Files
gitbook/packages/gitbook/src/components/AI/useAIChat.tsx
T
2025-09-16 12:07:29 +02:00

470 lines
16 KiB
TypeScript

'use client';
import * as zustand from 'zustand';
import { useLanguage } from '@/intl/client';
import { tString } from '@/intl/translate';
import {
AIMessageRole,
type AIStreamResponseToolCallPending,
type AIToolCallResult,
} from '@gitbook/api';
import type { IconName } from '@gitbook/icons';
import * as React from 'react';
import { useTrackEvent } from '../Insights';
import { integrationsAssistantTools } from '../Integrations';
import { useSearch } from '../Search';
import { type RenderAIMessageOptions, streamAIChatResponse } from './server-actions';
import { useAIMessageContextRef } from './useAIMessageContext';
export type AIChatMessage = {
role: AIMessageRole;
content: React.ReactNode;
query?: string;
};
export type AIChatPendingTool = {
icon?: IconName;
label: string;
/**
* Confirm the tool call by calling this function.
*/
confirm: () => Promise<void>;
/**
* Tool call result to cancel it.
*/
cancelToolCall: AIToolCallResult;
};
export type AIChatState = {
/**
* If true, the chat is open.
*/
opened: boolean;
/**
* ID of the latest AI response.
*/
responseId: string | null;
/**
* The latest query sent to the AI.
*/
query: string | null;
/**
* The first query sent to the AI. This is appended to the URL when the AI chat is opened.
*/
initialQuery: string | null;
/**
* Messages in the session.
*/
messages: AIChatMessage[];
/**
* Suggestions for follow-up messages.
*/
followUpSuggestions: string[];
/**
* Tools that are pending confirmation to be executed.
*/
pendingTools: AIChatPendingTool[];
/**
* If true, the session is in progress.
*/
loading: boolean;
/**
* Set to true when an error occurred while communicating with the server. When
* this flag is true, the chat input should be read-only and the UI should
* display an error alert. Clearing the conversation will reset this flag.
*/
error: boolean;
};
export type AIChatController = {
/** Open the dialog */
open: () => void;
/** Close the dialog */
close: () => void;
/** Post a message to the session */
postMessage: (input: { message: string }) => void;
/** Clear the conversation */
clear: () => void;
};
const AIChatControllerContext = React.createContext<AIChatController | null>(null);
// Global state store for AI chat
const globalState = zustand.create<AIChatState>(() => {
return {
opened: false,
responseId: null,
messages: [],
query: null,
followUpSuggestions: [],
pendingTools: [],
loading: false,
error: false,
initialQuery: null,
};
});
/**
* Get the current state of the AI chat.
*/
export function useAIChatState(): AIChatState {
const state = zustand.useStore(globalState);
return state;
}
/**
* Provide the controller to interact with the AI chat.
*/
export function AIChatProvider(props: {
renderMessageOptions?: RenderAIMessageOptions;
children: React.ReactNode;
}) {
const { renderMessageOptions, children } = props;
const messageContextRef = useAIMessageContextRef();
const trackEvent = useTrackEvent();
const [, setSearchState] = useSearch();
const language = useLanguage();
// Open AI chat and sync with search state
const onOpen = React.useCallback(() => {
const { initialQuery } = globalState.getState();
globalState.setState((state) => ({ ...state, opened: true }));
// Update search state to show ask mode with first message or current ask value
setSearchState((prev) => ({
ask: prev?.ask ?? initialQuery ?? '',
query: prev?.query ?? null,
scope: prev?.scope ?? 'default',
open: false, // Close search popover when opening chat
}));
}, [setSearchState]);
// Close AI chat and clear ask parameter
const onClose = React.useCallback(() => {
globalState.setState((state) => ({ ...state, opened: false }));
// Clear ask parameter but keep other search state
setSearchState((prev) => ({
ask: null,
query: prev?.query ?? null,
scope: prev?.scope ?? 'default',
open: false,
}));
}, [setSearchState]);
// Stream a message with the AI backend
const streamResponse = React.useCallback(
async (input: {
/** Text message to send to the AI backend */
message?: string;
/** Tool call to send to the AI backend */
toolCall?: AIToolCallResult;
}) => {
globalState.setState((state) => {
return {
...state,
followUpSuggestions: [],
pendingTools: [],
loading: true,
error: false,
messages: [
...state.messages,
{
role: AIMessageRole.Assistant,
content: null, // Placeholder for streaming response
},
],
};
});
// Execute a tool call
const executeToolCall = async (event: AIStreamResponseToolCallPending) => {
const integrationTools = integrationsAssistantTools.getState().tools;
const toolDef = integrationTools.find((tool) => tool.name === event.toolCall.tool);
if (!toolDef) {
throw new Error(`Tool ${event.toolCall.tool} not found`);
}
try {
const result = await toolDef.execute(event.toolCall.input);
streamResponse({
toolCall: {
tool: event.toolCall.tool,
toolCallId: event.toolCallId,
output: result.output,
summary: result.summary,
},
});
} catch (error) {
streamResponse({
toolCall: {
tool: event.toolCall.tool,
toolCallId: event.toolCallId,
output: {
error: error instanceof Error ? error.message : 'Unknown error',
},
summary: {
icon: 'bomb',
text: 'An error occurred while executing the tool',
},
},
});
}
};
let toolToExecute: AIStreamResponseToolCallPending | null = null;
try {
const integrationTools = integrationsAssistantTools.getState().tools;
const stream = await streamAIChatResponse({
message: input.message,
toolCall: input.toolCall,
messageContext: messageContextRef.current,
previousResponseId: globalState.getState().responseId ?? undefined,
tools: integrationTools.map((tool) => ({
name: tool.name,
description: tool.description,
inputSchema: tool.inputSchema,
})),
options: {
withLinkPreviews: renderMessageOptions?.withLinkPreviews ?? true,
withToolCalls: renderMessageOptions?.withToolCalls ?? true,
asEmbeddable: renderMessageOptions?.asEmbeddable ?? false,
},
});
// Process streaming response
for await (const data of stream) {
if (!data) continue;
if (input.message && globalState.getState().query !== input.message) {
// Chat was cleared, stop processing the stream
break;
}
const event = data.event;
switch (event.type) {
case 'response_finish': {
globalState.setState((state) => ({
...state,
responseId: event.responseId,
// Mark as not loading when the response is finished
// Even if the stream might continue as we receive 'response_followup_suggestion'
loading: false,
error: false,
}));
break;
}
case 'response_followup_suggestion': {
globalState.setState((state) => ({
...state,
followUpSuggestions: [
...state.followUpSuggestions,
...event.suggestions,
],
}));
break;
}
case 'response_tool_call_pending': {
const toolDef = integrationTools.find(
(tool) => tool.name === event.toolCall.tool
);
if (!toolDef) {
throw new Error(`Tool ${event.toolCall.tool} not found`);
}
const confirmation = toolDef.confirmation;
if (confirmation) {
globalState.setState((state) => ({
...state,
pendingTools: [
...state.pendingTools,
{
icon: confirmation.icon,
label: confirmation.label,
cancelToolCall: {
tool: event.toolCall.tool,
toolCallId: event.toolCallId,
output: {
cancelled: 'User did not confirm the tool call',
},
summary: {
icon: 'forward',
text: tString(
language,
'tool_call_skipped',
confirmation.label
),
},
},
confirm: async () => {
await executeToolCall(event);
},
},
],
}));
} else {
toolToExecute = event;
}
break;
}
}
// Update the assistant message with streamed content
globalState.setState((state) => ({
...state,
messages: [
...state.messages.slice(0, -1),
{
role: AIMessageRole.Assistant,
content: data.content,
},
],
}));
}
// Execute the tool call if it doesn't require confirmation
if (toolToExecute) {
await executeToolCall(toolToExecute);
}
globalState.setState((state) => ({
...state,
loading: false,
error: false,
}));
} catch (error) {
console.error('Error streaming AI response', error);
globalState.setState((state) => ({
...state,
loading: false,
error: true,
}));
}
},
[
messageContextRef.current,
renderMessageOptions?.withLinkPreviews,
renderMessageOptions?.withToolCalls,
renderMessageOptions?.asEmbeddable,
language,
]
);
// Post a message to the AI chat
const onPostMessage = React.useCallback(
async (input: { message: string }) => {
const { query, messages, pendingTools } = globalState.getState();
// For first message, update the ask parameter in URL
if (messages.length === 0) {
setSearchState((prev) => ({
ask: input.message,
query: prev?.query ?? null,
scope: prev?.scope ?? 'default',
open: false,
}));
}
if (query === input.message) {
// Return early if the message is the same as the previous message
return;
}
trackEvent({ type: 'ask_question', query: input.message });
// Add user message and placeholder for AI response
globalState.setState((state) => {
return {
...state,
messages: [
...state.messages,
{
role: AIMessageRole.User,
content: input.message,
query: input.message,
},
],
query: input.message,
followUpSuggestions: [],
loading: true,
error: false,
initialQuery: state.initialQuery ?? input.message,
};
});
const pendingTool = pendingTools[0];
streamResponse({
message: input.message,
// If we had a pending tool call, we need to send it as being cancelled
// otherwise the AI will fail to process the message
...(pendingTool ? { toolCall: pendingTool.cancelToolCall } : {}),
});
},
[setSearchState, trackEvent, streamResponse]
);
// Clear the conversation and reset ask parameter
const onClear = React.useCallback(() => {
globalState.setState((state) => ({
opened: state.opened,
loading: false,
messages: [],
query: null,
followUpSuggestions: [],
pendingTools: [],
responseId: null,
error: false,
initialQuery: null,
}));
// Reset ask parameter to empty string (keeps chat open but clears content)
setSearchState((prev) => ({
ask: '',
query: prev?.query ?? null,
scope: prev?.scope ?? 'default',
open: false,
}));
}, [setSearchState]);
const controller = React.useMemo(() => {
return {
open: onOpen,
close: onClose,
clear: onClear,
postMessage: onPostMessage,
};
}, [onOpen, onClose, onClear, onPostMessage]);
return (
<AIChatControllerContext.Provider value={controller}>
{children}
</AIChatControllerContext.Provider>
);
}
/**
* Get the controller to interact with the AI chat.
* Integrates with search state to synchronize ?ask= parameter.
*/
export function useAIChatController(): AIChatController {
const controller = React.useContext(AIChatControllerContext);
if (!controller) {
throw new Error('useAIChatController must be used within an AIChatProvider');
}
return controller;
}