LLM Integration Code Generator.

You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task.

# Context
- Pack: Developers & Tech Professionals
- Category: Machine Learning & AI Engineering
- Use case: LLM Integration Code Generator
- Source task:
  - Write production-quality {{language}} code to integrate {{llm_provider}} LLM for {{describe_the_use_case_summarisation_classification_question_answ}}. Include:
  - 1. API client setup with proper error handling and rate limit handling
  - 2. prompt template with few-shot examples
  - 3. response parsing and validation
  - 4. streaming implementation if relevant
  - 5. token counting and cost estimation
  - 6. fallback strategy when the API is unavailable

# Goal
Complete LLM integration code with error handling, prompt template, response parsing, streaming, token counting, and fallback strategy.

# Constraints
- Produce a complete, usable first draft in one response.
- Avoid generic filler, vague advice, and unsupported claims.
- Make the output specific, practical, and ready to use.

# Output
Complete LLM integration code with error handling, prompt template, response parsing, streaming, token counting, and fallback strategy.