{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"PromptLayer is a Python SDK for managing, testing, and monitoring LLM prompts and agent requests with built-in tracing, template retrieval, and provider proxy support.","skillfed_tags":["llm-observability","prompt-management","opentelemetry"],"use_cases":["Retrieve and version-control prompt templates from PromptLayer for use in production applications.","Auto-instrument OpenAI or Anthropic SDK calls to log and monitor all LLM requests without modifying provider client code.","Export OpenTelemetry spans from your own functions and LLM provider calls to PromptLayer for centralized tracing and debugging.","Test and evaluate prompt variations using PromptLayer's evals and regression sets via the SDK.","Organize and annotate LLM requests with metadata, scores, and group associations for analysis and monitoring.","Set up coding agents (Cursor, Claude Code) with PromptLayer docs and evaluation skills via the setup command."],"what_it_does":"PromptLayer is a Python SDK that connects your application to the PromptLayer platform for prompt engineering, versioning, and LLM observability. It provides a client interface to retrieve and manage prompt templates, log LLM requests, and optionally auto-instrument OpenAI, Anthropic, Google GenAI, and AWS Bedrock SDKs with OpenTelemetry tracing. Both sync and async APIs are available.\n\nThe package acts as a proxy around supported provider SDKs, allowing you to send requests through PromptLayer for logging and monitoring without rewriting your code. It includes utilities for template caching, request annotation, group organization, and skill management. When tracing is enabled, spans are exported to PromptLayer using OpenTelemetry, providing visibility into prompt execution and LLM provider calls across your application.","worth_installing":"Yes, if you use LLMs in production and want centralized prompt management, request logging, and observability. The SDK is actively maintained, has low install friction, and integrates cleanly with major LLM providers via proxy or OpenTelemetry instrumentation. Requires a PromptLayer account and API key. No known vulnerabilities."},"id":"promptlayer","links":{"html":"https://skillfed.io/packages/promptlayer","md":"https://skillfed.io/packages/promptlayer.md","pypi":"https://pypi.org/project/promptlayer/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"promptlayer","python_support":"supports_current","summary":"PromptLayer is a platform for prompt engineering and tracks your LLM requests."},"popularity":{"monthly_downloads":431862,"position":6713,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.5.14"}