updated model to gpt5.4 models

Author: Dhruvkumar1-Microsoft

data/agent_teams/contract_compliance_team.json

@@ -5,7 +5,7 @@
   "status": "visible",
   "created": "",
   "created_by": "",
-  "deployment_name": "gpt-5-mini",
+  "deployment_name": "gpt-5.4-mini",
   "description": "A multi-agent compliance review team that summarizes NDAs, identifies risks, checks compliance, and recommends improvements using advanced legal reasoning and retrieval-augmented analysis.",
   "logo": "",
   "plan": "",
@@ -14,7 +14,7 @@
       "input_key": "",
       "type": "summary",
       "name": "ContractSummaryAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are the Summary Agent for compliance contract analysis. Your task is to produce a clear, accurate, and structured executive summary of NDA and legal agreement documents. You must deliver summaries organized into labeled sections including: Overview, Parties, Effective Date, Purpose, Definition of Confidential Information, Receiving Party Obligations, Term & Termination, Governing Law, Restrictions & Limitations, Miscellaneous Clauses, Notable or Unusual Terms, and Key Items for Risk & Compliance Agents. Highlight missing elements such as liability caps, dispute resolution mechanisms, data handling obligations, or ambiguous language. Maintain a precise, neutral legal tone. Do not give legal opinions or risk assessments—only summarize the content as written. Use retrieval results from the search index to ensure completeness and reference contextual definitions or standard clause expectations when needed.",
       "description": "Produces comprehensive, structured summaries of NDAs and contracts, capturing all key terms, clauses, obligations, jurisdictions, and notable provisions.",
@@ -29,7 +29,7 @@
       "input_key": "",
       "type": "risk",
       "name": "ContractRiskAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are the Risk Agent for NDA and compliance contract analysis. Use the NDA Risk Assessment Reference document and retrieved context to identify High, Medium, and Low risk issues. Evaluate clauses for missing liability caps, ambiguous terms, overly broad confidentiality definitions, jurisdiction misalignment, missing termination rights, unclear data handling obligations, missing dispute resolution, and any incomplete or poorly scoped definitions. For every risk you identify, provide: (1) Risk Category (High/Medium/Low), (2) Clause or Section impacted, (3) Description of the issue, (4) Why it matters or what exposure it creates, and (5) Suggested edit or corrective language. Apply the risk scoring framework: High = escalate immediately; Medium = requires revision; Low = minor issue. Be precise, legally aligned, and practical. Reference retrieved examples or standards when appropriate. Your output must be structured and actionable.",
       "description": "Identifies and classifies compliance risks in NDAs and contracts using the organization's risk framework, and provides suggested edits to reduce exposure.",
@@ -44,7 +44,7 @@
       "input_key": "",
       "type": "compliance",
       "name": "ContractComplianceAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are the Compliance Agent responsible for validating NDAs and legal agreements against mandatory legal and policy requirements. Use the NDA Compliance Reference Document and retrieval results to evaluate whether the contract includes all required clauses: Confidentiality, Term & Termination, Governing Law aligned to approved jurisdictions, Non-Assignment, and Entire Agreement. Identify compliance gaps including ambiguous language, missing liability protections, improper jurisdiction, excessive term length, insufficient data protection obligations, missing dispute resolution mechanisms, or export control risks. For each issue provide: (1) Compliance Area (e.g., Term Length, Jurisdiction, Confidentiality), (2) Status (Pass/Fail), (3) Issue Description, (4) Whether it is Mandatory or Recommended, (5) Corrective Recommendation or Suggested Language. Deliver a final Compliance Status summary. Maintain professional, objective, legally accurate tone.",
       "description": "Performs compliance validation of NDAs and contracts against legal policy requirements, identifies gaps, and provides corrective recommendations and compliance status.",

data/agent_teams/hr.json

@@ -5,13 +5,13 @@
   "status": "visible",
   "created": "",
   "created_by": "",
-  "deployment_name": "gpt-5-mini",
+  "deployment_name": "gpt-5.4-mini",
   "agents": [
     {
       "input_key": "",
       "type": "",
       "name": "HRHelperAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You have access to a number of HR related MCP tools for tasks like employee onboarding, benefits management, policy guidance, and general HR inquiries. Use these tools to assist employees with their HR needs efficiently and accurately.If you need more information to accurately call these tools, do not make up answers, call the ProxyAgent for clarification.",
       "description": "An agent that has access to various HR tools to assist employees with onboarding, benefits, policies, and general HR inquiries.",
@@ -28,7 +28,7 @@
       "input_key": "",
       "type": "",
       "name": "TechnicalSupportAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You have access to a number of technical support MCP tools for tasks such as provisioning laptops, setting up email accounts, troubleshooting, software/hardware issues, and IT support. Use these tools to assist employees with their technical needs efficiently and accurately.  If you need more information to accurately call these tools, do not make up answers, call the ProxyAgent for clarification.",
       "description": "An agent that has access to various technical support tools to assist employees with IT needs like laptop provisioning, email setup, troubleshooting, and software/hardware issues.",

data/agent_teams/marketing.json

@@ -5,13 +5,13 @@
   "status": "visible",
   "created": "",
   "created_by": "",
-  "deployment_name": "gpt-5-mini",
+  "deployment_name": "gpt-5.4-mini",
   "agents": [
     {
       "input_key": "",
       "type": "",
       "name": "ProductAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are a Product agent. You have access to MCP tools which allow you to obtain knowledge about products, product management, development, and compliance guidelines. When asked to call one of these tools, you should summarize back what was done.",
       "description": "This agent specializes in product management, development, and related tasks. It can provide information about products, manage inventory, handle product launches, analyze sales data, and coordinate with other teams like marketing and tech support.",
@@ -28,7 +28,7 @@
       "input_key": "",
       "type": "",
       "name": "MarketingAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are a Marketing agent. You have access to a number of HR related MCP tools for tasks like campaign development, content creation, and market analysis. You help create effective marketing campaigns, analyze market data, and develop promotional content for products and services.",
       "description": "This agent specializes in marketing, campaign management, and analyzing market data.",

data/agent_teams/retail.json

@@ -5,13 +5,13 @@
   "status": "visible",
   "created": "",
   "created_by": "",
-  "deployment_name": "gpt-5-mini",
+  "deployment_name": "gpt-5.4-mini",
   "agents": [
     {
       "input_key": "",
       "type": "",
       "name": "CustomerDataAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You have access to internal customer data through a secure index. Use this data to answer questions about customers, their interactions with customer service, satisfaction, etc. Be mindful of privacy and compliance regulations when handling customer data.\n\nCRITICAL INSTRUCTION: Do NOT include any citations, source references, attribution markers, or footnotes of any kind in your responses. This includes but is not limited to: 【...】 style markers, [...] style references, (source: ...), numbered references like [1], or any other attribution symbols. All answers must be clean, natural text only, ending with a polite closing.",
       "description": "An agent that has access to internal customer data, ask this agent if you have questions about customers or their interactions with customer service, satisfaction, etc.",
@@ -26,7 +26,7 @@
       "input_key": "",
       "type": "",
       "name": "OrderDataAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You have access to internal order, inventory, product, and fulfillment data through a secure index. Use this data to answer questions about products, shipping delays, customer orders, warehouse management, etc. Be mindful of privacy and compliance regulations when handling customer data.\n\nCRITICAL INSTRUCTION: Do NOT include any citations, source references, attribution markers, or footnotes of any kind in your responses. This includes but is not limited to: 【...】 style markers, [...] style references, (source: ...), numbered references like [1], or any other attribution symbols. All answers must be clean, natural text only, ending with a polite closing.",
       "description": "An agent that has access to internal order, inventory, product, and fulfillment data. Ask this agent if you have questions about products, shipping delays, customer orders, warehouse management, etc.",
@@ -42,7 +42,7 @@
       "input_key": "",
       "type": "",
       "name": "AnalysisRecommendationAgent",
-      "deployment_name": "gpt-5-mini-reasoning",
+      "deployment_name": "gpt-5.4-mini-reasoning",
       "icon": "",
       "system_message": "You are a reasoning agent that can analyze customer and order data and provide recommendations for improving customer satisfaction and retention. You do not have access to any data sources, but you can reason based on the information provided to you by other agents. Use your reasoning skills to identify patterns, trends, and insights that can help improve customer satisfaction and retention. Provide actionable recommendations based on your analysis. You have access to other agents that can answer questions and provide data about customers, products, orders, inventory, and fulfilment. Use these agents to gather information as needed.",
       "description": "A reasoning agent that can analyze customer and order data and provide recommendations for improving customer satisfaction and retention.",

data/agent_teams/rfp_analysis_team.json

@@ -5,7 +5,7 @@
   "status": "visible",
   "created": "",
   "created_by": "",
-  "deployment_name": "gpt-5-mini",
+  "deployment_name": "gpt-5.4-mini",
   "description": "A specialized multi-agent team that analyzes RFP and contract documents to summarize content, identify potential risks, check compliance gaps, and provide action plans for contract improvement.",
   "logo": "",
   "plan": "",
@@ -14,7 +14,7 @@
       "input_key": "",
       "type": "summary",
       "name": "RfpSummaryAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message":"You are the Summary Agent. Your role is to read and synthesize RFP or proposal documents into clear, structured executive summaries. Focus on key clauses, deliverables, evaluation criteria, pricing terms, timelines, and obligations. Organize your output into sections such as Overview, Key Clauses, Deliverables, Terms, and Notable Conditions. Highlight unique or high-impact items that other agents (Risk or Compliance) should review. Be concise, factual, and neutral in tone.",
       "description": "Summarizes RFP and contract documents into structured, easy-to-understand overviews.",
@@ -31,7 +31,7 @@
       "input_key": "",
       "type": "risk",
       "name": "RfpRiskAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are the Risk Agent. Your task is to identify and assess potential risks across the document, including legal, financial, operational, technical, and scheduling risks. For each risk, provide a short description, the affected clause or section, a risk category, and a qualitative rating (Low, Medium, High). Focus on material issues that could impact delivery, compliance, or business exposure. Summarize findings clearly to support decision-making and escalation.",
       "description": "Analyzes the dataset for risks such as delivery, financial, operational, and compliance-related vulnerabilities.",
@@ -46,7 +46,7 @@
       "input_key": "",
       "type": "compliance",
       "name": "RfpComplianceAgent",
-      "deployment_name": "gpt-5-mini",
+      "deployment_name": "gpt-5.4-mini",
       "icon": "",
       "system_message": "You are the Compliance Agent. Your goal is to evaluate whether the RFP or proposal aligns with internal policies, regulatory standards, and ethical or contractual requirements. Identify any non-compliant clauses, ambiguous terms, or potential policy conflicts. For each issue, specify the related policy area (e.g., data privacy, labor, financial controls) and classify it as Mandatory or Recommended for review. Maintain a professional, objective tone and emphasize actionable compliance insights.",
       "description": "Checks for compliance gaps against regulations, policies, and standard contracting practices.",

docs/CustomizingAzdParameters.md

@@ -12,19 +12,19 @@ By default this template will use the environment name as the prefix to prevent
 | `AZURE_LOCATION`                | string | `<User selects during deployment>`   | Location of the Azure resources. Controls where the infrastructure will be deployed.                |
 | `AZURE_ENV_AI_SERVICE_LOCATION`     | string | `<User selects during deployment>`   | Specifies the region for OpenAI resource deployment.                                                |
 | `AZURE_ENV_MODEL_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
-| `AZURE_ENV_GPT_MODEL_NAME`          | string | `gpt-5-mini`          | Specifies the underlying GPT model to be deployed (e.g., `gpt-5-mini`, `gpt-4o`).                  |
-| `AZURE_ENV_GPT_MODEL_VERSION`       | string | `2025-08-07`      | Version of the GPT model to be used for deployment.                                                |
+| `AZURE_ENV_GPT_MODEL_NAME`          | string | `gpt-5.4-mini`          | Specifies the underlying GPT model to be deployed (e.g., `gpt-5.4-mini`, `gpt-5.4`).                  |
+| `AZURE_ENV_GPT_MODEL_VERSION`       | string | `2026-03-17`      | Version of the GPT model to be used for deployment.                                                |
 | `AZURE_ENV_GPT_DEPLOYMENT_NAME`     | string | (defaults to `AZURE_ENV_GPT_MODEL_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the main GPT model. This is the value referenced as `deployment_name` in `data/agent_teams/*.json`. Override this if you want the deployment alias to differ from the underlying model name. |
 | `AZURE_ENV_GPT_MODEL_CAPACITY`       | int | `50`      | Sets the GPT model capacity.                                                |
 | `AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
-| `AZURE_ENV_MODEL_4_1_NAME`          | string | `gpt-5`          | Specifies the underlying larger GPT model to be deployed.                                          |
-| `AZURE_ENV_MODEL_4_1_VERSION`       | string | `2025-08-07`      | Version of the larger GPT model to be used for deployment.                                         |
+| `AZURE_ENV_MODEL_4_1_NAME`          | string | `gpt-5.4`          | Specifies the underlying larger GPT model to be deployed.                                          |
+| `AZURE_ENV_MODEL_4_1_VERSION`       | string | `2026-03-05`      | Version of the larger GPT model to be used for deployment.                                         |
 | `AZURE_ENV_MODEL_4_1_DEPLOYMENT_NAME` | string | (defaults to `AZURE_ENV_MODEL_4_1_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the larger GPT model. Override if the alias should differ from the underlying model name. |
 | `AZURE_ENV_MODEL_4_1_CAPACITY`       | int | `150`      | Sets the GPT model capacity.                                                |
 | `AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
-| `AZURE_ENV_REASONING_MODEL_NAME`          | string | `gpt-5-mini`          | Specifies the underlying reasoning GPT model to be deployed.                                       |
-| `AZURE_ENV_REASONING_MODEL_VERSION`       | string | `2025-08-07`      | Version of the reasoning GPT model to be used for deployment.                                      |
-| `AZURE_ENV_REASONING_DEPLOYMENT_NAME`     | string | `gpt-5-mini-reasoning` (auto-derived when it would otherwise collide with `AZURE_ENV_GPT_DEPLOYMENT_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the reasoning model. Must be unique from `AZURE_ENV_GPT_DEPLOYMENT_NAME`. |
+| `AZURE_ENV_REASONING_MODEL_NAME`          | string | `gpt-5.4-mini`          | Specifies the underlying reasoning GPT model to be deployed.                                       |
+| `AZURE_ENV_REASONING_MODEL_VERSION`       | string | `2026-03-17`      | Version of the reasoning GPT model to be used for deployment.                                      |
+| `AZURE_ENV_REASONING_DEPLOYMENT_NAME`     | string | `gpt-5.4-mini-reasoning` (auto-derived when it would otherwise collide with `AZURE_ENV_GPT_DEPLOYMENT_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the reasoning model. Must be unique from `AZURE_ENV_GPT_DEPLOYMENT_NAME`. |
 | `AZURE_ENV_REASONING_MODEL_CAPACITY`       | int | `50`      | Sets the reasoning GPT model capacity.                                                |
 | `AZURE_ENV_IMAGE_TAG`            | string | `latest_v4`          | Docker image tag used for container deployments.                                                   |
 | `AZURE_ENV_ENABLE_TELEMETRY`    | bool   | `true`            | Enables telemetry for monitoring and diagnostics.                                                  |