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8 changes: 8 additions & 0 deletions agentverse/llms/openai.py
Original file line number Diff line number Diff line change
Expand Up @@ -239,6 +239,8 @@ def generate_response(
functions=functions,
**self.args.dict(),
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")

logger.log_prompt(
[
Expand Down Expand Up @@ -281,6 +283,8 @@ def generate_response(
messages=messages,
**self.args.dict(),
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
logger.log_prompt(
[
{
Expand Down Expand Up @@ -335,6 +339,8 @@ async def agenerate_response(
functions=functions,
**self.args.dict(),
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
logger.log_prompt(
[
{
Expand Down Expand Up @@ -415,6 +421,8 @@ async def agenerate_response(
messages=messages,
**self.args.dict(),
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
self.collect_metrics(response)
logger.log_prompt(
[
Expand Down
7 changes: 5 additions & 2 deletions agentverse/memory/chat_history.py
Original file line number Diff line number Diff line change
Expand Up @@ -206,12 +206,15 @@ async def _update_summary_with_batch(
summary=self.summary, new_events=new_events_batch
)

self.summary = await openai_client.chat.completions.acreate(
_resp = await openai_client.chat.completions.acreate(
messages=[{"role": "user", "content": prompt}],
model=model,
max_tokens=max_summary_length,
temperature=0.5,
).choices[0].message.content
)
if not _resp.choices or _resp.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
self.summary = _resp.choices[0].message.content

def summary_message(self) -> dict:
return {
Expand Down
2 changes: 2 additions & 0 deletions scripts/evaluate_responsegen.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,8 @@ def write_eval_to_file(file, skip=0):
time.sleep(min(i**2, 60))
continue
break
if not eval_response.choices or eval_response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
text = eval_response.choices[0].message.content
eval.append(text)
text = text.replace("\n", "\n\n")
Expand Down