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add log10 tags of the completions into the output #267

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Aug 16, 2024
Merged

add log10 tags of the completions into the output #267

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11 changes: 9 additions & 2 deletions log10/cli/completions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,7 @@ def _render_completions_table(completions_data):

def _render_comparison_table(model_response_raw_data):
rich.print(f"completion_id: {model_response_raw_data['completion_id']}")
rich.print(f"tags: {model_response_raw_data['tags']}")
rich.print("original_request:")
rich.print_json(json.dumps(model_response_raw_data["original_request"], indent=4))

Expand All @@ -104,7 +105,7 @@ def _render_comparison_table(model_response_raw_data):

for model, data in model_response_raw_data.items():
# only display model data
if model not in ["completion_id", "original_request"]:
if model not in ["completion_id", "original_request", "tags"]:
usage = data["usage"]
formatted_usage = f"{usage['total_tokens']} ({usage['prompt_tokens']}/{usage['completion_tokens']})"
table.add_row(model, data["content"], formatted_usage, str(data["duration"]))
Expand All @@ -113,11 +114,12 @@ def _render_comparison_table(model_response_raw_data):

def _create_dataframe_from_comparison_data(model_response_raw_data):
completion_id = model_response_raw_data["completion_id"]
tags = model_response_raw_data["tags"]
original_request = model_response_raw_data["original_request"]
rows = []
for model, model_data in model_response_raw_data.items():
# only display model data
if model not in ["completion_id", "original_request"]:
if model not in ["completion_id", "original_request", "tags"]:
content = model_data["content"]
usage = model_data["usage"]
prompt_tokens = usage["prompt_tokens"]
Expand All @@ -128,6 +130,7 @@ def _create_dataframe_from_comparison_data(model_response_raw_data):
rows.append(
[
completion_id,
tags,
prompt_messages,
model,
content,
Expand All @@ -142,6 +145,7 @@ def _create_dataframe_from_comparison_data(model_response_raw_data):
rows,
columns=[
"completion_id",
"tags",
"prompt_messages",
"model",
"content",
Expand Down Expand Up @@ -394,6 +398,7 @@ def benchmark_models(
rich.print(f"Processing completion {id}")
# get message from id
completion_data = _get_completion(id).json()["data"]
tags = [t["name"] for t in completion_data["tagResolved"]]

# skip completion if status is not finished or kind is not chat
if completion_data["status"] != "finished" or completion_data["kind"] != "chat":
Expand All @@ -412,6 +417,7 @@ def benchmark_models(
"usage": original_model_response["usage"],
"duration": completion_data["duration"],
},
"tags": tags,
}
messages = original_model_request["messages"]
compare_models_data = _compare(compare_models, messages, temperature, max_tokens, top_p)
Expand All @@ -433,6 +439,7 @@ def benchmark_models(
all_df = pd.DataFrame(
columns=[
"completion_id",
"tags",
"prompt_messages",
"model",
"content",
Expand Down
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