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docs fix
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3 changed files with 9 additions and 9 deletions
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@ -135,7 +135,7 @@ Deploy Gemma models on custom Vertex AI prediction endpoints with OpenAI-compati
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model_list:
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- model_name: gemma-model
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litellm_params:
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model: vertex_ai/gemma/gemma-3-12b-it-1759525599171
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model: vertex_ai/gemma/gemma-3-12b-it-1222199011122
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api_base: https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict
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vertex_project: "my-project-id"
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vertex_location: "us-central1"
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@ -168,7 +168,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
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from litellm import completion
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response = completion(
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model="vertex_ai/gemma/gemma-3-12b-it-1759525599171",
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model="vertex_ai/gemma/gemma-3-12b-it-1222199011122",
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messages=[{"role": "user", "content": "What is machine learning?"}],
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api_base="https://ENDPOINT.us-central1-PROJECT.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
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vertex_project="my-project-id",
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@ -7,7 +7,7 @@ with @requestFormat: "chatCompletions" and returns responses wrapped in 'predict
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Usage:
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response = litellm.completion(
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model="vertex_ai/gemma/gemma-3-12b-it-1759525599171",
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model="vertex_ai/gemma/gemma-3-12b-it-1222199011122",
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messages=[{"role": "user", "content": "What is machine learning?"}],
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vertex_project="your-project-id",
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vertex_location="us-central1",
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@ -42,8 +42,8 @@ class TestVertexGemmaCompletion:
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Expected Vertex Response:
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{
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"deployedModelId": "1207280419999999999",
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"model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1759525599171",
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"modelDisplayName": "gemma-3-12b-it-1759525599171",
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"model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1222199011122",
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"modelDisplayName": "gemma-3-12b-it-1222199011122",
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"modelVersionId": "1",
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"predictions": {
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"choices": [
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@ -79,8 +79,8 @@ class TestVertexGemmaCompletion:
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# Real Vertex response from user's spec
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mock_vertex_response = {
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"deployedModelId": "1207280419999999999",
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"model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1759525599171",
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"modelDisplayName": "gemma-3-12b-it-1759525599171",
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"model": "projects/993702345710/locations/us-central1/models/gemma-3-12b-it-1222199011122",
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"modelDisplayName": "gemma-3-12b-it-1222199011122",
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"modelVersionId": "1",
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"predictions": {
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"choices": [
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@ -122,7 +122,7 @@ class TestVertexGemmaCompletion:
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# Call litellm.acompletion()
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response = await litellm.acompletion(
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model="vertex_ai/gemma/gemma-3-12b-it-1759525599171",
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model="vertex_ai/gemma/gemma-3-12b-it-1222199011122",
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messages=[{"role": "user", "content": "What is machine learning?"}],
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max_tokens=100,
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api_base="https://32277599999999999.us-central1-10582012152.prediction.vertexai.goog/v1/projects/PROJECT_ID/locations/us-central1/endpoints/ENDPOINT_ID:predict",
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@ -162,7 +162,7 @@ class TestVertexGemmaCompletion:
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assert response.object == "chat.completion"
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assert response.created == 1759863903
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# Model name has the gemma/ prefix stripped during processing
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assert response.model == "gemma-3-12b-it-1759525599171"
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assert response.model == "gemma-3-12b-it-1222199011122"
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# Validate choices
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assert len(response.choices) == 1
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