LiteLLM's `ollama_chat` provider does not accept array-based content in messages. This change flattens multipart content by joining text parts or JSON-serializing non-text parts before sending the request to the LiteLLM completion API. This ensures compatibility with Ollama's chat endpoint.
Close#3727
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 843382361
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
George Weale
Yifan Wang
Google Team Member
Xuan Yang
Xiang (Sean) Zhou
Krishna vamsi Dhulipalla
hoonji