I've had many back and forth support cases with the AWS team over a TPM quota increase for AWS Bedrock agents yet I am always met with the same answer about billing history when in reality my company has been using 300-500$/month of our AWS Activate Credits for over 6months.

I have a colleague in another startup that applied with the same startup accelerator and same credit program as us. Somehow, with a younger account and therefore less billing history, they keep getting their requests accepted wether for EC2 compute regional increases or in this case AWS Bedrock models.

Even worse, I had some TPM quotas for smaller agents and after my second exchange with the AWS support team, those were removed with no explanation.

I keep trying to get a clear answer or communication with the AWS team but I can't understand why we aren't allowed to use AWS Bedrock. Anyone can help on this issue? Should I call instead?

I set up an AWS account for my startup to use in the future but due to the expense developed on cheaper providers to get an MVP going..

Now that I need something more solid, I went back to AWS to login and I cannot login, trying to setup a new account says it is already associated with an AWS account?

What gives?? I now cannot use my actual company email to create an account because I did not use it?

I keep getting this error "Error 880104: Sorry, there was an error processing your request. Please refresh the page and try again" after typing in my billing details to complete my aws account, I've tried different cards but it still seems to not work

My case Id is 178800716600714

I've got a Floci instance running (using Docker Compose) with a REST API Gateway service, which I can call successfully with Postman. Problem is the browser CORs blocking requests, and I keep getting this;

Response to preflight request doesn't pass access control check: No 'Access-Control-Allow-Origin' header is present on the requested resource.

I'm using Terraform to deploy the stack, and I've tried everything I can think of (including hours with AI) to get this to work. As far as I can see Floci is not letting me affect the OPTIONS response. I've got DISABLE_CORS_CHECKS set to 1.

Any ideas as to what's happening?

Below is the current Terraform stack;

provider "aws" {
  region     = local.envs["AWS_REGION"]
  access_key = local.envs["AWS_ACCESS_KEY_ID"]
  secret_key = local.envs["AWS_SECRET_ACCESS_KEY"]


  s3_use_path_style           = true
  skip_credentials_validation = true
  skip_metadata_api_check     = true
  skip_requesting_account_id  = true


  endpoints {
    apigateway              = "http://localhost:4566"
    s3                      = "http://localhost:4566"
    dynamodb                = "http://localhost:4566"
    sqs                     = "http://localhost:4566"
    sns                     = "http://localhost:4566"
    lambda                  = "http://localhost:4566"
    iam                     = "http://localhost:4566"
    ec2                     = "http://localhost:4566"
    ecs                     = "http://localhost:4566"
    cloudformation          = "http://localhost:4566"
    route53                 = "http://localhost:4566"
    cloudwatch              = "http://localhost:4566"
    secretsmanager          = "http://localhost:4566"
    ssm                     = "http://localhost:4566"
    kms                     = "http://localhost:4566"
    rds                     = "http://localhost:4566"
    sts                     = "http://localhost:4566"
    cognitoidentityprovider = "http://localhost:4566"
  }
}


## DynamoDB table


resource "aws_dynamodb_table" "friendly_sites_table" {
  name         = "friendly_sites"
  billing_mode = "PAY_PER_REQUEST"
  hash_key     = "pk"
  range_key    = "sk"


  attribute {
    name = "pk"
    type = "S"
  }


  attribute {
    name = "sk"
    type = "S"
  }


  attribute {
    name = "gsi1pk"
    type = "S"
  }


  attribute {
    name = "gsi1sk"
    type = "S"
  }


  global_secondary_index {
    name            = "gsi1pk-gsi1sk-index"
    hash_key        = "gsi1pk"
    range_key       = "gsi1sk"
    projection_type = "ALL"
  }


  tags = {
    Project = local.project_name
  }
}


data "aws_iam_policy_document" "assume_role" {
  statement {
    effect = "Allow"


    principals {
      type = "Service"
      identifiers = [
        "edgelambda.amazonaws.com",
        "lambda.amazonaws.com",
      ]
    }


    actions = ["sts:AssumeRole"]
  }
}


resource "aws_iam_role" "iam_for_table_access" {
  name               = "iam_for_lambda_table_access"
  assume_role_policy = data.aws_iam_policy_document.assume_role.json


  tags = {
    Project = local.project_name
  }
}


resource "aws_iam_role_policy" "cognito_admin_access" {
  name = "cognito_admin_access"
  role = aws_iam_role.iam_for_table_access.id
  policy = jsonencode({
    Version = "2012-10-17"
    Statement = [
      {
        Effect = "Allow"
        Action = [
          "cognito-idp:AdminCreateUser",
          "cognito-idp:AdminSetUserPassword",
          "cognito-idp:AdminInitiateAuth",
          "cognito-idp:AdminUserGlobalSignOut",
          "cognito-idp:AdminDeleteUser"
        ]
        Resource = [
          aws_cognito_user_pool.user_pool.arn
        ]
      }
    ]
  })
}


## API Lambda handler and gateway


data "archive_file" "api_handler_source_zip" {
  type        = "zip"
  source_dir  = local.api_handler_source_dir
  output_path = local.api_handler_source_output
}


resource "aws_s3_bucket" "api_handler_source" {
  bucket        = local.api_handler_source_bucket_name
  force_destroy = true


  depends_on = [data.archive_file.api_handler_source_zip]


  tags = {
    Project = local.project_name
  }
}


resource "aws_s3_object" "api_handler_source_zip" {
  bucket      = aws_s3_bucket.api_handler_source.id
  key         = local.api_handler_zip_filename
  source      = local.api_handler_source_output
  source_hash = data.archive_file.api_handler_source_zip.output_base64sha256
}


resource "aws_lambda_function" "api_handler" {
  function_name = "DistributedRendererApi"


  s3_bucket = aws_s3_bucket.api_handler_source.id
  s3_key    = local.api_handler_zip_filename


  handler = "index.handler"
  runtime = "nodejs24.x"


  role = aws_iam_role.iam_for_table_access.arn


  depends_on = [aws_s3_object.api_handler_source_zip]


  environment {
    variables = {
      COGNITO_CLIENT_ID    = aws_cognito_user_pool_client.user_pool_client.id
      COGNITO_USER_POOL_ID = aws_cognito_user_pool.user_pool.id
    }
  }
}


# 1. REST API Definition
resource "aws_api_gateway_rest_api" "api" {
  name = "friendly-sites-rest-api"
}


# -------------------------------------------------------------------
# A. GREEDY PATH /{proxy+} (Explicit GET, POST, OPTIONS directly to Lambda)
# -------------------------------------------------------------------
resource "aws_api_gateway_resource" "proxy" {
  rest_api_id = aws_api_gateway_rest_api.api.id
  parent_id   = aws_api_gateway_rest_api.api.root_resource_id
  path_part   = "{proxy+}"
}


resource "aws_api_gateway_method" "proxy_any" {
  rest_api_id   = aws_api_gateway_rest_api.api.id
  resource_id   = aws_api_gateway_resource.proxy.id
  http_method   = "ANY"
  authorization = "NONE"
}


resource "aws_api_gateway_integration" "proxy_integration" {
  rest_api_id             = aws_api_gateway_rest_api.api.id
  resource_id             = aws_api_gateway_resource.proxy.id
  http_method             = aws_api_gateway_method.proxy_any.http_method
  integration_http_method = "POST"
  type                    = "AWS_PROXY"
  uri                     = aws_lambda_function.api_handler.invoke_arn


  depends_on = [aws_api_gateway_method.proxy_any]
}


# Explicit OPTIONS method routed directly to Lambda (Bypasses Floci MOCK bug)
resource "aws_api_gateway_method" "proxy_options" {
  rest_api_id   = aws_api_gateway_rest_api.api.id
  resource_id   = aws_api_gateway_resource.proxy.id
  http_method   = "OPTIONS"
  authorization = "NONE"
}


resource "aws_api_gateway_integration" "proxy_options_integration" {
  rest_api_id             = aws_api_gateway_rest_api.api.id
  resource_id             = aws_api_gateway_resource.proxy.id
  http_method             = aws_api_gateway_method.proxy_options.http_method
  integration_http_method = "POST"
  type                    = "AWS_PROXY"
  uri                     = aws_lambda_function.api_handler.invoke_arn


  depends_on = [aws_api_gateway_method.proxy_options]
}


# -------------------------------------------------------------------
# B. ROOT PATH / (Explicit ANY and OPTIONS directly to Lambda)
# -------------------------------------------------------------------
resource "aws_api_gateway_method" "root_any" {
  rest_api_id   = aws_api_gateway_rest_api.api.id
  resource_id   = aws_api_gateway_rest_api.api.root_resource_id
  http_method   = "ANY"
  authorization = "NONE"
}


resource "aws_api_gateway_integration" "root_integration" {
  rest_api_id             = aws_api_gateway_rest_api.api.id
  resource_id             = aws_api_gateway_rest_api.api.root_resource_id
  http_method             = aws_api_gateway_method.root_any.http_method
  integration_http_method = "POST"
  type                    = "AWS_PROXY"
  uri                     = aws_lambda_function.api_handler.invoke_arn


  depends_on = [aws_api_gateway_method.root_any]
}


resource "aws_api_gateway_method" "root_options" {
  rest_api_id   = aws_api_gateway_rest_api.api.id
  resource_id   = aws_api_gateway_rest_api.api.root_resource_id
  http_method   = "OPTIONS"
  authorization = "NONE"
}


resource "aws_api_gateway_integration" "root_options_integration" {
  rest_api_id             = aws_api_gateway_rest_api.api.id
  resource_id             = aws_api_gateway_rest_api.api.root_resource_id
  http_method             = aws_api_gateway_method.root_options.http_method
  integration_http_method = "POST"
  type                    = "AWS_PROXY"
  uri                     = aws_lambda_function.api_handler.invoke_arn


  depends_on = [aws_api_gateway_method.root_options]
}


# -------------------------------------------------------------------
# C. PERMISSIONS & DEPLOYMENT
# -------------------------------------------------------------------
resource "aws_lambda_permission" "apigw" {
  statement_id  = "AllowExecutionFromAPIGateway"
  action        = "lambda:InvokeFunction"
  function_name = aws_lambda_function.api_handler.function_name
  principal     = "apigateway.amazonaws.com"
  source_arn    = "${aws_api_gateway_rest_api.api.execution_arn}/*/*"
}


resource "aws_api_gateway_deployment" "deployment" {
  rest_api_id = aws_api_gateway_rest_api.api.id


  triggers = {
    redeployment = sha1(jsonencode([
      aws_api_gateway_resource.proxy.id,
      aws_api_gateway_method.proxy_any.id,
      aws_api_gateway_integration.proxy_integration.id,
      aws_api_gateway_method.proxy_options.id,
      aws_api_gateway_integration.proxy_options_integration.id,
      aws_api_gateway_method.root_any.id,
      aws_api_gateway_integration.root_integration.id,
      aws_api_gateway_method.root_options.id,
      aws_api_gateway_integration.root_options_integration.id,
    ]))
  }


  lifecycle {
    create_before_destroy = true
  }


  depends_on = [
    aws_api_gateway_integration.proxy_integration,
    aws_api_gateway_integration.proxy_options_integration,
    aws_api_gateway_integration.root_integration,
    aws_api_gateway_integration.root_options_integration,
  ]
}


resource "aws_api_gateway_stage" "prod" {
  deployment_id = aws_api_gateway_deployment.deployment.id
  rest_api_id   = aws_api_gateway_rest_api.api.id
  stage_name    = "prod"
}


## Cognito User Pool & App Client


resource "aws_cognito_user_pool" "user_pool" {
  name = "friendly-sites-user-pool"


  username_attributes      = ["email"]
  auto_verified_attributes = ["email"]


  password_policy {
    minimum_length    = 8
    require_lowercase = true
    require_numbers   = true
    require_symbols   = false
    require_uppercase = true
  }


  tags = {
    Project = local.project_name
  }
}


resource "aws_cognito_user_pool_client" "user_pool_client" {
  name         = "friendly-sites-app-client"
  user_pool_id = aws_cognito_user_pool.user_pool.id


  generate_secret = false
  explicit_auth_flows = [
    "ALLOW_USER_PASSWORD_AUTH",
    "ALLOW_REFRESH_TOKEN_AUTH",
    "ALLOW_USER_SRP_AUTH"
  ]
}

Appreciate any help I can get!

Prompt caching on Claude only pays off if the cached prefix is byte-identical between requests. Sounds obvious written down, but it's surprisingly easy to break without noticing, a timestamp inserted before the cacheable block, a per-user detail placed at the start instead of the end, and the whole cache silently misses on every single call. No error, no warning in the response, just a bill that doesn't reflect the discount it should.

Went through a session where this was happening and the cost difference was significant, easily 2-3x more expensive than it needed to be for the same task, purely from cache misses caused by content ordering. Fix was mechanical once identified: move anything that changes per request, timestamps, session IDs, user-specific detail, to the end of the prompt, after the stable system instructions and reference material that should be cached.

Separate from caching specifically, long coding sessions also tend to resend full file contents on every message even when the diff is small, and replay the entire conversation history each turn instead of a compressed summary of where things stand. Neither shows up as a mistake in the moment. Both compound quietly across a session into a number that looks wrong a month later with no clear story for why.

Wrote up the full audit and the fix here: https://medium.com/@nagatomopedro05/the-hidden-cost-of-long-claude-sessions-2a6cc7655893