def generate_with_claude(text, api_key, course_name="", section_name="", lesson_name=""):
    client = Anthropic(api_key=api_key)
    
    segment_analysis_schema = TextSegmentAnalysis.model_json_schema()
    
    tools = [
        {
            "name": "build_segment_analysis",
            "description": "Build the text segment analysis with quiz questions",
            "input_schema": segment_analysis_schema
        }
    ]
    
    system_prompt = """You are a helpful assistant specialized in text analysis and educational content creation. 
    You analyze texts to identify distinct segments, create summaries, and generate quiz questions."""
    
    prompt = f"""Analyze the following text and identify distinct segments within it and do text segmentation:
1. Segments should be STRICTLY max=15
2. For each segment/topic you identify:
   - Provide a SPECIFIC and UNIQUE topic name (3-5 words) that clearly differentiates it from other segments
   - List 3-5 key concepts discussed in that segment (be precise and avoid repetition between segments)
   - Write a brief summary of that segment (3-5 sentences)
   - Create 5 high-quality, meaningful quiz questions based DIRECTLY on the content in that segment only
   - Questions and answers should be only from the content of the segment

For each quiz question:
- Create cognitively demanding questions that test COMPREHENSION and ANALYSIS, not just recall
- Focus on CORE PRINCIPLES, key insights, and conceptual understanding
- Questions should require readers to think critically about the material
- AVOID superficial questions about statistics, numbers, or trivial details 
- AVOID questions about the document structure or presentation
- Create one correct answer that comes DIRECTLY from the text
- Create two plausible but incorrect answers that require discernment
- Ensure all answer options have similar length (± 2 words)
- Ensure the correct answer is clearly indicated with a ✓ symbol

IMPORTANT QUIZ QUESTION CRITERIA:
- Questions should assess understanding of fundamental concepts and principles
- Questions should require application of knowledge, not just memorization
- Questions should focus on important ideas that have educational value
- Questions should be meaningful in an educational context
- Questions should challenge the reader to think about implications and connections
- No need for questions on the introduction, conclusion or the demonstration from the context

    ADDITIONAL REQUIREMENT:
    - **First, detect the language of the original text.**
    - **Generate ALL output (topic names, key concepts, summaries, and quizzes) in the same language as the original text.**
    - If the text is in Russian, generate all responses in Russian.
    - If the text is in another language, generate responses in that original language.


Text:
{text}

Course information:
- Course name: {course_name}
- Section name: {section_name}
- Lesson name: {lesson_name}

- Do NOT repeat key concepts across multiple segments unless absolutely necessary.
- Ensure the quiz questions challenge the reader and are not easily guessable.
- FOCUS ON CONCEPTUAL UNDERSTANDING, not trivial facts or statistics.
"""

    try:
        response = client.messages.create(
            model="claude-3-5-sonnet-20241022",
            max_tokens=8192,
            temperature=0.7,
            system=system_prompt,
            messages=[
                {
                    "role": "user",
                    "content": prompt
                }
            ],
            tools=tools,
            tool_choice={"type": "tool", "name": "build_segment_analysis"}
        )
        
        # Extract the tool call content
        if response.content and len(response.content) > 0 and hasattr(response.content[0], 'input'):
            function_call = response.content[0].input
            return function_call
        else:
            raise Exception("No valid tool call found in the response")
    except Exception as e:
        raise Exception(f"Error calling Anthropic API: {str(e)}")