Open AI Completion
Integrate OpenAI Chat Completion into Datastreamer Pipelines
Statistics
| Type | Speed | Partner Type |
|---|---|---|
| Post-Processing Classifier | Instant | Datastreamer Internal |
Example Use Cases
- Applying chatGPT Text Completion on any data source
Compatible Data Sources
As a Post-Processing operation, it can be run on any data source containing JSON documents.
Pipeline Integration
Modify your Datastreamer Pipeline, make sure you have at least one Ingress component for Input Documents, from Pipeline Component Picker, find OpenAI Chat Completion component to connect to.
Datastreamer Pipeline Component for OpenAI Chat Completion
Configure OpenAI Chat Completion Component
Fill in required fields on the component configuration panel
Supported Options
- Text field name available in input documents and containing text content
- Destination field name to add generated response into
- Prompt Text
- Model name and version
- Max Completion Tokens
- Top P
- N completions
- Log Probabilities
- Condition, to filter input documents
- JSON Schema Response Format
For more information on parameters usage, see completion parameter. See Open AI Completion API Reference for parameters
Updated 10 days ago