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Ollama embeddings adapted to pydantic

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This commit is contained in:
henry 2025-06-04 17:06:38 +02:00
parent 3ddebefca2
commit cc12e9e1a3
2 changed files with 10 additions and 6 deletions
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5
backend/open_webui/utils/embeddings.py
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@ -10,8 +10,10 @@ from open_webui.env import SRC_LOG_LEVELS, GLOBAL_LOG_LEVEL, BYPASS_MODEL_ACCESS
from open_webui.routers.openai import embeddings as openai_embeddings
from open_webui.routers.ollama import embeddings as ollama_embeddings
from open_webui.routers.ollama import GenerateEmbeddingsForm
from open_webui.routers.pipelines import process_pipeline_inlet_filter
from open_webui.utils.payload import convert_embedding_payload_openai_to_ollama
from open_webui.utils.response import convert_response_ollama_to_openai
@ -109,9 +111,10 @@ async def generate_embeddings(
# Ollama backend
if model.get("owned_by") == "ollama":
ollama_payload = convert_embedding_payload_openai_to_ollama(form_data)
form_obj = GenerateEmbeddingsForm(**ollama_payload)
response = await ollama_embeddings(
request=request,
form_data=ollama_payload,
form_data=form_obj,
user=user,
)
return convert_response_ollama_to_openai(response)

11
backend/open_webui/utils/payload.py
View File

@ -336,24 +336,25 @@ def convert_embedding_payload_openai_to_ollama(openai_payload: dict) -> dict:
Convert an embeddings request payload from OpenAI format to Ollama format.
Args:
openai_payload (dict): The original payload designed for OpenAI API usage.
Example: {"model": "...", "input": [str, ...] or str}
openai_payload (dict): The original payload designed for OpenAI API usage.
Returns:
dict: A payload compatible with the Ollama API embeddings endpoint.
Example: {"model": "...", "input": [str, ...]}
"""
ollama_payload = {
"model": openai_payload.get("model")
}
input_value = openai_payload.get("input")
# Ollama expects 'input' as a list. If it's a string, wrap it in a list.
# Ollama expects 'input' as a list, and 'prompt' as a single string.
if isinstance(input_value, list):
ollama_payload["input"] = input_value
ollama_payload["prompt"] = "\n".join(str(x) for x in input_value)
else:
ollama_payload["input"] = [input_value]
ollama_payload["prompt"] = str(input_value)
# Optionally forward 'options', 'truncate', 'keep_alive' if present in OpenAI request
# Optionally forward other fields if present
for optional_key in ("options", "truncate", "keep_alive"):
if optional_key in openai_payload:
ollama_payload[optional_key] = openai_payload[optional_key]