Proompty Chat API
The Chat API from Proompty — 1 operation(s) for chat.
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OpenAPI Specification
openapi: 3.2.0
info:
title: Proompty Chat API
version: 1.1.0
description: 'Proompty is an advanced Retrieval Augmented Generation (RAG) API designed
to empower users in seamlessly integrating their data and harnessing the
power of customized Large Language Model (LLM) prompts for interactive
communication. At its core, Proompty operates through a series of
interconnected functionalities that enable users to navigate and
manipulate their data effectively.'
termsOfService: https://proompty.com/terms-of-service
contact:
email: developers@proompty.com
servers:
- url: https://app.proompty.com/api
security:
- APIKey: []
tags:
- name: Chat
paths:
/topics/{topicId}/prompts/{promptId}/chat:
post:
parameters:
- in: path
name: topicId
schema:
type: string
required: true
- in: path
name: promptId
schema:
type: string
required: true
tags:
- Chat
description: 'Chat with a Prompt AI with a message or a binary stream using content-type: application/octet-stream (see Request body dropdown)'
summary: Retrieves user information within the Proompty API system.
requestBody:
required: true
content:
application/json:
schema:
properties:
message:
type: string
description: The message to send to the prompt AI.
example: What is your favorite color?
model:
type: string
description: The model to use for the response. Default is gpt4.
example: gpt3 | gpt4 | gpt4o
temperature:
type: string
description: The temperature to use for the response. Default is 0.15.
example: '0.15'
maxTokens:
type: string
description: The maximum number of tokens to generate for the response. Default is 500.
example: '500'
application/octet-stream:
schema:
type: string
format: binary
description: The binary stream to be uploaded.
responses:
'200':
description: Prompt
content:
application/json:
schema:
properties:
text:
type: string
description: The response from the prompt AIt.
example: My favorite color is blue.
model:
type: string
description: The model used to generate the response.
example: gpt4
sourceDocuments:
type: array
items:
type: object
properties:
metadata:
type: object
properties:
documentId:
type: string
filename:
type: string
topicId:
type: string
'404':
description: Prompt not found
'500':
description: Error getting prompt
operationId: postTopicsByTopicIdPromptsByPromptIdChat
x-operation-id-source: derived
externalDocs:
url: /api.yaml
description: OpenAPI Specification