diff --git a/.config/samples-config-v3.json b/.config/samples-config-v3.json index 77c525690..6134b2fa6 100644 --- a/.config/samples-config-v3.json +++ b/.config/samples-config-v3.json @@ -893,6 +893,75 @@ "thumbnailPath": "assets/sampleResponse.png", "gifPath": "assets/sampleResponse.png", "suggested": false + }, + { + "id": "coffee-agent", + "shortId": "coffee-agent", + "onboardDate": "2025-10-31", + "title": "Coffee Agent", + "shortDescription": "Originally from our Build 2025 Lab - simple coffee agent demonstration.", + "fullDescription": "This sample is built with the Microsoft Teams SDK, and showcases how easy it is to use activity handlers, adaptive cards, and AI to create a fun, interactive bot with just a few building blocks.", + "types": [ + "Custom Engine Agent" + ], + "tags": [ + "TS", + "Custom Engine Agent", + "Adaptive Cards", + "Microsoft Teams SDK" + ], + "time": "5 mins to run", + "configuration": "Manual configurations required", + "thumbnailPath": "assets/coffee-agent-thumbnail.png", + "gifPath": "assets/coffee-agent-thumbnail.png", + "suggested": false + }, + { + "id": "collaborator-agent", + "shortId": "collaborator-agent", + "onboardDate": "2025-10-31", + "title": "Collaborator Agent", + "shortDescription": "Collaboration agent with advanced conversation analysis and task management capabilities.", + "fullDescription": "This sample is built with the Microsoft Teams SDK, and showcases how to create an intelligent collaboration assistant that can analyze conversations, manage action items, and search through chat history using natural language processing and time-based queries.", + "types": [ + "Custom Engine Agent" + ], + "tags": [ + "TS", + "Custom Engine Agent", + "Conversation Analysis", + "Task Management", + "Microsoft Teams SDK" + ], + "time": "10 mins to run", + "configuration": "Manual configurations required", + "thumbnailPath": "assets/collaborator-agent-thumbnail.png", + "gifPath": "assets/collaborator-agent-thumbnail.png", + "suggested": false + }, + { + "id": "data-analyst-agent-v2", + "shortId": "data-analyst-v2", + "onboardDate": "2025-10-31", + "title": "Data Analyst Agent v2", + "shortDescription": "Natural language interface for data exploration and visualization.", + "fullDescription": "This sample demonstrates how to build an AI-powered data analyst agent using Microsoft Teams SDK that can be integrated into Microsoft Teams. It helps users explore and visualize data through natural language conversations and Adaptive Cards charts.", + "types": [ + "Custom Engine Agent" + ], + "tags": [ + "TS", + "Custom Engine Agent", + "Data Visualization", + "Adaptive Cards", + "LLM SQL", + "Microsoft Teams SDK" + ], + "time": "10 mins to run", + "configuration": "Manual configurations required", + "thumbnailPath": "assets/demo.gif", + "gifPath": "assets/demo.gif", + "suggested": false } ] } \ No newline at end of file diff --git a/coffee-agent/.gitignore b/coffee-agent/.gitignore new file mode 100644 index 000000000..516cb5ca6 --- /dev/null +++ b/coffee-agent/.gitignore @@ -0,0 +1,6 @@ +env +node_modules/ +.env +appPackage/build +.localConfigs +.localConfigs.playground \ No newline at end of file diff --git a/coffee-agent/.vscode/launch.json b/coffee-agent/.vscode/launch.json new file mode 100644 index 000000000..2999c0d42 --- /dev/null +++ b/coffee-agent/.vscode/launch.json @@ -0,0 +1,95 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Launch Remote (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 1 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch Remote (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 2 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Attach to Local Service", + "type": "node", + "request": "attach", + "port": 9239, + "restart": true, + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + } + ], + "compounds": [ + { + "name": "Debug (Edge)", + "configurations": ["Launch App (Edge)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 1 + }, + "stopAll": true + }, + { + "name": "Debug (Chrome)", + "configurations": ["Launch App (Chrome)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 2 + }, + "stopAll": true + }, + { + "name": "Debug in Microsoft 365 Agents Playground", + "configurations": ["Attach to Local Service"], + "preLaunchTask": "Start App in Microsoft 365 Agents Playground", + "presentation": { + "group": "local", + "order": 1 + }, + "stopAll": true + } + ] +} diff --git a/coffee-agent/.vscode/tasks.json b/coffee-agent/.vscode/tasks.json new file mode 100644 index 000000000..864fdca64 --- /dev/null +++ b/coffee-agent/.vscode/tasks.json @@ -0,0 +1,204 @@ +// This file is automatically generated by Teams Toolkit. +// The teamsfx tasks defined in this file require Teams Toolkit version >= 5.0.0. +// See https://aka.ms/teamsfx-tasks for details on how to customize each task. +{ + "version": "2.0.0", + "tasks": [ + { + "label": "Start App Locally", + "dependsOn": [ + "Validate prerequisites", + "Start local tunnel", + "Provision", + "Deploy", + "Start application" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "m365Account", // Sign-in prompt for Microsoft 365 account, then validate if the account enables the sideloading permission. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239 // app inspector port for Node.js debugger + ] + } + }, + { + // Start the local tunnel service to forward public URL to local port and inspect traffic. + // See https://aka.ms/teamsfx-tasks/local-tunnel for the detailed args definitions. + "label": "Start local tunnel", + "type": "teamsfx", + "command": "debug-start-local-tunnel", + "args": { + "type": "dev-tunnel", + "ports": [ + { + "portNumber": 3978, + "protocol": "http", + "access": "public", + "writeToEnvironmentFile": { + "endpoint": "BOT_ENDPOINT", // output tunnel endpoint as BOT_ENDPOINT + "domain": "BOT_DOMAIN" // output tunnel domain as BOT_DOMAIN + } + } + ], + "env": "local" + }, + "isBackground": true, + "problemMatcher": "$teamsfx-local-tunnel-watch" + }, + { + // Create the debug resources. + // See https://aka.ms/teamsfx-tasks/provision to know the details and how to customize the args. + "label": "Provision", + "type": "teamsfx", + "command": "provision", + "args": { + "env": "local" + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "local" + } + }, + { + "label": "Start application", + "type": "shell", + "command": "npm run dev:teamsfx", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start App in Microsoft 365 Agents Playground", + "dependsOn": [ + "Validate prerequisites (Microsoft 365 Agents Playground)", + "Deploy (Microsoft 365 Agents Playground)", + "Start application (Microsoft 365 Agents Playground)", + "Start Microsoft 365 Agents Playground" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239, // app inspector port for Node.js debugger + 56150 // Microsoft 365 Agents Playground port + ] + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "playground" + } + }, + { + "label": "Start application (Microsoft 365 Agents Playground)", + "type": "shell", + "command": "npm run dev:teamsfx:playground", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start Microsoft 365 Agents Playground", + "type": "shell", + "command": "npm run dev:teamsfx:launch-playground", + "isBackground": true, + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/playground/node_modules/.bin:${env:PATH}" + } + }, + "windows": { + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/playground/node_modules/.bin;${env:PATH}" + } + } + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": ".*", + "endsPattern": "Listening on" + } + }, + "presentation": { + "panel": "dedicated", + "reveal": "silent" + } + } + ] +} diff --git a/coffee-agent/README.md b/coffee-agent/README.md new file mode 100644 index 000000000..b583bac9c --- /dev/null +++ b/coffee-agent/README.md @@ -0,0 +1,80 @@ +# Getting Started with Coffee Agent + +Originally from our Build 2025 Lab, this sample is built with the [Microsoft Teams SDK](https://aka.ms/teamsai-v2), and showcases how easy it is to use activity handlers, adaptive cards, and AI to create a fun, interactive bot with just a few building blocks. + +This Coffee Agent helps teams coordinate their daily coffee orders by randomly selecting coffee shops and orderers, managing team coffee orders, and maintaining information about available coffee shops and their offerings. It's perfect for teams that want to streamline their coffee coordination process while having fun with their daily caffeine routine. + +![Coffee Agent Demo](assets/coffee-agent-thumbnail.png) + +## This sample illustrates +- Use Microsoft 365 Agents Toolkit to create an AI-powered Teams bot +- Use Microsoft Teams SDK for activity handlers and adaptive cards +- Implement tool calling and function execution in Teams bots +- Create interactive experiences with adaptive cards and AI responses +- Build a collaborative team management bot for daily coordination + +## Key Features + +- ☕ Randomly select a coffee shop and orderer for the day +- 📋 Manage and display submitted coffee orders for the team +- 🥤 Maintains a list of coffee shops and drinks +- 🕓 Provides a list of opening hours for coffee shops + +## Prerequisite to use this sample +- [Node.js](https://nodejs.org/) version 18.x or higher +- A Microsoft 365 tenant in which you have permission to upload Teams apps. You can get a free Microsoft 365 developer tenant by joining the [Microsoft 365 developer program](https://developer.microsoft.com/en-us/microsoft-365/dev-program). +- [Microsoft 365 Agents Toolkit for VS Code](https://aka.ms/teams-toolkit) or [Microsoft 365 Agents Toolkit CLI](https://aka.ms/teams-toolkit-cli) +- OpenAI API Key or Azure OpenAI resource + +## Minimal path to awesome + +### Run the app locally + +1. Install dependencies: + ```bash + npm install + ``` + +2. Configure environment variables: + - Open the project in Visual Studio Code + - The Microsoft 365 Agents Toolkit will automatically generate the required environment files + - Update the `env/.env.local.user` file (or `env/.env.playground.user` if debug with playground) with your Azure OpenAI configuration: + - `SECRET_AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key + - `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint + - `AZURE_OPENAI_DEPLOYMENT_NAME`: Your Azure OpenAI deployment name (e.g., gpt-4o) + +3. Open the project in Visual Studio Code +4. Press F5 to start the debug session (Debug Edge) +5. Microsoft 365 Agents Toolkit will handle: + - Starting the local bot server + - Tunneling for external access + - Opening Teams with your bot loaded +6. Upon installation, the bot will automatically send an adaptive card with your team's coffee order for today! + +### Deploy the app to Azure +1. Open the project in Visual Studio Code +2. Use Microsoft 365 Agents Toolkit to provision and deploy to Azure +3. Follow the deployment prompts to configure your Azure resources + +### Preview the app in Teams +1. Launch remote debugging or use the deployed version +2. Install the app in Microsoft Teams +3. Start interacting with the Coffee Agent in Teams + +## Sample Questions + +You can ask the agent questions like: + +- "What can you do?" +- "Who should order the coffee today?" +- "I want to add a coffee shop. Can we add the Living Room Cafe. It has two drinks, a Matcha Latte (small) and an Oat Lavender Latte (medium)." +- "Send me an updated list of coffee shops." + +## Version History + +| Date | Author | Comments | +| ------------ | ---------- | -------------------------------------- | +| Oct 31, 2025 | qinzhouxu | Onboard sample with Microsoft Teams SDK | + +## Feedback +We really appreciate your feedback! If you encounter any issue or error, please report issues to us following the [Supporting Guide](https://github.com/OfficeDev/TeamsFx-Samples/blob/dev/SUPPORT.md). Meanwhile you can make [recording](https://aka.ms/teamsfx-record) of your journey with our product, they really make the product better. Thank you! \ No newline at end of file diff --git a/coffee-agent/appPackage/color.png b/coffee-agent/appPackage/color.png new file mode 100644 index 000000000..16d6a8110 Binary files /dev/null and b/coffee-agent/appPackage/color.png differ diff --git a/coffee-agent/appPackage/manifest.json b/coffee-agent/appPackage/manifest.json new file mode 100644 index 000000000..f3b922be7 --- /dev/null +++ b/coffee-agent/appPackage/manifest.json @@ -0,0 +1,54 @@ +{ + "$schema": "https://developer.microsoft.com/json-schemas/teams/v1.20/MicrosoftTeams.schema.json", + "version": "1.0.0", + "manifestVersion": "1.20", + "id": "${{TEAMS_APP_ID}}", + "name": { + "short": "Coffee Agent", + "full": "Coffee Agent" + }, + "developer": { + "name": "Microsoft", + "mpnId": "", + "websiteUrl": "https://microsoft.com", + "privacyUrl": "https://privacy.microsoft.com/privacystatement", + "termsOfUseUrl": "https://www.microsoft.com/legal/terms-of-use" + }, + "description": { + "short": "Coffee bot that manages coffee orders", + "full": "Coffee bot that manages coffee orders. It randomly selects a cafe and an orderer, manages coffee orders, and adds coffee shops." + }, + "icons": { + "outline": "outline.png", + "color": "color.png" + }, + "accentColor": "#FFFFFF", + "staticTabs": [ + { + "entityId": "conversations", + "scopes": ["personal"] + }, + { + "entityId": "about", + "scopes": ["personal"] + } + ], + "bots": [ + { + "botId": "${{BOT_ID}}", + "scopes": ["personal", "team", "groupChat"], + "isNotificationOnly": false, + "supportsCalling": false, + "supportsVideo": false, + "supportsFiles": false + } + ], + "validDomains": [ + "${{BOT_DOMAIN}}", + "*.botframework.com" + ], + "webApplicationInfo": { + "id": "${{BOT_ID}}", + "resource": "api://botid-${{BOT_ID}}" + } +} diff --git a/coffee-agent/appPackage/outline.png b/coffee-agent/appPackage/outline.png new file mode 100644 index 000000000..e8cb4b6ba Binary files /dev/null and b/coffee-agent/appPackage/outline.png differ diff --git a/coffee-agent/assets/coffee-agent-thumbnail.png b/coffee-agent/assets/coffee-agent-thumbnail.png new file mode 100644 index 000000000..42cacc001 Binary files /dev/null and b/coffee-agent/assets/coffee-agent-thumbnail.png differ diff --git a/coffee-agent/env/.env.dev b/coffee-agent/env/.env.dev new file mode 100644 index 000000000..4b07861c0 --- /dev/null +++ b/coffee-agent/env/.env.dev @@ -0,0 +1,16 @@ +# This file includes environment variables that will be committed to git by default. + +# Built-in environment variables +TEAMSFX_ENV=dev +APP_NAME_SUFFIX=dev + +# Updating AZURE_SUBSCRIPTION_ID or AZURE_RESOURCE_GROUP_NAME after provision may also require an update to RESOURCE_SUFFIX, because some services require a globally unique name across subscriptions/resource groups. +AZURE_SUBSCRIPTION_ID= +AZURE_RESOURCE_GROUP_NAME= +RESOURCE_SUFFIX= + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_AZURE_APP_SERVICE_RESOURCE_ID= +BOT_DOMAIN= \ No newline at end of file diff --git a/coffee-agent/env/.env.dev.user b/coffee-agent/env/.env.dev.user new file mode 100644 index 000000000..6e3a844ee --- /dev/null +++ b/coffee-agent/env/.env.dev.user @@ -0,0 +1,6 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/coffee-agent/env/.env.local b/coffee-agent/env/.env.local new file mode 100644 index 000000000..f3a75f872 --- /dev/null +++ b/coffee-agent/env/.env.local @@ -0,0 +1,11 @@ +# This file includes environment variables that can be committed to git. It's gitignored by default because it represents your local development environment. + +# Built-in environment variables +TEAMSFX_ENV=local +APP_NAME_SUFFIX=local + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_DOMAIN= +BOT_ENDPOINT= \ No newline at end of file diff --git a/coffee-agent/env/.env.local.user b/coffee-agent/env/.env.local.user new file mode 100644 index 000000000..4cf7a1fb3 --- /dev/null +++ b/coffee-agent/env/.env.local.user @@ -0,0 +1,8 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_BOT_PASSWORD= +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/coffee-agent/env/.env.playground b/coffee-agent/env/.env.playground new file mode 100644 index 000000000..4198bfc1d --- /dev/null +++ b/coffee-agent/env/.env.playground @@ -0,0 +1,5 @@ +TEAMSFX_ENV=playground + +# Environment variables used by test tool +TEAMSAPPTESTER_PORT=56150 +TEAMSFX_NOTIFICATION_STORE_FILENAME=.notification.testtoolstore.json \ No newline at end of file diff --git a/coffee-agent/env/.env.playground.user b/coffee-agent/env/.env.playground.user new file mode 100644 index 000000000..69055cf2f --- /dev/null +++ b/coffee-agent/env/.env.playground.user @@ -0,0 +1,7 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= \ No newline at end of file diff --git a/coffee-agent/infra/azure.bicep b/coffee-agent/infra/azure.bicep new file mode 100644 index 000000000..434d22d73 --- /dev/null +++ b/coffee-agent/infra/azure.bicep @@ -0,0 +1,112 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@secure() +param azureOpenAIKey string + +@secure() +param azureOpenAIEndpoint string + +@secure() +param azureOpenAIDeploymentName string + +param webAppSKU string + +@maxLength(42) +param botDisplayName string + +param serverfarmsName string = resourceBaseName +param webAppName string = resourceBaseName +param identityName string = resourceBaseName +param location string = resourceGroup().location + +resource identity 'Microsoft.ManagedIdentity/userAssignedIdentities@2023-01-31' = { + location: location + name: identityName +} + +// Compute resources for your Web App +resource serverfarm 'Microsoft.Web/serverfarms@2021-02-01' = { + kind: 'app' + location: location + name: serverfarmsName + sku: { + name: webAppSKU + } +} + +// Web App that hosts your agent +resource webApp 'Microsoft.Web/sites@2021-02-01' = { + kind: 'app' + location: location + name: webAppName + properties: { + serverFarmId: serverfarm.id + httpsOnly: true + siteConfig: { + alwaysOn: true + appSettings: [ + { + name: 'WEBSITE_RUN_FROM_PACKAGE' + value: '1' // Run Azure App Service from a package file + } + { + name: 'WEBSITE_NODE_DEFAULT_VERSION' + value: '~22' // Set NodeJS version to 22.x for your site + } + { + name: 'RUNNING_ON_AZURE' + value: '1' + } + { + name: 'clientId' + value: identity.properties.clientId + } + { + name: 'tenantId' + value: identity.properties.tenantId + } + { + name: 'AZURE_OPENAI_API_KEY' + value: azureOpenAIKey + } + { + name: 'AZURE_OPENAI_ENDPOINT' + value: azureOpenAIEndpoint + } + { + name: 'AZURE_OPENAI_DEPLOYMENT_NAME' + value: azureOpenAIDeploymentName + } + ] + ftpsState: 'FtpsOnly' + } + } + identity: { + type: 'UserAssigned' + userAssignedIdentities: { + '${identity.id}': {} + } + } +} + +// Register your web service as a bot with the Bot Framework +module azureBotRegistration './botRegistration/azurebot.bicep' = { + name: 'Azure-Bot-registration' + params: { + resourceBaseName: resourceBaseName + identityClientId: identity.properties.clientId + identityResourceId: identity.id + identityTenantId: identity.properties.tenantId + botAppDomain: webApp.properties.defaultHostName + botDisplayName: botDisplayName + } +} + +// The output will be persisted in .env.{envName}. Visit https://aka.ms/teamsfx-actions/arm-deploy for more details. +output BOT_AZURE_APP_SERVICE_RESOURCE_ID string = webApp.id +output BOT_DOMAIN string = webApp.properties.defaultHostName +output BOT_ID string = identity.properties.clientId +output BOT_TENANT_ID string = identity.properties.tenantId diff --git a/coffee-agent/infra/azure.parameters.json b/coffee-agent/infra/azure.parameters.json new file mode 100644 index 000000000..978a95fcf --- /dev/null +++ b/coffee-agent/infra/azure.parameters.json @@ -0,0 +1,24 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentParameters.json#", + "contentVersion": "1.0.0.0", + "parameters": { + "resourceBaseName": { + "value": "bot${{RESOURCE_SUFFIX}}" + }, + "azureOpenAIKey": { + "value": "${{SECRET_AZURE_OPENAI_API_KEY}}" + }, + "azureOpenAIEndpoint": { + "value": "${{AZURE_OPENAI_ENDPOINT}}" + }, + "azureOpenAIDeploymentName": { + "value": "${{AZURE_OPENAI_DEPLOYMENT_NAME}}" + }, + "webAppSKU": { + "value": "B1" + }, + "botDisplayName": { + "value": "CoffeeAgentInfra" + } + } +} \ No newline at end of file diff --git a/coffee-agent/infra/botRegistration/azurebot.bicep b/coffee-agent/infra/botRegistration/azurebot.bicep new file mode 100644 index 000000000..a5a27b8fe --- /dev/null +++ b/coffee-agent/infra/botRegistration/azurebot.bicep @@ -0,0 +1,42 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@maxLength(42) +param botDisplayName string + +param botServiceName string = resourceBaseName +param botServiceSku string = 'F0' +param identityResourceId string +param identityClientId string +param identityTenantId string +param botAppDomain string + +// Register your web service as a bot with the Bot Framework +resource botService 'Microsoft.BotService/botServices@2021-03-01' = { + kind: 'azurebot' + location: 'global' + name: botServiceName + properties: { + displayName: botDisplayName + endpoint: 'https://${botAppDomain}/api/messages' + msaAppId: identityClientId + msaAppMSIResourceId: identityResourceId + msaAppTenantId:identityTenantId + msaAppType:'UserAssignedMSI' + } + sku: { + name: botServiceSku + } +} + +// Connect the bot service to Microsoft Teams +resource botServiceMsTeamsChannel 'Microsoft.BotService/botServices/channels@2021-03-01' = { + parent: botService + location: 'global' + name: 'MsTeamsChannel' + properties: { + channelName: 'MsTeamsChannel' + } +} diff --git a/coffee-agent/infra/botRegistration/readme.md b/coffee-agent/infra/botRegistration/readme.md new file mode 100644 index 000000000..d5416243c --- /dev/null +++ b/coffee-agent/infra/botRegistration/readme.md @@ -0,0 +1 @@ +The `azurebot.bicep` module is provided to help you create Azure Bot service when you don't use Azure to host your app. If you use Azure as infrastrcture for your app, `azure.bicep` under infra folder already leverages this module to create Azure Bot service for you. You don't need to deploy `azurebot.bicep` again. \ No newline at end of file diff --git a/coffee-agent/m365agents.local.yml b/coffee-agent/m365agents.local.yml new file mode 100644 index 000000000..8fc30d8eb --- /dev/null +++ b/coffee-agent/m365agents.local.yml @@ -0,0 +1,84 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +environmentFolderPath: ./env + +# Defines what the `provision` lifecycle step does with Microsoft 365 Agents Toolkit. +# Runs first during Start Debugging (F5) or run manually using `teamsfx provision --env local`. +provision: + # Automates the creation of a Teams app registration and saves the App ID to an environment file. + - uses: teamsApp/create + with: + name: CoffeeAgent${{APP_NAME_SUFFIX}} + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + # Create or reuse an existing Microsoft Entra application for bot. + - uses: aadApp/create + with: + # The Microsoft Entra application's display name + name: CoffeeAgent${{APP_NAME_SUFFIX}} + generateClientSecret: true + generateServicePrincipal: true + signInAudience: AzureADMultipleOrgs + writeToEnvironmentFile: + # The Microsoft Entra application's client id created for bot. + clientId: BOT_ID + # The Microsoft Entra application's client secret created for bot. + clientSecret: SECRET_BOT_PASSWORD + # The Microsoft Entra application's object id created for bot. + objectId: BOT_OBJECT_ID + + # Automates the creation and configuration of a Bot Framework registration which is required for a bot. + # This configures the bot to use the Azure AD app registration created in the previous step. + # Microsoft 365 Agents Toolkit automatically creates a local Dev Tunnel URL and updates BOT_ENDPOINT when debugging (F5). + - uses: botFramework/create + with: + botId: ${{BOT_ID}} + name: CoffeeAgent + messagingEndpoint: ${{BOT_ENDPOINT}}/api/messages + description: '' + channels: + - name: msteams + + # Optional: Automates schema and error checking of the Teams app manifest and outputs the results in the console. + - uses: teamsApp/validateManifest + with: + manifestPath: ./appPackage/manifest.json + + # Automates the creation of a Teams app package (.zip). + - uses: teamsApp/zipAppPackage + with: + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + + # Automates updating the Teams app manifest in Teams Developer Portal using the App ID from the manifest file. + # This action ensures that any manifest changes are reflected when launching the app again in Teams. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + +# Defines what the `deploy` lifecycle step does with Microsoft 365 Agents Toolkit. +# Runs after `provision` during Start Debugging (F5) or run manually using `teamsfx deploy --env local`. +deploy: + # Install any dependencies and build the web app using NPM + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install --no-audit --workspaces=false + # Provides the M365 Agents Toolkit .env file values to the apps runtime so they can be accessed with `process.env`. + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs + envs: + PORT: 3978 + CLIENT_ID: ${{BOT_ID}} + CLIENT_SECRET: ${{SECRET_BOT_PASSWORD}} + TENANT_ID: ${{TEAMS_APP_TENANT_ID}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/coffee-agent/m365agents.playground.yml b/coffee-agent/m365agents.playground.yml new file mode 100644 index 000000000..30e862b13 --- /dev/null +++ b/coffee-agent/m365agents.playground.yml @@ -0,0 +1,29 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +deploy: + # Install development tool(s) + - uses: devTool/install + with: + testTool: + version: ~0.2.1 + symlinkDir: ./devTools/playground + + # Run npm command + - uses: cli/runNpmCommand + with: + args: install --no-audit --workspaces=false + + # Generate runtime environment variables + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs.playground + envs: + NODE_ENV: local + PORT: 3978 + TEAMSFX_NOTIFICATION_STORE_FILENAME: ${{TEAMSFX_NOTIFICATION_STORE_FILENAME}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/coffee-agent/m365agents.yml b/coffee-agent/m365agents.yml new file mode 100644 index 000000000..3fc5961d8 --- /dev/null +++ b/coffee-agent/m365agents.yml @@ -0,0 +1,142 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +additionalMetadata: + sampleTag: TeamsFx-Samples:coffee-agent + +environmentFolderPath: ./env + +# Triggered when 'teamsapp provision' is executed +provision: + # Creates an app + - uses: teamsApp/create + with: + # app name + name: CoffeeAgent${{APP_NAME_SUFFIX}} + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + - uses: arm/deploy # Deploy given ARM templates parallelly. + with: + # AZURE_SUBSCRIPTION_ID is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select a subscription. + # Referencing other environment variables with empty values + # will skip the subscription selection prompt. + subscriptionId: ${{AZURE_SUBSCRIPTION_ID}} + # AZURE_RESOURCE_GROUP_NAME is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select or create one + # resource group. + # Referencing other environment variables with empty values + # will skip the resource group selection prompt. + resourceGroupName: ${{AZURE_RESOURCE_GROUP_NAME}} + templates: + - path: ./infra/azure.bicep # Relative path to this file + # Relative path to this yaml file. + # Placeholders will be replaced with corresponding environment + # variable before ARM deployment. + parameters: ./infra/azure.parameters.json + # Required when deploying ARM template + deploymentName: Create-resources-for-bot + # Microsoft 365 Agents Toolkit will download this bicep CLI version from github for you, + # will use bicep CLI in PATH if you remove this config. + bicepCliVersion: v0.9.1 + + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + - uses: teamsApp/extendToM365 + with: + # Relative path to the build app package. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + titleId: M365_TITLE_ID + appId: M365_APP_ID + +# Triggered when 'teamsapp deploy' is executed +deploy: + # Run npm command + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install + - uses: cli/runNpmCommand + name: build app + with: + args: run build --if-present + # Deploy your application to Azure App Service using the zip deploy feature. + # For additional details, refer to https://aka.ms/zip-deploy-to-app-services. + - uses: azureAppService/zipDeploy + with: + # Deploy base folder + artifactFolder: . + # Ignore file location, leave blank will ignore nothing + ignoreFile: .webappignore + # The resource id of the cloud resource to be deployed to. + # This key will be generated by arm/deploy action automatically. + # You can replace it with your existing Azure Resource id + # or add it to your environment variable file. + resourceId: ${{BOT_AZURE_APP_SERVICE_RESOURCE_ID}} + +# Triggered when 'teamsapp publish' is executed +publish: + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Publish the app to + # Teams Admin Center (https://admin.teams.microsoft.com/policies/manage-apps) + # for review and approval + - uses: teamsApp/publishAppPackage + with: + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + publishedAppId: TEAMS_APP_PUBLISHED_APP_ID diff --git a/coffee-agent/package-lock.json b/coffee-agent/package-lock.json new file mode 100644 index 000000000..23316b9a2 --- /dev/null +++ b/coffee-agent/package-lock.json @@ -0,0 +1,4119 @@ +{ + "name": "coffee-agent", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "coffee-agent", + "version": "0.0.0", + "license": "MIT", + "dependencies": { + "@microsoft/teams.ai": "^2.0.0-preview.3", + 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run dev", + "dev:teamsfx:playground": "env-cmd --silent -f .localConfigs.playground npm run dev", + "dev:teamsfx:launch-playground": "env-cmd --silent -f env/.env.playground teamsapptester start" + }, + "dependencies": { + "@microsoft/teams.ai": "^2.0.0-preview.3", + "@microsoft/teams.api": "^2.0.0-preview.3", + "@microsoft/teams.apps": "^2.0.0-preview.3", + "@microsoft/teams.cards": "^2.0.0-preview.3", + "@microsoft/teams.common": "^2.0.0-preview.3", + "@microsoft/teams.dev": "^2.0.0-preview.3", + "@microsoft/teams.graph": "^2.0.0-preview.3", + "@microsoft/teams.openai": "^2.0.0-preview.3" + }, + "devDependencies": { + "@types/node": "^22.5.4", + "dotenv": "^16.4.5", + "env-cmd": "latest", + "nodemon": "^3.1.4", + "rimraf": "^6.0.1", + "ts-node": "^10.9.2", + "tsup": "^8.4.0", + "typescript": "^5.4.5" + } +} diff --git a/coffee-agent/src/cards.ts b/coffee-agent/src/cards.ts new file mode 100644 index 000000000..21eab82e3 --- /dev/null +++ b/coffee-agent/src/cards.ts @@ -0,0 +1,141 @@ +import { + AdaptiveCard, + ChoiceSetInput, + Container, + Fact, + FactSet, + SubmitAction, + TaskFetchAction, + TextBlock, + TextInput, +} from '@microsoft/teams.cards'; +import { CoffeeOrder } from './interfaces'; + +/** + * Generates an activity with an adaptive card for the coffee order. + * @param order - The coffee order object containing the order details. + * @returns The activity object containing the adaptive card for the coffee order. + */ +function generateOrderCard(order: CoffeeOrder): any { + const card = new AdaptiveCard(); + card.version = '1.5'; + card.body = [ + new TextBlock(`☕ Today's Coffee Order #${order.id}`, { weight: 'Bolder', size: 'Large' }), + new TextBlock(`📍 Today's Cafe: ${order.coffeeShop.name}`, { spacing: 'Medium' }), + new TextBlock('🥤 Available Drinks:', { spacing: 'Medium' }), + ]; + + const drinkContainer = _getDrinkContainer(order); + card.body.push(drinkContainer); + + card.body.push(new TextBlock('📋 Current Order:', { weight: 'Bolder', spacing: 'Medium' })); + const factSet = _getCurrentOrders(order); + card.body.push(factSet); + + card.body.push(new TextBlock(`🕓 Status: ${order.status}`, { spacing: 'Medium' })); + + card.actions = [new TaskFetchAction().withTitle('Customize Your Order').withId('addOrderButton')]; + + return { + type: 'message', + attachments: [ + { + contentType: 'application/vnd.microsoft.card.adaptive', + content: card, + }, + ], + }; +} + +/** + * Generates an activity with an adaptive card for the updated coffee order. + * @param order - The coffee order object containing the order details. + * @returns The activity object containing the updated adaptive card for the submitted coffee order. + */ +function generateSubmittedOrderCard(order: CoffeeOrder): any { + const card = new AdaptiveCard(); + card.version = '1.5'; + card.body = [ + new TextBlock(`☕ Updated Coffee Order #${order.id}`, { weight: 'Bolder', size: 'Large' }), + new TextBlock(`📍 Today's Cafe: ${order.coffeeShop.name}`, { spacing: 'Medium' }), + new TextBlock('🥤 Available Drinks:', { weight: 'Bolder', spacing: 'Medium' }), + ]; + + const drinkContainer = _getDrinkContainer(order); + card.body.push(drinkContainer); + + card.body.push(new TextBlock('📋 Current Order:', { weight: 'Bolder', spacing: 'Medium' })); + const factSet = _getCurrentOrders(order); + card.body.push(factSet); + + card.body.push(new TextBlock(`🕓 Status: ${order.status}`, { spacing: 'Medium' })); + + return { + type: 'message', + attachments: [ + { + contentType: 'application/vnd.microsoft.card.adaptive', + content: card, + }, + ], + }; +} + +function _getDrinkContainer(order: CoffeeOrder): Container { + const drinkContainer = new Container(); + drinkContainer.items = []; + + order.coffeeShop.drinks.forEach(drink => { + drinkContainer.items.push(new TextBlock(`- ${drink.name} (${drink.size})`, { wrap: true })); + }); + + return drinkContainer; +} + +function _getCurrentOrders(order: CoffeeOrder): FactSet { + const factSet = new FactSet().withOptions({ spacing: 'Medium' }); + let facts: Fact[] = []; + facts = Array.from(order.drinks.entries()).map(([member, drink]) => { + const memberName = member.name; + const drinkInfo = `${drink.name} (${drink.size})`; + return new Fact(memberName, drinkInfo); + }); + + factSet.withFacts(...facts); + return factSet; +} + +/** + * Generates the order dialog card for the coffee order. + * @param order - The coffee order object containing the order details. + * @returns A card object representing the order dialog. + */ +function generateOrderDialogCard(order: CoffeeOrder): AdaptiveCard { + const card = new AdaptiveCard(); + card.version = '1.5'; + card.body = [new TextBlock('Your Name:', { weight: 'Bolder' })]; + + const nameInput = new TextInput(); + nameInput.id = 'userNameInput'; + nameInput.placeholder = 'Enter your name'; + card.body.push(nameInput); + + card.body.push(new TextBlock('Select Your Drink:', { weight: 'Bolder', spacing: 'Medium' })); + const drinkChoices = order.coffeeShop.drinks.map(drink => ({ + title: `${drink.name} (${drink.size})`, + value: `${drink.name} (${drink.size})`, + })); + + const drinkInput = new ChoiceSetInput(); + drinkInput.id = 'selectedDrinkInput'; + drinkInput.style = 'compact'; + + drinkInput.choices = drinkChoices.map(choice => ({ title: choice.title, value: choice.value })); + card.body.push(drinkInput); + + card.actions = [new SubmitAction().withTitle('Submit Your Order').withId('submitOrderButton')]; + + return card; +} + +export { generateOrderCard, generateSubmittedOrderCard, generateOrderDialogCard }; diff --git a/coffee-agent/src/index.ts b/coffee-agent/src/index.ts new file mode 100644 index 000000000..e534efd38 --- /dev/null +++ b/coffee-agent/src/index.ts @@ -0,0 +1,121 @@ +import { App } from '@microsoft/teams.apps'; +import { ChatPrompt } from '@microsoft/teams.ai'; +import { AzureOpenAIChatModelOptions, OpenAIChatModel } from '@microsoft/teams.openai'; +import { ConsoleLogger, LocalStorage } from '@microsoft/teams.common'; +import { InvokeResponse, TaskModuleResponse } from '@microsoft/teams.api'; +import { CoffeeShop, Member, StorageState } from './interfaces'; +import { generateOrderCard, generateOrderDialogCard, generateSubmittedOrderCard } from './cards'; +import { addCoffeeShopSchema } from './schema'; +import { initialCafes, initialOrder } from './storage'; + +const storage = new LocalStorage(); +storage.set('local', { coffeeShops: initialCafes, currOrder: initialOrder } as StorageState); + +const app = new App({ + logger: new ConsoleLogger('@samples/coffee', { level: 'debug' }) +}); + +app.on('install.add', async ({ send }) => { + await send( + "Yawwn... Oh, hi there 👋, I'm your team's designated Coffee Bot! Let's start brewing... I have randomly selected the cafe for today!", + ); + const card = generateOrderCard(initialOrder); + await send(card); +}); + +app.on('dialog.open', async () => { + const order = storage.get('local')!.currOrder; + const dialogCard = generateOrderDialogCard(order!); + + return { + task: { + type: 'continue', + value: { + card: { + contentType: 'application/vnd.microsoft.card.adaptive', + content: dialogCard, + }, + height: 'medium', + title: 'Submit Your Order', + }, + }, + } as TaskModuleResponse; +}); + +app.on('dialog.submit', async ({ activity, send }) => { + const data = activity.value!.data; + const userName = data.userNameInput; + const selectedDrinkInput = data.selectedDrinkInput; + const state = storage.get('local'); + const order = state!.currOrder; + const selectedDrink = order?.coffeeShop.drinks.find(d => `${d.name} (${d.size})` === selectedDrinkInput); + const member: Member = { name: userName }; + + if (order && selectedDrink) { + order.drinks.set(member, selectedDrink); + storage.set('local', state!); + } + + const updatedCard = generateSubmittedOrderCard(order!); + await send(updatedCard); + + return { + status: 200, + body: { + task: { + type: 'message', + value: 'Thanks for submitting your coffee order! It is coming right up!', + }, + }, + } as InvokeResponse<'task/submit'>; +}); + +app.on('message', async ({ send, activity }) => { + await send({ type: 'typing' }); + const res = await prompt.send(activity.text); + await send(res.content!); +}); + +const prompt = new ChatPrompt( + { + instructions: [ + 'you are an assistant that helps manage daily coffee orders for the team.', + 'every day, you will randomly select a team member to place an order for coffee.', + ].join('\n'), + model: new OpenAIChatModel({ + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME, + apiKey: process.env.AZURE_OPENAI_API_KEY, + endpoint: process.env.AZURE_OPENAI_ENDPOINT, + apiVersion: '2025-04-01-preview', + } as AzureOpenAIChatModelOptions), + }, +) + .function('choose_orderer', 'chooses the person assigned to get the coffee', () => { + const state = storage.get('local'); + const order = state!.currOrder; + const members = order!.drinks.keys(); + const membersArray = Array.from(members!); + const selectedOrderer = membersArray[Math.floor(Math.random() * membersArray.length)]; + state!.currOrder!.orderer = selectedOrderer; + storage.set('local', state!); + return selectedOrderer; + }) + .function( + 'add_coffee_shop', + 'adds a new coffee shop to the list of coffee shops', + addCoffeeShopSchema, + (cafe: CoffeeShop) => { + const state = storage.get('local'); + state!.coffeeShops.push(cafe); + storage.set('local', state!); + return cafe; + }, + ) + .function('get_coffee_shops', 'returns the list of available coffee shops', () => { + const state = storage.get('local'); + return state?.coffeeShops; + }); + +(async () => { + await app.start(+(process.env.PORT || 3978)); +})(); diff --git a/coffee-agent/src/interfaces.ts b/coffee-agent/src/interfaces.ts new file mode 100644 index 000000000..0639beaa4 --- /dev/null +++ b/coffee-agent/src/interfaces.ts @@ -0,0 +1,29 @@ +interface StorageState { + currOrder?: CoffeeOrder; + coffeeShops: CoffeeShop[]; +} + +interface CoffeeOrder { + id: number; + date: Date; + drinks: Map; + coffeeShop: CoffeeShop; + orderer?: Member; + status: 'pending' | 'completed'; +} + +interface CoffeeShop { + name: string; + drinks: Drink[]; +} + +interface Drink { + name: string; + size: 'small' | 'medium' | 'large'; +} + +interface Member { + name: string; +} + +export { StorageState, CoffeeOrder, CoffeeShop, Drink, Member }; diff --git a/coffee-agent/src/schema.ts b/coffee-agent/src/schema.ts new file mode 100644 index 000000000..43785d078 --- /dev/null +++ b/coffee-agent/src/schema.ts @@ -0,0 +1,35 @@ +import { ObjectSchema } from '@microsoft/teams.ai'; + +/** + * Schema to add a new coffee shop, used by the function. + */ +const addCoffeeShopSchema = { + type: 'object', + properties: { + name: { + type: 'string', + description: 'The name of the coffee shop.', + }, + drinks: { + type: 'array', + description: 'The list of drinks available at the coffee shop.', + items: { + type: 'object', + properties: { + name: { + type: 'string', + description: 'The name of the drink.', + }, + size: { + type: 'string', + description: 'The size of the drink.', + }, + }, + required: ['name', 'size'], + }, + }, + }, + required: ['name', 'drinks'], +} as ObjectSchema; + +export { addCoffeeShopSchema }; diff --git a/coffee-agent/src/storage.ts b/coffee-agent/src/storage.ts new file mode 100644 index 000000000..6ed6b0528 --- /dev/null +++ b/coffee-agent/src/storage.ts @@ -0,0 +1,43 @@ +import { Member, Drink, CoffeeOrder } from './interfaces'; + +const initialCafes = [ + { + name: 'Starbucks', + drinks: [ + { name: 'Vanilla Latte', size: 'medium' }, + { name: 'Espresso', size: 'small' }, + ], + }, + { + name: "Dunkin'", + drinks: [ + { name: 'Cold Brew', size: 'large' }, + { name: 'Iced Coffee', size: 'medium' }, + ], + }, + { + name: "Peet's Coffee", + drinks: [ + { name: 'Decaf', size: 'large' }, + { name: 'Mocha', size: 'medium' }, + ], + }, +]; + +const selectedCafe = initialCafes[Math.floor(Math.random() * initialCafes.length)]; +const drinksAvailable = selectedCafe.drinks; +const memberOne = { name: 'Corina' } as Member; +const memberTwo = { name: 'Lily' } as Member; + +const initialOrder = { + id: 1, + date: new Date(), + drinks: new Map([ + [memberOne, drinksAvailable[0] as Drink], + [memberTwo, drinksAvailable[1] as Drink], + ]), + coffeeShop: selectedCafe, + status: 'pending', +} as CoffeeOrder; + +export { initialCafes, initialOrder }; diff --git a/coffee-agent/tsconfig.json b/coffee-agent/tsconfig.json new file mode 100644 index 000000000..2c188ac0d --- /dev/null +++ b/coffee-agent/tsconfig.json @@ -0,0 +1,23 @@ +{ + "$schema": "https://json.schemastore.org/tsconfig", + "compilerOptions": { + "module": "NodeNext", + "target": "ESNext", + "moduleResolution": "NodeNext", + "strict": true, + "noImplicitAny": true, + "declaration": true, + "inlineSourceMap": true, + "esModuleInterop": true, + "allowSyntheticDefaultImports": true, + "experimentalDecorators": true, + "emitDecoratorMetadata": false, + "resolveJsonModule": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "pretty": true, + "outDir": "dist", + "rootDir": "src", + "types": ["node"] + } +} diff --git a/coffee-agent/tsup.config.js b/coffee-agent/tsup.config.js new file mode 100644 index 000000000..32277a72f --- /dev/null +++ b/coffee-agent/tsup.config.js @@ -0,0 +1,13 @@ +/** @type {import('tsup').Options} */ +module.exports = { + dts: true, + minify: false, + bundle: false, + sourcemap: true, + treeshake: true, + splitting: true, + clean: true, + outDir: 'dist', + entry: ['src/index.ts'], + format: ['cjs'], +}; diff --git a/collaborator-agent/.gitignore b/collaborator-agent/.gitignore new file mode 100644 index 000000000..6e621e854 --- /dev/null +++ b/collaborator-agent/.gitignore @@ -0,0 +1,13 @@ +# Ignore environment files +.env +.env.* +env/ + +# Ignore node_modules +node_modules/ + +# Ignore database files +src/storage/conversations.db + +.localConfigs +.localConfigs.playground diff --git a/collaborator-agent/.vscode/launch.json b/collaborator-agent/.vscode/launch.json new file mode 100644 index 000000000..2999c0d42 --- /dev/null +++ b/collaborator-agent/.vscode/launch.json @@ -0,0 +1,95 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Launch Remote (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 1 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch Remote (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 2 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Attach to Local Service", + "type": "node", + "request": "attach", + "port": 9239, + "restart": true, + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + } + ], + "compounds": [ + { + "name": "Debug (Edge)", + "configurations": ["Launch App (Edge)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 1 + }, + "stopAll": true + }, + { + "name": "Debug (Chrome)", + "configurations": ["Launch App (Chrome)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 2 + }, + "stopAll": true + }, + { + "name": "Debug in Microsoft 365 Agents Playground", + "configurations": ["Attach to Local Service"], + "preLaunchTask": "Start App in Microsoft 365 Agents Playground", + "presentation": { + "group": "local", + "order": 1 + }, + "stopAll": true + } + ] +} diff --git a/collaborator-agent/.vscode/tasks.json b/collaborator-agent/.vscode/tasks.json new file mode 100644 index 000000000..4b44feec7 --- /dev/null +++ b/collaborator-agent/.vscode/tasks.json @@ -0,0 +1,204 @@ +// This file is automatically generated by M365 Agents Toolkit. +// The teamsfx tasks defined in this file require M365 Agents Toolkit version >= 5.0.0. +// See https://aka.ms/teamsfx-tasks for details on how to customize each task. +{ + "version": "2.0.0", + "tasks": [ + { + "label": "Start App Locally", + "dependsOn": [ + "Validate prerequisites", + "Start local tunnel", + "Provision", + "Deploy", + "Start application" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "m365Account", // Sign-in prompt for Microsoft 365 account, then validate if the account enables the sideloading permission. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239 // app inspector port for Node.js debugger + ] + } + }, + { + // Start the local tunnel service to forward public URL to local port and inspect traffic. + // See https://aka.ms/teamsfx-tasks/local-tunnel for the detailed args definitions. + "label": "Start local tunnel", + "type": "teamsfx", + "command": "debug-start-local-tunnel", + "args": { + "type": "dev-tunnel", + "ports": [ + { + "portNumber": 3978, + "protocol": "http", + "access": "public", + "writeToEnvironmentFile": { + "endpoint": "BOT_ENDPOINT", // output tunnel endpoint as BOT_ENDPOINT + "domain": "BOT_DOMAIN" // output tunnel domain as BOT_DOMAIN + } + } + ], + "env": "local" + }, + "isBackground": true, + "problemMatcher": "$teamsfx-local-tunnel-watch" + }, + { + // Create the debug resources. + // See https://aka.ms/teamsfx-tasks/provision to know the details and how to customize the args. + "label": "Provision", + "type": "teamsfx", + "command": "provision", + "args": { + "env": "local" + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "local" + } + }, + { + "label": "Start application", + "type": "shell", + "command": "npm run dev:teamsfx", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start App in Microsoft 365 Agents Playground", + "dependsOn": [ + "Validate prerequisites (Microsoft 365 Agents Playground)", + "Deploy (Microsoft 365 Agents Playground)", + "Start application (Microsoft 365 Agents Playground)", + "Start Microsoft 365 Agents Playground" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239, // app inspector port for Node.js debugger + 56150 // Microsoft 365 Agents Playground port + ] + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "playground" + } + }, + { + "label": "Start application (Microsoft 365 Agents Playground)", + "type": "shell", + "command": "npm run dev:teamsfx:playground", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start Microsoft 365 Agents Playground", + "type": "shell", + "command": "npm run dev:teamsfx:launch-playground", + "isBackground": true, + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/teamsapptester/node_modules/.bin:${env:PATH}" + } + }, + "windows": { + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/teamsapptester/node_modules/.bin;${env:PATH}" + } + } + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": ".*", + "endsPattern": "Listening on" + } + }, + "presentation": { + "panel": "dedicated", + "reveal": "silent" + } + } + ] +} diff --git a/collaborator-agent/README.md b/collaborator-agent/README.md new file mode 100644 index 000000000..f3a476446 --- /dev/null +++ b/collaborator-agent/README.md @@ -0,0 +1,183 @@ +# Getting Started with Collaborator Agent + +This intelligent collaboration assistant is built with the [Microsoft Teams SDK](https://aka.ms/teamsai-v2), and showcases how to create a sophisticated bot that can analyze conversations, manage tasks, and search through chat history using advanced AI capabilities and natural language processing. + +The Collaborator Agent enhances team productivity by providing intelligent conversation analysis, automatic task management, and powerful search capabilities. It can listen to all messages in a group chat (even without being @mentioned) using RSC (Resource Specific Control) permissions, making it a seamless addition to any team workflow. + +**[Watch the Collaborator Agent Demo](https://www.youtube.com/watch?v=RuIfcNcBB_8)** + +## This sample illustrates +- Use Microsoft 365 Agents Toolkit to create an AI-powered collaboration assistant +- Implement RSC (Resource Specific Control) permissions for group chat monitoring +- Use Microsoft Teams SDK for advanced conversation analysis and task management +- Build multi-capability architecture with specialized AI functions +- Create natural language search and time-based query processing +- Implement SQLite database integration for conversation history storage + +## Key Features + +- 📋 **Intelligent Summarization** - Analyze conversations and provide structured summaries with proper participant attribution and topic identification +- ✅ **Action Items** - Automatically identify and create action items from team discussions with smart assignment +- 🔍 **Conversation Search** - Search through chat history using natural language queries with time-based filtering and deep linking to original messages + +## Adding Custom Capabilities + +Adding your own capabilities only requires a few steps: + +1. Copy the template folder under capabilities [template](src\capabilities\template\template.ts) +2. Customize your capability to do what you want (helpful to look at existing capabilities) +3. Make sure to create a CapabilityDefinition at the bottom of your main file +4. Register your capability by importing the CapabilityDefinition and adding to the definition list in [registry](src\capabilities\registry.ts) +5. The manager will automatically be instantiated with the capability you defined! + +## Agent Architecture + +```mermaid +flowchart TD + A[Manager] + + A --> B(Summarizer) + A --> C(Action Items Creation) + A --> D(Search) + A --> E(Add your own capabilities!) +``` + +## Flow of the Agent + +```mermaid +flowchart TD + A{Incoming User Message} + + A -->|Groupchat & Bot mentioned OR 1:1| M[Manager receives message] + A -->|Groupchat & Bot not mentioned| C[User message added to DB] + + M --> Q{Requires capability?} + Q -->|Yes| D[Capability runs its own functions] + Q -->|No| E[Manager generates response] + + D -->|Results to manager| E + + E --> F[Add user and model messages to DB] + E -->|Return response to user| A +``` + +If Collab Agent is added to a groupchat or private message, it will always listen and log each message to its database. The messages are stored in an SQLite DB by the conversation ID of the given conversation. +The agent will respond whenever @mentioned in groupchats and will always respond in 1-on-1 messages. When the agent responds, the request is first passed through a manger prompt. +This manager may route to a capability based on the request--this capability returns its result back to the manager where it will be passed back to the user. + + +## Prerequisite to use this sample +- [Node.js](https://nodejs.org/) version 18.x or higher +- A Microsoft 365 tenant in which you have permission to upload Teams apps. You can get a free Microsoft 365 developer tenant by joining the [Microsoft 365 developer program](https://developer.microsoft.com/en-us/microsoft-365/dev-program). +- [Microsoft 365 Agents Toolkit for VS Code](https://aka.ms/teams-toolkit) or [Microsoft 365 Agents Toolkit CLI](https://aka.ms/teams-toolkit-cli) +- Azure OpenAI resource with GPT-4 deployment + +## Minimal path to awesome + +### Run the app locally + +1. Install dependencies: + ```bash + npm install + ``` + +2. Configure environment variables: + - Open the project in Visual Studio Code + - The Microsoft 365 Agents Toolkit will automatically generate the required environment files + - Update the `.localConfigs` file (or `.localConfigs.playground` if debug with playground) with your Azure OpenAI configuration: + - `SECRET_AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key + - `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint URL + - `AZURE_OPENAI_DEPLOYMENT_NAME`: Your GPT-4 model deployment name + +3. Open the project in Visual Studio Code +4. Press F5 to start the debug session (Debug Edge) +5. Microsoft 365 Agents Toolkit will handle: + - Starting the local bot server + - Tunneling for external access + - Opening Teams with your bot loaded +6. @mention the bot in any conversation to start using its capabilities! + +### Deploy the app to Azure +1. Open the project in Visual Studio Code +2. Use Microsoft 365 Agents Toolkit to provision and deploy to Azure +3. Follow the deployment prompts to configure your Azure resources + +### Preview the app in Teams +1. Launch remote debugging or use the deployed version +2. Install the app in Microsoft Teams +3. @mention the bot in conversations to activate its capabilities + +## Sample Questions + +You can ask the Collaborator agent questions like: + +**Summarization:** +- "@Collaborator summarize yesterday's discussion" +- "@Collaborator what were the main topics from last week?" +- "@Collaborator give me an overview of recent messages" + +**Action Items:** +- "@Collaborator find action items from the past 3 days" +- "@Collaborator create a task to review the proposal by Friday" +- "@Collaborator what tasks are assigned to me?" + +**Search:** +- "@Collaborator find messages about the project deadline" +- "@Collaborator search for conversations between Alice and Bob" +- "@Collaborator locate discussions from this morning about the budget" + +## Advanced usage of this sample + +### Adding Custom Capabilities + +Adding your own capabilities only requires a few steps: + +1. Copy the template folder under capabilities [template](src\capabilities\template\template.ts) +2. Customize your capability to do what you want (helpful to look at existing capabilities) +3. Make sure to create a CapabilityDefinition at the bottom of your main file +4. Register your capability by importing the CapabilityDefinition and adding to the definition list in [registry](src\capabilities\registry.ts) +5. The manager will automatically be instantiated with the capability you defined! + +### Agent Architecture + +```mermaid +flowchart TD + A[Manager] + + A --> B(Summarizer) + A --> C(Action Items Creation) + A --> D(Search) + A --> E(Add your own capabilities!) +``` + +### Flow of the Agent + +```mermaid +flowchart TD + A{Incoming User Message} + + A -->|Groupchat & Bot mentioned OR 1:1| M[Manager receives message] + A -->|Groupchat & Bot not mentioned| C[User message added to DB] + + M --> Q{Requires capability?} + Q -->|Yes| D[Capability runs its own functions] + Q -->|No| E[Manager generates response] + + D -->|Results to manager| E + + E --> F[Add user and model messages to DB] + E -->|Return response to user| A +``` + +If Collab Agent is added to a groupchat or private message, it will always listen and log each message to its database. The messages are stored in an SQLite DB by the conversation ID of the given conversation. +The agent will respond whenever @mentioned in groupchats and will always respond in 1-on-1 messages. When the agent responds, the request is first passed through a manger prompt. +This manager may route to a capability based on the request--this capability returns its result back to the manager where it will be passed back to the user. + +## Version History + +| Date | Author | Comments | +| ------------ | ---------- | -------------------------------------- | +| Oct 31, 2025 | qinzhouxu | Onboard sample with Microsoft Teams SDK | + +## Feedback +We really appreciate your feedback! If you encounter any issue or error, please report issues to us following the [Supporting Guide](https://github.com/OfficeDev/TeamsFx-Samples/blob/dev/SUPPORT.md). Meanwhile you can make [recording](https://aka.ms/teamsfx-record) of your journey with our product, they really make the product better. Thank you! diff --git a/collaborator-agent/appPackage/color.png b/collaborator-agent/appPackage/color.png new file mode 100644 index 000000000..1bd6aa4d1 Binary files /dev/null and b/collaborator-agent/appPackage/color.png differ diff --git a/collaborator-agent/appPackage/manifest.json b/collaborator-agent/appPackage/manifest.json new file mode 100644 index 000000000..b9d65505f --- /dev/null +++ b/collaborator-agent/appPackage/manifest.json @@ -0,0 +1,72 @@ +{ + "$schema": "https://developer.microsoft.com/json-schemas/teams/v1.20/MicrosoftTeams.schema.json", + "version": "1.0.0", + "manifestVersion": "1.20", + "id": "${{TEAMS_APP_ID}}", + "name": { + "short": "Collab Agent", + "full": "Collab Agent" + }, + "developer": { + "name": "Microsoft", + "mpnId": "", + "websiteUrl": "https://microsoft.com", + "privacyUrl": "https://privacy.microsoft.com/privacystatement", + "termsOfUseUrl": "https://www.microsoft.com/legal/terms-of-use" + }, + "description": { + "short": "Agent with collaborative capabilites to optimize your work", + "full": "Agent with collaborative capabilites to optimize your work" + }, + "icons": { + "outline": "outline.png", + "color": "color.png" + }, + "accentColor": "#FFFFFF", + "staticTabs": [ + { + "entityId": "conversations", + "scopes": [ + "personal" + ] + }, + { + "entityId": "about", + "scopes": [ + "personal" + ] + } + ], + "bots": [ + { + "botId": "${{BOT_ID}}", + "scopes": [ + "personal", + "team", + "groupChat" + ], + "isNotificationOnly": false, + "supportsCalling": false, + "supportsVideo": false, + "supportsFiles": false + } + ], + "validDomains": [ + "${{BOT_DOMAIN}}", + "*.botframework.com" + ], + "webApplicationInfo": { + "id": "${{BOT_ID}}", + "resource": "api://botid-${{BOT_ID}}" + }, + "authorization": { + "permissions": { + "resourceSpecific": [ + { + "name": "ChatMessage.Read.Chat", + "type": "Application" + } + ] + } + } +} \ No newline at end of file diff --git a/collaborator-agent/appPackage/outline.png b/collaborator-agent/appPackage/outline.png new file mode 100644 index 000000000..e8cb4b6ba Binary files /dev/null and b/collaborator-agent/appPackage/outline.png differ diff --git a/collaborator-agent/assets/collaborator-agent-thumbnail.png b/collaborator-agent/assets/collaborator-agent-thumbnail.png new file mode 100644 index 000000000..275611a2e Binary files /dev/null and b/collaborator-agent/assets/collaborator-agent-thumbnail.png differ diff --git a/collaborator-agent/env/.env.dev b/collaborator-agent/env/.env.dev new file mode 100644 index 000000000..5b144a42d --- /dev/null +++ b/collaborator-agent/env/.env.dev @@ -0,0 +1,19 @@ +# This file includes environment variables that will be committed to git by default. + +# Built-in environment variables +TEAMSFX_ENV=dev +APP_NAME_SUFFIX=dev + +# Updating AZURE_SUBSCRIPTION_ID or AZURE_RESOURCE_GROUP_NAME after provision may also require an update to RESOURCE_SUFFIX, because some services require a globally unique name across subscriptions/resource groups. +AZURE_SUBSCRIPTION_ID= +AZURE_RESOURCE_GROUP_NAME= +RESOURCE_SUFFIX= + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_AZURE_APP_SERVICE_RESOURCE_ID= +BOT_DOMAIN= + +# e.g. ./src/storage/conversations.db +CONVERSATIONS_DB_PATH= \ No newline at end of file diff --git a/collaborator-agent/env/.env.dev.user b/collaborator-agent/env/.env.dev.user new file mode 100644 index 000000000..6e3a844ee --- /dev/null +++ b/collaborator-agent/env/.env.dev.user @@ -0,0 +1,6 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/collaborator-agent/env/.env.local b/collaborator-agent/env/.env.local new file mode 100644 index 000000000..62e5e8586 --- /dev/null +++ b/collaborator-agent/env/.env.local @@ -0,0 +1,14 @@ +# This file includes environment variables that can be committed to git. It's gitignored by default because it represents your local development environment. + +# Built-in environment variables +TEAMSFX_ENV=local +APP_NAME_SUFFIX=local + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_DOMAIN= +BOT_ENDPOINT= + +# e.g. ./src/storage/conversations.db +CONVERSATIONS_DB_PATH= \ No newline at end of file diff --git a/collaborator-agent/env/.env.local.user b/collaborator-agent/env/.env.local.user new file mode 100644 index 000000000..4cf7a1fb3 --- /dev/null +++ b/collaborator-agent/env/.env.local.user @@ -0,0 +1,8 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_BOT_PASSWORD= +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/collaborator-agent/env/.env.playground b/collaborator-agent/env/.env.playground new file mode 100644 index 000000000..a98038cb8 --- /dev/null +++ b/collaborator-agent/env/.env.playground @@ -0,0 +1,8 @@ +TEAMSFX_ENV=playground + +# Environment variables used by test tool +TEAMSAPPTESTER_PORT=56150 +TEAMSFX_NOTIFICATION_STORE_FILENAME=.notification.testtoolstore.json + +# e.g. ./src/storage/conversations.db +CONVERSATIONS_DB_PATH= \ No newline at end of file diff --git a/collaborator-agent/env/.env.playground.user b/collaborator-agent/env/.env.playground.user new file mode 100644 index 000000000..69055cf2f --- /dev/null +++ b/collaborator-agent/env/.env.playground.user @@ -0,0 +1,7 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= \ No newline at end of file diff --git a/collaborator-agent/infra/azure.bicep b/collaborator-agent/infra/azure.bicep new file mode 100644 index 000000000..434d22d73 --- /dev/null +++ b/collaborator-agent/infra/azure.bicep @@ -0,0 +1,112 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@secure() +param azureOpenAIKey string + +@secure() +param azureOpenAIEndpoint string + +@secure() +param azureOpenAIDeploymentName string + +param webAppSKU string + +@maxLength(42) +param botDisplayName string + +param serverfarmsName string = resourceBaseName +param webAppName string = resourceBaseName +param identityName string = resourceBaseName +param location string = resourceGroup().location + +resource identity 'Microsoft.ManagedIdentity/userAssignedIdentities@2023-01-31' = { + location: location + name: identityName +} + +// Compute resources for your Web App +resource serverfarm 'Microsoft.Web/serverfarms@2021-02-01' = { + kind: 'app' + location: location + name: serverfarmsName + sku: { + name: webAppSKU + } +} + +// Web App that hosts your agent +resource webApp 'Microsoft.Web/sites@2021-02-01' = { + kind: 'app' + location: location + name: webAppName + properties: { + serverFarmId: serverfarm.id + httpsOnly: true + siteConfig: { + alwaysOn: true + appSettings: [ + { + name: 'WEBSITE_RUN_FROM_PACKAGE' + value: '1' // Run Azure App Service from a package file + } + { + name: 'WEBSITE_NODE_DEFAULT_VERSION' + value: '~22' // Set NodeJS version to 22.x for your site + } + { + name: 'RUNNING_ON_AZURE' + value: '1' + } + { + name: 'clientId' + value: identity.properties.clientId + } + { + name: 'tenantId' + value: identity.properties.tenantId + } + { + name: 'AZURE_OPENAI_API_KEY' + value: azureOpenAIKey + } + { + name: 'AZURE_OPENAI_ENDPOINT' + value: azureOpenAIEndpoint + } + { + name: 'AZURE_OPENAI_DEPLOYMENT_NAME' + value: azureOpenAIDeploymentName + } + ] + ftpsState: 'FtpsOnly' + } + } + identity: { + type: 'UserAssigned' + userAssignedIdentities: { + '${identity.id}': {} + } + } +} + +// Register your web service as a bot with the Bot Framework +module azureBotRegistration './botRegistration/azurebot.bicep' = { + name: 'Azure-Bot-registration' + params: { + resourceBaseName: resourceBaseName + identityClientId: identity.properties.clientId + identityResourceId: identity.id + identityTenantId: identity.properties.tenantId + botAppDomain: webApp.properties.defaultHostName + botDisplayName: botDisplayName + } +} + +// The output will be persisted in .env.{envName}. Visit https://aka.ms/teamsfx-actions/arm-deploy for more details. +output BOT_AZURE_APP_SERVICE_RESOURCE_ID string = webApp.id +output BOT_DOMAIN string = webApp.properties.defaultHostName +output BOT_ID string = identity.properties.clientId +output BOT_TENANT_ID string = identity.properties.tenantId diff --git a/collaborator-agent/infra/azure.parameters.json b/collaborator-agent/infra/azure.parameters.json new file mode 100644 index 000000000..5776fd129 --- /dev/null +++ b/collaborator-agent/infra/azure.parameters.json @@ -0,0 +1,24 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentParameters.json#", + "contentVersion": "1.0.0.0", + "parameters": { + "resourceBaseName": { + "value": "bot${{RESOURCE_SUFFIX}}" + }, + "azureOpenAIKey": { + "value": "${{SECRET_AZURE_OPENAI_API_KEY}}" + }, + "azureOpenAIEndpoint": { + "value": "${{AZURE_OPENAI_ENDPOINT}}" + }, + "azureOpenAIDeploymentName": { + "value": "${{AZURE_OPENAI_DEPLOYMENT_NAME}}" + }, + "webAppSKU": { + "value": "B1" + }, + "botDisplayName": { + "value": "CollaboratorAgentInfra" + } + } +} \ No newline at end of file diff --git a/collaborator-agent/infra/botRegistration/azurebot.bicep b/collaborator-agent/infra/botRegistration/azurebot.bicep new file mode 100644 index 000000000..a5a27b8fe --- /dev/null +++ b/collaborator-agent/infra/botRegistration/azurebot.bicep @@ -0,0 +1,42 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@maxLength(42) +param botDisplayName string + +param botServiceName string = resourceBaseName +param botServiceSku string = 'F0' +param identityResourceId string +param identityClientId string +param identityTenantId string +param botAppDomain string + +// Register your web service as a bot with the Bot Framework +resource botService 'Microsoft.BotService/botServices@2021-03-01' = { + kind: 'azurebot' + location: 'global' + name: botServiceName + properties: { + displayName: botDisplayName + endpoint: 'https://${botAppDomain}/api/messages' + msaAppId: identityClientId + msaAppMSIResourceId: identityResourceId + msaAppTenantId:identityTenantId + msaAppType:'UserAssignedMSI' + } + sku: { + name: botServiceSku + } +} + +// Connect the bot service to Microsoft Teams +resource botServiceMsTeamsChannel 'Microsoft.BotService/botServices/channels@2021-03-01' = { + parent: botService + location: 'global' + name: 'MsTeamsChannel' + properties: { + channelName: 'MsTeamsChannel' + } +} diff --git a/collaborator-agent/infra/botRegistration/readme.md b/collaborator-agent/infra/botRegistration/readme.md new file mode 100644 index 000000000..d5416243c --- /dev/null +++ b/collaborator-agent/infra/botRegistration/readme.md @@ -0,0 +1 @@ +The `azurebot.bicep` module is provided to help you create Azure Bot service when you don't use Azure to host your app. If you use Azure as infrastrcture for your app, `azure.bicep` under infra folder already leverages this module to create Azure Bot service for you. You don't need to deploy `azurebot.bicep` again. \ No newline at end of file diff --git a/collaborator-agent/m365agents.local.yml b/collaborator-agent/m365agents.local.yml new file mode 100644 index 000000000..652f68b3f --- /dev/null +++ b/collaborator-agent/m365agents.local.yml @@ -0,0 +1,84 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +environmentFolderPath: ./env + +# Defines what the `provision` lifecycle step does with M365 Agents Toolkit. +# Runs first during Start Debugging (F5) or run manually using `teamsfx provision --env local`. +provision: + # Automates the creation of a Teams app registration and saves the App ID to an environment file. + - uses: teamsApp/create + with: + name: CollaboratorAgent${{APP_NAME_SUFFIX}} + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + # Create or reuse an existing Microsoft Entra application for bot. + - uses: aadApp/create + with: + # The Microsoft Entra application's display name + name: CollaboratorAgent${{APP_NAME_SUFFIX}} + generateClientSecret: true + generateServicePrincipal: true + signInAudience: AzureADMultipleOrgs + writeToEnvironmentFile: + # The Microsoft Entra application's client id created for bot. + clientId: BOT_ID + # The Microsoft Entra application's client secret created for bot. + clientSecret: SECRET_BOT_PASSWORD + # The Microsoft Entra application's object id created for bot. + objectId: BOT_OBJECT_ID + + # Automates the creation and configuration of a Bot Framework registration which is required for a bot. + # This configures the bot to use the Azure AD app registration created in the previous step. + # M365 Agents Toolkit automatically creates a local Dev Tunnel URL and updates BOT_ENDPOINT when debugging (F5). + - uses: botFramework/create + with: + botId: ${{BOT_ID}} + name: CollaboratorAgent + messagingEndpoint: ${{BOT_ENDPOINT}}/api/messages + description: '' + channels: + - name: msteams + + # Optional: Automates schema and error checking of the Teams app manifest and outputs the results in the console. + - uses: teamsApp/validateManifest + with: + manifestPath: ./appPackage/manifest.json + + # Automates the creation of a Teams app package (.zip). + - uses: teamsApp/zipAppPackage + with: + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + + # Automates updating the Teams app manifest in Teams Developer Portal using the App ID from the manifest file. + # This action ensures that any manifest changes are reflected when launching the app again in Teams. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + +# Defines what the `deploy` lifecycle step does with M365 Agents Toolkit. +# Runs after `provision` during Start Debugging (F5) or run manually using `teamsfx deploy --env local`. +deploy: + # Install any dependencies and build the web app using NPM + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install --no-audit --workspaces=false + # Provides the M365 Agents Toolkit .env file values to the apps runtime so they can be accessed with `process.env`. + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs + envs: + PORT: 3978 + CLIENT_ID: ${{BOT_ID}} + CLIENT_SECRET: ${{SECRET_BOT_PASSWORD}} + TENANT_ID: ${{TEAMS_APP_TENANT_ID}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/collaborator-agent/m365agents.playground.yml b/collaborator-agent/m365agents.playground.yml new file mode 100644 index 000000000..30e862b13 --- /dev/null +++ b/collaborator-agent/m365agents.playground.yml @@ -0,0 +1,29 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +deploy: + # Install development tool(s) + - uses: devTool/install + with: + testTool: + version: ~0.2.1 + symlinkDir: ./devTools/playground + + # Run npm command + - uses: cli/runNpmCommand + with: + args: install --no-audit --workspaces=false + + # Generate runtime environment variables + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs.playground + envs: + NODE_ENV: local + PORT: 3978 + TEAMSFX_NOTIFICATION_STORE_FILENAME: ${{TEAMSFX_NOTIFICATION_STORE_FILENAME}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/collaborator-agent/m365agents.yml b/collaborator-agent/m365agents.yml new file mode 100644 index 000000000..6c8353e44 --- /dev/null +++ b/collaborator-agent/m365agents.yml @@ -0,0 +1,142 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +additionalMetadata: + sampleTag: TeamsFx-Samples:collaborator-agent + +environmentFolderPath: ./env + +# Triggered when 'teamsapp provision' is executed +provision: + # Creates an app + - uses: teamsApp/create + with: + # app name + name: CollaboratorAgent${{APP_NAME_SUFFIX}} + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + - uses: arm/deploy # Deploy given ARM templates parallelly. + with: + # AZURE_SUBSCRIPTION_ID is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select a subscription. + # Referencing other environment variables with empty values + # will skip the subscription selection prompt. + subscriptionId: ${{AZURE_SUBSCRIPTION_ID}} + # AZURE_RESOURCE_GROUP_NAME is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select or create one + # resource group. + # Referencing other environment variables with empty values + # will skip the resource group selection prompt. + resourceGroupName: ${{AZURE_RESOURCE_GROUP_NAME}} + templates: + - path: ./infra/azure.bicep # Relative path to this file + # Relative path to this yaml file. + # Placeholders will be replaced with corresponding environment + # variable before ARM deployment. + parameters: ./infra/azure.parameters.json + # Required when deploying ARM template + deploymentName: Create-resources-for-bot + # Microsoft 365 Agents Toolkit will download this bicep CLI version from github for you, + # will use bicep CLI in PATH if you remove this config. + bicepCliVersion: v0.9.1 + + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + - uses: teamsApp/extendToM365 + with: + # Relative path to the build app package. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + titleId: M365_TITLE_ID + appId: M365_APP_ID + +# Triggered when 'teamsapp deploy' is executed +deploy: + # Run npm command + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install + - uses: cli/runNpmCommand + name: build app + with: + args: run build --if-present + # Deploy your application to Azure App Service using the zip deploy feature. + # For additional details, refer to https://aka.ms/zip-deploy-to-app-services. + - uses: azureAppService/zipDeploy + with: + # Deploy base folder + artifactFolder: . + # Ignore file location, leave blank will ignore nothing + ignoreFile: .webappignore + # The resource id of the cloud resource to be deployed to. + # This key will be generated by arm/deploy action automatically. + # You can replace it with your existing Azure Resource id + # or add it to your environment variable file. + resourceId: ${{BOT_AZURE_APP_SERVICE_RESOURCE_ID}} + +# Triggered when 'teamsapp publish' is executed +publish: + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Publish the app to + # Teams Admin Center (https://admin.teams.microsoft.com/policies/manage-apps) + # for review and approval + - uses: teamsApp/publishAppPackage + with: + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + publishedAppId: TEAMS_APP_PUBLISHED_APP_ID diff --git a/collaborator-agent/package-lock.json b/collaborator-agent/package-lock.json new file mode 100644 index 000000000..41cebf23a --- /dev/null +++ b/collaborator-agent/package-lock.json @@ -0,0 +1,5556 @@ +{ + "name": "collab-ts", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "collab-ts", + "version": "0.0.0", + "license": "MIT", + "dependencies": { + "@microsoft/teams.ai": "^2.0.0-preview.5", + 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+ "dev:teamsfx:launch-playground": "env-cmd --silent -f env/.env.playground teamsapptester start", + "generate-mock": "npx ts-node src/mock/processMessageContent.ts" + }, + "dependencies": { + "@microsoft/teams.ai": "^2.0.0-preview.5", + "@microsoft/teams.api": "^2.0.0-preview.5", + "@microsoft/teams.apps": "^2.0.0-preview.5", + "@microsoft/teams.cards": "^2.0.0-preview.5", + "@microsoft/teams.common": "^2.0.0-preview.5", + "@microsoft/teams.dev": "^2.0.0-preview.5", + "@microsoft/teams.graph": "^2.0.0-preview.5", + "@microsoft/teams.openai": "^2.0.0-preview.5", + "@types/better-sqlite3": "^7.6.12", + "better-sqlite3": "^11.9.0", + "node-html-markdown": "^1.3.0", + "winston": "^3.17.0", + "chrono-node": "^2.7.0" + }, + "devDependencies": { + "@types/node": "^22.5.4", + "@types/ws": "^8.18.1", + "dotenv": "^16.4.5", + "env-cmd": "latest", + "nodemon": "^3.1.4", + "rimraf": "^6.0.1", + "ts-morph": "^26.0.0", + "ts-node": "^10.9.2", + "tsup": "^8.4.0", + "typescript": "^5.8.3" + } +} diff --git a/collaborator-agent/src/agent/manager.ts b/collaborator-agent/src/agent/manager.ts new file mode 100644 index 000000000..6447cd6ae --- /dev/null +++ b/collaborator-agent/src/agent/manager.ts @@ -0,0 +1,90 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import { generateManagerPrompt } from './prompt'; +import { getModelConfig } from '../utils/config'; +import { MessageContext } from '../utils/messageContext'; +import { extractTimeRange } from '../utils/utils'; +import { CAPABILITY_DEFINITIONS } from '../capabilities/registry'; +import { ILogger } from '@microsoft/teams.common'; + +export interface ManagerResult { + response: string; +} + +// Manager prompt that coordinates all sub-tasks +// ChatPrompt with a couple of utility functions and delegation functions for each capability +export class ManagerPrompt { + private prompt: ChatPrompt; + + constructor(private context: MessageContext, private logger: ILogger) { + this.prompt = this.createManagerPrompt(); + this.addCapabilities(); + } + + private createManagerPrompt(): ChatPrompt { + const managerModelConfig = getModelConfig('manager'); + let prompt = new ChatPrompt({ + instructions: generateManagerPrompt(CAPABILITY_DEFINITIONS), + model: new OpenAIChatModel({ + model: managerModelConfig.model, + apiKey: managerModelConfig.apiKey, + endpoint: managerModelConfig.endpoint, + apiVersion: managerModelConfig.apiVersion, + }), + messages: this.context.memory.values() + }).function('calculate_time_range', 'Parse natural language time expressions and calculate exact start/end times for time-based queries', { + type: 'object', + properties: { + time_phrase: { + type: 'string', + description: 'Natural language time expression extracted from the user request (e.g., "yesterday", "last week", "2 days ago", "past 3 hours")' + } + }, + required: ['time_phrase'] + }, async (time_phrase : string) => { + this.logger.debug(`🕒 FUNCTION CALL: calculate_time_range - parsing "${time_phrase}"`); + + const timeRange = extractTimeRange(time_phrase); + + this.context.startTime = timeRange ? timeRange?.from.toISOString() : this.context.endTime; + this.context.endTime = timeRange ? timeRange?.to.toISOString() : this.context.endTime; + + this.logger.debug(this.context.startTime); + this.logger.debug(this.context.endTime); + }).function('clear_conversation_history', 'Clear conversation history in the database for the current conversation', + async () => { + this.context.memory.clear(); + this.logger.debug('The conversation history has been cleared!'); + } + ); + + return prompt; + } + + private addCapabilities() { + for (const capability of CAPABILITY_DEFINITIONS) { + this.prompt.function( + `delegate_to_${capability.name}`, + `Delegate to ${capability.name} capability`, + async () => { + return capability.handler(this.context, this.logger.child(capability.name)); + } + ); + } + } + + async processRequest(): Promise { + try { + const response = await this.prompt.send(this.context.text); + return { + response: response.content || 'No response generated' + }; + + } catch (error) { + this.logger.error('❌ Error in Manager:', error); + return { + response: `Sorry, I encountered an error processing your request: ${error instanceof Error ? error.message : 'Unknown error'}` + }; + } + } +} diff --git a/collaborator-agent/src/agent/prompt.ts b/collaborator-agent/src/agent/prompt.ts new file mode 100644 index 000000000..2432cdeda --- /dev/null +++ b/collaborator-agent/src/agent/prompt.ts @@ -0,0 +1,37 @@ +import { CapabilityDefinition } from "../capabilities/capability"; + +// Mapping capability names and descriptions to feed into manager prompt +// These fields are defined in CapabilityDefinition +export function generateManagerPrompt(capabilities: CapabilityDefinition[]): string { + const namesList = capabilities.map((cap, i) => `${i + 1}. **${cap.name}**`).join('\n'); + const capabilityDescriptions = capabilities.map((cap) => `${cap.manager_desc}`).join('\n'); + + return ` +You are the Manager for the Collaborator — a Microsoft Teams bot. You coordinate requests by deciding which specialized capability should handle each @mention. + + +${namesList} + + +1. Analyze the request’s intent and route it to the best-matching capability. +2. **If the request includes a time expression**, call calculate_time_range first using the exact phrase (e.g., "last week", "past 2 days"). +3. If no capability applies, respond conversationally and describe what Collaborator *can* help with. + + +Use the following descriptions to determine routing logic. Match based on intent, not just keywords. + +${capabilityDescriptions} + + +When using a function call to delegate, return the capability’s response **as-is**, with no added commentary or explanation. MAKE SURE TO NOT WRAP THE RESPONSE IN QUOTES. + +✅ GOOD: [capability response] +❌ BAD: Here’s what the Summarizer found: [capability response] + + +Be warm and helpful when the request is casual or unclear. Mention your abilities naturally. + +✅ Hi there! I can help with summaries, task tracking, or finding specific messages. +✅ Interesting! I specialize in conversation analysis and action items. Want help with that? +`; +} diff --git a/collaborator-agent/src/capabilities/actionItems/actionItems.ts b/collaborator-agent/src/capabilities/actionItems/actionItems.ts new file mode 100644 index 000000000..3f37d7fb5 --- /dev/null +++ b/collaborator-agent/src/capabilities/actionItems/actionItems.ts @@ -0,0 +1,56 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import { ACTION_ITEMS_PROMPT } from './prompt'; +import { BaseCapability, CapabilityDefinition } from '../capability'; +import { MessageContext } from '../../utils/messageContext'; +import { ILogger } from '@microsoft/teams.common'; + +export class ActionItemsCapability extends BaseCapability { + readonly name = 'action_items'; + + createPrompt(context: MessageContext): ChatPrompt { + const actionItemsModelConfig = this.getModelConfig('actionItems'); + + const prompt = new ChatPrompt({ + instructions: ACTION_ITEMS_PROMPT, + model: new OpenAIChatModel({ + model: actionItemsModelConfig.model, + apiKey: actionItemsModelConfig.apiKey, + endpoint: actionItemsModelConfig.endpoint, + apiVersion: actionItemsModelConfig.apiVersion, + }), + }).function( + 'generate_action_items', + 'Generate a list of action items based on the conversation', + async () => { + const allMessages = context.memory.getMessagesByTimeRange(context.startTime, context.endTime); + return JSON.stringify({ + messages: allMessages.map((msg: any) => ({ + timestamp: msg.timestamp, + name: msg.name, + content: msg.content + })) + }); + } + ); + + this.logger.debug(`Initialized Action Items Capability using ${context.members.length} members from context`); + return prompt; + } +} + +// Capability definition for manager registration +export const ACTION_ITEMS_CAPABILITY_DEFINITION: CapabilityDefinition = { + name: 'action_items', + manager_desc: `**Action Items**: Use for requests like: +- "next steps", "to-do", "assign task", "my tasks", "what needs to be done"`, + handler: async (context: MessageContext, logger: ILogger) => { + const actionItemsCapability = new ActionItemsCapability(logger); + const result = await actionItemsCapability.processRequest(context); + if (result.error) { + logger.error(`Error in Action Items Capability: ${result.error}`); + return `Error in Action Items Capability: ${result.error}`; + } + return result.response || 'No response from Action Items Capability'; + } +}; diff --git a/collaborator-agent/src/capabilities/actionItems/prompt.ts b/collaborator-agent/src/capabilities/actionItems/prompt.ts new file mode 100644 index 000000000..afca6b92f --- /dev/null +++ b/collaborator-agent/src/capabilities/actionItems/prompt.ts @@ -0,0 +1,34 @@ +export const ACTION_ITEMS_PROMPT = ` +You are the Action Items capability of the Collaborator bot. Your role is to analyze team conversations and extract a list of clear action items based on what people said. + + +Your job is to generate a concise, readable list of action items mentioned in the conversation. Focus on identifying: +- What needs to be done +- Who will do it (if mentioned) + + +- "I'll take care of this" +- "Can you follow up on..." +- "Let's finish this by tomorrow" +- "We still need to decide..." +- "Assign this to Alex" +- "We should check with finance" + + +- Return a plain text list of bullet points +- Each item should include a clear task and a person (if known) + + +- ✅ Sarah will create the draft proposal by Friday +- ✅ Alex will check budget numbers before the meeting +- ✅ Follow up with IT on access issues +- ✅ Decide final presenters by end of week + + +- If no one is assigned, just describe the task +- Skip greetings or summary text — just the action items +- Do not assign tasks unless the conversation suggests it + +Be clear, helpful, and concise. +`; + diff --git a/collaborator-agent/src/capabilities/actionItems/schema.ts b/collaborator-agent/src/capabilities/actionItems/schema.ts new file mode 100644 index 000000000..d3bc0ef91 --- /dev/null +++ b/collaborator-agent/src/capabilities/actionItems/schema.ts @@ -0,0 +1,3 @@ +// Function schemas for the action items capability + +// Not needed for this capability because it has no custom functions \ No newline at end of file diff --git a/collaborator-agent/src/capabilities/capability.ts b/collaborator-agent/src/capabilities/capability.ts new file mode 100644 index 000000000..94d158891 --- /dev/null +++ b/collaborator-agent/src/capabilities/capability.ts @@ -0,0 +1,80 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { MessageContext } from '../utils/messageContext'; +import { getModelConfig } from '../utils/config'; +import { ILogger } from '@microsoft/teams.common'; + +/** + * Interface for capability definition used by the manager + */ +export interface CapabilityDefinition { + name: string; + manager_desc: string; + handler: (context: MessageContext, logger: ILogger) => Promise; +} + +/** + * Result interface for capability responses + */ +export interface CapabilityResult { + response: string; + error?: string; +} + +/** + * Base interface that all capabilities must implement + */ +export interface Capability { + /** + * The name/type of this capability + */ + readonly name: string; + + /** + * Create a ChatPrompt instance for this capability + */ + createPrompt(context: MessageContext): ChatPrompt; + + /** + * Process a user request using this capability + */ + processRequest(context: MessageContext): Promise; + +} + +/** + * Abstract base class that provides common functionality for all capabilities + */ +export abstract class BaseCapability implements Capability { + abstract readonly name: string; + + constructor(public logger: ILogger) { } + + abstract createPrompt(context: MessageContext): ChatPrompt; + + /** + * Default implementation of processRequest that creates a prompt and sends the request + */ + async processRequest(context: MessageContext): Promise { + try { + const prompt = this.createPrompt(context); + + const response = await prompt.send(context.text); + + return { + response: response.content || 'No response generated' + }; + } catch (error) { + return { + response: '', + error: error instanceof Error ? error.message : 'Unknown error' + }; + } + } + + /** + * Helper method to get model configuration + */ + protected getModelConfig(configKey: string) { + return getModelConfig(configKey); + } +} \ No newline at end of file diff --git a/collaborator-agent/src/capabilities/registry.ts b/collaborator-agent/src/capabilities/registry.ts new file mode 100644 index 000000000..18695ecb2 --- /dev/null +++ b/collaborator-agent/src/capabilities/registry.ts @@ -0,0 +1,14 @@ +// Capabilities registry - imports all capability definitions for the manager + +// TO ADD NEW CAPABILITIES +// import the capability definition you've defined in the main file of your capability and add to the list below +import { CapabilityDefinition } from './capability'; +import { SUMMARIZER_CAPABILITY_DEFINITION } from './summarizer/summarize'; +import { ACTION_ITEMS_CAPABILITY_DEFINITION } from './actionItems/actionItems'; +import { SEARCH_CAPABILITY_DEFINITION } from './search/search'; + +export const CAPABILITY_DEFINITIONS: CapabilityDefinition[] = [ + SUMMARIZER_CAPABILITY_DEFINITION, + ACTION_ITEMS_CAPABILITY_DEFINITION, + SEARCH_CAPABILITY_DEFINITION +]; diff --git a/collaborator-agent/src/capabilities/search/prompt.ts b/collaborator-agent/src/capabilities/search/prompt.ts new file mode 100644 index 000000000..3971ae258 --- /dev/null +++ b/collaborator-agent/src/capabilities/search/prompt.ts @@ -0,0 +1,19 @@ +export const SEARCH_PROMPT = ` +You are the Search capability of the Collaborator. Your role is to help users find specific conversations or messages from their chat history. + +You can search through message history to find: +- Conversations between specific people +- Messages about specific topics +- Messages from specific time periods (time ranges will be pre-calculated by the Manager) +- Messages containing specific keywords + +When a user asks you to find something, use the search_messages function to search the database. + +RESPONSE FORMAT: +- Your search_messages function returns just the text associated with the search results +- Focus on creating a helpful, conversational summary that complements the citations +- Be specific about what was found and provide context about timing and participants +- If no results are found, suggest alternative search terms or broader criteria + +Be helpful and conversational in your responses. The user will see both your text response and interactive cards that let them jump to the original messages. +`; diff --git a/collaborator-agent/src/capabilities/search/schema.ts b/collaborator-agent/src/capabilities/search/schema.ts new file mode 100644 index 000000000..5bbefbf41 --- /dev/null +++ b/collaborator-agent/src/capabilities/search/schema.ts @@ -0,0 +1,28 @@ +import { ObjectSchema } from "@microsoft/teams.ai"; + +export interface SearchMessagesArgs { + keywords: string[]; + participants?: string[]; + max_results?: number; +} + +export const SEARCH_MESSAGES_SCHEMA : ObjectSchema = { + type: 'object', + properties: { + keywords: { + type: 'array', + items: { type: 'string' }, + description: 'Keywords to search for in the message content' + }, + participants: { + type: 'array', + items: { type: 'string' }, + description: 'Optional: list of participant names to filter messages by who said them' + }, + max_results: { + type: 'number', + description: 'Optional: maximum number of results to return (default is 5)' + } + }, + required: ['keywords'] +}; diff --git a/collaborator-agent/src/capabilities/search/search.ts b/collaborator-agent/src/capabilities/search/search.ts new file mode 100644 index 000000000..2a71b5f1e --- /dev/null +++ b/collaborator-agent/src/capabilities/search/search.ts @@ -0,0 +1,89 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import { CitationAppearance } from '@microsoft/teams.api'; +import { BaseCapability, CapabilityDefinition } from '../capability'; +import { MessageContext } from '../../utils/messageContext'; +import { MessageRecord } from '../../storage/storage'; +import { SEARCH_PROMPT } from './prompt'; +import { SEARCH_MESSAGES_SCHEMA, SearchMessagesArgs } from './schema'; +import { ILogger } from '@microsoft/teams.common'; + +const dateFormat = new Intl.DateTimeFormat("en-US"); + +export class SearchCapability extends BaseCapability { + readonly name = 'search'; + + createPrompt(context: MessageContext): ChatPrompt { + const searchModelConfig = this.getModelConfig('search'); + + const prompt = new ChatPrompt({ + instructions: SEARCH_PROMPT, + model: new OpenAIChatModel({ + model: searchModelConfig.model, + apiKey: searchModelConfig.apiKey, + endpoint: searchModelConfig.endpoint, + apiVersion: searchModelConfig.apiVersion, + }), + }).function('search_messages', 'Search the conversation for relevant messages', SEARCH_MESSAGES_SCHEMA, + async ({ keywords, participants, max_results }: SearchMessagesArgs) => { + + const selected = context.memory.getFilteredMessages(context.conversationId, keywords, context.startTime, context.endTime, participants, max_results); + this.logger.debug(selected); + + if (selected.length === 0) { + return 'No matching messages found.'; + } + + // Create and store citations + const citations = selected.map(msg => createCitationFromRecord(msg, context.conversationId)); + context.citations.push(...citations); + + // Return formatted message list with links + return selected.map(msg => { + const date = new Date(msg.timestamp).toLocaleString(); + const preview = msg.content.slice(0, 100); + const citation = citations.find(c => c.keywords?.includes(msg.name)); + const link = citation?.url || '#'; + return `• [${msg.name}](${link}) at ${date}: "${preview}"`; + }).join('\n'); + }); + + this.logger.debug('Initialized Search Capability!'); + return prompt; + } +} + +function createDeepLink(activityId: string, conversationId: string): string { + const contextParam = encodeURIComponent(JSON.stringify({ contextType: 'chat' })); + return `https://teams.microsoft.com/l/message/${encodeURIComponent(conversationId)}/${activityId}?context=${contextParam}`; +} + +function createCitationFromRecord(message: MessageRecord, conversationId: string): CitationAppearance { + const date = new Date(message.timestamp); + const formatted = dateFormat.format(date); + const preview = message.content.length > 120 ? message.content.slice(0, 120) + '...' : message.content; + const deepLink = createDeepLink(message.activity_id!, conversationId); + + return { + name: `Message from ${message.name}`, + url: deepLink, + abstract: `${formatted}: "${preview}"`, + keywords: [message.name] + }; +} + +// Capability definition for manager registration +export const SEARCH_CAPABILITY_DEFINITION: CapabilityDefinition = { + name: 'search', + manager_desc: `**Search**: Use for: +- "find", "search", "show me", "conversation with", "where did [person] say", "messages from last week"`, + handler: async (context: MessageContext, logger: ILogger) => { + const searchCapability = new SearchCapability(logger); + const result = await searchCapability.processRequest(context); + if (result.error) { + logger.error(`❌ Error in Search Capability: ${result.error}`); + return `Error in Search Capability: ${result.error}`; + } + return result.response || 'No response from Search Capability'; + } +}; \ No newline at end of file diff --git a/collaborator-agent/src/capabilities/summarizer/prompt.ts b/collaborator-agent/src/capabilities/summarizer/prompt.ts new file mode 100644 index 000000000..2d0bb80c6 --- /dev/null +++ b/collaborator-agent/src/capabilities/summarizer/prompt.ts @@ -0,0 +1,22 @@ +export const SUMMARY_PROMPT = ` +You are the Summarizer capability of the Collaborator that specializes in analyzing conversations between groups of people. +Your job is to retrieve and analyze conversation messages, then provide structured summaries with proper attribution. + + +The system uses the user's actual timezone from Microsoft Teams for all time calculations. +Time ranges will be pre-calculated by the Manager and passed to you as ISO timestamps when needed. + + +1. Use the appropriate function to retrieve the messages you need based on the user's request +2. If time ranges are specified in the request, they will be pre-calculated and provided as ISO timestamps +3. If no specific timespan is mentioned, default to the last 24 hours using get_messages_by_time_range +4. Analyze the retrieved messages and identify participants and topics +5. Return a BRIEF summary with proper participant attribution +6. Include participant names in your analysis and summary points +7. Be concise and focus on the key topics discussed + + +- Use bullet points for main topics +- Include participant names when attributing ideas or statements +- Provide a brief overview if requested +`; diff --git a/collaborator-agent/src/capabilities/summarizer/schema.ts b/collaborator-agent/src/capabilities/summarizer/schema.ts new file mode 100644 index 000000000..3c6ce0ade --- /dev/null +++ b/collaborator-agent/src/capabilities/summarizer/schema.ts @@ -0,0 +1,3 @@ +// Function schemas for the summarizer + +// Not needed for this capability because it has no custom functions diff --git a/collaborator-agent/src/capabilities/summarizer/summarize.ts b/collaborator-agent/src/capabilities/summarizer/summarize.ts new file mode 100644 index 000000000..1cfdaa262 --- /dev/null +++ b/collaborator-agent/src/capabilities/summarizer/summarize.ts @@ -0,0 +1,57 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import { SUMMARY_PROMPT } from './prompt'; +import { BaseCapability, CapabilityDefinition } from '../capability'; +import { MessageContext } from '../../utils/messageContext'; +import { ILogger } from '@microsoft/teams.common'; + +export class SummarizerCapability extends BaseCapability { + readonly name = 'summarizer'; + + createPrompt(context: MessageContext): ChatPrompt { + + const summarizerModelConfig = this.getModelConfig('summarizer'); + + const prompt = new ChatPrompt({ + instructions: SUMMARY_PROMPT, + model: new OpenAIChatModel({ + model: summarizerModelConfig.model, + apiKey: summarizerModelConfig.apiKey, + endpoint: summarizerModelConfig.endpoint, + apiVersion: summarizerModelConfig.apiVersion, + }), + }) + .function('summarize_conversation', 'Summarize the conversation history', + async () => { + const allMessages = context.memory.getMessagesByTimeRange(context.startTime, context.endTime); + return JSON.stringify({ + messages: allMessages.map((msg: any) => ({ + timestamp: msg.timestamp, + name: msg.name, + content: msg.content + })) + }); + } + ); + + this.logger.debug('Initialized Summarizer Capability!'); + return prompt; + } +} + +// Capability definition for manager registration +export const SUMMARIZER_CAPABILITY_DEFINITION: CapabilityDefinition = { + name: 'summarizer', + manager_desc: `**Summarizer**: Use for keywords like: +- "summarize", "overview", "recap", "conversation history" +- "what did we discuss", "catch me up", "who said what", "recent messages"`, + handler: async (context: MessageContext, logger: ILogger) => { + const summarizerCapability = new SummarizerCapability(logger); + const result = await summarizerCapability.processRequest(context); + if (result.error) { + logger.error(`Error in Summarizer Capability: ${result.error}`); + return `Error in Summarizer Capability: ${result.error}`; + } + return result.response || 'No response from Summarizer Capability'; + } +}; diff --git a/collaborator-agent/src/capabilities/template/prompt.ts b/collaborator-agent/src/capabilities/template/prompt.ts new file mode 100644 index 000000000..529f72a70 --- /dev/null +++ b/collaborator-agent/src/capabilities/template/prompt.ts @@ -0,0 +1,60 @@ +/** + * Template Capability Prompt + * + * This prompt defines how your capability should behave and respond to user requests. + * Customize this prompt to match your capability's specific domain and functionality. + */ + +export const TEMPLATE_PROMPT = `You are a specialized Template Capability within a Microsoft Teams collaboration agent. + +## Your Role and Responsibilities: +- TODO: Define your capability's specific purpose (e.g., "You handle document analysis tasks", "You manage calendar operations", etc.) +- TODO: Describe what types of user requests you should handle +- TODO: Explain your domain expertise + +## Core Functions: +- TODO: List the main functions your capability provides +- Example: "Analyze user requests for [specific domain]" +- Example: "Process [specific type of data]" +- Example: "Generate [specific type of output]" + +## Behavior Guidelines: +1. **Focus and Scope**: Only handle requests within your defined domain +2. **User Context**: Always consider the user's role, conversation context, and chat type (personal vs group) +3. **Time Awareness**: When time ranges are provided, use them to filter or scope your operations +4. **Error Handling**: If you cannot fulfill a request, explain why clearly and suggest alternatives +5. **Citations**: When referencing conversation content, provide proper citations + +## Response Format: +- Provide clear, actionable responses +- Use appropriate formatting (markdown, lists, etc.) for readability +- Include relevant context when helpful +- Be concise but comprehensive + +## Available Context: +- User information (name, ID, role) +- Conversation details (personal/group chat, participants) +- Time ranges (when specified by user) +- Conversation history access +- Storage capabilities for persistent data + +## TODO: Customize Instructions +Replace this section with specific instructions for your capability: + +Example for a Calendar Capability: +"When handling calendar requests: +- Check for scheduling conflicts +- Consider time zones +- Suggest optimal meeting times +- Format dates clearly +- Respect privacy in group chats" + +Example for a Document Capability: +"When handling document requests: +- Identify document types mentioned +- Suggest appropriate templates +- Provide formatting guidelines +- Respect access permissions +- Offer collaboration features" + +Remember: You are part of a larger agent system. Focus on your specialty and provide the best possible assistance within your domain.`; diff --git a/collaborator-agent/src/capabilities/template/schema.ts b/collaborator-agent/src/capabilities/template/schema.ts new file mode 100644 index 000000000..ae07fff8f --- /dev/null +++ b/collaborator-agent/src/capabilities/template/schema.ts @@ -0,0 +1,67 @@ +import { ObjectSchema } from "@microsoft/teams.ai"; + +/** + * Template Function Arguments Interface + * Define the shape of arguments that your capability expects + */ +export interface TemplateFunctionArgs { + // TODO: Add your capability-specific parameters here + // Examples: + + // For a document capability: + // document_type: string; + // format_preference?: string; + + // For a calendar capability: + // meeting_duration?: number; + // preferred_time?: string; + + // For now, using a generic message parameter + message?: string; + action?: string; +} + +/** + * Template Function Schema + * This schema defines the function parameters that will be available to the AI model + */ +export const TEMPLATE_FUNCTION_SCHEMA: ObjectSchema = { + type: 'object', + properties: { + + // TODO: Add your capability-specific parameters here + // Examples: + + // For a document capability: + // document_type: { + // type: 'string', + // description: 'Type of document to work with (e.g., "report", "meeting-notes", "proposal")', + // enum: ['report', 'meeting-notes', 'proposal', 'other'] + // }, + // format_preference: { + // type: 'string', + // description: 'Preferred output format (e.g., "markdown", "json", "plain-text")' + // }, + + // For a calendar capability: + // meeting_duration: { + // type: 'number', + // description: 'Duration of the meeting in minutes' + // }, + // preferred_time: { + // type: 'string', + // description: 'Preferred time for the meeting (e.g., "morning", "afternoon", "evening")' + // }, + + // Generic parameters for now + message: { + type: 'string', + description: 'Optional message or additional context for the template capability' + }, + action: { + type: 'string', + description: 'Optional action to perform with the template capability' + } + }, + required: [] // TODO: Specify which parameters are required +}; diff --git a/collaborator-agent/src/capabilities/template/template.ts b/collaborator-agent/src/capabilities/template/template.ts new file mode 100644 index 000000000..638badb3c --- /dev/null +++ b/collaborator-agent/src/capabilities/template/template.ts @@ -0,0 +1,75 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import { BaseCapability, CapabilityDefinition } from '../capability'; +import { MessageContext } from '../../utils/messageContext'; +import { TEMPLATE_PROMPT } from './prompt'; +import { TEMPLATE_FUNCTION_SCHEMA, TemplateFunctionArgs } from './schema'; +import { ILogger } from '@microsoft/teams.common'; + +/** + * Template Capability - Replace this description with your capability's purpose + * + * This template provides the basic structure for creating a new capability. + * Replace "Template" with your capability name throughout this file. + * + * Your capability should: + * 1. Have a clear, single responsibility + * 2. Process the user's request within its domain + * 3. Return structured results + * 4. Handle errors gracefully + */ +export class TemplateCapability extends BaseCapability { + readonly name = 'template'; + + createPrompt(context: MessageContext): ChatPrompt { + const templateModelConfig = this.getModelConfig('template'); + + const prompt = new ChatPrompt({ + instructions: TEMPLATE_PROMPT, + model: new OpenAIChatModel({ + model: templateModelConfig.model, + apiKey: templateModelConfig.apiKey, + endpoint: templateModelConfig.endpoint, + apiVersion: templateModelConfig.apiVersion, + }), + }).function('process_template_request', 'Process a template-specific request', TEMPLATE_FUNCTION_SCHEMA, + async (args: TemplateFunctionArgs) => { + + this.logger.debug(`🔧 Template Capability processing request with args:`, args); + + // TODO: Implement your capability's core logic here + + // Example: Basic request processing + const userRequest = context.text; + const userName = context.userName; + const isPersonalChat = context.isPersonalChat; + + // TODO: Replace this with your actual processing logic + const response = `Template capability received: "${userRequest}" from user ${userName} in ${isPersonalChat ? 'personal' : 'group'} chat. Args: ${JSON.stringify(args)}`; + + this.logger.debug(`✅ Template Capability completed successfully`); + + return response; + }); + + this.logger.debug('Initialized Template Capability!'); + return prompt; + } +} + +// Capability definition for manager registration +export const TEMPLATE_CAPABILITY_DEFINITION: CapabilityDefinition = { + name: 'template', + manager_desc: `**Template**: Use for: +- TODO: Add description of when to use this capability +- Example: "template requests", "custom processing", etc.`, + handler: async (context: MessageContext, logger: ILogger) => { + const templateCapability = new TemplateCapability(logger); + const result = await templateCapability.processRequest(context); + if (result.error) { + logger.error(`❌ Error in Template Capability: ${result.error}`); + return `Error in Template Capability: ${result.error}`; + } + return result.response || 'No response from Template Capability'; + } +}; diff --git a/collaborator-agent/src/index.ts b/collaborator-agent/src/index.ts new file mode 100644 index 000000000..47a377e16 --- /dev/null +++ b/collaborator-agent/src/index.ts @@ -0,0 +1,87 @@ +import { App } from '@microsoft/teams.apps'; +import { ManagerPrompt } from './agent/manager'; +import { validateEnvironment, logModelConfigs } from './utils/config'; +import { finalizePromptResponse, createMessageRecords } from './utils/utils'; +import { createMessageContext } from './utils/messageContext'; +import { SqliteKVStore } from './storage/storage'; +import { ConsoleLogger } from '@microsoft/teams.common'; + +const logger = new ConsoleLogger('collaborator', { level: 'debug' }); + +const app = new App({ + logger +}); + +// Initialize storage +const storage = new SqliteKVStore(logger.child('storage')); + +// Initialize feedback storage +const feedbackStorage = storage; + +app.on('message.submit.feedback', async ({ activity }) => { + try { + const { reaction, feedback: feedbackJson } = activity.value.actionValue; + + if (!activity.replyToId) { + logger.warn(`No replyToId found for messageId ${activity.id}`); + return; + } + + const success = feedbackStorage.recordFeedback(activity.replyToId, reaction, feedbackJson); + + if (success) { + logger.debug(`✅ Successfully recorded feedback for message ${activity.replyToId}`); + } else { + logger.warn(`Failed to record feedback for message ${activity.replyToId}`); + } + } catch (error) { + logger.error(`Error processing feedback: ${error instanceof Error ? error.message : 'Unknown error'}`); + } +}); + +app.on('message', async ({ send, activity, api }) => { + + const botMentioned = activity.entities?.some((e) => e.type === 'mention'); + const context = botMentioned ? await createMessageContext(storage, activity, api) : await createMessageContext(storage, activity); + + let trackedMessages; + + if (!activity.conversation.isGroup || botMentioned) { // process request if One-on-One chat or if @mentioned in Groupchat + await send({ type: 'typing' }); + + const manager = new ManagerPrompt(context, logger.child('manager')); + const result = await manager.processRequest(); + const formattedResult = finalizePromptResponse(result.response, context, logger); + + const sent = await send(formattedResult); + formattedResult.id = sent.id; + + trackedMessages = createMessageRecords([activity, formattedResult]); + } else { + trackedMessages = createMessageRecords([activity]); + } + + logger.debug(trackedMessages); + await context.memory.addMessages(trackedMessages); +}); + +app.on('install.add', async ({ send }) => { + await send( + "👋 Hi! I'm the Collab Agent 🚀. I'll listen to the conversation and can provide summaries, action items, or search for a message when asked!" + ); +}); + +(async ( ) => { + const port = +(process.env.PORT || 3978); + try { + validateEnvironment(logger); + logModelConfigs(logger); + } catch (error) { + logger.error('❌ Configuration error:', error); + process.exit(1); + } + + await app.start(port); + + logger.debug(`🚀 Collab Agent started on port ${port}`); +})(); diff --git a/collaborator-agent/src/storage/conversationMemory.ts b/collaborator-agent/src/storage/conversationMemory.ts new file mode 100644 index 000000000..a01904226 --- /dev/null +++ b/collaborator-agent/src/storage/conversationMemory.ts @@ -0,0 +1,36 @@ +import { SqliteKVStore } from './storage'; +import { MessageRecord } from './storage'; + +export class ConversationMemory { + + constructor(private store: SqliteKVStore, private conversationId: string) { + } + + async addMessages(messages: MessageRecord[]): Promise { + await this.store.addMessages(messages); + } + + values(): MessageRecord[] { + return this.store.get(this.conversationId) || []; + } + + length(): number { + return this.store.countMessages(this.conversationId); + } + + clear() { + this.store.clearConversation(this.conversationId); + } + + getMessagesByTimeRange(startTime: string, endTime: string): MessageRecord[] { + return this.store.getMessagesByTimeRange(this.conversationId, startTime, endTime); + } + + getRecentMessages(limit: number): MessageRecord[] { + return this.store.getRecentMessages(this.conversationId, limit); + } + + getFilteredMessages(conversationId: string, keywords: string[], startTime: string, endTime: string, participants?: string[], maxResults?: number): MessageRecord[] { + return this.store.getFilteredMessages(conversationId, keywords, startTime, endTime, participants, maxResults); + } +} \ No newline at end of file diff --git a/collaborator-agent/src/storage/storage.ts b/collaborator-agent/src/storage/storage.ts new file mode 100644 index 000000000..1e2a4c6b3 --- /dev/null +++ b/collaborator-agent/src/storage/storage.ts @@ -0,0 +1,182 @@ +import { Message } from '@microsoft/teams.ai'; +import { ILogger } from '@microsoft/teams.common'; +import Database from 'better-sqlite3'; +import path from 'node:path'; + +interface MessageRecordExtension { + id?: number; + conversation_id?: string; + content: string; + name: string; + timestamp: string; + activity_id?: string; // used to create deeplink for Search Capability +} + +export type MessageRecord = Message & MessageRecordExtension; + +export interface FeedbackRecord { + id: number; + reply_to_id: string; + reaction: 'like' | 'dislike' | string; + feedback: string | null; + created_at: string; +} + +export class SqliteKVStore { + private db: Database.Database; + + constructor(private logger: ILogger, dbPath?: string) { + // Use environment variable if set, otherwise use provided dbPath, otherwise use default relative to project root + const resolvedDbPath = process.env.CONVERSATIONS_DB_PATH + ? path.resolve(process.env.CONVERSATIONS_DB_PATH) + : dbPath + ? dbPath + : path.resolve(__dirname, '../../src/storage/conversations.db'); + this.db = new Database(resolvedDbPath); + this.initializeDatabase(); + } + private initializeDatabase(): void { + this.db.exec(` + CREATE TABLE IF NOT EXISTS conversations ( + conversation_id TEXT NOT NULL, + role TEXT NOT NULL, + name TEXT NOT NULL, + content TEXT NOT NULL, + activity_id TEXT NOT NULL, + timestamp TEXT NOT NULL, + blob TEXT NOT NULL + ) + `); + this.db.exec(` + CREATE INDEX IF NOT EXISTS idx_conversation_id ON conversations(conversation_id); + `); + this.db.exec(` + CREATE TABLE IF NOT EXISTS feedback ( + reply_to_id TEXT NOT NULL, -- the Teams message ID you replied to + reaction TEXT NOT NULL CHECK (reaction IN ('like','dislike')), + feedback TEXT, -- JSON or plain text + created_at TEXT NOT NULL DEFAULT (CURRENT_TIMESTAMP) + ); + `); + } + + clearAll(): void { + this.db.exec('DELETE FROM conversations; VACUUM;'); + this.logger.debug('🧹 Cleared all conversations from SQLite store.'); + } + + get(conversationId: string): MessageRecord[] { + const stmt = this.db.prepare<{}, { blob: string }>( + 'SELECT blob FROM conversations WHERE conversation_id = ? ORDER BY timestamp ASC' + ); + return stmt.all(conversationId).map((row) => JSON.parse(row.blob) as MessageRecord); + } + + getMessagesByTimeRange(conversationId: string, startTime: string, endTime: string): MessageRecord[] { + const stmt = this.db.prepare<{}, { blob: string }>( + 'SELECT blob FROM conversations WHERE conversation_id = ? AND timestamp >= ? AND timestamp <= ? ORDER BY timestamp ASC' + ); + return stmt.all([conversationId, startTime, endTime]).map(row => JSON.parse(row.blob) as MessageRecord); + } + + getRecentMessages(conversationId: string, limit: number = 10): MessageRecord[] { + const messages = this.get(conversationId); + return messages.slice(-limit); + } + + clearConversation(conversationId: string): void { + const stmt = this.db.prepare('DELETE FROM conversations WHERE conversation_id = ?'); + stmt.run(conversationId); + } + + addMessages(messages: MessageRecord[]): void { + const stmt = this.db.prepare( + 'INSERT INTO conversations (conversation_id, role, name, content, activity_id, timestamp, blob) VALUES (?, ?, ?, ?, ?, ?, ?)' + ); + for (const message of messages) { + stmt.run(message.conversation_id, message.role, message.name, message.content, message.activity_id, message.timestamp, JSON.stringify(message)); + } + } + + countMessages(conversationId: string): number { + const stmt = this.db.prepare('SELECT COUNT(*) as count FROM conversations WHERE conversation_id = ?'); + const result = stmt.get(conversationId) as { count: number }; + return result.count; + } + + // Clear all messages for debugging (optional utility method) + clearAllMessages(): void { + try { + const stmt = this.db.prepare('DELETE FROM conversations'); + const result = stmt.run(); + this.logger.debug(`🧹 Cleared all conversations from database. Deleted ${result.changes} records.`); + } catch (error) { + this.logger.error('❌ Error clearing all conversations:', error); + } + } + + getFilteredMessages( + conversationId: string, + keywords: string[], + startTime: string, + endTime: string, + participants?: string[], + maxResults?: number, + ): MessageRecord[] { + const keywordClauses = keywords.map(() => `content LIKE ?`).join(' OR '); + const participantClauses = participants?.map(() => `name LIKE ?`).join(' OR '); + + // Base where clauses + const whereClauses = [ + `conversation_id = ?`, + `timestamp >= ?`, + `timestamp <= ?`, + `(${keywordClauses})` + ]; + + // Values for the prepared statement + const values: (string | number)[] = [ + conversationId, + startTime, + endTime, + ...keywords.map(k => `%${k.toLowerCase()}%`) + ]; + + // Add participant filters if present + if (participants && participants.length > 0) { + whereClauses.push(`(${participantClauses})`); + values.push(...participants.map(p => `%${p.toLowerCase()}%`)); + } + + const limit = maxResults && typeof maxResults === 'number' ? maxResults : 5; + values.push(limit); + + const query = ` + SELECT blob FROM conversations + WHERE ${whereClauses.join(' AND ')} + ORDER BY timestamp DESC + LIMIT ? +`; + + const stmt = this.db.prepare(query); + const rows = stmt.all(...values) as Array<{ blob: string }>; + return rows.map(row => JSON.parse(row.blob) as MessageRecord); + } + // ===== FEEDBACK MANAGEMENT ===== + + // Initialize feedback record for a message with optional delegated capability + // Insert one row per submission + recordFeedback(replyToId: string, reaction: 'like' | 'dislike' | string, feedbackJson?: unknown): boolean { + try { + const stmt = this.db.prepare(` + INSERT INTO feedback (reply_to_id, reaction, feedback) + VALUES (?, ?, ?) + `); + const result = stmt.run(replyToId, reaction, feedbackJson ? JSON.stringify(feedbackJson) : null); + return result.changes > 0; + } catch (err) { + this.logger.error(`❌ recordFeedback error:`, err); + return false; + } + } +} diff --git a/collaborator-agent/src/utils/config.ts b/collaborator-agent/src/utils/config.ts new file mode 100644 index 000000000..f5b56473d --- /dev/null +++ b/collaborator-agent/src/utils/config.ts @@ -0,0 +1,89 @@ +import { ILogger } from "@microsoft/teams.common"; + +// Configuration for AI models used by different capabilities +export interface ModelConfig { + model: string; + apiKey: string; + endpoint: string; + apiVersion: string; +} + +// Model configurations for different capabilities +export const AI_MODELS = { + // Manager Capability - Uses lighter, faster model for routing decisions + MANAGER: { + model: 'gpt-4o-mini', + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + } as ModelConfig, + + // Summarizer Capability - Uses more capable model for complex analysis + SUMMARIZER: { + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME || 'gpt-4o', + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + } as ModelConfig, + + // Action Items Capability - Uses capable model for analysis and task management + ACTION_ITEMS: { + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME || 'gpt-4o', + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + } as ModelConfig, + + // Search Capability - Uses capable model for semantic search and deep linking + SEARCH: { + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME || 'gpt-4o', + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + } as ModelConfig, + + // Default model configuration (fallback) + DEFAULT: { + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME || 'gpt-4o', + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + } as ModelConfig, +}; + +// Helper function to get model config for a specific capability +export function getModelConfig(capabilityType: string): ModelConfig { + switch (capabilityType.toLowerCase()) { + case 'manager': + return AI_MODELS.MANAGER; + case 'summarizer': + return AI_MODELS.SUMMARIZER; + case 'actionitems': + return AI_MODELS.ACTION_ITEMS; + case 'search': + return AI_MODELS.SEARCH; + default: + return AI_MODELS.DEFAULT; + } +} + +// Environment validation +export function validateEnvironment(logger: ILogger): void { + const requiredEnvVars = ['SECRET_AZURE_OPENAI_API_KEY', 'AZURE_OPENAI_ENDPOINT']; + const missing = requiredEnvVars.filter(envVar => !process.env[envVar]); + + if (missing.length > 0) { + throw new Error(`Missing required environment variables: ${missing.join(', ')}`); + } + logger.debug('✅ Environment validation passed'); +} + +// Model configuration logging +export function logModelConfigs(logger: ILogger): void { + logger.debug('🔧 AI Model Configuration:'); + logger.debug(` Manager Capability: ${AI_MODELS.MANAGER.model}`); + logger.debug(` Summarizer Capability: ${AI_MODELS.SUMMARIZER.model}`); + logger.debug(` Action Items Capability: ${AI_MODELS.ACTION_ITEMS.model}`); + logger.debug(` Search Capability: ${AI_MODELS.SEARCH.model}`); + logger.debug(` Default Model: ${AI_MODELS.DEFAULT.model}`); +} diff --git a/collaborator-agent/src/utils/messageContext.ts b/collaborator-agent/src/utils/messageContext.ts new file mode 100644 index 000000000..0a12d10ba --- /dev/null +++ b/collaborator-agent/src/utils/messageContext.ts @@ -0,0 +1,94 @@ +import { IMessageActivity } from "@microsoft/teams.api"; +import { Client } from "@microsoft/teams.api"; +import { SqliteKVStore } from "../storage/storage"; +import { ConversationMemory } from '../storage/conversationMemory'; +import { CitationAppearance } from "@microsoft/teams.api"; + +/** + * Context object that stores all important information for processing a message + */ +export interface MessageContext { + text: string; + conversationId: string; + userId?: string; + userName: string; + timestamp: string; + isPersonalChat: boolean; + activityId: string; + members: Array<{ name: string, id: string }>; // Available conversation members + memory: ConversationMemory; // get convo memory by agent type + startTime: string; + endTime: string; + citations: CitationAppearance[] +} + +async function getConversationParticipantsFromAPI( + api: Client, + conversationId: string +): Promise> { + try { + const members = await api.conversations.members(conversationId).get(); + + if (Array.isArray(members)) { + const participants = members.map((member) => ({ + name: member.name || 'Unknown', + id: member.aadObjectId || member.id + })); + return participants; + } else { + return []; + } + } catch (error) { + return []; + } +} + +/** + * Factory function to create a MessageContext from a Teams activity + */ +export async function createMessageContext( + storage: SqliteKVStore, + activity: IMessageActivity, + api?: Client +): Promise { + + const text = activity.text || ''; + const conversationId = `${activity.conversation.id}`; + const userId = activity.from.id; + const userName = activity.from.name || 'User'; + const timestamp = activity.timestamp?.toString() || 'Unknown'; + const isPersonalChat = activity.conversation.conversationType === 'personal'; + const activityId = activity.id; + + // Fetch members for group conversations + let members: Array<{ name: string, id: string }> = []; + if (api) { + members = await getConversationParticipantsFromAPI(api, conversationId); + } + + const memory = new ConversationMemory(storage, conversationId); + + const now = new Date(); + + const startTime = new Date(now.getTime() - 24 * 60 * 60 * 1000).toISOString(); + const endTime = now.toISOString(); + const citations: CitationAppearance[] = []; + + const context: MessageContext = { + text, + conversationId, + userId, + userName, + timestamp, + isPersonalChat, + activityId, + members, + memory, + startTime, + endTime, + citations + }; + + return context; +} + diff --git a/collaborator-agent/src/utils/utils.ts b/collaborator-agent/src/utils/utils.ts new file mode 100644 index 000000000..bf697a06d --- /dev/null +++ b/collaborator-agent/src/utils/utils.ts @@ -0,0 +1,63 @@ +import { IMessageActivity, MessageActivity } from '@microsoft/teams.api'; +import * as chrono from 'chrono-node'; +import { MessageRecord } from '../storage/storage'; +import { MessageContext } from './messageContext'; +import { ILogger } from '@microsoft/teams.common'; + +/** + * Helper function to finalize and send a prompt response with citations + */ +export function finalizePromptResponse(text: string, context: MessageContext, logger: ILogger): MessageActivity { + const messageActivity = new MessageActivity(text) + .addAiGenerated() + .addFeedback(); + + // Add context.citations if provided + if (context.citations && context.citations.length > 0) { + logger.debug(`Adding ${context.citations.length} context.citations to message activity`); + context.citations.forEach((citation, index) => { + const citationNumber = index + 1; + messageActivity.addCitation(citationNumber, citation); + logger.debug(`Citation number ${citationNumber}`); + logger.debug(citation); + // The corresponding citation needs to be added in the message content + messageActivity.text += ` [${citationNumber}]`; + }); + } + + return messageActivity; +} + +/** + * Calculate start and end times based on lookback period + */ +export function extractTimeRange( + phrase: string, + now: Date = new Date() +): { from: Date; to: Date } | null { + const results = chrono.parse(phrase, now); + if (!results.length || !results[0].start) { + return null; + } + + const { start, end } = results[0]; + const from = start.date(); + const to = end?.date() ?? new Date(from.getTime() + 24 * 60 * 60 * 1000); // +1 day + + return { from, to }; +} + +export function createMessageRecords(activities: IMessageActivity[]): MessageRecord[] { + const conversation_id = activities[0].conversation.id; // get conversation ID from user message no matter what + return activities.map(activity => ({ + conversation_id: conversation_id, + role: activity.entities?.some( + (e: any) => e.additionalType?.includes('AIGeneratedContent') + ) ? 'model' : 'user', + content: activity.text?.replace(/<\/?at>/g, '') || '', + timestamp: activity.timestamp?.toString() || new Date().toISOString(), + activity_id: activity.id, + name: activity.from?.name || 'Collaborator' + })); +} + diff --git a/collaborator-agent/tsconfig.json b/collaborator-agent/tsconfig.json new file mode 100644 index 000000000..c4efba63c --- /dev/null +++ b/collaborator-agent/tsconfig.json @@ -0,0 +1,26 @@ +{ + "$schema": "https://json.schemastore.org/tsconfig", + "compilerOptions": { + "module": "NodeNext", + "target": "ESNext", + "moduleResolution": "NodeNext", + "strict": true, + "noImplicitAny": true, + "declaration": true, + "inlineSourceMap": true, + "esModuleInterop": true, + "allowSyntheticDefaultImports": true, + "experimentalDecorators": true, + "emitDecoratorMetadata": false, + "resolveJsonModule": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "pretty": true, + "outDir": "dist", + "rootDir": "src", + "types": ["node"] + }, + "ts-node": { + "transpileOnly": true + } +} diff --git a/collaborator-agent/tsup.config.js b/collaborator-agent/tsup.config.js new file mode 100644 index 000000000..32277a72f --- /dev/null +++ b/collaborator-agent/tsup.config.js @@ -0,0 +1,13 @@ +/** @type {import('tsup').Options} */ +module.exports = { + dts: true, + minify: false, + bundle: false, + sourcemap: true, + treeshake: true, + splitting: true, + clean: true, + outDir: 'dist', + entry: ['src/index.ts'], + format: ['cjs'], +}; diff --git a/data-analyst-agent-v2/.gitignore b/data-analyst-agent-v2/.gitignore new file mode 100644 index 000000000..adc8850cc --- /dev/null +++ b/data-analyst-agent-v2/.gitignore @@ -0,0 +1,12 @@ +# Ignore environment variable files +.env +.env.* +env/ + +# Ignore build output +dist/ + +evals/logs/ + +.localConfigs +.localConfigs.playground diff --git a/data-analyst-agent-v2/.vscode/launch.json b/data-analyst-agent-v2/.vscode/launch.json new file mode 100644 index 000000000..2999c0d42 --- /dev/null +++ b/data-analyst-agent-v2/.vscode/launch.json @@ -0,0 +1,95 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Launch Remote (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 1 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch Remote (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "presentation": { + "group": "remote", + "order": 2 + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Edge)", + "type": "msedge", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Launch App (Chrome)", + "type": "chrome", + "request": "launch", + "url": "https://teams.microsoft.com/l/app/${{local:TEAMS_APP_ID}}?installAppPackage=true&webjoin=true&${account-hint}", + "cascadeTerminateToConfigurations": ["Attach to Local Service"], + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + }, + { + "name": "Attach to Local Service", + "type": "node", + "request": "attach", + "port": 9239, + "restart": true, + "presentation": { + "group": "all", + "hidden": true + }, + "internalConsoleOptions": "neverOpen" + } + ], + "compounds": [ + { + "name": "Debug (Edge)", + "configurations": ["Launch App (Edge)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 1 + }, + "stopAll": true + }, + { + "name": "Debug (Chrome)", + "configurations": ["Launch App (Chrome)", "Attach to Local Service"], + "preLaunchTask": "Start App Locally", + "presentation": { + "group": "all", + "order": 2 + }, + "stopAll": true + }, + { + "name": "Debug in Microsoft 365 Agents Playground", + "configurations": ["Attach to Local Service"], + "preLaunchTask": "Start App in Microsoft 365 Agents Playground", + "presentation": { + "group": "local", + "order": 1 + }, + "stopAll": true + } + ] +} diff --git a/data-analyst-agent-v2/.vscode/tasks.json b/data-analyst-agent-v2/.vscode/tasks.json new file mode 100644 index 000000000..864fdca64 --- /dev/null +++ b/data-analyst-agent-v2/.vscode/tasks.json @@ -0,0 +1,204 @@ +// This file is automatically generated by Teams Toolkit. +// The teamsfx tasks defined in this file require Teams Toolkit version >= 5.0.0. +// See https://aka.ms/teamsfx-tasks for details on how to customize each task. +{ + "version": "2.0.0", + "tasks": [ + { + "label": "Start App Locally", + "dependsOn": [ + "Validate prerequisites", + "Start local tunnel", + "Provision", + "Deploy", + "Start application" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "m365Account", // Sign-in prompt for Microsoft 365 account, then validate if the account enables the sideloading permission. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239 // app inspector port for Node.js debugger + ] + } + }, + { + // Start the local tunnel service to forward public URL to local port and inspect traffic. + // See https://aka.ms/teamsfx-tasks/local-tunnel for the detailed args definitions. + "label": "Start local tunnel", + "type": "teamsfx", + "command": "debug-start-local-tunnel", + "args": { + "type": "dev-tunnel", + "ports": [ + { + "portNumber": 3978, + "protocol": "http", + "access": "public", + "writeToEnvironmentFile": { + "endpoint": "BOT_ENDPOINT", // output tunnel endpoint as BOT_ENDPOINT + "domain": "BOT_DOMAIN" // output tunnel domain as BOT_DOMAIN + } + } + ], + "env": "local" + }, + "isBackground": true, + "problemMatcher": "$teamsfx-local-tunnel-watch" + }, + { + // Create the debug resources. + // See https://aka.ms/teamsfx-tasks/provision to know the details and how to customize the args. + "label": "Provision", + "type": "teamsfx", + "command": "provision", + "args": { + "env": "local" + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "local" + } + }, + { + "label": "Start application", + "type": "shell", + "command": "npm run dev:teamsfx", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start App in Microsoft 365 Agents Playground", + "dependsOn": [ + "Validate prerequisites (Microsoft 365 Agents Playground)", + "Deploy (Microsoft 365 Agents Playground)", + "Start application (Microsoft 365 Agents Playground)", + "Start Microsoft 365 Agents Playground" + ], + "dependsOrder": "sequence" + }, + { + // Check all required prerequisites. + // See https://aka.ms/teamsfx-tasks/check-prerequisites to know the details and how to customize the args. + "label": "Validate prerequisites (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "debug-check-prerequisites", + "args": { + "prerequisites": [ + "nodejs", // Validate if Node.js is installed. + "portOccupancy" // Validate available ports to ensure those debug ones are not occupied. + ], + "portOccupancy": [ + 3978, // app service port + 9239, // app inspector port for Node.js debugger + 56150 // Microsoft 365 Agents Playground port + ] + } + }, + { + // Build project. + // See https://aka.ms/teamsfx-tasks/deploy to know the details and how to customize the args. + "label": "Deploy (Microsoft 365 Agents Playground)", + "type": "teamsfx", + "command": "deploy", + "args": { + "env": "playground" + } + }, + { + "label": "Start application (Microsoft 365 Agents Playground)", + "type": "shell", + "command": "npm run dev:teamsfx:playground", + "isBackground": true, + "options": { + "cwd": "${workspaceFolder}" + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": "[nodemon] starting", + "endsPattern": "listening|[nodemon] app crashed" + } + } + }, + { + "label": "Start Microsoft 365 Agents Playground", + "type": "shell", + "command": "npm run dev:teamsfx:launch-playground", + "isBackground": true, + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/playground/node_modules/.bin:${env:PATH}" + } + }, + "windows": { + "options": { + "env": { + "PATH": "${workspaceFolder}/devTools/playground/node_modules/.bin;${env:PATH}" + } + } + }, + "problemMatcher": { + "pattern": [ + { + "regexp": "^.*$", + "file": 0, + "location": 1, + "message": 2 + } + ], + "background": { + "activeOnStart": true, + "beginsPattern": ".*", + "endsPattern": "Listening on" + } + }, + "presentation": { + "panel": "dedicated", + "reveal": "silent" + } + } + ] +} diff --git a/data-analyst-agent-v2/README.md b/data-analyst-agent-v2/README.md new file mode 100644 index 000000000..0d9ae27c3 --- /dev/null +++ b/data-analyst-agent-v2/README.md @@ -0,0 +1,157 @@ +# Getting Started with Data Analyst Agent v2 + +This sample demonstrates how to build an AI-powered data analyst agent using **Microsoft Teams SDK** that can be integrated into Microsoft Teams. This template is an updated version of the previous Data Analyst Agent built in v1 of the SDK. It leverages the latest capabilities of the Microsoft Teams SDK to help users explore and visualize data through natural language conversations and Adaptive Cards charts. + +The Data Analyst Agent v2 transforms how teams interact with data by providing a natural language interface for database exploration and visualization. Users can ask questions in plain English and receive both SQL insights and interactive charts, making data analysis accessible to everyone on the team. + +![Data Analyst Agent v2 Demo](assets/demo.gif) + +## This sample illustrates +- Use Microsoft 365 Agents Toolkit to create an AI-powered data analysis bot +- Implement natural language to SQL query conversion using Microsoft Teams SDK +- Generate interactive data visualizations using Adaptive Cards +- Build real-time streamed responses for immediate user feedback +- Integrate with databases for live data exploration and analysis +- Create specialized prompt systems for SQL generation and card creation + +## Key Features + +- 🔍 Query databases using natural language +- 📊 Generate visualizations using [Adaptive Cards](https://adaptivecards.microsoft.com/?topic=welcome) from query results +- 📈 Analyze data patterns and trends +- 💬 Real-time streamed responses in one-on-one chats for immediate feedback + +## Prerequisite to use this sample +- [Node.js](https://nodejs.org/) version 20.x or higher +- A Microsoft 365 tenant in which you have permission to upload Teams apps. You can get a free Microsoft 365 developer tenant by joining the [Microsoft 365 developer program](https://developer.microsoft.com/en-us/microsoft-365/dev-program). +- [Microsoft 365 Agents Toolkit for VS Code](https://aka.ms/teams-toolkit) or [Microsoft 365 Agents Toolkit CLI](https://aka.ms/teams-toolkit-cli) +- OpenAI API Key or Azure OpenAI resource + +## Minimal path to awesome + +### Run the app locally + +1. Install dependencies: + ```bash + npm install + ``` + +2. Configure environment variables: + - Open the project in Visual Studio Code + - The Microsoft 365 Agents Toolkit will automatically generate the required environment files + - Update the `.localConfigs` file (or `.localConfigs.playground` if debug with playground) with your Azure OpenAI configuration: + - `SECRET_AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key + - `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint + - `AZURE_OPENAI_DEPLOYMENT_NAME`: Your Azure OpenAI deployment name (e.g., gpt-4o) + +3. Open the project in Visual Studio Code +4. Press F5 to start the debug session (Debug Edge) +5. Microsoft 365 Agents Toolkit will handle: + - Starting the local bot server + - Tunneling for external access + - Opening Teams with your bot loaded + +### Deploy the app to Azure + +1. Create an empty `.env.dev` file and place it in the `env` folder. +2. Create a `.env.dev.user` file in the `env` folder and add the following contents to it: + +``` +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= // Example: https://-eastus2.openai.azure.com/ +AZURE_OPENAI_DEPLOYMENT_NAME= // Example: gpt-4o +``` + +3. Navigate over to the Microsoft 365 Agents Toolkit Extension in VSCode, and login to your Azure & M365 credentials. +4. Then select "Provision" under the "Lifecycle" tab. Follow the instructions to select a resource group, and then click "Provision". +5. Once the resources have been provisioned successfully, select "Deploy". It can take 5-10 minutes to deploy your app. +6. Once the app has been deployed successfully, sideload `appPackage.dev.zip` file into Teams following the instructions [here](https://learn.microsoft.com/en-us/microsoftteams/platform/concepts/deploy-and-publish/apps-upload). + +### Preview the app in Teams +1. Launch remote debugging or use the deployed version +2. Install the app in Microsoft Teams +3. Start asking data analysis questions in natural language + +## Sample Questions + +You can ask the agent questions like: + +- "Show me the top-selling products this year" +- "What's the sales trend by territory?" + +See the [AdventureWorks README](src/data/README.md) for more details. + +## Advanced usage of this sample + +### Dataset + +This agent uses the AdventureWorks sample database, a Microsoft-provided dataset that simulates a bicycle manufacturer's data. The database includes: + +#### Core Business Areas + +- **Sales**: Orders, customers, territories +- **Production**: Products, inventory, work orders +- **Purchasing**: Vendors, purchase orders +- **HR**: Employees, departments +- **Person**: Contact information + +**Core Components** + +- **Data Analyst Agent**: Main orchestrator that handles user requests. Coordinates between SQL generation and card creation components to provide comprehensive data analysis responses. +- **SQL Prompt**: Specialized prompt system that converts natural language queries into accurate SQL statements for database operations. +- **Card Generation Prompt**: Dedicated prompt system that transforms query results into interactive Adaptive Cards visualizations for Teams. + +### Running Evals + +This project includes evaluation scripts to test the agent's ability to generate SQL queries and Adaptive Card visualizations. + +#### SQL Generation Evaluation + +To evaluate the agent's SQL query generation capabilities: + +```bash +# Run all SQL test cases +npm run eval:sql + +# Run a single test case (useful for debugging) +npm run eval:sql:one +``` + +The evaluation will: +1. Load test cases from `evals/sql-eval.jsonl` +2. Generate SQL queries for each test case +3. Compare the generated queries against expected results +4. Output results to both console and a log file in `evals/logs/sql-eval-[timestamp].log` + +#### Adaptive Card Generation Evaluation + +To evaluate the agent's Adaptive Card visualization capabilities: + +```bash +# Run all Adaptive Card test cases +npm run eval:ac + +# Run a single test case (useful for debugging) +npm run eval:ac:one +``` + +The evaluation will: +1. Load test cases from `evals/ac-eval.jsonl` +2. Generate Adaptive Cards for each test case +3. Compare the generated cards against expected results +4. Output results to both console and a log file in `evals/logs/ac-eval-[timestamp].log` + +Both evaluations will provide detailed feedback including: +- Success rate +- Individual test case results +- Expected vs actual outputs +- Judge's reasoning for each evaluation + +## Version History + +| Date | Author | Comments | +| ------------ | ---------- | -------------------------------------- | +| Oct 31, 2025 | qinzhouxu | Onboard sample with Microsoft Teams SDK | + +## Feedback +We really appreciate your feedback! If you encounter any issue or error, please report issues to us following the [Supporting Guide](https://github.com/OfficeDev/TeamsFx-Samples/blob/dev/SUPPORT.md). Meanwhile you can make [recording](https://aka.ms/teamsfx-record) of your journey with our product, they really make the product better. Thank you! \ No newline at end of file diff --git a/data-analyst-agent-v2/appPackage/color.png b/data-analyst-agent-v2/appPackage/color.png new file mode 100644 index 000000000..b5120d58a Binary files /dev/null and b/data-analyst-agent-v2/appPackage/color.png differ diff --git a/data-analyst-agent-v2/appPackage/manifest.json b/data-analyst-agent-v2/appPackage/manifest.json new file mode 100644 index 000000000..1e38a8cfe --- /dev/null +++ b/data-analyst-agent-v2/appPackage/manifest.json @@ -0,0 +1,85 @@ +{ + "$schema": "https://developer.microsoft.com/json-schemas/teams/v1.20/MicrosoftTeams.schema.json", + "version": "1.0.0", + "manifestVersion": "1.20", + "id": "${{TEAMS_APP_ID}}", + "name": { + "short": "data-analyst-v2-${{APP_NAME_SUFFIX}}", + "full": "data-analyst-v2" + }, + "developer": { + "name": "Microsoft", + "mpnId": "", + "websiteUrl": "https://microsoft.com", + "privacyUrl": "https://privacy.microsoft.com/privacystatement", + "termsOfUseUrl": "https://www.microsoft.com/legal/terms-of-use" + }, + "description": { + "short": "Expert data analyst for AdventureWorks database", + "full": "Expert data analyst for AdventureWorks database" + }, + "icons": { + "outline": "outline.png", + "color": "color.png" + }, + "accentColor": "#FFFFFF", + "staticTabs": [ + { + "entityId": "conversations", + "scopes": [ + "personal" + ] + }, + { + "entityId": "about", + "scopes": [ + "personal" + ] + } + ], + "bots": [ + { + "botId": "${{BOT_ID}}", + "scopes": [ + "personal", + "team", + "groupChat" + ], + "commandLists": [ + { + "scopes": [ + "personal", + "team", + "groupChat" + ], + "commands": [ + { + "title": "Annual sales from 2020-2022?", + "description": "View a chart showing sales trends over the past 3 years" + }, + { + "title": "Show examples of charts.", + "description": "Show examples of charts that can be created." + }, + { + "title": "What do you do?", + "description": "Learn about the capabilities of the Data Analyst." + } + ] + } + ], + "isNotificationOnly": false, + "supportsCalling": false, + "supportsVideo": false, + "supportsFiles": false + } + ], + "validDomains": [ + "${{BOT_DOMAIN}}", + "*.botframework.com" + ], + "webApplicationInfo": { + "id": "${{BOT_ID}}", + "resource": "api://botid-${{BOT_ID}}" + } +} \ No newline at end of file diff --git a/data-analyst-agent-v2/appPackage/outline.png b/data-analyst-agent-v2/appPackage/outline.png new file mode 100644 index 000000000..bd506e83e Binary files /dev/null and b/data-analyst-agent-v2/appPackage/outline.png differ diff --git a/data-analyst-agent-v2/assets/demo.gif b/data-analyst-agent-v2/assets/demo.gif new file mode 100644 index 000000000..e5ba566e9 Binary files /dev/null and b/data-analyst-agent-v2/assets/demo.gif differ diff --git a/data-analyst-agent-v2/env/.env.dev b/data-analyst-agent-v2/env/.env.dev new file mode 100644 index 000000000..4b07861c0 --- /dev/null +++ b/data-analyst-agent-v2/env/.env.dev @@ -0,0 +1,16 @@ +# This file includes environment variables that will be committed to git by default. + +# Built-in environment variables +TEAMSFX_ENV=dev +APP_NAME_SUFFIX=dev + +# Updating AZURE_SUBSCRIPTION_ID or AZURE_RESOURCE_GROUP_NAME after provision may also require an update to RESOURCE_SUFFIX, because some services require a globally unique name across subscriptions/resource groups. +AZURE_SUBSCRIPTION_ID= +AZURE_RESOURCE_GROUP_NAME= +RESOURCE_SUFFIX= + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_AZURE_APP_SERVICE_RESOURCE_ID= +BOT_DOMAIN= \ No newline at end of file diff --git a/data-analyst-agent-v2/env/.env.dev.user b/data-analyst-agent-v2/env/.env.dev.user new file mode 100644 index 000000000..6e3a844ee --- /dev/null +++ b/data-analyst-agent-v2/env/.env.dev.user @@ -0,0 +1,6 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/data-analyst-agent-v2/env/.env.local b/data-analyst-agent-v2/env/.env.local new file mode 100644 index 000000000..f3a75f872 --- /dev/null +++ b/data-analyst-agent-v2/env/.env.local @@ -0,0 +1,11 @@ +# This file includes environment variables that can be committed to git. It's gitignored by default because it represents your local development environment. + +# Built-in environment variables +TEAMSFX_ENV=local +APP_NAME_SUFFIX=local + +# Generated during provision, you can also add your own variables. +BOT_ID= +TEAMS_APP_ID= +BOT_DOMAIN= +BOT_ENDPOINT= \ No newline at end of file diff --git a/data-analyst-agent-v2/env/.env.local.user b/data-analyst-agent-v2/env/.env.local.user new file mode 100644 index 000000000..4cf7a1fb3 --- /dev/null +++ b/data-analyst-agent-v2/env/.env.local.user @@ -0,0 +1,8 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_BOT_PASSWORD= +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= diff --git a/data-analyst-agent-v2/env/.env.playground b/data-analyst-agent-v2/env/.env.playground new file mode 100644 index 000000000..574556cfb --- /dev/null +++ b/data-analyst-agent-v2/env/.env.playground @@ -0,0 +1,5 @@ +TEAMSFX_ENV=playground + +# Environment variables used by test tool +TEAMSAPPTESTER_PORT=56150 +TEAMSFX_NOTIFICATION_STORE_FILENAME=.notification.testtoolstore.json diff --git a/data-analyst-agent-v2/env/.env.playground.user b/data-analyst-agent-v2/env/.env.playground.user new file mode 100644 index 000000000..69055cf2f --- /dev/null +++ b/data-analyst-agent-v2/env/.env.playground.user @@ -0,0 +1,7 @@ +# This file includes environment variables that will not be committed to git by default. You can set these environment variables in your CI/CD system for your project. + +# If you're adding a secret value, add SECRET_ prefix to the name so Microsoft 365 Agents Toolkit can handle them properly +# Secrets. Keys prefixed with `SECRET_` will be masked in Microsoft 365 Agents Toolkit logs. +SECRET_AZURE_OPENAI_API_KEY= +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_DEPLOYMENT_NAME= \ No newline at end of file diff --git a/data-analyst-agent-v2/evals/ac-eval.jsonl b/data-analyst-agent-v2/evals/ac-eval.jsonl new file mode 100644 index 000000000..7d41e4393 --- /dev/null +++ b/data-analyst-agent-v2/evals/ac-eval.jsonl @@ -0,0 +1,482 @@ +[ + { + "task": "Vertical Bar Chart", + "visualization_type": "vertical bar", + "input_data": [ + { + "legend": "Sales Q1", + "value": 125000, + "color": "CATEGORICALRED" + }, + { + "legend": "Sales Q2", + "value": 168000, + "color": "CATEGORICALBLUE" + }, + { + "legend": "Sales Q3", + "value": 145000, + "color": "CATEGORICALGREEN" + } + ], + "expected_card": { + "type": "AdaptiveCard", + "version": "1.6", + "body": [ + { + "type": "Chart.VerticalBar", + "title": "Sales Data", + "xAxisTitle": "Quarters", + "yAxisTitle": "Sales Amount (USD)", + "data": [ + { + "x": "Sales Q1", + "y": 125000, + "color": "CATEGORICALRED" + }, + { + "x": "Sales Q2", + "y": 168000, + "color": "CATEGORICALBLUE" + }, + { + "x": "Sales Q3", + "y": 145000, + "color": "CATEGORICALGREEN" + } + ] + } + ] + } + }, + { + "task": "Horizontal Bar Chart", + "visualization_type": "horizontal bar chart", + "input_data": [ + { + "legend": "North America", + "value": 450000, + "color": "CATEGORICALBLUE" + }, + { + "legend": "Europe", + "value": 380000, + "color": "CATEGORICALGREEN" + }, + { + "legend": "Asia Pacific", + "value": 520000, + "color": "CATEGORICALRED" + }, + { + "legend": "Latin America", + "value": 180000, + "color": "CATEGORICALMARIGOLD" + } + ], + "expected_card": { + "type": "AdaptiveCard", + "version": "1.6", + "body": [ + { + "type": "Chart.HorizontalBar", + "title": "Regional Sales Data", + "xAxisTitle": "Sales Amount (USD)", + "yAxisTitle": "Regions", + "data": [ + { + "x": "North America", + "y": 450000, + "color": "CATEGORICALBLUE" + }, + { + "x": "Europe", + "y": 380000, + "color": "CATEGORICALGREEN" + }, + { + "x": "Asia Pacific", + "y": 520000, + "color": "CATEGORICALRED" + }, + { + "x": "Latin America", + "y": 180000, + "color": "CATEGORICALMARIGOLD" + } + ] + } + ] + } + }, + { + "task": "Line Chart", + "visualization_type": "line chart", + "input_data": [ + { + "legend": "Website Traffic", + "data": [ + { + "x": "2024-01-01", + "y": 1200 + }, + { + "x": "2024-02-01", + "y": 1500 + }, + { + "x": "2024-03-01", + "y": 1800 + }, + { + "x": "2024-04-01", + "y": 2200 + }, + { + "x": "2024-05-01", + "y": 2500 + }, + { + "x": "2024-06-01", + "y": 2800 + } + ], + "color": "SEQUENTIAL1" + } + ], + "expected_card": { + "type": "AdaptiveCard", + "version": "1.6", + "body": [ + { + "type": "Chart.Line", + "title": "Website Traffic Over Time", + "xAxisTitle": "Date", + "yAxisTitle": "Visitors", + "data": [ + { + "legend": "Website Traffic", + "values": [ + { + "x": "2024-01-01", + "y": 1200 + }, + { + "x": "2024-02-01", + "y": 1500 + }, + { + "x": "2024-03-01", + "y": 1800 + }, + { + "x": "2024-04-01", + "y": 2200 + }, + { + "x": "2024-05-01", + "y": 2500 + }, + { + "x": "2024-06-01", + "y": 2800 + } + ], + "color": "SEQUENTIAL1" + } + ] + } + ] + } + }, + { + "task": "Pie Chart", + "visualization_type": "pie chart", + "input_data": { + "title": "Device Usage Distribution", + "data": [ + { + "legend": "Mobile", + "value": 45, + "color": "CATEGORICALRED" + }, + { + "legend": "Desktop", + "value": 35, + "color": "CATEGORICALBLUE" + }, + { + "legend": "Tablet", + "value": 20, + "color": "CATEGORICALGREEN" + } + ] + }, + "expected_card": { + "type": "AdaptiveCard", + "version": "1.6", + "body": [ + { + "type": "Chart.Pie", + "title": "Device Usage Distribution", + "data": [ + { + "legend": "Mobile", + "value": 45, + "color": "CATEGORICALRED" + }, + { + "legend": "Desktop", + "value": 35, + "color": "CATEGORICALBLUE" + }, + { + "legend": "Tablet", + "value": 20, + "color": "CATEGORICALGREEN" + } + ] + } + ] + } + }, + { + "task": "Table", + "visualization_type": "table", + "input_data": { + "columns": [ + { + "title": "Product", + "width": 2 + }, + { + "title": "Category", + "width": 1 + }, + { + "title": "Price", + "width": 1 + }, + { + "title": "Stock", + "width": 1 + } + ], + "rows": [ + [ + "Mountain Bike", + "Bikes", + "$899.99", + "15" + ], + [ + "Road Bike", + "Bikes", + "$699.99", + "8" + ], + [ + "Helmet", + "Accessories", + "$49.99", + "45" + ], + [ + "Water Bottle", + "Accessories", + "$9.99", + "120" + ] + ] + }, + "expected_card": { + "type": "AdaptiveCard", + "version": "1.5", + "body": [ + { + "type": "Table", + "columns": [ + { + "width": 2 + }, + { + "width": 1 + }, + { + "width": 1 + }, + { + "width": 1 + } + ], + "rows": [ + { + "type": "TableRow", + "cells": [ + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Mountain Bike" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Bikes" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "$899.99" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "15" + } + ] + } + ] + }, + { + "type": "TableRow", + "cells": [ + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Road Bike" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Bikes" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "$699.99" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "8" + } + ] + } + ] + }, + { + "type": "TableRow", + "cells": [ + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Helmet" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Accessories" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "$49.99" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "45" + } + ] + } + ] + }, + { + "type": "TableRow", + "cells": [ + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Water Bottle" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "Accessories" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "$9.99" + } + ] + }, + { + "type": "TableCell", + "items": [ + { + "type": "TextBlock", + "text": "120" + } + ] + } + ] + } + ] + } + ] + } + } +] \ No newline at end of file diff --git a/data-analyst-agent-v2/evals/judge/ac.ts b/data-analyst-agent-v2/evals/judge/ac.ts new file mode 100644 index 000000000..6c9bc3adb --- /dev/null +++ b/data-analyst-agent-v2/evals/judge/ac.ts @@ -0,0 +1,102 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; + +interface ACJudgeInput { + input: string; + ideal: string; + completion: string; +} + +interface ACJudgeResult { + result: boolean; + score: number; + reasoning: string; +} + +export const ACJudge = () => { + const systemMessage = `You are comparing a submitted Adaptive Card to an expert answer for data visualization. +Compare the content and correctness of the submitted card with the expert answer. + +You MUST call the evaluateAdaptiveCard to log your results for every request! + +Focus primarily on these critical aspects: +1. Correct visualization type for the data (e.g. vertical bar, horizontal bar, pie chart) +2. Data is properly mapped and visualized + +Discrepancies involving this should NOT be considered incorrect: +- Titles, labels and text content +- Spacing or formatting +- Property ordering +- Additional optional properties +- Axis titles or legends + +Special Instructions: +- Color values do not have to be the same as input colors. +- Color values have to be one of the following: + * CATEGORICALRED, CATEGORICALPURPLE, CATEGORICALLAVENDER, + CATEGORICALBLUE, CATEGORICALLIGHTBLUE, CATEGORICALTEAL, + CATEGORICALGREEN, CATEGORICALLIME, CATEGORICALMARIGOLD + * SEQUENTIAL1 through SEQUENTIAL8 + * DIVERGINGBLUE, DIVERGINGLIGHTBLUE, DIVERGINGCYAN, + DIVERGINGTEAL, DIVERGINGYELLOW, DIVERGINGPEACH, + DIVERGINGLIGHTRED, DIVERGINGRED, DIVERGINGMAROON, + DIVERGINGGRAY + +As long as the correct chart type is used and the data is properly visualized, +consider the submission correct even if titles, labels, colors, or other properties differ from the expert answer.`; + + const prompt = new ChatPrompt({ + instructions: systemMessage, + model: new OpenAIChatModel({ + model: process.env.AOAI_MODEL!, + apiKey: process.env.AOAI_API_KEY!, + endpoint: process.env.AOAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + }), + }).function( + 'evaluateAdaptiveCard', + 'Determine correctness of adaptive card input', + { + type: 'object', + properties: { + result: { + type: 'boolean', + description: 'correctness of the adaptive card input compared to ideal card' + }, + reasoning: { + type: 'string', + description: 'reasoning for result' + } + }, + required: ['result', 'reasoning'], + }, + async ({ result, reasoning }: { result: Boolean, reasoning: String }) => { + return { + result, + reasoning + } + } + ); + + return { + evaluate: async ({ input, ideal, completion }: ACJudgeInput): Promise => { + const userPrompt = `[BEGIN DATA] +************ +[Data to Visualize]: ${input} +************ +[Expert Card]: ${ideal} +************ +[Submission]: ${completion} +************ +[END DATA]`; + const res = await prompt.send(userPrompt, { autoFunctionCalling: false }); + const functionCallArgs = res.function_calls?.[0].arguments; + + return { + result: functionCallArgs?.result || false, + score: functionCallArgs?.result ? 1.0 : 0.0, + reasoning: functionCallArgs?.reasoning || 'There was a problem during evaluation.' + } + }, + }; +}; diff --git a/data-analyst-agent-v2/evals/judge/sql.ts b/data-analyst-agent-v2/evals/judge/sql.ts new file mode 100644 index 000000000..3b2355e7f --- /dev/null +++ b/data-analyst-agent-v2/evals/judge/sql.ts @@ -0,0 +1,85 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; + +interface SQLJudgeInput { + input: string; // The question + ideal: string; // Expert answer + completion: string; // Submitted answer +} + +interface SQLJudgeResult { + result: boolean; + score: number; + reasoning: string; +} + +export const SQLJudge = () => { + const systemMessage = `You are comparing a submitted answer to an expert answer on a given SQL coding question. +Compare the content and correctness of the submitted SQL with the expert answer. +Ignore any differences in whitespace, style, or output column names. + +You MUST call the evaluateSQL to log your results for every request! + +Guidelines: +- Two SQL queries that return the same data are considered semantically equivalent, + even if one includes an ORDER BY clause and the other does not. This means small differences in logic can still be considered correct. +- Only consider ORDER BY differences as meaningful when the user query explicitly + requires or asks for results in a specific order +- If there is ambiguity in the user query, use best judgement to determine the correct answer + +The submitted answer may either be correct or incorrect. Determine which case applies.`; + + const prompt = new ChatPrompt({ + instructions: systemMessage, + model: new OpenAIChatModel({ + model: process.env.AOAI_MODEL!, + apiKey: process.env.AOAI_API_KEY!, + endpoint: process.env.AOAI_ENDPOINT!, + apiVersion: '2025-04-01-preview', + }), + }).function( + 'evaluateSQL', + 'Determine correctness of SQL query compared to expert answer', + { + type: 'object', + properties: { + result: { + type: 'boolean', + description: 'correctness of the submitted SQL compared to expert SQL' + }, + reasoning: { + type: 'string', + description: 'reasoning for result' + } + }, + required: ['result', 'reasoning'], + }, + async ({ result, reasoning }: { result: Boolean, reasoning: String }) => { + return { + result, + reasoning + } + } + ); + return { + evaluate: async ({ input, ideal, completion }: SQLJudgeInput): Promise => { + const userPrompt = `[BEGIN DATA] +************ +[Question]: ${input} +************ +[Expert]: ${ideal} +************ +[Submission]: ${completion} +************ +[END DATA]`; + const res = await prompt.send(userPrompt, { autoFunctionCalling: false }); + const functionCallArgs = res.function_calls?.[0]?.arguments; + + return { + result: functionCallArgs?.result || false, + score: functionCallArgs?.result ? 1.0 : 0.0, + reasoning: functionCallArgs?.reasoning || 'There was a problem during evaluation.' + }; + }, + }; +}; diff --git a/data-analyst-agent-v2/evals/skills/adaptive-card-generation.ts b/data-analyst-agent-v2/evals/skills/adaptive-card-generation.ts new file mode 100644 index 000000000..ae1c5d326 --- /dev/null +++ b/data-analyst-agent-v2/evals/skills/adaptive-card-generation.ts @@ -0,0 +1,14 @@ +import { ACJudge } from '../judge/ac'; +import { AgentEvaluator } from './base-evaluator'; + +new AgentEvaluator({ + evalName: 'ac-eval', + fileName: 'ac-eval.jsonl', + autoFunctionCalling: true, + judge: ACJudge, + generatePrompt: (tc) => + `Create an appropriate visualization for this data: ${JSON.stringify(tc.input_data)}. Please return a single card.\nUse the following type of visualization: ${tc.visualization_type}.`, + extractGenerated: (agent) => JSON.stringify(agent.attachments?.[0] ?? {}), + extractExpected: (tc) => JSON.stringify(tc.expected_card), + extractInput: (tc) => JSON.stringify(tc.input_data), +}).run(process.argv.includes('--run-one')); \ No newline at end of file diff --git a/data-analyst-agent-v2/evals/skills/base-evaluator.ts b/data-analyst-agent-v2/evals/skills/base-evaluator.ts new file mode 100644 index 000000000..23ed5347a --- /dev/null +++ b/data-analyst-agent-v2/evals/skills/base-evaluator.ts @@ -0,0 +1,122 @@ +import { ConsoleLogger } from '@microsoft/teams.common'; +import * as fs from 'fs'; +import * as path from 'path'; +import { createDataAnalystPrompt } from '../../src/prompt'; + +interface EvalCase { + task: string; + [key: string]: any; +} + +interface EvalResult { + task: string; + success: boolean; + judge_result: { + result: boolean; + score: number; + reasoning: string; + }; + [key: string]: any; +} + +type Judge = { + evaluate(args: { input: string; ideal: string; completion: string }): Promise<{ + result: boolean; + score: number; + reasoning: string; + }>; +}; + +interface EvaluationConfig { + evalName: string; + fileName: string; + autoFunctionCalling: boolean, + judge: () => Judge; + generatePrompt: (testCase: EvalCase) => string; + extractGenerated: (agent: any, response: any) => string; + extractExpected: (testCase: EvalCase) => string; + extractInput: (testCase: EvalCase) => string; +} + +export class AgentEvaluator { + constructor(private config: EvaluationConfig) {} + + async run(runOne = false) { + const log = new ConsoleLogger(this.config.evalName, { level: 'info' }); + + const evalFilePath = path.join(__dirname, '..', this.config.fileName); + const evalContent = fs.readFileSync(evalFilePath, 'utf-8'); + const evalCases: EvalCase[] = JSON.parse(evalContent); + + const casesToRun = runOne ? evalCases.slice(1, 2) : evalCases; + const results: EvalResult[] = []; + + for (const testCase of casesToRun) { + log.info(`Evaluating: ${testCase.task}`); + const judge = this.config.judge(); + const dataAnalyst = createDataAnalystPrompt(); + + try { + const prompt = this.config.generatePrompt(testCase); + const response = await dataAnalyst.prompt.send(prompt, {autoFunctionCalling: this.config.autoFunctionCalling}); + const generated = this.config.extractGenerated(dataAnalyst, response); + + const judgeResult = await judge.evaluate({ + input: this.config.extractInput(testCase), + ideal: this.config.extractExpected(testCase), + completion: generated, + }); + + results.push({ + task: testCase.task, + success: judgeResult.result, + judge_result: judgeResult, + expected: this.config.extractExpected(testCase), + actual: generated, + input: this.config.extractInput(testCase), + }); + } catch (error) { + const message = error instanceof Error ? error.message : 'Unknown error'; + results.push({ + task: testCase.task, + success: false, + judge_result: { + result: false, + score: 0, + reasoning: message, + }, + error: message, + }); + } + } + + this.outputResults(results); + } + + private outputResults(results: EvalResult[]) { + const total = results.length; + const passed = results.filter(r => r.success).length; + + let output = ''; + results.forEach((res, i) => { + output += `\n--- Test Case ${i + 1}: ${res.task} ---\n`; + output += `✅ Success: ${res.success}\n`; + output += `Input: ${res.input}\n`; + output += `Expected:\n${res.expected}\n`; + output += `Actual:\n${res.actual ?? 'N/A'}\n`; + output += `Score: ${res.judge_result.score}\n`; + output += `Reason: ${res.judge_result.reasoning}\n`; + if (res.error) output += `Error: ${res.error}\n`; + }); + + output += `\n=== ${this.config.evalName} Summary ===\n`; + output += `Total: ${total}, Passed: ${passed}, Failed: ${total - passed}, Success Rate: ${(100 * passed / total).toFixed(2)}%\n`; + + console.log(output); + const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); + const logDir = path.join(__dirname, '..', 'logs'); + if (!fs.existsSync(logDir)) fs.mkdirSync(logDir); + const logFile = path.join(logDir, `${this.config.evalName}-${timestamp}.log`); + fs.writeFileSync(logFile, output); + } +} diff --git a/data-analyst-agent-v2/evals/skills/sql-generation.ts b/data-analyst-agent-v2/evals/skills/sql-generation.ts new file mode 100644 index 000000000..3a30277cd --- /dev/null +++ b/data-analyst-agent-v2/evals/skills/sql-generation.ts @@ -0,0 +1,14 @@ +import { SQLJudge } from '../judge/sql'; +import { AgentEvaluator } from './base-evaluator'; + +new AgentEvaluator({ + evalName: 'sql-eval', + fileName: 'sql-eval.jsonl', + autoFunctionCalling: false, + judge: SQLJudge, + generatePrompt: (tc) => `Here's the user query: ${tc.user_query}. Let the SQL Prompt generate a SQL query based on the user's input and execute it.`, + extractGenerated: (_, response) => + response.function_calls?.[0].arguments.text || 'MISSING_SQL_OUTPUT', + extractExpected: (tc) => tc.sql_query, + extractInput: (tc) => tc.user_query, +}).run(process.argv.includes('--run-one')); \ No newline at end of file diff --git a/data-analyst-agent-v2/evals/sql-eval.jsonl b/data-analyst-agent-v2/evals/sql-eval.jsonl new file mode 100644 index 000000000..9ead173d5 --- /dev/null +++ b/data-analyst-agent-v2/evals/sql-eval.jsonl @@ -0,0 +1,457 @@ +[ + { + "task": "Count of Products by Category", + "user_query": "How many products are in each category?", + "sql_query": "SELECT pc.CategoryName, COUNT(p.ProductKey) AS ProductCount FROM ProductCategory pc LEFT JOIN ProductSubcategory psc ON pc.ProductCategoryKey = psc.ProductCategoryKey LEFT JOIN Product p ON psc.ProductSubcategoryKey = p.ProductSubcategoryKey GROUP BY pc.CategoryName;", + "result": [ + { + "CategoryName": "Accessories", + "ProductCount": 29 + }, + { + "CategoryName": "Bikes", + "ProductCount": 97 + }, + { + "CategoryName": "Clothing", + "ProductCount": 35 + }, + { + "CategoryName": "Components", + "ProductCount": 132 + } + ] + }, + { + "task": "Average Product Price by Subcategory", + "user_query": "What is the average price of products in each subcategory?", + "sql_query": "SELECT SubcategoryName, AVG(ProductPrice) as AveragePrice FROM ProductSubcategory ps JOIN Product p ON ps.ProductSubcategoryKey = p.ProductSubcategoryKey GROUP BY SubcategoryName ORDER BY AveragePrice DESC;", + "result": [ + { + "SubcategoryName": "Mountain Bikes", + "AveragePrice": 1637.01 + }, + { + "SubcategoryName": "Road Bikes", + "AveragePrice": 1529.64 + }, + { + "SubcategoryName": "Touring Bikes", + "AveragePrice": 1425.25 + }, + { + "SubcategoryName": "Road Frames", + "AveragePrice": 671.8 + }, + { + "SubcategoryName": "Mountain Frames", + "AveragePrice": 644.12 + }, + { + "SubcategoryName": "Touring Frames", + "AveragePrice": 631.42 + }, + { + "SubcategoryName": "Cranksets", + "AveragePrice": 278.99 + }, + { + "SubcategoryName": "Wheels", + "AveragePrice": 220.93 + }, + { + "SubcategoryName": "Forks", + "AveragePrice": 184.4 + }, + { + "SubcategoryName": "Bike Stands", + "AveragePrice": 159 + }, + { + "SubcategoryName": "Panniers", + "AveragePrice": 125 + }, + { + "SubcategoryName": "Bike Racks", + "AveragePrice": 120 + }, + { + "SubcategoryName": "Brakes", + "AveragePrice": 106.5 + }, + { + "SubcategoryName": "Derailleurs", + "AveragePrice": 106.48 + }, + { + "SubcategoryName": "Bottom Brackets", + "AveragePrice": 92.24 + }, + { + "SubcategoryName": "Bib-Shorts", + "AveragePrice": 89.99 + }, + { + "SubcategoryName": "Headsets", + "AveragePrice": 87.07 + }, + { + "SubcategoryName": "Tights", + "AveragePrice": 74.99 + }, + { + "SubcategoryName": "Handlebars", + "AveragePrice": 68.74 + }, + { + "SubcategoryName": "Shorts", + "AveragePrice": 64.28 + }, + { + "SubcategoryName": "Pedals", + "AveragePrice": 64.02 + }, + { + "SubcategoryName": "Vests", + "AveragePrice": 63.5 + }, + { + "SubcategoryName": "Hydration Packs", + "AveragePrice": 54.99 + }, + { + "SubcategoryName": "Jerseys", + "AveragePrice": 51.03 + }, + { + "SubcategoryName": "Saddles", + "AveragePrice": 39.63 + }, + { + "SubcategoryName": "Helmets", + "AveragePrice": 34.09 + }, + { + "SubcategoryName": "Lights", + "AveragePrice": 31.32 + }, + { + "SubcategoryName": "Gloves", + "AveragePrice": 30.77 + }, + { + "SubcategoryName": "Locks", + "AveragePrice": 25 + }, + { + "SubcategoryName": "Pumps", + "AveragePrice": 22.49 + }, + { + "SubcategoryName": "Fenders", + "AveragePrice": 21.98 + }, + { + "SubcategoryName": "Chains", + "AveragePrice": 20.24 + }, + { + "SubcategoryName": "Tires and Tubes", + "AveragePrice": 19.48 + }, + { + "SubcategoryName": "Socks", + "AveragePrice": 9.25 + }, + { + "SubcategoryName": "Caps", + "AveragePrice": 8.64 + }, + { + "SubcategoryName": "Bottles and Cages", + "AveragePrice": 7.99 + }, + { + "SubcategoryName": "Cleaners", + "AveragePrice": 7.95 + } + ] + }, + { + "task": "Customer Count by Country", + "user_query": "How many customers are there in each country?", + "sql_query": "SELECT t.Country, COUNT(s.CustomerKey) as CustomerCount FROM Territory t JOIN Sales s ON t.TerritoryKey = s.TerritoryKey GROUP BY t.Country ORDER BY CustomerCount DESC;", + "result": [ + { + "Country": "United States", + "CustomerCount": 7235 + }, + { + "Country": "Australia", + "CustomerCount": 3480 + }, + { + "Country": "United Kingdom", + "CustomerCount": 1822 + }, + { + "Country": "France", + "CustomerCount": 1705 + }, + { + "Country": "Germany", + "CustomerCount": 1675 + }, + { + "Country": "Canada", + "CustomerCount": 1499 + } + ] + }, + { + "task": "Top 10 Most Expensive Products", + "user_query": "What are the 10 most expensive products?", + "sql_query": "SELECT ProductName, ProductPrice FROM Product ORDER BY ProductPrice DESC LIMIT 10;", + "result": [ + { + "ProductName": "Road-150 Red, 62", + "ProductPrice": 3578.27 + }, + { + "ProductName": "Road-150 Red, 44", + "ProductPrice": 3578.27 + }, + { + "ProductName": "Road-150 Red, 48", + "ProductPrice": 3578.27 + }, + { + "ProductName": "Road-150 Red, 52", + "ProductPrice": 3578.27 + }, + { + "ProductName": "Road-150 Red, 56", + "ProductPrice": 3578.27 + }, + { + "ProductName": "Mountain-100 Silver, 38", + "ProductPrice": 3399.99 + }, + { + "ProductName": "Mountain-100 Silver, 42", + "ProductPrice": 3399.99 + }, + { + "ProductName": "Mountain-100 Silver, 44", + "ProductPrice": 3399.99 + }, + { + "ProductName": "Mountain-100 Silver, 48", + "ProductPrice": 3399.99 + }, + { + "ProductName": "Mountain-100 Black, 38", + "ProductPrice": 3374.99 + } + ] + }, + { + "task": "Customer Distribution by Education", + "user_query": "How many customers have each education level?", + "sql_query": "SELECT EducationLevel, COUNT(*) as CustomerCount FROM Customer GROUP BY EducationLevel ORDER BY CustomerCount DESC;", + "result": [ + { + "EducationLevel": "Bachelors", + "CustomerCount": 5261 + }, + { + "EducationLevel": "Partial College", + "CustomerCount": 4966 + }, + { + "EducationLevel": "High School", + "CustomerCount": 3241 + }, + { + "EducationLevel": "Graduate Degree", + "CustomerCount": 3125 + }, + { + "EducationLevel": "Partial High School", + "CustomerCount": 1555 + } + ] + }, + { + "task": "Monthly Sales Count for 2021", + "user_query": "How many sale transactions were there each month in 2021? ", + "sql_query": "SELECT strftime('%Y-%m', OrderDate) as Month, COUNT(*) as SalesCount FROM Sales WHERE OrderDate LIKE '2021%' GROUP BY Month ORDER BY Month;", + "result": [ + { + "Month": "2021-01", + "SalesCount": 242 + }, + { + "Month": "2021-02", + "SalesCount": 267 + }, + { + "Month": "2021-03", + "SalesCount": 266 + }, + { + "Month": "2021-04", + "SalesCount": 290 + }, + { + "Month": "2021-05", + "SalesCount": 329 + }, + { + "Month": "2021-06", + "SalesCount": 312 + }, + { + "Month": "2021-07", + "SalesCount": 1387 + }, + { + "Month": "2021-08", + "SalesCount": 3736 + }, + { + "Month": "2021-09", + "SalesCount": 3800 + }, + { + "Month": "2021-10", + "SalesCount": 4048 + }, + { + "Month": "2021-11", + "SalesCount": 4092 + }, + { + "Month": "2021-12", + "SalesCount": 5166 + } + ] + }, + { + "task": "Products with Most Returns", + "user_query": "Which products get returned the most?", + "sql_query": "SELECT p.ProductName, SUM(r.ReturnQuantity) AS TotalReturned FROM Returns r JOIN Product p ON r.ProductKey = p.ProductKey GROUP BY p.ProductName ORDER BY TotalReturned DESC LIMIT 10;", + "result": [ + { + "ProductName": "Water Bottle - 30 oz.", + "TotalReturned": 155 + }, + { + "ProductName": "Patch Kit/8 Patches", + "TotalReturned": 95 + }, + { + "ProductName": "Mountain Tire Tube", + "TotalReturned": 93 + }, + { + "ProductName": "Mountain Bottle Cage", + "TotalReturned": 77 + }, + { + "ProductName": "Sport-100 Helmet, Red", + "TotalReturned": 70 + }, + { + "ProductName": "Road Tire Tube", + "TotalReturned": 67 + }, + { + "ProductName": "Sport-100 Helmet, Blue", + "TotalReturned": 66 + }, + { + "ProductName": "Road Bottle Cage", + "TotalReturned": 56 + }, + { + "ProductName": "Fender Set - Mountain", + "TotalReturned": 54 + }, + { + "ProductName": "Sport-100 Helmet, Black", + "TotalReturned": 52 + } + ] + }, + { + "task": "Orders by Region", + "user_query": "How many orders are there in each region?", + "sql_query": "SELECT t.Region, COUNT(s.OrderNumber) as TotalOrders FROM Sales s JOIN Territory t ON s.TerritoryKey = t.TerritoryKey GROUP BY t.Region ORDER BY TotalOrders DESC;", + "result": [ + { + "Region": "Australia", + "OrderCount": 12409 + }, + { + "Region": "Southwest", + "OrderCount": 11463 + }, + { + "Region": "Northwest", + "OrderCount": 8267 + }, + { + "Region": "Canada", + "OrderCount": 6875 + }, + { + "Region": "United Kingdom", + "OrderCount": 6423 + }, + { + "Region": "Germany", + "OrderCount": 5289 + }, + { + "Region": "France", + "OrderCount": 5239 + }, + { + "Region": "Southeast", + "OrderCount": 34 + }, + { + "Region": "Northeast", + "OrderCount": 27 + }, + { + "Region": "Central", + "OrderCount": 20 + } + ] + }, + { + "task": "Customer Count by Income Range", + "user_query": "How many customers are in each income range? Here are the income ranges: $30k-$50k, $50k-$70k, Over $70k, Under $30k", + "sql_query": "SELECT CASE WHEN AnnualIncome < 30000 THEN 'Under $30k' WHEN AnnualIncome < 50000 THEN '$30k-$50k' WHEN AnnualIncome < 70000 THEN '$50k-$70k' ELSE 'Over $70k' END as IncomeRange, COUNT(*) as CustomerCount FROM Customer GROUP BY IncomeRange ORDER BY IncomeRange;", + "result": [ + { + "IncomeRange": "$30k-$50k", + "CustomerCount": 4924 + }, + { + "IncomeRange": "$50k-$70k", + "CustomerCount": 3733 + }, + { + "IncomeRange": "Over $70k", + "CustomerCount": 6611 + }, + { + "IncomeRange": "Under $30k", + "CustomerCount": 2880 + } + ] + } +] \ No newline at end of file diff --git a/data-analyst-agent-v2/infra/azure.bicep b/data-analyst-agent-v2/infra/azure.bicep new file mode 100644 index 000000000..434d22d73 --- /dev/null +++ b/data-analyst-agent-v2/infra/azure.bicep @@ -0,0 +1,112 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@secure() +param azureOpenAIKey string + +@secure() +param azureOpenAIEndpoint string + +@secure() +param azureOpenAIDeploymentName string + +param webAppSKU string + +@maxLength(42) +param botDisplayName string + +param serverfarmsName string = resourceBaseName +param webAppName string = resourceBaseName +param identityName string = resourceBaseName +param location string = resourceGroup().location + +resource identity 'Microsoft.ManagedIdentity/userAssignedIdentities@2023-01-31' = { + location: location + name: identityName +} + +// Compute resources for your Web App +resource serverfarm 'Microsoft.Web/serverfarms@2021-02-01' = { + kind: 'app' + location: location + name: serverfarmsName + sku: { + name: webAppSKU + } +} + +// Web App that hosts your agent +resource webApp 'Microsoft.Web/sites@2021-02-01' = { + kind: 'app' + location: location + name: webAppName + properties: { + serverFarmId: serverfarm.id + httpsOnly: true + siteConfig: { + alwaysOn: true + appSettings: [ + { + name: 'WEBSITE_RUN_FROM_PACKAGE' + value: '1' // Run Azure App Service from a package file + } + { + name: 'WEBSITE_NODE_DEFAULT_VERSION' + value: '~22' // Set NodeJS version to 22.x for your site + } + { + name: 'RUNNING_ON_AZURE' + value: '1' + } + { + name: 'clientId' + value: identity.properties.clientId + } + { + name: 'tenantId' + value: identity.properties.tenantId + } + { + name: 'AZURE_OPENAI_API_KEY' + value: azureOpenAIKey + } + { + name: 'AZURE_OPENAI_ENDPOINT' + value: azureOpenAIEndpoint + } + { + name: 'AZURE_OPENAI_DEPLOYMENT_NAME' + value: azureOpenAIDeploymentName + } + ] + ftpsState: 'FtpsOnly' + } + } + identity: { + type: 'UserAssigned' + userAssignedIdentities: { + '${identity.id}': {} + } + } +} + +// Register your web service as a bot with the Bot Framework +module azureBotRegistration './botRegistration/azurebot.bicep' = { + name: 'Azure-Bot-registration' + params: { + resourceBaseName: resourceBaseName + identityClientId: identity.properties.clientId + identityResourceId: identity.id + identityTenantId: identity.properties.tenantId + botAppDomain: webApp.properties.defaultHostName + botDisplayName: botDisplayName + } +} + +// The output will be persisted in .env.{envName}. Visit https://aka.ms/teamsfx-actions/arm-deploy for more details. +output BOT_AZURE_APP_SERVICE_RESOURCE_ID string = webApp.id +output BOT_DOMAIN string = webApp.properties.defaultHostName +output BOT_ID string = identity.properties.clientId +output BOT_TENANT_ID string = identity.properties.tenantId diff --git a/data-analyst-agent-v2/infra/azure.parameters.json b/data-analyst-agent-v2/infra/azure.parameters.json new file mode 100644 index 000000000..5e45fdf13 --- /dev/null +++ b/data-analyst-agent-v2/infra/azure.parameters.json @@ -0,0 +1,24 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentParameters.json#", + "contentVersion": "1.0.0.0", + "parameters": { + "resourceBaseName": { + "value": "bot${{RESOURCE_SUFFIX}}" + }, + "azureOpenAIKey": { + "value": "${{SECRET_AZURE_OPENAI_API_KEY}}" + }, + "azureOpenAIEndpoint": { + "value": "${{AZURE_OPENAI_ENDPOINT}}" + }, + "azureOpenAIDeploymentName": { + "value": "${{AZURE_OPENAI_DEPLOYMENT_NAME}}" + }, + "webAppSKU": { + "value": "B1" + }, + "botDisplayName": { + "value": "QA3Infra" + } + } +} \ No newline at end of file diff --git a/data-analyst-agent-v2/infra/botRegistration/azurebot.bicep b/data-analyst-agent-v2/infra/botRegistration/azurebot.bicep new file mode 100644 index 000000000..a5a27b8fe --- /dev/null +++ b/data-analyst-agent-v2/infra/botRegistration/azurebot.bicep @@ -0,0 +1,42 @@ +@maxLength(20) +@minLength(4) +@description('Used to generate names for all resources in this file') +param resourceBaseName string + +@maxLength(42) +param botDisplayName string + +param botServiceName string = resourceBaseName +param botServiceSku string = 'F0' +param identityResourceId string +param identityClientId string +param identityTenantId string +param botAppDomain string + +// Register your web service as a bot with the Bot Framework +resource botService 'Microsoft.BotService/botServices@2021-03-01' = { + kind: 'azurebot' + location: 'global' + name: botServiceName + properties: { + displayName: botDisplayName + endpoint: 'https://${botAppDomain}/api/messages' + msaAppId: identityClientId + msaAppMSIResourceId: identityResourceId + msaAppTenantId:identityTenantId + msaAppType:'UserAssignedMSI' + } + sku: { + name: botServiceSku + } +} + +// Connect the bot service to Microsoft Teams +resource botServiceMsTeamsChannel 'Microsoft.BotService/botServices/channels@2021-03-01' = { + parent: botService + location: 'global' + name: 'MsTeamsChannel' + properties: { + channelName: 'MsTeamsChannel' + } +} diff --git a/data-analyst-agent-v2/infra/botRegistration/readme.md b/data-analyst-agent-v2/infra/botRegistration/readme.md new file mode 100644 index 000000000..d5416243c --- /dev/null +++ b/data-analyst-agent-v2/infra/botRegistration/readme.md @@ -0,0 +1 @@ +The `azurebot.bicep` module is provided to help you create Azure Bot service when you don't use Azure to host your app. If you use Azure as infrastrcture for your app, `azure.bicep` under infra folder already leverages this module to create Azure Bot service for you. You don't need to deploy `azurebot.bicep` again. \ No newline at end of file diff --git a/data-analyst-agent-v2/m365agents.local.yml b/data-analyst-agent-v2/m365agents.local.yml new file mode 100644 index 000000000..ef9f1c4fe --- /dev/null +++ b/data-analyst-agent-v2/m365agents.local.yml @@ -0,0 +1,84 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +environmentFolderPath: ./env + +# Defines what the `provision` lifecycle step does with Teams Toolkit. +# Runs first during Start Debugging (F5) or run manually using `teamsfx provision --env local`. +provision: + # Automates the creation of a Teams app registration and saves the App ID to an environment file. + - uses: teamsApp/create + with: + name: QA3${{APP_NAME_SUFFIX}} + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + # Create or reuse an existing Microsoft Entra application for bot. + - uses: aadApp/create + with: + # The Microsoft Entra application's display name + name: QA3${{APP_NAME_SUFFIX}} + generateClientSecret: true + generateServicePrincipal: true + signInAudience: AzureADMultipleOrgs + writeToEnvironmentFile: + # The Microsoft Entra application's client id created for bot. + clientId: BOT_ID + # The Microsoft Entra application's client secret created for bot. + clientSecret: SECRET_BOT_PASSWORD + # The Microsoft Entra application's object id created for bot. + objectId: BOT_OBJECT_ID + + # Automates the creation and configuration of a Bot Framework registration which is required for a bot. + # This configures the bot to use the Azure AD app registration created in the previous step. + # Teams Toolkit automatically creates a local Dev Tunnel URL and updates BOT_ENDPOINT when debugging (F5). + - uses: botFramework/create + with: + botId: ${{BOT_ID}} + name: QA3 + messagingEndpoint: ${{BOT_ENDPOINT}}/api/messages + description: '' + channels: + - name: msteams + + # Optional: Automates schema and error checking of the Teams app manifest and outputs the results in the console. + - uses: teamsApp/validateManifest + with: + manifestPath: ./appPackage/manifest.json + + # Automates the creation of a Teams app package (.zip). + - uses: teamsApp/zipAppPackage + with: + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + + # Automates updating the Teams app manifest in Teams Developer Portal using the App ID from the manifest file. + # This action ensures that any manifest changes are reflected when launching the app again in Teams. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + +# Defines what the `deploy` lifecycle step does with Teams Toolkit. +# Runs after `provision` during Start Debugging (F5) or run manually using `teamsfx deploy --env local`. +deploy: + # Install any dependencies and build the web app using NPM + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install --no-audit --workspaces=false + # Provides the M365 Agents Toolkit .env file values to the apps runtime so they can be accessed with `process.env`. + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs + envs: + PORT: 3978 + CLIENT_ID: ${{BOT_ID}} + CLIENT_SECRET: ${{SECRET_BOT_PASSWORD}} + TENANT_ID: ${{TEAMS_APP_TENANT_ID}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/data-analyst-agent-v2/m365agents.playground.yml b/data-analyst-agent-v2/m365agents.playground.yml new file mode 100644 index 000000000..30e862b13 --- /dev/null +++ b/data-analyst-agent-v2/m365agents.playground.yml @@ -0,0 +1,29 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +deploy: + # Install development tool(s) + - uses: devTool/install + with: + testTool: + version: ~0.2.1 + symlinkDir: ./devTools/playground + + # Run npm command + - uses: cli/runNpmCommand + with: + args: install --no-audit --workspaces=false + + # Generate runtime environment variables + - uses: file/createOrUpdateEnvironmentFile + with: + target: ./.localConfigs.playground + envs: + NODE_ENV: local + PORT: 3978 + TEAMSFX_NOTIFICATION_STORE_FILENAME: ${{TEAMSFX_NOTIFICATION_STORE_FILENAME}} + AZURE_OPENAI_API_KEY: ${{SECRET_AZURE_OPENAI_API_KEY}} + AZURE_OPENAI_ENDPOINT: ${{AZURE_OPENAI_ENDPOINT}} + AZURE_OPENAI_DEPLOYMENT_NAME: ${{AZURE_OPENAI_DEPLOYMENT_NAME}} diff --git a/data-analyst-agent-v2/m365agents.yml b/data-analyst-agent-v2/m365agents.yml new file mode 100644 index 000000000..fc678f243 --- /dev/null +++ b/data-analyst-agent-v2/m365agents.yml @@ -0,0 +1,142 @@ +# yaml-language-server: $schema=https://aka.ms/m365-agents-toolkits/v1.11/yaml.schema.json +# Visit https://aka.ms/teamsfx-v5.0-guide for details on this file +# Visit https://aka.ms/teamsfx-actions for details on actions +version: v1.11 + +additionalMetadata: + sampleTag: TeamsFx-Samples:coffee-agent + +environmentFolderPath: ./env + +# Triggered when 'teamsapp provision' is executed +provision: + # Creates an app + - uses: teamsApp/create + with: + # app name + name: QA3${{APP_NAME_SUFFIX}} + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + teamsAppId: TEAMS_APP_ID + + - uses: arm/deploy # Deploy given ARM templates parallelly. + with: + # AZURE_SUBSCRIPTION_ID is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select a subscription. + # Referencing other environment variables with empty values + # will skip the subscription selection prompt. + subscriptionId: ${{AZURE_SUBSCRIPTION_ID}} + # AZURE_RESOURCE_GROUP_NAME is a built-in environment variable, + # if its value is empty, TeamsFx will prompt you to select or create one + # resource group. + # Referencing other environment variables with empty values + # will skip the resource group selection prompt. + resourceGroupName: ${{AZURE_RESOURCE_GROUP_NAME}} + templates: + - path: ./infra/azure.bicep # Relative path to this file + # Relative path to this yaml file. + # Placeholders will be replaced with corresponding environment + # variable before ARM deployment. + parameters: ./infra/azure.parameters.json + # Required when deploying ARM template + deploymentName: Create-resources-for-bot + # Microsoft 365 Agents Toolkit will download this bicep CLI version from github for you, + # will use bicep CLI in PATH if you remove this config. + bicepCliVersion: v0.9.1 + + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + - uses: teamsApp/extendToM365 + with: + # Relative path to the build app package. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + titleId: M365_TITLE_ID + appId: M365_APP_ID + +# Triggered when 'teamsapp deploy' is executed +deploy: + # Run npm command + - uses: cli/runNpmCommand + name: install dependencies + with: + args: install + - uses: cli/runNpmCommand + name: build app + with: + args: run build --if-present + # Deploy your application to Azure App Service using the zip deploy feature. + # For additional details, refer to https://aka.ms/zip-deploy-to-app-services. + - uses: azureAppService/zipDeploy + with: + # Deploy base folder + artifactFolder: . + # Ignore file location, leave blank will ignore nothing + ignoreFile: .webappignore + # The resource id of the cloud resource to be deployed to. + # This key will be generated by arm/deploy action automatically. + # You can replace it with your existing Azure Resource id + # or add it to your environment variable file. + resourceId: ${{BOT_AZURE_APP_SERVICE_RESOURCE_ID}} + +# Triggered when 'teamsapp publish' is executed +publish: + # Validate using manifest schema + - uses: teamsApp/validateManifest + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + # Build app package with latest env value + - uses: teamsApp/zipAppPackage + with: + # Path to manifest template + manifestPath: ./appPackage/manifest.json + outputZipPath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + outputFolder: ./appPackage/build + # Validate app package using validation rules + - uses: teamsApp/validateAppPackage + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Apply the app manifest to an existing app in + # Developer Portal. + # Will use the app id in manifest file to determine which app to update. + - uses: teamsApp/update + with: + # Relative path to this file. This is the path for built zip file. + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Publish the app to + # Teams Admin Center (https://admin.teams.microsoft.com/policies/manage-apps) + # for review and approval + - uses: teamsApp/publishAppPackage + with: + appPackagePath: ./appPackage/build/appPackage.${{TEAMSFX_ENV}}.zip + # Write the information of created resources into environment file for + # the specified environment variable(s). + writeToEnvironmentFile: + publishedAppId: TEAMS_APP_PUBLISHED_APP_ID diff --git a/data-analyst-agent-v2/package-lock.json b/data-analyst-agent-v2/package-lock.json new file mode 100644 index 000000000..05c049db4 --- /dev/null +++ b/data-analyst-agent-v2/package-lock.json @@ -0,0 +1,4940 @@ +{ + "name": "data-analyst-agent", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "data-analyst-agent", + "version": "0.0.0", + "license": "MIT", + "dependencies": { + 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dotenv/config ./src/index.ts\"", + "dev:teamsfx": "env-cmd --silent -f .localConfigs npm run dev", + "dev:teamsfx:playground": "env-cmd --silent -f .localConfigs.playground npm run dev", + "dev:teamsfx:launch-playground": "env-cmd --silent -f env/.env.playground teamsapptester start", + "eval:sql": "ts-node -r dotenv/config evals/skills/sql-generation.ts", + "eval:sql:one": "ts-node -r dotenv/config evals/skills/sql-generation.ts --run-one", + "eval:ac": "ts-node -r dotenv/config evals/skills/adaptive-card-generation.ts", + "eval:ac:one": "ts-node -r dotenv/config evals/skills/adaptive-card-generation.ts --run-one" + }, + "dependencies": { + "@microsoft/teams.ai": "^2.0.0-preview.9", + "@microsoft/teams.api": "^2.0.0-preview.9", + "@microsoft/teams.apps": "^2.0.0-preview.9", + "@microsoft/teams.cards": "^2.0.0-preview.9", + "@microsoft/teams.common": "^2.0.0-preview.9", + "@microsoft/teams.dev": "^2.0.0-preview.9", + "@microsoft/teams.graph": "^2.0.0-preview.9", + "@microsoft/teams.openai": "^2.0.0-preview.9", + "better-sqlite3": "^11.10.0", + "chalk": "^5.3.0", + "dotenv": "^16.4.5", + "loglevel": "^1.8.1" + }, + "devDependencies": { + "@types/better-sqlite3": "^7.6.13", + "@types/node": "^22.5.4", + "env-cmd": "latest", + "nodemon": "^3.1.4", + "rimraf": "^6.0.1", + "ts-node": "^10.9.2", + "tsup": "^8.4.0", + "typescript": "^5.4.5" + } +} \ No newline at end of file diff --git a/data-analyst-agent-v2/src/cards.ts b/data-analyst-agent-v2/src/cards.ts new file mode 100644 index 000000000..dc0e0934d --- /dev/null +++ b/data-analyst-agent-v2/src/cards.ts @@ -0,0 +1,101 @@ +import { + AdaptiveCard, + VerticalBarChart, + LineChart, + HorizontalBarChart, + PieChart, + TextBlock, + Table +} from '@microsoft/teams.cards'; +import { cardAttachment, CardAttachmentTypes } from '@microsoft/teams.api'; + +export function generateChartCard( + chartType: 'line' | 'verticalBar' | 'horizontalBar' | 'pie' | 'table', + rows: any[][], + options?: { + title?: string; + xAxisTitle?: string; + yAxisTitle?: string; + colorSet?: string; + color?: string; + showBarValues?: boolean; + } +): CardAttachmentTypes['adaptive'] { + const card = new AdaptiveCard(); + card.version = '1.5'; + + console.log('Generating chart card:', chartType, rows, options); + const { + title = 'Chart', + xAxisTitle = options?.xAxisTitle, + yAxisTitle = options?.yAxisTitle, + showBarValues + } = options || {}; + + let chart; + if (chartType === 'verticalBar') { + chart = new VerticalBarChart({ + title, + xAxisTitle, + yAxisTitle, + showBarValues, + data: rows.map(row => ({ + x: row[0], + y: row[1], + })) + }); + } else if (chartType === 'line') { + chart = new LineChart({ + title, + xAxisTitle, + yAxisTitle, + data: [ + { + legend: title, + values: rows.map(row => ({ + x: row[0], + y: row[1] + })), + } + ] + }); + } else if (chartType === 'horizontalBar') { + chart = new HorizontalBarChart({ + title, + xAxisTitle, + yAxisTitle, + data: rows.map(row => ({ + x: String(row[0]), // ensure x is always a string + y: row[1], + })) + }); + } else if (chartType === 'pie') { + chart = new PieChart({ + title, + data: rows.map(row => ({ + legend: row[0], + value: row[1], + })), + colorSet: "categorical" + }); + } else if (chartType === 'table') { + chart = new Table({ + firstRowAsHeaders: true, + columns: rows.map(r => ({})), // let autoformatting handle column widths + rows: rows.map(row => ({ + type: 'TableRow', + cells: row.map((cell: any) => ({ + type: 'TableCell', + items: [{ type: 'TextBlock', text: String(cell) }] + })) + })) + }); + } else { + throw new Error('Unsupported chart type'); + } + + card.body.push(new TextBlock(title, { weight: 'Bolder', size: 'Medium' })); + card.body.push(chart); + console.log('Generated card:', card); + return cardAttachment('adaptive', card); +} diff --git a/data-analyst-agent-v2/src/data/README.md b/data-analyst-agent-v2/src/data/README.md new file mode 100644 index 000000000..a25543049 --- /dev/null +++ b/data-analyst-agent-v2/src/data/README.md @@ -0,0 +1,19 @@ +# AdventureWorks + +![AdventureWorks](../../assets/adventureWorks-small.png) + +A SQLite Database for AdventureWorks, a fictional global manufacturing company that produces cycling equipment and accessories. + +This database was derived from [AdventureWorks sample](https://github.com/richhuwtaylor/adventure-works) + +## Table Structure + +The database schema for AdventureWorks includes the following tables: + +- **Territory**: Contains information about different territories, including region, country, and continent. +- **Customer**: Stores customer details such as name, birth date, marital status, gender, email address, annual income, total children, education level, occupation, and homeownership status. +- **ProductCategory**: Lists product categories. +- **ProductSubcategory**: Contains product subcategories and references the product categories. +- **Product**: Stores product details including SKU, name, model, description, color, size, style, cost, and price. It references the product subcategories. +- **Sales**: Records sales transactions, including order date, stock date, order number, product key, customer key, territory key, order line item, and order quantity. +- **Returns**: Tracks product returns, including territory key, return date, product key, and return quantity. \ No newline at end of file diff --git a/data-analyst-agent-v2/src/data/adventureworks.db b/data-analyst-agent-v2/src/data/adventureworks.db new file mode 100644 index 000000000..8d4df951e Binary files /dev/null and b/data-analyst-agent-v2/src/data/adventureworks.db differ diff --git a/data-analyst-agent-v2/src/data/data-analyst-examples.jsonl b/data-analyst-agent-v2/src/data/data-analyst-examples.jsonl new file mode 100644 index 000000000..bf4e54f49 --- /dev/null +++ b/data-analyst-agent-v2/src/data/data-analyst-examples.jsonl @@ -0,0 +1,144 @@ +[ + { + "user_message": "Create a bar chart showing the count of sub categories in each product category.", + "data_analyst_response": { + "chartType": "verticalBar", + "rows": [ + ["Accessories", 12], + ["Bikes", 3], + ["Clothing", 8], + ["Components", 14] + ], + "options": { + "title": "Subcategory Count by Product Category", + "xAxisTitle": "Category", + "yAxisTitle": "Subcategory Count" + } + } + }, + { + "user_message": "Can you list the sub categories in the Bikes category?", + "data_analyst_response": { + "rows": [ + ["Subcategories"], + ["Mountain Bikes"], + ["Road Bikes"], + ["Touring Bikes"] + ], + "options": { + "title": "Subcategories in Bikes" + } + } + }, + { + "user_message": "What were the annual sales from 2020-2022?", + "data_analyst_response": { + "chartType": "verticalBar", + "rows": [ + ["2020", 6404933.5803], + ["2021", 9324203.7917], + ["2022", 9185449.4473] + ], + "options": { + "title": "Annual Sales from 2020 to 2022", + "xAxisTitle": "Year", + "yAxisTitle": "Sales Amount" + } + } + }, + { + "user_message": "What are the different product categories?", + "data_analyst_response": { + "rows": [ + ["Product Categories"], + ["Bikes"], + ["Components"], + ["Clothing"], + ["Accessories"] + ], + "options": { + "title": "Product Categories" + } + } + }, + { + "user_message": "Show examples of charts.", + "data_analyst_response": [ + { + "chartType": "verticalBar", + "rows": [ + ["Category A", 15], + ["Category B", 30], + ["Category C", 22], + ["Category D", 40], + ["Category E", 5] + ], + "options": { + "title": "Vertical Bar Graph of Random Data", + "xAxisTitle": "Categories", + "yAxisTitle": "Values" + } + }, + { + "chartType": "horizontalBar", + "rows": [ + ["Category A", 28], + ["Category B", 18], + ["Category C", 23], + ["Category D", 35], + ["Category E", 10] + ], + "options": { + "title": "Horizontal Bar Graph of Random Data", + "xAxisTitle": "Values", + "yAxisTitle": "Categories" + } + }, + { + "chartType": "line", + "rows": [ + ["2023-01-01", 10, 12], + ["2023-01-02", 15, 18], + ["2023-01-03", 7, 20], + ["2023-01-04", 20, 15], + ["2023-01-05", 30, 25] + ], + "options": { + "title": "Line Chart of Random Data", + "xAxisTitle": "Date (yyyy-mm-dd)", + "yAxisTitle": "Values" + } + } + ] + }, + { + "user_message": "Show a pie chart of product sales by category.", + "data_analyst_response": { + "chartType": "pie", + "rows": [ + ["Bikes", 5000000], + ["Components", 2000000], + ["Clothing", 1500000], + ["Accessories", 1000000] + ], + "options": { + "title": "Product Sales by Category" + } + } + }, + { + "user_message": "Show a table of the top 3 products by sales.", + "data_analyst_response": { + "chartType": "table", + "rows": [ + ["Product Name", "Category", "Sales"], + ["Road-150 Red, 62", "Bikes", 3578], + ["Mountain-200 Black, 46", "Bikes", 2890], + ["Sport-100 Helmet, Blue", "Accessories", 1500] + ], + "options": { + "title": "Top 3 Products by Sales" + } + } + } +] \ No newline at end of file diff --git a/data-analyst-agent-v2/src/data/schema.sql b/data-analyst-agent-v2/src/data/schema.sql new file mode 100644 index 000000000..0bc0c7d66 --- /dev/null +++ b/data-analyst-agent-v2/src/data/schema.sql @@ -0,0 +1,82 @@ +-- Enable foreign key constraints +PRAGMA foreign_keys = ON; + +-- Create Territory table +CREATE TABLE Territory ( + TerritoryKey INTEGER PRIMARY KEY, + Region TEXT NOT NULL, + Country TEXT NOT NULL, + Continent TEXT NOT NULL +); + +-- Create Customer table +CREATE TABLE Customer ( + CustomerKey INTEGER PRIMARY KEY, + Prefix TEXT, + FirstName TEXT, + LastName TEXT, + BirthDate DATETIME, + MaritalStatus TEXT, + Gender TEXT, + EmailAddress TEXT, + AnnualIncome INTEGER, + TotalChildren INTEGER, + EducationLevel TEXT, + Occupation TEXT, + HomeOwner TEXT +); + +-- Create ProductCategory table +CREATE TABLE ProductCategory ( + ProductCategoryKey INTEGER PRIMARY KEY, + CategoryName TEXT NOT NULL +); + +-- Create ProductSubcategory table +CREATE TABLE ProductSubcategory ( + ProductSubcategoryKey INTEGER PRIMARY KEY, + SubcategoryName TEXT NOT NULL, + ProductCategoryKey INTEGER NOT NULL, + FOREIGN KEY (ProductCategoryKey) REFERENCES ProductCategory(ProductCategoryKey) +); + +-- Create Product table +CREATE TABLE Product ( + ProductKey INTEGER PRIMARY KEY, + ProductSubcategoryKey INTEGER, + ProductSKU TEXT NOT NULL, + ProductName TEXT NOT NULL, + ModelName TEXT, + ProductDescription TEXT, + ProductColor TEXT, + ProductSize TEXT, + ProductStyle TEXT, + ProductCost REAL, + ProductPrice REAL, + FOREIGN KEY (ProductSubcategoryKey) REFERENCES ProductSubcategory(ProductSubcategoryKey) +); + +-- Create Sales table +CREATE TABLE Sales ( + OrderDate DATETIME NOT NULL, + StockDate DATETIME NOT NULL, + OrderNumber TEXT NOT NULL, + ProductKey INTEGER NOT NULL, + CustomerKey INTEGER NOT NULL, + TerritoryKey INTEGER NOT NULL, + OrderLineItem INTEGER NOT NULL, + OrderQuantity INTEGER NOT NULL, + FOREIGN KEY (ProductKey) REFERENCES Product(ProductKey), + FOREIGN KEY (CustomerKey) REFERENCES Customer(CustomerKey), + FOREIGN KEY (TerritoryKey) REFERENCES Territory(TerritoryKey) +); + +-- Create Returns table +CREATE TABLE Returns ( + TerritoryKey INTEGER NOT NULL, + ReturnDate DATETIME NOT NULL, + ProductKey INTEGER NOT NULL, + ReturnQuantity INTEGER NOT NULL, + FOREIGN KEY (TerritoryKey) REFERENCES Territory(TerritoryKey), + FOREIGN KEY (ProductKey) REFERENCES Product(ProductKey) +); \ No newline at end of file diff --git a/data-analyst-agent-v2/src/index.ts b/data-analyst-agent-v2/src/index.ts new file mode 100644 index 000000000..bf91aa501 --- /dev/null +++ b/data-analyst-agent-v2/src/index.ts @@ -0,0 +1,59 @@ +import { App } from '@microsoft/teams.apps'; +import { ConsoleLogger } from '@microsoft/teams.common'; +import { createDataAnalystPrompt } from './prompt'; +import { MessageActivity } from '@microsoft/teams.api'; +import { Message } from '@microsoft/teams.ai'; + +const conversationHistoryById = new Map(); + +const app = new App({ + logger: new ConsoleLogger('adventureworks-data-analyst', { level: 'debug' }) +}); + +app.on('install.add', async ({ send }) => { + await send( + "👋 Hi! I'm your Data Analyst Agent. Ask me about your data and I'll help you explore it with SQL and visualizations!" + ); +}); + +app.on('message', async ({ send, activity, stream }) => { + await send({ type: 'typing' }); + + const conversationId = activity.conversation.id; + + let conversationHistory = conversationHistoryById.get(conversationId); + if (!conversationHistory) { + conversationHistory = []; + conversationHistoryById.set(conversationId, conversationHistory); + } + + const { prompt, attachments } = createDataAnalystPrompt(conversationHistory); + + // Only stream chunked response if in one-on-one chat, otherwise get full response back before sending + const res = activity.conversation.isGroup + ? await prompt.send(activity.text) + : await prompt.send(activity.text, { + onChunk: (chunk) => { + stream.emit(chunk); + } + }); + + const resultMessage = new MessageActivity().addAiGenerated(); + if (attachments.length > 0) { + // Add attachments to result if there are any + resultMessage.addAttachments(...attachments); + } + + if (activity.conversation.isGroup) { + // Send text and attachments as one message in group chats + if (res.content) resultMessage.addText(res.content); + await send(resultMessage); + } else { + // Stream attachments if in one-on-one chats + stream.emit(resultMessage); + } +}); + +(async () => { + await app.start(+(process.env.PORT || 3978)); +})(); \ No newline at end of file diff --git a/data-analyst-agent-v2/src/prompt.ts b/data-analyst-agent-v2/src/prompt.ts new file mode 100644 index 000000000..c98296e0a --- /dev/null +++ b/data-analyst-agent-v2/src/prompt.ts @@ -0,0 +1,130 @@ +import { ChatPrompt } from '@microsoft/teams.ai'; +import { OpenAIChatModel } from '@microsoft/teams.openai'; +import fs from 'fs'; +import { pathToSrc } from './utils'; +import { chartCreationSchema, executeSqlSchema } from './schema'; +import Database from 'better-sqlite3'; +import { generateChartCard } from './cards'; +import { Message } from '@microsoft/teams.ai'; +import { Attachment } from '@microsoft/teams.api'; + +const schemaPath = pathToSrc('data/schema.sql'); +const dbSchema = fs.readFileSync(schemaPath, 'utf-8'); + +const examplesPath = pathToSrc('data/data-analyst-examples.jsonl'); +const examples = JSON.parse(fs.readFileSync(examplesPath, 'utf-8')); + +const systemMessage = `You are an expert data analyst that helps users understand data from the AdventureWorks database. +Your goal is to provide clear, visual insights by querying data and creating appropriate visualizations. + +You are only capable of producing horizontal bar charts, vertical bar charts, line charts, and pie charts. + +For any SQL queries you need to perform, call on the sqlPrompt to generate and execute a SQL query using the execute_sql function. +Every single time the user wants a graph or chart or table, you MUST call on the cardPrompt to generate the card using the generate_card function. +Never return a raw JSON response to the user. Always return an Adaptive Card with a chart or table if you are prompted for a graph. +Look at the examples below to see how to format your input for the cardPrompt. + +Database Schema: +\`\`\`sql +${dbSchema} +\`\`\` + +Examples: +${examples.map((ex: any) => + `--- +User: ${ex.user_message} +Assistant: ${JSON.stringify(ex.data_analyst_response, null, 2)}` +).join('\n')} + +For your final response to the user, return a single Adaptive Card with a chart or table, or multiple cards if needed. If you need to return multiple cards, ensure they are all wrapped in a single Adaptive Card response. +Also provide a text response that summarizes the insights or findings from the data. Keep it brief and do not repeat the chart data. +You can also return a simple text response chart is needed.`; + +export const createDataAnalystPrompt = (conversationHistory: Message[] = []) => { + const conversationAttachments: Attachment[] = []; + + const sqlPromptInstance = new ChatPrompt({ + instructions: `You are an expert SQL executor. When called on, generate a SQL query given the context that is given by the main prompt and then execute the query using execute_sql function. +To query the database, use the execute_sql function with a SELECT query. +Only SELECT queries are allowed. No mutations. +Database Schema: +\`\`\`sql +${dbSchema} +\`\`\` + +Examples: +${examples.map((ex: any) => + `--- +User: ${ex.user_message} +Assistant: ${JSON.stringify(ex.data_analyst_response, null, 2)}` + ).join('\n')}`, + model: new OpenAIChatModel({ + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME!, + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview' + }) + }).function( + 'execute_sql', + 'Executes a SQL SELECT query and returns results', + executeSqlSchema, + async ({ query }) => { + if (!query.trim().toLowerCase().startsWith('select')) { + return 'Error: Only SELECT queries are allowed'; + } + + const forbidden = ['insert', 'update', 'delete', 'drop', 'alter', 'create']; + if (forbidden.some(word => query.toLowerCase().includes(word))) { + return 'Error: Query contains forbidden operations'; + } + + try { + const dbPath = pathToSrc('data/adventureworks.db'); + const db = new Database(dbPath, { readonly: true }); + const rows = db.prepare(query).all(); + db.close(); + if (!rows.length) { + return 'No results found for your query.'; + } + + return { rows }; + } catch (err) { + return `Error executing query: ${err instanceof Error ? err.message : 'Unknown error'}`; + } + } + ); + + const cardPromptInstance = new ChatPrompt({ + instructions: 'You generate adaptive cards and charts from provided data. Use the generate_card function to create visualizations.', + model: new OpenAIChatModel({ + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME!, + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview' + }) + }).function( + 'generate_card', + 'Generates a card or chart from data', + chartCreationSchema, + async ({ chartType, rows, options }) => { + conversationAttachments.push(generateChartCard(chartType, rows, options)); + } + ); + + const mainPrompt = new ChatPrompt({ + instructions: systemMessage, + model: new OpenAIChatModel({ + model: process.env.AZURE_OPENAI_DEPLOYMENT_NAME!, + apiKey: process.env.SECRET_AZURE_OPENAI_API_KEY!, + endpoint: process.env.AZURE_OPENAI_ENDPOINT!, + apiVersion: '2025-04-01-preview' + }), + messages: conversationHistory + }).use('execute_sql', sqlPromptInstance) + .use('generate_card', cardPromptInstance); + + return { + prompt: mainPrompt, + attachments: conversationAttachments + }; +}; \ No newline at end of file diff --git a/data-analyst-agent-v2/src/schema.ts b/data-analyst-agent-v2/src/schema.ts new file mode 100644 index 000000000..07dafa7f3 --- /dev/null +++ b/data-analyst-agent-v2/src/schema.ts @@ -0,0 +1,41 @@ +import { ObjectSchema } from '@microsoft/teams.ai'; + +export const executeSqlSchema: ObjectSchema = { + type: 'object', + properties: { + query: { + type: 'string', + description: 'SQL query to execute' + } + }, + required: ['query'] +}; + +// Sub-schema of full Adaptive Card schema to create cards with simple charts +export const chartCreationSchema: ObjectSchema = { + type: 'object', + properties: { + chartType: { + type: 'string', + enum: ['verticalBar', 'horizontalBar', 'line', 'pie', 'table'], + description: 'Type of chart to render, if applicable.' + }, + rows: { + type: 'array', + items: { + type: 'array', + items: {} + }, + description: 'Data rows for chart/table.' + }, + options: { + type: 'object', + description: 'Chart/table options such as title, axis labels, etc.', + properties: { + title: { type: 'string' }, + xAxisTitle: { type: 'string' }, + yAxisTitle: { type: 'string' } + }, + } + } +} \ No newline at end of file diff --git a/data-analyst-agent-v2/src/utils.ts b/data-analyst-agent-v2/src/utils.ts new file mode 100644 index 000000000..f2570b0d8 --- /dev/null +++ b/data-analyst-agent-v2/src/utils.ts @@ -0,0 +1,25 @@ +import { Attachment } from '@microsoft/teams.api'; +import fs from 'fs'; +import path from 'path'; + +export function pathToSrc(relativePath: string): string { + return path.join(__dirname, relativePath); +} + +export function loadSchema(): string { + return fs.readFileSync(path.join(__dirname, 'data', 'schema.sql'), 'utf-8'); +} + +export function loadExamples(): any[] { + const examplesPath = path.join(__dirname, 'data', 'data-analyst-examples.jsonl'); + const examplesContent = fs.readFileSync(examplesPath, 'utf-8'); + return examplesContent.split('\n').map(line => JSON.parse(line)); +} + +export function getDatabasePath(): string { + return path.join(__dirname, 'data', 'adventureworks.db'); +} + +export const shared = { + attachments: [] as Attachment[] +}; diff --git a/data-analyst-agent-v2/tsconfig.json b/data-analyst-agent-v2/tsconfig.json new file mode 100644 index 000000000..c4efba63c --- /dev/null +++ b/data-analyst-agent-v2/tsconfig.json @@ -0,0 +1,26 @@ +{ + "$schema": "https://json.schemastore.org/tsconfig", + "compilerOptions": { + "module": "NodeNext", + "target": "ESNext", + "moduleResolution": "NodeNext", + "strict": true, + "noImplicitAny": true, + "declaration": true, + "inlineSourceMap": true, + "esModuleInterop": true, + "allowSyntheticDefaultImports": true, + "experimentalDecorators": true, + "emitDecoratorMetadata": false, + "resolveJsonModule": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "pretty": true, + "outDir": "dist", + "rootDir": "src", + "types": ["node"] + }, + "ts-node": { + "transpileOnly": true + } +} diff --git a/data-analyst-agent-v2/tsup.config.js b/data-analyst-agent-v2/tsup.config.js new file mode 100644 index 000000000..32277a72f --- /dev/null +++ b/data-analyst-agent-v2/tsup.config.js @@ -0,0 +1,13 @@ +/** @type {import('tsup').Options} */ +module.exports = { + dts: true, + minify: false, + bundle: false, + sourcemap: true, + treeshake: true, + splitting: true, + clean: true, + outDir: 'dist', + entry: ['src/index.ts'], + format: ['cjs'], +};