This change keeps dependencies to their major versions, but for the pre 1.0.0 releases pinned to minor releases as they could have breaking changes.
PyYAML: Version 7.0 is in development and could have breaking changes
absolufy-imports: The package is archived and no longer maintained.
anyio: Follows SemVer, so version 5.0 could have breaking changes.
authlib: Follows a SemVer-like pattern, so version 2.0 could have breaking changes.
click: A mature library, version 9.0 is the expected boundary for breaking changes.
fastapi: As a pre-1.0 library, the next minor release could have breaking changes.
google-api-python-client: Although in maintenance, version 3.0 could still have breaking changes.
google-cloud-aiplatform: Follows SemVer, so breaking changes are expected in version 2.0.
google-cloud-secret-manager: A stable Google library, version 3.0 could lead to breaking changes.
google-cloud-speech: A stable Google library, version 3.0 could lead to breaking changes.
google-cloud-storage: A stable Google library.
google-genai: As an official Google SDK, version 2.0 is the expected boundary for breaking changes.
graphviz: As a pre-1.0 library, the next minor release could have breaking changes.
mcp: As an SDK, version 2.0 is the boundary for potential breaking changes.
opentelemetry-api: Follows SemVer; version 2.0 could have breaking changes.
opentelemetry-exporter-gcp-trace: It's tied to the v1 OpenTelemetry API, so version 2.0 would likely be a breaking change.
opentelemetry-sdk: It's coupled to the v1 API, so version 2.0 would likely be a breaking change.
pydantic: This stops upgrades to the incompatible version 3.0 after its major 2.0 rewrite.
python-dateutil: Follows to SemVer, making version 3.0 the boundary for potential breaking changes.
python-dotenv: Locks to stable version 1.0 major release.
requests: As a more mature library, version 3.0 is boundary for breaking changes.
sqlalchemy: This locks the dependency to the stable version 2.0 API after its major rewrite.
starlette: As a pre-1.0 library, the next minor release could have breaking changes.
tenacity: This is a mature library, version 9.0 is boundary for breaking changes.
typing-extensions: Major versions are tied to large typing changes in Python itself.
tzlocal: The library has a history of introducing breaking API changes between major versions.
uvicorn: As a pre-1.0 library, the next minor release could have breaking changes.
watchdog: As a stable library, version 7.0 could have breaking changes.
websockets: Follows SemVer, so version 16.0 is the boundary for breaking changes.
PiperOrigin-RevId: 794677571
Verified with uv on Python 3.12 and 3.13 using the same ignores as CI.
3.12:
uv python install 3.12 && uv venv --python 3.12 .venv && source .venv/bin/activate
uv sync --extra test --extra eval --extra a2a
python -m pytest tests/unittests --ignore=tests/unittests/artifacts/test_artifact_service.py --ignore=tests/unittests/tools/google_api_tool/test_googleapi_to_openapi_converter.py
3.13: repeated the above with 3.13 (separate env)
Result: All unit tests passed
PiperOrigin-RevId: 794669437
Corrects a typo in the `StreamableHTTPConnectionParams` docstring, changing "SSE" to "Streamable HTTP" to accurately reflect the referenced client.
PiperOrigin-RevId: 794424727
For Vertex model backend, we send response back. This doesn't work for streaming tools that the return type is AsyncGenerator. So the fix here is to ignore the return type when it's AsyncGenerator.
We can't distinguish streaming vs non-streaming tool with AsyncGenerator though as LiveRequestQueue is optional in streaming tool.
Adds an `ignore_response` option to `build_function_declaration` to skip including the return type in the function declaration. This is enabled for tools that return `AsyncGenerator`, as the model does not yet support understanding these return types, while streaming tools can still handle them. Also, removes redundant return statements in `_get_mandatory_params`.
PiperOrigin-RevId: 794392846
This is to address the name conflict issue of tools returned by different toolset. Mainly it's to give each toolset a namespace.
We have a flag `add_tool_name_prefix` to decide whether to apply this behavior
We have a `tool_name_prefix` to let client specify a custom prefix, if not set , toolset name will be used as prefix.
PiperOrigin-RevId: 794306796
Merge https://github.com/google/adk-python/pull/1815
fix: path parameter extraction for complex Google API endpoints
- Fix GoogleApiToOpenApiConverter to handle path parameters in complex endpoints like /v1/documents/{documentId}:batchUpdate
- Use Google Discovery Document 'location' field
- Add comprehensive test suite for Google Docs batchUpdate functionality
- Verify parameter location handling for complex endpoint patterns
- Test schema validation for BatchUpdateDocumentRequest/Response
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1815 from goldylocks87:fix-issue-1814-path-parameter-extraction af5508ec6975b1ccbc34931a0041e422ee259c16
PiperOrigin-RevId: 794301898
Spanner toolset support basic operations to interact with Spanner table metadata and query results.
Consolidate BigQueryTool into generic GoogleTool, so that BigQueryToolset and SpannerToolset can share.
PiperOrigin-RevId: 794259782
The issue was caused by a breaking change in Python 3.13's inspect.cleandoc() function that made it more conservative about whitespace handling:
Root Cause:
- Python 3.12-: inspect.cleandoc() used line.lstrip() - strips all whitespace (spaces, tabs, etc.)
- Python 3.13+: inspect.cleandoc() uses line.lstrip(' ') - strips only space characters
PiperOrigin-RevId: 793921360
Demonstrates intelligent triage system with root planning agent and parallel
execution agents.
Use session state to store the execution plan and coordinate with other specialized agents.
Check out README.md for more details.
PiperOrigin-RevId: 793884758
1. Allow developers to specify output schema and tools together.
2. If both are specified, do the following:
2.1 Do not set output schema on the model config
2.2 Add a special tool called set_model_response(result)
2.3 `result` has the same schema as the requested output_schema
2.4 Instruct the model to use set_model_response() to output its final result, rather than output text directly.
2.5 When the set_model_response() is called, ADK will extract its content and put it in a text part, so the client would treat it as the model response.
PiperOrigin-RevId: 792686011
The connection_params argument in the constructor is split into four arguments in the config class because some of them have identical fields. In order to identify which is which, a separate name is more convenient.
PiperOrigin-RevId: 791965995
original codes try to eagerly import VertexAiRagRetrieval while it doesn't want to raise error if client try to import other names in this package and dependencies of VertexAiRagRetrieval is missing. so it swallow the import error which doesn't make sense, given vertex sdk is a must have for VertexAiRagRetrieval, we should fail fast.
this fix achieve the same purpose but fail fast if client try to import VertexAiRagRetrieval from this package and miss certain dependencies (e.g. vertex sdk)
PiperOrigin-RevId: 791759776
Previous implementation doesn't pass the actual handle to server. Now we cache the handle and pass it over when reconnection happens.
To enable:
run_config = RunConfig(
session_resumption=types.SessionResumptionConfig(transparent=True)
)
PiperOrigin-RevId: 791308462
1. given we are running parallel functions in one event loop (one thread) , we should use async lock instead of thread lock
2. test three kind of functions:
a. sync function
b. async function that doesn't yield
c. async function that yield
PiperOrigin-RevId: 791255012
Merge https://github.com/google/adk-python/pull/2327
`adk run --help` (adk 1.9.0)
```
--replay FILE The json file that contains the initial state of the
session and user queries. A new session will be created
using this state. And user queries are run againt the
newly created session. Users cannot continue to interact
with the agent.
```
```
$ git grep againt
src/google/adk/cli/cli_tools_click.py: " queries are run againt the newly created session. Users cannot"
```
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2327 from ftnext:fix-typo-run-replay-help 77cae65a235d9119810fe3d209910562672713c8
PiperOrigin-RevId: 790872246
1. if a function has no return type annotation, we should treat it as returning any type
2. we use empty schema (with `type` as None) to indicate no type constraints and this is already supported by model server
PiperOrigin-RevId: 789808104
Due to reasons that are being investigated, some of the recent changes got unintentionally reverted. We are adding those back in this PR.
PiperOrigin-RevId: 789384063
GitHub workflows triggered by `pull_request` events from forked repositories do not have access to secrets by default due to security considerations.
PiperOrigin-RevId: 789011890
The test test_token_exchange_not_supported was slow because of an incorrect monkeypatch target. The test was patching google.adk.auth.auth_handler.AUTHLIB_AVAILABLE, but the actual OAuth2 exchange logic uses a different AUTHLIB_AVAILABLE variable in google.adk.auth.exchanger.oauth2_credential_exchanger.
What was happening:
Test set auth_handler.AUTHLIB_AVAILABLE = False
AuthHandler.exchange_auth_token() called OAuth2CredentialExchanger.exchange()
But oauth2_credential_exchanger.AUTHLIB_AVAILABLE was still True
The exchanger attempted real OAuth2 token exchange with client.fetch_token()
This made actual network calls to OAuth2 endpoints, causing timeouts and delays
PiperOrigin-RevId: 788576949
This agent will post a comment if the PR is not following our contribution guides or add a label and reviewer for the PR if it passes the guide check.
PiperOrigin-RevId: 788511767
This endpoint could be used by ADK Web to dynamically know:
- What are the available eval metrics in an App
- A description of those metrics
- A value range supported by those metrics
We also update the metric registry to make it mandatory to supply these details. The goal is to improve usability and interpretability of the eval metrics.
PiperOrigin-RevId: 787277695
Merge https://github.com/google/adk-python/pull/869
How to reproduce the error:
```
from google.adk.code_executors import UnsafeLocalCodeExecutor
from google.adk.code_executors.code_execution_utils import CodeExecutionInput
result = UnsafeLocalCodeExecutor().execute_code(
invocation_context=None,
code_execution_input=CodeExecutionInput(
code='''
import math
def pi():
return math.pi
print(pi())
'''
)
)
print(result)
```
output:
```
CodeExecutionResult(stdout='', stderr="name 'math' is not defined", output_files=[])
```
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/869 from qieqieplus:main 63f557bbd3b7aa5c2801f5cc9e022d3364177308
PiperOrigin-RevId: 787145189
Merge https://github.com/google/adk-python/pull/2109Fixes#2105
## Problem
When integrating Google ADK with Langfuse using the @observe
decorator, the usage details displayed in Langfuse web UI were
incorrect.
The root cause was in the telemetry implementation where
total_token_count was being mapped to gen_ai.usage.output_tokens
instead of candidates_token_count.
- Expected mapping:
- candidates_token_count → completion_tokens (output tokens)
- prompt_token_count → prompt_tokens (input tokens)
- Previous incorrect mapping:
- total_token_count → completion_tokens (wrong!)
- prompt_token_count → prompt_tokens (correct)
## Solution
Updated trace_call_llm function in telemetry.py to use
candidates_token_count for output token tracking instead of
total_token_count, ensuring proper token count reporting to
observability tools like Langfuse.
## Testing plan
- Updated test expectations in test_telemetry.py
- Verified telemetry tests pass
- Manual verification with Langfuse integration
## Screenshots
**Before**
<img width="1187" height="329" alt="Screenshot from 2025-07-22 20-20-33" src="https://github.com/user-attachments/assets/ad5fc957-64a2-4524-bd31-0cebb15a5270" />
**After**
<img width="1187" height="329" alt="Screenshot from 2025-07-22 20-21-40" src="https://github.com/user-attachments/assets/3920df2a-be75-47e0-9bd0-f961bb72c838" />
_Notes_: From the screenshot, there's another problem: thoughts_token_count field is not mapped, but this should be another issue imo
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2109 from tl-nguyen:fix-telemetry-token-count-mapping 3d043f558b5f8bcb2c6e0370e2cc4c0ff25d1f4a
PiperOrigin-RevId: 786827802
Merge https://github.com/google/adk-python/pull/2148
This PR fixes#2071 exception string from `pip install google-adk[eval]` to `pip install "google-adk[eval]"` which makes it compatible for all the bash, zsh and other terminals
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2148 from kavinkumar807:fix-module-not-found-exception-string-in-eval 914281006a0e162665c0933d0c0ee0c37eb397cf
PiperOrigin-RevId: 786752261
This commit adds support for the session resumption configuration in the run_config.
The SessionResumptionConfig is added to RunConfig to allow the user to set up a configuration for session resumption(only transparent mode for now).
There are two modes of session resumption: manual and transparent. In manual mode, you have to manually bookkeeping the session information and restarts the session which is tricky to do right now. In transparent mode, the server does the bookkeeping for you and no hassle on ADK side. For now, the transparent mode should be enough.
Also, added the relevant unit tests to check that every possible configuration is set properly and the run_config is correctly populated.
This is needed for supporting the new session resumption feature.
PiperOrigin-RevId: 786549455
This plugin helps printing all critical events in the console. It is not a replacement
of existing logging in ADK. It rather helps terminal based debugging by showing all logs in the console, and serves as a
simple demo so everyone could develop their own plugins.
PiperOrigin-RevId: 786470637
This CL add new callbacks in plugin system:
- `on_tool_error_callback`
- `on_model_error_callback`
This allow the user to create plugins that can handle errors.
PiperOrigin-RevId: 786469646
Merge https://github.com/google/adk-python/pull/2138
This missing space leads to an error when deploying to cloud_run that says "No option --a2a/apps/agents"
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2138 from andrewlarimer:fix--add-space-to-allow-adk-deploy-cloud_run---a2a 47831f10e1f7f6c27b5f6b8c102b2f7db4619778
PiperOrigin-RevId: 786459787
With this change we ensure that all three eval entry points, web, cli and pytest use the common LocalEvalService.
Updates to web and cli happened in a previous change.
PiperOrigin-RevId: 786445632
Mainly it's due to GenAI sdk changed their header of genai SDK versions, we have UT to verify that ADK or ADK users won't override their headers. Updated the header accordingly in the UT.
PiperOrigin-RevId: 786334741
Please set --log_level to DEBUG, if you are interested in having those API request and responses in logs.
NOTE: Generally it is not recommended to have DEBUG log level for services that run in a production setting. It is our recommendation to only use DEBUG log level in a debug or development setting.
PiperOrigin-RevId: 785972338
Merge https://github.com/google/adk-python/pull/1959
### What
Fix misleading comment.
```diff
- # Make sure a malicious user can obtain a session and events not belonging to them
+ # Make sure a malicious user **cannot** obtain a session or events not belonging to them
```
### Why
The previous wording contradicted the assertion `assert len(session_mismatch.events) == 0`, which verifies that a malicious user **cannot** access another user’s session or events.
### Testing plan
Docs-only change.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1959 from mthorme:fix-comment-session-mismatch b1f139af340bd240d40ed58f5dea3274c3a3bd83
PiperOrigin-RevId: 785908548
This change takes cares of SQL results containing values that are not json serializable (e.g. datetime, bignumeric) by converting them to their string representation.
PiperOrigin-RevId: 785719997
We update both adk web run eval endpoint and adk eval cli to use the LocalService. The old method is marked as deprecated and will be removed in later PRs.
PiperOrigin-RevId: 785612708
Fixes#423
Related to #1670
- This avoids the `GeneratorExit` error thrown, which would crash OTel metric collection and cause `Failed to detach context` error.
- This also allows all function calls are processed when exit_loop is called together with other tools in the same LLmResponse.
A sample agent for testing:
```
from google.adk import Agent
from google.adk.agents.loop_agent import LoopAgent
from google.adk.tools.exit_loop_tool import exit_loop
worker_1 = Agent(
name='worker_1',
description='Worker 1',
instruction="""\
Just say job #1 is done.
If job #1 is said to be done. Call exit_loop tool.""",
tools=[exit_loop],
)
worker_2 = Agent(
name='worker_2',
description='Worker 2',
instruction="""\
Just say job #2 is done.
If job #2 is said to be done. Call exit_loop tool.""",
tools=[exit_loop],
)
work_agent = LoopAgent(
name='work_agent',
description='Do all work.',
sub_agents=[worker_1, worker_2],
max_iterations=5,
)
root_agent = Agent(
model='gemini-2.0-flash',
name='hello_world_agent',
description='hello world agent that can roll a check prime',
instruction="""Hand off works to sub agents.""",
sub_agents=[work_agent],
)
```
PiperOrigin-RevId: 785538101
Merge https://github.com/google/adk-python/pull/1195
## Summary
Updated the Toolbox Agent documentation to address a critical missing dependency that prevents the agent from running successfully.
## Changes Made
- **Added missing dependency**: Documented that `toolbox-core` must be installed via `pip install toolbox-core`
- **Improved documentation structure**: Added clear section numbering and better organization
- **Enhanced readability**: Fixed grammar, capitalization, and formatting throughout
- **Added Prerequisites section**: Set clear expectations before installation begins
- **Clarified optional steps**: Made it clearer when database creation can be skipped
## Problem Solved
The original documentation was missing a crucial step - installing the `toolbox-core` package. Without this dependency, users encounter an `ImportError: No module named 'toolbox-core'` when trying to use the `ToolboxToolset` class in ADK. This fix ensures users can successfully set up and run the agent without encountering import errors.
## Testing
- Verified the installation steps work correctly with the added dependency
- Confirmed the agent runs successfully after following the updated documentation
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1195 from designcomputer:patch-1 b90c71fe95aa09a3dca069e91f14791f557ab2e3
PiperOrigin-RevId: 785487495
Merge https://github.com/google/adk-python/pull/1130
This enables the use of the `model-optimizer-*` family of models in vertex, as per the [documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/vertex-ai-model-optimizer#using-vertex-ai-model-optimizer).
To use this, ensure your location is set to `global` and pass a model optimizer model to an agent:
```python
root_agent = Agent(
model="model-optimizer-exp-04-09",
name="fast_and_slow_agent",
instruction="Answer any question the user gives you - easy or hard.",
generate_content_config=types.GenerateContentConfig(
temperature=0.01,
model_selection_config=ModelSelectionConfig(
feature_selection_preference=FeatureSelectionPreference.BALANCED
# Options: PRIORITIZE_QUALITY, BALANCED, PRIORITIZE_COST
)
),
)
```
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/1130 from calvingiles:feat-model-optimizer 1a76bfa22420edb07d83415dcea6dd0114084e8e
PiperOrigin-RevId: 784921913
Now the LangchainTool can wrap:
* Langchain StructuredTool (sync and async).
* Langchain @Tool (sync and async).
This enhance the flexibility for user and enables async functionalities.
PiperOrigin-RevId: 784728061
# Step 3: Check if the commit count is greater than 1
# This step uses the output from the previous step to decide whether to pass or fail.
- name:Check Commit Count
# This step only runs if the 'commit_count' output from the 'count_commits' step is greater than 1.
if:steps.count_commits.outputs.commit_count > 1
# If the condition is met, the workflow will exit with a failure status.
run:|
echo "This pull request has ${{ steps.count_commits.outputs.commit_count }} commits."
echo "Please squash them into a single commit before merging."
echo "You can use git rebase -i HEAD~N"
echo "...where N is the number of commits you want to squash together. The PR check conveniently tells you this number! For example, if the check says you have 3 commits, you would run: git rebase -i HEAD~3."
echo "Because you have rewritten the commit history, you must use the --force flag to update the pull request: git push --force"
exit 1
# Step 4: Success message
# This step runs if the commit count is not greater than 1 (i.e., it's 1).
- name:Success
if:steps.count_commits.outputs.commit_count <= 1
run:|
echo "This pull request has a single commit. Great job!"
* [Live] Implement Live Session Resumption ([71fbc92](https://github.com/google/adk-python/commit/71fbc9275b3d74700ec410cb4155ba0cb18580b7))
* [Tool] Support parallel execution of parallel function calls ([57cd41f](https://github.com/google/adk-python/commit/57cd41f424b469fb834bb8f2777b5f7be9aa6cdf))
* [Models] Allow max tokens to be customizable in Claude ([7556ebc](https://github.com/google/adk-python/commit/7556ebc76abd3c776922c2803aed831661cf7f82))
* [Tool] Create enterprise_web_search_tool as a tool instance ([0e28d64](https://github.com/google/adk-python/commit/0e28d64712e481cfd3b964be0166f529657024f6))
### Bug Fixes
* Fix shared default plugin manager and cost manager instances among multiple invocations ([423542a](https://github.com/google/adk-python/commit/423542a43fb8316195e9f79d97f87593751bebd3))
* Correct the type annotation in anthropic_llm implementation ([97318bc](https://github.com/google/adk-python/commit/97318bcd199acdacadfe8664da3fbfc3c806cdd2))
* Fix adk deploy cloud_run cli, which was broken in v1.9.0 ([e41dbcc](https://github.com/google/adk-python/commit/e41dbccf7f610e249108f9321f60f71fe2cc10f4))
* Remove thoughts from contents in llm requests from history contents ([d620bcb](https://github.com/google/adk-python/commit/d620bcb384d3068228ea2059fb70274e68e69682))
* Annotate response type as None for transfer_to_agent tool ([86a4487](https://github.com/google/adk-python/commit/86a44873e9b2dfc7e62fa31a9ac3be57c0bbff7b))
* Fix adk cli options and method parameters mismatching ([8ef2177](https://github.com/google/adk-python/commit/8ef2177658fbfc74b1a74b0c3ea8150bae866796))
### Improvements
* Add Github workflow config for the ADK Answering agent ([8dc0c94](https://github.com/google/adk-python/commit/8dc0c949afb9024738ff7ac1b2c19282175c3200))
* Import AGENT_CARD_WELL_KNOWN_PATH from adk instead of from a2a directly ([37dae9b](https://github.com/google/adk-python/commit/37dae9b631db5060770b66fce0e25cf0ffb56948))
* Make `LlmRequest.LiveConnectConfig` field default to a factory ([74589a1](https://github.com/google/adk-python/commit/74589a1db7df65e319d1ad2f0676ee0cf5d6ec1d))
* Update the prompt to make the ADK Answering Agent more objective ([2833030](https://github.com/google/adk-python/commit/283303032a174d51b8d72f14df83c794d66cb605))
* Add sample agent for testing parallel functions execution ([90b9193](https://github.com/google/adk-python/commit/90b9193a20499b8dd7f57d119cda4c534fcfda10))
* Hide the ask_data_insights tool until the API is publicly available ([bead607](https://github.com/google/adk-python/commit/bead607364be7ac8109357c9d3076d9b345e9e8a))
* Change `LlmRequest.config`'s default value to be `types.GenerateContentConfig()` ([041f04e](https://github.com/google/adk-python/commit/041f04e89cee30532facccce4900d10f1b8c69ce))
* Prevent triggering of _load_from_yaml_config in AgentLoader ([db975df](https://github.com/google/adk-python/commit/db975dfe2a09a6d056d02bc03c1247ac10f6da7d))
* [CLI] Add `-v`, `--verbose` flag to enable DEBUG logging as a shortcut for `--log_level DEBUG` ([3be0882](https://github.com/google/adk-python/commit/3be0882c63bf9b185c34bcd17e03769b39f0e1c5))
* [CLI] Add a CLI option to update an agent engine instance ([206a132](https://github.com/google/adk-python/commit/206a13271e5f1bb0bb8114b3bb82f6ec3f030cd7))
* [CLI] Modularize fast_api.py to allow simpler construction of API Server ([bfc203a](https://github.com/google/adk-python/commit/bfc203a92fdfbc4abaf776e76dca50e7ca59127b), [dfc25c1](https://github.com/google/adk-python/commit/dfc25c17a98aaad81e1e2f140db83d17cd78f393), [e176f03](https://github.com/google/adk-python/commit/e176f03e8fe13049187abd0f14e63afca9ccff01))
* [CLI] Refactor AgentLoader into base class and add InMemory impl alongside existing filesystem impl ([bda3df2](https://github.com/google/adk-python/commit/bda3df24802d0456711a5cd05544aea54a13398d))
* [CLI] Respect the .ae_ignore file when deploying to agent engine ([f29ab5d](https://github.com/google/adk-python/commit/f29ab5db0563a343d6b8b437a12557c89b7fc98b))
* [Core] Add new callbacks to handle tool and model errors ([00afaaf](https://github.com/google/adk-python/commit/00afaaf2fc18fba85709754fb1037bb47f647243))
* [Core] Add sample plugin for logging ([20537e8](https://github.com/google/adk-python/commit/20537e8bfa31220d07662dad731b4432799e1802))
* [Core] Expose Gemini RetryOptions to client ([1639298](https://github.com/google/adk-python/commit/16392984c51b02999200bd4f1d6781d5ec9054de))
* [Evals] Added an Fast API new endpoint to serve eval metric info ([c69dcf8](https://github.com/google/adk-python/commit/c69dcf87795c4fa2ad280b804c9b0bd3fa9bf06f))
* [Evals] Refactored AgentEvaluator and updated it to use LocalEvalService ([1355bd6](https://github.com/google/adk-python/commit/1355bd643ba8f7fd63bcd6a7284cc48e325d138e))
### Bug Fixes
* Add absolutize_imports option when deploying to agent engine ([fbe6a7b](https://github.com/google/adk-python/commit/fbe6a7b8d3a431a1d1400702fa534c3180741eb3))
* Add space to allow adk deploy cloud_run --a2a ([70c4616](https://github.com/google/adk-python/commit/70c461686ec2c60fcbaa384a3f1ea2528646abba))
* Copy the original function call args before passing it to callback or tools to avoid being modified ([3432b22](https://github.com/google/adk-python/commit/3432b221727b52af2682d5bf3534d533a50325ef))
* Eval module not found exception string ([7206e0a](https://github.com/google/adk-python/commit/7206e0a0eb546a66d47fb411f3fa813301c56f42))
* Fix incorrect token count mapping in telemetry ([c8f8b4a](https://github.com/google/adk-python/commit/c8f8b4a20a886a17ce29abd1cfac2858858f907d))
* Keep existing header values while merging tracking headers for `llm_request.config.http_options` in `Gemini.generate_content_async` ([6191412](https://github.com/google/adk-python/commit/6191412b07c3b5b5a58cf7714e475f63e89be847))
* Merge tracking headers even when `llm_request.config.http_options` is not set in `Gemini.generate_content_async` ([ec8dd57](https://github.com/google/adk-python/commit/ec8dd5721aa151cfc033cc3aad4733df002ae9cb))
* Restore bigquery sample agent to runnable form ([16e8419](https://github.com/google/adk-python/commit/16e8419e32b54298f782ba56827e5139effd8780))
* Return session state in list_session API endpoint ([314d6a4](https://github.com/google/adk-python/commit/314d6a4f95c6d37c7da3afbc7253570564623322))
* Runner was expecting Event object instead of Content object when using early exist feature ([bf72426](https://github.com/google/adk-python/commit/bf72426af2bfd5c2e21c410005842e48b773deb3))
* Unable to acquire impersonated credentials ([9db5d9a](https://github.com/google/adk-python/commit/9db5d9a3e87d363c1bac0f3d8e45e42bd5380d3e))
* Update `agent_card_builder` to follow grammar rules ([9c0721b](https://github.com/google/adk-python/commit/9c0721beaa526a4437671e6cc70915073be835e3)), closes [#2223](https://github.com/google/adk-python/issues/2223)
* Use correct type for actions parameter in ApplicationIntegrationToolset ([ce7253f](https://github.com/google/adk-python/commit/ce7253f63ff8e78bccc7805bd84831f08990b881))
### Documentation
* Update documents about the information of vibe coding ([0c85587](https://github.com/google/adk-python/commit/0c855877c57775ad5dad930594f9f071164676da))
* [Core]Add an to_a2a util to convert adk agent to A2A ASGI application ([a77d689](https://github.com/google/adk-python/commit/a77d68964a1c6b7659d6117d57fa59e43399e0c2))
* [Core]Add camel case converter for agents ([0e173d7](https://github.com/google/adk-python/commit/0e173d736334f8c6c171b3144ac6ee5b7125c846))
* [Evals]Use LocalEvalService to run all evals in cli and web ([d1f182e](https://github.com/google/adk-python/commit/d1f182e8e68c4a5a4141592f3f6d2ceeada78887))
* [Evals]Enable FinalResponseMatchV2 metric as an experiment ([36e45cd](https://github.com/google/adk-python/commit/36e45cdab3bbfb653eee3f9ed875b59bcd525ea1))
* [Models]Add support for `model-optimizer-*` family of models in vertex ([ffe2bdb](https://github.com/google/adk-python/commit/ffe2bdbe4c2ea86cc7924eb36e8e3bb5528c0016))
* [Services]Added a sample for History Management ([67284fc](https://github.com/google/adk-python/commit/67284fc46667b8c2946762bc9234a8453d48a43c))
* [Services]Support passing fully qualified agent engine resource name when constructing session service and memory service ([2e77804](https://github.com/google/adk-python/commit/2e778049d0a675e458f4e
* [Tools]Allow toolset to process llm_request before tools returned by it ([3643b4a](https://github.com/google/adk-python/commit/3643b4ae196fd9e38e52d5dc9d1cd43ea0733d36))
* [Tools]Support input/output schema by fully-qualified code reference ([dfee06a](https://github.com/google/adk-python/commit/dfee06ac067ea909251d6fb016f8331065d430e9))
* [Tools]Enhance LangchainTool to accept more forms of functions ([0ec69d0](https://github.com/google/adk-python/commit/0ec69d05a4016adb72abf9c94f2e9ff4bdd1848c))
### Bug Fixes
* **Attention**: Logging level for some API requests and responses was moved from `INFO` to `DEBUG` ([ff31f57](https://github.com/google/adk-python/commit/ff31f57dc95149f8f309f83f2ec983ef40f1122c))
* Please set `--log_level=DEBUG`, if you are interested in having those API request and responses in logs.
* Add buffer to the write file option ([f2caf2e](https://github.com/google/adk-python/commit/f2caf2eecaf0336495fb42a2166b1b79e57d82d8))
* Allow current sub-agent to finish execution before exiting the loop agent due to a sub-agent's escalation. ([2aab1cf](https://github.com/google/adk-python/commit/2aab1cf98e1d0e8454764b549fac21475a633409))
* Check that `mean_score` is a valid float value ([65cb6d6](https://github.com/google/adk-python/commit/65cb6d6bf3278e6c3529938a7b932e3ef6d6c2ae))
* Handle non-json-serializable values in the `execute_sql` tool ([13ff009](https://github.com/google/adk-python/commit/13ff009d34836a80f107cb43a632df15f7c215e4))
* Raise `NotFoundError` in `list_eval_sets` function when app_name doesn't exist ([b17d8b6](https://github.com/google/adk-python/commit/b17d8b6e362a5b2a1b6a2dd0cff5e27a71c27925))
* Fixed serialization of tools with nested schema ([53df35e](https://github.com/google/adk-python/commit/53df35ee58599e9816bd4b9c42ff48457505e599))
* Set response schema for function tools that returns `None` ([33ac838](https://github.com/google/adk-python/commit/33ac8380adfff46ed8a7d518ae6f27345027c074))
* Support path level parameters for open_api_spec_parser ([6f01660](https://github.com/google/adk-python/commit/6f016609e889bb0947877f478de0c5729cfcd0c3))
* Use correct type for actions parameter in ApplicationIntegrationToolset ([ce7253f](https://github.com/google/adk-python/commit/ce7253f63ff8e78bccc7805bd84831f08990b881))
* Use the same word extractor for query and event contents in InMemoryMemoryService ([1c4c887](https://github.com/google/adk-python/commit/1c4c887bec9326aad2593f016540160d95d03f33))
### Documentation
* Fix missing toolbox-core dependency and improve installation guide ([2486349](https://github.com/google/adk-python/commit/24863492689f36e3c7370be40486555801858bac))
@@ -210,3 +210,7 @@ All submissions, including submissions by project members, require review. We
use GitHub pull requests for this purpose. Consult
[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
information on using pull requests.
# Vibe Coding
If you want to contribute by leveraging viber coding, the AGENTS.md (https://github.com/google/adk-python/tree/main/AGENTS.md) could be used as context to your LLM.
[](https://github.com/google/adk-python/actions/workflows/python-unit-tests.yml)
@@ -138,6 +139,10 @@ We welcome contributions from the community! Whether it's bug reports, feature r
- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).
- Then if you want to contribute code, please read [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.
## Vibe Coding
If you are to develop agent via vibe coding the [llms.txt](./llms.txt) and the [llms-full.txt](./llms-full.txt) can be used as context to LLM. While the former one is a summarized one and the later one has the full information in case your LLM has big enough context window.
## 📄 License
This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.
When deploying the remote BigQuery A2A agent to different environments (e.g., Cloud Run, different hosts/ports), you **must** update the `url` field in the agent card JSON file:
**Important:** The `url` field in `remote_a2a/bigquery_agent/agent.json` must point to the actual RPC endpoint where your remote BigQuery A2A agent is deployed and accessible.
## Troubleshooting
**Connection Issues:**
- Ensure the local ADK web server is running on port 8000
- Ensure the remote A2A server is running on port 8001
- Check that no firewall is blocking localhost connections
- **Verify the `url` field in `remote_a2a/bigquery_agent/agent.json` matches the actual deployed location of your remote A2A server**
- Verify the agent card URL passed to RemoteA2AAgent constructor matches the running A2A server
@@ -182,3 +213,4 @@ You can extend this sample by:
- Check the logs for both the local ADK web server and remote A2A server
- Verify OAuth tokens are properly passed between agents
- Ensure agent instructions are clear about authentication requirements
- **Double-check that the RPC URL in the agent.json file is correct and accessible**
@@ -107,15 +107,47 @@ You can extend this sample by:
- Adding persistent state management
- Integrating with external APIs or databases
## Deployment to Other Environments
When deploying the remote A2A agent to different environments (e.g., Cloud Run, different hosts/ports), you **must** update the `url` field in the agent card JSON file:
**Important:** The `url` field in `remote_a2a/check_prime_agent/agent.json` must point to the actual RPC endpoint where your remote A2A agent is deployed and accessible.
## Troubleshooting
**Connection Issues:**
- Ensure the local ADK web server is running on port 8000
- Ensure the remote A2A server is running on port 8001
- Check that no firewall is blocking localhost connections
- **Verify the `url` field in `remote_a2a/check_prime_agent/agent.json` matches the actual deployed location of your remote A2A server**
- Verify the agent card URL passed to RemoteA2AAgent constructor matches the running A2A server
**Agent Not Responding:**
- Check the logs for both the local ADK web server on port 8000 and remote A2A server on port 8001
- Verify the agent instructions are clear and unambiguous
- **Double-check that the RPC URL in the agent.json file is correct and accessible**
@@ -116,18 +116,50 @@ You can extend this sample by:
- Integrating with external approval systems or databases
- Implementing approval timeouts and escalation procedures
## Deployment to Other Environments
When deploying the remote approval A2A agent to different environments (e.g., Cloud Run, different hosts/ports), you **must** update the `url` field in the agent card JSON file:
**Important:** The `url` field in `remote_a2a/human_in_loop/agent.json` must point to the actual RPC endpoint where your remote approval A2A agent is deployed and accessible.
## Troubleshooting
**Connection Issues:**
- Ensure the local ADK web server is running on port 8000
- Ensure the remote A2A server is running on port 8001
- Check that no firewall is blocking localhost connections
- **Verify the `url` field in `remote_a2a/human_in_loop/agent.json` matches the actual deployed location of your remote A2A server**
- Verify the agent card URL passed to RemoteA2AAgent constructor matches the running A2A server
**Agent Not Responding:**
- Check the logs for both the local ADK web server on port 8000 and remote A2A server on port 8001
- Verify the agent instructions are clear and unambiguous
- Ensure long-running tool responses are properly formatted with matching IDs
- **Double-check that the RPC URL in the agent.json file is correct and accessible**
**Approval Workflow Issues:**
- Verify that updated tool responses use the same `id` and `name` as the original function call
This sample demonstrates how to use a **remote Agent-to-Agent (A2A) agent as the root agent** in the Agent Development Kit (ADK). This is a simplified approach where the main agent is actually a remote A2A service, also showcasing how to run remote agents using uvicorn command.
## Overview
The A2A Root sample consists of:
- **Root Agent** (`agent.py`): A remote A2A agent proxy as root agent that talks to a remote a2a agent running on a separate server
- **Remote Hello World Agent** (`remote_a2a/hello_world/agent.py`): The actual agent implementation that handles dice rolling and prime number checking running on remote server
## Architecture
```
┌─────────────────┐ ┌────────────────────┐
│ Root Agent │───▶│ Remote Hello │
│ (RemoteA2aAgent)│ │ World Agent │
│ (localhost:8000)│ │ (localhost:8001) │
└─────────────────┘ └────────────────────┘
```
## Key Features
### 1. **Remote A2A as Root Agent**
- The `root_agent` is a `RemoteA2aAgent` that connects to a remote A2A service
- Demonstrates how to use remote agents as the primary agent instead of local agents
- Shows the flexibility of the A2A architecture for distributed agent deployment
### 2. **Uvicorn Server Deployment**
- The remote agent is served using uvicorn, a lightweight ASGI server
- Demonstrates a simple way to deploy A2A agents without using the ADK CLI
- Shows how to expose A2A agents as standalone web services
### 3. **Agent Functionality**
- **Dice Rolling**: Can roll dice with configurable number of sides
- **Prime Number Checking**: Can check if numbers are prime
- **State Management**: Maintains roll history in tool context
- **Parallel Tool Execution**: Can use multiple tools in parallel
### 4. **Simple Deployment Pattern**
- Uses the `to_a2a()` utility to convert a standard ADK agent to an A2A service
- Minimal configuration required for remote agent deployment
Some files were not shown because too many files have changed in this diff
Show More
Reference in New Issue
Block a user
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.