Files
FastGPT/packages/global/core/chat/adapt.ts
Archer 830eb19055 feature: V4.12.2 (#5525)
* feat: favorite apps & quick apps with their own configuration (#5515)

* chore: extract chat history and drawer; fix model selector

* feat: display favourite apps and make it configurable

* feat: favorite apps & quick apps with their own configuration

* fix: fix tab title and add loading state for searching

* fix: cascade delete favorite app and quick app while deleting relative app

* chore: make improvements

* fix: favourite apps ui

* fix: add permission for quick apps

* chore: fix permission & clear redundant code

* perf: chat home page code

* chatbox ui

* fix: 4.12.2-dev (#5520)

* fix: add empty placeholder; fix app quick status; fix tag and layout

* chore: add tab query for the setting tabs

* chore: use `useConfirm` hook instead of `MyModal`

* remove log

* fix: fix modal padding (#5521)

* perf: manage app

* feat: enhance model provider handling and update icon references (#5493)

* perf: model provider

* sdk package

* refactor: create llm response (#5499)

* feat: add LLM response processing functions, including the creation of stream-based and complete responses

* feat: add volta configuration for node and pnpm versions

* refactor: update LLM response handling and event structure in tool choice logic

* feat: update LLM response structure and integrate with tool choice logic

* refactor: clean up imports and remove unused streamResponse function in chat and toolChoice modules

* refactor: rename answer variable to answerBuffer for clarity in LLM response handling

* feat: enhance LLM response handling with tool options and integrate tools into chat and tool choice logic

* refactor: remove volta configuration from package.json

* refactor: reorganize LLM response types and ensure default values for token counts

* refactor: streamline LLM response handling by consolidating response structure and removing redundant checks

* refactor: enhance LLM response handling by consolidating tool options and streamlining event callbacks

* fix: build error

* refactor: update tool type definitions for consistency in tool handling

* feat: llm request function

* fix: ts

* fix: ts

* fix: ahook ts

* fix: variable name

* update lock

* ts version

* doc

* remove log

* fix: translation type

* perf: workflow status check

* fix: ts

* fix: prompt tool call

* fix: fix missing plugin interact window & make tag draggable (#5527)

* fix: incorrect select quick apps state; filter apps type (#5528)

* fix: usesafe translation

* perf: add quickapp modal

---------

Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>
Co-authored-by: Ctrlz <143257420+ctrlz526@users.noreply.github.com>
Co-authored-by: francis <zhichengfan18@gmail.com>
2025-08-25 19:19:43 +08:00

426 lines
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TypeScript
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import type {
AIChatItemValueItemType,
ChatItemType,
ChatItemValueItemType,
RuntimeUserPromptType,
SystemChatItemValueItemType,
UserChatItemType,
UserChatItemValueItemType
} from '../../core/chat/type.d';
import { ChatFileTypeEnum, ChatItemValueTypeEnum, ChatRoleEnum } from '../../core/chat/constants';
import type {
ChatCompletionContentPart,
ChatCompletionFunctionMessageParam,
ChatCompletionMessageFunctionCall,
ChatCompletionMessageParam,
ChatCompletionMessageToolCall,
ChatCompletionToolMessageParam
} from '../../core/ai/type.d';
import { ChatCompletionRequestMessageRoleEnum } from '../../core/ai/constants';
const GPT2Chat = {
[ChatCompletionRequestMessageRoleEnum.System]: ChatRoleEnum.System,
[ChatCompletionRequestMessageRoleEnum.User]: ChatRoleEnum.Human,
[ChatCompletionRequestMessageRoleEnum.Assistant]: ChatRoleEnum.AI,
[ChatCompletionRequestMessageRoleEnum.Function]: ChatRoleEnum.AI,
[ChatCompletionRequestMessageRoleEnum.Tool]: ChatRoleEnum.AI
};
export function adaptRole_Message2Chat(role: `${ChatCompletionRequestMessageRoleEnum}`) {
return GPT2Chat[role];
}
export const simpleUserContentPart = (content: ChatCompletionContentPart[]) => {
if (content.length === 1 && content[0].type === 'text') {
return content[0].text;
}
return content;
};
export const chats2GPTMessages = ({
messages,
reserveId,
reserveTool = false
}: {
messages: ChatItemType[];
reserveId: boolean;
reserveTool?: boolean;
}): ChatCompletionMessageParam[] => {
let results: ChatCompletionMessageParam[] = [];
messages.forEach((item) => {
const dataId = reserveId ? item.dataId : undefined;
if (item.obj === ChatRoleEnum.System) {
const content = item.value?.[0]?.text?.content;
if (content) {
results.push({
dataId,
role: ChatCompletionRequestMessageRoleEnum.System,
content
});
}
} else if (item.obj === ChatRoleEnum.Human) {
const value = item.value
.map((item) => {
if (item.type === ChatItemValueTypeEnum.text) {
return {
type: 'text',
text: item.text?.content || ''
};
}
if (item.type === ChatItemValueTypeEnum.file) {
if (item.file?.type === ChatFileTypeEnum.image) {
return {
type: 'image_url',
image_url: {
url: item.file.url
}
};
} else if (item.file?.type === ChatFileTypeEnum.file) {
return {
type: 'file_url',
name: item.file?.name || '',
url: item.file.url
};
}
}
})
.filter(Boolean) as ChatCompletionContentPart[];
results.push({
dataId,
hideInUI: item.hideInUI,
role: ChatCompletionRequestMessageRoleEnum.User,
content: simpleUserContentPart(value)
});
} else {
const aiResults: ChatCompletionMessageParam[] = [];
//AI
item.value.forEach((value, i) => {
if (value.type === ChatItemValueTypeEnum.tool && value.tools && reserveTool) {
const tool_calls: ChatCompletionMessageToolCall[] = [];
const toolResponse: ChatCompletionToolMessageParam[] = [];
value.tools.forEach((tool) => {
tool_calls.push({
id: tool.id,
type: 'function',
function: {
name: tool.functionName,
arguments: tool.params
}
});
toolResponse.push({
tool_call_id: tool.id,
role: ChatCompletionRequestMessageRoleEnum.Tool,
name: tool.functionName,
content: tool.response
});
});
aiResults.push({
dataId,
role: ChatCompletionRequestMessageRoleEnum.Assistant,
tool_calls
});
aiResults.push(...toolResponse);
} else if (
value.type === ChatItemValueTypeEnum.text &&
typeof value.text?.content === 'string'
) {
if (!value.text.content && item.value.length > 1) {
return;
}
// Concat text
const lastValue = item.value[i - 1];
const lastResult = aiResults[aiResults.length - 1];
if (
lastValue &&
lastValue.type === ChatItemValueTypeEnum.text &&
typeof lastResult?.content === 'string'
) {
lastResult.content += value.text.content;
} else {
aiResults.push({
dataId,
role: ChatCompletionRequestMessageRoleEnum.Assistant,
content: value.text.content
});
}
} else if (value.type === ChatItemValueTypeEnum.interactive) {
aiResults.push({
dataId,
role: ChatCompletionRequestMessageRoleEnum.Assistant,
interactive: value.interactive
});
}
});
// Auto add empty assistant message
results = results.concat(
aiResults.length > 0
? aiResults
: [
{
dataId,
role: ChatCompletionRequestMessageRoleEnum.Assistant,
content: ''
}
]
);
}
});
return results;
};
export const GPTMessages2Chats = ({
messages,
reserveTool = true,
getToolInfo
}: {
messages: ChatCompletionMessageParam[];
reserveTool?: boolean;
getToolInfo?: (name: string) => { name: string; avatar: string };
}): ChatItemType[] => {
const chatMessages = messages
.map((item) => {
const obj = GPT2Chat[item.role];
const value = (() => {
if (
obj === ChatRoleEnum.System &&
item.role === ChatCompletionRequestMessageRoleEnum.System
) {
const value: SystemChatItemValueItemType[] = [];
if (Array.isArray(item.content)) {
item.content.forEach((item) => [
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: item.text
}
})
]);
} else {
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: item.content
}
});
}
return value;
} else if (
obj === ChatRoleEnum.Human &&
item.role === ChatCompletionRequestMessageRoleEnum.User
) {
const value: UserChatItemValueItemType[] = [];
if (typeof item.content === 'string') {
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: item.content
}
});
} else if (Array.isArray(item.content)) {
item.content.forEach((item) => {
if (item.type === 'text') {
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: item.text
}
});
} else if (item.type === 'image_url') {
value.push({
//@ts-ignore
type: ChatItemValueTypeEnum.file,
file: {
type: ChatFileTypeEnum.image,
name: '',
url: item.image_url.url
}
});
} else if (item.type === 'file_url') {
value.push({
// @ts-ignore
type: ChatItemValueTypeEnum.file,
file: {
type: ChatFileTypeEnum.file,
name: item.name,
url: item.url
}
});
}
});
}
return value;
} else if (
obj === ChatRoleEnum.AI &&
item.role === ChatCompletionRequestMessageRoleEnum.Assistant
) {
const value: AIChatItemValueItemType[] = [];
if (typeof item.reasoning_text === 'string' && item.reasoning_text) {
value.push({
type: ChatItemValueTypeEnum.reasoning,
reasoning: {
content: item.reasoning_text
}
});
}
if (item.tool_calls && reserveTool) {
// save tool calls
const toolCalls = item.tool_calls as ChatCompletionMessageToolCall[];
value.push({
//@ts-ignore
type: ChatItemValueTypeEnum.tool,
tools: toolCalls.map((tool) => {
let toolResponse =
messages.find(
(msg) =>
msg.role === ChatCompletionRequestMessageRoleEnum.Tool &&
msg.tool_call_id === tool.id
)?.content || '';
toolResponse =
typeof toolResponse === 'string' ? toolResponse : JSON.stringify(toolResponse);
const toolInfo = getToolInfo?.(tool.function.name);
return {
id: tool.id,
toolName: toolInfo?.name || '',
toolAvatar: toolInfo?.avatar || '',
functionName: tool.function.name,
params: tool.function.arguments,
response: toolResponse as string
};
})
});
}
if (item.function_call && reserveTool) {
const functionCall = item.function_call as ChatCompletionMessageFunctionCall;
const functionResponse = messages.find(
(msg) =>
msg.role === ChatCompletionRequestMessageRoleEnum.Function &&
msg.name === item.function_call?.name
) as ChatCompletionFunctionMessageParam;
if (functionResponse) {
value.push({
//@ts-ignore
type: ChatItemValueTypeEnum.tool,
tools: [
{
id: functionCall.id || '',
toolName: functionCall.toolName || '',
toolAvatar: functionCall.toolAvatar || '',
functionName: functionCall.name,
params: functionCall.arguments,
response: functionResponse.content || ''
}
]
});
}
}
if (item.interactive) {
value.push({
//@ts-ignore
type: ChatItemValueTypeEnum.interactive,
interactive: item.interactive
});
}
if (typeof item.content === 'string' && item.content) {
const lastValue = value[value.length - 1];
if (lastValue && lastValue.type === ChatItemValueTypeEnum.text && lastValue.text) {
lastValue.text.content += item.content;
} else {
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: item.content
}
});
}
}
return value;
}
return [];
})();
return {
dataId: item.dataId,
obj,
hideInUI: item.hideInUI,
value
} as ChatItemType;
})
.filter((item) => item.value.length > 0);
// Merge data with the same dataIdSequential obj merging
const result = chatMessages.reduce((result: ChatItemType[], currentItem) => {
const lastItem = result[result.length - 1];
if (lastItem && lastItem.dataId === currentItem.dataId && lastItem.obj === currentItem.obj) {
// @ts-ignore
lastItem.value = lastItem.value.concat(currentItem.value);
} else {
result.push(currentItem);
}
return result;
}, []);
return result;
};
export const chatValue2RuntimePrompt = (value: ChatItemValueItemType[]): RuntimeUserPromptType => {
const prompt: RuntimeUserPromptType = {
files: [],
text: ''
};
value.forEach((item) => {
if (item.type === 'file' && item.file) {
prompt.files.push(item.file);
} else if (item.text) {
prompt.text += item.text.content;
}
});
return prompt;
};
export const runtimePrompt2ChatsValue = (
prompt: RuntimeUserPromptType
): UserChatItemType['value'] => {
const value: UserChatItemType['value'] = [];
if (prompt.files) {
prompt.files.forEach((file) => {
value.push({
type: ChatItemValueTypeEnum.file,
file
});
});
}
if (prompt.text) {
value.push({
type: ChatItemValueTypeEnum.text,
text: {
content: prompt.text
}
});
}
return value;
};
export const getSystemPrompt_ChatItemType = (prompt?: string): ChatItemType[] => {
if (!prompt) return [];
return [
{
obj: ChatRoleEnum.System,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: prompt } }]
}
];
};