This template enables you to upload documents, generate summaries, automatically optimize prompts, and evaluate the best-performing versions, all within one seamless LLM Controls workflow.
Prerequisites
- An OpenAI API Key
- A structured document (PDF) for upload
- Basic familiarity with LLM Controls Flows
Create the Advanced Summarization Flow
1. Upload a File
From the File component:- Upload your document (PDF format supported)
- This component outputs both raw and parsed data
- Output is automatically passed to the Parser component
2. Parse the Document
The Parser component converts uploaded content into plain text.- Mode: Parser
- Template: Define how content is extracted (e.g., Text: text)
This ensures your data is clean and ready for prompting
3. Optimize the Summarization Prompt
Use the Prompt Optimizer Flow to automatically refine your prompt.- Input a summarization task, such as:
“Summarize uploaded documents into concise, professional summaries.” - The optimizer generates multiple prompt variations, test cases, and evaluation metrics.
- Outputs include ranked prompts based on clarity, effectiveness, and consistency.
4. Execute with LLMC Executor
The LLMC Executor allows you to run the best-performing prompts with a chosen AI model.
- Model Selection: Choose from GPT models (e.g., gpt-4o)
- Prompt Selection: Pick from optimized prompts generated earlier
- API Key: Enter your valid OpenAI key in the custom_api_key field
5. View the Summary Output
The Summary Output component displays the final, aggregated summary in a clean text format.You can review, copy, or export it directly from the Playground.
Modify or Extend
- To change the summarization style, open the Prompt template and adjust the tone or persona (e.g., “Write an executive summary” or “Summarize in bullet points”).
- You can chain additional evaluation nodes for advanced comparison of results.
- Use the Results leaderboard in the optimizer to monitor which prompt performs best.
Configuration Checklist
| Setting | Description |
|---|---|
| OpenAI API Key | Required to connect to GPT models |
| File Upload | Input document (PDF) |
| Parser Template | Controls how text is extracted |
| Prompt Optimizer Flow | Generates, evaluates, and ranks prompt variations |
| LLMC Executor | Runs prompts with the chosen model |
| Summary Output | Displays the final summarized result |
Use Cases
- Generate executive summaries from lengthy reports
- Compare and benchmark multiple summarization prompts
- Automate evaluation of summarization quality
- Build adaptive summarization pipelines for research or business data
Built With
- LLM Controls Framework
- Prompt Optimizer Flow
- LLMC Executor
- OpenAI GPT Models