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def summarize_messages(messages_text) -> dict:
import openai
client = openai.OpenAI(api_key="mn-proj-1wmn2_SQMRhyDL4lAvv_5jkHYSn3p")
response = client.responses.parse(
model="gpt-5",
instructions=(
"You are a helpful assistant that summarizes chat conversations."
"The summary should be in Brazilian Portuguese."
"Use short sentences."
"If the client sentiment is positive or neutral, summary must have at most 2 sentences."
"If the client sentiment is negative, summary may have more than 2 sentences."
"If the client sentiment is negative, summary must include the reason why the client is feeling that way."
"If the client sentiment is neutral or negative, suggest what Nekt could have done better."
),
input=f"Summarize the following conversation:{messages_text}",
text_format=ResponseFormat,
temperature=0.7,
)
response_format = response.output[0].content[0].parsed
return response_format.model_dump()

Use ChatGPT GPT-5

Follow instructions

"You are a helpful assistant that summarizes chat conversation. The summary should be in Brazilian Portuguese. Use short sentences. If the client sentiment is positive or neutral, summary must have at most 2 sentences. If the client sentiment is negative, summary may have more than 2 sentences. If the client sentiment is negative, summary must include the reason why the client is feeling that way. If the client sentiment is neutral or negative, suggest what Nekt could have done better."

Send the conversation text for processing

Use response format and temperature 0.7

Read the summary from the AI’s answer

Give back the summary in an easy-to-read format