The `_to_litellm_response_format` function now adapts the output format based on the provided model. Gemini models continue to use the "response_schema" key, while OpenAI-compatible models (including Azure OpenAI and Anthropic) now use the "json_schema" key as per LiteLLM's documentation for JSON mode. The schema name is also included in the "json_schema" format.
Close#3713Close#3890
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 843326850
Explicitly resolve the GCP project from arguments or environment variables before calling `spanner.Client`. This avoids redundant calls to `google.auth.default()` that newer versions of the Spanner library might make.
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 843320305
Performance: Switched to BigQuery Storage Write API with async batching, reducing agent latency.
Multimodal: Native support for GCS offloading (ObjectRef) for images, video, and large text.
Reliability: Added connection pooling, retries, and a "rescue flush" for safe shutdown on Cloud Run.
Observability: Fixed distributed tracing hierarchy with ContextVars support.
PiperOrigin-RevId: 843062561
This change introduces an add_session_to_memory method to both CallbackContext and ToolContext, allowing agents and tools to explicitly trigger the saving of the current session to the memory service. This enables more fine-grained control over when session data is persisted for memory generation. A ValueError is raised if the memory service is not configured.
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 843021899
Merge https://github.com/google/adk-python/pull/3875
# Problem
The example in `contributing/samples/human_in_loop/README.md` shows:
```python
await runner.run_async(...)
```
However, `run_async` returns an **async generator**, so awaiting it raises:
```
TypeError: object async_generator can't be used in 'await' expression
```
Additionally, the example payload uses `"ticket-id"` while ADK tools and other examples use `"ticketId"`, creating a mismatch that breaks copy/paste usage.
# Solution
- Updated the snippet to consume the async generator correctly:
```python
async for event in runner.run_async(...):
...
```
- Aligned the payload key from `"ticket-id"` → `"ticketId"` for consistency with ADK schema and other examples.
These changes make the example runnable and consistent with the API’s actual behavior.
# Testing Plan
This PR is a **small documentation correction**, so no unit tests are required per contribution guidelines.
- Verified the corrected snippet manually to ensure it no longer raises `TypeError`.
# Checklist
- [x] I have read the CONTRIBUTING.md document.
- [x] I have performed a self-review of my own code.
- [ ] I have commented my code, particularly in hard-to-understand areas. *(N/A – docs only)*
- [ ] I have added tests that prove my fix is effective or that my feature works. *(N/A – docs only)*
- [ ] New and existing unit tests pass locally with my changes. *(N/A – docs only)*
- [x] I have manually tested my changes end-to-end.
- [ ] Any dependent changes have been merged and published in downstream modules. *(N/A)*
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3875 from krishna-dhulipalla:docs/fix-adk-run_async-example 83fc5b430690b63b8b7bf1025ef03b0761264751
PiperOrigin-RevId: 842952362
When users instantiate LlmAgent directly (not subclassed), the origin inference incorrectly detected ADK's internal google/adk/agents/ path as a mismatch.
Use metadata from AgentLoader when available
Skip inference for google.adk.* module
Close#3143
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 842774292
Context: many issues related to local mult-agent system is tagged with a2a
Co-authored-by: Xiang (Sean) Zhou <seanzhougoogle@google.com>
PiperOrigin-RevId: 842397159
Add using the execute sql query return result as list of dictionaries.
In each dictionary the key is the column name and the value is the value of
the that column in a given row.
PiperOrigin-RevId: 840909555
