
Product
Introducing Tier 1 Reachability: Precision CVE Triage for Enterprise Teams
Socket’s new Tier 1 Reachability filters out up to 80% of irrelevant CVEs, so security teams can focus on the vulnerabilities that matter.
The first platform built for prompt engineers
PromptLayer is the first platform that allows you to track, manage, and share your GPT prompt engineering. PromptLayer acts a middleware between your code and OpenAI’s python library.
PromptLayer records all your OpenAI API requests, allowing you to search and explore request history in the PromptLayer dashboard.
This repo contains the Python wrapper library for PromptLayer.
pip install promptlayer
Use pip install .
to install locally.
To get started, create an account by clicking “Log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location (Guide to Using Env Vars).
Once you have that all set up, install PromptLayer using pip
.
In the Python file where you use OpenAI APIs, add the following. This allows us to keep track of your requests without needing any other code changes.
from promptlayer import PromptLayer
promptlayer = PromptLayer(api_key="<YOUR PromptLayer API KEY pl_xxxxxx>")
openai = promptlayer.openai
You can then use openai
as you would if you had imported it directly.
pl_tags
PromptLayer allows you to add tags through the pl_tags
argument. This allows you to track and group requests in the dashboard.
Tags are not required but we recommend them!
openai.Completion.create(
engine="text-ada-001",
prompt="My name is",
pl_tags=["name-guessing", "pipeline-2"]
)
After making your first few requests, you should be able to see them in the PromptLayer dashboard!
This Python library is a wrapper over PromptLayer's REST API. If you use another language, like Javascript, just interact directly with the API.
Here is an example request below:
import requests
request_response = requests.post(
"https://api.promptlayer.com/track-request",
json={
"function_name": "openai.Completion.create",
"args": [],
"kwargs": {"engine": "text-ada-001", "prompt": "My name is"},
"tags": ["hello", "world"],
"request_response": {"id": "cmpl-6TEeJCRVlqQSQqhD8CYKd1HdCcFxM", "object": "text_completion", "created": 1672425843, "model": "text-ada-001", "choices": [{"text": " advocacy\"\n\nMy name is advocacy.", "index": 0, "logprobs": None, "finish_reason": "stop"}]},
"request_start_time": 1673987077.463504,
"request_end_time": 1673987077.463504,
"api_key": "pl_<YOUR API KEY>",
},
)
We welcome contributions to our open source project, including new features, infrastructure improvements, and better documentation. For more information or any questions, contact us at hello@promptlayer.com.
FAQs
PromptLayer is a platform for prompt engineering and tracks your LLM requests.
We found that promptlayer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket’s new Tier 1 Reachability filters out up to 80% of irrelevant CVEs, so security teams can focus on the vulnerabilities that matter.
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