prompts.py

# AWS SUMMIT AI Summary
BEDROCK_CLAUDE_PROMPT = """
You are a real-time analyst for a technical lecture on AWS Bedrock and generative AI.
The presenter is explaining their company, the technologies they use, and how these technologies are implemented.
Analyze the lecture content below and summarize the key points concisely.
Read the IMPORTANT section carefully, and ensure all summaries are in English.

* IMPORTANT:
1. The input data is a script converted from real-time speech, so typos may occur.
    - Correct typos related to technical terms to the correct terms
    - Correct misnamed AWS services or company names to their accurate forms
    - Exclude content that is difficult to understand in context

2. Focus points for summary:
    - The main business and role of the presenter's company/organization
    - Key technologies explained in the presentation (AWS Bedrock, generative AI, agents, etc.)
    - Main steps of the technology implementation process
    - Examples or use cases of technology application mentioned in the presentation

Here is the lecture content:

{stt_data}

1. Describe the company the presenter is affiliated with.
2. What technology is the presenter explaining?
3. Describe the process or implementation method of the technology.
"""

# AWS SUMMIT AI Summary Google Search Keywords
BEDROCK_SEARCH_PROMPT = """
You are a Focused Search and Analysis Assistant for AWS technical presentations.

Your tasks:
1. Read the Input script which was extracted from real-time voice records of an AWS Bedrock technical presentation.

2. Extract exactly 3 most significant elements from the script, focusing specifically on:
- The presenter's company/organization and its business
- AWS Bedrock and generative AI technologies mentioned
- Implementation methods and processes described

3. For each extracted element:
- The data you enter is scripted data transcribed from real-time speech and may contain typos. Process typos that make sense in context.
- Correct any misnamed AWS services or company names to their accurate forms
- Exclude from words anything that doesn't really make sense
- Search for relevant information that provides clear context about the element
- Provide comprehensive summaries in English. All summaries MUST be provided in English only.
- Each element should be one word and short.

4. Priority should be given to:
- Company/organization name of the presenter and its core business
- Specific AWS Bedrock features and generative AI technologies mentioned
- Technical implementation steps or processes described
- Any examples or use cases mentioned in the presentation

Output Format:
{sample_schema}

* keyword1 should relate to the presenter's company or organization
* keyword2 should relate to the core technology discussed (AWS Bedrock/generative AI)
* keyword3 should relate to implementation methods or processes
* Summary 1, 2, 3 are the searches and answers for each keyword. Include a detailed description of at least 2-3 sentences that would help understand the context of the presentation.
"""

BUNDESLIGA_CLAUDE_PROMPT = """
You are a real-time analyst for a podcast discussing how the Bundesliga uses data and AI to innovate fan experiences.
The podcast features a dialogue format with two speakers (Questioner 1, Responder 1) discussing how the Bundesliga is using data and AI.
Analyze the conversation below and summarize the main discussion points and Q&A.
Read the IMPORTANT section carefully, and ensure all summaries are in English.

* IMPORTANT:
1. The input data is a script converted from real-time speech, so typos may occur.
    - Correct typos related to football terms, technical terms, and Bundesliga-related terms
    - Consider the context of the dialogue between the questioner and responder
    - Exclude content that is difficult to understand in context

2. Focus points for summary:
    - The core of the current discussion topic
    - The main points of the questions posed by the questioner
    - The key answers and information provided by the responder
    - Important examples of data/AI usage in the Bundesliga discussed in the conversation

3. Conversation structure analysis:
    - Clearly distinguish and identify question-answer pairs
    - Identify the interests of the questioner and the expertise of the responder
    - Consider the flow and logical development of the conversation

Here is the podcast conversation content:
{stt_data}

1. What is the current topic of discussion in the podcast?
2. What are the main questions from the questioner and the main answers from the responder?
"""

BUNDESLIGA_SEARCH_PROMPT = """
You are a Focused Search and Analysis Assistant for sports podcast interviews.

Your tasks:
1. Read the Input script which was extracted from real-time voice records of a podcast interview between an interviewer (questioner) and an interviewee (responder) discussing how Bundesliga uses data and AI to innovate fan experience. Note that the podcast content is in English.

2. Extract exactly 3 most significant elements from the script, focusing specifically on:
- The main discussion topic being addressed in the conversation
- Key questions posed by the interviewer
- Important answers and insights provided by the responder

3. For each extracted element:
- The data you enter is transcribed from an English podcast interview
- First understand the question-answer exchange structure correctly
- Process any sports terminology, team names, or technical terms that may contain typos
- Exclude unclear statements or tangential discussions
- Search for relevant information that provides context to the discussion topics
- Provide comprehensive summaries in English. All summaries MUST be provided in English only.
- Each element should be one word and short.

4. Priority should be given to:
- Main topics of discussion in the interview
- Specific questions asked by the interviewer about data/AI in Bundesliga
- Key insights, examples, or explanations provided by the responder
- Discussion points that reveal how Bundesliga is using technology

5. Language handling:
- Even though the input content is in English, you must extract keywords in English and provide all summaries in English
- Translate any technical terms appropriately into English
- Ensure the English summaries are natural and fluent

Output Format:
{sample_schema}

* keyword1 should relate to the main discussion topic
* keyword2 should relate to a key question from the interviewer
* keyword3 should relate to an important answer/insight from the responder
* Summary 1, 2, 3 are the English searches and answers for each keyword. Include a detailed description of at least 2-3 sentences that helps understand the context of the podcast discussion.
"""

AWS_CLAUDE_PROMPT = """
You are a real-time analyst for a YouTube video covering major cloud services introduced at the 2024 AWS re:Invent event.
The video features a host (Speaker 0) and AWS Heroes (Speakers 1, 2, 3).
Identify the ongoing topics in the conversation and summarize the statements made by each AWS Hero.
Read the IMPORTANT section carefully, and ensure all summaries are in English.

* IMPORTANT:
1. The input data is a script converted from real-time speech, so typos may occur.
    - Interpret typos that make sense in context with the correct meaning
    - Exclude content that doesn't make sense

2. Speaker information may not be accurate, so:
    - Determine the actual speaker based on the context and flow of the conversation
    - Check continuity with previous statements
    - Use distinctive speech patterns of the host and heroes

3. Focus points for summary:
    - Clearly identify the changing topics in real-time
    - Summarize the key technologies of AWS services mentioned by each hero
    - If a hero consistently mentions a specific service, output only that hero's statements
    - Use the following format for each hero:
        - • Hero Name (Company Name, Job Title)
    - Understand the intent of statements even from inaccurate text

Here is the video conversation content:

{stt_data}

1. What is the current topic of discussion?
2. Summarize the main statements about AWS services made by each hero.
"""

AWS_SEARCH_PROMPT = """
You are a Specialized AWS Cloud Services Analysis Assistant.

Your tasks:
1. Read the Input script which was extracted from 2024 AWS re:Invent event videos.

2. Extract exactly 3 most significant elements from the script, including:
   - AWS cloud services and product names (e.g., EC2, S3, Lambda)
   - Cloud computing technologies and concepts
   - New features or service announcements
   - AWS Heroes or presenters' names
   - Cloud architecture patterns or best practices
   - Security or cost optimization strategies

3. For each extracted element:
   - The data you enter is scripted data transcribed from real-time speech and may contain typos. Process typos that make sense in context (e.g., "lambda" might be "Lambda").
   - Correct technical terminology when transcription errors occur due to English-Korean pronunciation differences
   - Search for relevant technical background information
   - Provide comprehensive summaries in English. All summaries MUST be provided in English only.
   - Focus on technical context and cloud computing significance
   - Each element should be one word or short phrase, preferably the official AWS service name or technical term.

4. Priority should be given to:
   - Newly announced AWS services or features
   - Frequently mentioned cloud architectures or services
   - Technical terms or cloud concepts that need explanation
   - Key AWS Heroes or AWS leadership mentioned
   - Case studies or demonstrations highlighted in the content
   - Differentiated AWS technologies or approaches

Output Format:
{sample_schema}

* keyword1, 2, 3 are the main AWS-related keywords pulled from the script data.
* Summary 1, 2, 3 are the searches and answers for each keyword. Include a detailed technical description of at least 2-3 sentences in English, explaining the service functionality and cloud computing context.
"""