@devdocsai/core v0.19.1
@devdocsai/core
@devdocsai/core
is the core library for DevDocs.ai, a conversational AI
component for your website, trained on your data.
It contains core functionality for DevDocs.ai and allows you to build abstractions on top of it.
Installation
npm install @devdocsai/core
In browsers with esm.sh:
<script type="module">
import {
submitChat,
submitSearchQuery,
submitFeedback,
} from 'https://esm.sh/@devdocsai/core';
</script>
Usage
import { submitChat } from '@devdocsai/core';
// User input
const prompt = 'What is DevDocs.ai?';
// Can be obtained in your project settings on devdocs.ai
const projectKey = 'YOUR-PROJECT-KEY';
// Called when a new answer chunk is available
// Should be concatenated to previous chunks
function onAnswerChunk(chunk) {
// Process an answer chunk
}
// Called when references are available
function onReferences(references) {
// Process references
}
function onConversationId(conversationId) {
// Store conversationId for future use
}
function onPromptId(promptId) {
// Store promptId for future use
}
// Called when submitChat encounters an error
function onError(error) {
// Handle errors
}
// Optional parameters, defaults displayed
const options = {
model: 'gpt-3.5-turbo', // Supports all OpenAI models
iDontKnowMessage: 'Sorry, I am not sure how to answer that.',
apiUrl: 'https://api.devdocs.ai/v1/chat', // Or your own chat API endpoint
};
await submitChat(
[{ content: prompt, role: 'user' }],
projectKey,
onAnswerChunk,
onReferences,
onConversationId,
onPromptId,
onError,
options,
);
API
submitChat(messages: ChatMessage[], projectKey: string, onAnswerChunk, onReferences, onConversationId, onPromptId, onError, options?)
Submit a prompt to the DevDocs.ai Completions API.
Arguments
messages
(ChatMessage[]
): Chat messages to submit to the modelprojectKey
(string
): Project key for the projectonAnswerChunk
(function(chunk: string)
): Answers come in via streaming. This function is called when a new chunk arrives. Chunks should be concatenated to previous chunks of the same answer response.onReferences
(function(references: FileSectionReference[])
): This function is called when receiving the list of references from which the response was created.onConversationId
(function(conversationId: string)
): This function is called with the conversation ID returned by the API. Used to keep track of conversations.onPromptId
(function(promptId: string)
): This function is called with the prompt ID returned by the API. Used to submit feedback.onError
(function
): called when an error occursoptions
(SubmitChatOptions
): Optional parameters
Options
All options are optional.
apiUrl
(string
): URL at which to fetch completionsconversationId
(string
): Conversation IDiDontKnowMessage
(string
): Message returned when the model does not have an answermodel
(OpenAIModelId
): The OpenAI model to usesystemPrompt
(string
): The prompt templatetemperature
(number
): The model temperaturetopP
(number
): The model top PfrequencyPenalty
(number
): The model frequency penaltypresencePenalty
(number
): The model present penaltymaxTokens
(number
): The max number of tokens to include in the responsesectionsMatchCount
(number
): The number of sections to include in the prompt contextsectionsMatchThreshold
(number
): The similarity threshold between thesectionsScope
(number
): When a section is matched, extend the context to the parent section. For instance, if a section has level 3 andsectionsScope
is set to 1, include the content of the entire parent section of level 1. If 0, this includes the entire file.signal
(AbortSignal
): AbortController signal
Returns
A promise that resolves when the response is fully handled.
submitSearchQuery(query, projectKey, options?)
Submit a search query to the DevDocs.ai Search API.
Arguments
query
(string
): Search queryprojectKey
(string
): Project key for the projectoptions
(object
): Optional parameters
Options
apiUrl
(string
): URL at which to fetch search resultslimit
(number
): Maximum amount of results to returnsignal
(AbortSignal
): AbortController signal
Returns
A list of search results.
submitFeedback(feedback, projectKey, options?)
Submit feedback to the DevDocs.ai Feedback API about a specific prompt.
Arguments
feedback
(object
): Feedback to submitfeedback.feedback
(object
): Feedback datafeedback.feedback.vote
("1" | "-1"
): Votefeedback.promptId
(string
): Prompt IDprojectKey
(string
): Project key for the projectoptions
(object
): Optional parametersoptions.apiUrl
(string
): URL at which to post feedbackoptions.onFeedbackSubmitted
(function
): Callback function when feedback is submittedoptions.signal
(AbortSignal
): AbortController signal
Returns
A promise that resolves when the feedback is submitted. Has no return value.
Authors
This library is created by the team behind DevDocs.ai (DevDocs.work). DevDocs.work also provides technical writing, software development, custom AI, design, and other consulting services.