Documentation Index
Fetch the complete documentation index at: https://docs.helicone.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Quick Start
Python (w/ package)
Node.js (w/ package)
cURL
from helicone.runs import HeliconeJob, HeliconeNode, HeliconeNodeConfig
from helicone.openai_proxy import openai, Meta
my_job = HeliconeJob(
name="My Job",
description="This job utilizes Helicone",
custom_properties={
"hello": "bye"
}
)
create_course_outline = my_job.create_node(
HeliconeNodeConfig(
name="My Node",
description="This node utilizes Helicone",
custom_properties={
"topic": topic,
}
)
)
openai.ChatCompletion.create(
model="gpt-4o-mini",
messages=[
{"role": "user", "content": f"Hello!"}
],
heliconeMeta=Meta(
node_id=create_course_outline.id,
)
)
Coming soon! Please upvote on our roadmap. Create a jobcurl --request POST \
--url https://api.helicone.ai/job \
--header "Authorization: Bearer $HELICONE_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"name": "My Job",
"description": "This is my job",
"customProperties": {
"hello": "world"
},
"timeoutSeconds": 3600,
"status": "PENDING"
}'
Viewing Jobs
By navigating to helicone.ai/jobs, you can view all your jobs along with their current status.
Clicking on a specific job will redirect you to the job page where you can observe the nodes and their respective status.
This can be viewed in both a list format
and a graphical representation
Roadmap
