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add parameter mapping with vertex ai
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4 changed files with 30 additions and 2 deletions
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@ -521,6 +521,19 @@ response = await litellm.aimage_generation(
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)
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)
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```
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```
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**Generating multiple images**
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Use the `n` parameter to pass how many images you want generated
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```python
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response = await litellm.aimage_generation(
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prompt="An olympic size swimming pool",
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model="vertex_ai/imagegeneration@006",
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vertex_ai_project="adroit-crow-413218",
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vertex_ai_location="us-central1",
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n=1,
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)
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```
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## Extra
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## Extra
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### Using `GOOGLE_APPLICATION_CREDENTIALS`
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### Using `GOOGLE_APPLICATION_CREDENTIALS`
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@ -153,15 +153,21 @@ class VertexLLM(BaseLLM):
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{
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{
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"prompt": "a cat"
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"prompt": "a cat"
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}
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}
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]
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],
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"parameters": {
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"sampleCount": 1
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}
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} \
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} \
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"https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/imagegeneration:predict"
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"https://us-central1-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/us-central1/publishers/google/models/imagegeneration:predict"
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"""
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"""
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auth_header = self._ensure_access_token()
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auth_header = self._ensure_access_token()
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optional_params = optional_params or {
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"sampleCount": 1
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} # default optional params
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request_data = {
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request_data = {
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"instances": [{"prompt": prompt}],
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"instances": [{"prompt": prompt}],
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"parameters": {"sampleCount": 1},
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"parameters": optional_params,
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}
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}
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request_str = f"\n curl -X POST \\\n -H \"Authorization: Bearer {auth_header[:10] + 'XXXXXXXXXX'}\" \\\n -H \"Content-Type: application/json; charset=utf-8\" \\\n -d {request_data} \\\n \"{url}\""
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request_str = f"\n curl -X POST \\\n -H \"Authorization: Bearer {auth_header[:10] + 'XXXXXXXXXX'}\" \\\n -H \"Content-Type: application/json; charset=utf-8\" \\\n -d {request_data} \\\n \"{url}\""
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@ -184,6 +184,7 @@ async def test_aimage_generation_vertex_ai():
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model="vertex_ai/imagegeneration@006",
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model="vertex_ai/imagegeneration@006",
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vertex_ai_project="adroit-crow-413218",
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vertex_ai_project="adroit-crow-413218",
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vertex_ai_location="us-central1",
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vertex_ai_location="us-central1",
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n=1,
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)
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)
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assert response.data is not None
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assert response.data is not None
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assert len(response.data) > 0
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assert len(response.data) > 0
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@ -4946,6 +4946,14 @@ def get_optional_params_image_gen(
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width, height = size.split("x")
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width, height = size.split("x")
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optional_params["width"] = int(width)
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optional_params["width"] = int(width)
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optional_params["height"] = int(height)
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optional_params["height"] = int(height)
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elif custom_llm_provider == "vertex_ai":
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supported_params = ["n"]
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"""
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All params here: https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/imagegeneration?project=adroit-crow-413218
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"""
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_check_valid_arg(supported_params=supported_params)
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if n is not None:
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optional_params["sampleCount"] = int(n)
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for k in passed_params.keys():
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for k in passed_params.keys():
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if k not in default_params.keys():
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if k not in default_params.keys():
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