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test_langfuse_logging_completion_with_langfuse_metadata
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2 changed files with 133 additions and 0 deletions
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@ -0,0 +1,104 @@
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{
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"batch": [
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{
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"id": "872a0a1c-4328-431b-80b6-fd55a8a44477",
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"type": "trace-create",
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"body": {
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"id": "litellm-test-533ffb2d-a0a3-45b5-911c-7940466cdc8e",
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"timestamp": "2025-01-22T17:19:11.234960Z",
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"name": "test_trace_name",
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"userId": "test_user_id",
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"input": {
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"messages": [
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{
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"role": "user",
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"content": "Hello!"
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}
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]
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},
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"output": {
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"content": "Hello! How can I assist you today?",
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"role": "assistant",
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"tool_calls": null,
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"function_call": null
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},
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"sessionId": "test_session_id",
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"version": "test_trace_version",
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"metadata": {
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"test_key": "test_value"
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},
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"tags": [
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"test_tag",
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"test_tag_2"
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]
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},
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"timestamp": "2025-01-22T17:19:11.235169Z"
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},
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{
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"id": "18d6f044-e522-4376-96e0-7eec765677ed",
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"type": "generation-create",
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"body": {
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"traceId": "litellm-test-533ffb2d-a0a3-45b5-911c-7940466cdc8e",
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"name": "test_generation_name",
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"startTime": "2025-01-22T09:19:10.957072-08:00",
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"metadata": {
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"tags": [
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"test_tag",
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"test_tag_2"
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],
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"parent_observation_id": "test_parent_observation_id",
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"version": "test_version",
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"hidden_params": {
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"model_id": null,
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"cache_key": null,
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"api_base": "https://api.openai.com",
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"response_cost": 5.4999999999999995e-05,
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"additional_headers": {},
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"litellm_overhead_time_ms": null
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},
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"litellm_response_cost": 5.4999999999999995e-05,
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"cache_hit": false,
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"requester_metadata": {}
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},
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"input": {
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"messages": [
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{
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"role": "user",
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"content": "Hello!"
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}
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]
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},
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"output": {
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"content": "Hello! How can I assist you today?",
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"role": "assistant",
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"tool_calls": null,
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"function_call": null
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},
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"level": "DEFAULT",
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"parentObservationId": "test_parent_observation_id",
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"version": "test_version",
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"id": "time-09-19-10-957072_chatcmpl-4da65aba-32e4-400d-aaa2-6bfe096d8141",
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"endTime": "2025-01-22T09:19:11.234200-08:00",
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"completionStartTime": "2025-01-22T09:19:11.234200-08:00",
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"model": "gpt-3.5-turbo",
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"modelParameters": {
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"extra_body": "{}"
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},
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"usage": {
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"input": 10,
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"output": 20,
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"unit": "TOKENS",
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"totalCost": 5.4999999999999995e-05
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}
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},
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"timestamp": "2025-01-22T17:19:11.235541Z"
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}
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],
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"metadata": {
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"batch_size": 2,
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"sdk_integration": "litellm",
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"sdk_name": "python",
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"sdk_version": "2.44.1",
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"public_key": "pk-lf-e02aaea3-8668-4c9f-8c69-771a4ea1f5c9"
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}
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}
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@ -216,3 +216,32 @@ class TestLangfuseLogging:
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"completion_with_tags_stream.json",
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setup["trace_id"],
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)
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@pytest.mark.asyncio
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async def test_langfuse_logging_completion_with_langfuse_metadata(self, mock_setup):
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"""Test Langfuse logging for chat completion with metadata for langfuse"""
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setup = await mock_setup # Await the fixture
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with patch("httpx.Client.post", setup["mock_post"]):
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await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello!"}],
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mock_response="Hello! How can I assist you today?",
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metadata={
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"trace_id": setup["trace_id"],
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"tags": ["test_tag", "test_tag_2"],
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"generation_name": "test_generation_name",
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"parent_observation_id": "test_parent_observation_id",
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"version": "test_version",
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"trace_user_id": "test_user_id",
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"session_id": "test_session_id",
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"trace_name": "test_trace_name",
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"trace_metadata": {"test_key": "test_value"},
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"trace_version": "test_trace_version",
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"trace_release": "test_trace_release",
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},
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)
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await self._verify_langfuse_call(
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setup["mock_post"],
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"completion_with_langfuse_metadata.json",
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setup["trace_id"],
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)
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