Support separate embedding base URL

This commit is contained in:
Dustin Persek 2026-07-05 22:33:09 -04:00
parent aa7388f2f7
commit 6fafedca6a
8 changed files with 160 additions and 6 deletions

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@ -214,6 +214,10 @@ COMPOSIO_REDIRECT_URI=http://localhost:8000/api/v1/auth/composio/connector/callb
# # Get Cohere embeddings
# embeddings = AutoEmbeddings.get_embeddings("cohere://embed-english-light-v3.0", api_key="...")
EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# Optional: use a separate endpoint for Chonkie/LiteLLM embedding models, for
# example EMBEDDING_MODEL=litellm://ollama/nomic-embed-text.
# EMBEDDING_BASE_URL=http://host.docker.internal:11434
# OLLAMA_EMBEDDING_BASE_URL=http://host.docker.internal:11434
# Rerankers Config
RERANKERS_ENABLED=TRUE or FALSE(Default: FALSE)

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@ -9,6 +9,11 @@ from chonkie import AutoEmbeddings, CodeChunker, RecursiveChunker
from dotenv import load_dotenv
from rerankers import Reranker
from app.config.embedding_settings import (
build_embedding_kwargs,
resolve_embedding_base_url,
)
# Get the base directory of the project
BASE_DIR = Path(__file__).resolve().parent.parent.parent
@ -876,16 +881,13 @@ class Config:
# Chonkie Configuration | Edit this to your needs
EMBEDDING_MODEL = os.getenv("EMBEDDING_MODEL")
EMBEDDING_BASE_URL = resolve_embedding_base_url()
# Azure OpenAI credentials from environment variables
AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_ENDPOINT")
AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY")
# Pass Azure credentials to embeddings when using Azure OpenAI
embedding_kwargs = {}
if AZURE_OPENAI_ENDPOINT:
embedding_kwargs["azure_endpoint"] = AZURE_OPENAI_ENDPOINT
if AZURE_OPENAI_API_KEY:
embedding_kwargs["azure_api_key"] = AZURE_OPENAI_API_KEY
# Pass provider-specific settings to embeddings when supported.
embedding_kwargs = build_embedding_kwargs(embedding_model=EMBEDDING_MODEL)
embedding_model_instance = AutoEmbeddings.get_embeddings(
EMBEDDING_MODEL,

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@ -0,0 +1,48 @@
import os
from collections.abc import Mapping
EMBEDDING_BASE_URL_ENV = "EMBEDDING_BASE_URL"
OLLAMA_EMBEDDING_BASE_URL_ENV = "OLLAMA_EMBEDDING_BASE_URL"
def _clean_env_value(value: str | None) -> str | None:
if value is None:
return None
stripped = value.strip()
return stripped or None
def resolve_embedding_base_url(environ: Mapping[str, str] | None = None) -> str | None:
"""Return the configured embedding endpoint, if any."""
environ = os.environ if environ is None else environ
return _clean_env_value(environ.get(EMBEDDING_BASE_URL_ENV)) or _clean_env_value(
environ.get(OLLAMA_EMBEDDING_BASE_URL_ENV)
)
def _supports_embedding_api_base(embedding_model: str | None) -> bool:
return (embedding_model or "").startswith("litellm://")
def build_embedding_kwargs(
environ: Mapping[str, str] | None = None,
*,
embedding_model: str | None = None,
) -> dict[str, str]:
"""Build keyword arguments for Chonkie's embedding provider."""
environ = os.environ if environ is None else environ
embedding_kwargs: dict[str, str] = {}
embedding_base_url = resolve_embedding_base_url(environ)
if embedding_base_url and _supports_embedding_api_base(embedding_model):
embedding_kwargs["api_base"] = embedding_base_url
azure_openai_endpoint = _clean_env_value(environ.get("AZURE_OPENAI_ENDPOINT"))
azure_openai_api_key = _clean_env_value(environ.get("AZURE_OPENAI_API_KEY"))
if azure_openai_endpoint:
embedding_kwargs["azure_endpoint"] = azure_openai_endpoint
if azure_openai_api_key:
embedding_kwargs["azure_api_key"] = azure_openai_api_key
return embedding_kwargs

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@ -0,0 +1,76 @@
import pytest
from app.config.embedding_settings import (
build_embedding_kwargs,
resolve_embedding_base_url,
)
pytestmark = pytest.mark.unit
def test_resolve_embedding_base_url_prefers_generic_value() -> None:
environ = {
"EMBEDDING_BASE_URL": " http://embed-host:11434 ",
"OLLAMA_EMBEDDING_BASE_URL": "http://ollama-embed:11434",
}
assert resolve_embedding_base_url(environ) == "http://embed-host:11434"
def test_resolve_embedding_base_url_falls_back_to_ollama_specific_value() -> None:
environ = {
"EMBEDDING_BASE_URL": " ",
"OLLAMA_EMBEDDING_BASE_URL": "http://ollama-embed:11434",
}
assert resolve_embedding_base_url(environ) == "http://ollama-embed:11434"
def test_build_embedding_kwargs_maps_base_url_to_litellm_api_base() -> None:
kwargs = build_embedding_kwargs(
{"EMBEDDING_BASE_URL": "http://host.docker.internal:11435"},
embedding_model="litellm://ollama/nomic-embed-text",
)
assert kwargs == {"api_base": "http://host.docker.internal:11435"}
def test_build_embedding_kwargs_does_not_leak_api_base_to_other_providers() -> None:
kwargs = build_embedding_kwargs(
{"EMBEDDING_BASE_URL": "http://host.docker.internal:11435"},
embedding_model="cohere://embed-english-light-v3.0",
)
assert kwargs == {}
def test_build_embedding_kwargs_preserves_azure_settings() -> None:
kwargs = build_embedding_kwargs(
{
"AZURE_OPENAI_ENDPOINT": "https://example.openai.azure.com",
"AZURE_OPENAI_API_KEY": "test-key",
},
embedding_model="azure_openai://text-embedding-3-small",
)
assert kwargs == {
"azure_endpoint": "https://example.openai.azure.com",
"azure_api_key": "test-key",
}
def test_build_embedding_kwargs_combines_litellm_and_azure_env_when_set() -> None:
kwargs = build_embedding_kwargs(
{
"EMBEDDING_BASE_URL": "http://host.docker.internal:4000/v1",
"AZURE_OPENAI_ENDPOINT": "https://example.openai.azure.com",
"AZURE_OPENAI_API_KEY": "test-key",
},
embedding_model="litellm://openai/text-embedding-3-small",
)
assert kwargs == {
"api_base": "http://host.docker.internal:4000/v1",
"azure_endpoint": "https://example.openai.azure.com",
"azure_api_key": "test-key",
}