returns:
@@ -175,7 +175,7 @@ def add_label_to_pr(pr_number: int, label: str) -> dict[str, Any]:
         f"Error: Label '{label}' is not an allowed label. Will not apply."
     )
 
-  # Pull Request is a special issue in Github, so we can use issue url for PR.
+  # Pull Request is a special issue in GitHub, so we can use issue url for PR.
   label_url = (
       f"{GITHUB_BASE_URL}/repos/{OWNER}/{REPO}/issues/{pr_number}/labels"
   )
@@ -197,15 +197,15 @@ def add_comment_to_pr(pr_number: int, comment: str) -> dict[str, Any]:
   """Add the specified comment to the given PR number.
 
   Args:
-    pr_number: the number of the Github pull request
+    pr_number: the number of the GitHub pull request
     comment: the comment to add
 
   Returns:
     The the status of this request, with the applied comment when successful.
   """
   print(f"Attempting to add comment '{comment}' to issue #{pr_number}")
 
-  # Pull Request is a special issue in Github, so we can use issue url for PR.
+  # Pull Request is a special issue in GitHub, so we can use issue url for PR.
   url = f"{GITHUB_BASE_URL}/repos/{OWNER}/{REPO}/issues/{pr_number}/comments"
   payload = {"body": comment}
 
@@ -225,7 +225,7 @@ def add_comment_to_pr(pr_number: int, comment: str) -> dict[str, Any]:
     description="Triage ADK pull requests.",
     instruction=f"""
       # 1. Identity
-      You are a Pull Request (PR) triaging bot for the Github {REPO} repo with the owner {OWNER}.
+      You are a Pull Request (PR) triaging bot for the GitHub {REPO} repo with the owner {OWNER}.
 
       # 2. Responsibilities
       Your core responsibility includes:
@@ -242,7 +242,7 @@ def add_comment_to_pr(pr_number: int, comment: str) -> dict[str, Any]:
       - If it's about session, memory, artifacts services, label it with "services"
       - If it's about UI/web, label it with "web"
       - If it's related to tools, label it with "tools"
-      - If it's about agent evalaution, then label it with "eval".
+      - If it's about agent evaluation, then label it with "eval".
       - If it's about streaming/live, label it with "live".
       - If it's about model support(non-Gemini, like Litellm, Ollama, OpenAI models), label it with "models".
       - If it's about tracing, label it with "tracing".
@@ -280,7 +280,7 @@ def add_comment_to_pr(pr_number: int, comment: str) -> dict[str, Any]:
       - Call the `get_pull_request_details` tool to get the details of the PR.
       - Skip the PR (i.e. do not label or comment) if any of the following is true:
         - the PR is closed
-        - the PR is labeled with "google-contributior"
+        - the PR is labeled with "google-contributor"
         - the PR is already labelled with the above labels (e.g. "documentation", "services", "tools", etc.).
       - Check if the PR is following the contribution guidelines.
         - If it's not following the guidelines, recommend or add a comment to the PR that points to the contribution guidelines (https://github.com/google/adk-python/blob/main/CONTRIBUTING.md).

contributing/samples/adk_triaging_agent/agent.py

@@ -50,7 +50,7 @@
 
 
 def list_unlabeled_issues(issue_count: int) -> dict[str, Any]:
-  """List most recent `issue_count` numer of unlabeled issues in the repo.
+  """List most recent `issue_count` number of unlabeled issues in the repo.
 
   Args:
     issue_count: number of issues to return
@@ -87,7 +87,7 @@ def add_label_and_owner_to_issue(
   """Add the specified label and owner to the given issue number.
 
   Args:
-    issue_number: issue number of the Github issue.
+    issue_number: issue number of the GitHub issue.
     label: label to assign
 
   Returns:
@@ -143,7 +143,7 @@ def change_issue_type(issue_number: int, issue_type: str) -> dict[str, Any]:
   """Change the issue type of the given issue number.
 
   Args:
-    issue_number: issue number of the Github issue, in string foramt.
+    issue_number: issue number of the GitHub issue, in string format.
     issue_type: issue type to assign
 
   Returns:
@@ -168,7 +168,7 @@ def change_issue_type(issue_number: int, issue_type: str) -> dict[str, Any]:
     name="adk_triaging_assistant",
     description="Triage ADK issues.",
     instruction=f"""
-      You are a triaging bot for the Github {REPO} repo with the owner {OWNER}. You will help get issues, and recommend a label.
+      You are a triaging bot for the GitHub {REPO} repo with the owner {OWNER}. You will help get issues, and recommend a label.
       IMPORTANT: {APPROVAL_INSTRUCTION}
 
       Here are the rules for labeling:
@@ -177,7 +177,7 @@ def change_issue_type(issue_number: int, issue_type: str) -> dict[str, Any]:
       - If it's about UI/web, label it with "web"
       - If the user is asking about a question, label it with "question"
       - If it's related to tools, label it with "tools"
-      - If it's about agent evalaution, then label it with "eval".
+      - If it's about agent evaluation, then label it with "eval".
       - If it's about streaming/live, label it with "live".
       - If it's about model support(non-Gemini, like Litellm, Ollama, OpenAI models), label it with "models".
       - If it's about tracing, label it with "tracing".

contributing/samples/application_integration_agent/README.md

@@ -7,7 +7,7 @@ This sample demonstrates how to use the `ApplicationIntegrationToolset` within a
 ## Prerequisites
 
 1.  **Set up Integration Connection:**
-    *   You need an existing [Integration connection](https://cloud.google.com/integration-connectors/docs/overview) configured to interact with your Jira instance. Follow the [documentation](https://google.github.io/adk-docs/tools/google-cloud-tools/#use-integration-connectors) to provision the Integration Connector in Google Cloud and then use this [documentation](https://cloud.google.com/integration-connectors/docs/connectors/jiracloud/configure) to create an JIRA connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection.
+    *   You need an existing [Integration connection](https://cloud.google.com/integration-connectors/docs/overview) configured to interact with your Jira instance. Follow the [documentation](https://google.github.io/adk-docs/tools/google-cloud-tools/#use-integration-connectors) to provision the Integration Connector in Google Cloud and then use this [documentation](https://cloud.google.com/integration-connectors/docs/connectors/jiracloud/configure) to create an Jira connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection.
     * 
 
 2.  **Configure Environment Variables:**