Made Gemini and Palm versions configurable

allms/domain/configuration.py

@@ -1,4 +1,7 @@
 from dataclasses import dataclass
+from typing import Optional
+
+from allms.defaults.vertex_ai import GeminiModelDefaults, PalmModelDefaults
 
 
 @dataclass
@@ -21,8 +24,21 @@ class AzureSelfDeployedConfiguration:
 class VertexAIConfiguration:
     cloud_project: str
     cloud_location: str
+    palm_model_name: Optional[str] = PalmModelDefaults.GCP_MODEL_NAME
+    gemini_model_name: Optional[str] = GeminiModelDefaults.GCP_MODEL_NAME
 
 
-@dataclass
 class VertexAIModelGardenConfiguration(VertexAIConfiguration):
-    endpoint_id: str
+    def __init__(
+        self,
+        cloud_project: str,
+        cloud_location: str,
+        endpoint_id: str
+    ):
+        super().__init__(
+            cloud_project=cloud_project,
+            cloud_location=cloud_location,
+            palm_model_name=None,
+            gemini_model_name=None
+        )
+        self.endpoint_id = endpoint_id

allms/models/vertexai_gemini.py

@@ -39,7 +39,7 @@ def __init__(
 
     def _create_llm(self) -> VertexAI:
         return CustomVertexAI(
-            model_name=GeminiModelDefaults.GCP_MODEL_NAME,
+            model_name=self._config.gemini_model_name,
             max_output_tokens=self._max_output_tokens,
             temperature=self._temperature,
             top_p=self._top_p,

allms/models/vertexai_palm.py

@@ -39,7 +39,7 @@ def __init__(
 
     def _create_llm(self) -> VertexAI:
         return CustomVertexAI(
-            model_name=PalmModelDefaults.GCP_MODEL_NAME,
+            model_name=self._config.palm_model_name,
             max_output_tokens=self._max_output_tokens,
             temperature=self._temperature,
             top_p=self._top_p,

docs/api/models/vertexai_gemini_model.md

@@ -57,12 +57,14 @@ is not provided, the length of this list is equal 1, and the first element is th
 ```python
 VertexAIConfiguration(
     cloud_project: str,
-    cloud_location: str
+    cloud_location: str,
+    gemini_model_name: str
 )
 ```
 #### Parameters
 - `cloud_project` (`str`): The GCP project to use when making Vertex API calls.
 - `cloud_location` (`str`): The region to use when making API calls.
+- `gemini_model_name` (`str`): The specific Gemini version you want to use. Default value: `gemini-pro` (i.e. Gemini 1.0).
 
 ---
 
@@ -74,7 +76,8 @@ from allms.domain.configuration import VertexAIConfiguration
 
 configuration = VertexAIConfiguration(
     cloud_project="<GCP_PROJECT_ID>",
-    cloud_location="<MODEL_REGION>"
+    cloud_location="<MODEL_REGION>",
+    gemini_model_name="<MODEL_NAME>"
 )
 
 vertex_model = VertexAIGeminiModel(config=configuration)

docs/api/models/vertexai_palm_model.md

@@ -63,6 +63,7 @@ VertexAIConfiguration(
 #### Parameters
 - `cloud_project` (`str`): The GCP project to use when making Vertex API calls.
 - `cloud_location` (`str`): The region to use when making API calls.
+- `palm_model_name` (`str`): The specific Palm version you want to use. Default value: `text-bison@001`.
 
 ---
 
@@ -74,7 +75,8 @@ from allms.domain.configuration import VertexAIConfiguration
 
 configuration = VertexAIConfiguration(
     cloud_project="<GCP_PROJECT_ID>",
-    cloud_location="<MODEL_REGION>"
+    cloud_location="<MODEL_REGION>",
+    palm_model_name="<MODEL_NAME>"
 )
 
 vertex_model = VertexAIPalmModel(config=configuration)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "allms"
-version = "1.0.3"
+version = "1.0.4"
 description = ""
 authors = ["Allegro Opensource <[email protected]>"]
 readme = "README.md"

tests/test_available_models_added_to_all.py

@@ -1,7 +1,3 @@
-# import html.entities
-# from unittest.mock import patch
-#
-# import pytest
 from allms import models
 
 

tests/test_end_to_end.py

@@ -4,7 +4,9 @@
 from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, PromptTemplate, SystemMessagePromptTemplate
 
 from allms.constants.input_data import IODataConstants
+from allms.domain.configuration import VertexAIConfiguration
 from allms.domain.prompt_dto import KeywordsOutputClass
+from allms.models.vertexai_gemini import VertexAIGeminiModel
 from allms.utils import io_utils
 from tests.conftest import AzureOpenAIEnv
 
@@ -146,6 +148,20 @@ def test_prompt_is_not_modified_for_open_source_models(self, mock_aioresponse, m
                     )
                 ])
 
+    def test_gemini_version_is_passed_to_model(self):
+        # GIVEN
+        model_config = VertexAIConfiguration(
+                cloud_project="dummy-project-id",
+                cloud_location="us-central1",
+                gemini_model_name="gemini-model-name"
+            )
+
+        # WHEN
+        gemini_model = VertexAIGeminiModel(config=model_config)
+
+        # WHEN
+        gemini_model._llm.model_name == "gemini-model-name"
+
     def test_model_times_out(
             self,
             mock_aioresponse,