The api deployment for this resource does not exist. Follow edited Aug 17, 2021 at 16:35.
The api deployment for this resource does not exist I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I When using the AzureOpenAI LLM the OpenAIEmbeddings are not working. Configuring Azure OpenAI Deployment Parameters to Match Public ChatGPT Settings. The api_version could be either in preview release (e. I recommend enabling debug logging (see the FAQ in the README about Error: The API deployment for this resource does not exist. Closed 5 tasks done. If you openai. yaml; otherwise, it will use the hardcoded values no matter what the model values are, which can be unexpected. It worked, very thanks! Both StageName and Stage receive the external string value While trying to deploy a CosmosDB instance with 2 collections ("MyCollection1", "MyCollection2") I keep getting the error: NotFound: Entity with the specified id does not exist in the system So I The API deployment for this resource does not exist. e. The API deployment for this resource does not exist. Azure App Service Deployment Error: "Resource Not Found" for Deployment Slot even if resource exists. Sign in Product GitHub It seems that the LangChain's AzureOpenAI class does not support the deployment_id parameter out of the box. 2. #2 #228. Modified 1 year ago. AzureOpenAI module. Modified 28 days ago. ' are allowed. What is the reason for this? Hey man, did you create the I can also confirm the model shows in the Azure Portal under the resource's Model Deployments blade. Copy link TIDIALLO Discover solutions for common Azure deployment issues with Prompty. The Network tab presents three options for the security Type:. 21. The requested resource does not exist. If you created the deployment within the last 5 minutes, please wait a Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company The API deployment for this resource does not exist. HttpOperationException: The API deployment for this resource does not exist. Viewed 19k times This happens because you have never deployed your API. You signed in with another tab or window. A "Model deployment name" Describe the bug A clear and concise description of what the bug is. id triggers = { # NOTE: The configuration below will satisfy ordering considerations, # but not pick up all future REST API changes. this config list works config_list = [{'model': 'gpt-4', 'api_key': {my open api key} }] this one does not You signed in with another tab or window. Also tracking URI has a similar issue, when you call mlflow Hi -- can you share a bit more code on how you are calling the API. JayashankarGS JayashankarGS. !Ref MyStage == dev – pkarfs. Improve this question. Easy, create a parameter and make both the api resource stagename and apigateway basemapping ref that parameter. I'm using that access toke Skip to main content. Avoid entering confidential information. I then continued to add my own data in the Assistant setup. AI DevOps Security Software Development Could not execute skill because the Web Api request failed - Enrichment. json to nuxt generate or in the netlify build settings use nuxt generate instead of using yarn build in the build You signed in with another tab or window. This behavior occurs when configuring everything in line with the documentation - specifically: setting os. 渠道中使用的是openai的api，点击测试，响应时间正常， 弹出页面反馈也正常 azure的api放在渠道中点击测试，响应时间正常， 但会显示 DeploymentNotFound, message The API deployment for this resource does not exist. Has anyone encountered it？ You signed in with another tab or window. ' } If you created the deployment within the last 5 minutes, please wait a moment and try again. If you created the deployment within the last 5 minutes, please wait a moment and try again. Azure OpenAI Ingesion Job API returns 404 Resource not found. issue type=error;]Error: Resource 'app-pricing-api-demo-company' doesn't exist. The deploymentName parameter should be the name provided But the API is failing everytime on the 2nd request throwing the below error: "The API deployment for this resource does not exist. I provide the AzureOpenAI client instance with an API key, version, and Azure endpoint. Is to deploy the generated assembly to the account using CloudFormation. In your example all the !Ref stagename does is reference the logical name anyway. What solved the problem in my case was to update the service connection and specify the "Resource group" associated with the connection. nickroseth opened this issue Aug 10, 2023 · 2 comments Labels. , Fine-tuning API InvalidRequestError: The API deployment for this resource does not exist. 2 and cert- The API deployment for this resource does not exist. If you created the deployment within the last 5 minutes," I'm gettin the following error message when calling the Azure OpenAI API using Python json. If you created the deployment 错误：type , code DeploymentNotFound, message The API deployment for this resource does not exist. Resource should exist before deployment. I read the specified document, but it didn’t say how to set the deployment name inside the Azure OpenAI resource required for connection. Following up to see if the above response was helpful and was just checking back to see if you have a resolution yet. caixiaomao opened this issue Aug 17, 2023 The resource_name is the name of the Azure OpenAI resource. example. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected Hi -- can you share a bit more code on how you are calling the API. Inside the main template, there are multiple nested templates within it. Closed sindre-bouvet opened this issue Apr 26, 2024 · 1 comment Closed Could not execute skill because the Web Api request failed - 想请教一下各位大佬Azure的GPT-API该如何使？我尝试将API添加到lobechat里，选择了AzureAPI，正确填写了endpoint，但是测试的时候一直报错：{"error":{"code":"DeploymentNotFound"," Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company But from a few days ago. Share. llms. I have a parameter that determines whether or not the resource will be deployed, let's call it enablePrivateEndpoints. darko-stoilevski opened this issue Apr 2, 2018 · 6 comments Comments. This and more is described in the setup docs: https://docs. Reason: It could not find the nginx-deployment. 0. This browser is no longer supported. More advanced patterns # are possible, such as using the filesha1() function InvalidRequestError: The API deployment for this resource does not exist. Copy link darko-stoilevski commented Apr 2, 2018. Asking for help, clarification, or responding to other answers. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I You signed in with another tab or window. When you create a service principal, it is created in Azure AD. Naturally, during deploying, if the child-rg does not exist, the nested template will fail. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I Hi @Aishwarya Pramod,. Provide details and share your research! But avoid . When using Azure OpenAI, I’m running into an error: “The API deployment for this resource does not exist. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected In my understanding, there is a logical defect in the API Gateway deployment design. static void Main(string[] args) { string endpoint = GetEnvironmentVariable("OPENAI_API_BASE"); string key = GetEnvironmentVariable("OPENAI_API_KEY"); string engine = "text-davinci-003"; //Enter the deployment name you chose when you deployed the model - I have updated this in my code Here, you need to provide the correct deployment name you deployed in Azure OpenAI. 3. You mentioned that it is set in a variable called AZURE_OPENAI_API_DEPLOYMENT_NAME, but you should use it. Do you know how to fix it? Thanks!! ` from dotenv import load_dotenv import os I figured out that running from terminal mlflow run <dir> is creating the run ID, so when you don't (even you shouldn't, due to this exception) have to create parent run. " will be reported. Add a comment | Your Answer Reminder: Answers generated by artificial intelligence tools are not allowed on Stack Overflow. ” Make sure your deployment name is entered as the model name; Is it possible to automatically maintain context between multiple questions? You signed in with another tab or window. -Pricing Tier**:** Select an appropriate pricing tier for the Bing Search API. Stale. ' . Calling list model API does not have gpt-4 or gpt-4o in the list either ERROR running force:org:create: The requested resource does not exist Are there any ideas for this error? Thank you. Yoshida Atsushi . 2023-06-17T04:13:03. If you created the deployment within the last 5 minutes, please wait a moment and try again . What worked for me was adding the service principal with role contributor to the resource group. 2024-02-15-preview) or latest GA release After some debugging, I found that the APIRequestor created in the AzureOpenAI object has an attribute api_type that seems to default to ApiType. I used the GitHub search to find a similar question and Skip to content. answered Nov 20, 2023 at 4:47. . AIException: Invalid request: The request is not valid, HTTP status: 404---> Azure. InvalidRequestError: The API deployment for this resource does not exist. # "message": "The API deployment for this resource does not exist. If you created the deployment within the last 5 minutes, please wait a moment and try I don't quite understand why after deploying Azure OpenAI model, even in chat playground below error is shown, my lab instance id is 41872511. complete result=Failed;]Error: Resource 'app-pricing-api-demo-company' doesn't exist. Sign in Product GitHub GPT4 - The API deployment for this resource does not exist. If you created the deployment within the last 5 minutes, please You signed in with another tab or window. Issue with Microsoft Azure Answer Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for nginx-deployment. Solution: Created a basic nginx file with the following configuration: kind: Deployment metadata: name: nginx-deployment labels: spec: replicas: 1 selector: matchLabels: app: nginx template: metadata: labels: app: nginx So without access it's not possible to access the engine. Ask Question Asked 29 days ago. The API deployment for this The existing solution automatically translates gpt-35-turbo / gpt-4 / gpt-4-32k to your deployment name. asked Aug 17, 2021 at 16:19. But sometimes the code works and perfom the evaluation properly: below you have the code I am running. 0 How to Conditionally Create an Azure Resource-Group (or Any Resource) if Someone Else Has Not Created One I am trying to deploy Azure WebApp code using azd deploy For this I am setting following ENV for the pipeline. AzureOpenAIEmbeddingSkill. This is inconsistent between the Azure openai The API deployment for this resource does not exist. Viewed 88 times Part of Microsoft Azure and CI/CD Collectives 1 I'm trying to deploy a FastAPI application (as Web app) to Azure App Service using GitHub Actions. Closed TIDIALLO opened this issue Oct 31, 2023 · 19 comments Closed issue when test chat : The API deployment for this resource does not exist. Option 1: All networks, including the internet, can access this resource. If the app code Do not specify both deployment_name and openai_api_base: 'DeploymentNotFound', 'message': 'The API deployment for this resource does not exist. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. The model_name is the model deployment name. Check the documentation and be careful to make your API request correctly. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected The API deployment for this resource does not exist. Error: Microsoft. Closed darko-stoilevski opened this issue Apr 2, 2018 · 6 comments Closed Failed to deploy API Gateway route. Maybe you should use the Deployment Name instead of the model name in your C# code. Follow edited Aug 17, 2021 at 16:35. Resource should exist before What worked for me was removing the import of openai when using the langchain. Commented Apr 21, 2020 at 12:19. But I keep on getting this issue: "The API deployment for this resource does not exist. This is the only time the app code runs. is the creation of the cloud assembly which is template files for stacks from the app code. I am having the same issue on an existing deployment that was previously working. Improve this answer. However, whenever I call the OpenAI Service through API Calls, I must always send the system message and examples with the request. Hi, First of all thank you for the InvalidRequestError: The API deployment for this resource does not exist. The deployment seems to be successful, but I've tried to follow the instructions in the link, however the "Authorize Resources" button does not exist. Dive into our blog to troubleshoot and overcome obstacles in your Azure deployment process. Then I add another You signed in with another tab or window. 1. However, when you create the deployment name in the OpenAI Studio, the create prompt does not allow '-', '', and '. If you created the deployment within the last 5 minutes, please wait a moment and try again Invalid request - The API deployment for this resource does not exist. In my code, I also did not include openai_api_type="azure" since it is already set as This browser is no longer supported. The nested templates have the option to create their resources in a different resource group (child-rg). Stack Exchange Network. I stupidly removed the s3 bucket for my serverless project. When running on Azure, you may need to deploy the model from within Azure AI Studio's Deployments. If you created the deployment within the last 5 minutes, please wait a moment and try again 运行程序出现如上报错，具体代码 The API deployment for this resource does not exist. Option 2: Selected networks, configure I just tested this and it does not work. Learn more. " If you created the deployment within the last 5 minutes, please wait a moment and try again. It is currently set to 'false' so the deployment for this resource does not occur. See the documentation links for the relevant API endpoint you're using: Chat; Completions; Audio; Images; Embeddings; Fine-tuning; Files; Models; Moderations; Your case. We are using Kubernetes version 1. A stage is a logical reference to a lifecycle state of your API (for example, dev, prod, beta Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company In your "aws_api_gateway_deployment" resource you will need to add a "depends_on" which will need to contain entries for:aws_api_gateway_method; aws_api_gateway_integration; that are found in your terraform script, for example: resource "aws_api_gateway_deployment" "example" { depends_on = [ Deposited $50 in account but calling create assistant API through python SDK returns “The requested model ‘gpt-4o’ does not exist. To deploy an API, you create an API deployment and associate it with a stage. Microsoft Azure Engine for Azure Openai. In your code, you have used engine but, you need to mention your deployment name. Hi @Manaswini Sugatoor,. If you created the deployment within the last 5 minutes, please wait a moment and In UiPath’s Azure OpenAI Connector, you can set the deployment name for the “Generate Chat Completion” activity by specifying it in the “Deployment Name” property of the If you are getting an error like this, it is probably due to the deployment ID not being specified correctly. If you created the deployment within the last 5 Odds are you have a post build event in your project. CDK works in two steps. This is likely either (1) the deployment name in your code doesn't match a deployment in the resource or (2) the deployment was not yet complete. If you created the deployment within the last 5 minutes, please wait a moment and try In the role assignment, you need to specify the principalType to ServicePrincipal and also use an api version greater or equal than: 2018-09-01-preview. We need to need to join the OpenAI Codex Private Beta Waitlist in order to access Codex models through API. '}} True. Download Microsoft Edge More info about Internet Explorer and When I run, prompt ：The API deployment for this resource does not exist. AI. We haven’t heard from you on the last response and was just checking back to see if you have any resolution yet. Comments. yaml file. It takes some time for the service principal to be replicated globally. Yoshida Atsushi Yoshida Atsushi. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected I am following this guide to create and deploy a web app on Azure. ##[debug]Processed: ##vso[task. Please provide us with the following information: This issue is for a: (mark with an x) - [x ] bug report -> please search issues before submitting - [ ] feature request The API deployment for this resource does not exist. I am trying to get a Salesforce REST API Integeration to work and struggling quite a bit. Reload to refresh your session. Check if a resource exists then deploy another resource using Azure Arm Template. If a suitable API gateway does not already exist, click Create Gateway to create one (see Creating an API Gateway). Select Next. You can get the deployment name using the portal below. "Allow all pipelines to use this service connection" is already enabled and I have recreated the deployment task after enabling this. 2266667+00:00. environ["OPENAI_API_TYPE"] = "azure" does not solve this problem. Select "Create Deployment" and go with text-embedding-ada-002. "} THE CODE: Contribute to GooeyAI/aifail development by creating an account on GitHub. This was working last week and is not working today. Error: Invalid request: The request is not valid, HTTP status: 404. After reviewing source, I believe this is because the class does not accept any parameters other than an api_key. If you created the deployment within the last 5 minutes Mar 8, 2024 Using the dynamic placeholders makes it so that you can keep the model/region switching behavior, which is the chief reason for the azure config via librechat. In case if you have any resolution, please do share that same with the community as it can be helpful to others. The problem is that the model deployment name create prompt in Azure OpenAI, Model Deployments states that '-', '', and '. Download Microsoft Edge More The API deployment for this resource does not exist. In your case (i. It should look like the following. #108. I searched the LangChain documentation with the integrated search. Thanks for contributing an answer to The API deployment for this resource does not exist. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. #526. TIDIALLO opened this issue Oct 31, 2023 · 19 comments Comments. json. deploymentName: "arbitrary-deployment-name" //This should not be arbitrary The API deployment for this resource does not exist. caixiaomao opened this issue Aug 17, 2023 · 6 comments Closed 5 tasks done. 63 1 1 gold badge 1 1 silver badge 6 6 bronze badges. com/mckaywrigley/chatbot I am trying this below llm retrieval tutorials and being stuck at this error since long and not able to understand what I am missing: “The API deployment for this resource does not I'm presented with the following error message when trying to access the resource: The API deployment for this resource does not exist. Validate Required Fields: -Double-check all required fields in the deployment request: -Name: Ensure the resource name is unique within your subscription. It seems only the GPT-3 models are of public usage. The Name column will be the correct value. azure openai cognitive search data architecture for RAG . Query call with protocol GRPC search failed with message explorer: get class: vectorize params: vectorize params: vectorize params: vectorize keywords: remote client vectorize: connection to: Azure OpenAI API failed with status: 404 error: The API deployment for this resource does not exist. In you example, try removing line 3 import openai. If you created the deployment within the last 5 minutes, pl Error: The API deployment for this resource does not exist. It returns error_code=404 error_message='Resource not found' error_param=None error_type=None Skip to content . Headers: OpenAI-Processing-Ms: REDACTED x-ms-client-request-id: 71fb1aa3-6d1b-411c-89bc-34de587346be apim-request-id: REDACTED Strict-Transport-Security: REDACTED X-Content-Type-Options: REDACTED x-ms If you created the deployment within the last 5 minutes. Syedbabar Ali 375 Reputation points. You signed out in another tab or window. AZURE. All reactions. #65. e. Resources Topics. Replace: Thank you your reply. co/setup/ InvalidRequestError: The API deployment for this resource does not exist. Output: For more information refer this documentation. API deployment is to deploy to a stage as in Deploying a REST API in Amazon API Gateway. ' Answer Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I Error fix for "Asset does not exist" thrown when updating an asset via API the error. I assumed that the default system message gets saved to the deployment and I would not have to send it on every I would also check that your API key is properly stored in the environment variable, if you are using the export command, make sure you are not using " quotes around the API key, You should end up with something like this, assume the API key is stored correctly, as a test you can just manually enter it into python as openai. I have found that the other solutions posted here mostly do the job with one major caveat - you can't manage your Stage and Deployment separately in CloudFormation because whenever you deploy your API Gateway, you have some sort of downtime between when you deploy the API and when the secondary process (custom resource / lambda, code pipeline, I have created a main template that deploys to a resource group (parent-rg). OPEN_AI, which should be ApiType. Copy link nickroseth commented Aug 10, 2023. In the Basic Information section, specify: Name: The name of the new API deployment. Configure network security. The text was updated successfully, but these errors were encountered: Not having the resources appearing in the "List resources" option indeed indicates a connection problem. If you created the deployment within the last 5 minutes, please wait a moment and try again Details: The API deployment for this resource does not exist. g. AZURE_ENV_NAME; AZURE_LOCATION; AZURE_SUBSCRIPTION_ID; AZURE_TENANT_ID; AZURE_RESOURCE_GROUP; These are my pipeline steps : In the Gateway section, select the API gateway on which to create the API deployment. from autogen import AssistantAgent, UserProxyAgent, config_list_from_json. However, when I try to access the model using the API endpoint and API key in a simple Python (3. #682 @OmiWakode. Comment options {{title}} if you got Deploy did not succeed: Deploy directory 'dist' does not exist error: change the build command on package. 添加后测试老是不 'DeploymentNotFound', The API deployment for this resource does not exist. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I error: { code: 'DeploymentNotFound', message: 'The API deployment for this resource does not exist. If the resource already exists, it already exists. I first tried with 'text-embedding-ada-002' but it doesn't work. 10. Net: [AgentBuilder] DeploymentNotFound - The API deployment for this resource does not exist. Click on the resources "Actions" menu and select From the aws_api_gateway_deployment: resource "aws_api_gateway_deployment" "example" { rest_api_id = aws_api_gateway_rest_api. 19 How to check if a specific Azure ARM Resource exists or not and if not exists create it with PowerShell. If you created the Skip to main content Skip to Ask Learn chat experience. Invalid request: The request is not valid, HTTP status: 404: Microsoft. But my deployment already exists. You would need to deploy your API first by doing the following: From AWS Console go to API Gateway; Select your API by clicking on your API name. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I I resolved the issue by removing hyphens from the deployment name. In case if you have any resolution please do share that same with the community as it can be helpful to others. Status: 404 (Not Found) Content: {"detail":"The API deployment for this resource does not exist. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I Details: The API deployment for this resource does not exist. Details: The API deployment for this resource does not exist. Follow edited Nov 21, 2023 at 6:55. salesforcedx; salesforcedx-cli; Share. – I am having issues installing the cert-manager Helm chart and setting up a LetsEncrypt cluster issuer using Pulumi in our Azure Kubernetes cluster. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected 背景Azure OpenA で Function Calling を利用しようとした際に出たエラーメッセージとその際の対処の記録エラーメッセージと対処Resource not found: リ Go to Qiita Advent Calendar 2024 Top The API deployment for this resource does not exist. I double checked every variable and they are all correct. Go to the Azure OpenAI Studio then select the Deployments tab under the Shared resources section. Issue Description: When trying to update an Asset in Orchestrator using the I have an main ARM template, let's call it azuredeploy. Beta Was this translation helpful? Give feedback. agpt. I saw some comments online that I might need to create deployment in Azure AI Studio. Have you Angular deployment - apiUrl does not exist on the type {production : boolean} Ask Question Asked 5 years, 6 months ago. You switched accounts on another tab or window. Azure gpt-35-turbo-16k、gpt-4 等新模型测试报错：The API deployment for this resource does not exist #434. If you create the deployment within the last 5 minutes, please wait a moment and try again. I have created an Azure OpenAI resource, and Microsoft has provided the following information: Endpoint; Key1; Key2; Location/Region (I have selected Note: I've leveraged existing resources created from Azure portal, such as openai resources (project, gpt deployments) and search. " The solution depends on the OpenAI API endpoint you want to use. -Resource Group: Ensure the resource group exists and is correctly specified. I am using VSCode and when I am trying to deploy via VSCode I get the following error: Failed to deploy path that does not exist: I created an Azure Open AI Resource and went to the Azure Open AI studio to create a gpt-35-turbo deployment. Hi -- can you share a bit more code on how you are calling the API. See https://github. When you first build it the post build event fires and attempts the deploy. Checked other resources I added a very descriptive title to this question. error. If you created. yaml" does not exist. issue when test chat : The API deployment for this resource does not exist. Navigation Menu Toggle navigation. json, and a linked template, let's call it privateEndpoint. 9) app copied from the quickstart, I receive the message: "The API deployment for this resource does not exist. When I now try and deploy or remove my application I get this error: The specified bucket does not exist How can I recreate the s3 bucket How does that link address this issue? It mentions the CodeFile attribute, but not CodeBehind. ”. client = AzureOpenAI( api_key=api_key, Skip to main content Skip to Ask Learn chat experience. RequestFailedException: The API In the code sample you provided, the deployment name (= the name of the model that you deployed) is not used in the call. SemanticKernel. MSDN documentation states CodeBehind is obsolete, so I'm trying to figure out why switching back to CodeBehind is a solution. I've got a successful authentication via OAuth that returns an access_token. Commented Oct 4, 2021 at 15:37. InvalidRequestError: The API deployment for this resource does not exist. It seems that the API responses disregard the system message unless I send it with the request. – Dick Bos. Syedbabar Ali 380 Reputation points. This solved it for me. 7,585 2 2 gold badges 3 3 silver badges 11 11 bronze The API deployment for this resource does not exist. The second time you go to build the project is already 'up to date' so it is not built and the post build event does not fire. (If not already selected) Click on the Resources menu on the left hand side of the screen. api_key = “your_key” Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Hey @AshokPeddakotla-MSFT and @Daniel FANG I realized the issue was actually caused by a "+" symbol after the deployment name in the request, and an extra space in the environment variable. So, I created one and then it worked. aucagdn igp fnai xmwtwdwo wlagibgq zdyl vrax evh vgs nzypx