Create fresh mock objects within the test instead of reusing mocks
from setUp that have side_effect configured. The setUp's side_effect
on mock_langfuse_client.trace can interfere with return_value settings
when tests try to reset and reconfigure mocks.
Using dedicated mock objects for this test avoids state pollution
from setUp's side_effect configuration and makes the test more
deterministic in parallel execution environments.
Set cached tokenizer config directly and mock both sync and async
tokenizer functions to avoid race conditions when running with
parallel test execution (-n 16).
The issue was that parallel tests could populate the
litellm.known_tokenizer_config cache between clearing it and
when the code checked it. This caused the sync code path to be
used instead of the async path, bypassing the mocked async functions.
Fix:
1. Set cache directly instead of clearing it
2. Also mock sync versions _get_tokenizer_config and _get_chat_template_file
This ensures the test is deterministic regardless of test execution order.
Add Claude Opus 4.6 entries for Anthropic, Bedrock Converse, and Vertex AI.
Align pricing and capability metadata with Anthropic docs, including
long-context rates, above-200k prompt-caching rates, prefill removal,
and tool-use system prompt token counts.
Register the Bedrock Converse model ID in constants and add targeted
tests to validate model map values and converse registration.
The daily spend tables store dates in UTC, but the UI sends dates in the
user's local timezone. This causes a mismatch where records from the
user's evening (stored as the next UTC day) don't appear when filtering
by "today".
Changes:
- Add `_adjust_dates_for_timezone()` helper to expand date range based
on timezone offset
- Add `timezone` query parameter to `/user/daily/activity` and
`/user/daily/activity/aggregated` endpoints
- Frontend sends `timezone` using `Date.getTimezoneOffset()`
For users west of UTC (e.g., PST), end_date is extended by 1 day.
For users east of UTC (e.g., IST), start_date is extended by 1 day earlier.
This ensures all records within the user's local date range are captured.
The cast(Any, message) pattern was used to suppress typed-dict mutation
warnings, but the parameter has no type annotation so it's unnecessary.
Direct assignment works and eliminates the F401 unused-import lint error.
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* _translate_openai_content_to_anthropic
* test_response_format_consistency
* test fixes unit tests
* test fix
* fix: use dict access for anthropic content blocks in tests (#20447)
The translate_openai_response_to_anthropic method returns dicts, not objects.
Changed .type/.text/.thinking attribute access to dict ['key'] access.
---------
Co-authored-by: shin-bot-litellm <shin-bot-litellm@berri.ai>
* fix(a2a): use text/event-stream SSE format for message/stream endpoint
The A2A gateway's streaming response was using application/x-ndjson
Content-Type and raw NDJSON body format. The A2A protocol spec requires
text/event-stream with SSE framing (data: ...\n\n).
The official a2a-sdk client validates the Content-Type header and raises
SSEError when it doesn't contain text/event-stream.
Changes:
- Changed media_type from application/x-ndjson to text/event-stream
- Updated response body to use SSE framing (data: prefix + \n\n suffix)
- Added tests validating Content-Type and SSE body format
Fixes#20278
* Potential fix for code scanning alert no. 4045: Information exposure through an exception
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* test(a2a): add manual SSE format validation script
Adds a manual test script that:
1. Starts a real A2A agent on port 10001
2. Starts LiteLLM proxy with the agent registered
3. Makes a streaming request to the proxy's A2A gateway
4. Validates Content-Type header is text/event-stream
5. Validates body uses SSE framing (data: ...\n\n)
Run: python tests/a2a_manual/test_a2a_sse_manual.py
---------
Co-authored-by: shin-bot-litellm <shin-bot-litellm@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
