Copybara import of the project:
--
824b4379d59a375191f8ce10997efd4021d5d0b3 by Andres Videla <andres.videla@trademe.co.nz>:
Adding regex for claude-4 models to anthropic_llm and updating tests
--
8fa2a2df1931026dc803eee0e9b60e82e90c9efa by Wei Sun (Jack) <Jacksunwei@gmail.com>:
Adds trailing comma.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/934 from avidelatm:feature/add-support-for-claude-4-models-to-anthropic_llm 8d10bacdbec952ec9832180ac6c1d220916641da
PiperOrigin-RevId: 764396694
--
50b09bbe9735c889a9c815eddcee6715ebe848da by Yuan Chai <350365422@qq.com>:
fix: improve json serialization by allowing non-ascii characters
--
c66977ae6ec4edc71a2d633eb09918eb2a226461 by Yuan Chai <350365422@qq.com>:
fix: serialize function call arguments to JSON string
Previously accepted JSON objects directly, which was less robust. Now serialize arguments to JSON strings using `_safe_json_serialize`, ensuring stability and handling non-ASCII characters correctly.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/605 from nauyiahc:fix_non_ascii_char a52513c5747296b717acee989684324e1b072d34
PiperOrigin-RevId: 764396496
Copybara import of the project:
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bbd21e72e46227d5bbcaef6601f4a81724e7829f by Sanchit Rk <sanchitrrk@gmail.com>:
Fix: add missing kwargs to db session service
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/946 from sanchitrk:fix/missing-kwargs-db-session-service ebb699b04d8420ad14244cf3d43a2982b01d6b7f
PiperOrigin-RevId: 764392251
Copybara import of the project:
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a6e3a220a507a27523e427e88a803f4fec40db9c by Alankrit Verma <alankrit386@gmail.com>:
test(base_llm_flow): add test for infinite loop on truncated responses
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b5f2245788b8ed51189d1ad057372989452f070d by Alankrit Verma <alankrit386@gmail.com>:
feat(base_llm_flow): break run_async loop on partial/truncated events
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cbbae4c468a4de3b5a737aef07cb4615f8418c38 by Wei Sun (Jack) <Jacksunwei@gmail.com>:
Raise ValueError if the last event is partial.
This is invalid state for llm flow.
--
6eebae0bc27c664eee4743ff7278ae5803415c9f by Wei Sun (Jack) <Jacksunwei@gmail.com>:
Delete tests/unittests/flows/llm_flows/test_base_llm_flow_truncation.py
--
e08b0ab19ca6eb88eb84f044bf72e815b2cf317c by Wei Sun (Jack) <Jacksunwei@gmail.com>:
format base_llm_flow.py
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/659 from AlankritVerma01:fix/522-base-llm-flow-truncation e08b0ab19ca6eb88eb84f044bf72e815b2cf317c
PiperOrigin-RevId: 764380150
Structures supported:
a) agents_dir/agent_name.py (with root_agent or agent.root_agent in it)
b) agents_dir/agent_name_folder/__init__.py (with root_agent or agent.root_agent in the package)
c) agents_dir/agent_name_folder/agent.py (where agent.py has root_agent)
PiperOrigin-RevId: 763943716
This was introduced to work around google-auth kills all logs via `google` root logging namespace. Given we're now using `google_adk` as root logging namesapce, we don't need additional Stream log handler now.
PiperOrigin-RevId: 763924531
--
b781880d9bfb9786bd5e50314eaedc441fc2a93e by Stephen Smith <stephen.smith@newfront.com>:
Telemetry unit test for non-serializable data.
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179da9db997bb3f992e126c9c64193ff7df67b3d by Stephen Smith <stephen.smith@newfront.com>:
When converting the llm_request to JSON, skip non-serializable data.
--
5dc68f4f5a6d12b753fdb81d1449716d13490afb by Stephen Smith <stephen.smith@newfront.com>:
Update _create_invocation_context() return type to InvocationContext.
--
23a33f754409fcd2a7641098d68cef7e4f1c72c6 by Stephen Smith <stephen.smith@newfront.com>:
Oops, remove unnecessary import.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/879 from stephensmithnewfront:main f71e195a9ed157e4c0b3abfa74ae078b0c1a920a
PiperOrigin-RevId: 763922003
Copybara import of the project:
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d01a8fd5f079bc4fca9e4b71796dbe65312ce9ff by Leo Yongsul Kim <ystory84@gmail.com>:
fix(DatabaseSessionService): Align event filtering and ordering logic
This commit addresses inconsistencies in how DatabaseSessionService
handles config.after_timestamp and config.num_recent_events
parameters, aligning its behavior with InMemorySessionService and
VertexAiSessionService.
Key changes:
- Made after_timestamp filtering inclusive
- Corrected num_recent_events behavior to fetch the N most recent events
- Refined timezone handling for after_timestamp
- Updated the unit test test_get_session_with_config to includeSessionServiceType.DATABASE, allowing verification of these fixes.
Fixes#911
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/915 from ystory:fix/database-session-timestamp-recency 5cc8cf5f5a5c0cb3e87f6ab178a5725d3f696c88
PiperOrigin-RevId: 763874840
--
73826d258b136f92a8da8171f7dc14d5f07de8dd by Calvin Giles <calvin.giles@trademe.co.nz>:
fix: Enable InMemoryRunner to be used in async tests
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/868 from calvingiles:enable-test-runner-in-async fb9033ed6f350a3114859715cae51798f864ecf6
PiperOrigin-RevId: 763233472
--
76f579c8f75e28c79e322dc60c9dca56ac96d0fa by Hangfei Lin <hangfei@google.com>:
doc: Update README.md
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/901 from google:hangfei-patch-3 6c5e264c8134e8eb164114992f3d8f2f2efe83fc
PiperOrigin-RevId: 762603928
--
aa92081193ccf4710e5aefb93c715791eab2c2ef by Stephen Smith <stephen.smith@newfront.com>:
docs: Fix typos in issue templates.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/880 from stephensmithnewfront:stephensmithnewfront/address-typos-in-issue-templates-pr 65b7f85e26fca76b3e076ef0b826189353e8ab13
PiperOrigin-RevId: 762259304
--
004eb36c16b042ba2d8be0cca39b739c0c8ca6c1 by sudu <teric@outlook.com>:
Update tools.yaml
When search hotels with some LLM, the date format shows as bellow
```
**Check-in Date:** April 23, 2024
```
So i update the SQL in tools.yaml to be compatible with following instruction:
```sql
update checkin date to 'April 24,2024' and checkout date to 'April 26,2024' of Best Western Bern
```
--
1300688ee1407212658d57712c1ad6ee61b052fe by qidu <qidu@outlook.com>:
Fix the tools of `ToolboxToolset` initialization bugs for
`samples/toolbox_agent`
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/794 from qidu:main 5b3199da564efdd07915e24e75659055a17dad82
PiperOrigin-RevId: 762259287
--
cd8c580cbd4a2dc1c49c690ea81c4111860aa52c by Hangfei Lin <hangfei@google.com>:
doc: Update README.md
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/842 from google:hangfei-patch-2 aa9842a43d8c464a8999beb2f6f5d491aa63ef6c
PiperOrigin-RevId: 761722188
This is useful for injecting artifacts and session state variable into instruction template typically in instruction providers.
PiperOrigin-RevId: 761595473
Copybara import of the project:
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9e51865a6dd4de4d20088e8a7ac9f3a75501aa6b by Amulya Bhatia <amulya.bhatia@t-online.de>:
test: unit tests for code_executor_context.py
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/780 from iamulya:test-code-executor-context 907b1712e43b8ce90cd8786780bef863adfcc167
PiperOrigin-RevId: 761294975
The default version for Cloud Run deployment is changed to the version in the dev environment instead of the latest version.
PiperOrigin-RevId: 759767654
Copybara import of the project:
--
9cefcdde97685bc6966a13019bfb80cc232a399b by Jack Wotherspoon <jackwoth@google.com>:
chore: delete toolbox_tool.py
--
b2607eb0397e72b6b616ac592920f74d42a8ee5d by jackwotherspoon <jackwoth@google.com>:
feat: expose toolbox
--
a4a0859997af9a68e240f78ff351f0fded6a52e2 by Jack Wotherspoon <jackwoth@google.com>:
chore: update formatting
--
070dc93cdc289a5ee5935bd5995d3005bf8396a0 by jackwotherspoon <jackwoth@google.com>:
chore: add base toolbox tests
--
ab84a0f49eccc9b993317b3ffe2b5b6cad278d70 by jackwotherspoon <jackwoth@google.com>:
chore: remove ToolboxTool
--
87f4f909acc294468bcb3053e300f4df252bdb27 by Jack Wotherspoon <jackwoth@google.com>:
chore: update formatting
--
ddc1a11c0ce45fe34e5f2dd43c808d88a7d6af0b by Jack Wotherspoon <jackwoth@google.com>:
chore: Update pyproject.toml
--
aee173d8df40ffefe535b266e1bd6528c9aeb1b9 by Jack Wotherspoon <jackwoth@google.com>:
chore: Update pyproject.toml
--
22fc95922b500ddb0ec4901dccbe2fbfcc53b35f by Jack Wotherspoon <jackwoth@google.com>:
chore: Update __init__.py
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/763 from jackwotherspoon:expose-toolbox 3cb629a9d0d18aaeeeed59fb0d0d1e1b225b7437
PiperOrigin-RevId: 759744557
--
aa863ca851d4c689fbdb431d91189d5ebbc59932 by Jack Wotherspoon <jackwoth@google.com>:
chore: fix variable name in test
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/769 from jackwotherspoon:test-fix aa863ca851d4c689fbdb431d91189d5ebbc59932
PiperOrigin-RevId: 759731577
When the user provides instruction provider, we assume that they will inject the session state parameters if needed. This assumption allows users to return code snippets in the instruction provider without any template replacement.
PiperOrigin-RevId: 759705471
--
636685818a512e9de30d5119f0244261cf16af27 by Adrian Cole <64215+codefromthecrypt@users.noreply.github.com>:
fix: corrects typo in bigquery sample
Noticed while reading that google was spelled wrong.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/709 from codefromthecrypt:patch-1 b30e819979f81962a2e44922bfd2dadd539fe3ea
PiperOrigin-RevId: 759641065
Copybara import of the project:
--
cec6f5044307e3ecdd20a513e0d8202b0854ff4c by ZhiNing <574775237@qq.com>:
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/705 from czn574775237:fix/issue-655 c15f116d4bc0328e8a90a437958042ef1b087c14
PiperOrigin-RevId: 759381068
Also included a token_usage sample that showcases the token usage of subagents with different models under a parent agent.
PiperOrigin-RevId: 759347015
Copybara import of the project:
--
dcfb9ff720562802f9ce15c90a71b4cd40f77280 by Eugen-Bleck <eugenbleck@gmail.com>:
fix: Display full help text for adk create CLI command when arguments are missing
--
f2eea8d1e5947b1631ac2de3824d8bf0cf833cbc by Eugen-Bleck <eugenbleck@gmail.com>:
fix: Display full help text for adk run and eval CLI command when arguments are missing
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/443 from bl3ck:fix/cli-help-display c2bca420b00aa3391ab8cfb6baedc9ea0dbfb7e1
PiperOrigin-RevId: 758498242
Add a `task_completed` function to the agent so when a model finished the task, it can send a signal and the program knows it can go to next agent.
This cl include:
* Implements the `_run_live_impl` in `sequential_agent` so it can handle live case.
* Add an example for sequential agent.
* Improve error message for unimplemented _run_live_impl in other agents.
Note:
1. Compared to non-live case, live agents process a continuous streams of audio
or video, so it doesn't have a native way to tell if it's finished and should pass
to next agent or not. So we introduce a task_compelted() function so the
model can call this function to signal that it's finished the task and we
can move on to next agent.
2. live agents doesn't seems to be very useful or natural in parallel or loop agents so we don't implement it for now. If there is user demand, we can implement it easily using similar approach.
PiperOrigin-RevId: 758315430
The old implementation:
1. We only started transcription at the beginning of agent transferring.
2. The transcription service we used is not as good / fast as the model/native transcription.
In the current implementation, the live agent will rely on the llm's transcription, instead of our transcription when llm support audio transcription in the input. And in that case, the live agent won't use our own audio transcriber. This reduces the latency from 5secs to 2 secs during agent transferring. It also improves the transcription quality.
When the llm doesn't support audio transcription, we still use our audio transcriber to transcribe audio input.
PiperOrigin-RevId: 758296647
Details:
- Add a in-memory SpanExporter to capture all trace information.
- Add /debug/trace/session/{session_id} endpoint to retrieve traces from the in-memory exporter.
- Add Session ID in Telemetry spans.
PiperOrigin-RevId: 757984565
--
d481e0604a79470e2c1308827b3ecb78bfb5327e by Alan B <alan@nerds.ai>:
feat: 🚧 catch user transcription
--
bba436bb76d1d2f9d5ba969fce38ff8b8a443254 by Alan B <alan@nerds.ai>:
feat: ✨ send user transcription event as llm_response
--
ad2abf540c60895b79c50f9051a6289ce394b98d by Alan B <death1027@outlook.com>:
style: 💄 update lint problems
--
744703c06716300c0f9f41633d3bafdf4cb180a1 by Hangfei Lin <hangfeilin@gmail.com>:
fix: set right order for input transcription
--
31a5d42d6155b0e5caad0c73c8df43255322016f by Hangfei Lin <hangfeilin@gmail.com>:
remove print
--
59e5d9c72060f97d124883150989315401a4c1b5 by Hangfei Lin <hangfeilin@gmail.com>:
remove api version
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/590 from BloodBoy21:feat/api-version-vertex 1ed855249cae398b40691b91c6e468bccec07a3a
PiperOrigin-RevId: 757840099
--
84abc07d2342e88e601949faa67a3014c0f491e8 by mukundjha-mj <mukundjha204@gmail.com>:
Fix spelling mistakes, reorder sections, and improve readability in pyproject.toml
--
122c19d4be0fad394fbd02720734aa4625877637 by mukundjha-mj <mukundjha204@gmail.com>:
fix(pyproject): correct spelling and reorder config sections for clarity
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/669 from mukundjha-mj:fix/typos-pyproject 122c19d4be0fad394fbd02720734aa4625877637
PiperOrigin-RevId: 757318920
Copybara import of the project:
--
ade1d98e030a966183f56cb5c9c1b04cf51f5337 by Thiago Neves <thiagohneves@gmail.com>:
fix(tests): use mock GCS client in artifact service tests to avoid real credentials
--
becd2925feebf60196129b029a0ab8d490f7b19e by Thiago Neves <thiagohneves@gmail.com>:
test(agents): add unit tests for live_request_queue, readonly_context, and run_config
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/641 from thiagoneves:feature/increase-test-coverage 0f7a9fc55d97902e190a394f099324fbeb1541af
PiperOrigin-RevId: 756798390
Copybara import of the project:
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f60707a22905f30040808b41b7e3510a47a80fc6 by K <51281148+K-dash@users.noreply.github.com>:
test(cli): Add unit tests for CLI functionality
This commit introduces unit tests for the following CLI-related components:
- cli_deploy.py: Tests for the cloud deployment feature.
- cli_create.py: Tests for the agent creation feature.
- cli.py: Tests for the main CLI execution logic.
- cli_tools_click.py: Tests for the Click-based CLI tools.
--
7be2159a475d0785619fea5e40c70e6461a7f4e1 by K <51281148+K-dash@users.noreply.github.com>:
fix test_cli_eval_success_path
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/577 from K-dash:test/add-unit-tests-for-cli 69f12d3a27d9c50a46ef269075e050f498dee67a
PiperOrigin-RevId: 756602765
(before/after) tool callbacks are invoked throughout the provided chain until one callback does not return None. Callbacks can be async and sync.
PiperOrigin-RevId: 756526507
--
0723b0915550a0af9d1eb2952ee193238eee8178 by Thiago Neves <thiagohneves@gmail.com>:
fix(tests): use mock GCS client in artifact service tests to avoid real credentials
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/601 from thiagoneves:fix/mock-gcs-client-in-tests e7d16719b9c3116b652988d2ed1b1f8893686f3e
PiperOrigin-RevId: 756381115
Copybara import of the project:
--
a4a998d5418af47a4f263823810e8ab85a9ae4d6 by 魏超 <nneverwei@gmail.com>:
fix(cli): Disable auto-reload feature on Windows system
Fixed the issue caused by the auto-reload feature when running the CLI tool on Windows system. By detecting the operating system type, the auto-reload is disabled on Windows system to avoid potential errors: When mcp is asynchronously loaded, it will enter the _make_subprocess_transport NotImplementedError logic due to uvicorn reload=True in fastapi.
--
46c9bb600e4530d3f9c22369c4a99774efa024c9 by 魏超 <nneverwei@gmail.com>:
add an option in the CLI to enable or disable the reload feature. So users(esp. windows) can disable this if they come across the '_make_subprocess_transport NotImplementedError' bug on windows.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/415 from nneverwei:win-subprocess-NotImplError-with-mcp fbb9ab03350bb0a98769cf1a4cf930983ba9fa78
PiperOrigin-RevId: 756360981
(before/after) agent callbacks are invoked throughout the provided chain until one callback does not return None. Callbacks can be async and sync.
PiperOrigin-RevId: 756359693
--session_id : The session ID to save the session to on exit when --save_session is set to true. User will be prompted to enter a session ID if not set.
PiperOrigin-RevId: 756335619
--
5eabc6c1fe339e87637b9ed6d0516a3edcbcb060 by kavinkumarbaskar <kavinkumarbaskar@gmail.com>:
fix readme pip install
--
bb21018aea7a4b8d8a60e6ef42b084dae51d7845 by kavinkumarbaskar <kavinkumarbaskar@gmail.com>:
fix: added build and local testing command
--
aa1f2305b098b79480eab9ab37b744d0273a5fcf by kavinkumarbaskar <kavinkumarbaskar@gmail.com>:
fix: added example
--
69b649d81e6757d6305c481e3415ec8f017a75ac by kavinkumarbaskar <kavinkumarbaskar@gmail.com>:
fix: updated the windows command
--
bd5202308bf08b9b44099c4cd016af23f2e2350e by kavinkumarbaskar <kavinkumarbaskar@gmail.com>:
fix: removed redundant code
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/529 from kavinkumar807:fix-readme-pip-install a49d82d49a0cecb4cee399620c62ae10c1f3370a
PiperOrigin-RevId: 756122021
--
8d5e7f017d975d4ecd5ad6004079fec0f6b417e1 by Mrigank Khandelwal <mrigankkhandelwal300@gmail.com>:
fix: Fixed incorrect difinition of MCP in function docstring
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/594 from Mrigankkh:main 0d52a8059a7c3438207a86c03cfd3f25204d4b2e
PiperOrigin-RevId: 755698357
--
09b10cd96fc095061c6891a0d3cc3cc83948a126 by pratikmahajan <pmahajan@redhat.com>:
fix: change litellm request log level to debug
Litellm was previously logging every request at the info level,
which could clutter the logs with unnecessary detail in production environments.
This commit changes the log statement to use the debug level instead,
ensuring that request details are only logged when debug mode is active.
This helps keep the standard logs focused on more critical information.
Co-authored-by: pratikmahajan<pmahajan@redhat.com>
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/583 from PratikMahajan:litellm-log-levels 04fcd7247693e0c733318789f1ea47ecec81add4
PiperOrigin-RevId: 755691209
Copybara import of the project:
--
93cc9c0b71a92991a888c93675ddc8aee11f21dc by luaifei <lu.aifei@thoughtworks.com>:
fix: Update skipped tests in test_auth_handlers
--
06ddf559c76c113231719bff549d41801a93daf4 by luaifei <lu.aifei@thoughtworks.com>:
fix: Update skipped & failed tests in test_connections_client and test_streaming
--
b8f2d357c1101c59ee9b65fa89a75f216e014a7c by luaifei <lu.aifei@thoughtworks.com>:
fix: Remove ignored test file from Python unit tests workflow
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/553 from luaifei:fix-tests d51e42841e71d388c16cc719a4798b029182084f
PiperOrigin-RevId: 755669644
(before/after) model callbacks are invoked throughout the provided chain until one callback does not return None. Callbacks can be async and sync.
PiperOrigin-RevId: 755565583
Copybara import of the project:
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c1d0d649b5aae1322a02dbaa586822d69b8546f6 by allengour <allengour@google.com>:
fix: fix and test `config.after_timestamp` behavior in `InMemorySessionService.get_session()`
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/438 from allengour:fix/issue-437-after_timestamp-behavior 4b49a5e6509b5ad9dd9103a6dc357fd44c101f31
PiperOrigin-RevId: 755492201
Copybara import of the project:
--
d481e0604a79470e2c1308827b3ecb78bfb5327e by Alan B <alan@nerds.ai>:
feat: 🚧 catch user transcription
--
bba436bb76d1d2f9d5ba969fce38ff8b8a443254 by Alan B <alan@nerds.ai>:
feat: ✨ send user transcription event as llm_response
--
ad2abf540c60895b79c50f9051a6289ce394b98d by Alan B <death1027@outlook.com>:
style: 💄 update lint problems
--
744703c06716300c0f9f41633d3bafdf4cb180a1 by Hangfei Lin <hangfeilin@gmail.com>:
fix: set right order for input transcription
--
31a5d42d6155b0e5caad0c73c8df43255322016f by Hangfei Lin <hangfeilin@gmail.com>:
remove print
--
59e5d9c72060f97d124883150989315401a4c1b5 by Hangfei Lin <hangfeilin@gmail.com>:
remove api version
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/495 from BloodBoy21:main ea29015af041f9785abaa8583e2c767f9d8c8bc8
PiperOrigin-RevId: 755401615
* Fix install command for Zsh compatibility. Wrapped extras list in quotes to prevent Zsh from expanding it as a glob pattern.
* Fix install command for Zsh compatibility. Wrapped extras list in quotes to prevent Zsh from expanding it as a glob pattern.
---------
Co-authored-by: Hangfei Lin <hangfei@google.com>
--
ec246aeee44156db8a94661b7e997cf2012f2e4e by Yuwei Fu <fuyuweiwill@gmail.com>:
Fix install command for Zsh compatibility. Wrapped extras list in quotes to prevent Zsh from expanding it as a glob pattern.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/520 from Imfuyuwei:main 6cd4ecc9216ea2f03c3fed43e37d18d1838cac05
PiperOrigin-RevId: 754625822
--
41329f091a31b3d32af3025000951295477c717b by Hangfei Lin <hangfei@google.com>:
doc: Update CONTRIBUTING.md to include testing requirements
--
380b82e00fa8f16cbfd9e113ef45e1fc8e8c0932 by Hangfei Lin <hangfei@google.com>:
doc: Update CONTRIBUTING.md
--
61e81d848c275d4be3da2cb60a93e84bc68b3b4b by Hangfei Lin <hangfei@google.com>:
doc: Update CONTRIBUTING.md
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/541 from google:hangfei-patch-1 63d5c56e663cdfe6f6e78be85d9686873aeb2a5a
PiperOrigin-RevId: 754541490
--
1ca16aba5b7b869afa8e0a0cddaea539acd737f5 by bart.lee(이철민)/kakao <bart.lee@kakaocorp.com>:
chore: Improves session update time validation message
Enhances the error message when a session's last update time is later than the storage update time.
This provides better readability by formatting the timestamps in the error message.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/446 from kakao-bart-lee:main a2a0cff036429b61bd7cf1600fc4c2c0cf50089d
PiperOrigin-RevId: 754452381
Enhances the error message when a session's last update time is later than the storage update time.
This provides better readability by formatting the timestamps in the error message.
Co-authored-by: Hangfei Lin <hangfei@google.com>
--
ad923c2c8c503ba73c62db695e88f1a3ea1aeeea by YU MING HSU <abego452@gmail.com>:
docs: enhance Contribution process within CONTRIBUTING.md
--
8022924fb7e975ac278d38fce3b5fd593d874536 by YU MING HSU <abego452@gmail.com>:
fix: move _maybe_append_user_content from google_llm.py to base_llm.py,
so subclass can get benefit from it, call _maybe_append_user_content
from generate_content_async within lite_llm.py
--
cf891fb1a3bbccaaf9d0055b23f614ce52449977 by YU MING HSU <abego452@gmail.com>:
fix: modify install dependencies cmd, and use pyink to format codebase
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/428 from hsuyuming:fix_litellm_error_issue_427 dbec4949798e6399a0410d1b8ba7cc6a7cad7bdd
PiperOrigin-RevId: 754124679
--
709e1dd079d03d7eb4d742b9448ed3d1b946ff30 by joao.campista <joaocampista@proton.me>:
feat: add ordering to recent events in database session service
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/454 from lugui-co:main 912503f972c9cbd8982f2b7f8b210d4e0fe08b69
PiperOrigin-RevId: 753013663
--
21736067f9 by Alankrit Verma <alankrit386@gmail.com>:
feat(llm_flows): support async before/after tool callbacks
Previously, callbacks were treated as purely synchronous,
so passing an async coroutine caused “was never awaited”
errors and Pydantic serialization failures.
Now we detect awaitable return values from
before_tool_callback and after_tool_callback,
and `await` them if necessary.
Fixes: #380
--
08ac9a117e by Alankrit Verma <alankrit386@gmail.com>:
Refactor function callback handling and update type signatures
- Simplify variable names in `functions.py`: always use `function_response` and `altered_function_response`
- Update LlmAgent callback type aliases to support async:
- Import `Awaitable`
- Change `BeforeToolCallback` and `AfterToolCallback` signatures to return `Awaitable[Optional[dict]]`
- Ensure `after_tool_callback` uses `await` when necessary
--
fcbf57466e by Alankrit Verma <alankrit386@gmail.com>:
refactor: update callback type signatures to support sync and async responses
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/434 from AlankritVerma01:support-async-tool-callbacks 926b0ef1a6
PiperOrigin-RevId: 753005846
--replay : a json file that contains the initial session state and user queries, adk run will create a new session based on the state and run the user queries against the session. Users cannot continue to interact with agent.
--resume : a json file that contains the previously saved session (by --save_session option), adk run will replay this session and then user can continue to interact with the agent.
PiperOrigin-RevId: 752923403
- Simplify variable names in `functions.py`: always use `function_response` and `altered_function_response`
- Update LlmAgent callback type aliases to support async:
- Import `Awaitable`
- Change `BeforeToolCallback` and `AfterToolCallback` signatures to return `Awaitable[Optional[dict]]`
- Ensure `after_tool_callback` uses `await` when necessary
Previously, callbacks were treated as purely synchronous,
so passing an async coroutine caused “was never awaited”
errors and Pydantic serialization failures.
Now we detect awaitable return values from
before_tool_callback and after_tool_callback,
and `await` them if necessary.
Fixes: #380
--
005028831b2e0873414db62af9ec02ef47a670d2 by Wei Sun (Jack) <weisun@google.com>:
Excludes tests/unittests/tools/application_integration_tool/clients/test_connections_client.py from python-unit-tests.yml
--
42ed38ff814f1a4811468d78cf1872869279919d by Wei Sun (Jack) <weisun@google.com>:
reorder skipped tests in python-unit-tests.yml
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/368 from google:fix-unittests 42ed38ff814f1a4811468d78cf1872869279919d
PiperOrigin-RevId: 750782234
BREAKING CHANGE: `token` attribute of OAuth2Auth credentials used to be a dict containing both access_token and refresh_token, given that may cause confusions, now we replace it with access_token and refresh_token at top level of the auth credentials
PiperOrigin-RevId: 750346172
--
94c7f9579c56cb20252fd61b5fe568f73d864679 by Vignesh Iyer <vgnshiyer@gmail.com>:
chore: add support for overriding `skip_summarization` in AgentTool
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/324 from vgnshiyer:main 94c7f9579c56cb20252fd61b5fe568f73d864679
PiperOrigin-RevId: 750060638
--
16994cb2d5d646341f5285ca71d72697d81d18fe by Nilanjan De <nilanjan.de@gmail.com>:
chore: fix typos
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/272 from n1lanjan:fix-typos a1ab655b08ec08c5dd2da71aab9a2386e3610e84
PiperOrigin-RevId: 749690489
All other methods that have `tool_context` as an argument, refer to it as "tool_context" in the docstring under Args.
Co-authored-by: Hangfei Lin <hangfei@google.com>
* Fix typos in docstrings of evaluation_generator.py and event.py (#101)
Corrected 'resposnes' to 'responses', 'uncertainity' to 'uncertainty', 'conversaction' to 'conversation', and 'exeuction' to 'execution' in relevant docstrings for clarity.
* Fix typos in docstrings and comments across multiple files
Corrected 'detla' to 'delta', 'buil-in' to 'built-in', 'walkaround' to 'workaround', and 'conversaction' to 'conversation' for clarity in relevant files. Updated comments for consistency.
---------
Co-authored-by: Hangfei Lin <hangfei@google.com>
* Fix typos in docstrings across multiple files: 'conversaction' -> 'conversation' and 'dsiabled' -> 'disabled'. Update comments for clarity.
* Fix typos in comments and docstrings across multiple files
- Corrected "reqeust" to "request" in auth_preprocessor.py
- Fixed "credentails" to "credentials" in auth_tool.py
- Updated "agetn" to "agent" in cli_eval.py
- Changed "creiteria" to "criteria" in cli_tools_click.py
---------
Co-authored-by: fangyu <fangyu.jobs@gmail.com>
Co-authored-by: Hangfei Lin <hangfei@google.com>
* Move unit tests to root package.
* Adds deps to "test" extra, and mark two broken tests in tests/unittests/auth/test_auth_handler.py
* Adds github workflow
* minor fix in lite_llm.py for python 3.9.
* format pyproject.toml
* Add BigQuery first-party tools. See [here](https://github.com/google/adk-python/commit/d6c6bb4b2489a8b7a4713e4747c30d6df0c07961) for more details.
## 1.1.0
### Features
* Extract agent loading logic from fast_api.py to a separate AgentLoader class and support more agent definition folder/file structure.
* Added audio play in web UI.
* Added input transcription support for live/streaming.
* Added support for storing eval run history locally in adk eval cli.
* Image artifacts can now be clicked directly in chat message to view.
* Left side panel can now be resized.
### Bug Fixes
* Avoid duplicating log in stderr.
* Align event filtering and ordering logic.
* Add handling for None param.annotation.
* Fixed several minor bugs regarding eval tab in web UI.
### Miscellaneous Chores
* Updates mypy config in pyproject.toml.
* Add google search agent in samples.
* Update filtered schema parameters for Gemini API.
* Adds autoformat.sh for formatting codebase.
## 1.0.0
### ⚠ BREAKING CHANGES
* Evaluation dataset schema is finalized with strong-type pydantic models.
(previously saved eval file needs re-generation, for both adk eval cli and
the eval tab in adk web UI).
*`BuiltInCodeExecutor` (in code_executors package) replaces
`BuiltInCodeExecutionTool` (previously in tools package).
* All methods in services are now async, including session service, artifact
service and memory service.
*`list_events` and `close_session` methods are removed from session service.
* agent.py file structure with MCP tools are now easier and simpler ([now](https://github.com/google/adk-python/blob/3b5232c14f48e1d5b170f3698d91639b079722c8/contributing/samples/mcp_stdio_server_agent/agent.py#L33) vs [before](https://github.com/google/adk-python/blob/a4adb739c0d86b9ae4587547d2653d568f6567f2/contributing/samples/mcp_agent/agent.py#L41)).
Old format is not working anymore.
*`Memory` schema and `MemoryService` is redesigned.
* Mark various class attributes as private in the classes in the `tools` package.
* Disabled session state injection if instruction provider is used.
(so that you can have `{var_name}` in the instruction, which is required for code snippets)
* Toolbox integration is revamped: tools/toolbox_tool.py → tools/toolbox_toolset.py.
* Removes the experimental `remote_agent.py`. We'll redesign it and bring it back.
### Features
* Dev UI:
* A brand new trace view for overall agent invocation.
* A revamped evaluation tab and comparison view for checking eval results.
* Introduced `BaseToolset` to allow dynamically add/remove tools for agents.
* Revamped MCPToolset with the new BaseToolset interface.
* Revamped GoogleApiTool, GoogleApiToolset and ApplicationIntegrationToolset with the new BaseToolset interface.
* Resigned agent.py file structure when needing MCPToolset.
* Allows evals to be extended for non-text modality.
* Allows for a structured interaction with the uber eval system.
* Redesigned Memory schema and MemoryService interfaces.
* Added token usage to LlmResponse.
* Allowed specifying `--adk_version` in `adk deploy cloud_run` cli. Default is the current version.
### Bug Fixes
* Fixed `adk deploy cloud_run` failing bug.
* Fixed logs not being printed due to `google-auth` library.
### Miscellaneous Chores
* Display full help text when adk cli receives invalid arguments.
*`adk web` now binds `127.0.0.1` by default, instead of 0.0.0.0.
*`InMemoryRunner` now takes `BaseAgent` in constructor.
* Various docstring improvements.
* Various UI tweaks.
* Various bug fixes.
* Update various contributing/samples for contributors to validate the implementation.
## 0.5.0
### ⚠ BREAKING CHANGES
* Updated artifact and memory service interface to be async. Agents that
interact with these services through callbacks or tools will now need to
adjust their invocation methods to be async (using await), or ensure calls
are wrapped in an asynchronous executor like asyncio.run(). Any service that
extends the base interface must also be updated.
### Features
* Introduced the ability to chain model callbacks.
* Added support for async agent and model callbacks.
* Added input transcription support for live/streaming.
* Captured all agent code error and display on UI.
* Set param required tag to False by default in openapi_tool.
* Updated evaluation functions to be asynchronous.
### Bug Fixes
* Ensured a unique ID is generated for every event.
* Fixed the issue when openapi_specparser has parameter.required as None.
* Updated the 'type' value on the items/properties nested structures for Anthropic models to adhere to JSON schema.
* Fix litellm error issues.
### Miscellaneous Chores
* Regenerated API docs.
* Created a `developer` folder and added samples.
* Updated the contributing guide.
* Docstring improvements, typo fixings, GitHub action to enforce code styles on formatting and imports, etc.
## 0.4.0
### ⚠ BREAKING CHANGES
* Set the max size of strings in database columns. MySQL mandates that all VARCHAR-type fields must specify their lengths.
* Extract content encode/decode logic to a shared util, resolve issues with JSON serialization, and update key length for DB table to avoid key too long issue in mysql.
* Enhance `FunctionTool` to verify if the model is providing all the mandatory arguments.
### Features
* Update ADK setup guide to improve onboarding experience.
* feat: add ordering to recent events in database session service.
* feat(llm_flows): support async before/after tool callbacks.
* feat: Added --replay and --resume options to adk run cli. Check adk run --help for more details.
* Created a new Integration Connector Tool (underlying of the ApplicationIntegrationToolSet) so that we do not force LLM to provide default value.
### Bug Fixes
* Don't send content with empty text to LLM.
* Fix google search reading undefined for `renderedContent`.
### Miscellaneous Chores
* Docstring improvements, typo fixings, github action to enfore code styles on formatting and imports, etc.
## 0.3.0
### ⚠ BREAKING CHANGES
* Auth: expose `access_token` and `refresh_token` at top level of auth
[Google's Open Source Community Guidelines](https://opensource.google/conduct/).
## Contribution process
## Contribution workflow
### Finding Issues to Work On
- Browse issues labeled **`good first issue`** (newcomer-friendly) or **`help wanted`** (general contributions).
- For other issues, please kindly ask before contributing to avoid duplication.
### Requirement for 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.
### 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
### Testing Requirements
To maintain code quality and prevent regressions, all code changes must include comprehensive tests and verifiable end-to-end (E2E) evidence.
#### Unit Tests
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.
#### 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.
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.
- **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.
### 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
git clone git@github.com:google/adk-python.git
cd adk-python
```
2. **Create and activate a virtual environment:**
```shell
python -m venv .venv
```
```shell
source .venv/bin/activate
```
**windows**
```shell
source .\.venv\Scripts\activate
```
3. **Install dependencies:**
```shell
pip install uv
uv sync --all-extras
```
4. **Run unit tests:**
```shell
uv run pytest ./tests/unittests
```
5. **Run pyink to format codebase:**
```shell
uv run pyink --config pyproject.toml ./src
```
6. **Build the package**
```shell
uv build
```
7. **Local Testing**
Have a simple testing folder setup as mentioned in the [quickstart](https://google.github.io/adk-docs/get-started/quickstart/)
then install the local package with changes after building it using the below command to test the changes.
[](https://github.com/google/adk-python/actions/workflows/python-unit-tests.yml)
The Agent Development Kit (ADK) is designed for developers seeking fine-grained control and flexibility when building advanced AI agents that are tightly integrated with services in Google Cloud. It allows you to define agent behavior, orchestration, and tool use directly in code, enabling robust debugging, versioning, and deployment anywhere – from your laptop to the cloud.
Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.
---
## ✨ Key Features
* **Code-First Development:** Define agents, tools, and orchestration logic for maximum control, testability, and versioning.
* **Multi-Agent Architecture:** Build modular and scalable applications by composing multiple specialized agents in flexible hierarchies.
* **Rich Tool Ecosystem:** Equip agents with diverse capabilities using pre-built tools, custom Python functions, API specifications, or integrating existing tools.
* **Flexible Orchestration:** Define workflows using built-in agents for predictable pipelines, or leverage LLM-driven dynamic routing for adaptive behavior.
* **Integrated Developer Experience:** Develop, test, and debug locally with a CLI and visual web UI.
* **Built-in Evaluation:** Measure agent performance by evaluating response quality and step-by-step execution trajectory.
* **Deployment Ready:** Containerize and deploy your agents anywhere – scale with Vertex AI Agent Engine, Cloud Run, or Docker.
* **Native Streaming Support:** Build real-time, interactive experiences with native support for bidirectional streaming (text and audio).
OpenAPI specs, or integrate existing tools to give agents diverse
capabilities, all for tight integration with the Google ecosystem.
- **Code-First Development**: Define agent logic, tools, and orchestration
directly in Python for ultimate flexibility, testability, and versioning.
- **Modular Multi-Agent Systems**: Design scalable applications by composing
multiple specialized agents into flexible hierarchies.
- **Deploy Anywhere**: Easily containerize and deploy agents on Cloud Run or
scale seamlessly with Vertex AI Agent Engine.
## 🤖 Agent2Agent (A2A) Protocol and ADK Integration
For remote agent-to-agent communication, ADK integrates with the
[A2A protocol](https://github.com/google/A2A/).
See this [example](https://github.com/google/A2A/tree/main/samples/python/agents/google_adk)
for how they can work together.
## 🚀 Installation
You can install the ADK using `pip`:
### Stable Release (Recommended)
You can install the latest stable version of ADK using `pip`:
```bash
pip install google-adk
```
## 🏁 Getting Started
The release cadence is weekly.
Create your first agent (`my_agent/agent.py`):
This version is recommended for most users as it represents the most recent official release.
### Development Version
Bug fixes and new features are merged into the main branch on GitHub first. If you need access to changes that haven't been included in an official PyPI release yet, you can install directly from the main branch:
Note: The development version is built directly from the latest code commits. While it includes the newest fixes and features, it may also contain experimental changes or bugs not present in the stable release. Use it primarily for testing upcoming changes or accessing critical fixes before they are officially released.
## 📚 Documentation
Explore the full documentation for detailed guides on building, evaluating, and
model="gemini-2.0-flash-exp",# Or your preferred Gemini model
model="gemini-2.0-flash",# Or your preferred Gemini model
instruction="You are a helpful assistant. Answer user questions using Google Search when needed.",
description="An assistant that can search the web.",
tools=[google_search]
)
```
Create `my_agent/__init__.py`:
### Define a multi-agent system:
Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
Or launch the Web UI from the folder that contains `my_agent` folder:
```bash
adk web
```
For a full step-by-step guide, check out the [quickstart](https://google.github.io/adk-docs/get-started/quickstart/) or [sample agents](https://github.com/google/adk-samples).
## 📚 Resources
Explore the full documentation for detailed guides on building, evaluating, and deploying agents:
We welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our [**Contributing Guidelines**](./CONTRIBUTING.md) to get started.
We welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our
- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/#questions).
- Then if you want to contribute code, please read [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.
This sample demonstrates how to use the `ApplicationIntegrationToolset` within an ADK agent to interact with external applications, specifically Jira in this case. The agent (`agent.py`) is configured to manage Jira issues using a pre-configured Application Integration connection.
## Prerequisites
1.**Set up Integration Connection:**
* You need an existing [Integration connection](https://cloud.google.com/integration-connectors/docs/overview) configured to interact with your Jira instance. Follow the [documentation](https://google.github.io/adk-docs/tools/google-cloud-tools/#use-integration-connectors) to provision the Integration Connector in Google Cloud and then use this [documentation](https://cloud.google.com/integration-connectors/docs/connectors/jiracloud/configure) to create an JIRA connection. Note the `Connection Name`, `Project ID`, and `Location` of your connection.
*
2.**Configure Environment Variables:**
* Create a `.env` file in the same directory as `agent.py` (or add to your existing one).
* Add the following variables to the `.env` file, replacing the placeholder values with your actual connection details:
```dotenv
CONNECTION_NAME=<YOUR_JIRA_CONNECTION_NAME>
CONNECTION_PROJECT=<YOUR_GOOGLE_CLOUD_PROJECT_ID>
CONNECTION_LOCATION=<YOUR_CONNECTION_LOCATION>
```
## How to Use
1. **Install Dependencies:** Ensure you have the necessary libraries installed (e.g., `google-adk`, `python-dotenv`).
2. **Run the Agent:** Execute the agent script from your terminal:
```bash
python agent.py
```
3. **Interact:** Once the agent starts, you can interact with it by typing prompts related to Jira issue management.
## Sample Prompts
Here are some examples of how you can interact with the agent:
* `Can you list me all the issues ?`
* `Can you list me all the projects ?`
* `Can you create an issue: "Bug in product XYZ" in project ABC ?`
You are an agent that helps manage issues in a JIRA instance.
Be accurate in your responses based on the tool response. You can perform any formatting in the response that is appropriate or if asked by the user.
If there is an error in the tool response, understand the error and try and see if you can fix the error and then and execute the tool again. For example if a variable or parameter is missing, try and see if you can find it in the request or user query or default it and then execute the tool again or check for other tools that could give you the details.
If there are any math operations like count or max, min in the user request, call the tool to get the data and perform the math operations and then return the result in the response. For example for maximum, fetch the list and then do the math operation.
to get your client id and client secret. Be sure to choose "web" as your client
type.
1. Follow https://developers.google.com/workspace/guides/configure-oauth-consent to add scope "https://www.googleapis.com/auth/bigquery".
1. Follow https://developers.google.com/identity/protocols/oauth2/web-server#creatingcred to add http://localhost/dev-ui/ to "Authorized redirect URIs".
Note: localhost here is just a hostname that you use to access the dev ui,
replace it with the actual hostname you use to access the dev ui.
1. For 1st run, allow popup for localhost in Chrome.
1. Configure your `.env` file to add two more variables before running the agent:
* OAUTH_CLIENT_ID={your client id}
* OAUTH_CLIENT_SECRET={your client secret}
Note: don't create a separate .env, instead put it to the same .env file that
stores your Vertex AI or Dev ML credentials
1. Set `RUN_WITH_ADC=False` in `agent.py` and run the agent
## Sample prompts
* which weather datasets exist in bigquery public data?
This sample tests and demos the OAuth support in ADK via two tools:
* 1. bigquery_datasets_list:
List user's datasets.
* 2. bigquery_datasets_get:
Get a dataset's details.
* 3. bigquery_datasets_insert:
Create a new dataset.
* 4. bigquery_tables_list:
List all tables in a dataset.
* 5. bigquery_tables_get:
Get a table's details.
* 6. bigquery_tables_insert:
Insert a new table into a dataset.
## How to use
* 1. Follow https://developers.google.com/identity/protocols/oauth2#1.-obtain-oauth-2.0-credentials-from-the-dynamic_data.setvar.console_name. to get your client id and client secret.
Be sure to choose "web" as your client type.
* 2. Configure your .env file to add two variables:
* GOOGLE_CLIENT_ID={your client id}
* GOOGLE_CLIENT_SECRET={your client secret}
Note: done't create a separate .env , instead put it to the same .env file that stores your Vertex AI or Dev ML credentials
* 3. Follow https://developers.google.com/identity/protocols/oauth2/web-server#creatingcred to add http://localhost/dev-ui to "Authorized redirect URIs".
Note: localhost here is just a hostname that you use to access the dev ui, replace it with the actual hostname you use to access the dev ui.
* 4. For 1st run, allow popup for localhost in Chrome.
## Sample prompt
*`Do I have any datasets in project sean-dev-agent ?`
*`Do I have any tables under it ?`
*`could you get me the details of this table ?`
*`Can you help to create a new dataset in the same project? id : sean_test , location: us`
*`could you show me the details of this new dataset ?`
*`could you create a new table under this dataset ? table name : sean_test_table. column1 : name is id , type is integer, required. column2 : name is info , type is string, required. column3 : name is backup , type is string, optional.`
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