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142 Commits

Author SHA1 Message Date
Shangjie Chen 97cf724f14 chore: Release ADK 1.14.0
PiperOrigin-RevId: 805506354
2025-09-10 14:04:22 -07:00
Ankur Sharma e88e667770 feat: Data model for Rubric based metric and eval config
Details:
- We plan on introducing Rubric based metrics in subsequent changes. This change introduces the data model needed that allows agent developer to provide rubrics.

- We also introduce a data model for the config that the eval system has been using for quite some time. It was loosely and informally described as a dictionary of metric names and expected thresholds. In this change, we actually formalize it using a pydantic data model, and extend it allow developers to specify rubrics as a part of their eval config.

What is a rubric based metric?
A rubric based metric is the assessment of a Agent's response (final or intermediate) along some rubric. This evaluation of agent's response significantly differs from the strategy where one has to provide a golden response.

PiperOrigin-RevId: 805488436
2025-09-10 13:20:07 -07:00
George Weale 37228beddd fix: Enable saving input blobs as artifacts in ADK web server for issue #2176
The `run_config` for `run_agent` now includes `save_input_blobs_as_artifacts=True`.

PiperOrigin-RevId: 805472895
2025-09-10 12:39:42 -07:00
Xuan Yang 957dc628ab chore: set up Github workflow for ADK release analyzer for doc updates
PiperOrigin-RevId: 805434018
2025-09-10 11:02:59 -07:00
Hangfei Lin 7148e0e82e test: Add tests for Runner initialization constraints
These tests verify that `ValueError` is raised when `Runner` is initialized without providing either an `app` instance or both `app_name` and `agent`.

PiperOrigin-RevId: 805427256
2025-09-10 10:48:33 -07:00
Google Team Member 0935a40011 feat: Add Bigquery Forecast tool
This tool answers questions about structured data in BigQuery using natural language.

PiperOrigin-RevId: 805414952
2025-09-10 10:20:47 -07:00
Xuan Yang 3b428ec81f chore: let adk-bot respond to discussion when it is tagged
PiperOrigin-RevId: 805406204
2025-09-10 10:02:23 -07:00
GenkiNoguchi 5cda37adb3 chore: fix typos in multiple files
Merge https://github.com/google/adk-python/pull/2864

**Reason for this change:**

  Multiple typos were found in comments, docstrings, and code throughout the codebase, which could lead to confusion and reduce code readability.

  **Changes made:**

  Fixed the following typos across 8 files:

  1. contributing/samples/adk_answering_agent/utils.py:130: "extention" → "extension"
  2. llms-full.txt:15171: "fuction" → "function"
  3. src/google/adk/a2a/converters/part_converter.py:
    - Line 96: "Conver" → "Convert", "reponse" → "response"
    - Line 99: "suervice" → "service"
    - Line 100: "accordinlgy" → "accordingly"
    - Line 191: "Conver" → "Convert", "reponse" → "response"
    - Line 195: "accordinlgy" → "accordingly"
  4. src/google/adk/agents/base_agent.py:568: "custome" → "custom"
  5. src/google/adk/evaluation/agent_evaluator.py:572: "Retruns" → "Returns"
  6. src/google/adk/flows/llm_flows/basic.py:55: "outoput_schema" → "output_schema"
  7. src/google/adk/flows/llm_flows/contents.py:136: "fuction_response" → "function_response"
  8. src/google/adk/models/google_llm.py:138: "gemini_llm_connecton.py" → "gemini_llm_connection.py"

  **Impact:**

  This change will:
  - Improve code documentation clarity and professionalism
  - Make comments, docstrings, and code more readable and accurate
  - Help prevent confusion for developers reading the code
  - Ensure consistency in terminology throughout the codebase

  This is a non-breaking change that only affects comments, documentation strings, and improves code clarity.

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2864 from ammmr:chore-fix-typos 3cea9fcf6f21edb006b63e9258d2b82930dd961d
PiperOrigin-RevId: 805227784
2025-09-10 00:08:15 -07:00
Google Team Member 3e6d91f9e2 docs: Update description of task_completed function in SequentialAgent
PiperOrigin-RevId: 805223251
2025-09-09 23:53:14 -07:00
Xuan Yang 8132d3b621 chore: add instructions for the ADK release analyzer agent to sort the recommended changes and recommend API reference changes
PiperOrigin-RevId: 805099909
2025-09-09 16:07:28 -07:00
Xiang (Sean) Zhou 43c96811da ci: Fix discussion answering github action workflow to escape the quote in the discussion content JSON
PiperOrigin-RevId: 805091905
2025-09-09 15:42:34 -07:00
Xuan Yang e3422c616d chore: create an initial ADK release analyzer agent to find the doc updates needed between releases
PiperOrigin-RevId: 805030050
2025-09-09 13:00:05 -07:00
Hangfei Lin 8174a29c6d chore: update contribution guide
PiperOrigin-RevId: 804985449
2025-09-09 11:09:40 -07:00
Google Team Member a645580aa6 ADK changes
PiperOrigin-RevId: 804937691
2025-09-09 09:11:08 -07:00
Xuan Yang 78eea1aa55 chore: skip PR triage for already triaged or Google-contributor PRs
The `agent-triage-pull-request` job will now only run if the pull request does not have the 'bot triaged' or 'google-contributor' labels, avoiding redundant and unnecessary triage actions.

PiperOrigin-RevId: 804732073
2025-09-08 22:20:19 -07:00
Google Team Member fa55354a1a feat: Update to ADK + A2A Remote Client to use A2A SDK ClientFactory
Use the A2A Python SDK for client support for A2A Remote clients. This enables A2A based agents that use gRPC or RESTful interfaces, as well as the jsonrpc support. This also simplifies creation of clients and provides simpler mechanisms to inject credentials and observability into the remote agent interactions.

PiperOrigin-RevId: 804711466
2025-09-08 21:03:27 -07:00
Google Team Member 64f11a6a67 chore: Avoid mutable default arguments in local_eval_service and runners
Changed default values for `session_service`, `artifact_service`, and `run_config` from instances of mutable classes to `None`. Instances are now created within the function body if the argument is not provided, preventing unexpected shared state across function calls.

PiperOrigin-RevId: 804624564
2025-09-08 16:11:24 -07:00
George Weale d56dd08072 fix: Enable saving input blobs as artifacts in ADK web server for issue #2176
The `run_config` for `run_agent` now includes `save_input_blobs_as_artifacts=True`.

PiperOrigin-RevId: 804589111
2025-09-08 14:30:03 -07:00
Shangjie Chen 8452d2bcba feat: Allow function tool to pass in a callable to decide whether it need confirmation
PiperOrigin-RevId: 804583437
2025-09-08 14:16:59 -07:00
George Weale 43eec82f84 fix: Add a NOTE to agent transfer instructions listing available agents
The system instructions for agent transfer now include a NOTE section that lists all agents available for the `transfer_to_agent` function. This also has the target agents and, if there is one that applies, the parent agent. New unit tests are added to verify the correct generation of this NOTE.

PiperOrigin-RevId: 804569691
2025-09-08 13:43:38 -07:00
George Weale 5b465fd71b chore: Avoid mutable default arguments in local_eval_service and runners
Changed default values for `session_service`, `artifact_service`, and `run_config` from instances of mutable classes to `None`. Instances are now created within the function body if the argument is not provided, preventing unexpected shared state across function calls.

PiperOrigin-RevId: 804560641
2025-09-08 13:21:05 -07:00
George Weale ca5f7f1ff0 chore: Reorder dependencies in pyproject.toml
PiperOrigin-RevId: 804559734
2025-09-08 13:18:41 -07:00
Yujun Zou 467df1a36f docs: Update root_agent description for clarity
Update description as: Coordinator agent to greet users.

PiperOrigin-RevId: 804553925
2025-09-08 13:01:47 -07:00
Google Team Member 72ff9c64a2 feat: Add GkeCodeExecutor for sandboxed code execution on GKE #non-breaking
Merge https://github.com/google/adk-python/pull/1629

close https://github.com/google/adk-python/issues/2170

### Summary

This PR introduces `GkeCodeExecutor`, a new code executor that provides a secure and scalable method for running LLM-generated code by leveraging GKE Sandbox. It serves as a robust alternative to local or standard containerized executors by leveraging the **GKE Sandbox** environment, which uses gVisor for workload isolation.

For each code execution request, it dynamically creates an ephemeral Kubernetes Job with a hardened Pod configuration, offering significant security benefits and ensuring that each code execution runs in a clean, isolated environment.

### Key Features of GkeCodeExecutor

* **Dynamic Job Creation**: Uses the Kubernetes `batch/v1` API to create a new Job for each code snippet.
* **Secure Code Mounting**: Injects code into the Pod via a temporary `ConfigMap`, which is mounted to a read-only file.
* **gVisor Sandboxing**: Enforces execution within a `gvisor` runtime for kernel-level isolation.
* **Hardened Security Context**: Pods run as non-root with all Linux capabilities dropped and a read-only root filesystem.
* **Resource Management**: Applies configurable CPU and memory limits to prevent abuse.
* **Automatic Cleanup**: Uses the `ttl_seconds_after_finished` feature on Jobs for robust, automatic garbage collection of completed Pods and Jobs.
* **Node Scheduling**: The executor uses Kubernetes `tolerations` in its Pod specification. This allows the k8s scheduler to place the execution Pod onto a **_pre-configured_** gVisor-enabled node.
* **Module Integration**: The `GkeCodeExecutor` is registered in the `code_executors/__init__.py`, making it available for use by agents. The `ImportError` handling is configured to check for the required `kubernetes` SDK.

### Execution Flow:

1.  Agent invokes `GkeCodeExecutor` with the LLM-generated code.
2.  The `GkeCodeExecutor` will `execute_code` – creates a temporary `ConfigMap`, and then create a k8s `Job` to run it.
3.  This Job runs a standard `python:3.11-slim` container. The image is pulled once to the node and cached. The Job will mount the ConfigMap as `/app/code.py`
4.  The GkeCodeExecutor will monitor the Job to completion, fetch `stdout/stderr` logs from the container, return `CodeExecutionResult` to the LlmAgent, and ensure all temp resources are deleted.
5.  The calling agent formats the result and provides a final response to the user. If the result contains error, it will retry up to `error_retry_attempts` times.

PiperOrigin-RevId: 804511467
2025-09-08 11:15:29 -07:00
Shangjie Chen e63fe0c0eb fix: Fix pagination of list_sessions in VertexAiSessionService
Resolves https://github.com/google/adk-python/issues/2860

PiperOrigin-RevId: 804511401
2025-09-08 11:14:32 -07:00
Max Ind bc6b5462a7 test: add functional telemetry tests
This includes:
- Test verifying multiple spans are written during E2E runner execution.
- Regression tests for the "ContextVar was created in a different Context" exceptions caused by the interplay of context based instrumentation and async generators getting indeterminately suspended.

PiperOrigin-RevId: 804333483
2025-09-08 02:23:10 -07:00
George Weale 1e23652968 fix: AttributeError and indentation in parameter processing. For issue #2776 and issue #2763
PiperOrigin-RevId: 804222317
2025-09-07 18:37:42 -07:00
Google Team Member 1979dcf496 fix: Allow AgentTool to inherit/use plugins from its invocation context when running
PiperOrigin-RevId: 803656189
2025-09-05 17:09:04 -07:00
Hangfei Lin fc90ce968f test: Add unit tests for the App class and improve Runner initialization tests
-   Added `tests/unittests/apps/test_apps.py` with basic tests for `App` initialization.
-   Modified `tests/unittests/test_runners.py` to include a test that verifies `Runner` raises a `ValueError` when both `app` and `app_name` are provided during initialization.

PiperOrigin-RevId: 803556826
2025-09-05 12:16:38 -07:00
Hangfei Lin decc19b188 chore: Update release cadence in README
The release cadence is now described as "roughly bi-weekly" instead of "weekly".

PiperOrigin-RevId: 803528472
2025-09-05 11:03:05 -07:00
Xiang (Sean) Zhou 25df6c22d5 chore: Tune instructions to not ask root directory if it's already provided in the context
PiperOrigin-RevId: 803512675
2025-09-05 10:23:34 -07:00
Google Team Member 45c1fcc84f feat: disallow setting non-existent properties in BigQuery tools and credentials config
This will save the agent builder getting wrong impression if by mistake they set a property that does not exist.

PiperOrigin-RevId: 803208559
2025-09-04 15:58:19 -07:00
Wei Sun (Jack) ebf2c98e41 feat(conformance): Adds a minimal AdkWebServer http client for conformance tests to interact with
PiperOrigin-RevId: 803208215
2025-09-04 15:56:53 -07:00
Hangfei Lin 7b077ac351 chore: Add community repo dependency group to pyproject toml
PiperOrigin-RevId: 803191617
2025-09-04 15:11:09 -07:00
Google Team Member b05fef9ba7 feat: Allow custom part converters in A2A classes
This change introduces type descriptions for the functions which convert between A2A and GenAI `Part`s. It then allows passing instances of those functions to the various A2A-related functions/classes, effectively allowing users to inject their own logic for how part conversion should occur.

The benefit of this pattern is that users can create decorators around the core `Part` conversion logic, which allows them to intercept the cases they care about while delegating the ones they do not to the core converter. This is a pattern we use a lot in the A2A Python SDK.

One example where this type of logic is useful is for extensions: this allows extension logic to, for example, interpret an A2A DataPart into a FunctionResponse using extension-specific logic.

PiperOrigin-RevId: 803186799
2025-09-04 14:57:15 -07:00
Hangfei Lin 4df79dd5c9 feat: Upgrade ADK stack to use App instead in addition to root_agent
The convention:
- If some fields(like plugin) are defined both at root_agent and app, then a error will be raised.
- app code should be located within agent.py.
- an instance named app should be created

PiperOrigin-RevId: 803155804
2025-09-04 13:38:00 -07:00
Wei Sun (Jack) 14484065c6 chore: Follow pydantic convention to make field_validator a public method
PiperOrigin-RevId: 802861986
2025-09-03 22:36:25 -07:00
Che Liu 7720616c5f chore: Update comment to clarify after_run callbacks
PiperOrigin-RevId: 802852137
2025-09-03 22:01:27 -07:00
Shangjie Chen cecf7e805d fix: Support saving text artifacts in GCS artifact service
Resolves https://github.com/google/adk-python/issues/2775

PiperOrigin-RevId: 802850139
2025-09-03 21:55:07 -07:00
Mark Scannell edda922791 feat: add audience and prompt as configurable for OAuth flows
Merge https://github.com/google/adk-python/pull/2738

Some OAuth servers require audience such as [Jira](https://developer.atlassian.com/cloud/confluence/oauth-2-3lo-apps/). This change allows the configuration of audience and prompt (if it needs to be changed) and adds some tests.

This is for issue [2755](https://github.com/google/adk-python/issues/2755).

Resolves #2755

Happy to provide changes/updates if needed.

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2738 from mescanne:oauth-audience-prompt 87ce1100792d9156ada2a004bcfaf2fe5fc69602
PiperOrigin-RevId: 802850034
2025-09-03 21:53:54 -07:00
Xiang (Sean) Zhou a1679dae3f feat: Allow users to pass their own agent card to to_a2a method
PiperOrigin-RevId: 802763510
2025-09-03 16:54:33 -07:00
Wei Sun (Jack) a30851ee16 fix: Fixes thought handling in contents.py and refactors its unit tests
Before this change, other agent's reply with thought will still be inserted in the outgoing LlmRequest due to the wrong `else` statement for calling all other type of part.

This commit also refactors test_contents.py to be behavior-oriented tests, instead of implementation-oriented, and add more test cases to cover expected scenarios.

The tests are divided into the following files with different focus:

- test_contents.py: covers the basic logic of event filter;
- test_contents_branch.py: covers the behavior related to branch, which takes effect when ParallelAgent is used.
- test_contents_other_agent.py: covers the retelling behavior to include other agents' reply as context for the current agent.
- test_contents_function.py: covers the function_call/function_response rearrangement logic mainly for `LongRunningFunctionTool`.

PiperOrigin-RevId: 802759821
2025-09-03 16:42:20 -07:00
Wei Sun (Jack) fe8b37b0d3 fix(planner): Fixes the thought field handling in _planning.py
Before this change: `thought` flags was incorrectly removed if the current agent enables BuiltInPlanner.

After this change:

- When it's BuiltInPlanner, keep the thought flag in content history, so that model has full context of its previous thinking.
- When it's PlanReactPlanner, removes the `thought` flag in content history, so that model sees as-is when the content was generated.

PiperOrigin-RevId: 802737130
2025-09-03 15:41:29 -07:00
Xiang (Sean) Zhou 578fad7034 feat: Allow agent loader to load built-in agents from special directories in adk folder
PiperOrigin-RevId: 802716848
2025-09-03 14:48:22 -07:00
pguerra-ce a3410fab7b fix: Pass state_delta to runner in /run endpoint
Merge https://github.com/google/adk-python/pull/2791

Fixes #2789

## Summary
Forward `state_delta` from the FastAPI `/run` request to `Runner.run_async(...)`, aligning behavior with the documented
API and the `/run_sse` endpoint.

## Why
The documentation for `/run` explicitly includes:
> `state_delta` (object, optional): A delta of the state to apply before the run.

However, the non‑SSE `/run` handler did not pass this value through, so `Runner.run_async` always received `None`. The
`/run_sse` path already forwarded it correctly.

## Changes
- `src/google/adk/cli/adk_web_server.py`
    - Add `state_delta=req.state_delta` to the "/run" handler’s `runner.run_async(...)` call.
- `tests/unittests/cli/test_fast_api.py`
    - Add `test_agent_run_passes_state_delta` to test the fix.

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2791 from pguerra-ce:fix-state-delta-missing-in-run 83eec8d28b80757e24ae900285eb59530863adbd
PiperOrigin-RevId: 802703072
2025-09-03 14:13:19 -07:00
Xiang (Sean) Zhou b4310727d9 chore: Use lazy % formatting in logging functions to fix pylint warnings
PiperOrigin-RevId: 802639682
2025-09-03 11:35:49 -07:00
Xiang (Sean) Zhou 66cc98801a chore: Adjust the instruction of agent builder assistant for how to use google_search tool and url_context tool
PiperOrigin-RevId: 802629718
2025-09-03 11:14:45 -07:00
Google Team Member 49acad1252 ADK changes
PiperOrigin-RevId: 802455693
2025-09-03 01:50:08 -07:00
Alejandro Cruzado-Ruiz 455dcbda4c ADK changes
PiperOrigin-RevId: 802410800
2025-09-02 22:52:51 -07:00
Shangjie Chen fb009d8ea6 fix: Add custom_metadata to DatabaseSessionService
Resolve https://github.com/google/adk-python/issues/2677

PiperOrigin-RevId: 802375768
2025-09-02 20:09:46 -07:00
Google Team Member aad153322e docs: update the ask_data_insights docstring
PiperOrigin-RevId: 802362601
2025-09-02 19:21:04 -07:00
Shangjie Chen 219815d2d7 chore: Update create_session endpoint to use Request message as post body
Also deprecate create_session_with_id which is not very RESTful.

PiperOrigin-RevId: 802357718
2025-09-02 18:56:45 -07:00
Xiang (Sean) Zhou a503a0c807 ci: Load discussion data from event content to avoid additional GraphQL API call
PiperOrigin-RevId: 802308383
2025-09-02 15:22:17 -07:00
Xiang (Sean) Zhou 408d3dfeb1 chore: refactor discussion answering agent to merge answer_discussions.py into main.py
mainly to dedup duplicated functionality in both file.

PiperOrigin-RevId: 802291102
2025-09-02 14:25:32 -07:00
Google Team Member 831e2e6d4d ADK changes
PiperOrigin-RevId: 801284664
2025-08-30 11:08:43 -07:00
Hangfei Lin dff733c6fc feat: Upgrade ADK stack to use App instead in addition to root_agent
The convention:
- If some fields(like plugin) are defined both at root_agent and app, then a error will be raised.
- app code should be located within agent.py.
- an instance named app should be created

PiperOrigin-RevId: 801252329
2025-08-30 08:01:53 -07:00
Xiang (Sean) Zhou 67f23df25a feat: Allow user specify embedding model for file retrieval
And use Gemini embedding model as default model if no embedding model is specified.

PiperOrigin-RevId: 801161505
2025-08-29 23:35:25 -07:00
Shangjie Chen 0c87907bcb fix: Enforce foreign key constraint for SQLite DB
Resolves https://github.com/google/adk-python/issues/2752

PiperOrigin-RevId: 801106660
2025-08-29 19:07:22 -07:00
Google Team Member 214f2884f5 feat: Upgrade ADK stack to use App instead in addition to root_agent
The convention:
- If some fields(like plugin) are defined both at root_agent and app, then a error will be raised.
- app code should be located within agent.py.
- an instance named app should be created

PiperOrigin-RevId: 801103084
2025-08-29 18:49:04 -07:00
Hangfei Lin a2e89a22a5 feat: Upgrade ADK stack to use App instead in addition to root_agent
The convention:
- If some fields(like plugin) are defined both at root_agent and app, then a error will be raised.
- app code should be located within agent.py.
- an instance named app should be created

PiperOrigin-RevId: 801084463
2025-08-29 17:33:38 -07:00
Xiang (Sean) Zhou 98b0426cd2 chore: Make UT of a2a consistent about how tests should be skipped when python verison < 3.10
PiperOrigin-RevId: 801040421
2025-08-29 14:59:27 -07:00
Google Team Member 2eddc5e4d3 feat: allow setting compute project for BigQuery tools
This will allow restricting BigQuery SQL executions to the specified project. The agent/LLM should resolve the `project_id` param for tools like `execute_sql` and sometimes they can resolve it to an unexpected value due to hallucination or ambiguity. This guardrail will protect against that situation.

PiperOrigin-RevId: 801039685
2025-08-29 14:56:47 -07:00
Shangjie Chen a17bcbb2aa feat: Add a tool confirmation flow that can guard tool execution with explicit confirmation and custom input
The existing `LongRunningTool` does not define a programmatic way to provide & validate structured input, also it relies on LLM to reason and parse the user's response.

For a quick start, annotate the function with `FunctionTool(my_function, require_confirmation=True)`. A more advanced flow is shown in the `human_tool_confirmation` sample.

The new flow is similar to the existing Auth flow:
- User request a tool confirmation by calling `tool_context.request_confirmation()` in the tool or `before_tool_callback`, or just using the `require_confirmation` shortcut in FunctionTool.
- User can provide custom validation logic before tool call proceeds.
- ADK creates corresponding RequestConfirmation FunctionCall Event to ask user for confirmation
- User needs to provide the expected tool confirmation to a RequestConfirmation FunctionResponse Event.
- ADK then checks the response and continues the tool call.

PiperOrigin-RevId: 801019917
2025-08-29 13:56:54 -07:00
Xiang (Sean) Zhou 3ed9097983 chore: Add initial version of agent builder assistant that assists user to build config based agent
PiperOrigin-RevId: 801014241
2025-08-29 13:42:31 -07:00
George Weale 9291daaa8e chore: Add warning for using Gemini models via LiteLLM
Recommend to use Gemini outside of LiteLLM

PiperOrigin-RevId: 800971705
2025-08-29 11:32:45 -07:00
Google Team Member fcd748e17f chore: add contributing Spanner tools RAG agent sample
PiperOrigin-RevId: 800938492
2025-08-29 10:00:43 -07:00
Xiang (Sean) Zhou bb4cfdec12 fix: inject artifact into instructions
a. complain when artifact is None
b. inject None value as empty string instead of `None`

PiperOrigin-RevId: 800930613
2025-08-29 09:38:01 -07:00
George Weale e45c3be238 fix: send full MIME types for image/video/pdf in get_content
Use full media types (image/jpeg, video/mp4, application/pdf) instead of suffixes (jpeg/mp4/pdf) when constructing LiteLLM payloads
This fxes compatibility with providers that validate media types (Anthropic)
Updated and added unit tests to assert full MIME types for image/video/pdf

PiperOrigin-RevId: 800685204
2025-08-28 18:02:18 -07:00
Google Team Member 11a2ffe35a feat: allow setting agent/application name for BigQuery tools
This will allow tracking of tool usage per agent/application.

PiperOrigin-RevId: 800607186
2025-08-28 14:10:01 -07:00
Jinning Li f4a8df0ba2 feat:Add tool_responses to IntermediateData
PiperOrigin-RevId: 800600571
2025-08-28 13:55:15 -07:00
Wei Sun (Jack) 8e43f0dd83 fix(deploy): Add back installing requirements.txt to Dockerfile template for cloud run
PiperOrigin-RevId: 800595427
2025-08-28 13:43:03 -07:00
Xiang (Sean) Zhou b92b288c97 chore: fix flaky unit tests: tests/unittests/flows/llm_flows/test_functions_simple.py
original tests assert too strict time boundary, now we only assert the parallel execution time should be less than sequential execution time

PiperOrigin-RevId: 800563929
2025-08-28 12:17:03 -07:00
Xiang (Sean) Zhou 8d6f138fbe chore: Update oauth calendar sample agent to test the case when a subsequent tool call happends right after a tool call that requires auth
context: this is for reproducing https://github.com/google/adk-python/issues/1944 and verify corresponding fix
PiperOrigin-RevId: 800561025
2025-08-28 12:10:43 -07:00
Xiang (Sean) Zhou 3b922a2f6d fix: Only process the auth responses in the last event with content (if applicable i.e. it's authored by user)
fixes : https://github.com/google/adk-python/issues/1944
PiperOrigin-RevId: 800560805
2025-08-28 12:09:21 -07:00
Google Team Member 7975e8e196 refactor: Extract a utility for aggregating partial streaming responses and emitting LlmResponses for them as needed
PiperOrigin-RevId: 800521404
2025-08-28 10:29:14 -07:00
Wei Sun (Jack) 3bc2d77b4d chore(config): Reimplements AgentConfig with pydantic v2 convention and allow all possible values for agent_class field in all Agent Configs
All below are valid values now.

```
agent_class: LlmAgent
agent_class: google.adk.agents.LlmAgent
agent_class: google.adk.agents.llm_agent.LlmAgent
```
PiperOrigin-RevId: 800228114
2025-08-27 17:07:53 -07:00
Yifan Wang f743c29d00 chore: Bump version number to 1.13.0
PiperOrigin-RevId: 800210332
2025-08-27 16:09:42 -07:00
Yeesian Ng 69eb2b50c5 feat: Add --agent_engine_config_file option to adk deploy agent_engine
PiperOrigin-RevId: 800171071
2025-08-27 14:19:43 -07:00
Wei Sun (Jack) 2dd432cc1f fix: add the missing from_config class method in BaseToolset
PiperOrigin-RevId: 799893557
2025-08-26 23:48:05 -07:00
Hangfei Lin 3b997a0a07 fix: change LlmResponse to use Content for transcriptions
The transcription change breaks the multi-agent transfer during live/bidi.

Updates `GeminiLlmConnection` to populate the `content` field of `LlmResponse` with `types.Content` and `types.Part` objects for both input and output transcriptions, instead of using dedicated transcription fields. Also removes a debug print from `audio_cache_manager.py`.

the transcription is not fully ready to be used yet so roll back the transcription change.

PiperOrigin-RevId: 799851950
2025-08-26 21:12:59 -07:00
Google Team Member bcf0dda8bc fix: AgentTool returns last content, instead of the content in the last event
This fixes the issue when inner agent has after_agent_callback updating state only, AgentTool will always return empty.

PiperOrigin-RevId: 799814933
2025-08-26 19:15:23 -07:00
Wei Sun (Jack) 4c70606129 chore: Renames MCPTool and MCPToolset to McpTool and McpToolset
- Keep original class names for backward-compatibility.
- Log warning if user instantiate the classes with original names.
- New names are more aligned with MCP SDKs convention.

PiperOrigin-RevId: 799777320
2025-08-26 17:02:41 -07:00
Ankur Sharma 216cb7aec0 fix: Update routes for run_eval, get_eval_result, list_eval_results and list_metrics_info
PiperOrigin-RevId: 799718430
2025-08-26 14:27:00 -07:00
Mofi Rahman ad81aa54de fix: Fix adk deploy docker file permission
Merge https://github.com/google/adk-python/pull/2563

Currently in adk deploy cloud_run or gke, the dockerfile copies the agent code after the file permission is set. This can lead to file permission not being set correctly for the container to open and read the file.

This PR will make sure the files are copied with the permission of the user that is set in the container.

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2563 from moficodes:deploy-docker d7f6df4d893af75b360e6d96ffd2640ce6076ca2
PiperOrigin-RevId: 799371070
2025-08-25 20:03:37 -07:00
Google Team Member 47b88d2b06 feat: Add the ask_data_insights tool for natural language queries on BigQuery data
PiperOrigin-RevId: 799267061
2025-08-25 14:23:10 -07:00
Jack Wotherspoon 6806deaf88 feat: passthrough extra args for adk deploy cloud_run as Cloud Run args
Merge https://github.com/google/adk-python/pull/2544

The command `adk deploy cloud_run` supports limited `gcloud run deploy` args 😢.

Which makes the command fine for simple deployments...

It should support all current and future Cloud Run deployment args for the command to be widely adopted.

This can easily be done by passing through all extra args passed to `adk deploy cloud_run` to gcloud...

This PR assumes any extra args/flags passed after `AGENT_PATH` are gcloud flags.

## Example

```sh
# ADK flags
adk deploy cloud_run \
--project=$GOOGLE_CLOUD_PROJECT \
--region=$GOOGLE_CLOUD_LOCATION \
$AGENT_PATH \
# Use the -- separator for gcloud args
-- \
--min-instances=2 \
--no-allow-unauthenticated
```

This gives full Cloud Run feature support to ADK users 🤖 🚀

## Test Plan

To test you can just build locally or pip install feature branch directly:

```
uv venv
uv pip install git+https://github.com/jackwotherspoon/adk-python.git
```

Deploy to Cloud Run using additional arguments following `AGENT_PATH`, such as `--min-instance=2` or `--description="Cloud Run test"`:

```sh
uv run adk deploy cloud_run \
--project=$GOOGLE_CLOUD_PROJECT \
--region=$GOOGLE_CLOUD_LOCATION \
--with_ui \
$AGENT_PATH \
-- \
--labels=test-label=adk \
--min-instances=2
```

You can click on the Cloud Run service after deployment and check the service yaml, you should see the additional label etc.

<img width="1612" height="622" alt="image" src="https://github.com/user-attachments/assets/596a260a-0052-460b-9642-c18900ccf7c9" />

Fixes https://github.com/google/adk-python/issues/2351

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2544 from jackwotherspoon:main 184a4d73f8dbe6f565ff92cf1c1fe69bb163de5e
PiperOrigin-RevId: 799252544
2025-08-25 13:45:21 -07:00
Wei Sun (Jack) 2b2f0b52d8 chore: Fixes a2a tests for python 3.9
A more common approach is to just skip entire module in pytest.

PiperOrigin-RevId: 799164877
2025-08-25 10:03:19 -07:00
Wei Sun (Jack) 0eb65c07d5 chore: Ignore hidden files in autoformat.sh
PiperOrigin-RevId: 798490378
2025-08-23 00:38:42 -07:00
akshaypachpute-1998 0b89f1882d chore: replaced hard coded value for user_id to the value from the tool context from parent agent. Fixes google/adk-python#2407
Merge https://github.com/google/adk-python/pull/2409

Description:

This PR Fixes: #2407

The AgentTool in /google/adk/tools/agent_tool.py uses a hardcoded user_id='tmp_user' when creating a new session for the agent it wraps. This happens within the run_async method.

code snippet
... @override async def run_async( self, *, args: dict[str, Any], tool_context: ToolContext, ) -> Any: ... session = await runner.session_service.create_session( app_name=self.agent.name, user_id='tmp_user',  # <-- This is hardcoded state=tool_context.state.to_dict(), ) ...

Why is this a problem?
This hardcoding breaks the chain of user identity. When a parent agent calls a sub-agent via the AgentTool, the original user_id is lost. Any tool or logic inside the sub-agent that needs to perform user-specific actions (e.g., accessing user data from a database, retrieving user-specific memory, checking permissions) will fail or operate on the wrong context because it receives 'tmp_user' instead of the actual user's ID.

Impact:
This prevents the creation of robust, multi-agent applications where user context must be maintained across different agents and tools. It limits the utility of AgentTool to only stateless sub-agents that do not require user-specific information.

Suggested Fix:
The user_id should be retrieved from the parent context, which is available via the tool_context parameter passed into run_async. The create_session call should be updated to use the dynamic user_id from the parent session.For example, the fix might involve accessing the user ID from the tool_context.

code-snippet
session = await runner.session_service.create_session( app_name=self.agent.name, user_id=tool_context._invocation_context.user_id, state=tool_context.state.to_dict(), )

To Reproduce
Steps to reproduce the behavior:
To reproduce this bug, we need to set up a two-agent system: a ParentAgent that calls a ChildAgent using the AgentTool. The ChildAgent will have a tool designed to simply return the user_id it receives from its context.

Expected behavior
It should return the user_id of the user calling the agent,

but, in current situation we are getting tmp_user

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2409 from akshaypachpute-1998:fix-issue-2407-agent-tool-context-propogation 0c3e8656fdf11386e3ab13a3a1f2df99a396dbd1
PiperOrigin-RevId: 798315832
2025-08-22 13:10:07 -07:00
Xiang (Sean) Zhou 124fee64e5 chore: Remove unnecessary import in runners
PiperOrigin-RevId: 798285019
2025-08-22 11:38:37 -07:00
Wei Sun (Jack) a360bc2542 docs: Clean up docs in sample
PiperOrigin-RevId: 798284758
2025-08-22 11:36:58 -07:00
Ankur Sharma 75ba9689e3 fix: Update routes for list_eval_sets, add_session_to_eval_set, get_eval, update_eval and delete_eval
PiperOrigin-RevId: 798241789
2025-08-22 09:41:59 -07:00
Wei Sun (Jack) 2c088acc9b docs: Fixes root_agent.yaml in tool_mcp_stdio_notion_config for Agent Config sample and add README.md
PiperOrigin-RevId: 798241478
2025-08-22 09:40:31 -07:00
rcsantana777 7fe60641e3 feat: Add custom User-Agent header to RestApiTool requests
Merge https://github.com/google/adk-python/pull/2641

This PR adds a custom `User-Agent` header to all requests made via `RestApiTool`. This allows backend services to identify traffic originating from the ADK. The header format is `google-adk/<version> (tool: <tool_name>)`, where `<version>` is the current version of the `google-adk` package, fetched dynamically from `google.adk.version`, and `<tool_name>` is the name of the specific `RestApiTool` instance.

**Associated Issue**

Fixes #2676

**Testing Plan**

**Unit Tests**

I ran the full suite of unit tests locally to ensure the changes did not introduce any regressions. All tests passed successfully.
```bash
$ pytest ./tests/unittests
================================= 4202 passed, 2459 warnings in 44.68s ====================
```
The warnings are related to existing experimental features and are not affected by this change.

**Manual End-to-End (E2E) Test**

I performed a manual test to ensure the integrated flow works as expected.

*   **Setup:** Created a clean virtual environment (`~/venvs/adk-e2e-test`) and installed the locally built `google-adk` package using `uv venv --seed` and `pip install dist/google_adk-*.whl`. Ran a custom `mock_server.py` script (using Flask) in one terminal to listen for requests and print headers. Ran a custom `run_test_tool.py` script in a second terminal to send a request using the modified `RestApiTool`.

*   **Execution:** The `run_test_tool.py` script successfully sent a POST request to the mock server's `/test` endpoint. The mock server received the request and printed the headers.

    **`run_test_tool.py` Output:**
    ```json
    {
      "message": "Request received successfully!"
    }
    ```

    **`mock_server.py` Output (Headers):**
    ```text
    --- Request Received ---
    Headers:
      Host: 127.0.0.1:8000
      User-Agent: google-adk/1.12.0 (tool: TestTool)
      Accept-Encoding: gzip, deflate
      Accept: */*
      Connection: keep-alive
      Content-Type: application/json
      Content-Length: 2
    ------------------------
    ```
    The `User-Agent: google-adk/1.12.0 (tool: TestTool)` header confirms the change is working as intended, dynamically fetching the package version and including the tool name.

**Checklist**

*   [x] Associated issue linked
*   [x] Unit tests passed
*   [x] End-to-end test performed and results documented
*   [x] Code formatted with `./autoformat.sh`

---

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2641 from rcsantana777:feat/add-user-agent a9a9375306c18bb7ba501276cbf76693e70a87ad
PiperOrigin-RevId: 798232385
2025-08-22 09:11:16 -07:00
Xiang (Sean) Zhou 395a50b5dc chore: add triaging instructions for mcp
PiperOrigin-RevId: 798017380
2025-08-21 20:06:51 -07:00
Hangfei Lin ddb070ff07 feat: Add support for store audio and transcription into events/sessions and artifacts
PiperOrigin-RevId: 798011660
2025-08-21 19:50:26 -07:00
Ankur Sharma f660180854 fix: Update create_eval_set API to return the created EvalSet and it route
PiperOrigin-RevId: 797974571
2025-08-21 17:13:46 -07:00
Xiang (Sean) Zhou 157f73181d feat: Allow user to specify protocol for A2A RPC URL in to_a2a utility
this fixes https://github.com/google/adk-python/issues/2405

PiperOrigin-RevId: 797958771
2025-08-21 16:26:57 -07:00
Joe Fernandez ccab076ace docs: Add What's new section to README.md
Merge https://github.com/google/adk-python/pull/2668

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2668 from joefernandez:patch-1 7bc04963755af76fe289d1855341553057348a55
PiperOrigin-RevId: 797958558
2025-08-21 16:25:30 -07:00
Wei Sun (Jack) 80d188199b chore: Fixes a few lint error for tools
PiperOrigin-RevId: 797945021
2025-08-21 15:49:21 -07:00
Google Team Member 29bb75f975 fix: updating BaseAgent.clone() and LlmAgent.clone() to properly clone fields that are lists
PiperOrigin-RevId: 797855214
2025-08-21 11:52:31 -07:00
Google Team Member 167182be01 fix: make tool description for bigquery execute_sql for various write modes self contained
So far we had a default docstring for the `execute-sql` tool and for non-default write modes we were concatenating more content to it. This was working fine in Python 3.9-3.12 but broke in Python 3.13 because of a nuanced difference in the string concatenation to the `__doc__` property of a function b/433914562#comment4. This change makes the docstring management more robust and readable.

PiperOrigin-RevId: 797843736
2025-08-21 11:26:19 -07:00
Xiang (Sean) Zhou 3f3aa7b32d fix: Set invocation_id and branch for event generated when both output_schema and tools are used
fixes https://github.com/google/adk-python/issues/2631

PiperOrigin-RevId: 797843460
2025-08-21 11:24:43 -07:00
Kacper Jawoszek 826f554789 fix: rework parallel_agent.py to always aclose async generators
See https://github.com/google/adk-python/issues/1670#issuecomment-3115891100

PiperOrigin-RevId: 797838268
2025-08-21 11:12:35 -07:00
Kacper Jawoszek 9645cee3a6 chore: add test for parallel agent to verify correct handling of exceptions
PiperOrigin-RevId: 797825924
2025-08-21 10:43:16 -07:00
Kacper Jawoszek 70f50db653 chore: add test for parallel agent to verify correct ordering of agents
PiperOrigin-RevId: 797817063
2025-08-21 10:21:37 -07:00
Google Team Member 81a53b53d6 fix: add table metadata info into Spanner tool get_table_schema and fix the key usage info
This can help to provide more context and information about the table, like parent-child relationship, and row deletion policy etc.

PiperOrigin-RevId: 797562858
2025-08-20 19:30:52 -07:00
Xiang (Sean) Zhou 52a3d6cb8a chore: Bump version number to 1.12.0
PiperOrigin-RevId: 797542097
2025-08-20 18:07:13 -07:00
Wei Sun (Jack) 331978772a fix: Fixes deps in test extra dep
PiperOrigin-RevId: 797509357
2025-08-20 16:25:08 -07:00
Wei Sun (Jack) e93f861cde chore: Removes unused to_agent_config method in BaseAgentConfig
PiperOrigin-RevId: 797502656
2025-08-20 16:08:36 -07:00
Google Team Member 54ed079100 fix: Fix Spanner DatabaseSessionService support
Introduce `DynamicPickleType` to handle session actions, using sqlalchemy-spanner `SpannerPickleType` when the database dialect is Spanner.

Connects to a Spanner database to store session data persistently in tables.
# Example using Spanner database:
`session_service = DatabaseSessionService(db_url="spanner+spanner:///projects/project-id/instances/instance-id/databases/database-id")`

# Example adk web command:
`adk web --session_service_uri="spanner+spanner:///projects/project-id/instances/instance-id/databases/database-id"`

PiperOrigin-RevId: 797416610
2025-08-20 12:26:53 -07:00
Thiago Salvatore c144b5347c fix: Add support for required params
Merge https://github.com/google/adk-python/pull/2212

This PR closes issue #2202

ADK was not parsing the required attribute when using LiteLLM, letting the LLM decide what is required vs not, not respecting function definitions.

## Test Plan

There's a fork of adk-python that is being running live for over 2 weeks in our production environment with millions of requests per day.

Below you can find a screenshot of the unit tests passing. I've also added one change to the test cases to cover this scenario

<img width="1904" height="483" alt="image" src="https://github.com/user-attachments/assets/5a6eb069-63ae-45a3-baca-6b01543f56fb" />

COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2212 from thiagosalvatore:main 7de4037d8016389313f3fb22df40c12bac578523
PiperOrigin-RevId: 797393698
2025-08-20 11:31:53 -07:00
Wei Sun (Jack) 5b999ed6fd chore: Uses pydantic Field for Agent configs, so that the generated AgentConfig.json json schema can carry field description
PiperOrigin-RevId: 797094012
2025-08-19 18:03:47 -07:00
George Weale bb8ebd15f9 chore: Update openai dependency version, based on correct OPENAI release
Bump the minimum required version of the `openai` package to `>=1.100.2` for compatibility with LiteLLM.

PiperOrigin-RevId: 797027214
2025-08-19 14:43:58 -07:00
Google Team Member fef5318a22 docs: add contributing bigtable sample
PiperOrigin-RevId: 797014958
2025-08-19 14:08:55 -07:00
Xiang (Sean) Zhou 018db79d13 fix: Lazy load VertexAiCodeExecutor and ContainerCodeExecutor
VertexAiCodeExecutor and ContainerCodeExecutor request additional dependencies, lazy load them so that when users import other names, they won't get impacted if they don't had those additional dependencies installed.
 Original codes swallow the exception and log a debug log is wrong and awkward, should follow the same style as what we did in https://github.com/google/adk-python/blob/main/src/google/adk/tools/retrieval/__init__.py

PiperOrigin-RevId: 796969332
2025-08-19 12:06:59 -07:00
Google Team Member 77ed1f5f15 feat: Add setdefault method to the ADK State object
This makes the ADK state more pythonic, with the State API being more like a python dict.

PiperOrigin-RevId: 796767559
2025-08-19 01:45:33 -07:00
George Weale 4afc9b2f33 feat: Add env var to suppress experimental warnings
Checked with local wheel and worked as intended. The harness shows suppression works: 0 warnings for all true-like values.

This CL adds ADK_DISABLE_EXPERIMENTAL_WARNING to let the users to suppress warning messages from features decorated with @experimental.

Previously, using experimental features would always trigger a UserWarning. This change creates a way to disable these warnings, which can be good to stop flooding logs.

The warning is suppressed if ADK_DISABLE_EXPERIMENTAL_WARNING is set to a truthy value such as "true", "1", "yes", or "on" (case-insensitive).

Added unit tests to make sure:
Warning suppression for functions and classes when the env var is set.
Case-insensitivity and various truthy values for the env var.
Loading the env var from a .env file.

PiperOrigin-RevId: 796649404
2025-08-18 17:59:13 -07:00
Xuan Yang f8fd6a4f09 chore: add the missing license header for core_callback_config init file
PiperOrigin-RevId: 796641146
2025-08-18 17:29:09 -07:00
Google Team Member a953807cce feat: add Bigtable tools
These tools support basic operations to interact with Bigtable table metadata and query results.

PiperOrigin-RevId: 796571736
2025-08-18 14:17:08 -07:00
Google Team Member fa64545a9d fix: Fix the path for agent card in A2A demo
`AGENT_CARD_WELL_KNOWN_PATH` already contains a leading slash so is not needed in the `agent_card` URL.

PiperOrigin-RevId: 796543208
2025-08-18 13:04:38 -07:00
George Weale 004a0a0f2d fix: litellm-test due to breaking change in dep library of extension extra
PiperOrigin-RevId: 796543071
2025-08-18 13:03:04 -07:00
Google Team Member a117cf0af3 fix: Fix the path for agent card in A2A demo
`AGENT_CARD_WELL_KNOWN_PATH` already contains a leading slash so is not needed in the `agent_card` URL.

PiperOrigin-RevId: 796537920
2025-08-18 12:49:20 -07:00
Wei Sun (Jack) 1fd58cb363 chore(config): Creates yaml_utils.py in utils to allow adk dump yaml in the same style
PiperOrigin-RevId: 796531710
2025-08-18 12:34:09 -07:00
Shangjie Chen f03f167779 chore: Return explict None type for DELETE endpoints
The HTTP response code will become 204 No Content instead of 200.

PiperOrigin-RevId: 796123628
2025-08-17 09:58:40 -07:00
Liang Wu 43f302ce1a chore(config): Add _config suffix to all yaml-based agent examples
Also expand agent folder name to full spelling, e.g. ma --> multi_agent

PiperOrigin-RevId: 795926902
2025-08-16 16:10:43 -07:00
Shangjie Chen ecaa7b4c98 chore: Rename run related method and request to align with the conventions
PiperOrigin-RevId: 795660109
2025-08-15 16:48:01 -07:00
Xiang (Sean) Zhou 279e4fedd0 fix: Using base event's invocation id when merge multiple function response event
fix https://github.com/google/adk-python/issues/1531

PiperOrigin-RevId: 795657473
2025-08-15 16:38:15 -07:00
Liang Wu b3b70035c4 feat: support deploying config agent to Agent Engine in CLI
Both pure config and config with code are successfully deployed.

PiperOrigin-RevId: 795645102
2025-08-15 16:01:50 -07:00
Dan Liebling 22f34e9d2c fix: avoid crash when there is no candidates_token_count, which is Optional
PiperOrigin-RevId: 795643665
2025-08-15 15:56:05 -07:00
Liang Wu ba6e85eb3f docs(config): fix core_callback example
PiperOrigin-RevId: 795619488
2025-08-15 14:44:53 -07:00
Terrence Ryan c84350345a feat: adding build image to deploy cloud_run options (#2502)
* feat: adding build image to deploy cloud_run options

Gives the ability for a user to set the build image for the deployment step to Cloud Run.  Currently it is hard coded to python:3.11-slim, and this is still the default, but this allows that value to be overriden.

* fix: applied formatting scripts

testing:

Added tests to ensure the behavior of the cli remains consistent with when used or omitted.

* chore: next time run the formatter before you commit.

---------

Co-authored-by: Ivan Cheung <ivans.mailbox@gmail.com>
2025-08-15 11:36:44 -07:00
Shangjie Chen a2b7909fc3 fix: Fix the packaging version comparison logic in adk cli
Resolves https://github.com/google/adk-python/issues/2503

PiperOrigin-RevId: 795519711
2025-08-15 10:16:45 -07:00
Google Team Member b66054dd0d fix: Add Spanner admin scope to Spanner tool default Oauth scopes
PiperOrigin-RevId: 795519063
2025-08-15 10:15:15 -07:00
Wei Sun (Jack) 8a9a271141 fix(config): Fixes SequentialAgent.config_type type hint
Without ClassVar, it will cause pydantic to generate warning.

PiperOrigin-RevId: 795518646
2025-08-15 10:13:39 -07:00
Xiang (Sean) Zhou a2832d5ac7 feat: Support custom tool_name_prefix in auto-generated GoogleApiToolset
PiperOrigin-RevId: 795508179
2025-08-15 09:44:16 -07:00
Wei Sun (Jack) 1328e6ef62 docs(config): Adds a minimal sample to demo how to use Agent Config to create a multi-agent setup
PiperOrigin-RevId: 795501478
2025-08-15 09:22:52 -07:00
Wei Sun (Jack) cd357bf5ae fix: Fixes the host in the ansi bracket of adk web
localhost cannot always open Web UI, since we only bind 127.0.0.1.

PiperOrigin-RevId: 795484904
2025-08-15 08:26:01 -07:00
Google Team Member a27927dc81 fix: Add spanner tool name prefix
PiperOrigin-RevId: 795339631
2025-08-14 22:14:18 -07:00
Liang Wu 6c217bad82 chore: update models in samples/ folder to be gemini 2.0+
Gemini 1.5 is obsolete and not accessible to new projects.

PiperOrigin-RevId: 795330977
2025-08-14 21:36:23 -07:00
Xuan Yang c32cb6eef9 chore: remove the "one commit" requirement from the contributing guide
PiperOrigin-RevId: 795217167
2025-08-14 15:13:19 -07:00
Hangfei Lin 80052700f6 chore: Bump version to 1.11.0
release for 1.11.0

PiperOrigin-RevId: 795195869
2025-08-14 14:19:15 -07:00
303 changed files with 21056 additions and 2764 deletions
@@ -0,0 +1,41 @@
name: Analyze New Release for ADK Docs Updates
on:
# Runs on every new release.
release:
types: [published]
# Manual trigger for testing and retrying.
workflow_dispatch:
jobs:
analyze-new-release-for-adk-docs-updates:
runs-on: ubuntu-latest
permissions:
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 Analyzing Script
env:
GITHUB_TOKEN: ${{ secrets.ADK_TRIAGE_AGENT }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
GOOGLE_GENAI_USE_VERTEXAI: 0
DOC_OWNER: 'google'
CODE_OWNER: 'google'
DOC_REPO: 'adk-docs'
CODE_REPO: 'adk-python'
INTERACTIVE: 0
PYTHONPATH: contributing/samples/adk_documentation
run: python -m adk_release_analyzer.main
+11 -3
View File
@@ -3,10 +3,14 @@ name: ADK Answering Agent for Discussions
on:
discussion:
types: [created]
discussion_comment:
types: [created]
jobs:
agent-answer-questions:
if: github.event.discussion.category.name == 'Q&A'
if: >-
(github.event_name == 'discussion' && github.event.discussion.category.name == 'Q&A') ||
(github.event_name == 'discussion_comment' && contains(github.event.comment.body, '@adk-bot') && github.event.sender.login != 'adk-bot')
runs-on: ubuntu-latest
steps:
@@ -41,6 +45,10 @@ jobs:
OWNER: 'google'
REPO: 'adk-python'
INTERACTIVE: 0
DISCUSSION_NUMBER: ${{ github.event.discussion.number }}
PYTHONPATH: contributing/samples
run: python -m adk_answering_agent.main
DISCUSSION_JSON: ${{ toJson(github.event.discussion) }}
run: |
# Replace single quotes with the sequence that allows them to be used in a single-quoted string
# This replaces ' with '\'', which ends the current single-quoted string, adds an escaped single quote, then starts a new single-quoted string
SAFE_JSON="${DISCUSSION_JSON//\'/\'\\\'\'}"
python -m adk_answering_agent.main --discussion '$SAFE_JSON'
+1
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@@ -6,6 +6,7 @@ on:
jobs:
agent-triage-pull-request:
if: "!contains(github.event.pull_request.labels.*.name, 'bot triaged') && !contains(github.event.pull_request.labels.*.name, 'google-contributor')"
runs-on: ubuntu-latest
permissions:
pull-requests: write
+205
View File
@@ -1,5 +1,210 @@
# Changelog
## [1.14.0](https://github.com/google/adk-python/compare/v1.13.0...v1.14.0) (2025-09-10)
### Features
* [A2A]
* Allow users to pass their own agent card to to_a2a method [a1679da](https://github.com/google/adk-python/commit/a1679dae3fef70f1231afba3e97d45b59c314ae3)
* Allow custom part converters in A2A classes [b05fef9](https://github.com/google/adk-python/commit/b05fef9ba71f95ab2658eb4eb5608c141d49f82f)
* [Tools]
* Allow setting agent/application name and compute project for BigQuery tools [11a2ffe](https://github.com/google/adk-python/commit/11a2ffe35adbae977b49ceccf0e76e20c6dc90b6)
* Add BigQuery forecast tool [0935a40](https://github.com/google/adk-python/commit/0935a40011a3276ee7f7fa3b91678b4d63f22ba5)
* Add GkeCodeExecutor for sandboxed code execution on GKE [72ff9c6](https://github.com/google/adk-python/commit/72ff9c64a291aebb50b07446378f375e58882c4e)
* Add a tool confirmation flow that can guard tool execution with explicit confirmation and custom input [a17bcbb](https://github.com/google/adk-python/commit/a17bcbb2aa0f5c6aca460db96ed1cb7dd86fef84)
* Add audience and prompt as configurable for OAuth flows [edda922](https://github.com/google/adk-python/commit/edda922791f15ac37830ed95ebf76b9f836d9db4)
* Allow user specify embedding model for file retrieval [67f23df](https://github.com/google/adk-python/commit/67f23df25ad47aff3cb36d0fc9ce2c9b97bde09b)
* [Core]
* Allow all possible values for `agent_class` field in all Agent Configs [3bc2d77](https://github.com/google/adk-python/commit/3bc2d77b4d180e9c42b30d4d1ce580aa75abe501)
* Allow agent loader to load built-in agents from special directories in adk folder [578fad7](https://github.com/google/adk-python/commit/578fad7034a7b369a490ad0afa4dd2820463c22d)
* Upgrade ADK runner to use App in addition to root_agent [4df79dd](https://github.com/google/adk-python/commit/4df79dd5c92d96096d031b26470458d0bca79a79)
* Allow inject artifact into instructions [bb4cfde](https://github.com/google/adk-python/commit/bb4cfdec12370955d4038d6d8c86e04691f2308e)
* [Misc] Create an initial ADK release analyzer agent to find the doc updates needed between releases [e3422c6](https://github.com/google/adk-python/commit/e3422c616d18ec3850454ee83f2ef286198543ec)
### Bug Fixes
* Add a NOTE to agent transfer instructions listing available agents [43eec82](https://github.com/google/adk-python/commit/43eec82f8444c19455089655ee288200ec966577)
* Fix pagination of list_sessions in VertexAiSessionService [e63fe0c](https://github.com/google/adk-python/commit/e63fe0c0eb73ac6e22d975387dd2df3d2ba3f521)
* Fix AttributeError and indentation in parameter processing of LiteLlm [1e23652](https://github.com/google/adk-python/commit/1e23652968164c5fdfa5564e966e78799237d94b)
* Allow AgentTool to inherit/use plugins from its invocation context when running [1979dcf](https://github.com/google/adk-python/commit/1979dcf496be3fb75fa2063fc96f480bedeb5de2)
* Enforce foreign key constraint for SQLite DB [0c87907](https://github.com/google/adk-python/commit/0c87907bcb2e5687a4ad08bab450fc888a5b5233)
* Add back installing requirements.txt to Dockerfile template for cloud run [8e43f0d](https://github.com/google/adk-python/commit/8e43f0dd8321ea31d6ad970ad4402feb48cdbd3d)
* Only process the auth responses in the last event with content (if applicable i.e. it's authored by user) [3b922a2](https://github.com/google/adk-python/commit/3b922a2f6da373b0de78b022db5d5bcb5453379f)
* Extract a utility for aggregating partial streaming responses and emitting LlmResponses for them as needed [7975e8e](https://github.com/google/adk-python/commit/7975e8e1961c8e375e2af3506ea546580ff7e45d)
* Support saving text artifacts in GCS artifact service [cecf7e8](https://github.com/google/adk-python/commit/cecf7e805d19d20e940319a6e16bfc9015ead202)
* Fixes `thought` handling in contents.py and refactors its unit tests [a30851e](https://github.com/google/adk-python/commit/a30851ee16114103dca7b9736e79cb31e82ee4d8)
* Fixes the `thought` field handling in _planning.py [fe8b37b](https://github.com/google/adk-python/commit/fe8b37b0d3046a9c0dd90e8ddca2940c28d1a93f)
* Pass state_delta to runner in /run endpoint [a3410fa](https://github.com/google/adk-python/commit/a3410fab7b25cc0e9c5908e23a087b501466df76)
* Fix discussion answering github action workflow to escape the quote in the discussion content JSON [43c9681](https://github.com/google/adk-python/commit/43c96811da891a5b0c9cf1be525665e65f346a13)
* Send full MIME types for image/video/pdf in get_content [e45c3be](https://github.com/google/adk-python/commit/e45c3be23895b5ec68908ad9ee19bd622dcbd003)
* Fix flaky unit tests: tests/unittests/flows/llm_flows/test_functions_simple.py [b92b288](https://github.com/google/adk-python/commit/b92b288c978a9b3d1a76c8bcb96cc8f439ce610b)
* Make UT of a2a consistent about how tests should be skipped when python verison < 3.10 [98b0426](https://github.com/google/adk-python/commit/98b0426cd2dc5e28014ead22b22dbf50d42d0a9a)
### Improvements
* Update contribution guide [8174a29](https://github.com/google/adk-python/commit/8174a29c6db9fd22a5a563f3088bd538b90e9a50)
* Skip PR triage for already triaged or Google-contributor PRs [78eea1a](https://github.com/google/adk-python/commit/78eea1aa550790097a1005237acaec56309cd61e)
* Avoid mutable default arguments in `local_eval_service` and `runners` [64f11a6](https://github.com/google/adk-python/commit/64f11a6a67e7042768270c5587e87528c358bd06)
* Avoid mutable default arguments in `local_eval_service` and `runners` [5b465fd](https://github.com/google/adk-python/commit/5b465fd71b601a2a1ab95a74f7c9ddafe09085e5)
* Reorder dependencies in `pyproject.toml` [ca5f7f1](https://github.com/google/adk-python/commit/ca5f7f1ff0afb2b3c2457fb9efdf029dcf7494b7)
* Follow pydantic convention to make field_validator a public method [1448406](https://github.com/google/adk-python/commit/14484065c64396cebc4a1dde84d6b8b51439b990)
* Update comment to clarify `after_run` callbacks [7720616](https://github.com/google/adk-python/commit/7720616c5f1dc302f019c348a6dfa70d1cf0b135)
* Tune instructions to not ask root directory if it's already provided in the context [25df6c2](https://github.com/google/adk-python/commit/25df6c22d5942ead3a329f90ed2c10b374051ae6)
* Load discussion data from event content to avoid additional GraphQL API call [a503a0c](https://github.com/google/adk-python/commit/a503a0c807e50ec9dde7d5095f8e020861d1375d)
* Refactor discussion answering agent to merge answer_discussions.py into main.py [408d3df](https://github.com/google/adk-python/commit/408d3dfeb1475da343a15ae13e9b128985460a5d)
* Add community repo dependency group to pyproject toml [7b077ac](https://github.com/google/adk-python/commit/7b077ac3517f2b88d1bc4b732815ca766c791168)
* Add warning for using Gemini models via LiteLLM [9291daa](https://github.com/google/adk-python/commit/9291daaa8e399ca052f5a52dbb600d719dcc9fa8)
### Documentation
* Update root_agent description for clarity [467df1a](https://github.com/google/adk-python/commit/467df1a36f3ded1a0e324defcd94c557871c9190)
* Update the ask_data_insights docstring [aad1533](https://github.com/google/adk-python/commit/aad153322e54cc39c97e3e0bc71cbed72bcab477)
* Add contributing Spanner tools RAG agent sample [fcd748e](https://github.com/google/adk-python/commit/fcd748e17f4e0e7a3146716816c579f2ee973e6b)
### Tests
* Add functional telemetry tests [bc6b546](https://github.com/google/adk-python/commit/bc6b5462a76ee1cd718c75360daac94373d7c071)
* Add unit tests for the `App` class and improve `Runner` initialization tests [fc90ce9](https://github.com/google/adk-python/commit/fc90ce968f114f84b14829f8117797a4c256d710)
### Chores
* Use lazy % formatting in logging functions to fix pylint warnings [b431072](https://github.com/google/adk-python/commit/b4310727d90421a81a8afc47e3c344646ee7aee8)
* Update release cadence in README [decc19b](https://github.com/google/adk-python/commit/decc19b188fbf097995824f9ad7b7be1263b6338)
* Add `custom_metadata` to DatabaseSessionService [fb009d8](https://github.com/google/adk-python/commit/fb009d8ea672bbbef4753e4cd25229dbebd0ff8d)
* Update create_session endpoint to use Request message as post body [219815d](https://github.com/google/adk-python/commit/219815d2d7f45ac0cff28265f23fbf4f4e77163f)
## 1.13.0 (2025-08-27)
### Features
* [Tools] Add the ask_data_insights tool for natural language queries on BigQuery data [47b88d2](https://github.com/google/adk-python/commit/47b88d2b06d247a698915ebf74564dbb5d81153e)
### Bug Fixes
* Add the missing `from_config` class method in BaseToolset [2dd432c](https://github.com/google/adk-python/commit/2dd432cc1fe265a79986a28e2afb59ee2c83abb3)
* Change LlmResponse to use Content for transcriptions [3b997a0](https://github.com/google/adk-python/commit/3b997a0a07d1a2915bc64d64355f4dbabb7e0ba0)
* AgentTool returns last content, instead of the content in the last event [bcf0dda](https://github.com/google/adk-python/commit/bcf0dda8bcc221974098f3077007c9e84c63021a)
* Fix adk deploy docker file permission [ad81aa5](https://github.com/google/adk-python/commit/ad81aa54de1f38df580915b7f47834ea8e5f1004)
* Updating BaseAgent.clone() and LlmAgent.clone() to properly clone fields that are lists [29bb75f](https://github.com/google/adk-python/commit/29bb75f975fe0c9c9d9a7e534a9c20158e1cbe1e)
* Make tool description for bigquery `execute_sql` for various write modes self contained [167182b](https://github.com/google/adk-python/commit/167182be0163117f814c70f453d5b2e19bf474df)
* Set invocation_id and branch for event generated when both output_schema and tools are used [3f3aa7b](https://github.com/google/adk-python/commit/3f3aa7b32d63cae5750d71bc586c088427c979ea)
* Rework parallel_agent.py to always aclose async generators [826f554](https://github.com/google/adk-python/commit/826f5547890dc02e707be33a3d6a58b527dac223)
* Add table metadata info into Spanner tool `get_table_schema` and fix the key usage info [81a53b5](https://github.com/google/adk-python/commit/81a53b53d6336011187a50ae8f1544de9b2764a8)
* Fix Spanner DatabaseSessionService support [54ed079](https://github.com/google/adk-python/commit/54ed0791005350542708eb2c38f32ce8b92356bc)
* Add support for required params [c144b53](https://github.com/google/adk-python/commit/c144b5347cc459496d4fd41e0c63715ffffb4952)
* Replaced hard coded value for user_id to the value from the tool context from parent agent. [0b89f18](https://github.com/google/adk-python/commit/0b89f1882dccc1acd0ee109832053edecec04850)
### Improvements
* Allow user to specify protocol for A2A RPC URL in to_a2a utility [157f731](https://github.com/google/adk-python/commit/157f73181d123b0fddc34205dc74434fcbc43b2a)
* Passthrough extra args for `adk deploy cloud_run` as Cloud Run args [6806dea](https://github.com/google/adk-python/commit/6806deaf8811eb7f02ed958648886323aba16adb)
* Renames MCPTool and MCPToolset to McpTool and McpToolset [4c70606](https://github.com/google/adk-python/commit/4c7060612967253dae824a14c5c3f853a547469b)
* Ignore hidden files in autoformat.sh [0eb65c0](https://github.com/google/adk-python/commit/0eb65c07d52f71cf555f0c32dc34b2e4ac8cf2a2)
### Documentation
* Clean up docs in sample [a360bc2](https://github.com/google/adk-python/commit/a360bc25429bf4bef6a80da59afe30d6933a844b)
* Fixes root_agent.yaml in tool_mcp_stdio_notion_config for Agent Config sample and add README.md [2c088ac](https://github.com/google/adk-python/commit/2c088acc9b34f030537b02b45a4afd458445d15b)
* Add What's new section to README.md [ccab076](https://github.com/google/adk-python/commit/ccab076aceff917591eb3a3cc89a9f85226b832a)
## 1.12.0 (2025-08-21)
### Features
**[Agent Config]** 🌟 **NEW FEATURE**: Support using config file (YAML) to author agents in addition to python code. See the [documentation](https://google.github.io/adk-docs/agents/config/) for details.
* [Agent Config] Support deploying config agent to Agent Engine in CLI ([b3b7003](https://github.com/google/adk-python/commit/b3b70035c432670a5f0b5cdd1e9467f43b80495c))
* [Tools] Add a dedicated Bigtable toolset to provide an easier, integrated way to interact
with Bigtable for building AI Agent applications(experimental feature) ([a953807](https://github.com/google/adk-python/commit/a953807cce341425ba23e3f0a85eae58d6b0630f))
* [Tools] Support custom tool_name_prefix in auto-generated GoogleApiToolset ([a2832d5](https://github.com/google/adk-python/commit/a2832d5ac7ba5264ee91f6d5a6a0058cfe4c9e8a)) See [oauth_calendar_agent](https://github.com/google/adk-python/tree/main/contributing/samples/oauth_calendar_agent) as an example.
* [CLI] Add `build_image` option for `adk deploy cloud_run` CLI ([c843503](https://github.com/google/adk-python/commit/c84350345af0ea6a232e0818b20c4262b228b103))
* [Services] Add setdefault method to the ADK State object ([77ed1f5](https://github.com/google/adk-python/commit/77ed1f5f15ed3f009547ed0e20f86d949de12ec2))
### Bug Fixes
* Lazy load VertexAiCodeExecutor and ContainerCodeExecutor ([018db79](https://github.com/google/adk-python/commit/018db79d1354f93b8328abb8416f63070b25f9f1))
* Fix the path for agent card in A2A demo ([fa64545](https://github.com/google/adk-python/commit/fa64545a9de216312a69f93126cfd37f1016c14b))
* Fix the path for agent card in A2A demo ([a117cf0](https://github.com/google/adk-python/commit/a117cf0af335c5e316ae9d61336a433052316462))
* litellm-test due to breaking change in dep library of extension extra ([004a0a0](https://github.com/google/adk-python/commit/004a0a0f2d9a4f7ae6bff42a7cad96c11a99acaf))
* Using base event's invocation id when merge multiple function response event ([279e4fe](https://github.com/google/adk-python/commit/279e4fedd0b1c0d1499c0f9a4454357af7da490e))
* Avoid crash when there is no candidates_token_count, which is Optional ([22f34e9](https://github.com/google/adk-python/commit/22f34e9d2c552fbcfa15a672ef6ff0c36fa32619))
* Fix the packaging version comparison logic in adk cli ([a2b7909](https://github.com/google/adk-python/commit/a2b7909fc36e7786a721f28e2bf75a1e86ad230d))
* Add Spanner admin scope to Spanner tool default Oauth scopes ([b66054d](https://github.com/google/adk-python/commit/b66054dd0d8c5b3d6f6ad58ac1fbd8128d1da614))
* Fixes SequentialAgent.config_type type hint ([8a9a271](https://github.com/google/adk-python/commit/8a9a271141678996c9b84b8c55d4b539d011391c))
* Fixes the host in the ansi bracket of adk web ([cd357bf](https://github.com/google/adk-python/commit/cd357bf5aeb01f1a6ae2a72349a73700ca9f1ed2))
* Add spanner tool name prefix ([a27927d](https://github.com/google/adk-python/commit/a27927dc8197c391c80acb8b2c23d610fba2f887))
### Improvements
* Support `ADK_SUPPRESS_EXPERIMENTAL_FEATURE_WARNINGS` as environment variable to suppress experimental warnings ([4afc9b2](https://github.com/google/adk-python/commit/4afc9b2f33d63381583cea328f97c02213611529))
* Uses pydantic `Field` for Agent configs, so that the generated AgentConfig.json json schema can carry field description ([5b999ed](https://github.com/google/adk-python/commit/5b999ed6fd23a0fc1da56ccff4c09621f433846b))
* Update `openai` dependency version, based on correct OPENAI release ([bb8ebd1](https://github.com/google/adk-python/commit/bb8ebd15f90768b518cd0e21a59b269e30d6d944))
* Add the missing license header for core_callback_config init file ([f8fd6a4](https://github.com/google/adk-python/commit/f8fd6a4f09ab520b8ecdbd8f9fe48228dbff7ebe))
* Creates yaml_utils.py in utils to allow adk dump yaml in the same style ([1fd58cb](https://github.com/google/adk-python/commit/1fd58cb3633992cd88fa7e09ca6eda0f9b34236f))
* Return explict None type for DELETE endpoints ([f03f167](https://github.com/google/adk-python/commit/f03f1677790c0a9e59b6ba6f46010d0b7b64be50))
* Add _config suffix to all yaml-based agent examples ([43f302c](https://github.com/google/adk-python/commit/43f302ce1ab53077ee8f1486d5294540678921e6))
* Rename run related method and request to align with the conventions ([ecaa7b4](https://github.com/google/adk-python/commit/ecaa7b4c9847b478c7cdc37185b1525f733bb403))
* Update models in samples/ folder to be gemini 2.0+ ([6c217ba](https://github.com/google/adk-python/commit/6c217bad828edf62b41ec06b168f8a6cb7ece2ed))
* Remove the "one commit" requirement from the contributing guide ([c32cb6e](https://github.com/google/adk-python/commit/c32cb6eef9ce320ea5a1f3845fc57b83762c237e))
* Bump version to 1.11.0 ([8005270](https://github.com/google/adk-python/commit/80052700f6cee947322080ae6c415d3a428b6c91))
### Documentation
* Add contributing bigtable sample ([fef5318](https://github.com/google/adk-python/commit/fef5318a22f3dcaadb7ecb858725eb61a0350140))
* Fix core_callback example ([ba6e85e](https://github.com/google/adk-python/commit/ba6e85eb3fb06f58ce9077574eac193298e18bea))
* Adds a minimal sample to demo how to use Agent Config to create a multi-agent setup ([1328e6e](https://github.com/google/adk-python/commit/1328e6ef62e9e6260048c0078579edb85a0440bc))
## [1.11.0](https://github.com/google/adk-python/compare/v1.10.0...v1.11.0) (2025-08-14)
### Features
* [Tools] Support adding prefix to tool names returned by toolset ([ebd726f](https://github.com/google/adk-python/commit/ebd726f1f5e0a76f383192cace4a80a83204325b))
* [Eval] Expose `print_detailed_results` param to `AgentEvaluator.evaluate` ([7e08808](https://github.com/google/adk-python/commit/7e0880869b340e9a5e0d68d6936219e64ab41212))
* [Tools] Add Spanner toolset (breaking change to BigQueryTool, consolidating into generic GoogleTool) ([1fc8d20](https://github.com/google/adk-python/commit/1fc8d20ae88451b7ed764aa86c17c3cdfaffa1cf))
* [Core] Support both output_schema and tools at the same time in LlmAgent([sample](https://github.com/google/adk-python/tree/main/contributing/samples/output_schema_with_tools)) ([af63567](https://github.com/google/adk-python/commit/af635674b5d3c128cf21737056e091646283aeb7))
### Bug Fixes
* A2A RPC URL got overriden by host and port param of adk api server ([52284b1](https://github.com/google/adk-python/commit/52284b1bae561e0d6c93c9d3240a09f210551b97))
* Aclose all async generators to fix OTel tracing context ([a30c63c](https://github.com/google/adk-python/commit/a30c63c5933a770b960b08a6e2f8bf13eece8a22))
* Use PreciseTimestamp for create and update time in database session service to improve precision ([585141e](https://github.com/google/adk-python/commit/585141e0b7dda20abb024c7164073862c8eea7ae))
* Ignore AsyncGenerator return types in function declarations ([e2518dc](https://github.com/google/adk-python/commit/e2518dc371fe77d7b30328d8d6f5f864176edeac))
* Make all subclass of BaseToolset to call parent constructor ([8c65967](https://github.com/google/adk-python/commit/8c65967cdc2dc79fa925ff49a2a8d67c2a248fa9))
* Path parameter extraction for complex Google API endpoints ([54680ed](https://github.com/google/adk-python/commit/54680edf3cac7477c281680ec988c0a207c0915d))
* Docstring concatenation in 3.13 ([88f759a](https://github.com/google/adk-python/commit/88f759a941c95beef0571f36f8e7a34f27971ba8))
* Lazy load retrieval tools and prompt users to install extensions if import failed ([9478a31](https://github.com/google/adk-python/commit/9478a31bf2257f0b668ae7eb91a10863e87c7bed))
* Incorrect logic in LlmRequest.append_tools and make BaseTool to call it ([b4ce3b1](https://github.com/google/adk-python/commit/b4ce3b12d109dd0386f4985fc4b27d5b93787532))
* Creates an InMemoryMemoryService within the EvaluationGenerator ([e4d54b6](https://github.com/google/adk-python/commit/e4d54b66b38ed334ca92c3bb1a83aca01b19e490))
* Uncomment OTel tracing in base_llm_flow.py ([9cfe433](https://github.com/google/adk-python/commit/9cfe43334ae50f814fed663cca7cbe330e663b8c))
### Improvements
* Added upper version bounds to dependencies in "pyproject.toml" ([a74d334](https://github.com/google/adk-python/commit/a74d3344bc19e587c5e9f55f3c90fa9d22c478d8))
* Update python-version in .github/workflows/python-unit-tests.yml to \["3.9", "3.10", "3.11", "3.12", "3.13"] ([ddf2e21](https://github.com/google/adk-python/commit/ddf2e2194b49667c8e91b4a6afde694474674250))
* Update comment to reference "Streamable HTTP Client" ([c52f956](https://github.com/google/adk-python/commit/c52f9564330f0c00d82338cc58df28cb22400b6f))
* Remove logging that contains full event data from DatabaseSessionService ([bb3735c](https://github.com/google/adk-python/commit/bb3735c9cab1baa1af2cc22981af3b3984ddfe15))
* Add the missing env variables in discussion_answering.yml ([a09a5e6](https://github.com/google/adk-python/commit/a09a5e67aa95cf71b51732ab445232dc4815d83d))
* Add Gemini API docs as a new datastore for the ADK Answering Agent ([5fba196](https://github.com/google/adk-python/commit/5fba1963c31eec512558325c480812ccb919a7bb))
* Add the missing license header for some sample agents' files ([7d2cb65](https://github.com/google/adk-python/commit/7d2cb654f0d64728741b5de733e572c44c8a5b04))
* Add docstring to clarify the behavior of preload memory tool ([88114d7](https://github.com/google/adk-python/commit/88114d7c739ca6a1b9bd19d40ed7160e53054a89))
* Add experimental messages for a2a related API ([d0b3b5d](https://github.com/google/adk-python/commit/d0b3b5d857d8105c689bd64204e367102a67eded))
* Fixes generate_image sample ([d674178](https://github.com/google/adk-python/commit/d674178a0535be3769edbf6af5a3d8cd3d47fcd2))
* Make all FastAPI endpoints async ([7f12387](https://github.com/google/adk-python/commit/7f12387eb19b9335a64b80df00609c3c765480e7))
* Group FastAPI endpoints with tags ([c323de5](https://github.com/google/adk-python/commit/c323de5c692223e55372c3797e62d4752835774d))
* Allow implementations to skip defining a close method on Toolset ([944e39e](https://github.com/google/adk-python/commit/944e39ec2a7c9ad7f20c08fd66bf544de94a23d7))
* Add sample agent to test support of output_schema and tools at the same time for gemini model ([f2005a2](https://github.com/google/adk-python/commit/f2005a20267e1ee8581cb79c37aa55dc8e18c0ea))
* Add Github workflow config for uploading ADK docs to knowledge store ([5900273](https://github.com/google/adk-python/commit/59002734559d49a46940db9822b9c5f490220a8c))
* Update ADK Answering agent to reference doc site instead of adk-docs repo ([b5a8bad](https://github.com/google/adk-python/commit/b5a8bad170e271b475385dac440c7983ed207df8))
### Documentation
* Fixes tool_functions, which is a config-based sample for using tools ([c5af44c](https://github.com/google/adk-python/commit/c5af44cfc0224e2f07ddc7a649a8561e7141fcdc))
* Add workflow_triage sample for multi-agent request orchestration ([e295feb](https://github.com/google/adk-python/commit/e295feb4c67cbe8ac4425d9ae230210840378b2e))
* Add examples for config agents ([d87feb8](https://github.com/google/adk-python/commit/d87feb8ddb6a5e402c63bd3c35625160eb94e132))
* Adds pypi badge to README.md ([dc26aad](https://github.com/google/adk-python/commit/dc26aad663b6ae72223cfec9b91eaf73a636402d))
* Update StreamableHTTPConnectionParams docstring to remove SSE references ([8f937b5](https://github.com/google/adk-python/commit/8f937b517548a1ce0569f9698ea55c0a130ef221))
## [1.10.0](https://github.com/google/adk-python/compare/v1.9.0...v1.10.0) (2025-08-07)
### Features
+98 -77
View File
@@ -2,25 +2,24 @@
We'd love to accept your patches and contributions to this project.
- [How to contribute](#how-to-contribute)
- [Before you begin](#before-you-begin)
- [Sign our Contributor License Agreement](#sign-our-contributor-license-agreement)
- [Review our community guidelines](#review-our-community-guidelines)
- [Contribution workflow](#contribution-workflow)
- [Finding Issues to Work On](#finding-issues-to-work-on)
- [Requirement for PRs](#requirement-for-prs)
- [Large or Complex Changes](#large-or-complex-changes)
- [Testing Requirements](#testing-requirements)
- [Unit Tests](#unit-tests)
- [Manual End-to-End (E2E) Tests](#manual-end-to-end-e2e-tests)
- [Documentation](#documentation)
- [Development Setup](#development-setup)
- [Code reviews](#code-reviews)
- [How to contribute](#how-to-contribute)
- [Before you begin](#before-you-begin)
- [Sign our Contributor License Agreement](#sign-our-contributor-license-agreement)
- [Review our community guidelines](#review-our-community-guidelines)
- [Contribution workflow](#contribution-workflow)
- [Finding Issues to Work On](#finding-issues-to-work-on)
- [Requirement for PRs](#requirement-for-prs)
- [Large or Complex Changes](#large-or-complex-changes)
- [Testing Requirements](#testing-requirements)
- [Unit Tests](#unit-tests)
- [Manual End-to-End (E2E) Tests](#manual-end-to-end-e2e-tests)
- [Documentation](#documentation)
- [Development Setup](#development-setup)
- [Code reviews](#code-reviews)
## Before you begin
# Before you begin
## Sign our Contributor License Agreement
### Sign our Contributor License Agreement
Contributions to this project must be accompanied by a
[Contributor License Agreement](https://cla.developers.google.com/about) (CLA).
@@ -34,74 +33,102 @@ was for a different project), you probably don't need to do it again.
Visit <https://cla.developers.google.com/> to see your current agreements or to
sign a new one.
## Review our community guidelines
### Review our community guidelines
This project follows
[Google's Open Source Community Guidelines](https://opensource.google/conduct/).
# Contribution workflow
### Code reviews
## Finding Issues to Work On
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.
- Browse issues labeled **`good first issue`** (newcomer-friendly) or **`help wanted`** (general contributions).
- For other issues, please kindly ask before contributing to avoid duplication.
## Contribution workflow
### Finding Issues to Work On
## Requirement for PRs
- Browse issues labeled **`good first issue`** (newcomer-friendly) or **`help
wanted`** (general contributions).
- For other issues, please kindly ask before contributing to avoid
duplication.
- Each PR should only have one commit. Please squash it if there are multiple PRs.
- All PRs, other than small documentation or typo fixes, should have a Issue assoicated. If not, please create one.
- Small, focused PRs. Keep changes minimal—one concern per PR.
- For bug fixes or features, please provide logs or screenshot after the fix is applied to help reviewers better understand the fix.
- Please include a `testing plan` section in your PR to talk about how you will test. This will save time for PR review. See `Testing Requirements` section for more details.
### Requirement for PRs
- All PRs, other than small documentation or typo fixes, should have a Issue
associated. If not, please create one.
- Small, focused PRs. Keep changes minimal—one concern per PR.
- For bug fixes or features, please provide logs or screenshot after the fix
is applied to help reviewers better understand the fix.
- Please include a `testing plan` section in your PR to talk about how you
will test. This will save time for PR review. See `Testing Requirements`
section for more details.
### Large or Complex Changes
## Large or Complex Changes
For substantial features or architectural revisions:
- Open an Issue First: Outline your proposal, including design considerations and impact.
- Gather Feedback: Discuss with maintainers and the community to ensure alignment and avoid duplicate work
- Open an Issue First: Outline your proposal, including design considerations
and impact.
- Gather Feedback: Discuss with maintainers and the community to ensure
alignment and avoid duplicate work
## Testing Requirements
### Testing Requirements
To maintain code quality and prevent regressions, all code changes must include comprehensive tests and verifiable end-to-end (E2E) evidence.
To maintain code quality and prevent regressions, all code changes must include
comprehensive tests and verifiable end-to-end (E2E) evidence.
#### Unit Tests
### Unit Tests
Please add or update unit tests for your change. Please include a summary of passed `pytest` results.
Please add or update unit tests for your change. Please include a summary of
passed `pytest` results.
Requirements for unit tests:
- **Coverage:** Cover new features, edge cases, error conditions, and typical use cases.
- **Location:** Add or update tests under `tests/unittests/`, following existing naming conventions (e.g., `test_<module>_<feature>.py`).
- **Framework:** Use `pytest`. Tests should be:
- Fast and isolated.
- Written clearly with descriptive names.
- Free of external dependencies (use mocks or fixtures as needed).
- **Quality:** Aim for high readability and maintainability; include docstrings or comments for complex scenarios.
- **Coverage:** Cover new features, edge cases, error conditions, and typical
use cases.
- **Location:** Add or update tests under `tests/unittests/`, following
existing naming conventions (e.g., `test_<module>_<feature>.py`).
- **Framework:** Use `pytest`. Tests should be:
- Fast and isolated.
- Written clearly with descriptive names.
- Free of external dependencies (use mocks or fixtures as needed).
- **Quality:** Aim for high readability and maintainability; include
docstrings or comments for complex scenarios.
### Manual End-to-End (E2E) Tests
#### Manual End-to-End (E2E) Tests
Manual E2E tests ensure integrated flows work as intended. Your tests should cover all scenarios. Sometimes, it's also good to ensure relevant functionality is not impacted.
Manual E2E tests ensure integrated flows work as intended. Your tests should
cover all scenarios. Sometimes, it's also good to ensure relevant functionality
is not impacted.
Depending on your change:
- **ADK Web:**
- Use the `adk web` to verify functionality.
- Capture and attach relevant screenshots demonstrating the UI/UX changes or outputs.
- Label screenshots clearly in your PR description.
- **ADK Web:**
- **Runner:**
- Provide the testing setup. For example, the agent definition, and the runner setup.
- Execute the `runner` tool to reproduce workflows.
- Include the command used and console output showing test results.
- Highlight sections of the log that directly relate to your change.
- Use the `adk web` to verify functionality.
- Capture and attach relevant screenshots demonstrating the UI/UX changes
or outputs.
- Label screenshots clearly in your PR description.
## Documentation
- **Runner:**
For any changes that impact user-facing documentation (guides, API reference, tutorials), please open a PR in the [adk-docs](https://github.com/google/adk-docs) repository to update relevant part before or alongside your code PR.
- Provide the testing setup. For example, the agent definition, and the
runner setup.
- Execute the `runner` tool to reproduce workflows.
- Include the command used and console output showing test results.
- Highlight sections of the log that directly relate to your change.
### Documentation
For any changes that impact user-facing documentation (guides, API reference,
tutorials), please open a PR in the
[adk-docs](https://github.com/google/adk-docs) repository to update relevant
part before or alongside your code PR.
## Development Setup
1. **Clone the repository:**
```shell
@@ -111,11 +138,13 @@ For any changes that impact user-facing documentation (guides, API reference, tu
2. **Install uv:**
Check out [uv installation guide](https://docs.astral.sh/uv/getting-started/installation/).
Check out
[uv installation guide](https://docs.astral.sh/uv/getting-started/installation/).
3. **Create and activate a virtual environment:**
**NOTE**: ADK supports Python 3.9+. Python 3.11 and above is strongly recommended.
**NOTE**: ADK supports Python 3.9+. Python 3.11 and above is strongly
recommended.
Create a workspace venv using uv.
@@ -129,10 +158,7 @@ For any changes that impact user-facing documentation (guides, API reference, tu
source .venv/bin/activate
```
**windows**
```shell
source .\.venv\Scripts\activate
```
**windows** `shell source .\.venv\Scripts\activate`
4. **Install dependencies:**
@@ -148,7 +174,7 @@ For any changes that impact user-facing documentation (guides, API reference, tu
pytest ./tests/unittests
```
NOTE: for accurate repro of test failure, only include `test`, `eval` and
NOTE: for accurate repro of test failure, only include `test`, `eval` and
`a2a` as extra dependencies.
```shell
@@ -165,14 +191,14 @@ For any changes that impact user-facing documentation (guides, API reference, tu
./autoformat.sh
```
7. **Build the wheel file:**
7. **Build the wheel file:**
```shell
uv build
```
8. **Test the locally built wheel file:**
Have a simple testing folder setup as mentioned in the
8. **Test the locally built wheel file:** Have a simple testing folder setup as
mentioned in the
[quickstart](https://google.github.io/adk-docs/get-started/quickstart/).
Then following below steps to test your changes:
@@ -201,16 +227,11 @@ For any changes that impact user-facing documentation (guides, API reference, tu
## Contributing Resources
[Contributing folder](https://github.com/google/adk-python/tree/main/contributing) has resources that is helpful for contributors.
[Contributing folder](https://github.com/google/adk-python/tree/main/contributing)
has resources that is helpful for contributors.
## Vibe Coding
## Code reviews
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.
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.
+6 -1
View File
@@ -27,6 +27,11 @@ Agent Development Kit (ADK) is a flexible and modular framework for developing a
---
## ✨ What's new
- **Agent Config**: Build agents without code. Check out the
[Agent Config](https://google.github.io/adk-docs/agents/config/) feature.
## ✨ Key Features
- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions,
@@ -59,7 +64,7 @@ You can install the latest stable version of ADK using `pip`:
pip install google-adk
```
The release cadence is weekly.
The release cadence is roughly bi-weekly.
This version is recommended for most users as it represents the most recent official release.
+3 -3
View File
@@ -52,16 +52,16 @@ echo '---------------------------------------'
echo '| Auto-formatting src/...'
echo '---------------------------------------'
find -L src/ -type f -name "*.py" -exec pyink --config pyproject.toml {} +
find -L src/ -not -path "*/.*" -type f -name "*.py" -exec pyink --config pyproject.toml {} +
echo '---------------------------------------'
echo '| Auto-formatting tests/...'
echo '---------------------------------------'
find -L tests/ -type f -name "*.py" -exec pyink --config pyproject.toml {} +
find -L tests/ -not -path "*/.*" -type f -name "*.py" -exec pyink --config pyproject.toml {} +
echo '---------------------------------------'
echo '| Auto-formatting contributing/...'
echo '---------------------------------------'
find -L contributing/ -type f -name "*.py" -exec pyink --config pyproject.toml {} +
find -L contributing/ -not -path "*/.*" -type f -name "*.py" -exec pyink --config pyproject.toml {} +
@@ -0,0 +1,206 @@
# Agent Builder Assistant
An intelligent assistant for building ADK multi-agent systems using YAML configurations.
## Quick Start
### Using ADK Web Interface
```bash
# From the ADK project root
adk web src/google/adk/agent_builder_assistant
```
### Programmatic Usage
```python
# Create with defaults
agent = AgentBuilderAssistant.create_agent()
# Create with custom settings
agent = AgentBuilderAssistant.create_agent(
model="gemini-2.5-pro",
schema_mode="query",
working_directory="/path/to/project"
)
```
## Core Features
### 🎯 **Intelligent Agent Design**
- Analyzes requirements and suggests appropriate agent types
- Designs multi-agent architectures (Sequential, Parallel, Loop patterns)
- Provides high-level design confirmation before implementation
### 📝 **Advanced YAML Configuration**
- Generates AgentConfig schema-compliant YAML files
- Supports all agent types: LlmAgent, SequentialAgent, ParallelAgent, LoopAgent
- Built-in validation with detailed error reporting
### 🛠️ **Multi-File Management**
- **Read/Write Operations**: Batch processing of multiple files
- **File Type Separation**: YAML files use validation tools, Python files use generic tools
- **Backup & Recovery**: Automatic backups before overwriting existing files
### 🗂️ **Project Structure Analysis**
- Explores existing project structures
- Suggests conventional ADK file organization
- Provides path recommendations for new components
### 🧭 **Dynamic Path Resolution**
- **Session Binding**: Each chat session bound to one root directory
- **Working Directory**: Automatic detection and context provision
- **ADK Source Discovery**: Finds ADK installation dynamically (no hardcoded paths)
## Schema Modes
Choose between two schema handling approaches:
### Embedded Mode (Default)
```python
agent = AgentBuilderAssistant.create_agent(schema_mode="embedded")
```
- Full AgentConfig schema embedded in context
- Faster execution, higher token usage
- Best for comprehensive schema work
### Query Mode
```python
agent = AgentBuilderAssistant.create_agent(schema_mode="query")
```
- Dynamic schema queries via tools
- Lower initial token usage
- Best for targeted schema operations
## Example Interactions
### Create a new agent
```
Create an agent that can roll n-sided number and check whether the rolled number is prime.
```
### Add Capabilities to Existing Agent
```
Could you make the agent under `./config_based/roll_and_check` a multi agent system : root_agent only for request routing and two sub agents responsible for two functions respectively ?
```
### Project Structure Analysis
```
Please analyze my existing project structure at './config_based/roll_and_check' and suggest improvements for better organization.
```
## Tool Ecosystem
### Core File Operations
- **`read_config_files`** - Read multiple YAML configurations with analysis
- **`write_config_files`** - Write multiple YAML files with validation
- **`read_files`** - Read multiple files of any type
- **`write_files`** - Write multiple files with backup options
- **`delete_files`** - Delete multiple files with backup options
### Project Analysis
- **`explore_project`** - Analyze project structure and suggest paths
- **`resolve_root_directory`** - Resolve paths with working directory context
### ADK knowledge Context
- **`google_search`** - Search for ADK examples and documentation
- **`url_context`** - Fetch content from URLs (GitHub, docs, etc.)
- **`search_adk_source`** - Search ADK source code with regex patterns
## File Organization Conventions
### ADK Project Structure
```
my_adk_project/
└── src/
└── my_app/
├── root_agent.yaml
├── sub_agent_1.yaml
├── sub_agent_2.yaml
├── tools/
│ ├── process_email.py # No _tool suffix
│ └── analyze_sentiment.py
└── callbacks/
├── logging.py # No _callback suffix
└── security.py
```
### Naming Conventions
- **Agent directories**: `snake_case`
- **Tool files**: `descriptive_action.py`
- **Callback files**: `descriptive_name.py`
- **Tool paths**: `project_name.tools.module.function_name`
- **Callback paths**: `project_name.callbacks.module.function_name`
## Session Management
### Root Directory Binding
Each chat session is bound to a single root directory:
- **Automatic Detection**: Working directory provided to model automatically
- **Session State**: Tracks established root directory across conversations
- **Path Resolution**: All relative paths resolved against session root
- **Directory Switching**: Suggest user starting new session to work in different directory
### Working Directory Context
```python
# The assistant automatically receives working directory context
agent = AgentBuilderAssistant.create_agent(
working_directory="/path/to/project"
)
# Model instructions include: "Working Directory: /path/to/project"
```
## Advanced Features
### Dynamic ADK Source Discovery
No hardcoded paths - works in any ADK installation:
```python
from google.adk.agent_builder_assistant.utils import (
find_adk_source_folder,
get_adk_schema_path,
load_agent_config_schema
)
# Find ADK source dynamically
adk_path = find_adk_source_folder()
# Load schema with caching
schema = load_agent_config_schema()
```
### Schema Validation
All YAML files validated against AgentConfig schema:
- **Syntax Validation**: YAML parsing with detailed error locations
- **Schema Compliance**: Full AgentConfig.json validation
- **Best Practices**: ADK naming and structure conventions
- **Error Recovery**: Clear suggestions for fixing validation errors
## Performance Optimization
### Efficient Operations
- **Multi-file Processing**: Batch operations reduce overhead
- **Schema Caching**: Global cache prevents repeated file reads
- **Dynamic Discovery**: Efficient ADK source location caching
- **Session Context**: Persistent directory binding across conversations
### Memory Management
- **Lazy Loading**: Schema loaded only when needed
- **Cache Control**: Manual cache clearing for testing/development
- **Resource Cleanup**: Automatic cleanup of temporary files
## Error Handling
### Comprehensive Validation
- **Path Validation**: All paths validated before file operations
- **Schema Compliance**: AgentConfig validation with detailed error reporting
- **Python Syntax**: Syntax validation for generated Python code
- **Backup Creation**: Automatic backups before overwriting files
### Recovery Mechanisms
- **Retry Suggestions**: Clear guidance for fixing validation errors
- **Backup Restoration**: Easy recovery from automatic backups
- **Error Context**: Detailed error messages with file locations and suggestions
This comprehensive assistant provides everything needed for intelligent, efficient ADK agent system creation with proper validation, file management, and project organization.
@@ -0,0 +1,28 @@
# 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.
"""Agent Builder Assistant for ADK.
This package provides an intelligent assistant for building multi-agent systems
using YAML configurations. It can be used directly as an agent or integrated
with ADK tools and web interfaces.
"""
from . import agent # Import to make agent.root_agent available
from .agent_builder_assistant import AgentBuilderAssistant
__all__ = [
'AgentBuilderAssistant',
'agent', # Make agent module available for adk web discovery
]
@@ -0,0 +1,21 @@
# 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.
"""Agent Builder Assistant instance for ADK web testing."""
from .agent_builder_assistant import AgentBuilderAssistant
# Create the agent instance using the factory
# The root_agent variable is what ADK looks for when loading agents
root_agent = AgentBuilderAssistant.create_agent()
@@ -0,0 +1,333 @@
# 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.
"""Agent factory for creating Agent Builder Assistant with embedded schema."""
from pathlib import Path
from typing import Callable
from typing import Literal
from typing import Optional
from typing import Union
from google.adk.agents import LlmAgent
from google.adk.agents.readonly_context import ReadonlyContext
from google.adk.models import BaseLlm
from google.adk.tools import AgentTool
from google.adk.tools import FunctionTool
from .sub_agents.google_search_agent import create_google_search_agent
from .sub_agents.url_context_agent import create_url_context_agent
from .tools.cleanup_unused_files import cleanup_unused_files
from .tools.delete_files import delete_files
from .tools.explore_project import explore_project
from .tools.read_config_files import read_config_files
from .tools.read_files import read_files
from .tools.resolve_root_directory import resolve_root_directory
from .tools.search_adk_source import search_adk_source
from .tools.write_config_files import write_config_files
from .tools.write_files import write_files
from .utils import load_agent_config_schema
class AgentBuilderAssistant:
"""Agent Builder Assistant factory for creating configured instances."""
@staticmethod
def create_agent(
model: Union[str, BaseLlm] = "gemini-2.5-flash",
schema_mode: Literal["embedded", "query"] = "embedded",
working_directory: Optional[str] = None,
) -> LlmAgent:
"""Create Agent Builder Assistant with configurable ADK AgentConfig schema approach.
Args:
model: Model to use for the assistant (default: gemini-2.5-flash)
schema_mode: ADK AgentConfig schema handling approach: - "embedded": Embed
full ADK AgentConfig schema in instructions (default) - "query": Use
query_schema tool for dynamic ADK AgentConfig schema access
working_directory: Working directory for path resolution (default: current
working directory)
Returns:
Configured LlmAgent with specified ADK AgentConfig schema mode
"""
# ADK AGENTCONFIG SCHEMA MODE SELECTION: Choose between two approaches for ADK AgentConfig schema access
#
# Why two modes?
# 1. Token efficiency: Embedded mode front-loads ADK AgentConfig schema in context vs
# Query mode which fetches ADK AgentConfig schema details on-demand
# 2. Performance: Embedded mode provides immediate access vs Query mode
# which requires tool calls for each ADK AgentConfig schema query
# 3. Use case fit: Embedded for comprehensive ADK AgentConfig schema work, Explorer for
# targeted queries and token-conscious applications
#
# Mode comparison:
# Embedded: Fast, comprehensive, higher token usage
# Query: Dynamic, selective, lower initial token usage
if schema_mode == "embedded":
# Load full ADK AgentConfig schema directly into instruction context
instruction = AgentBuilderAssistant._load_instruction_with_schema(
model, working_directory
)
else: # schema_mode == "query"
# Use schema query tool for dynamic ADK AgentConfig schema access
instruction = AgentBuilderAssistant._load_instruction_with_query(
model, working_directory
)
# TOOL ARCHITECTURE: Hybrid approach using both AgentTools and FunctionTools
#
# Why use sub-agents for built-in tools?
# - ADK's built-in tools (google_search, url_context) are designed as agents
# - AgentTool wrapper allows integrating them into our agent's tool collection
# - Maintains compatibility with existing ADK tool ecosystem
# Built-in ADK tools wrapped as sub-agents
google_search_agent = create_google_search_agent()
url_context_agent = create_url_context_agent()
agent_tools = [AgentTool(google_search_agent), AgentTool(url_context_agent)]
# CUSTOM FUNCTION TOOLS: Agent Builder specific capabilities
#
# Why FunctionTool pattern?
# - Automatically generates tool declarations from function signatures
# - Cleaner than manually implementing BaseTool._get_declaration()
# - Type hints and docstrings become tool descriptions automatically
# Core agent building tools
custom_tools = [
FunctionTool(read_config_files), # Read/parse multiple YAML configs
FunctionTool(
write_config_files
), # Write/validate multiple YAML configs
FunctionTool(explore_project), # Analyze project structure
# Working directory context tools
FunctionTool(resolve_root_directory),
# File management tools (multi-file support)
FunctionTool(read_files), # Read multiple files
FunctionTool(write_files), # Write multiple files
FunctionTool(delete_files), # Delete multiple files
FunctionTool(cleanup_unused_files),
# ADK source code search (regex-based)
FunctionTool(search_adk_source), # Search ADK source with regex
]
# CONDITIONAL TOOL LOADING: Add ADK AgentConfig schema query tool only in query mode
#
# Why conditional?
# - Embedded mode already has ADK AgentConfig schema in context, doesn't need explorer
# - Query mode needs dynamic ADK AgentConfig schema access via tool calls
# - Keeps tool list lean and relevant to the chosen ADK AgentConfig schema approach
if schema_mode == "explorer":
from .tools.query_schema import query_schema
custom_tools.append(FunctionTool(query_schema))
# Combine all tools
all_tools = agent_tools + custom_tools
# Create agent directly using LlmAgent constructor
agent = LlmAgent(
name="agent_builder_assistant",
description=(
"Intelligent assistant for building ADK multi-agent systems "
"using YAML configurations"
),
instruction=instruction,
model=model,
tools=all_tools,
)
return agent
@staticmethod
def _load_schema() -> str:
"""Load ADK AgentConfig.json schema content and format for YAML embedding."""
# CENTRALIZED ADK AGENTCONFIG SCHEMA LOADING: Use common utility function
# This avoids duplication across multiple files and provides consistent
# ADK AgentConfig schema loading with caching and error handling.
schema_content = load_agent_config_schema(
raw_format=True, # Get as JSON string
escape_braces=True, # Escape braces for template embedding
)
# Format as indented code block for instruction embedding
#
# Why indentation is needed:
# - The ADK AgentConfig schema gets embedded into instruction templates using .format()
# - Proper indentation maintains readability in the final instruction
# - Code block markers (```) help LLMs recognize this as structured data
#
# Example final instruction format:
# "Here is the ADK AgentConfig schema:
# ```json
# {"type": "object", "properties": {...}}
# ```"
lines = schema_content.split("\n")
indented_lines = [" " + line for line in lines] # 2-space indent
return "```json\n" + "\n".join(indented_lines) + "\n ```"
@staticmethod
def _load_instruction_with_schema(
model: Union[str, BaseLlm],
working_directory: Optional[str] = None,
) -> Callable[[ReadonlyContext], str]:
"""Load instruction template and embed ADK AgentConfig schema content."""
instruction_template = (
AgentBuilderAssistant._load_embedded_schema_instruction_template()
)
schema_content = AgentBuilderAssistant._load_schema()
# Get model string for template replacement
model_str = (
str(model)
if isinstance(model, str)
else getattr(model, "model_name", str(model))
)
# Fill the instruction template with ADK AgentConfig schema content and default model
instruction_text = instruction_template.format(
schema_content=schema_content, default_model=model_str
)
# Return a function that accepts ReadonlyContext and returns the instruction
def instruction_provider(context: ReadonlyContext) -> str:
return AgentBuilderAssistant._compile_instruction_with_context(
instruction_text, context, working_directory
)
return instruction_provider
@staticmethod
def _load_instruction_with_query(
model: Union[str, BaseLlm],
working_directory: Optional[str] = None,
) -> Callable[[ReadonlyContext], str]:
"""Load instruction template for ADK AgentConfig schema query mode."""
query_template = (
AgentBuilderAssistant._load_query_schema_instruction_template()
)
# Get model string for template replacement
model_str = (
str(model)
if isinstance(model, str)
else getattr(model, "model_name", str(model))
)
# Fill the instruction template with default model
instruction_text = query_template.format(default_model=model_str)
# Return a function that accepts ReadonlyContext and returns the instruction
def instruction_provider(context: ReadonlyContext) -> str:
return AgentBuilderAssistant._compile_instruction_with_context(
instruction_text, context, working_directory
)
return instruction_provider
@staticmethod
def _load_embedded_schema_instruction_template() -> str:
"""Load instruction template for embedded ADK AgentConfig schema mode."""
template_path = Path(__file__).parent / "instruction_embedded.template"
if not template_path.exists():
raise FileNotFoundError(
f"Instruction template not found at {template_path}"
)
with open(template_path, "r", encoding="utf-8") as f:
return f.read()
@staticmethod
def _load_query_schema_instruction_template() -> str:
"""Load instruction template for ADK AgentConfig schema query mode."""
template_path = Path(__file__).parent / "instruction_query.template"
if not template_path.exists():
raise FileNotFoundError(
f"Query instruction template not found at {template_path}"
)
with open(template_path, "r", encoding="utf-8") as f:
return f.read()
@staticmethod
def _compile_instruction_with_context(
instruction_text: str,
context: ReadonlyContext,
working_directory: Optional[str] = None,
) -> str:
"""Compile instruction with session context and working directory information.
This method enhances instructions with:
1. Working directory information for path resolution
2. Session-based root directory binding if available
Args:
instruction_text: Base instruction text
context: ReadonlyContext from the agent session
working_directory: Optional working directory for path resolution
Returns:
Enhanced instruction text with context information
"""
import os
# Get working directory (use provided or current working directory)
actual_working_dir = working_directory or os.getcwd()
# Check for existing root directory in session state
session_root_directory = context._invocation_context.session.state.get(
"root_directory"
)
# Compile additional context information
context_info = f"""
## SESSION CONTEXT
**Working Directory**: `{actual_working_dir}`
- Use this as the base directory for path resolution when calling resolve_root_directory
- Pass this as the working_directory parameter to resolve_root_directory tool
"""
if session_root_directory:
context_info += f"""**Established Root Directory**: `{session_root_directory}`
- This session is bound to root directory: {session_root_directory}
- DO NOT ask the user for root directory - use this established path
- All agent building should happen within this root directory
- If user wants to work in a different directory, ask them to start a new chat session
"""
else:
context_info += f"""**Root Directory**: Not yet established
- You MUST ask the user for their desired root directory first
- Use resolve_root_directory tool to validate the path
- Once confirmed, this session will be bound to that root directory
"""
context_info += """**Session Binding Rules**:
- Each chat session is bound to ONE root directory
- Once established, work only within that root directory
- To switch directories, user must start a new chat session
- Always verify paths using resolve_root_directory tool before creating files
"""
return instruction_text + context_info
@@ -0,0 +1,324 @@
# Agent Builder Assistant - Embedded Schema Mode
You are an intelligent Agent Builder Assistant specialized in creating and configuring ADK (Agent Development Kit) multi-agent systems using YAML configuration files.
## Your Purpose
Help users design, build, and configure sophisticated multi-agent systems for the ADK framework. You guide users through the agent creation process by asking clarifying questions, suggesting optimal architectures, and generating properly formatted YAML configuration files that comply with the ADK AgentConfig schema.
## Core Capabilities
1. **Agent Architecture Design**: Analyze requirements and suggest appropriate agent types (LlmAgent, SequentialAgent, ParallelAgent, LoopAgent)
2. **YAML Configuration Generation**: Create proper ADK agent configuration files with correct ADK AgentConfig schema compliance
3. **Tool Integration**: Help configure and integrate various tool types (Function tools, Google API tools, MCP tools, etc.)
4. **Python File Management**: Create, update, and delete Python files for custom tools and callbacks per user request
5. **Project Structure**: Guide proper ADK project organization and file placement
6. **ADK Knowledge & Q&A**: Answer questions about ADK concepts, APIs, usage patterns, troubleshooting, and best practices using comprehensive research capabilities
## ADK AgentConfig Schema Reference
You have access to the complete ADK AgentConfig schema embedded in your context:
{schema_content}
Always reference this schema when creating configurations to ensure compliance.
## Workflow Guidelines
### 1. Discovery Phase
- **ROOT DIRECTORY ESTABLISHMENT**:
* **FIRST**: Check SESSION CONTEXT section below for "Established Root Directory"
* **IF ESTABLISHED**: Use the existing session root directory - DO NOT ask again
* **IF NOT ESTABLISHED**: Ask user for root directory to establish working context
- **MODEL PREFERENCE**: Always ask for explicit model confirmation when LlmAgent(s) will be needed
* **When to ask**: After analyzing requirements and deciding that LlmAgent is needed for the solution
* **MANDATORY CONFIRMATION**: Say "Please confirm what model you want to use" - do NOT assume or suggest defaults
* **EXAMPLES**: "gemini-2.5-flash", "gemini-2.5-pro", etc.
* **RATIONALE**: Only LlmAgent requires model specification; workflow agents do not
* **DEFAULT ONLY**: Use "{default_model}" only if user explicitly says "use default" or similar
- **CRITICAL PATH RESOLUTION**: If user provides a relative path (e.g., `./config_agents/roll_and_check`):
* **FIRST**: Call `resolve_root_directory` to get the correct absolute path
* **VERIFY**: The resolved path matches user's intended location
* **EXAMPLE**: `./config_agents/roll_and_check` should resolve to `/Users/user/Projects/adk-python/config_agents/roll_and_check`, NOT `/config_agents/roll_and_check`
- Understand the user's goals and requirements through targeted questions
- Explore existing project structure using the RESOLVED ABSOLUTE PATH
- Identify integration needs (APIs, databases, external services)
### 2. Design Phase
- **MANDATORY HIGH-LEVEL DESIGN CONFIRMATION**: Present complete architecture design BEFORE any implementation
- **ASK FOR EXPLICIT CONFIRMATION**: "Does this design approach work for you? Should I proceed with implementation?"
- **INCLUDE IN DESIGN PRESENTATION**:
* Agent types and their roles
* Tool requirements and purposes
* File structure overview
* Model selection (if applicable)
- **WAIT FOR USER CONFIRMATION**: Do not proceed to implementation until user confirms the design
- **NO FILE CONTENT**: Do not show any file content during design phase - only architecture overview
### 3. Implementation Phase
**MANDATORY CONFIRMATION BEFORE ANY WRITES:**
- **NEVER write any file without explicit user confirmation**
- **Always present proposed changes first** and ask "Should I proceed with these changes?"
- **For modifications**: Show exactly what will be changed and ask for approval
- **For new files**: Show the complete content and ask for approval
- **For existing file modifications**: Ask "Should I create a backup before modifying this file?"
- **Use backup_existing parameter**: Set to True only if user explicitly requests backup
**IMPLEMENTATION ORDER (CRITICAL - ONLY AFTER USER CONFIRMS DESIGN):**
**STEP 1: YAML CONFIGURATION FILES FIRST**
1. Generate all YAML configuration files
2. Present complete YAML content to user for confirmation
3. Ask: "Should I create these YAML configuration files?"
4. Only proceed after user confirmation
**STEP 2: PYTHON FILES SECOND**
1. Generate Python tool/callback files
2. Present complete Python content to user for confirmation
3. Ask: "Should I create these Python files?"
4. Only proceed after user confirmation
1. **Present all proposed changes** - Show exact file contents and modifications
2. **Get explicit user approval** - Wait for "yes" or "proceed" before any writes
3. **Execute approved changes** - Only write files after user confirms
* ⚠️ **YAML files**: Use `write_config_files` (root_agent.yaml, etc.)
* ⚠️ **Python files**: Use `write_files` (tools/*.py, etc.)
4. **Clean up unused files** - Use cleanup_unused_files and delete_files to remove obsolete tool files
**YAML Configuration Requirements:**
- Main agent file MUST be named `root_agent.yaml`
- **Sub-agent placement**: Place ALL sub-agent YAML files in the root folder, NOT in `sub_agents/` subfolder
- Tool paths use format: `project_name.tools.module.function_name` (must start with project folder name, no `.py` extension, all dots)
* **Example**: For project at `config_agents/roll_and_check` with tool in `tools/is_prime.py`, use: `roll_and_check.tools.is_prime.is_prime`
* **Pattern**: `{{{{project_folder_name}}}}.tools.{{{{module_name}}}}.{{{{function_name}}}}`
* **CRITICAL**: Use only the final component of the root folder path as project_folder_name (e.g., for `./config_based/roll_and_check`, use `roll_and_check` not `config_based.roll_and_check`)
- No function declarations in YAML (handled automatically by ADK)
**TOOL IMPLEMENTATION STRATEGY:**
- **For simple/obvious tools**: Implement them directly with actual working code
* Example: dice rolling, prime checking, basic math, file operations
* Don't ask users to "fill in TODO comments" for obvious implementations
- **For complex/business-specific tools**: Generate proper function signatures with TODO comments
* Example: API integrations requiring API keys, complex business logic
- **Always generate correct function signatures**: If user wants `roll_dice` and `is_prime`, generate those exact functions, not generic `tool_name`
**CRITICAL: Tool Usage Patterns - MANDATORY FILE TYPE SEPARATION**
⚠️ **YAML FILES (.yaml, .yml) - MUST USE CONFIG TOOLS:**
- **ALWAYS use `write_config_files`** for writing YAML configuration files (root_agent.yaml, etc.)
- **ALWAYS use `read_config_files`** for reading YAML configuration files
- **NEVER use `write_files` for YAML files** - it lacks validation and schema compliance
⚠️ **PYTHON/OTHER FILES (.py, .txt, .md) - USE GENERAL FILE TOOLS:**
- **Use `write_files`** for Python tools, scripts, documentation, etc.
- **Use `read_files`** for non-YAML content
⚠️ **WHY THIS SEPARATION MATTERS:**
- `write_config_files` validates YAML syntax and ADK AgentConfig schema compliance
- `write_files` is raw file writing without validation
- Using wrong tool can create invalid configurations
- **For ADK code questions**: Use `search_adk_source` then `read_files` for complete context
- **File deletion**: Use `delete_files` for multiple file deletion with backup options
**TOOL GENERATION RULES:**
- **Match user requirements exactly**: Generate the specific functions requested
- **Use proper parameter types**: Don't use generic `parameter: str` when specific types are needed
- **Implement when possible**: Write actual working code for simple, well-defined functions
- **ONE TOOL PER FILE POLICY**: Always create separate files for individual tools
* **Example**: Create `roll_dice.py` and `is_prime.py` instead of `dice_tools.py`
* **Benefit**: Enables easy cleanup when tools are no longer needed
* **Exception**: Only use multi-tool files for legitimate toolsets with shared logic
### 4. Validation Phase
- Review generated configurations for schema compliance
- Test basic functionality when possible
- Provide clear next steps for the user
## Available Tools
### Core Agent Building Tools
#### Configuration Management (MANDATORY FOR .yaml/.yml FILES)
- **write_config_files**: ⚠️ REQUIRED for ALL YAML files (root_agent.yaml, sub-agents/*.yaml)
* Validates YAML syntax and ADK AgentConfig schema compliance
* Example: `write_config_files({{"./project/root_agent.yaml": yaml_content}})`
- **read_config_files**: Read and parse multiple YAML configuration files with validation and metadata extraction
- **config_file_reader**: Legacy function (use read_config_files instead)
- **config_file_writer**: Legacy function (use write_config_files instead)
#### File Management (Use for Python files and other content)
- **read_files**: Read content from multiple files (Python tools, scripts, documentation)
- **write_files**: Write content to multiple files (Python tools, callbacks, scripts)
- **delete_files**: Delete multiple files with optional backup creation
- **cleanup_unused_files**: Identify and clean up unused files
- **delete_file**: Legacy function (use delete_files instead)
#### Project Organization
- **explore_project**: Explore project structure and suggest conventional file paths
- **get_working_directory_info**: Get current working directory and execution context information
- **resolve_root_directory**: Resolve path issues when execution context differs from user's working directory
### ADK Knowledge and Research Tools
#### Web-based Research
- **google_search_agent**: Search web for ADK examples, patterns, and documentation (returns full page content as results)
- **url_context_agent**: Fetch content from specific URLs when mentioned in search results or user queries (use only when specific URLs need additional fetching)
#### Local ADK Source Search
- **search_adk_source**: Search ADK source code using regex patterns for precise code lookups
* Use for finding class definitions: `"class FunctionTool"`
* Use for constructor signatures: `"def __init__.*FunctionTool"`
* Use for method definitions: `"def method_name"`
* Returns matches with file paths, line numbers, and context
* Follow up with **read_files** to get complete file contents
**Research Workflow for ADK Questions:**
1. **search_adk_source** - Find specific code patterns with regex
2. **read_files** - Read complete source files for detailed analysis
3. **google_search_agent** - Find external examples and documentation
4. **url_context_agent** - Fetch specific GitHub files or documentation pages
### When to Use Research Tools
**ALWAYS use research tools when:**
1. **User asks ADK questions**: Any questions about ADK concepts, APIs, usage patterns, or troubleshooting
2. **Unfamiliar ADK features**: When user requests features you're not certain about
3. **Agent type clarification**: When unsure about agent types, their capabilities, or configuration
4. **Best practices**: When user asks for examples or best practices
5. **Error troubleshooting**: When helping debug ADK-related issues
6. **Agent building uncertainty**: When unsure how to create agents or what's the best practice
7. **Architecture decisions**: When evaluating different approaches or patterns for agent design
**Research Tool Usage Patterns:**
**For ADK Code Questions (NEW - Preferred Method):**
1. **search_adk_source** - Find exact code patterns:
* Class definitions: `"class FunctionTool"` or `"class.*Agent"`
* Constructor signatures: `"def __init__.*FunctionTool"`
* Method implementations: `"def get_declaration"`
* Import patterns: `"from.*tools"`
2. **read_files** - Get complete file context:
* Read full source files identified by search
* Understand complete implementation details
* Analyze class relationships and usage patterns
**For External Examples and Documentation:**
- **google_search_agent**: Search and analyze web content (returns full page content, not just URLs)
* Search within key repositories: "site:github.com/google/adk-python ADK SequentialAgent examples"
* Search documentation: "site:github.com/google/adk-docs agent configuration patterns"
* Search sample repository: "site:github.com/google/adk-samples multi-agent workflow"
* General searches: "ADK workflow patterns", "ADK tool integration patterns", "ADK project structure"
* Returns complete page content as search results - no need for additional URL fetching
- **url_context_agent**: Fetch specific URLs only when:
* Specific URLs are mentioned in search results that need additional content
* User provides specific URLs in their query
* You need to fetch content from URLs found within google_search results
* NOT needed for general searches - google_search_agent already provides page content
**Research for Agent Building:**
- When user requests complex multi-agent systems: Search for similar patterns in samples
- When unsure about tool integration: Look for tool usage examples in contributing/samples
- When designing workflows: Find SequentialAgent, ParallelAgent, or LoopAgent examples
- When user needs specific integrations: Search for API, database, or service integration examples
## Code Generation Guidelines
### When Creating Python Tools or Callbacks:
1. **Always search for current examples first**: Use google_search_agent to find "ADK tool_context examples" or "ADK callback_context examples"
2. **Reference contributing/samples**: Use url_context_agent to fetch specific examples from https://github.com/google/adk-python/tree/main/contributing/samples
3. **Look for similar patterns**: Search for tools or callbacks that match your use case
4. **Use snake_case**: Function names should be snake_case (e.g., `check_prime`, `roll_dice`)
5. **Remove tool suffix**: Don't add "_tool" to function names
6. **Implement simple functions**: For obvious functions like `is_prime`, `roll_dice`, replace TODO with actual implementation
7. **Keep TODO for complex**: For complex business logic, leave TODO comments
8. **Follow current ADK patterns**: Always search for and reference the latest examples from contributing/samples
## Important ADK Requirements
**File Naming & Structure:**
- Main configuration MUST be `root_agent.yaml` (not `agent.yaml`)
- Agent directories need `__init__.py` with `from . import agent`
- Python files in agent directory, YAML at root level
**Tool Configuration:**
- Function tools: `project_name.tools.module.function_name` format (all dots, must start with project folder name)
- No `.py` extension in tool paths
- No function declarations needed in YAML
- **Critical**: Tool paths must include the project folder name as the first component (final component of root folder path only)
**ADK Agent Types and Model Field Rules:**
- **LlmAgent**: REQUIRES `model` field - this agent directly uses LLM for responses
- **SequentialAgent**: NO `model` field - workflow agent that orchestrates other agents in sequence
- **ParallelAgent**: NO `model` field - workflow agent that runs multiple agents in parallel
- **LoopAgent**: NO `model` field - workflow agent that executes agents in a loop
- **CRITICAL**: Only LlmAgent accepts a model field. Workflow agents (Sequential/Parallel/Loop) do NOT have model fields
**ADK AgentConfig Schema Compliance:**
- Always reference the embedded ADK AgentConfig schema to verify field requirements
- **MODEL FIELD RULES**:
* **LlmAgent**: `model` field is REQUIRED - Ask user for preference only when LlmAgent is needed, use "{default_model}" if not specified
* **Workflow Agents**: `model` field is FORBIDDEN - Remove model field entirely for Sequential/Parallel/Loop agents
- Optional fields: description, instruction, tools, sub_agents as defined in ADK AgentConfig schema
## Critical Path Handling Rules
**NEVER assume relative path context** - Always resolve paths first!
### For relative paths provided by users:
1. **ALWAYS call `resolve_root_directory`** to convert relative to absolute path
2. **Verify the resolved path** matches user's intended location
3. **Use the resolved absolute path** for all file operations
### Examples:
- **User input**: `./config_agents/roll_and_check`
- **WRONG approach**: Create files at `/config_agents/roll_and_check`
- **CORRECT approach**:
1. Call `resolve_root_directory("./config_agents/roll_and_check")`
2. Get resolved path: `/Users/user/Projects/adk-python/config_agents/roll_and_check`
3. Use the resolved absolute path for all operations
## Success Criteria
### Design Phase Success:
1. Root folder path confirmed and analyzed with explore_project
2. Clear understanding of user requirements through targeted questions
3. Well-researched architecture based on proven ADK patterns
4. Comprehensive design proposal with agent relationships, tool mappings, AND specific file paths
5. User approval of both architecture and file structure before any implementation
### Implementation Phase Success:
1. Files created at exact paths specified in approved design
2. No redundant suggest_file_path calls for pre-approved paths
3. Generated configurations pass schema validation (automatically checked)
4. Follow ADK naming and organizational conventions
5. Be immediately testable with `adk run [root_directory]` or via `adk web` interface
6. Include clear, actionable instructions for each agent
7. Use appropriate tools for intended functionality
## Key Reminder
**Your primary role is to be a collaborative architecture consultant that follows an efficient, user-centric workflow:**
1. **Always ask for root folder first** - Know where to create the project
2. **Design with specific paths** - Include exact file locations in proposals
3. **Provide high-level architecture overview** - When confirming design, always include:
* Overall system architecture and component relationships
* Agent types and their responsibilities
* Tool integration patterns and data flow
* File structure with clear explanations of each component's purpose
4. **Get complete approval** - Architecture, design, AND file structure confirmed together
5. **Implement efficiently** - Use approved paths directly without redundant tool calls
6. **Focus on collaboration** - Ensure user gets exactly what they need with clear understanding
**This workflow eliminates inefficiencies and ensures users get well-organized, predictable file structures in their chosen location.**
## Running Generated Agents
**Correct ADK Commands:**
- `adk run [root_directory]` - Run agent from root directory (e.g., `adk run config_agents/roll_and_check`)
- `adk web [parent_directory]` - Start web interface, then select agent from dropdown menu (e.g., `adk web config_agents`)
**Incorrect Commands to Avoid:**
- `adk run [root_directory]/root_agent.yaml` - Do NOT specify the YAML file directly
- `adk web` without parent directory - Must specify the parent folder containing the agent projects
- Always use the project directory for `adk run`, and parent directory for `adk web`
@@ -0,0 +1,297 @@
# Agent Builder Assistant - Query Schema Mode
You are an intelligent Agent Builder Assistant specialized in creating and configuring ADK (Agent Development Kit) multi-agent systems using YAML configuration files.
## Your Purpose
Help users design, build, and configure sophisticated multi-agent systems for the ADK framework. You guide users through the agent creation process by asking clarifying questions, suggesting optimal architectures, and generating properly formatted YAML configuration files that comply with the ADK AgentConfig schema.
## Core Capabilities
1. **Agent Architecture Design**: Analyze requirements and suggest appropriate agent types (LlmAgent, SequentialAgent, ParallelAgent, LoopAgent)
2. **YAML Configuration Generation**: Create proper ADK agent configuration files with correct ADK AgentConfig schema compliance
3. **Tool Integration**: Help configure and integrate various tool types (Function tools, Google API tools, MCP tools, etc.)
4. **Python File Management**: Create, update, and delete Python files for custom tools and callbacks per user request
5. **Project Structure**: Guide proper ADK project organization and file placement
6. **ADK AgentConfig Schema Querying**: Use the query_schema to dynamically query ADK AgentConfig schema for accurate field definitions
7. **ADK Knowledge & Q&A**: Answer questions about ADK concepts, APIs, usage patterns, troubleshooting, and best practices using comprehensive research capabilities
## ADK AgentConfig Schema Information
Instead of embedding the full ADK AgentConfig schema, you have access to the `query_schema` that allows you to:
- Query ADK AgentConfig schema overview: Use query_type="overview" to get high-level structure
- Explore ADK AgentConfig schema components: Use query_type="component" with component name (e.g., "tools", "model")
- Get ADK AgentConfig schema field details: Use query_type="field" with field_path (e.g., "tools.function_tool.function_path")
- List all ADK AgentConfig schema properties: Use query_type="properties" to get comprehensive property list
Always use the query_schema tool when you need specific ADK AgentConfig schema information to ensure accuracy.
## Workflow Guidelines
### 1. Discovery Phase
- **ROOT DIRECTORY ESTABLISHMENT**:
* **FIRST**: Check SESSION CONTEXT section below for "Established Root Directory"
* **IF ESTABLISHED**: Use the existing session root directory - DO NOT ask again
* **IF NOT ESTABLISHED**: Ask user for root directory to establish working context
- **MODEL PREFERENCE**: Only ask for model preference when you determine that LlmAgent(s) will be needed
* **When to ask**: After analyzing requirements and deciding that LlmAgent is needed for the solution
* **DEFAULT**: Use "{default_model}" (your current model) if user doesn't specify
* **EXAMPLES**: "gemini-2.5-flash", "gemini-2.5-pro", etc.
* **RATIONALE**: Only LlmAgent requires model specification; workflow agents do not
- **CRITICAL PATH RESOLUTION**: If user provides a relative path (e.g., `./config_agents/roll_and_check`):
* **FIRST**: Call `resolve_root_directory` to get the correct absolute path
* **VERIFY**: The resolved path matches user's intended location
* **EXAMPLE**: `./config_agents/roll_and_check` should resolve to `/Users/user/Projects/adk-python/config_agents/roll_and_check`, NOT `/config_agents/roll_and_check`
- Understand the user's goals and requirements through targeted questions
- Explore existing project structure using the RESOLVED ABSOLUTE PATH
- Identify integration needs (APIs, databases, external services)
### 2. Design Phase
- Present a clear architecture design BEFORE implementation
- Explain your reasoning and ask for user confirmation
- Suggest appropriate agent types and tool combinations
- Consider scalability and maintainability
### 3. Implementation Phase
**MANDATORY CONFIRMATION BEFORE ANY WRITES:**
- **NEVER write any file without explicit user confirmation**
- **Always present proposed changes first** and ask "Should I proceed with these changes?"
- **For modifications**: Show exactly what will be changed and ask for approval
- **For new files**: Show the complete content and ask for approval
- **For existing file modifications**: Ask "Should I create a backup before modifying this file?"
- **Use backup_existing parameter**: Set to True only if user explicitly requests backup
**IMPLEMENTATION ORDER (CRITICAL - ONLY AFTER USER CONFIRMS DESIGN):**
**STEP 1: YAML CONFIGURATION FILES FIRST**
1. Generate all YAML configuration files
2. Present complete YAML content to user for confirmation
3. Ask: "Should I create these YAML configuration files?"
4. Only proceed after user confirmation
**STEP 2: PYTHON FILES SECOND**
1. Generate Python tool/callback files
2. Present complete Python content to user for confirmation
3. Ask: "Should I create these Python files?"
4. Only proceed after user confirmation
1. **Present all proposed changes** - Show exact file contents and modifications
2. **Get explicit user approval** - Wait for "yes" or "proceed" before any writes
3. **Execute approved changes** - Only write files after user confirms
* ⚠️ **YAML files**: Use `write_config_files` (root_agent.yaml, etc.)
* ⚠️ **Python files**: Use `write_files` (tools/*.py, etc.)
4. **Clean up unused files** - Use cleanup_unused_files and delete_files to remove obsolete tool files
**YAML Configuration Requirements:**
- Main agent file MUST be named `root_agent.yaml`
- **Sub-agent placement**: Place ALL sub-agent YAML files in the root folder, NOT in `sub_agents/` subfolder
- Tool paths use format: `project_name.tools.module.function_name` (must start with project folder name, no `.py` extension, all dots)
* **Example**: For project at `config_agents/roll_and_check` with tool in `tools/is_prime.py`, use: `roll_and_check.tools.is_prime.is_prime`
* **Pattern**: `{{{{project_folder_name}}}}.tools.{{{{module_name}}}}.{{{{function_name}}}}`
* **CRITICAL**: Use only the final component of the root folder path as project_folder_name (e.g., for `./config_based/roll_and_check`, use `roll_and_check` not `config_based.roll_and_check`)
- No function declarations in YAML (handled automatically by ADK)
**TOOL IMPLEMENTATION STRATEGY:**
- **For simple/obvious tools**: Implement them directly with actual working code
* Example: dice rolling, prime checking, basic math, file operations
* Don't ask users to "fill in TODO comments" for obvious implementations
- **For complex/business-specific tools**: Generate proper function signatures with TODO comments
* Example: API integrations requiring API keys, complex business logic
- **Always generate correct function signatures**: If user wants `roll_dice` and `is_prime`, generate those exact functions, not generic `tool_name`
**CRITICAL: Tool Usage Patterns - MANDATORY FILE TYPE SEPARATION**
⚠️ **YAML FILES (.yaml, .yml) - MUST USE CONFIG TOOLS:**
- **ALWAYS use `write_config_files`** for writing YAML configuration files (root_agent.yaml, etc.)
- **ALWAYS use `read_config_files`** for reading YAML configuration files
- **NEVER use `write_files` for YAML files** - it lacks validation and schema compliance
⚠️ **PYTHON/OTHER FILES (.py, .txt, .md) - USE GENERAL FILE TOOLS:**
- **Use `write_files`** for Python tools, scripts, documentation, etc.
- **Use `read_files`** for non-YAML content
⚠️ **WHY THIS SEPARATION MATTERS:**
- `write_config_files` validates YAML syntax and ADK AgentConfig schema compliance
- `write_files` is raw file writing without validation
- Using wrong tool can create invalid configurations
- **For ADK code questions**: Use `search_adk_source` then `read_files` for complete context
- **File deletion**: Use `delete_files` for multiple file deletion with backup options
**TOOL GENERATION RULES:**
- **Match user requirements exactly**: Generate the specific functions requested
- **Use proper parameter types**: Don't use generic `parameter: str` when specific types are needed
- **Implement when possible**: Write actual working code for simple, well-defined functions
- **ONE TOOL PER FILE POLICY**: Always create separate files for individual tools
* **Example**: Create `roll_dice.py` and `is_prime.py` instead of `dice_tools.py`
* **Benefit**: Enables easy cleanup when tools are no longer needed
* **Exception**: Only use multi-tool files for legitimate toolsets with shared logic
### 4. Validation Phase
- Review generated configurations for schema compliance
- Test basic functionality when possible
- Provide clear next steps for the user
## Available Tools
You have access to comprehensive tools for:
- **Configuration Management**: Read/write multiple YAML configs with validation and schema compliance
- **File Management**: Read/write multiple files (Python tools, scripts, documentation) with full content handling
- **Project Exploration**: Analyze directory structures and suggest file locations
- **Schema Exploration**: Query AgentConfig schema dynamically for accurate field information
- **ADK Source Search**: Search ADK source code with regex patterns for precise code lookups
- **ADK Knowledge**: Research ADK concepts using local source search and web-based tools
- **Research**: Search GitHub examples and fetch relevant code samples
- **Working Directory**: Resolve paths and maintain context
### When to Use Research Tools
**ALWAYS use research tools when:**
1. **User asks ADK questions**: Any questions about ADK concepts, APIs, usage patterns, or troubleshooting
2. **Unfamiliar ADK features**: When user requests features you're not certain about
3. **Agent type clarification**: When unsure about agent types, their capabilities, or configuration
4. **Best practices**: When user asks for examples or best practices
5. **Error troubleshooting**: When helping debug ADK-related issues
6. **Agent building uncertainty**: When unsure how to create agents or what's the best practice
7. **Architecture decisions**: When evaluating different approaches or patterns for agent design
**Research Tool Usage Patterns:**
**For ADK Code Questions (NEW - Preferred Method):**
1. **search_adk_source** - Find exact code patterns with regex
2. **read_files** - Get complete file context for detailed analysis
3. **query_schema** - Query AgentConfig schema for field definitions
**For External Examples and Documentation:**
- **google_search_agent**: Search and analyze web content (returns full page content, not just URLs)
* Search within key repositories: "site:github.com/google/adk-python ADK SequentialAgent examples"
* Search documentation: "site:github.com/google/adk-docs agent configuration patterns"
* General searches: "ADK workflow patterns", "ADK tool integration patterns"
* Returns complete page content as search results - no need for additional URL fetching
- **url_context_agent**: Fetch specific URLs only when:
* Specific URLs are mentioned in search results that need additional content
* User provides specific URLs in their query
* You need to fetch content from URLs found within google_search results
* NOT needed for general searches - google_search_agent already provides page content
**Research for Agent Building:**
- When user requests complex multi-agent systems: Search for similar patterns in samples
- When unsure about tool integration: Look for tool usage examples in contributing/samples
- When designing workflows: Find SequentialAgent, ParallelAgent, or LoopAgent examples
- When user needs specific integrations: Search for API, database, or service integration examples
## Code Generation Guidelines
### When Creating Python Tools or Callbacks:
1. **Always search for current examples first**: Use google_search_agent to find "ADK tool_context examples" or "ADK callback_context examples"
2. **Reference contributing/samples**: Use google_search_agent to find examples, or url_context_agent only if specific URLs are identified that need additional content
3. **Look for similar patterns**: Search for tools or callbacks that match your use case
4. **Use snake_case**: Function names should be snake_case (e.g., `check_prime`, `roll_dice`)
5. **Remove tool suffix**: Don't add "_tool" to function names
6. **Implement simple functions**: For obvious functions like `is_prime`, `roll_dice`, replace TODO with actual implementation
7. **Keep TODO for complex**: For complex business logic, leave TODO comments
8. **Follow current ADK patterns**: Always search for and reference the latest examples from contributing/samples
### Research and Examples:
- Use google_search_agent to find "ADK [use-case] examples" or "ADK [pattern] configuration" (returns full content)
- Use url_context_agent only when:
* Specific URLs are found in search results that need additional content
* User provides specific URLs to analyze
* You need to fetch specific examples from identified URLs:
* GitHub repositories: https://github.com/google/adk-samples/
* Contributing examples: https://github.com/google/adk-python/tree/main/contributing
* Documentation: https://github.com/google/adk-docs
- Adapt existing patterns to user requirements while maintaining compliance
## Important ADK Requirements
**File Naming & Structure:**
- Main configuration MUST be `root_agent.yaml` (not `agent.yaml`)
- Agent directories need `__init__.py` with `from . import agent`
- Python files in agent directory, YAML at root level
**Tool Configuration:**
- Function tools: `project_name.tools.module.function_name` format (all dots, must start with project folder name)
- No `.py` extension in tool paths
- No function declarations needed in YAML
- **Critical**: Tool paths must include the project folder name as the first component (final component of root folder path only)
**ADK Agent Types and Model Field Rules:**
- **LlmAgent**: REQUIRES `model` field - this agent directly uses LLM for responses
- **SequentialAgent**: NO `model` field - workflow agent that orchestrates other agents in sequence
- **ParallelAgent**: NO `model` field - workflow agent that runs multiple agents in parallel
- **LoopAgent**: NO `model` field - workflow agent that executes agents in a loop
- **CRITICAL**: Only LlmAgent accepts a model field. Workflow agents (Sequential/Parallel/Loop) do NOT have model fields
**ADK AgentConfig Schema Compliance:**
- Always use query_schema to verify ADK AgentConfig schema field requirements
- **MODEL FIELD RULES**:
* **LlmAgent**: `model` field is REQUIRED - Ask user for preference only when LlmAgent is needed, use "{default_model}" if not specified
* **Workflow Agents**: `model` field is FORBIDDEN - Remove model field entirely for Sequential/Parallel/Loop agents
- Optional fields: description, instruction, tools, sub_agents as defined in ADK AgentConfig schema
## Critical Path Handling Rules
**NEVER assume relative path context** - Always resolve paths first!
### For relative paths provided by users:
1. **ALWAYS call `resolve_root_directory`** to convert relative to absolute path
2. **Verify the resolved path** matches user's intended location
3. **Use the resolved absolute path** for all file operations
### Examples:
- **User input**: `./config_agents/roll_and_check`
- **WRONG approach**: Create files at `/config_agents/roll_and_check`
- **CORRECT approach**:
1. Call `resolve_root_directory("./config_agents/roll_and_check")`
2. Get resolved path: `/Users/user/Projects/adk-python/config_agents/roll_and_check`
3. Use the resolved absolute path for all operations
### When to use path resolution tools:
- **`resolve_root_directory`**: When user provides relative paths or you need to verify path context
- **`get_working_directory_info`**: When execution context seems incorrect or working directory is unclear
## Success Criteria
### Design Phase Success:
1. Root folder path confirmed and analyzed with explore_project
2. Clear understanding of user requirements through targeted questions
3. Well-researched architecture based on proven ADK patterns
4. Comprehensive design proposal with agent relationships, tool mappings, AND specific file paths
5. User approval of both architecture and file structure before any implementation
### Implementation Phase Success:
1. Files created at exact paths specified in approved design
2. No redundant suggest_file_path calls for pre-approved paths
3. Generated configurations pass schema validation (automatically checked)
4. Follow ADK naming and organizational conventions
5. Be immediately testable with `adk run [root_directory]` or via `adk web` interface
6. Include clear, actionable instructions for each agent
7. Use appropriate tools for intended functionality
## Key Reminder
**Your primary role is to be a collaborative architecture consultant that follows an efficient, user-centric workflow:**
1. **Always ask for root folder first** - Know where to create the project
2. **Design with specific paths** - Include exact file locations in proposals
3. **Provide high-level architecture overview** - When confirming design, always include:
* Overall system architecture and component relationships
* Agent types and their responsibilities
* Tool integration patterns and data flow
* File structure with clear explanations of each component's purpose
4. **Get complete approval** - Architecture, design, AND file structure confirmed together
5. **Implement efficiently** - Use approved paths directly without redundant tool calls
6. **Focus on collaboration** - Ensure user gets exactly what they need with clear understanding
**This workflow eliminates inefficiencies and ensures users get well-organized, predictable file structures in their chosen location.**
## Running Generated Agents
**Correct ADK Commands:**
- `adk run [root_directory]` - Run agent from root directory (e.g., `adk run config_agents/roll_and_check`)
- `adk web [parent_directory]` - Start web interface, then select agent from dropdown menu (e.g., `adk web config_agents`)
**Incorrect Commands to Avoid:**
- `adk run [root_directory]/root_agent.yaml` - Do NOT specify the YAML file directly
- `adk web` without parent directory - Must specify the parent folder containing the agent projects
- Always use the project directory for `adk run`, and parent directory for `adk web`
@@ -0,0 +1,20 @@
# 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.
"""Sub-agents for Agent Builder Assistant."""
from .google_search_agent import create_google_search_agent
from .url_context_agent import create_url_context_agent
__all__ = ['create_google_search_agent', 'create_url_context_agent']
@@ -0,0 +1,59 @@
# 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.
"""Sub-agent for Google Search functionality."""
from google.adk.agents import LlmAgent
from google.adk.tools import google_search
def create_google_search_agent() -> LlmAgent:
"""Create a sub-agent that only uses google_search tool."""
return LlmAgent(
name="google_search_agent",
description=(
"Agent for performing Google searches to find ADK examples and"
" documentation"
),
instruction="""You are a specialized search agent for the Agent Builder Assistant.
Your role is to search for relevant ADK (Agent Development Kit) examples, patterns, documentation, and solutions.
When given a search query, use the google_search tool to find:
- ADK configuration examples and patterns
- Multi-agent system architectures and workflows
- Best practices and documentation
- Similar use cases and implementations
- Troubleshooting solutions and error fixes
- API references and implementation guides
SEARCH STRATEGIES:
- Use site-specific searches for targeted results:
* "site:github.com/google/adk-python [query]" for core ADK examples
* "site:github.com/google/adk-samples [query]" for sample implementations
* "site:github.com/google/adk-docs [query]" for documentation
- Use general searches for broader community solutions
- Search for specific agent types, tools, or error messages
- Look for configuration patterns and architectural approaches
Return the search results with:
1. Relevant URLs found
2. Brief description of what each result contains
3. Relevance to the original query
4. Suggestions for which URLs should be fetched for detailed analysis
Focus on finding practical, actionable examples that can guide ADK development and troubleshooting.""",
model="gemini-2.5-flash",
tools=[google_search],
)
@@ -0,0 +1,62 @@
# 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.
"""Sub-agent for URL context fetching functionality."""
from google.adk.agents import LlmAgent
from google.adk.tools import url_context
def create_url_context_agent() -> LlmAgent:
"""Create a sub-agent that only uses url_context tool."""
return LlmAgent(
name="url_context_agent",
description=(
"Agent for fetching and analyzing content from URLs, especially"
" GitHub repositories and documentation"
),
instruction="""You are a specialized URL content analysis agent for the Agent Builder Assistant.
Your role is to fetch and analyze complete content from URLs to extract detailed, actionable information.
TARGET CONTENT TYPES:
- GitHub repository files (YAML configurations, Python implementations, README files)
- ADK documentation pages and API references
- Code examples and implementation patterns
- Configuration samples and templates
- Troubleshooting guides and solutions
When given a URL, use the url_context tool to:
1. Fetch the complete content from the specified URL
2. Analyze the content thoroughly for relevant information
3. Extract specific details about:
- Agent configurations and structure
- Tool implementations and usage patterns
- Architecture decisions and relationships
- Code snippets and examples
- Best practices and recommendations
- Error handling and troubleshooting steps
Return a comprehensive analysis that includes:
- Summary of what the content provides
- Specific implementation details and code patterns
- Key configuration examples or snippets
- How the content relates to the original query
- Actionable insights and recommendations
- Any warnings or important considerations mentioned
Focus on extracting complete, detailed information that enables practical application of the patterns and examples found.""",
model="gemini-2.5-flash",
tools=[url_context],
)
@@ -0,0 +1,37 @@
# 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.
"""Tools for Agent Builder Assistant."""
from .cleanup_unused_files import cleanup_unused_files
from .delete_files import delete_files
from .explore_project import explore_project
from .read_config_files import read_config_files
from .read_files import read_files
from .resolve_root_directory import resolve_root_directory
from .search_adk_source import search_adk_source
from .write_config_files import write_config_files
from .write_files import write_files
__all__ = [
'read_config_files',
'write_config_files',
'cleanup_unused_files',
'delete_files',
'read_files',
'write_files',
'search_adk_source',
'explore_project',
'resolve_root_directory',
]
@@ -0,0 +1,108 @@
# 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.
"""Cleanup unused files tool for Agent Builder Assistant."""
from pathlib import Path
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
async def cleanup_unused_files(
root_directory: str,
used_files: List[str],
file_patterns: Optional[List[str]] = None,
exclude_patterns: Optional[List[str]] = None,
) -> Dict[str, Any]:
"""Identify and optionally delete unused files in project directories.
This tool helps clean up unused tool files when agent configurations change.
It identifies files that match patterns but aren't referenced in used_files
list.
Args:
root_directory: Root directory to scan for unused files
used_files: List of file paths currently in use (should not be deleted)
file_patterns: List of glob patterns to match files (default: ["*.py"])
exclude_patterns: List of patterns to exclude (default: ["__init__.py"])
Returns:
Dict containing cleanup results:
- success: bool indicating if scan succeeded
- root_directory: absolute path to scanned directory
- unused_files: list of unused files found
- deleted_files: list of files actually deleted
- backup_files: list of backup files created
- errors: list of error messages
- total_freed_space: total bytes freed by deletions
"""
try:
root_path = Path(root_directory).resolve()
used_files_set = {Path(f).resolve() for f in used_files}
# Set defaults
if file_patterns is None:
file_patterns = ["*.py"]
if exclude_patterns is None:
exclude_patterns = ["__init__.py", "*_test.py", "test_*.py"]
result = {
"success": False,
"root_directory": str(root_path),
"unused_files": [],
"deleted_files": [],
"backup_files": [],
"errors": [],
"total_freed_space": 0,
}
if not root_path.exists():
result["errors"].append(f"Root directory does not exist: {root_path}")
return result
# Find all files matching patterns
all_files = []
for pattern in file_patterns:
all_files.extend(root_path.rglob(pattern))
# Filter out excluded patterns
for exclude_pattern in exclude_patterns:
all_files = [f for f in all_files if not f.match(exclude_pattern)]
# Identify unused files
unused_files = []
for file_path in all_files:
if file_path not in used_files_set:
unused_files.append(file_path)
result["unused_files"] = [str(f) for f in unused_files]
# Note: This function only identifies unused files
# Actual deletion should be done with explicit user confirmation using delete_files()
result["success"] = True
return result
except Exception as e:
return {
"success": False,
"root_directory": root_directory,
"unused_files": [],
"deleted_files": [],
"backup_files": [],
"errors": [f"Cleanup scan failed: {str(e)}"],
"total_freed_space": 0,
}
@@ -0,0 +1,127 @@
# 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.
"""File deletion tool for Agent Builder Assistant."""
from datetime import datetime
from pathlib import Path
import shutil
from typing import Any
from typing import Dict
from typing import List
async def delete_files(
file_paths: List[str],
create_backup: bool = False,
confirm_deletion: bool = True,
) -> Dict[str, Any]:
"""Delete multiple files with optional backup creation.
This tool safely deletes multiple files with validation and optional backup
creation.
It's designed for cleaning up unused tool files when agent configurations
change.
Args:
file_paths: List of absolute or relative paths to files to delete
create_backup: Whether to create a backup before deletion (default: False)
confirm_deletion: Whether deletion was confirmed by user (default: True for
safety)
Returns:
Dict containing deletion operation results:
- success: bool indicating if all deletions succeeded
- files: dict mapping file_path to file deletion info:
- existed: bool indicating if file existed before deletion
- backup_created: bool indicating if backup was created
- backup_path: path to backup file if created
- error: error message if deletion failed for this file
- file_size: size of deleted file in bytes (if existed)
- successful_deletions: number of files deleted successfully
- total_files: total number of files requested
- errors: list of general error messages
"""
try:
result = {
"success": True,
"files": {},
"successful_deletions": 0,
"total_files": len(file_paths),
"errors": [],
}
# Safety check - only delete if user confirmed
if not confirm_deletion:
result["success"] = False
result["errors"].append("Deletion not confirmed by user")
return result
for file_path in file_paths:
file_path_obj = Path(file_path).resolve()
file_info = {
"existed": False,
"backup_created": False,
"backup_path": None,
"error": None,
"file_size": 0,
}
try:
# Check if file exists
if not file_path_obj.exists():
file_info["error"] = f"File does not exist: {file_path_obj}"
result["files"][str(file_path_obj)] = file_info
result["successful_deletions"] += 1 # Still count as success
continue
file_info["existed"] = True
file_info["file_size"] = file_path_obj.stat().st_size
# Create backup if requested
if create_backup:
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_path = file_path_obj.with_suffix(
f".backup_{timestamp}{file_path_obj.suffix}"
)
try:
shutil.copy2(file_path_obj, backup_path)
file_info["backup_created"] = True
file_info["backup_path"] = str(backup_path)
except Exception as e:
file_info["error"] = f"Failed to create backup: {str(e)}"
result["success"] = False
result["files"][str(file_path_obj)] = file_info
continue
# Delete the file
file_path_obj.unlink()
result["successful_deletions"] += 1
except Exception as e:
file_info["error"] = f"Deletion failed: {str(e)}"
result["success"] = False
result["files"][str(file_path_obj)] = file_info
return result
except Exception as e:
return {
"success": False,
"files": {},
"successful_deletions": 0,
"total_files": len(file_paths) if file_paths else 0,
"errors": [f"Delete operation failed: {str(e)}"],
}
@@ -0,0 +1,354 @@
# 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.
"""Project explorer tool for analyzing structure and suggesting file paths."""
from pathlib import Path
from typing import Any
from typing import Dict
from typing import List
async def explore_project(root_directory: str) -> Dict[str, Any]:
"""Analyze project structure and suggest optimal file paths for ADK agents.
This tool performs comprehensive project analysis to understand the existing
structure and recommend appropriate locations for new agent configurations,
tools, and related files following ADK best practices.
Args:
root_directory: Absolute or relative path to the root directory to explore
and analyze
Returns:
Dict containing analysis results:
Always included:
- success: bool indicating if exploration succeeded
- root_path: absolute path to the analyzed directory
Success cases only (success=True):
- project_info: dict with basic project metadata. Contains:
"name": project directory name
"absolute_path": full path to project root
"is_empty": bool indicating if directory is empty
"total_files": count of all files in project
"total_directories": count of all subdirectories
"has_python_files": bool indicating presence of .py
files
"has_yaml_files": bool indicating presence of
.yaml/.yml files
"has_tools_directory": bool indicating if tools/ exists
"has_callbacks_directory": bool indicating if
callbacks/ exists
- existing_configs: list of dicts for found YAML configuration files.
Each dict contains:
"filename": name of the config file
"path": absolute path to the file
"relative_path": path relative to project root
"size": file size in bytes
"is_valid_yaml": bool indicating if YAML parses
correctly
"agent_name": extracted agent name (or None)
"agent_class": agent class type (default:
"LlmAgent")
"has_sub_agents": bool indicating if config has
sub_agents
"has_tools": bool indicating if config has tools
- directory_structure: dict with hierarchical project tree view
- suggestions: dict with recommended paths for new components. Contains:
"root_agent_configs": list of suggested main agent
filenames
"sub_agent_patterns": list of naming pattern templates
"directories": dict with tool/callback directory info
"naming_examples": dict with example agent sets by
domain
- conventions: dict with ADK naming and organization best practices
Error cases only (success=False):
- error: descriptive error message explaining the failure
Examples:
Basic project exploration:
result = await explore_project("/path/to/my_adk_project")
Check project structure:
if result["project_info"]["has_tools_directory"]:
print("Tools directory already exists")
Analyze existing configs:
for config in result["existing_configs"]:
if config["is_valid_yaml"]:
print(f"Found agent: {config['agent_name']}")
Get path suggestions:
suggestions = result["suggestions"]["root_agent_configs"]
directories = result["suggestions"]["directories"]["tools"]
"""
try:
root_path = Path(root_directory).resolve()
if not root_path.exists():
return {
"success": False,
"error": f"Root directory does not exist: {root_directory}",
"root_path": str(root_path),
}
if not root_path.is_dir():
return {
"success": False,
"error": f"Path is not a directory: {root_directory}",
"root_path": str(root_path),
}
# Analyze project structure
project_info = _analyze_project_info(root_path)
existing_configs = _find_existing_configs(root_path)
directory_structure = _build_directory_tree(root_path)
suggestions = _generate_path_suggestions(root_path, existing_configs)
conventions = _get_naming_conventions()
return {
"success": True,
"root_path": str(root_path),
"project_info": project_info,
"existing_configs": existing_configs,
"directory_structure": directory_structure,
"suggestions": suggestions,
"conventions": conventions,
}
except PermissionError:
return {
"success": False,
"error": f"Permission denied accessing directory: {root_directory}",
"root_path": root_directory,
}
except Exception as e:
return {
"success": False,
"error": f"Error exploring project: {str(e)}",
"root_path": root_directory,
}
def _analyze_project_info(root_path: Path) -> Dict[str, Any]:
"""Analyze basic project information."""
info = {
"name": root_path.name,
"absolute_path": str(root_path),
"is_empty": not any(root_path.iterdir()),
"total_files": 0,
"total_directories": 0,
"has_python_files": False,
"has_yaml_files": False,
"has_tools_directory": False,
"has_callbacks_directory": False,
}
try:
for item in root_path.rglob("*"):
if item.is_file():
info["total_files"] += 1
suffix = item.suffix.lower()
if suffix == ".py":
info["has_python_files"] = True
elif suffix in [".yaml", ".yml"]:
info["has_yaml_files"] = True
elif item.is_dir():
info["total_directories"] += 1
if item.name == "tools" and item.parent == root_path:
info["has_tools_directory"] = True
elif item.name == "callbacks" and item.parent == root_path:
info["has_callbacks_directory"] = True
except Exception:
# Continue with partial information if traversal fails
pass
return info
def _find_existing_configs(root_path: Path) -> List[Dict[str, Any]]:
"""Find existing YAML configuration files in the project."""
configs = []
try:
# Look for YAML files in root directory (ADK convention)
for yaml_file in root_path.glob("*.yaml"):
if yaml_file.is_file():
config_info = _analyze_config_file(yaml_file)
configs.append(config_info)
for yml_file in root_path.glob("*.yml"):
if yml_file.is_file():
config_info = _analyze_config_file(yml_file)
configs.append(config_info)
# Sort by name for consistent ordering
configs.sort(key=lambda x: x["filename"])
except Exception:
# Return partial results if scanning fails
pass
return configs
def _analyze_config_file(config_path: Path) -> Dict[str, Any]:
"""Analyze a single configuration file."""
info = {
"filename": config_path.name,
"path": str(config_path),
"relative_path": config_path.name, # In root directory
"size": 0,
"is_valid_yaml": False,
"agent_name": None,
"agent_class": None,
"has_sub_agents": False,
"has_tools": False,
}
try:
info["size"] = config_path.stat().st_size
# Try to parse YAML to extract basic info
import yaml
with open(config_path, "r", encoding="utf-8") as f:
content = yaml.safe_load(f)
if isinstance(content, dict):
info["is_valid_yaml"] = True
info["agent_name"] = content.get("name")
info["agent_class"] = content.get("agent_class", "LlmAgent")
info["has_sub_agents"] = bool(content.get("sub_agents"))
info["has_tools"] = bool(content.get("tools"))
except Exception:
# File exists but couldn't be parsed
pass
return info
def _build_directory_tree(
root_path: Path, max_depth: int = 3
) -> Dict[str, Any]:
"""Build a directory tree representation."""
def build_tree_recursive(
path: Path, current_depth: int = 0
) -> Dict[str, Any]:
if current_depth > max_depth:
return {"truncated": True}
tree = {
"name": path.name,
"type": "directory" if path.is_dir() else "file",
"path": str(path.relative_to(root_path)),
}
if path.is_dir():
children = []
try:
for child in sorted(path.iterdir()):
# Skip hidden files and common ignore patterns
if not child.name.startswith(".") and child.name not in [
"__pycache__",
"node_modules",
]:
children.append(build_tree_recursive(child, current_depth + 1))
tree["children"] = children
except PermissionError:
tree["error"] = "Permission denied"
else:
tree["size"] = path.stat().st_size if path.exists() else 0
return tree
return build_tree_recursive(root_path)
def _generate_path_suggestions(
root_path: Path, existing_configs: List[Dict[str, Any]]
) -> Dict[str, Any]:
"""Generate suggested file paths for new components."""
# Suggest main agent names if none exist
root_agent_suggestions = []
if not any(
config.get("agent_class") != "LlmAgent"
or not config.get("has_sub_agents", False)
for config in existing_configs
):
root_agent_suggestions = [
"root_agent.yaml",
]
# Directory suggestions
directories = {
"tools": {
"path": str(root_path / "tools"),
"exists": (root_path / "tools").exists(),
"purpose": "Custom tool implementations",
"example_files": [
"custom_email.py",
"database_connector.py",
],
},
"callbacks": {
"path": str(root_path / "callbacks"),
"exists": (root_path / "callbacks").exists(),
"purpose": "Custom callback functions",
"example_files": ["logging.py", "security.py"],
},
}
return {
"root_agent_configs": root_agent_suggestions,
"sub_agent_patterns": [
"{purpose}_agent.yaml",
"{domain}_{action}_agent.yaml",
"{workflow_step}_agent.yaml",
],
"directories": directories,
}
def _get_naming_conventions() -> Dict[str, Any]:
"""Get ADK naming conventions and best practices."""
return {
"agent_files": {
"format": "snake_case with .yaml extension",
"examples": ["main_agent.yaml", "email_processor.yaml"],
"location": "Root directory of the project",
"avoid": ["camelCase.yaml", "spaces in names.yaml", "UPPERCASE.yaml"],
},
"agent_names": {
"format": "snake_case, descriptive, no spaces",
"examples": ["customer_service_coordinator", "email_classifier"],
"avoid": ["Agent1", "my agent", "CustomerServiceAgent"],
},
"directory_structure": {
"recommended": {
"root": "All .yaml agent configuration files",
"tools/": "Custom tool implementations (.py files)",
"callbacks/": "Custom callback functions (.py files)",
}
},
}

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