PromptLayer is a prompt management and observability platform designed for teams and developers building applications with large language models (LLMs) such as OpenAI's GPT. Unlike basic prompt generators, PromptLayer focuses on tracking, versioning, and analyzing prompts used in production systems. It acts as a middleware layer between your code and the LLM API, enabling prompt-level observability for debugging, optimization, and collaboration.

Built for AI engineers, data scientists, ML researchers, and product teams developing with LLMs, PromptLayer is particularly valuable for managing complex prompt pipelines, comparing performance across versions, and maintaining prompt consistency at scale.

What are the main features of PromptLayer?

Prompt logging and version tracking

PromptLayer automatically logs every prompt sent to an LLM via its API wrapper.

• Captures prompt input, LLM response, and metadata (e.g., model version, timestamp).

• Enables tracking changes to prompts over time with version history.

• Useful for auditing, debugging, and reproducing results.

Search and filter through prompt history

Users can explore past prompts with advanced query tools.

• Filter by prompt content, tags, outcome, or user.

• See how specific prompts performed over time or across changes.

• Identify performance regressions or unexpected behavior.

Prompt comparison and performance monitoring

Compare different versions of a prompt and their impact on output quality.

• Run side-by-side comparisons to evaluate prompt changes.

• Connect outputs with metrics like token usage, latency, or success rate.

• Supports data-informed prompt optimization in iterative workflows.

Collaboration and team visibility

Designed for use in multi-user environments and team-based LLM development.

• Share prompts, notes, and results across your team.

• Role-based access controls for secure collaboration.

• Centralized history improves knowledge sharing and reuse.

API and SDK integration

PromptLayer provides tools to integrate seamlessly with development environments.

• Works as a wrapper around OpenAI’s Python SDK (openai library).

• Minimal code changes required to enable logging and versioning.

• Includes REST API for broader integration into pipelines and dashboards.

Why choose PromptLayer?

• Prompt-level observability: Gain visibility into what prompts are used, when, and with what results.

• Reliable version control: Manage evolving prompts like code, with full history and rollback capability.

• Designed for LLM developers: Optimized for real-world applications using GPT or similar models.

• Collaboration-ready: Built-in tools for teams working together on AI prompt development.

• Integrates easily with existing tools: Simple integration via SDK or API for rapid adoption.