feat: allow users to configure a base_url for the vectorizer OpenAI e…

…mbedder

docs/vectorizer-api-reference.md

@@ -298,6 +298,7 @@ The function takes several parameters to customize the OpenAI embedding configur
 | dimensions   | int  | -                | ✔        | Define the number of dimensions for the embedding vectors. This should match the output dimensions of the chosen model.                                                                                                                                                                   |
 | chat_user    | text | -                | ✖        | The identifier for the user making the API call. This can be useful for tracking API usage or for OpenAI's monitoring purposes.                                                                                                                                                           |
 | api_key_name | text | `OPENAI_API_KEY` | ✖        | Set [the name of the environment variable that contains the OpenAI API key][openai-use-env-var]. This allows for flexible API key management without hardcoding keys in the database. On Timescale Cloud, you should set this to the name of the secret that contains the OpenAI API key. |
+| base_url     | text | -                | ✖        | Set the base_url of the OpenAI API. Note: no default configured here to allow configuration of the vectorizer worker through `OPENAI_BASE_URL` env var.                                                                                                                                   | 
 #### Returns
 
 A JSON configuration object that you can use in [ai.create_vectorizer](#create-vectorizers).

projects/extension/sql/idempotent/008-embedding.sql

@@ -6,6 +6,7 @@ create or replace function ai.embedding_openai
 , dimensions pg_catalog.int4
 , chat_user pg_catalog.text default null
 , api_key_name pg_catalog.text default 'OPENAI_API_KEY'
+, base_url text default null
 ) returns pg_catalog.jsonb
 as $func$
     select json_object
@@ -15,6 +16,7 @@ as $func$
     , 'dimensions': dimensions
     , 'user': chat_user
     , 'api_key_name': api_key_name
+    , 'base_url': base_url
     absent on null
     )
 $func$ language sql immutable security invoker

projects/pgai/pgai/vectorizer/embedders/openai.py

@@ -11,6 +11,7 @@
 
 from ..embeddings import (
     ApiKeyMixin,
+    BaseURLMixin,
     BatchApiCaller,
     ChunkEmbeddingError,
     Embedder,
@@ -29,7 +30,7 @@
 )
 
 
-class OpenAI(ApiKeyMixin, BaseModel, Embedder):
+class OpenAI(ApiKeyMixin, BaseURLMixin, BaseModel, Embedder):
     """
     Embedder that uses OpenAI's API to embed documents into vector representations.
 
@@ -60,7 +61,9 @@ def _openai_user(self) -> str | openai.NotGiven:
 
     @cached_property
     def _embedder(self) -> resources.AsyncEmbeddings:
-        return openai.AsyncOpenAI(api_key=self._api_key, max_retries=3).embeddings
+        return openai.AsyncOpenAI(
+            base_url=self.base_url, api_key=self._api_key, max_retries=3
+        ).embeddings
 
     @override
     def _max_chunks_per_batch(self) -> int:

projects/pgai/pgai/vectorizer/embeddings.py

@@ -165,6 +165,26 @@ async def setup(self) -> None:  # noqa: B027 empty on purpose
         """
 
 
+class BaseURLMixin:
+    """
+    A mixin class that provides functionality for managing base URLs.
+
+    Attributes:
+        base_url (str | None): The base URL for the API.
+    """
+
+    base_url: str | None = None
+
+    def set_base_url(self, base_url: str | None):
+        """
+        Sets the base URL from the provided secrets.
+
+        Args:
+            base_url (str | None): The base URL to be set.
+        """
+        self.base_url = base_url
+
+
 class ApiKeyMixin:
     """
     A mixin class that provides functionality for managing API keys.

projects/pgai/tests/vectorizer/cassettes/openai-character_text_splitter-chunk_value-items=1-batch_size=1.yaml

@@ -229,4 +229,234 @@ interactions:
     status:
       code: 200
       message: OK
+- request:
+    body: '{"input": [[2252, 62, 16]], "model": "text-embedding-ada-002",
+    "encoding_format": "float"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '62'
+      content-type:
+      - application/json
+      host:
+      - example.com:8000
+      user-agent:
+      - AsyncOpenAI/Python 1.42.0
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - async:asyncio
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.42.0
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.4
+    method: POST
+    uri: http://example.com:8000/embeddings
+  response:
+    body:
+      string: !!binary |
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