Skip to content

fix: Update google genai streaming test #2630

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
vblagoje merged 2 commits into from
Dec 29, 2025
Merged

fix: Update google genai streaming test #2630

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
60d1dcf
Update google genai streaming test
vblagoje Dec 29, 2025
6637234
Merge branch 'main' into fix_google_gen_ai_streaming_test
vblagoje Dec 29, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 3 additions & 5 deletions integrations/google_genai/tests/test_chat_generator.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1300,17 +1300,14 @@ def test_aggregate_streaming_chunks_with_reasoning(monkeypatch):
chunk1.tool_calls = []
chunk1.meta = {"usage": {"prompt_tokens": 10, "completion_tokens": 5}}
chunk1.component_info = component_info
chunk1.reasoning = None

chunk2 = Mock()
chunk2.content = " world"
chunk2.tool_calls = []
chunk2.meta = {"usage": {"prompt_tokens": 10, "completion_tokens": 8}}
chunk2.component_info = component_info

# Mock the reasoning content that would be extracted
mock_reasoning = Mock()
mock_reasoning.reasoning_text = "I should greet the user politely"
mock_reasoning.reasoning_type = "REASONING_TYPE_UNSPECIFIED"
chunk2.reasoning = None

# Mock the final chunk with reasoning
final_chunk = Mock()
Expand All @@ -1321,6 +1318,7 @@ def test_aggregate_streaming_chunks_with_reasoning(monkeypatch):
"model": "gemini-2.5-pro",
}
final_chunk.component_info = component_info
final_chunk.reasoning = ReasoningContent(reasoning_text="I should greet the user politely")

# Add reasoning deltas to the final chunk meta (this is how the real method works)
final_chunk.meta["reasoning_deltas"] = [{"type": "reasoning", "content": "I should greet the user politely"}]
Expand Down
Loading