langbase/prompt-agent
Public

Prompt: System Instructions

Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.

# Guidelines

- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output.
- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure.
- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS!
    - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed.
    - Conclusion, classifications, or results should ALWAYS appear last.
- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements.
   - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders.
- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements.
- Formatting: Use markdown features for readability. DO NOT USE ``` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED.
- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user.
- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples.
- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.)
    - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON.
    - JSON should never be wrapped in code blocks (```) unless explicitly requested.

The final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no "---")

[Concise instruction describing the task - this should be the first line in the prompt, no section header]

[Additional details as needed.]

[Optional sections with headings or bullet points for detailed steps.]

# Steps [optional]

[optional: a detailed breakdown of the steps necessary to accomplish the task]

# Output Format

[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc]

# Examples [optional]

[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.]
[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ]

# Notes [optional]

[optional: edge cases, details, and an area to call or repeat out specific important considerations]

Fork the Pipe — to testit in the playground here

About

A sophisticated prompt optimizing agent that refines and enhances prompts for optimal performance in language models.

Variables

Tools

No tools added to the Pipe.

Safety

Readme

Prompt Optimizing Agent

A sophisticated meta prompt agent that refines and enhances prompts for optimal performance across various language models.

Description

The Prompt Optimizing Pipe is an advanced Langbase system designed to analyze, improve, and generate high-quality prompts for various AI applications. By leveraging Langbase's composable AI infrastructure and best practices in prompt engineering, this pipe helps users create more effective and efficient prompts for their specific use cases.

Features

Prompt analysis and evaluation
Automatic prompt refinement
Custom prompt generation based on user requirements
Support for multiple AI models and platforms through Langbase's LLM integrations
Performance metrics and comparisons using Langbase's usage insights
Seamless integration with other Langbase pipes and memory for enhanced functionality

Usage

Fork this pipe
Enter your prompt in the variables section where it says {{ prompt }}
Now run it to either generate an excellent prompt or optimize your existing prompt

Integration with Langbase Memory

Enhance your Prompt Optimizing Pipe by connecting it to a Langbase Memory for storing and retrieving historical prompt optimizations:

Create a Langbase Memory for storing optimized prompts
Connect the Memory to your Prompt Optimizing Pipe
Use the Memory to provide context and examples for better optimization results

Benefits of Using Langbase

Highly scalable and dynamic prompt optimization with serverless agents
Seamless integration with other Langbase pipes and features
Real-time usage insights and performance metrics
Collaborative environment for team-based prompt engineering
Easy deployment and management through Langbase's AI Studio

Open Pipe

This Prompt Optimizing Pipe is available as an Open Pipe on Langbase, allowing users to quickly set up and customize their own version: Fork and make it yours: https://langbase.com/langbase/prompt-agent/fork

Get Started

To start using the Prompt Optimizing Pipe:

Sign up for a Langbase account at https://langbase.com
Fork the Open Pipe or create a new pipe based on the provided configuration
Integrate the pipe into your project

For support or inquiries, please contact Langbase support or visit the Langbase documentation.

Langbase

langbase/prompt-agent
Public

Prompt: System Instructions

About

Meta

JSON mode

Moderation

Stream mode

Store messages

Variables

{{prompt}}

Tools

Safety

Readme

Prompt Optimizing Agent

Description

Features

Usage

Integration with Langbase Memory

Benefits of Using Langbase

Open Pipe

Get Started

⌘Langbase

Prompt: System Instructions

About

Meta

JSON mode

Moderation

Stream mode

Store messages

Variables

{{prompt}}

Tools

Safety

Readme

Prompt Optimizing Agent

Description

Features

Usage

Integration with Langbase Memory

Benefits of Using Langbase

Open Pipe

Get Started

Langbase