PromptLayer
Free tierThe collaboration layer for AI engineering teams — prompt CMS, eval harness, and observability stack
Free tier available·All audiences·API available
Key strengths
Prompt version control and CMS for managing prompt templatesEvaluation harness for testing and comparing LLM outputsFull observability stack for tracking LLM requests and performanceEnables non-engineers (domain experts) to iterate on prompts without code changesPurpose-built for AI engineering team collaboration
Free tier + paid plans
San Francisco, USA
Founded 2022
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PromptLayer Technical Integration
SDK & Proxy Setup
PromptLayer offers two primary integration paths:
- SDK Wrapper — Install
promptlayervia pip or npm, wrap your existing OpenAI/Anthropic client, and all requests are automatically logged with zero latency overhead. - REST API Proxy — Route requests through PromptLayer's proxy endpoint to capture logs without modifying client code.
import promptlayer
openai = promptlayer.openai # drop-in replacement
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}],
pl_tags=["production"]
)
Prompt Registry
Pull versioned prompt templates at runtime using the Prompt Registry API, decoupling prompt content from your deployment cycle:
prompt_template = promptlayer.prompts.get("my-prompt", version=3)
Evaluation Harness
- Define datasets of input/output pairs and scoring functions
- Run batch evals against any prompt version or model
- Compare results side-by-side in the dashboard or via API
Observability
- Full request/response logging with metadata and tags
- Latency, cost, and token usage analytics
- Trace multi-step agent workflows end-to-end