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New tool calling framework

This commit is contained in:
Cohee 2024-10-02 01:00:48 +03:00
parent b3e88c82b8
commit 8006795897
6 changed files with 427 additions and 253 deletions
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41
public/global.d.ts vendored
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@ -1365,44 +1365,3 @@ declare namespace moment {
declare global {
const moment: typeof moment;
}
/**
* Callback data for the `LLM_FUNCTION_TOOL_REGISTER` event type that is triggered when a function tool can be registered.
*/
interface FunctionToolRegister {
/**
* The type of generation that is being used
*/
type?: string;
/**
* Generation data, including messages and sampling parameters
*/
data: Record<string, object>;
/**
* Callback to register an LLM function tool.
*/
registerFunctionTool: typeof registerFunctionTool;
}
/**
* Callback data for the `LLM_FUNCTION_TOOL_REGISTER` event type that is triggered when a function tool is registered.
* @param name Name of the function tool to register
* @param description Description of the function tool
* @param params JSON schema for the parameters of the function tool
* @param required Whether the function tool should be forced to be used
*/
declare function registerFunctionTool(name: string, description: string, params: object, required: boolean): Promise<void>;
/**
* Callback data for the `LLM_FUNCTION_TOOL_CALL` event type that is triggered when a function tool is called.
*/
interface FunctionToolCall {
/**
* Name of the function tool to call
*/
name: string;
/**
* JSON object with the parameters to pass to the function tool
*/
arguments: string;
}

35
public/script.js
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@ -246,6 +246,7 @@ import { initInputMarkdown } from './scripts/input-md-formatting.js';
import { AbortReason } from './scripts/util/AbortReason.js';
import { initSystemPrompts } from './scripts/sysprompt.js';
import { registerExtensionSlashCommands as initExtensionSlashCommands } from './scripts/extensions-slashcommands.js';
import { ToolManager } from './scripts/tool-calling.js';
//exporting functions and vars for mods
export {
@ -463,8 +464,6 @@ export const event_types = {
FILE_ATTACHMENT_DELETED: 'file_attachment_deleted',
WORLDINFO_FORCE_ACTIVATE: 'worldinfo_force_activate',
OPEN_CHARACTER_LIBRARY: 'open_character_library',
LLM_FUNCTION_TOOL_REGISTER: 'llm_function_tool_register',
LLM_FUNCTION_TOOL_CALL: 'llm_function_tool_call',
ONLINE_STATUS_CHANGED: 'online_status_changed',
IMAGE_SWIPED: 'image_swiped',
CONNECTION_PROFILE_LOADED: 'connection_profile_loaded',
@ -2921,6 +2920,7 @@ class StreamingProcessor {
this.swipes = [];
/** @type {import('./scripts/logprobs.js').TokenLogprobs[]} */
this.messageLogprobs = [];
this.toolCalls = [];
}
#checkDomElements(messageId) {
@ -3139,7 +3139,7 @@ class StreamingProcessor {
}
/**
* @returns {Generator<{ text: string, swipes: string[], logprobs: import('./scripts/logprobs.js').TokenLogprobs }, void, void>}
* @returns {Generator<{ text: string, swipes: string[], logprobs: import('./scripts/logprobs.js').TokenLogprobs, toolCalls: any[] }, void, void>}
*/
*nullStreamingGeneration() {
throw new Error('Generation function for streaming is not hooked up');
@ -3161,12 +3161,13 @@ class StreamingProcessor {
try {
const sw = new Stopwatch(1000 / power_user.streaming_fps);
const timestamps = [];
for await (const { text, swipes, logprobs } of this.generator()) {
for await (const { text, swipes, logprobs, toolCalls } of this.generator()) {
timestamps.push(Date.now());
if (this.isStopped) {
return;
}
this.toolCalls = toolCalls;
this.result = text;
this.swipes = Array.from(swipes ?? []);
if (logprobs) {
@ -4405,6 +4406,20 @@ export async function Generate(type, { automatic_trigger, force_name2, quiet_pro
getMessage = continue_mag + getMessage;
}
if (ToolManager.isFunctionCallingSupported() && Array.isArray(streamingProcessor.toolCalls) && streamingProcessor.toolCalls.length) {
const invocations = await ToolManager.checkFunctionToolCalls(streamingProcessor.toolCalls);
if (invocations.length) {
const lastMessage = chat[chat.length - 1];
const shouldDeleteMessage = ['', '...'].includes(lastMessage?.mes) && ['', '...'].includes(streamingProcessor.result);
if (shouldDeleteMessage) {
await deleteLastMessage();
streamingProcessor = null;
}
ToolManager.saveFunctionToolInvocations(invocations);
return Generate(type, { automatic_trigger, force_name2, quiet_prompt, quietToLoud, skipWIAN, force_chid, signal, quietImage, quietName }, dryRun);
}
}
if (streamingProcessor && !streamingProcessor.isStopped && streamingProcessor.isFinished) {
await streamingProcessor.onFinishStreaming(streamingProcessor.messageId, getMessage);
streamingProcessor = null;
@ -4440,6 +4455,14 @@ export async function Generate(type, { automatic_trigger, force_name2, quiet_pro
throw new Error(data?.response);
}
if (ToolManager.isFunctionCallingSupported()) {
const invocations = await ToolManager.checkFunctionToolCalls(data);
if (invocations.length) {
ToolManager.saveFunctionToolInvocations(invocations);
return Generate(type, { automatic_trigger, force_name2, quiet_prompt, quietToLoud, skipWIAN, force_chid, signal, quietImage, quietName }, dryRun);
}
}
//const getData = await response.json();
let getMessage = extractMessageFromData(data);
let title = extractTitleFromData(data);
@ -7853,7 +7876,7 @@ function openAlternateGreetings() {
if (menu_type !== 'create') {
await createOrEditCharacter();
}
}
},
});
for (let index = 0; index < getArray().length; index++) {
@ -8130,6 +8153,8 @@ window['SillyTavern'].getContext = function () {
registerHelper: () => { },
registerMacro: MacrosParser.registerMacro.bind(MacrosParser),
unregisterMacro: MacrosParser.unregisterMacro.bind(MacrosParser),
registerFunctionTool: ToolManager.registerFunctionTool.bind(ToolManager),
unregisterFunctionTool: ToolManager.unregisterFunctionTool.bind(ToolManager),
registerDebugFunction: registerDebugFunction,
/** @deprecated Use renderExtensionTemplateAsync instead. */
renderExtensionTemplate: renderExtensionTemplate,

52
public/scripts/extensions/expressions/index.js
View File

@ -9,7 +9,6 @@ import { debounce_timeout } from '../../constants.js';
import { SlashCommandParser } from '../../slash-commands/SlashCommandParser.js';
import { SlashCommand } from '../../slash-commands/SlashCommand.js';
import { ARGUMENT_TYPE, SlashCommandArgument, SlashCommandNamedArgument } from '../../slash-commands/SlashCommandArgument.js';
import { isFunctionCallingSupported } from '../../openai.js';
import { SlashCommandEnumValue, enumTypes } from '../../slash-commands/SlashCommandEnumValue.js';
import { commonEnumProviders } from '../../slash-commands/SlashCommandCommonEnumsProvider.js';
import { slashCommandReturnHelper } from '../../slash-commands/SlashCommandReturnHelper.js';
@ -21,7 +20,6 @@ const UPDATE_INTERVAL = 2000;
const STREAMING_UPDATE_INTERVAL = 10000;
const TALKINGCHECK_UPDATE_INTERVAL = 500;
const DEFAULT_FALLBACK_EXPRESSION = 'joy';
const FUNCTION_NAME = 'set_emotion';
const DEFAULT_LLM_PROMPT = 'Ignore previous instructions. Classify the emotion of the last message. Output just one word, e.g. "joy" or "anger". Choose only one of the following labels: {{labels}}';
const DEFAULT_EXPRESSIONS = [
'talkinghead',
@ -1017,10 +1015,6 @@ async function getLlmPrompt(labels) {
return '';
}
if (isFunctionCallingSupported()) {
return '';
}
const labelsString = labels.map(x => `"${x}"`).join(', ');
const prompt = substituteParamsExtended(String(extension_settings.expressions.llmPrompt), { labels: labelsString });
return prompt;
@ -1056,41 +1050,6 @@ function parseLlmResponse(emotionResponse, labels) {
throw new Error('Could not parse emotion response ' + emotionResponse);
}
/**
* Registers the function tool for the LLM API.
* @param {FunctionToolRegister} args Function tool register arguments.
*/
function onFunctionToolRegister(args) {
if (inApiCall && extension_settings.expressions.api === EXPRESSION_API.llm && isFunctionCallingSupported()) {
// Only trigger on quiet mode
if (args.type !== 'quiet') {
return;
}
const emotions = DEFAULT_EXPRESSIONS.filter((e) => e != 'talkinghead');
const jsonSchema = {
$schema: 'http://json-schema.org/draft-04/schema#',
type: 'object',
properties: {
emotion: {
type: 'string',
enum: emotions,
description: `One of the following: ${JSON.stringify(emotions)}`,
},
},
required: [
'emotion',
],
};
args.registerFunctionTool(
FUNCTION_NAME,
substituteParams('Sets the label that best describes the current emotional state of {{char}}. Only select one of the enumerated values.'),
jsonSchema,
true,
);
}
}
function onTextGenSettingsReady(args) {
// Only call if inside an API call
if (inApiCall && extension_settings.expressions.api === EXPRESSION_API.llm && isJsonSchemaSupported()) {
@ -1164,18 +1123,9 @@ export async function getExpressionLabel(text, expressionsApi = extension_settin
const expressionsList = await getExpressionsList();
const prompt = substituteParamsExtended(customPrompt, { labels: expressionsList }) || await getLlmPrompt(expressionsList);
let functionResult = null;
eventSource.once(event_types.TEXT_COMPLETION_SETTINGS_READY, onTextGenSettingsReady);
eventSource.once(event_types.LLM_FUNCTION_TOOL_REGISTER, onFunctionToolRegister);
eventSource.once(event_types.LLM_FUNCTION_TOOL_CALL, (/** @type {FunctionToolCall} */ args) => {
if (args.name !== FUNCTION_NAME) {
return;
}
functionResult = args?.arguments;
});
const emotionResponse = await generateRaw(text, main_api, false, false, prompt);
return parseLlmResponse(functionResult || emotionResponse, expressionsList);
return parseLlmResponse(emotionResponse, expressionsList);
}
// Extras
default: {

149
public/scripts/openai.js
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@ -70,6 +70,7 @@ import { renderTemplateAsync } from './templates.js';
import { SlashCommandEnumValue } from './slash-commands/SlashCommandEnumValue.js';
import { Popup, POPUP_RESULT } from './popup.js';
import { t } from './i18n.js';
import { ToolManager } from './tool-calling.js';
export {
openai_messages_count,
@ -1863,8 +1864,8 @@ async function sendOpenAIRequest(type, messages, signal) {
generate_data['seed'] = oai_settings.seed;
}
if (isFunctionCallingSupported() && !stream) {
await registerFunctionTools(type, generate_data);
if (!canMultiSwipe && ToolManager.isFunctionCallingSupported()) {
await ToolManager.registerFunctionToolsOpenAI(generate_data);
}
if (isOAI && oai_settings.openai_model.startsWith('o1-')) {
@ -1911,6 +1912,7 @@ async function sendOpenAIRequest(type, messages, signal) {
return async function* streamData() {
let text = '';
const swipes = [];
const toolCalls = [];
while (true) {
const { done, value } = await reader.read();
if (done) return;
@ -1926,7 +1928,9 @@ async function sendOpenAIRequest(type, messages, signal) {
text += getStreamingReply(parsed);
}
yield { text, swipes: swipes, logprobs: parseChatCompletionLogprobs(parsed) };
ToolManager.parseToolCalls(toolCalls, parsed);
yield { text, swipes: swipes, logprobs: parseChatCompletionLogprobs(parsed), toolCalls: toolCalls };
}
};
}
@ -1948,147 +1952,10 @@ async function sendOpenAIRequest(type, messages, signal) {
delay(1).then(() => saveLogprobsForActiveMessage(logprobs, null));
}
if (isFunctionCallingSupported()) {
await checkFunctionToolCalls(data);
}
return data;
}
}
/**
* Register function tools for the next chat completion request.
* @param {string} type Generation type
* @param {object} data Generation data
*/
async function registerFunctionTools(type, data) {
let toolChoice = 'auto';
const tools = [];
/**
* @type {registerFunctionTool}
*/
const registerFunctionTool = (name, description, parameters, required) => {
tools.push({
type: 'function',
function: {
name,
description,
parameters,
},
});
if (required) {
toolChoice = 'required';
}
};
/**
* @type {FunctionToolRegister}
*/
const args = {
type,
data,
registerFunctionTool,
};
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_REGISTER, args);
if (tools.length) {
console.log('Registered function tools:', tools);
data['tools'] = tools;
data['tool_choice'] = toolChoice;
}
}
async function checkFunctionToolCalls(data) {
const oaiCompat = [
chat_completion_sources.OPENAI,
chat_completion_sources.CUSTOM,
chat_completion_sources.MISTRALAI,
chat_completion_sources.OPENROUTER,
chat_completion_sources.GROQ,
];
if (oaiCompat.includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(data?.choices)) {
return;
}
// Find a choice with 0-index
const choice = data.choices.find(choice => choice.index === 0);
if (!choice) {
return;
}
const toolCalls = choice.message.tool_calls;
if (!Array.isArray(toolCalls)) {
return;
}
for (const toolCall of toolCalls) {
if (typeof toolCall.function !== 'object') {
continue;
}
/** @type {FunctionToolCall} */
const args = toolCall.function;
console.log('Function tool call:', toolCall);
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
}
}
if ([chat_completion_sources.CLAUDE].includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(data?.content)) {
return;
}
for (const content of data.content) {
if (content.type === 'tool_use') {
/** @type {FunctionToolCall} */
const args = { name: content.name, arguments: JSON.stringify(content.input) };
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
}
}
}
if ([chat_completion_sources.COHERE].includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(data?.tool_calls)) {
return;
}
for (const toolCall of data.tool_calls) {
/** @type {FunctionToolCall} */
const args = { name: toolCall.name, arguments: JSON.stringify(toolCall.parameters) };
console.log('Function tool call:', toolCall);
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
}
}
}
export function isFunctionCallingSupported() {
if (main_api !== 'openai') {
return false;
}
if (!oai_settings.function_calling) {
return false;
}
const supportedSources = [
chat_completion_sources.OPENAI,
chat_completion_sources.COHERE,
chat_completion_sources.CUSTOM,
chat_completion_sources.MISTRALAI,
chat_completion_sources.CLAUDE,
chat_completion_sources.OPENROUTER,
chat_completion_sources.GROQ,
];
return supportedSources.includes(oai_settings.chat_completion_source);
}
function getStreamingReply(data) {
if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
return data?.delta?.text || '';
@ -4019,7 +3886,7 @@ async function onModelChange() {
$('#openai_max_context').attr('max', max_32k);
} else if (value === 'text-bison-001') {
$('#openai_max_context').attr('max', max_8k);
// The ultra endpoints are possibly dead:
// The ultra endpoints are possibly dead:
} else if (value.includes('gemini-1.0-ultra') || value === 'gemini-ultra') {
$('#openai_max_context').attr('max', max_32k);
} else {

381
public/scripts/tool-calling.js Normal file
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@ -0,0 +1,381 @@
import { chat, main_api } from '../script.js';
import { chat_completion_sources, oai_settings } from './openai.js';
/**
* @typedef {object} ToolInvocation
* @property {string} id - A unique identifier for the tool invocation.
* @property {string} name - The name of the tool.
* @property {string} parameters - The parameters for the tool invocation.
* @property {string} result - The result of the tool invocation.
*/
/**
* A class that represents a tool definition.
*/
class ToolDefinition {
/**
* A unique name for the tool.
* @type {string}
*/
#name;
/**
* A description of what the tool does.
* @type {string}
*/
#description;
/**
* A JSON schema for the parameters that the tool accepts.
* @type {object}
*/
#parameters;
/**
* A function that will be called when the tool is executed.
* @type {function}
*/
#action;
/**
* Creates a new ToolDefinition.
* @param {string} name A unique name for the tool.
* @param {string} description A description of what the tool does.
* @param {object} parameters A JSON schema for the parameters that the tool accepts.
* @param {function} action A function that will be called when the tool is executed.
*/
constructor(name, description, parameters, action) {
this.#name = name;
this.#description = description;
this.#parameters = parameters;
this.#action = action;
}
/**
* Converts the ToolDefinition to an OpenAI API representation
* @returns {object} OpenAI API representation of the tool.
*/
toFunctionOpenAI() {
return {
type: 'function',
function: {
name: this.#name,
description: this.#description,
parameters: this.#parameters,
},
};
}
/**
* Invokes the tool with the given parameters.
* @param {object} parameters The parameters to pass to the tool.
* @returns {Promise<any>} The result of the tool's action function.
*/
async invoke(parameters) {
return await this.#action(parameters);
}
}
/**
* A class that manages the registration and invocation of tools.
*/
export class ToolManager {
/**
* A map of tool names to tool definitions.
* @type {Map<string, ToolDefinition>}
*/
static #tools = new Map();
/**
* Returns an Array of all tools that have been registered.
* @type {ToolDefinition[]}
*/
static get tools() {
return Array.from(this.#tools.values());
}
/**
* Registers a new tool with the tool registry.
* @param {string} name The name of the tool.
* @param {string} description A description of what the tool does.
* @param {object} parameters A JSON schema for the parameters that the tool accepts.
* @param {function} action A function that will be called when the tool is executed.
*/
static registerFunctionTool(name, description, parameters, action) {
if (this.#tools.has(name)) {
console.warn(`A tool with the name "${name}" has already been registered. The definition will be overwritten.`);
}
const definition = new ToolDefinition(name, description, parameters, action);
this.#tools.set(name, definition);
}
/**
* Removes a tool from the tool registry.
* @param {string} name The name of the tool to unregister.
*/
static unregisterFunctionTool(name) {
if (!this.#tools.has(name)) {
console.warn(`No tool with the name "${name}" has been registered.`);
return;
}
this.#tools.delete(name);
}
/**
* Invokes a tool by name. Returns the result of the tool's action function.
* @param {string} name The name of the tool to invoke.
* @param {object} parameters Function parameters. For example, if the tool requires a "name" parameter, you would pass {name: "value"}.
* @returns {Promise<string|null>} The result of the tool's action function. If an error occurs, null is returned. Non-string results are JSON-stringified.
*/
static async invokeFunctionTool(name, parameters) {
try {
if (!this.#tools.has(name)) {
throw new Error(`No tool with the name "${name}" has been registered.`);
}
const invokeParameters = typeof parameters === 'string' ? JSON.parse(parameters) : parameters;
const tool = this.#tools.get(name);
const result = await tool.invoke(invokeParameters);
return typeof result === 'string' ? result : JSON.stringify(result);
} catch (error) {
console.error(`An error occurred while invoking the tool "${name}":`, error);
return null;
}
}
/**
* Register function tools for the next chat completion request.
* @param {object} data Generation data
*/
static async registerFunctionToolsOpenAI(data) {
const tools = [];
for (const tool of ToolManager.tools) {
tools.push(tool.toFunctionOpenAI());
}
if (tools.length) {
console.log('Registered function tools:', tools);
data['tools'] = tools;
data['tool_choice'] = 'auto';
}
}
/**
* Utility function to parse tool calls from a parsed response.
* @param {any[]} toolCalls The tool calls to update.
* @param {any} parsed The parsed response from the OpenAI API.
* @returns {void}
*/
static parseToolCalls(toolCalls, parsed) {
if (!Array.isArray(parsed?.choices)) {
return;
}
for (const choice of parsed.choices) {
const choiceIndex = (typeof choice.index === 'number') ? choice.index : null;
const choiceDelta = choice.delta;
if (choiceIndex === null || !choiceDelta) {
continue;
}
const toolCallDeltas = choiceDelta?.tool_calls;
if (!Array.isArray(toolCallDeltas)) {
continue;
}
if (!Array.isArray(toolCalls[choiceIndex])) {
toolCalls[choiceIndex] = [];
}
for (const toolCallDelta of toolCallDeltas) {
const toolCallIndex = (typeof toolCallDelta?.index === 'number') ? toolCallDelta.index : null;
if (toolCallIndex === null) {
continue;
}
if (toolCalls[choiceIndex][toolCallIndex] === undefined) {
toolCalls[choiceIndex][toolCallIndex] = {};
}
const targetToolCall = toolCalls[choiceIndex][toolCallIndex];
ToolManager.#applyToolCallDelta(targetToolCall, toolCallDelta);
}
}
}
static #applyToolCallDelta(target, delta) {
for (const key in delta) {
if (!delta.hasOwnProperty(key)) continue;
const deltaValue = delta[key];
const targetValue = target[key];
if (deltaValue === null || deltaValue === undefined) {
target[key] = deltaValue;
continue;
}
if (typeof deltaValue === 'string') {
if (typeof targetValue === 'string') {
// Concatenate strings
target[key] = targetValue + deltaValue;
} else {
target[key] = deltaValue;
}
} else if (typeof deltaValue === 'object' && !Array.isArray(deltaValue)) {
if (typeof targetValue !== 'object' || targetValue === null || Array.isArray(targetValue)) {
target[key] = {};
}
// Recursively apply deltas to nested objects
ToolManager.#applyToolCallDelta(target[key], deltaValue);
} else {
// Assign other types directly
target[key] = deltaValue;
}
}
}
static isFunctionCallingSupported() {
if (main_api !== 'openai') {
return false;
}
if (!oai_settings.function_calling) {
return false;
}
const supportedSources = [
chat_completion_sources.OPENAI,
//chat_completion_sources.COHERE,
chat_completion_sources.CUSTOM,
chat_completion_sources.MISTRALAI,
//chat_completion_sources.CLAUDE,
chat_completion_sources.OPENROUTER,
chat_completion_sources.GROQ,
];
return supportedSources.includes(oai_settings.chat_completion_source);
}
static #getToolCallsFromData(data) {
// Parsed tool calls from streaming data
if (Array.isArray(data) && data.length > 0) {
return data[0];
}
// Parsed tool calls from non-streaming data
if (!Array.isArray(data?.choices)) {
return;
}
// Find a choice with 0-index
const choice = data.choices.find(choice => choice.index === 0);
if (!choice) {
return;
}
return choice.message.tool_calls;
}
/**
* Check for function tool calls in the response data and invoke them.
* @param {any} data Reply data
* @returns {Promise<ToolInvocation[]>} Successful tool invocations
*/
static async checkFunctionToolCalls(data) {
if (!ToolManager.isFunctionCallingSupported()) {
return [];
}
/** @type {ToolInvocation[]} */
const invocations = [];
const toolCalls = ToolManager.#getToolCallsFromData(data);
const oaiCompat = [
chat_completion_sources.OPENAI,
chat_completion_sources.CUSTOM,
chat_completion_sources.MISTRALAI,
chat_completion_sources.OPENROUTER,
chat_completion_sources.GROQ,
];
if (oaiCompat.includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(toolCalls)) {
return;
}
for (const toolCall of toolCalls) {
if (typeof toolCall.function !== 'object') {
continue;
}
console.log('Function tool call:', toolCall);
const id = toolCall.id;
const parameters = toolCall.function.arguments;
const name = toolCall.function.name;
toastr.info('Invoking function tool: ' + name);
const result = await ToolManager.invokeFunctionTool(name, parameters);
toastr.info('Function tool result: ' + result);
// Save a successful invocation
if (result) {
invocations.push({ id, name, result, parameters });
}
}
}
/*
if ([chat_completion_sources.CLAUDE].includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(data?.content)) {
return;
}
for (const content of data.content) {
if (content.type === 'tool_use') {
const args = { name: content.name, arguments: JSON.stringify(content.input) };
}
}
}
*/
/*
if ([chat_completion_sources.COHERE].includes(oai_settings.chat_completion_source)) {
if (!Array.isArray(data?.tool_calls)) {
return;
}
for (const toolCall of data.tool_calls) {
const args = { name: toolCall.name, arguments: JSON.stringify(toolCall.parameters) };
console.log('Function tool call:', toolCall);
}
}
*/
return invocations;
}
/**
* Saves function tool invocations to the last user chat message extra metadata.
* @param {ToolInvocation[]} invocations
*/
static saveFunctionToolInvocations(invocations) {
for (let index = chat.length - 1; index >= 0; index--) {
const message = chat[index];
if (message.is_user) {
if (!message.extra || typeof message.extra !== 'object') {
message.extra = {};
}
message.extra.tool_invocations = invocations;
debugger;
break;
}
}
}
}

22
src/endpoints/backends/chat-completions.js
View File

@ -121,18 +121,20 @@ async function sendClaudeRequest(request, response) {
? [{ type: 'text', text: convertedPrompt.systemPrompt, cache_control: { type: 'ephemeral' } }]
: convertedPrompt.systemPrompt;
}
/*
if (Array.isArray(request.body.tools) && request.body.tools.length > 0) {
// Claude doesn't do prefills on function calls, and doesn't allow empty messages
if (convertedPrompt.messages.length && convertedPrompt.messages[convertedPrompt.messages.length - 1].role === 'assistant') {
convertedPrompt.messages.push({ role: 'user', content: '.' });
}
additionalHeaders['anthropic-beta'] = 'tools-2024-05-16';
requestBody.tool_choice = { type: request.body.tool_choice === 'required' ? 'any' : 'auto' };
requestBody.tool_choice = { type: request.body.tool_choice };
requestBody.tools = request.body.tools
.filter(tool => tool.type === 'function')
.map(tool => tool.function)
.map(fn => ({ name: fn.name, description: fn.description, input_schema: fn.parameters }));
}
*/
if (enableSystemPromptCache) {
additionalHeaders['anthropic-beta'] = 'prompt-caching-2024-07-31';
}
@ -479,7 +481,7 @@ async function sendMistralAIRequest(request, response) {
if (Array.isArray(request.body.tools) && request.body.tools.length > 0) {
requestBody['tools'] = request.body.tools;
requestBody['tool_choice'] = request.body.tool_choice === 'required' ? 'any' : 'auto';
requestBody['tool_choice'] = request.body.tool_choice;
}
const config = {
@ -549,11 +551,13 @@ async function sendCohereRequest(request, response) {
});
}
/*
if (Array.isArray(request.body.tools) && request.body.tools.length > 0) {
tools.push(...convertCohereTools(request.body.tools));
// Can't have both connectors and tools in the same request
connectors.splice(0, connectors.length);
}
*/
// https://docs.cohere.com/reference/chat
const requestBody = {
@ -910,18 +914,6 @@ router.post('/generate', jsonParser, function (request, response) {
apiKey = readSecret(request.user.directories, SECRET_KEYS.GROQ);
headers = {};
bodyParams = {};
// 'required' tool choice is not supported by Groq
if (request.body.tool_choice === 'required') {
if (Array.isArray(request.body.tools) && request.body.tools.length > 0) {
request.body.tool_choice = request.body.tools.length > 1
? 'auto' :
{ type: 'function', function: { name: request.body.tools[0]?.function?.name } };
} else {
request.body.tool_choice = 'none';
}
}
} else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.ZEROONEAI) {
apiUrl = API_01AI;
apiKey = readSecret(request.user.directories, SECRET_KEYS.ZEROONEAI);
@ -958,7 +950,7 @@ router.post('/generate', jsonParser, function (request, response) {
controller.abort();
});
if (!isTextCompletion) {
if (!isTextCompletion && Array.isArray(request.body.tools) && request.body.tools.length > 0) {
bodyParams['tools'] = request.body.tools;
bodyParams['tool_choice'] = request.body.tool_choice;
}