chore: Bump version number to 1.10.0

PiperOrigin-RevId: 792206610

.github/workflows/discussion_answering.yml

@@ -0,0 +1,44 @@
+name: ADK Answering Agent for Discussions
+
+on:
+  discussion:
+    types: [created]
+
+jobs:
+  agent-answer-questions:
+    if: github.event.discussion.category.name == 'Q&A'
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Authenticate to Google Cloud
+        id: auth
+        uses: 'google-github-actions/auth@v2'
+        with:
+          credentials_json: '${{ secrets.ADK_GCP_SA_KEY }}'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install google-adk
+
+      - name: Run Answering Script
+        env:
+          GITHUB_TOKEN: ${{ secrets.ADK_TRIAGE_AGENT }}
+          GOOGLE_CLOUD_PROJECT: ${{ secrets.GOOGLE_CLOUD_PROJECT }}
+          GOOGLE_CLOUD_LOCATION: ${{ secrets.GOOGLE_CLOUD_LOCATION }}
+          VERTEXAI_DATASTORE_ID: ${{ secrets.VERTEXAI_DATASTORE_ID }}
+          GOOGLE_GENAI_USE_VERTEXAI: 1
+          OWNER: 'google'
+          REPO: 'adk-python'
+          INTERACTIVE: 0
+          DISCUSSION_NUMBER: ${{ github.event.discussion.number }}
+          PYTHONPATH: contributing/samples
+        run: python -m adk_answering_agent.main

.github/workflows/pr-commit-check.yml

@@ -1,62 +0,0 @@
-# .github/workflows/pr-commit-check.yml
-# This GitHub Action workflow checks if a pull request has more than one commit.
-# If it does, it fails the check and instructs the user to squash their commits.
-
-name: 'PR Commit Check'
-
-# This workflow runs on pull request events.
-# It's configured to run on any pull request that is opened or synchronized (new commits pushed).
-on:
-  pull_request:
-    types: [opened, synchronize]
-
-# Defines the jobs that will run as part of the workflow.
-jobs:
-  check-commit-count:
-    # The type of runner that the job will run on. 'ubuntu-latest' is a good default.
-    runs-on: ubuntu-latest
-
-    # The steps that will be executed as part of the job.
-    steps:
-      # Step 1: Check out the code
-      # This action checks out your repository under $GITHUB_WORKSPACE, so your workflow can access it.
-      - name: Checkout Code
-        uses: actions/checkout@v4
-        with:
-          # We need to fetch all commits to accurately count them.
-          # '0' means fetch all history for all branches and tags.
-          fetch-depth: 0
-
-      # Step 2: Count the commits in the pull request
-      # This step runs a script to get the number of commits in the PR.
-      - name: Count Commits
-        id: count_commits
-        # We use `git rev-list --count` to count the commits.
-        # ${{ github.event.pull_request.base.sha }} is the commit SHA of the base branch.
-        # ${{ github.event.pull_request.head.sha }} is the commit SHA of the head branch (the PR branch).
-        # The '..' syntax gives us the list of commits in the head branch that are not in the base branch.
-        # The output of the command (the count) is stored in a step output variable named 'count'.
-        run: |
-          count=$(git rev-list --count ${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }})
-          echo "commit_count=$count" >> $GITHUB_OUTPUT
-
-      # Step 3: Check if the commit count is greater than 1
-      # This step uses the output from the previous step to decide whether to pass or fail.
-      - name: Check Commit Count
-        # This step only runs if the 'commit_count' output from the 'count_commits' step is greater than 1.
-        if: steps.count_commits.outputs.commit_count > 1
-        # If the condition is met, the workflow will exit with a failure status.
-        run: |
-          echo "This pull request has ${{ steps.count_commits.outputs.commit_count }} commits."
-          echo "Please squash them into a single commit before merging."
-          echo "You can use git rebase -i HEAD~N"
-          echo "...where N is the number of commits you want to squash together. The PR check conveniently tells you this number! For example, if the check says you have 3 commits, you would run: git rebase -i HEAD~3."
-          echo "Because you have rewritten the commit history, you must use the --force flag to update the pull request: git push --force"
-          exit 1
-
-      # Step 4: Success message
-      # This step runs if the commit count is not greater than 1 (i.e., it's 1).
-      - name: Success
-        if: steps.count_commits.outputs.commit_count <= 1
-        run: |
-          echo "This pull request has a single commit. Great job!"

.github/workflows/pr-triage.yml

@@ -0,0 +1,38 @@
+name: ADK Pull Request Triaging Agent
+
+on:
+  pull_request_target:
+    types: [opened, reopened, edited]
+
+jobs:
+  agent-triage-pull-request:
+    runs-on: ubuntu-latest
+    permissions:
+      pull-requests: write
+      contents: read
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install requests google-adk
+
+      - name: Run Triaging Script
+        env:
+          GITHUB_TOKEN: ${{ secrets.ADK_TRIAGE_AGENT }}
+          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
+          GOOGLE_GENAI_USE_VERTEXAI: 0
+          OWNER: 'google'
+          REPO: 'adk-python'
+          PULL_REQUEST_NUMBER: ${{ github.event.pull_request.number }}
+          INTERACTIVE: ${{ vars.PR_TRIAGE_INTERACTIVE }}
+          PYTHONPATH: contributing/samples
+        run: python -m adk_pr_triaging_agent.main

CHANGELOG.md

@@ -1,5 +1,118 @@
 # Changelog
 
+## [1.10.0](https://github.com/google/adk-python/compare/v1.9.0...v1.10.0) (2025-08-07)
+
+### Features
+
+* [Live] Implement Live Session Resumption ([71fbc92](https://github.com/google/adk-python/commit/71fbc9275b3d74700ec410cb4155ba0cb18580b7))
+* [Tool] Support parallel execution of parallel function calls ([57cd41f](https://github.com/google/adk-python/commit/57cd41f424b469fb834bb8f2777b5f7be9aa6cdf))
+* [Models] Allow max tokens to be customizable in Claude ([7556ebc](https://github.com/google/adk-python/commit/7556ebc76abd3c776922c2803aed831661cf7f82))
+* [Tool] Create enterprise_web_search_tool as a tool instance ([0e28d64](https://github.com/google/adk-python/commit/0e28d64712e481cfd3b964be0166f529657024f6))
+
+### Bug Fixes
+
+* Fix shared default plugin manager and cost manager instances among multiple invocations ([423542a](https://github.com/google/adk-python/commit/423542a43fb8316195e9f79d97f87593751bebd3))
+* Correct the type annotation in anthropic_llm implementation ([97318bc](https://github.com/google/adk-python/commit/97318bcd199acdacadfe8664da3fbfc3c806cdd2))
+* Fix adk deploy cloud_run cli, which was broken in v1.9.0 ([e41dbcc](https://github.com/google/adk-python/commit/e41dbccf7f610e249108f9321f60f71fe2cc10f4))
+* Remove thoughts from contents in llm requests from history contents ([d620bcb](https://github.com/google/adk-python/commit/d620bcb384d3068228ea2059fb70274e68e69682))
+* Annotate response type as None for transfer_to_agent tool ([86a4487](https://github.com/google/adk-python/commit/86a44873e9b2dfc7e62fa31a9ac3be57c0bbff7b))
+* Fix incompatible a2a sdk changes ([faadef1](https://github.com/google/adk-python/commit/faadef167ee8e4dd1faf4da5685a577c3155556e))
+* Fix adk cli options and method parameters mismatching ([8ef2177](https://github.com/google/adk-python/commit/8ef2177658fbfc74b1a74b0c3ea8150bae866796))
+
+### Improvements
+
+* 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))
+* Add sample agent for testing parallel functions execution ([90b9193](https://github.com/google/adk-python/commit/90b9193a20499b8dd7f57d119cda4c534fcfda10))
+* Hide the ask_data_insights tool until the API is publicly available ([bead607](https://github.com/google/adk-python/commit/bead607364be7ac8109357c9d3076d9b345e9e8a))
+* Change `LlmRequest.config`'s default value to be `types.GenerateContentConfig()` ([041f04e](https://github.com/google/adk-python/commit/041f04e89cee30532facccce4900d10f1b8c69ce))
+* Prevent triggering of _load_from_yaml_config in AgentLoader ([db975df](https://github.com/google/adk-python/commit/db975dfe2a09a6d056d02bc03c1247ac10f6da7d))
+
+### Documentation
+
+* Fix typos ([16a15c8](https://github.com/google/adk-python/commit/16a15c8709b47c9bebe7cffe888e8e7e48ec605a))
+
+
+## [1.9.0](https://github.com/google/adk-python/compare/v1.8.0...v1.9.0) (2025-07-31)
+
+
+### Features
+
+* [CLI] Add `-v`, `--verbose` flag to enable DEBUG logging as a shortcut for `--log_level DEBUG` ([3be0882](https://github.com/google/adk-python/commit/3be0882c63bf9b185c34bcd17e03769b39f0e1c5))
+* [CLI] Add a CLI option to update an agent engine instance ([206a132](https://github.com/google/adk-python/commit/206a13271e5f1bb0bb8114b3bb82f6ec3f030cd7))
+* [CLI] Modularize fast_api.py to allow simpler construction of API Server ([bfc203a](https://github.com/google/adk-python/commit/bfc203a92fdfbc4abaf776e76dca50e7ca59127b), [dfc25c1](https://github.com/google/adk-python/commit/dfc25c17a98aaad81e1e2f140db83d17cd78f393), [e176f03](https://github.com/google/adk-python/commit/e176f03e8fe13049187abd0f14e63afca9ccff01))
+* [CLI] Refactor AgentLoader into base class and add InMemory impl alongside existing filesystem impl ([bda3df2](https://github.com/google/adk-python/commit/bda3df24802d0456711a5cd05544aea54a13398d))
+* [CLI] Respect the .ae_ignore file when deploying to agent engine ([f29ab5d](https://github.com/google/adk-python/commit/f29ab5db0563a343d6b8b437a12557c89b7fc98b))
+* [Core] Add new callbacks to handle tool and model errors ([00afaaf](https://github.com/google/adk-python/commit/00afaaf2fc18fba85709754fb1037bb47f647243))
+* [Core] Add sample plugin for logging ([20537e8](https://github.com/google/adk-python/commit/20537e8bfa31220d07662dad731b4432799e1802))
+* [Core] Expose Gemini RetryOptions to client ([1639298](https://github.com/google/adk-python/commit/16392984c51b02999200bd4f1d6781d5ec9054de))
+* [Evals] Added an Fast API new endpoint to serve eval metric info ([c69dcf8](https://github.com/google/adk-python/commit/c69dcf87795c4fa2ad280b804c9b0bd3fa9bf06f))
+* [Evals] Refactored AgentEvaluator and updated it to use LocalEvalService ([1355bd6](https://github.com/google/adk-python/commit/1355bd643ba8f7fd63bcd6a7284cc48e325d138e))
+
+
+### Bug Fixes
+
+* Add absolutize_imports option when deploying to agent engine ([fbe6a7b](https://github.com/google/adk-python/commit/fbe6a7b8d3a431a1d1400702fa534c3180741eb3))
+* Add space to allow adk deploy cloud_run --a2a ([70c4616](https://github.com/google/adk-python/commit/70c461686ec2c60fcbaa384a3f1ea2528646abba))
+* Copy the original function call args before passing it to callback or tools to avoid being modified ([3432b22](https://github.com/google/adk-python/commit/3432b221727b52af2682d5bf3534d533a50325ef))
+* Eval module not found exception string ([7206e0a](https://github.com/google/adk-python/commit/7206e0a0eb546a66d47fb411f3fa813301c56f42))
+* Fix incorrect token count mapping in telemetry ([c8f8b4a](https://github.com/google/adk-python/commit/c8f8b4a20a886a17ce29abd1cfac2858858f907d))
+* Import cli's artifact dependencies directly ([282d67f](https://github.com/google/adk-python/commit/282d67f253935af56fae32428124a385f812c67d))
+* Keep existing header values while merging tracking headers for `llm_request.config.http_options` in `Gemini.generate_content_async` ([6191412](https://github.com/google/adk-python/commit/6191412b07c3b5b5a58cf7714e475f63e89be847))
+* Merge tracking headers even when `llm_request.config.http_options` is not set in `Gemini.generate_content_async` ([ec8dd57](https://github.com/google/adk-python/commit/ec8dd5721aa151cfc033cc3aad4733df002ae9cb))
+* Restore bigquery sample agent to runnable form ([16e8419](https://github.com/google/adk-python/commit/16e8419e32b54298f782ba56827e5139effd8780))
+* Return session state in list_session API endpoint ([314d6a4](https://github.com/google/adk-python/commit/314d6a4f95c6d37c7da3afbc7253570564623322))
+* Runner was expecting Event object instead of Content object when using early exist feature ([bf72426](https://github.com/google/adk-python/commit/bf72426af2bfd5c2e21c410005842e48b773deb3))
+* Unable to acquire impersonated credentials ([9db5d9a](https://github.com/google/adk-python/commit/9db5d9a3e87d363c1bac0f3d8e45e42bd5380d3e))
+* Update `agent_card_builder` to follow grammar rules ([9c0721b](https://github.com/google/adk-python/commit/9c0721beaa526a4437671e6cc70915073be835e3)), closes [#2223](https://github.com/google/adk-python/issues/2223)
+* Use correct type for actions parameter in ApplicationIntegrationToolset ([ce7253f](https://github.com/google/adk-python/commit/ce7253f63ff8e78bccc7805bd84831f08990b881))
+
+
+### Documentation
+
+* Update documents about the information of vibe coding ([0c85587](https://github.com/google/adk-python/commit/0c855877c57775ad5dad930594f9f071164676da))
+
+
+## [1.8.0](https://github.com/google/adk-python/compare/v1.7.0...v1.8.0) (2025-07-23)
+
+### 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 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))
+* [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))
+* [Tools]Enhance LangchainTool to accept more forms of functions ([0ec69d0](https://github.com/google/adk-python/commit/0ec69d05a4016adb72abf9c94f2e9ff4bdd1848c))
+
+### Bug Fixes
+
+* **Attention**: Logging level for some API requests and responses was moved from `INFO` to `DEBUG` ([ff31f57](https://github.com/google/adk-python/commit/ff31f57dc95149f8f309f83f2ec983ef40f1122c))
+  * Please set `--log_level=DEBUG`, if you are interested in having those API request and responses in logs.
+* Add buffer to the write file option ([f2caf2e](https://github.com/google/adk-python/commit/f2caf2eecaf0336495fb42a2166b1b79e57d82d8))
+* Allow current sub-agent to finish execution before exiting the loop agent due to a sub-agent's escalation. ([2aab1cf](https://github.com/google/adk-python/commit/2aab1cf98e1d0e8454764b549fac21475a633409))
+* Check that `mean_score` is a valid float value ([65cb6d6](https://github.com/google/adk-python/commit/65cb6d6bf3278e6c3529938a7b932e3ef6d6c2ae))
+* Handle non-json-serializable values in the `execute_sql` tool ([13ff009](https://github.com/google/adk-python/commit/13ff009d34836a80f107cb43a632df15f7c215e4))
+* Raise `NotFoundError` in `list_eval_sets` function when app_name doesn't exist ([b17d8b6](https://github.com/google/adk-python/commit/b17d8b6e362a5b2a1b6a2dd0cff5e27a71c27925))
+* Fixed serialization of tools with nested schema ([53df35e](https://github.com/google/adk-python/commit/53df35ee58599e9816bd4b9c42ff48457505e599))
+* Set response schema for function tools that returns `None` ([33ac838](https://github.com/google/adk-python/commit/33ac8380adfff46ed8a7d518ae6f27345027c074))
+* Support path level parameters for open_api_spec_parser ([6f01660](https://github.com/google/adk-python/commit/6f016609e889bb0947877f478de0c5729cfcd0c3))
+* Use correct type for actions parameter in ApplicationIntegrationToolset ([ce7253f](https://github.com/google/adk-python/commit/ce7253f63ff8e78bccc7805bd84831f08990b881))
+* Use the same word extractor for query and event contents in InMemoryMemoryService ([1c4c887](https://github.com/google/adk-python/commit/1c4c887bec9326aad2593f016540160d95d03f33))
+
+### Documentation
+
+* Fix missing toolbox-core dependency and improve installation guide ([2486349](https://github.com/google/adk-python/commit/24863492689f36e3c7370be40486555801858bac))
+
+
 ## 1.7.0 (2025-07-16)
 
 ### Features

CONTRIBUTING.md

@@ -210,3 +210,7 @@ All submissions, including submissions by project members, require review. We
 use GitHub pull requests for this purpose. Consult
 [GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
 information on using pull requests.
+
+# Vibe Coding
+
+If you want to contribute by leveraging viber coding, the AGENTS.md (https://github.com/google/adk-python/tree/main/AGENTS.md) could be used as context to your LLM.

README.md

@@ -138,6 +138,10 @@ We welcome contributions from the community! Whether it's bug reports, feature r
 - [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).
 - Then if you want to contribute code, please read [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.
 
+## Vibe Coding
+
+If you are to develop agent via vibe coding the [llms.txt](./llms.txt) and the [llms-full.txt](./llms-full.txt) can be used as context to LLM. While the former one is a summarized one and the later one has the full information in case your LLM has big enough context window.
+
 ## 📄 License
 
 This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.

contributing/adk_project_overview_and_architecture.md

@@ -28,20 +28,22 @@ Google Agent Development Kit (ADK) for Python
 
 Adhere to this structure for compatibility with ADK tooling.
 
-my_adk_project/ \
-└── src/ \
-    └── my_app/ \
-        ├── agents/ \
-        │   ├── my_agent/ \
+```
+my_adk_project/
+└── src/
+    └── my_app/
+        ├── agents/
+        │   ├── my_agent/
         │   │   ├── __init__.py   # Must contain: from. import agent \
         │   │   └── agent.py      # Must contain: root_agent = Agent(...) \
-        │   └── another_agent/ \
-        │       ├── __init__.py \
+        │   └── another_agent/
+        │       ├── __init__.py
         │       └── agent.py\
+```
 
 agent.py: Must define the agent and assign it to a variable named root_agent. This is how ADK's tools find it.
 
-__init__.py: In each agent directory, it must contain from. import agent to make the agent discoverable.
+`__init__.py`: In each agent directory, it must contain from. import agent to make the agent discoverable.
 
 ## Local Development & Debugging
 
@@ -108,4 +110,3 @@ Test Cases: Create JSON files with input and a reference (expected tool calls an
 Metrics: tool_trajectory_avg_score (does it use tools correctly?) and response_match_score (is the final answer good?).
 
 Run via: adk web (UI), pytest (for CI/CD), or adk eval (CLI).
-

contributing/samples/a2a_auth/agent.py

@@ -13,11 +13,11 @@
 # limitations under the License.
 
 
-from google.adk.agents import Agent
+from google.adk.agents.llm_agent import Agent
 from google.adk.agents.remote_a2a_agent import AGENT_CARD_WELL_KNOWN_PATH
 from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
 from google.adk.tools.langchain_tool import LangchainTool
-from langchain_community.tools import YouTubeSearchTool
+from langchain_community.tools.youtube.search import YouTubeSearchTool
 
 # Instantiate the tool
 langchain_yt_tool = YouTubeSearchTool()

contributing/samples/a2a_basic/agent.py

@@ -14,7 +14,7 @@
 
 import random
 
-from google.adk.agents import Agent
+from google.adk.agents.llm_agent import Agent
 from google.adk.agents.remote_a2a_agent import AGENT_CARD_WELL_KNOWN_PATH
 from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
 from google.adk.tools.example_tool import ExampleTool

contributing/samples/a2a_human_in_loop/agent.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 
-from google.adk import Agent
+from google.adk.agents.llm_agent import Agent
 from google.adk.agents.remote_a2a_agent import AGENT_CARD_WELL_KNOWN_PATH
 from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
 from google.genai import types

contributing/samples/a2a_human_in_loop/remote_a2a/human_in_loop/agent.py

@@ -15,8 +15,8 @@
 from typing import Any
 
 from google.adk import Agent
-from google.adk.tools import ToolContext
 from google.adk.tools.long_running_tool import LongRunningFunctionTool
+from google.adk.tools.tool_context import ToolContext
 from google.genai import types
 
 

contributing/samples/a2a_root/README.md

@@ -0,0 +1,123 @@
+# A2A Root Sample Agent
+
+This sample demonstrates how to use a **remote Agent-to-Agent (A2A) agent as the root agent** in the Agent Development Kit (ADK). This is a simplified approach where the main agent is actually a remote A2A service, also showcasing how to run remote agents using uvicorn command.
+
+## Overview
+
+The A2A Root sample consists of:
+
+- **Root Agent** (`agent.py`): A remote A2A agent proxy as root agent that talks to a remote a2a agent running on a separate server
+- **Remote Hello World Agent** (`remote_a2a/hello_world/agent.py`): The actual agent implementation that handles dice rolling and prime number checking running on remote server
+
+## Architecture
+
+```
+┌─────────────────┐    ┌────────────────────┐
+│   Root Agent    │───▶│   Remote Hello     │
+│ (RemoteA2aAgent)│    │   World Agent      │
+│ (localhost:8000)│    │  (localhost:8001)  │
+└─────────────────┘    └────────────────────┘
+```
+
+## Key Features
+
+### 1. **Remote A2A as Root Agent**
+- The `root_agent` is a `RemoteA2aAgent` that connects to a remote A2A service
+- Demonstrates how to use remote agents as the primary agent instead of local agents
+- Shows the flexibility of the A2A architecture for distributed agent deployment
+
+### 2. **Uvicorn Server Deployment**
+- The remote agent is served using uvicorn, a lightweight ASGI server
+- Demonstrates a simple way to deploy A2A agents without using the ADK CLI
+- Shows how to expose A2A agents as standalone web services
+
+### 3. **Agent Functionality**
+- **Dice Rolling**: Can roll dice with configurable number of sides
+- **Prime Number Checking**: Can check if numbers are prime
+- **State Management**: Maintains roll history in tool context
+- **Parallel Tool Execution**: Can use multiple tools in parallel
+
+### 4. **Simple Deployment Pattern**
+- Uses the `to_a2a()` utility to convert a standard ADK agent to an A2A service
+- Minimal configuration required for remote agent deployment
+
+## Setup and Usage
+
+### Prerequisites
+
+1. **Start the Remote A2A Agent server**:
+   ```bash
+   # Start the remote agent using uvicorn
+   uvicorn contributing.samples.a2a_root.remote_a2a.hello_world.agent:a2a_app --host localhost --port 8001
+   ```
+
+2. **Run the Main Agent**:
+   ```bash
+   # In a separate terminal, run the adk web server
+   adk web contributing/samples/
+   ```
+
+### Example Interactions
+
+Once both services are running, you can interact with the root agent:
+
+**Simple Dice Rolling:**
+```
+User: Roll a 6-sided die
+Bot: I rolled a 4 for you.
+```
+
+**Prime Number Checking:**
+```
+User: Is 7 a prime number?
+Bot: Yes, 7 is a prime number.
+```
+
+**Combined Operations:**
+```
+User: Roll a 10-sided die and check if it's prime
+Bot: I rolled an 8 for you.
+Bot: 8 is not a prime number.
+```
+
+**Multiple Rolls with Prime Checking:**
+```
+User: Roll a die 3 times and check which results are prime
+Bot: I rolled a 3 for you.
+Bot: I rolled a 7 for you.
+Bot: I rolled a 4 for you.
+Bot: 3, 7 are prime numbers.
+```
+
+## Code Structure
+
+### Root Agent (`agent.py`)
+
+- **`root_agent`**: A `RemoteA2aAgent` that connects to the remote A2A service
+- **Agent Card URL**: Points to the well-known agent card endpoint on the remote server
+
+### Remote Hello World Agent (`remote_a2a/hello_world/agent.py`)
+
+- **`roll_die(sides: int)`**: Function tool for rolling dice with state management
+- **`check_prime(nums: list[int])`**: Async function for prime number checking
+- **`root_agent`**: The main agent with comprehensive instructions
+- **`a2a_app`**: The A2A application created using `to_a2a()` utility
+
+
+
+## Troubleshooting
+
+**Connection Issues:**
+- Ensure the uvicorn server is running on port 8001
+- Check that no firewall is blocking localhost connections
+- Verify the agent card URL in the root agent configuration
+- Check uvicorn logs for any startup errors
+
+**Agent Not Responding:**
+- Check the uvicorn server logs for errors
+- Verify the agent instructions are clear and unambiguous
+- Ensure the A2A app is properly configured with the correct port
+
+**Uvicorn Issues:**
+- Make sure the module path is correct: `contributing.samples.a2a_root.remote_a2a.hello_world.agent:a2a_app`
+- Check that all dependencies are installed

contributing/samples/a2a_root/agent.py

@@ -0,0 +1,24 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from google.adk.agents.remote_a2a_agent import AGENT_CARD_WELL_KNOWN_PATH
+from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
+
+root_agent = RemoteA2aAgent(
+    name="hello_world_agent",
+    description=(
+        "Helpful assistant that can roll dice and check if numbers are prime."
+    ),
+    agent_card=f"http://localhost:8001/{AGENT_CARD_WELL_KNOWN_PATH}",
+)

contributing/samples/a2a_root/remote_a2a/hello_world/__init__.py

@@ -0,0 +1,15 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from . import agent

contributing/samples/a2a_root/remote_a2a/hello_world/agent.py

@@ -0,0 +1,111 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import random
+
+from google.adk import Agent
+from google.adk.a2a.utils.agent_to_a2a import to_a2a
+from google.adk.tools.tool_context import ToolContext
+from google.genai import types
+
+
+def roll_die(sides: int, tool_context: ToolContext) -> int:
+  """Roll a die and return the rolled result.
+
+  Args:
+    sides: The integer number of sides the die has.
+    tool_context: the tool context
+  Returns:
+    An integer of the result of rolling the die.
+  """
+  result = random.randint(1, sides)
+  if not 'rolls' in tool_context.state:
+    tool_context.state['rolls'] = []
+
+  tool_context.state['rolls'] = tool_context.state['rolls'] + [result]
+  return result
+
+
+async def check_prime(nums: list[int]) -> str:
+  """Check if a given list of numbers are prime.
+
+  Args:
+    nums: The list of numbers to check.
+
+  Returns:
+    A str indicating which number is prime.
+  """
+  primes = set()
+  for number in nums:
+    number = int(number)
+    if number <= 1:
+      continue
+    is_prime = True
+    for i in range(2, int(number**0.5) + 1):
+      if number % i == 0:
+        is_prime = False
+        break
+    if is_prime:
+      primes.add(number)
+  return (
+      'No prime numbers found.'
+      if not primes
+      else f"{', '.join(str(num) for num in primes)} are prime numbers."
+  )
+
+
+root_agent = Agent(
+    model='gemini-2.0-flash',
+    name='hello_world_agent',
+    description=(
+        'hello world agent that can roll a dice of 8 sides and check prime'
+        ' numbers.'
+    ),
+    instruction="""
+      You roll dice and answer questions about the outcome of the dice rolls.
+      You can roll dice of different sizes.
+      You can use multiple tools in parallel by calling functions in parallel(in one request and in one round).
+      It is ok to discuss previous dice roles, and comment on the dice rolls.
+      When you are asked to roll a die, you must call the roll_die tool with the number of sides. Be sure to pass in an integer. Do not pass in a string.
+      You should never roll a die on your own.
+      When checking prime numbers, call the check_prime tool with a list of integers. Be sure to pass in a list of integers. You should never pass in a string.
+      You should not check prime numbers before calling the tool.
+      When you are asked to roll a die and check prime numbers, you should always make the following two function calls:
+      1. You should first call the roll_die tool to get a roll. Wait for the function response before calling the check_prime tool.
+      2. After you get the function response from roll_die tool, you should call the check_prime tool with the roll_die result.
+        2.1 If user asks you to check primes based on previous rolls, make sure you include the previous rolls in the list.
+      3. When you respond, you must include the roll_die result from step 1.
+      You should always perform the previous 3 steps when asking for a roll and checking prime numbers.
+      You should not rely on the previous history on prime results.
+    """,
+    tools=[
+        roll_die,
+        check_prime,
+    ],
+    # planner=BuiltInPlanner(
+    #     thinking_config=types.ThinkingConfig(
+    #         include_thoughts=True,
+    #     ),
+    # ),
+    generate_content_config=types.GenerateContentConfig(
+        safety_settings=[
+            types.SafetySetting(  # avoid false alarm about rolling dice.
+                category=types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
+                threshold=types.HarmBlockThreshold.OFF,
+            ),
+        ]
+    ),
+)
+
+a2a_app = to_a2a(root_agent, port=8001)

contributing/samples/adk_answering_agent/README.md

@@ -2,7 +2,11 @@
 
 The ADK Answering Agent is a Python-based agent designed to help answer questions in GitHub discussions for the `google/adk-python` repository. It uses a large language model to analyze open discussions, retrieve information from document store, generate response, and post a comment in the github discussion.
 
-This agent can be operated in three distinct modes: an interactive mode for local use, a batch script mode for oncall use, or as a fully automated GitHub Actions workflow (TBD).
+This agent can be operated in three distinct modes:
+
+- An interactive mode for local use.
+- A batch script mode for oncall use.
+- A fully automated GitHub Actions workflow (TBD).
 
 ---
 
@@ -50,6 +54,15 @@ The `main.py` is reserved for the Github Workflow. The detailed setup for the au
 
 ---
 
+## Update the Knowledge Base
+
+The `upload_docs_to_vertex_ai_search.py` is a script to upload ADK related docs to Vertex AI Search datastore to update the knowledge base. It can be executed with the following command in your terminal:
+
+```bash
+export PYTHONPATH=contributing/samples # If not already exported
+python -m adk_answering_agent.upload_docs_to_vertex_ai_search
+```
+
 ## Setup and Configuration
 
 Whether running in interactive or workflow mode, the agent requires the following setup.
@@ -59,7 +72,7 @@ The agent requires the following Python libraries.
 
 ```bash
 pip install --upgrade pip
-pip install google-adk requests
+pip install google-adk
 ```
 
 The agent also requires gcloud login:
@@ -68,6 +81,12 @@ The agent also requires gcloud login:
 gcloud auth application-default login
 ```
 
+The upload script requires the following additional Python libraries.
+
+```bash
+pip install google-cloud-storage google-cloud-discoveryengine
+```
+
 ### Environment Variables
 The following environment variables are required for the agent to connect to the necessary services.
 
@@ -75,9 +94,15 @@ The following environment variables are required for the agent to connect to the
 * `GOOGLE_GENAI_USE_VERTEXAI=TRUE`: **(Required)** Use Google Vertex AI for the authentication.
 * `GOOGLE_CLOUD_PROJECT=YOUR_PROJECT_ID`: **(Required)** The Google Cloud project ID.
 * `GOOGLE_CLOUD_LOCATION=LOCATION`: **(Required)** The Google Cloud region.
-* `VERTEXAI_DATASTORE_ID=YOUR_DATASTORE_ID`: **(Required)** The Vertex AI datastore ID for the document store (i.e. knowledge base).
+* `VERTEXAI_DATASTORE_ID=YOUR_DATASTORE_ID`: **(Required)** The full Vertex AI datastore ID for the document store (i.e. knowledge base), with the format of `projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{datastore_id}`.
 * `OWNER`: The GitHub organization or username that owns the repository (e.g., `google`). Needed for both modes.
 * `REPO`: The name of the GitHub repository (e.g., `adk-python`). Needed for both modes.
 * `INTERACTIVE`: Controls the agent's interaction mode. For the automated workflow, this is set to `0`. For interactive mode, it should be set to `1` or left unset.
 
+The following environment variables are required to upload the docs to update the knowledge base.
+
+* `GCS_BUCKET_NAME=YOUR_GCS_BUCKET_NAME`: **(Required)** The name of the GCS bucket to store the documents.
+* `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.

contributing/samples/adk_answering_agent/agent.py

@@ -21,8 +21,8 @@ from adk_answering_agent.settings import REPO
 from adk_answering_agent.settings import VERTEXAI_DATASTORE_ID
 from adk_answering_agent.utils import error_response
 from adk_answering_agent.utils import run_graphql_query
-from google.adk.agents import Agent
-from google.adk.tools import VertexAiSearchTool
+from google.adk.agents.llm_agent import Agent
+from google.adk.tools.vertex_ai_search_tool import VertexAiSearchTool
 import requests
 
 if IS_INTERACTIVE:
@@ -137,6 +137,12 @@ def add_comment_to_discussion(
           }
         }
     """
+  comment_body = (
+      "**Response from ADK Answering Agent (experimental, answer may be"
+      " inaccurate)**\n\n"
+      + comment_body
+  )
+
   variables = {"discussionId": discussion_id, "body": comment_body}
   try:
     response = run_graphql_query(query, variables)
@@ -247,10 +253,8 @@ root_agent = Agent(
       * {APPROVAL_INSTRUCTION}
       * Your response should be based on the information you found in the document store. Do not invent
         information that is not in the document store. Do not invent citations which are not in the document store.
+      * **Be Objective**: your answer should be based on the facts you found in the document store, do not be misled by user's assumptions or user's understanding of ADK.
       * If you can't find the answer or information in the document store, **do not** respond.
-      * Include a bolded note (e.g. "Response from ADK Answering Agent") in your comment
-        to indicate this comment was added by an ADK Answering Agent.
-      * Have an empty line between the note and the rest of your response.
       * Inlclude a short summary of your response in the comment as a TLDR, e.g. "**TLDR**: <your summary>".
       * Have a divider line between the TLDR and your detail response.
       * Do not respond to any other discussion except the one specified by the user.

contributing/samples/adk_answering_agent/settings.py

@@ -29,9 +29,14 @@ VERTEXAI_DATASTORE_ID = os.getenv("VERTEXAI_DATASTORE_ID")
 if not VERTEXAI_DATASTORE_ID:
   raise ValueError("VERTEXAI_DATASTORE_ID environment variable not set")
 
+GOOGLE_CLOUD_PROJECT = os.getenv("GOOGLE_CLOUD_PROJECT")
+GCS_BUCKET_NAME = os.getenv("GCS_BUCKET_NAME")
+ADK_DOCS_ROOT_PATH = os.getenv("ADK_DOCS_ROOT_PATH")
+ADK_PYTHON_ROOT_PATH = os.getenv("ADK_PYTHON_ROOT_PATH")
+
 OWNER = os.getenv("OWNER", "google")
 REPO = os.getenv("REPO", "adk-python")
-BOT_RESPONSE_LABEL = os.getenv("BOT_RESPONSE_LABEL", "bot_responded")
+BOT_RESPONSE_LABEL = os.getenv("BOT_RESPONSE_LABEL", "bot responded")
 DISCUSSION_NUMBER = os.getenv("DISCUSSION_NUMBER")
 
 IS_INTERACTIVE = os.getenv("INTERACTIVE", "1").lower() in ["true", "1"]

contributing/samples/adk_answering_agent/upload_docs_to_vertex_ai_search.py

@@ -0,0 +1,222 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import sys
+
+from adk_answering_agent.settings import ADK_DOCS_ROOT_PATH
+from adk_answering_agent.settings import ADK_PYTHON_ROOT_PATH
+from adk_answering_agent.settings import GCS_BUCKET_NAME
+from adk_answering_agent.settings import GOOGLE_CLOUD_PROJECT
+from adk_answering_agent.settings import VERTEXAI_DATASTORE_ID
+from google.api_core.exceptions import GoogleAPICallError
+from google.cloud import discoveryengine_v1beta as discoveryengine
+from google.cloud import storage
+import markdown
+
+GCS_PREFIX_TO_ROOT_PATH = {
+    "adk-docs": ADK_DOCS_ROOT_PATH,
+    "adk-python": ADK_PYTHON_ROOT_PATH,
+}
+
+
+def cleanup_gcs_prefix(project_id: str, bucket_name: str, prefix: str) -> bool:
+  """Delete all the objects with the given prefix in the bucket."""
+  print(f"Start cleaning up GCS: gs://{bucket_name}/{prefix}...")
+  try:
+    storage_client = storage.Client(project=project_id)
+    bucket = storage_client.bucket(bucket_name)
+    blobs = list(bucket.list_blobs(prefix=prefix))
+
+    if not blobs:
+      print("GCS target location is already empty, no need to clean up.")
+      return True
+
+    bucket.delete_blobs(blobs)
+    print(f"Successfully deleted {len(blobs)} objects.")
+    return True
+  except GoogleAPICallError as e:
+    print(f"[ERROR] Failed to clean up GCS: {e}", file=sys.stderr)
+    return False
+
+
+def upload_directory_to_gcs(
+    source_directory: str, project_id: str, bucket_name: str, prefix: str
+) -> bool:
+  """Upload the whole directory into GCS."""
+  print(
+      f"Start uploading directory {source_directory} to GCS:"
+      f" gs://{bucket_name}/{prefix}..."
+  )
+
+  if not os.path.isdir(source_directory):
+    print(f"[Error] {source_directory} is not a directory or does not exist.")
+    return False
+
+  storage_client = storage.Client(project=project_id)
+  bucket = storage_client.bucket(bucket_name)
+  file_count = 0
+  for root, dirs, files in os.walk(source_directory):
+    # Modify the 'dirs' list in-place to prevent os.walk from descending
+    # into hidden directories.
+    dirs[:] = [d for d in dirs if not d.startswith(".")]
+
+    # Keep only .md and .py files.
+    files = [f for f in files if f.endswith(".md") or f.endswith(".py")]
+
+    for filename in files:
+      local_path = os.path.join(root, filename)
+
+      relative_path = os.path.relpath(local_path, source_directory)
+      gcs_path = os.path.join(prefix, relative_path)
+
+      try:
+        content_type = None
+        if filename.lower().endswith(".md"):
+          # Vertex AI search doesn't recognize text/markdown,
+          # convert it to html and use text/html instead
+          content_type = "text/html"
+          with open(local_path, "r", encoding="utf-8") as f:
+            md_content = f.read()
+          html_content = markdown.markdown(
+              md_content, output_format="html5", encoding="utf-8"
+          )
+          if not html_content:
+            print("  - Skipped empty file: " + local_path)
+            continue
+          gcs_path = gcs_path.removesuffix(".md") + ".html"
+          bucket.blob(gcs_path).upload_from_string(
+              html_content, content_type=content_type
+          )
+        else:  # Python files
+          bucket.blob(gcs_path).upload_from_filename(
+              local_path, content_type=content_type
+          )
+        type_msg = (
+            f"(type {content_type})" if content_type else "(type auto-detect)"
+        )
+        print(
+            f"  - Uploaded {type_msg}: {local_path} ->"
+            f" gs://{bucket_name}/{gcs_path}"
+        )
+        file_count += 1
+      except GoogleAPICallError as e:
+        print(
+            f"[ERROR] Error uploading file {local_path}: {e}", file=sys.stderr
+        )
+        return False
+
+  print(f"Sucessfully uploaded {file_count} files to GCS.")
+  return True
+
+
+def import_from_gcs_to_vertex_ai(
+    full_datastore_id: str,
+    gcs_bucket: str,
+) -> bool:
+  """Triggers a bulk import task from a GCS folder to Vertex AI Search."""
+  print(f"Triggering FULL SYNC import from gs://{gcs_bucket}/**...")
+
+  try:
+    client = discoveryengine.DocumentServiceClient()
+    gcs_uri = f"gs://{gcs_bucket}/**"
+    request = discoveryengine.ImportDocumentsRequest(
+        # 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.
+        gcs_source=discoveryengine.GcsSource(
+            input_uris=[gcs_uri], data_schema="content"
+        ),
+        reconciliation_mode=discoveryengine.ImportDocumentsRequest.ReconciliationMode.FULL,
+    )
+    operation = client.import_documents(request=request)
+    print(
+        "Successfully started full sync import operation."
+        f"Operation Name: {operation.operation.name}"
+    )
+    return True
+
+  except GoogleAPICallError as e:
+    print(f"[ERROR] Error triggering import: {e}", file=sys.stderr)
+    return False
+
+
+def main():
+  # Check required environment variables.
+  if not GOOGLE_CLOUD_PROJECT:
+    print(
+        "[ERROR] GOOGLE_CLOUD_PROJECT environment variable not set. Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+  if not GCS_BUCKET_NAME:
+    print(
+        "[ERROR] GCS_BUCKET_NAME environment variable not set. Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+  if not VERTEXAI_DATASTORE_ID:
+    print(
+        "[ERROR] VERTEXAI_DATASTORE_ID environment variable not set."
+        " Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+  if not ADK_DOCS_ROOT_PATH:
+    print(
+        "[ERROR] ADK_DOCS_ROOT_PATH environment variable not set. Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+  if not ADK_PYTHON_ROOT_PATH:
+    print(
+        "[ERROR] ADK_PYTHON_ROOT_PATH environment variable not set. Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+
+  for gcs_prefix in GCS_PREFIX_TO_ROOT_PATH:
+    # 1. Cleanup the GSC for a clean start.
+    if not cleanup_gcs_prefix(
+        GOOGLE_CLOUD_PROJECT, GCS_BUCKET_NAME, gcs_prefix
+    ):
+      print("[ERROR] Failed to clean up GCS. Exiting...", file=sys.stderr)
+      return 1
+
+    # 2. Upload the docs to GCS.
+    if not upload_directory_to_gcs(
+        GCS_PREFIX_TO_ROOT_PATH[gcs_prefix],
+        GOOGLE_CLOUD_PROJECT,
+        GCS_BUCKET_NAME,
+        gcs_prefix,
+    ):
+      print("[ERROR] Failed to upload docs to GCS. Exiting...", file=sys.stderr)
+      return 1
+
+  # 3. Import the docs from GCS to Vertex AI Search.
+  if not import_from_gcs_to_vertex_ai(VERTEXAI_DATASTORE_ID, GCS_BUCKET_NAME):
+    print(
+        "[ERROR] Failed to import docs from GCS to Vertex AI Search."
+        " Exiting...",
+        file=sys.stderr,
+    )
+    return 1
+
+  print("--- Sync task has been successfully initiated ---")
+  return 0
+
+
+if __name__ == "__main__":
+  sys.exit(main())

contributing/samples/adk_pr_agent/main.py

@@ -20,7 +20,7 @@ import time
 import agent
 from google.adk.agents.run_config import RunConfig
 from google.adk.runners import InMemoryRunner
-from google.adk.sessions import Session
+from google.adk.sessions.session import Session
 from google.genai import types