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PromptLayer Handler

PromptLayer is an LLMOps tool to help manage prompts, check out the features. Currently we only support OpenAI for this integration.

If you’re opening this Notebook on colab, you will probably need to install LlamaIndex 🦙 and PromptLayer.

!pip install llama-index
!pip install promptlayer
import os
os.environ["OPENAI_API_KEY"] = "sk-..."
os.environ["PROMPTLAYER_API_KEY"] = "pl_..."
!mkdir -p 'data/paul_graham/'
!wget 'https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'
Will not apply HSTS. The HSTS database must be a regular and non-world-writable file.
ERROR: could not open HSTS store at '/home/loganm/.wget-hsts'. HSTS will be disabled.
--2023-11-29 21:09:27-- https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 75042 (73K) [text/plain]
Saving to: ‘data/paul_graham/paul_graham_essay.txt’
data/paul_graham/pa 100%[===================>] 73.28K --.-KB/s in 0.04s
2023-11-29 21:09:28 (1.76 MB/s) - ‘data/paul_graham/paul_graham_essay.txt’ saved [75042/75042]
from llama_index.core import SimpleDirectoryReader
docs = SimpleDirectoryReader("./data/paul_graham/").load_data()
from llama_index.core import set_global_handler
# pl_tags are optional, to help you organize your prompts and apps
set_global_handler("promptlayer", pl_tags=["paul graham", "essay"])
from llama_index.core import VectorStoreIndex
index = VectorStoreIndex.from_documents(docs)
query_engine = index.as_query_engine()
response = query_engine.query("What did the author do growing up?")

image.png

Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/