Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

prompty: adds embeddings api support #3824

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

prompty: adds embeddings api support #3824

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion src/promptflow-core/promptflow/core/_prompty_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -134,7 +134,7 @@ def convert_model_configuration_to_connection(model_configuration):
def convert_prompt_template(template, inputs, api):
prompt = preprocess_template_string(template)

if api == "completion":
if api in ["completion", "embedding"]:
rendered_prompt = render_jinja_template_content(
template_content=prompt, trim_blocks=True, keep_trailing_newline=True, **inputs
)
Expand All @@ -152,6 +152,8 @@ def prepare_open_ai_request_params(model_config, template, connection):

if model_config.api == "completion":
params["prompt"] = template
elif model_config.api == "embedding":
params["input"] = template
else:
params["messages"] = template

Expand Down Expand Up @@ -196,6 +198,8 @@ def get_open_ai_client_by_connection(connection, is_async=False):
def send_request_to_llm(client, api, parameters, timeout):
if api == "completion":
result = client.with_options(timeout=timeout).completions.create(**parameters)
elif api == "embedding":
result = client.with_options(timeout=timeout).embeddings.create(**parameters)
else:
result = client.with_options(timeout=timeout).chat.completions.create(**parameters)
return result
Expand Down Expand Up @@ -275,6 +279,8 @@ def format_stream(llm_response):
return format_choice(content)
if api == "completion":
result = format_choice(response.choices[0].text)
if api == "embedding":
return response.data[0].embedding if response.data else []
else:
# When calling function/tool, function_call/tool_call response will be returned as a field in message,
# so we need return message directly. Otherwise, we only return content.
Expand Down
Loading