[pull] main from google:main#391
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Adds the two per-invocation call-count metrics from semconv #336 (open-telemetry/semantic-conventions-genai#336): * gen_ai.invoke_agent.inference_calls: model calls in one invoke_agent span. * gen_ai.invoke_agent.tool_calls: tool calls in one invoke_agent span. Both are counted on the per-span TelemetryContext at the call sites (record_inference_telemetry, record_tool_execution) and flushed in record_agent_invocation, keyed by gen_ai.agent.name. One point per invoke_agent span, so a multi-agent invocation does not double count. Failed calls still count; only client-side tool calls count. Always emitted (a no-op without a MeterProvider). PiperOrigin-RevId: 940684383
This moves the transfer loop from _dynamic_node_scheduler to Context.run_node, making run_node the unified entrypoint for transfers in both static workflows and dynamic agent calls. Co-authored-by: Shangjie Chen <deanchen@google.com> PiperOrigin-RevId: 940687129
Add replay test fixtures covering the documented flows of the contributing/samples/models/interactions_api sample (basic text, Google Search grounding, multi-turn stateful recall, and a custom function tool), so the sample is exercised by tests/unittests/test_samples.py. Also fix the shared sample test harness (cli/agent_test_runner.py) to support the Interactions API: - Exclude the volatile interaction_id (a server-issued token) and turn_complete fields from fixture comparison and from rebuilt fixtures, matching how other non-reproducible fields (timestamps, usage metadata, etc.) are already handled. The Interactions API stamps these onto every model response and the replay MockModel cannot reproduce them. - Drive all turns of a fixture rebuild on a single persistent event loop. The sync Runner.run() uses asyncio.run() per call, which closes the loop the model's cached async api_client is bound to, so subsequent turns fail with "Event loop is closed" and corrupt multi-turn fixtures. Reusing one loop keeps the cached client valid across the conversation. Co-authored-by: Haran Rajkumar <haranrk@google.com> PiperOrigin-RevId: 940691339
…vely httpx internally normalizes HTTP header keys to lowercase, so the check should be case-insensitive closes #6200 Co-authored-by: Kathy Wu <wukathy@google.com> PiperOrigin-RevId: 940719476
Use Context.run_node from within _workflow.py so static graphs also use the unified transfer loop. Co-authored-by: Shangjie Chen <deanchen@google.com> PiperOrigin-RevId: 940728866
Adds the two per-invocation call-count metrics from semconv #336 (open-telemetry/semantic-conventions-genai#336): * gen_ai.invoke_agent.inference_calls: model calls in one invoke_agent span. * gen_ai.invoke_agent.tool_calls: tool calls in one invoke_agent span. Both are counted on the per-span TelemetryContext at the call sites (record_inference_telemetry, record_tool_execution) and flushed in record_agent_invocation, keyed by gen_ai.agent.name. One point per invoke_agent span, so a multi-agent invocation does not double count. Failed calls still count; only client-side tool calls count. Always emitted (a no-op without a MeterProvider). PiperOrigin-RevId: 940760757
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