Utilize Anthropic to perform AI-driven task such as text generation, summarization, translation, and more.
External Documentation
To learn more, visit the Anthropic documentation.
Parameter | Description |
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Model | The LLM model used to complete the AI task. |
System Instructions | Define guidelines for system behavior, user interactions, and constraints. You can include sections such as: * Role * Instructions * Rules * Examples For example: You are an AI assistant designed to help users by providing accurate, relevant, and helpful responses. Maintain a neutral and professional tone, be concise yet informative, and always strive to be clear and understandable. |
User Prompt | The message containing your prompt request, which the LLM model will interpret to generate a response. |
Parameter | Description |
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Maximum Tokens | The maximum number of tokens needed to generate a response. Set the token limit based on your needs: 1. Short & Concise Answers (256–1,000 tokens) - Ideal for brief responses, summaries, or direct answers. 2. Detailed & Elaborate Responses (1,000–8,000 tokens) - Best for in-depth explanations, multi-step reasoning, or complex insights. 3. Data Processing & Transformations (2,000–10,000+ tokens) - Use higher limits for handling structured data (e.g., JSON, CSV) or processing large text inputs. Note: For optimal performance, start with a lower limit and increase as needed. If not provided, the selected model default value is used. |
Temperature | The randomness of the output. Lower values produce more focused and deterministic outputs, while higher values increase creativity and variation. Valid values range between 0.0 and 1.0 . |
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