Default CLI session storage to SQLite instead of in-memory
Previously, adk run and adk web used in-memory session storage by default, causing sessions to be lost on restart. Now sessions persist to .adk/session.db automatically. To use in-memory storage, pass --session-service-uri memory://
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 838975328
This change introduces an `AnthropicLlm` base class for direct Anthropic API calls using `AsyncAnthropic`. The existing `Claude` class now inherits from `AnthropicLlm` and is specialized to use `AsyncAnthropicVertex` for models hosted on Vertex AI. The `messages.create` call is now properly awaited
Merge: https://github.com/google/adk-python/pull/2904
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 838851026
Also provide a command line tool `adk migrate session` for DB migration
Addresses https://github.com/google/adk-python/discussions/3605
Addresses https://github.com/google/adk-python/issues/3681
To verify:
```
# Start one postgres DB
docker run --name my-postgres -d -e POSTGRES_DB=agent -e POSTGRES_USER=agent -e POSTGRES_PASSWORD=agent -e PGDATA=/var/lib/postgresql/data/pgdata -v pgvolume:/var/lib/postgresql/data -p 5532:5432 postgres
# Connect to an old version of ADK and produce some query data
adk web --session_service_uri=postgresql://agent:agent@localhost:5532/agent
# Check out to the latest branch and restart ADK web
# You should see error log ask you to migrate the DB
# Start a new DB
docker run --name migration-test-db \
-d \ --rm \ -e POSTGRES_DB=agent \ -e POSTGRES_USER=agent \ -e POSTGRES_PASSWORD=agent -e PGDATA=/var/lib/postgresql/data/pgdata -v migration_test_vol:/var/lib/postgresql/data -p 5533:5432 postgres
# DB Migration
adk migrate session \
--source_db_url="postgresql://agent:agent@localhost:5532/agent" \
--dest_db_url="postgresql://agent:agent@localhost:5533/agent"
# Run ADK web with the new DB
adk web --session_service_uri=postgresql+asyncpg://agent:agent@localhost:5533/agent
# You should see the data from old DB is migrated
```
Co-authored-by: Shangjie Chen <deanchen@google.com>
PiperOrigin-RevId: 837341139
This calls the cloudapiregistry.googleapis.com API to get MCP tools from the project's registry, and adds them to ADK.
Co-authored-by: Kathy Wu <wukathy@google.com>
PiperOrigin-RevId: 837166909
Adds the shared adk_services_options decorator to adk run and other commands so developers can pass session/artifact URIs from the CLI
Has new warning for the unsupported memory service on adk run, and removes the legacy --session_db_url/--artifact_storage_uri flags with tests
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 836743358
This change routes adk run and the FastAPI server through the new session/artifact service factory, keeps the default experience backed by per-agent .adk storage
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 836733234
Previously, image parts were always filtered out when converting content to Anthropic message parameters. This change updates the logic to only filter out image parts and log a warning when the content role is not "user". This enables sending image data as part of user prompts to Claude models
Merges: https://github.com/google/adk-python/pull/3286
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 836725196
Merge https://github.com/google/adk-python/pull/3284
**Problem:**
When debugging agents that utilize the `VertexAiSearchTool`, it's currently difficult to inspect the specific configuration parameters (datastore ID, engine ID, filter, max_results, etc.) being passed to the underlying Vertex AI Search API via the `LlmRequest`. This lack of visibility can hinder troubleshooting efforts related to tool configuration.
**Solution:**
This PR enhances the `VertexAiSearchTool` by adding a **debug-level log statement** within the `process_llm_request` method. This log precisely records the parameters being used for the Vertex AI Search configuration just before it's appended to the `LlmRequest`.
This provides developers with crucial visibility into the tool's runtime behavior when debug logging is enabled, significantly improving the **debuggability** of agents using this tool. Corresponding unit tests were updated to rigorously verify this new logging output using `caplog`. Additionally, minor fixes were made to the tests to resolve Pydantic validation errors.
Co-authored-by: Xuan Yang <xygoogle@google.com>
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3284 from omkute10:feat/add-logging-vertex-search-tool 199c12bf00a57abe202401591088c0423b39b928
PiperOrigin-RevId: 836419886
This change replaces the use of `ChatCompletionDeveloperMessage` with `ChatCompletionSystemMessage` and sets the role to "system" for providing system instructions to LiteLLM models
Close#3657
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 835388738
Merge https://github.com/google/adk-python/pull/3576
**Please ensure you have read the [contribution guide](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) before creating a pull request.**
### Link to Issue or Description of Change
**1. Link to an existing issue (if applicable):**
- Closes: #3557
- Related: #_issue_number_
**2. Or, if no issue exists, describe the change:**
_If applicable, please follow the issue templates to provide as much detail as
possible._
**Problem:**
When creating a BaseAgent with multiple sub-agents, there was no validation to ensure that all sub-agents have unique names. This could lead to confusion when trying to find or reference specific sub-agents by name, as duplicate names would make it ambiguous which agent is being referenced.
**Solution:**
Added a @field_validator for the sub_agents field in BaseAgent that validates all sub-agents have unique names. The validator:
Checks for duplicate names in the sub-agents list
Raises a ValueError with a clear error message listing all duplicate names found
Returns the validated list if all names are unique
Handles edge cases like empty lists gracefully
### Testing Plan
_Please describe the tests that you ran to verify your changes. This is required
for all PRs that are not small documentation or typo fixes._
**Unit Tests:**
- [x] I have added or updated unit tests for my change.
- [x] All unit tests pass locally.
_Please include a summary of passed `pytest` results._
Added 4 new test cases in tests/unittests/agents/test_base_agent.py:
test_validate_sub_agents_unique_names_single_duplicate: Verifies that a single duplicate name raises ValueError
test_validate_sub_agents_unique_names_multiple_duplicates: Verifies that multiple duplicate names are all reported in the error message
test_validate_sub_agents_unique_names_no_duplicates: Verifies that unique names pass validation successfully
test_validate_sub_agents_unique_names_empty_list: Verifies that empty sub-agents list passes validation
All tests pass locally. You can run with:
pytest tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_single_duplicate tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_multiple_duplicates tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_no_duplicates tests/unittests/agents/test_base_agent.py::test_validate_sub_agents_unique_names_empty_list -v
**Manual End-to-End (E2E) Tests:**
_Please provide instructions on how to manually test your changes, including any
necessary setup or configuration. Please provide logs or screenshots to help
reviewers better understand the fix._
Test Case 1: Duplicate names should raise error
from google.adk.agents import Agent
agent1 = Agent(name="sub_agent", model="gemini-2.5-flash")
agent2 = Agent(name="sub_agent", model="gemini-2.5-flash") # Same name
# This should raise ValueError
try:
parent = Agent(
name="parent",
model="gemini-2.5-flash",
sub_agents=[agent1, agent2]
)
except ValueError as e:
print(f"Expected error: {e}")
# Output: Found duplicate sub-agent names: `sub_agent`. All sub-agents must have unique names.
Test Case 2: Unique names should work
from google.adk.agents import Agent
agent1 = Agent(name="agent1", model="gemini-2.5-flash")
agent2 = Agent(name="agent2", model="gemini-2.5-flash")
# This should work without error
parent = Agent(
name="parent",
model="gemini-2.5-flash",
sub_agents=[agent1, agent2]
)
print("Success: Unique names validated correctly")
### Checklist
- [x] I have read the [CONTRIBUTING.md](https://github.com/google/adk-python/blob/main/CONTRIBUTING.md) document.
- [x] I have performed a self-review of my own code.
- [x] I have commented my code, particularly in hard-to-understand areas.
- [x] I have added tests that prove my fix is effective or that my feature works.
- [x] New and existing unit tests pass locally with my changes.
- [x] I have manually tested my changes end-to-end.
- [x] Any dependent changes have been merged and published in downstream modules.
### Additional context
This change adds validation at the BaseAgent level, so it automatically applies to all agent types that inherit from BaseAgent (e.g., LlmAgent, LoopAgent, etc.). The validation uses Pydantic's field validator system, which runs during object initialization, ensuring the constraint is enforced early and consistently.
The error message clearly identifies which names are duplicated, making it easy for developers to fix the issue:
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3576 from sarojrout:feat/validate-unique-sub-agent-names 07adf1f9a5fc935389eb9dfa3cbc1311f551ebe3
PiperOrigin-RevId: 835358118
The `database_session_service` now updates the `update_time` of a session to the event's timestamp when an event is appended
Close#2721
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 834994070
