mirror of
https://github.com/twentyhq/twenty
synced 2026-04-21 13:37:22 +00:00
feat: upgrade ai package to version six and the corresponding @ai-sdk/* packages to compatible versions (#18172)
Used the migration guide to carry out this upgrade: https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0 I have not been able to test locally due to credits. <img width="220" height="450" alt="image" src="https://github.com/user-attachments/assets/050b34b9-3239-4010-8c47-b43d44571994" /> --------- Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
This commit is contained in:
Abdullah.
GitHub
parent
435e21d23f
commit
9107f5bbc7
19 changed files with 358 additions and 196 deletions
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@ -29,7 +29,7 @@
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"workerDirectory": "public"
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},
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"dependencies": {
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"@ai-sdk/react": "2.0.52",
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"@ai-sdk/react": "3.0.99",
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"@apollo/client": "^3.7.17",
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"@blocknote/mantine": "^0.31.1",
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"@blocknote/react": "^0.31.1",
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@ -72,7 +72,7 @@
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"@tiptap/react": "3.4.2",
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"@types/marked": "^6.0.0",
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"@xyflow/react": "^12.4.2",
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"ai": "5.0.52",
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"ai": "6.0.97",
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"apollo-link-rest": "^0.9.0",
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"apollo-upload-client": "^17.0.0",
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"buffer": "^6.0.3",
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@ -8,7 +8,7 @@ import { ToolStepRenderer } from '@/ai/components/ToolStepRenderer';
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import { groupContiguousThinkingStepParts } from '@/ai/utils/groupContiguousThinkingStepParts';
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import { useTheme } from '@emotion/react';
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import styled from '@emotion/styled';
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import { isToolUIPart } from 'ai';
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import { isStaticToolUIPart } from 'ai';
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import { type ExtendedUIMessagePart } from 'twenty-shared/ai';
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const StyledMessagePartsContainer = styled.div`
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@ -67,7 +67,7 @@ const MessagePartRenderer = ({
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/>
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);
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default:
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if (isToolUIPart(part)) {
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if (isStaticToolUIPart(part) === true) {
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return <ToolStepRenderer toolPart={part} isStreaming={isStreaming} />;
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}
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return null;
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@ -46,10 +46,10 @@ export const RecordLink = ({
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};
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export const RECORD_REFERENCE_REGEX =
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/\[\[record:([a-zA-Z]+):([a-f0-9-]+):([^\]]+)\]\]/g;
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/\[\[(?:record:)?([a-zA-Z]+):([a-f0-9-]+):([^\]]+)\]\]/g;
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export const parseRecordReference = (match: string) => {
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const regex = /\[\[record:([a-zA-Z]+):([a-f0-9-]+):([^\]]+)\]\]/;
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const regex = /\[\[(?:record:)?([a-zA-Z]+):([a-f0-9-]+):([^\]]+)\]\]/;
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const result = regex.exec(match);
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if (!result) {
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@ -1,4 +1,4 @@
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import { isToolUIPart } from 'ai';
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import { isStaticToolUIPart } from 'ai';
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import { type ExtendedUIMessagePart } from 'twenty-shared/ai';
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import { type ThinkingStepPart } from '@/ai/utils/thinkingStepPart';
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@ -10,5 +10,5 @@ export const isThinkingStepPart = (
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return true;
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}
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return isToolUIPart(part) && part.type !== 'tool-code_interpreter';
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return isStaticToolUIPart(part) && part.type !== 'tool-code_interpreter';
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};
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@ -16,13 +16,13 @@
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},
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"dependencies": {
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"@ai-sdk/amazon-bedrock": "^3.0.83",
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"@ai-sdk/anthropic": "^2.0.17",
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"@ai-sdk/google": "^2.0.54",
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"@ai-sdk/groq": "^2.0.34",
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"@ai-sdk/mistral": "^2.0.28",
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"@ai-sdk/openai": "^2.0.30",
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"@ai-sdk/provider-utils": "^3.0.9",
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"@ai-sdk/xai": "^2.0.19",
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"@ai-sdk/anthropic": "^3.0.46",
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"@ai-sdk/google": "^3.0.30",
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"@ai-sdk/groq": "^3.0.24",
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"@ai-sdk/mistral": "^3.0.20",
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"@ai-sdk/openai": "^3.0.30",
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"@ai-sdk/provider-utils": "^4.0.15",
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"@ai-sdk/xai": "^3.0.57",
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"@aws-sdk/client-lambda": "3.983.0",
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"@aws-sdk/client-s3": "3.983.0",
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"@aws-sdk/client-sesv2": "3.983.0",
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@ -81,7 +81,7 @@
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"@sentry/profiling-node": "^10.27.0",
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"@sniptt/guards": "0.2.0",
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"addressparser": "1.0.1",
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"ai": "5.0.52",
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"ai": "6.0.97",
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"apollo-server-core": "3.13.0",
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"archiver": "7.0.1",
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"axios": "^1.13.5",
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@ -158,7 +158,7 @@ export class McpProtocolService {
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preloadedTools,
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MCP_EXCLUDED_TOOLS,
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),
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inputSchema: zodSchema(executeToolInputSchema),
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inputSchema: executeToolInputSchema,
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},
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[LOAD_SKILL_TOOL_NAME]: {
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...createLoadSkillTool((names) =>
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@ -230,7 +230,7 @@ export class ToolExecutorService {
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);
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}
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// The tool's execute expects (args, ToolCallOptions). Pass args with
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// The tool's execute expects (args, ToolExecutionOptions). Pass args with
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// a dummy loadingMessage since the tool's internal strip is harmless.
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return tool.execute(
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{ loadingMessage: '', ...args },
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@ -1,6 +1,6 @@
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import { Inject, Injectable, Logger } from '@nestjs/common';
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import { type ToolCallOptions, type ToolSet, jsonSchema } from 'ai';
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import { type ToolExecutionOptions, type ToolSet, jsonSchema } from 'ai';
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import {
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type NativeToolProvider,
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@ -219,7 +219,7 @@ export class ToolRegistryService {
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toolName: string,
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args: Record<string, unknown>,
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context: ToolContext,
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_options: ToolCallOptions,
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_options: ToolExecutionOptions,
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): Promise<ExecuteToolResult> {
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try {
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const fullContext = this.buildContextFromToolContext(context);
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@ -1,4 +1,5 @@
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import { type ToolCallOptions, type ToolSet } from 'ai';
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import { jsonSchema, type ToolExecutionOptions, type ToolSet } from 'ai';
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import { type JSONSchema7 } from 'json-schema';
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import { z } from 'zod';
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import { type ToolRegistryService } from 'src/engine/core-modules/tool-provider/services/tool-registry.service';
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@ -6,7 +7,7 @@ import { type ToolContext } from 'src/engine/core-modules/tool-provider/types/to
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export const EXECUTE_TOOL_TOOL_NAME = 'execute_tool';
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export const executeToolInputSchema = z.object({
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const executeToolInputZodSchema = z.object({
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toolName: z
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.string()
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.describe('Exact tool name from get_tool_catalog. Do not guess.'),
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@ -15,7 +16,29 @@ export const executeToolInputSchema = z.object({
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.describe('Arguments matching the schema returned by learn_tools.'),
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});
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export type ExecuteToolInput = z.infer<typeof executeToolInputSchema>;
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export type ExecuteToolInput = z.infer<typeof executeToolInputZodSchema>;
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export const executeToolInputSchema = jsonSchema<ExecuteToolInput>(
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() => {
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const schema = z.toJSONSchema(executeToolInputZodSchema, {
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target: 'draft-7',
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io: 'input',
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}) as JSONSchema7;
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schema.additionalProperties = false;
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return schema;
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},
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{
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validate: async (value) => {
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const result = await z.safeParseAsync(executeToolInputZodSchema, value);
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return result.success
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? { success: true, value: result.data }
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: { success: false, error: result.error };
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},
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},
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);
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export type ExecuteToolResult = {
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toolName: string;
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@ -37,7 +60,7 @@ export const createExecuteToolTool = (
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inputSchema: executeToolInputSchema,
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execute: async (
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parameters: ExecuteToolInput,
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options: ToolCallOptions,
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options: ToolExecutionOptions,
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): Promise<ExecuteToolResult> => {
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const { toolName, arguments: args } = parameters;
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@ -2,9 +2,9 @@ import { Injectable, Logger } from '@nestjs/common';
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import { InjectRepository } from '@nestjs/typeorm';
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import {
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generateObject,
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generateText,
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jsonSchema,
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Output,
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stepCountIs,
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type ToolSet,
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} from 'ai';
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@ -20,6 +20,7 @@ import { ToolCategory } from 'src/engine/core-modules/tool-provider/enums/tool-c
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import { ToolRegistryService } from 'src/engine/core-modules/tool-provider/services/tool-registry.service';
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import { type AgentExecutionResult } from 'src/engine/metadata-modules/ai/ai-agent-execution/types/agent-execution-result.type';
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import { extractCacheCreationTokensFromSteps } from 'src/engine/metadata-modules/ai/ai-billing/utils/extract-cache-creation-tokens.util';
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import { mergeLanguageModelUsage } from 'src/engine/metadata-modules/ai/ai-billing/utils/merge-language-model-usage.util';
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import {
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AgentException,
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AgentExceptionCode,
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@ -219,7 +220,7 @@ export class AgentAsyncExecutorService {
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};
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}
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const output = await generateObject({
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const structuredResult = await generateText({
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system: WORKFLOW_SYSTEM_PROMPTS.OUTPUT_GENERATOR,
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model: registeredModel.model,
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prompt: `Based on the following execution results, generate the structured output according to the schema:
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@ -227,23 +228,23 @@ export class AgentAsyncExecutorService {
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Execution Results: ${textResponse.text}
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Please generate the structured output based on the execution results and context above.`,
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schema: jsonSchema(agentSchema),
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output: Output.object({ schema: jsonSchema(agentSchema) }),
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experimental_telemetry: AI_TELEMETRY_CONFIG,
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});
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if (structuredResult.output == null) {
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throw new AgentException(
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'Failed to generate structured output from execution results',
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AgentExceptionCode.AGENT_EXECUTION_FAILED,
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);
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}
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return {
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result: output.object as object,
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usage: {
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inputTokens:
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(textResponse.usage?.inputTokens ?? 0) +
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(output.usage?.inputTokens ?? 0),
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outputTokens:
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(textResponse.usage?.outputTokens ?? 0) +
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(output.usage?.outputTokens ?? 0),
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totalTokens:
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(textResponse.usage?.totalTokens ?? 0) +
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(output.usage?.totalTokens ?? 0),
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},
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result: structuredResult.output as object,
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usage: mergeLanguageModelUsage(
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textResponse.usage,
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structuredResult.usage,
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),
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cacheCreationTokens,
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};
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} catch (error) {
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@ -1,4 +1,4 @@
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import { generateObject, type LanguageModel, NoSuchToolError } from 'ai';
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import { type LanguageModel, NoSuchToolError, Output, generateText } from 'ai';
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import { type z } from 'zod';
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import { AI_TELEMETRY_CONFIG } from 'src/engine/metadata-modules/ai/ai-models/constants/ai-telemetry.const';
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@ -41,9 +41,9 @@ export const repairToolCall = async ({
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}
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try {
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const { object: repairedInput } = await generateObject({
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const { output: repairedInput } = await generateText({
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model,
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schema: schema as z.ZodTypeAny,
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output: Output.object({ schema: schema as z.ZodTypeAny }),
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prompt: [
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`The AI model attempted to call the tool "${toolCall.toolName}" with invalid input.`,
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``,
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@ -62,6 +62,10 @@ export const repairToolCall = async ({
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experimental_telemetry: AI_TELEMETRY_CONFIG,
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});
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if (repairedInput == null) {
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return null;
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}
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return {
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type: 'tool-call',
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toolCallId: toolCall.toolCallId,
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@ -38,10 +38,20 @@ describe('AIBillingService', () => {
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cacheCreationCostPerMillionTokens: 3.75,
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};
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const defaultTokenDetails = {
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inputTokenDetails: {
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noCacheTokens: 0,
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cacheReadTokens: 0,
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cacheWriteTokens: 0,
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},
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outputTokenDetails: { textTokens: 0, reasoningTokens: 0 },
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};
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const mockTokenUsage = {
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inputTokens: 1000,
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outputTokens: 500,
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totalTokens: 1500,
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...defaultTokenDetails,
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};
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beforeEach(async () => {
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@ -92,7 +102,12 @@ describe('AIBillingService', () => {
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inputTokens: 1000,
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outputTokens: 500,
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totalTokens: 1500,
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cachedInputTokens: 600,
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inputTokenDetails: {
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noCacheTokens: 400,
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cacheReadTokens: 600,
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cacheWriteTokens: 0,
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},
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outputTokenDetails: { textTokens: 500, reasoningTokens: 0 },
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},
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});
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@ -118,7 +133,12 @@ describe('AIBillingService', () => {
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inputTokens: 400,
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outputTokens: 500,
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totalTokens: 900,
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cachedInputTokens: 600,
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inputTokenDetails: {
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noCacheTokens: 400,
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cacheReadTokens: 600,
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cacheWriteTokens: 0,
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},
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outputTokenDetails: { textTokens: 500, reasoningTokens: 0 },
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},
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cacheCreationTokens: 200,
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},
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@ -139,7 +159,12 @@ describe('AIBillingService', () => {
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inputTokens: 1000,
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outputTokens: 500,
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totalTokens: 2000,
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reasoningTokens: 500,
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inputTokenDetails: {
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noCacheTokens: 0,
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cacheReadTokens: 0,
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cacheWriteTokens: 0,
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},
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outputTokenDetails: { textTokens: 0, reasoningTokens: 500 },
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},
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});
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@ -152,6 +177,42 @@ describe('AIBillingService', () => {
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expect(costInDollars).toBeCloseTo(0.0075);
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});
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it('should use outputTokenDetails.reasoningTokens when present (SDK-aligned shape)', () => {
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const costInDollars = service.calculateCost('gpt-4o', {
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usage: {
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inputTokens: 1000,
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outputTokens: 500,
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totalTokens: 2000,
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inputTokenDetails: {
|
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noCacheTokens: 0,
|
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cacheReadTokens: 0,
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cacheWriteTokens: 0,
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},
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outputTokenDetails: { textTokens: 0, reasoningTokens: 500 },
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},
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});
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expect(costInDollars).toBeCloseTo(0.0075);
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});
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it('should use inputTokenDetails.cacheReadTokens when present (SDK-aligned shape)', () => {
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const costInDollars = service.calculateCost('gpt-4o', {
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usage: {
|
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inputTokens: 1000,
|
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outputTokens: 500,
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totalTokens: 1500,
|
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inputTokenDetails: {
|
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noCacheTokens: 400,
|
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cacheReadTokens: 600,
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cacheWriteTokens: 0,
|
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},
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outputTokenDetails: { textTokens: 500, reasoningTokens: 0 },
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},
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});
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expect(costInDollars).toBeCloseTo(0.00675);
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});
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|
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it('should fall back to input rate when cachedInputCostPerMillionTokens is undefined', () => {
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mockAiModelRegistryService.getEffectiveModelConfig.mockReturnValue({
|
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...openaiModelConfig,
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|
|
@ -163,7 +224,12 @@ describe('AIBillingService', () => {
|
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inputTokens: 1000,
|
||||
outputTokens: 500,
|
||||
totalTokens: 1500,
|
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cachedInputTokens: 600,
|
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inputTokenDetails: {
|
||||
noCacheTokens: 400,
|
||||
cacheReadTokens: 600,
|
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cacheWriteTokens: 0,
|
||||
},
|
||||
outputTokenDetails: { textTokens: 500, reasoningTokens: 0 },
|
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},
|
||||
});
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|
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|
|
@ -202,6 +268,12 @@ describe('AIBillingService', () => {
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outputTokens: 1000,
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totalTokens: 251_000,
|
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cachedInputTokens: 100_000,
|
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inputTokenDetails: {
|
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noCacheTokens: 0,
|
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cacheReadTokens: 100_000,
|
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cacheWriteTokens: 0,
|
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},
|
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outputTokenDetails: { textTokens: 1000, reasoningTokens: 0 },
|
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},
|
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},
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);
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|
|
@ -240,6 +312,7 @@ describe('AIBillingService', () => {
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inputTokens: 50_000,
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outputTokens: 1000,
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totalTokens: 51_000,
|
||||
...defaultTokenDetails,
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},
|
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},
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);
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|
|
|
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|
|
@ -37,8 +37,8 @@ export class AIBillingService {
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const breakdown = computeCostBreakdown(model, {
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inputTokens: usage.inputTokens,
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outputTokens: usage.outputTokens,
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reasoningTokens: usage.reasoningTokens,
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cachedInputTokens: usage.cachedInputTokens,
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reasoningTokens: usage.outputTokenDetails?.reasoningTokens,
|
||||
cachedInputTokens: usage.inputTokenDetails?.cacheReadTokens,
|
||||
cacheCreationTokens,
|
||||
});
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,29 @@
|
|||
import { type LanguageModelUsage } from 'ai';
|
||||
|
||||
const sum = (a: number | undefined, b: number | undefined): number =>
|
||||
(a ?? 0) + (b ?? 0);
|
||||
|
||||
export const mergeLanguageModelUsage = (
|
||||
a: LanguageModelUsage,
|
||||
b: LanguageModelUsage,
|
||||
): LanguageModelUsage => {
|
||||
const inA = a.inputTokenDetails;
|
||||
const inB = b.inputTokenDetails;
|
||||
const outA = a.outputTokenDetails;
|
||||
const outB = b.outputTokenDetails;
|
||||
|
||||
return {
|
||||
inputTokens: sum(a.inputTokens, b.inputTokens),
|
||||
outputTokens: sum(a.outputTokens, b.outputTokens),
|
||||
totalTokens: sum(a.totalTokens, b.totalTokens),
|
||||
inputTokenDetails: {
|
||||
noCacheTokens: sum(inA?.noCacheTokens, inB?.noCacheTokens),
|
||||
cacheReadTokens: sum(inA?.cacheReadTokens, inB?.cacheReadTokens),
|
||||
cacheWriteTokens: sum(inA?.cacheWriteTokens, inB?.cacheWriteTokens),
|
||||
},
|
||||
outputTokenDetails: {
|
||||
textTokens: sum(outA?.textTokens, outB?.textTokens),
|
||||
reasoningTokens: sum(outA?.reasoningTokens, outB?.reasoningTokens),
|
||||
},
|
||||
};
|
||||
};
|
||||
|
|
@ -131,7 +131,8 @@ export class AgentChatStreamingService {
|
|||
messageMetadata: ({ part }) => {
|
||||
if (part.type === 'finish-step') {
|
||||
const stepInput = part.usage?.inputTokens ?? 0;
|
||||
const stepCached = part.usage?.cachedInputTokens ?? 0;
|
||||
const stepCached =
|
||||
part.usage?.inputTokenDetails?.cacheReadTokens ?? 0;
|
||||
const stepCacheCreation = extractCacheCreationTokens(
|
||||
(
|
||||
part as {
|
||||
|
|
@ -245,8 +246,8 @@ function computeStreamCosts(
|
|||
| {
|
||||
inputTokens?: number;
|
||||
outputTokens?: number;
|
||||
cachedInputTokens?: number;
|
||||
reasoningTokens?: number;
|
||||
inputTokenDetails?: { cacheReadTokens?: number };
|
||||
outputTokenDetails?: { reasoningTokens?: number };
|
||||
}
|
||||
| undefined,
|
||||
cacheCreationTokens: number,
|
||||
|
|
@ -254,8 +255,8 @@ function computeStreamCosts(
|
|||
const breakdown = computeCostBreakdown(modelConfig, {
|
||||
inputTokens: totalUsage?.inputTokens,
|
||||
outputTokens: totalUsage?.outputTokens,
|
||||
cachedInputTokens: totalUsage?.cachedInputTokens,
|
||||
reasoningTokens: totalUsage?.reasoningTokens,
|
||||
cachedInputTokens: totalUsage?.inputTokenDetails?.cacheReadTokens,
|
||||
reasoningTokens: totalUsage?.outputTokenDetails?.reasoningTokens,
|
||||
cacheCreationTokens,
|
||||
});
|
||||
|
||||
|
|
|
|||
|
|
@ -124,8 +124,6 @@ export class ChatExecutionService {
|
|||
toolContext,
|
||||
);
|
||||
|
||||
const preloadedToolNames = Object.keys(preloadedTools);
|
||||
|
||||
const modelId = workspace.smartModel;
|
||||
|
||||
this.aiModelRegistryService.validateModelAvailability(modelId, workspace);
|
||||
|
|
@ -139,13 +137,21 @@ export class ChatExecutionService {
|
|||
registeredModel.modelId,
|
||||
);
|
||||
|
||||
const { tools: nativeSearchTools, callableToolNames: searchToolNames } =
|
||||
this.getNativeWebSearchTools(registeredModel.inferenceProvider);
|
||||
|
||||
// Direct tools: native provider tools + preloaded tools.
|
||||
// These are callable directly AND as fallback through execute_tool.
|
||||
const directTools: ToolSet = {
|
||||
...wrapToolsWithOutputSerialization(preloadedTools),
|
||||
...this.getNativeWebSearchTool(registeredModel.inferenceProvider),
|
||||
...nativeSearchTools,
|
||||
};
|
||||
|
||||
const preloadedToolNames = [
|
||||
...Object.keys(preloadedTools),
|
||||
...searchToolNames,
|
||||
];
|
||||
|
||||
// ToolSet is constant for the entire conversation — no mutation.
|
||||
// learn_tools returns schemas as text; execute_tool dispatches to cached tools.
|
||||
const activeTools: ToolSet = {
|
||||
|
|
@ -205,9 +211,11 @@ export class ChatExecutionService {
|
|||
: undefined,
|
||||
};
|
||||
|
||||
const modelMessages = await convertToModelMessages(processedMessages);
|
||||
|
||||
const stream = streamText({
|
||||
model: registeredModel.model,
|
||||
messages: [systemMessage, ...convertToModelMessages(processedMessages)],
|
||||
messages: [systemMessage, ...modelMessages],
|
||||
tools: activeTools,
|
||||
stopWhen: stepCountIs(AGENT_CONFIG.MAX_STEPS),
|
||||
experimental_telemetry: AI_TELEMETRY_CONFIG,
|
||||
|
|
@ -318,33 +326,46 @@ export class ChatExecutionService {
|
|||
return context;
|
||||
}
|
||||
|
||||
private getNativeWebSearchTool(
|
||||
inferenceProvider: InferenceProvider,
|
||||
): ToolSet {
|
||||
private getNativeWebSearchTools(inferenceProvider: InferenceProvider): {
|
||||
tools: ToolSet;
|
||||
callableToolNames: string[];
|
||||
} {
|
||||
switch (inferenceProvider) {
|
||||
case InferenceProvider.ANTHROPIC:
|
||||
return { web_search: anthropic.tools.webSearch_20250305() };
|
||||
return {
|
||||
tools: { web_search: anthropic.tools.webSearch_20250305() },
|
||||
callableToolNames: ['web_search'],
|
||||
};
|
||||
case InferenceProvider.BEDROCK: {
|
||||
const bedrockProvider =
|
||||
this.aiModelRegistryService.getBedrockProvider();
|
||||
|
||||
if (bedrockProvider) {
|
||||
return {
|
||||
web_search:
|
||||
bedrockProvider.tools.webSearch_20250305() as ToolSet[string],
|
||||
tools: {
|
||||
web_search:
|
||||
bedrockProvider.tools.webSearch_20250305() as ToolSet[string],
|
||||
},
|
||||
callableToolNames: ['web_search'],
|
||||
};
|
||||
}
|
||||
|
||||
return {};
|
||||
return { tools: {}, callableToolNames: [] };
|
||||
}
|
||||
case InferenceProvider.OPENAI:
|
||||
return { web_search: openai.tools.webSearch() };
|
||||
return {
|
||||
tools: { web_search: openai.tools.webSearch() },
|
||||
callableToolNames: ['web_search'],
|
||||
};
|
||||
case InferenceProvider.GROQ:
|
||||
return {
|
||||
web_search: groq.tools.browserSearch({}) as ToolSet[string],
|
||||
tools: {
|
||||
web_search: groq.tools.browserSearch({}) as ToolSet[string],
|
||||
},
|
||||
callableToolNames: [],
|
||||
};
|
||||
default:
|
||||
return {};
|
||||
return { tools: {}, callableToolNames: [] };
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -246,6 +246,7 @@ ${skillsList}`;
|
|||
preloadedTools: string[],
|
||||
): string {
|
||||
const preloadedSet = new Set(preloadedTools);
|
||||
const hasWebSearch = preloadedSet.has('web_search');
|
||||
|
||||
const toolsByCategory = new Map<string, ToolIndexEntry[]>();
|
||||
|
||||
|
|
@ -259,6 +260,14 @@ ${skillsList}`;
|
|||
|
||||
const sections: string[] = [];
|
||||
|
||||
const webSearchLine = hasWebSearch
|
||||
? `- \`web_search\` ✓: Search the web for real-time information (ALWAYS use this for current data, news, research)`
|
||||
: `- Web search is automatically available — the model will search the web when needed. Do NOT call \`web_search\` as a tool.`;
|
||||
|
||||
const otherPreloadedTools = preloadedTools.filter(
|
||||
(name) => name !== 'web_search',
|
||||
);
|
||||
|
||||
sections.push(`
|
||||
## Available Tools
|
||||
|
||||
|
|
@ -266,8 +275,8 @@ You have access to ${toolCatalog.length} tools plus native web search. Some are
|
|||
To use any other tool, first call \`${LEARN_TOOLS_TOOL_NAME}\` to learn its schema, then call \`${EXECUTE_TOOL_TOOL_NAME}\` to run it.
|
||||
|
||||
### Pre-loaded Tools (ready to use now)
|
||||
- \`web_search\` ✓: Search the web for real-time information (ALWAYS use this for current data, news, research)
|
||||
${preloadedTools.length > 0 ? preloadedTools.map((toolName) => `- \`${toolName}\` ✓`).join('\n') : ''}
|
||||
${webSearchLine}
|
||||
${otherPreloadedTools.length > 0 ? otherPreloadedTools.map((toolName) => `- \`${toolName}\` ✓`).join('\n') : ''}
|
||||
|
||||
### Tool Catalog by Category`);
|
||||
|
||||
|
|
@ -301,11 +310,14 @@ ${tools
|
|||
.join('\n')}`);
|
||||
}
|
||||
|
||||
const webSearchInstruction = hasWebSearch
|
||||
? `1. **Web search** (\`web_search\`): Use for ANY request requiring current/real-time information from the internet\n`
|
||||
: '';
|
||||
|
||||
sections.push(`
|
||||
### How to Use Tools
|
||||
1. **Web search** (\`web_search\`): Use for ANY request requiring current/real-time information from the internet
|
||||
2. **Pre-loaded tools** (marked with ✓): Use directly
|
||||
3. **Other tools**: First call \`${LEARN_TOOLS_TOOL_NAME}({toolNames: ["tool_name"]})\` to learn the schema, then call \`${EXECUTE_TOOL_TOOL_NAME}({toolName: "tool_name", arguments: {...}})\` to run it`);
|
||||
${webSearchInstruction}${hasWebSearch ? '2' : '1'}. **Pre-loaded tools** (marked with ✓): Use directly
|
||||
${hasWebSearch ? '3' : '2'}. **Other tools**: First call \`${LEARN_TOOLS_TOOL_NAME}({toolNames: ["tool_name"]})\` to learn the schema, then call \`${EXECUTE_TOOL_TOOL_NAME}({toolName: "tool_name", arguments: {...}})\` to run it`);
|
||||
|
||||
return sections.join('\n');
|
||||
}
|
||||
|
|
|
|||
|
|
@ -35,7 +35,7 @@ export class AiService {
|
|||
maxOutputTokens?: number;
|
||||
model: LanguageModel;
|
||||
};
|
||||
}) {
|
||||
}): ReturnType<typeof streamText> {
|
||||
return streamText({
|
||||
model: options.model,
|
||||
messages,
|
||||
|
|
|
|||
244
yarn.lock
244
yarn.lock
|
|
@ -52,100 +52,88 @@ __metadata:
|
|||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/anthropic@npm:^2.0.17":
|
||||
version: 2.0.17
|
||||
resolution: "@ai-sdk/anthropic@npm:2.0.17"
|
||||
"@ai-sdk/anthropic@npm:^3.0.46":
|
||||
version: 3.0.46
|
||||
resolution: "@ai-sdk/anthropic@npm:3.0.46"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.0"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.9"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4
|
||||
checksum: 10c0/783b6a953f3854c4303ad7c30dd56d4706486c7d1151adb17071d87933418c59c26bce53d5c26d34c4d4728eaac4a856ce49a336caed26a7216f982fea562814
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/gateway@npm:1.0.29":
|
||||
version: 1.0.29
|
||||
resolution: "@ai-sdk/gateway@npm:1.0.29"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.0"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.9"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4
|
||||
checksum: 10c0/43d2f9a980e130728be66beb16efac1b17656bb915ced7df3ee67ff5087270dc3e43101ad2f1f71a3942c71cc338a2109e20278dd2b93004c2ef8e6443f3d906
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/google@npm:^2.0.54":
|
||||
version: 2.0.54
|
||||
resolution: "@ai-sdk/google@npm:2.0.54"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.1"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.21"
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/d1f244924b6f0484c2c683b189f4e64c8667814b16291fad12935432e7e89d5921351d69ab1971457fabb51e7239eb2f56a1da6ff2f46a86e4ce23b0bb12f019
|
||||
checksum: 10c0/00b20d3ec8c9948c28603be4261f67c257dbd5469e60c325dd38f559079175464da81cdb25afb0e9bdcc1de7e7179bca6142fd561bc0add645f0468cf8ca761c
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/groq@npm:^2.0.34":
|
||||
version: 2.0.34
|
||||
resolution: "@ai-sdk/groq@npm:2.0.34"
|
||||
"@ai-sdk/gateway@npm:3.0.53":
|
||||
version: 3.0.53
|
||||
resolution: "@ai-sdk/gateway@npm:3.0.53"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.1"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.20"
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
"@vercel/oidc": "npm:3.1.0"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/1e1ad69db49e1b06f18f2e7181f8a094afc275bb9cd96edc614303ff0a86945ba0c25adcf3d2ccbf398eb275d9348fc6224ba8af60009a9a9e23bb25dc718a5f
|
||||
checksum: 10c0/15c67829d3dffb43e72e5060ccd0202444e032a7414ca28f1f122760c5f21e41b045b48c7d433c630198c9f149fcc4a6560c3a5e5b82069d882d8cf4e77c903b
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/mistral@npm:^2.0.28":
|
||||
version: 2.0.28
|
||||
resolution: "@ai-sdk/mistral@npm:2.0.28"
|
||||
"@ai-sdk/google@npm:^3.0.30":
|
||||
version: 3.0.30
|
||||
resolution: "@ai-sdk/google@npm:3.0.30"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.1"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.21"
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/dd993fe477da8e053c68e162a52f0fcbf7671b2a0f8dd4b9a9db57fe780f17cd7ef2b08512e85b0b97a5622f57e085000c56aab102cf381bba1e0e5043c67306
|
||||
checksum: 10c0/b90eb00b3a85b3e17d648c01d5d5cc3289a737a84ef6f6b3249ffdce2ffe0ed48120b682ba040f341193ac8e48ebedead06fd22f0596774def1dd62fb551c9b8
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/openai-compatible@npm:1.0.30":
|
||||
version: 1.0.30
|
||||
resolution: "@ai-sdk/openai-compatible@npm:1.0.30"
|
||||
"@ai-sdk/groq@npm:^3.0.24":
|
||||
version: 3.0.24
|
||||
resolution: "@ai-sdk/groq@npm:3.0.24"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.1"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.20"
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/f08b69afa5b3a2cc4e0cce75d86f78dc01ea0732e2f9a252c5fc63b14e6625b5def98dfa5a8aa95d08d490d7a8ede7f56862ac3337b1d1929b6a85fef4743624
|
||||
checksum: 10c0/10e2b017f52006fcbcd4c46b78a3f02e3b3df3f337982d1669785df1492ca9a8793276403c5bff2c59bfd11ff1f6c58bcc1d3c49738bffd7ba13f527e85137b6
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/openai@npm:^2.0.30":
|
||||
version: 2.0.30
|
||||
resolution: "@ai-sdk/openai@npm:2.0.30"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.0"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.9"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4
|
||||
checksum: 10c0/90a57c1b10dac46c0bbe7e16cf9202557fb250d9f0e94a2a5fb7d95b5ea77815a56add78b00238d3823f0313c9b2c42abe865478d28a6196f72b341d32dd40af
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||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/provider-utils@npm:3.0.20":
|
||||
"@ai-sdk/mistral@npm:^3.0.20":
|
||||
version: 3.0.20
|
||||
resolution: "@ai-sdk/provider-utils@npm:3.0.20"
|
||||
resolution: "@ai-sdk/mistral@npm:3.0.20"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:2.0.1"
|
||||
"@standard-schema/spec": "npm:^1.0.0"
|
||||
eventsource-parser: "npm:^3.0.6"
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/bbc92b088e76a1e98d28f8c20d02b899eb7ba23e8ba575c05383fcaf9c50e98e20ffa5a0a94a935cc1b2fee61c2411cc41de11a2a625b4c1647659603f91c29d
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||||
checksum: 10c0/32caf651dae8a0fb7b7faceb8706e711404a32bc21aea94fe6bcbbe6adb09c31fc6563efd28547bdcbbfe99165145ec73fe83f4b54bd75f290b6020cc9834bc7
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/openai-compatible@npm:2.0.30":
|
||||
version: 2.0.30
|
||||
resolution: "@ai-sdk/openai-compatible@npm:2.0.30"
|
||||
dependencies:
|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4.1.8
|
||||
checksum: 10c0/650d926223826bead721cf7d2bbdfb311debaaaa83a04b220b28a93ff99abc7c4914d0aa9a23441c396da00a41a214891a8e1ddfef7f4de320238947a28a8bb7
|
||||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"@ai-sdk/openai@npm:^3.0.30":
|
||||
version: 3.0.30
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
|
||||
|
|
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|||
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||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
|
|
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|||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
dependencies:
|
||||
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|
||||
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|
||||
swr: "npm:^2.2.5"
|
||||
throttleit: "npm:2.1.0"
|
||||
peerDependencies:
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
swr: "npm:^2.2.5"
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||||
throttleit: "npm:2.1.0"
|
||||
peerDependencies:
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||||
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||||
dependencies:
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||||
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|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
peerDependencies:
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|
|
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|||
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|
||||
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version: 0.3.0
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resolution: "@standard-schema/utils@npm:0.3.0"
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||||
|
|
@ -25960,6 +25951,13 @@ __metadata:
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|||
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|
||||
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|
||||
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|
||||
version: 4.2.3
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resolution: "@vitejs/plugin-react-swc@npm:4.2.3"
|
||||
|
|
@ -28181,17 +28179,17 @@ __metadata:
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|||
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||||
linkType: hard
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||||
|
||||
"ai@npm:5.0.52":
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||||
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||||
resolution: "ai@npm:5.0.52"
|
||||
"ai@npm:6.0.97":
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||||
resolution: "ai@npm:6.0.97"
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||||
dependencies:
|
||||
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|
||||
"@ai-sdk/provider": "npm:2.0.0"
|
||||
"@ai-sdk/provider-utils": "npm:3.0.9"
|
||||
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|
||||
"@ai-sdk/provider": "npm:3.0.8"
|
||||
"@ai-sdk/provider-utils": "npm:4.0.15"
|
||||
"@opentelemetry/api": "npm:1.9.0"
|
||||
peerDependencies:
|
||||
zod: ^3.25.76 || ^4
|
||||
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||||
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||||
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||||
linkType: hard
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||||
|
||||
|
|
@ -36607,7 +36605,7 @@ __metadata:
|
|||
languageName: node
|
||||
linkType: hard
|
||||
|
||||
"eventsource-parser@npm:^3.0.5, eventsource-parser@npm:^3.0.6":
|
||||
"eventsource-parser@npm:^3.0.6":
|
||||
version: 3.0.6
|
||||
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|
||||
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|
||||
|
|
@ -58598,7 +58596,7 @@ __metadata:
|
|||
version: 0.0.0-use.local
|
||||
resolution: "twenty-front@workspace:packages/twenty-front"
|
||||
dependencies:
|
||||
"@ai-sdk/react": "npm:2.0.52"
|
||||
"@ai-sdk/react": "npm:3.0.99"
|
||||
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|
||||
"@blocknote/mantine": "npm:^0.31.1"
|
||||
"@blocknote/react": "npm:^0.31.1"
|
||||
|
|
@ -58653,7 +58651,7 @@ __metadata:
|
|||
"@typescript-eslint/eslint-plugin": "npm:^8.39.0"
|
||||
"@typescript-eslint/utils": "npm:^8.39.0"
|
||||
"@xyflow/react": "npm:^12.4.2"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
buffer: "npm:^6.0.3"
|
||||
|
|
@ -58791,13 +58789,13 @@ __metadata:
|
|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"@ai-sdk/groq": "npm:^2.0.34"
|
||||
"@ai-sdk/mistral": "npm:^2.0.28"
|
||||
"@ai-sdk/openai": "npm:^2.0.30"
|
||||
"@ai-sdk/provider-utils": "npm:^3.0.9"
|
||||
"@ai-sdk/xai": "npm:^2.0.19"
|
||||
"@ai-sdk/anthropic": "npm:^3.0.46"
|
||||
"@ai-sdk/google": "npm:^3.0.30"
|
||||
"@ai-sdk/groq": "npm:^3.0.24"
|
||||
"@ai-sdk/mistral": "npm:^3.0.20"
|
||||
"@ai-sdk/openai": "npm:^3.0.30"
|
||||
"@ai-sdk/provider-utils": "npm:^4.0.15"
|
||||
"@ai-sdk/xai": "npm:^3.0.57"
|
||||
"@aws-sdk/client-lambda": "npm:3.983.0"
|
||||
"@aws-sdk/client-s3": "npm:3.983.0"
|
||||
"@aws-sdk/client-sesv2": "npm:3.983.0"
|
||||
|
|
@ -58893,7 +58891,7 @@ __metadata:
|
|||
"@types/unzipper": "npm:^0"
|
||||
"@yarnpkg/types": "npm:^4.0.0"
|
||||
addressparser: "npm:1.0.1"
|
||||
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|
||||
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|
||||
apollo-server-core: "npm:3.13.0"
|
||||
archiver: "npm:7.0.1"
|
||||
axios: "npm:^1.13.5"
|
||||
|
|
|
|||
Loading…
Reference in a new issue