Bedrock Mantle の Responses API はどこまで Azure と互換性があるか試してみた

curl -s "${ENDPOINT}openai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "api-key: ${KEY}" \
  -d '{
    "model": "gpt-41-mini",
    "instructions": "You are a DevOps engineer assistant. Be concise.",
    "input": "Our ECS task keeps failing. Here is the error from CloudWatch:\n\nResourceInitializationError: unable to pull secrets or registry auth: execution resource retrieval failed: unable to retrieve ecr registry auth: service call has been retried 3 time(s): RequestError: send request failed caused by: Post https://api.ecr.us-east-1.amazonaws.com/: dial tcp 10.0.1.42:443: i/o timeout"
  }'

{
  "id": "resp_087784ee8eba51a60069f0bed6d29c819585e6d3c2530c9844",
  "object": "response",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "content": [
        {
          "type": "output_text",
          "text": "The ECS task is failing because it cannot retrieve ECR registry auth due to a network timeout when trying to reach the ECR endpoint.\n\n**Likely causes:**\n1. The ECS task's subnet does not have proper internet access or NAT gateway configured.\n2. Security group or NACL blocking outbound HTTPS (port 443).\n3. Missing or incorrect VPC endpoint for ECR if running in a private subnet without internet.\n\n**Actions to fix:**\n- Ensure the ECS tasks are in subnets with NAT Gateway or Internet Gateway for outbound HTTPS access.\n- Check and allow outbound port 443 in Security Groups and NACLs.\n- Alternatively, configure VPC Endpoints for ECR (`com.amazonaws.us-east-1.ecr.api` and `com.amazonaws.us-east-1.ecr.dkr`) and for S3 if needed to avoid internet dependency."
        }
      ]
    }
  ]
}

curl -s "${ENDPOINT}openai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "api-key: ${KEY}" \
  -d '{
    "model": "gpt-41-mini",
    "input": "What VPC networking changes should I check? Give me the AWS CLI commands.",
    "previous_response_id": "resp_087784ee8eba51a60069f0bed6d29c819585e6d3c2530c9844"
  }'

# Turn 1
curl -s --aws-sigv4 "aws:amz:us-east-1:bedrock-mantle" \
  --user "${AWS_ACCESS_KEY_ID}:${AWS_SECRET_ACCESS_KEY}" \
  -H "x-amz-security-token: ${AWS_SESSION_TOKEN}" \
  -H "Content-Type: application/json" \
  -X POST "https://bedrock-mantle.us-east-1.api.aws/v1/responses" \
  -d '{
    "model": "openai.gpt-oss-120b",
    "instructions": "You are a DevOps engineer assistant. Be concise.",
    "input": "Our ECS task keeps failing. Here is the error from CloudWatch:\n\nResourceInitializationError: unable to pull secrets or registry auth: execution resource retrieval failed: unable to retrieve ecr registry auth: service call has been retried 3 time(s): RequestError: send request failed caused by: Post https://api.ecr.us-east-1.amazonaws.com/: dial tcp 10.0.1.42:443: i/o timeout"
  }'

{
  "id": "resp_pbknkjxqs4ekzxoujxftabh2msmflyzyb4yfge4rs3zg3gazjtjq",
  "object": "response",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "content": [
        {
          "type": "output_text",
          "text": "## TL;DR\n\nThe error means the task's execution role cannot reach the Amazon ECR public endpoint (or the VPC endpoint you've set up for it). In practice this is almost always a networking problem (security group, subnet routing, NAT/Internet gateway, VPC endpoint, DNS, or a mis-configured task execution role).\n\n..."
        }
      ]
    }
  ]
}

# Turn 2: previous_response_id 付き
curl -s --aws-sigv4 "aws:amz:us-east-1:bedrock-mantle" \
  --user "${AWS_ACCESS_KEY_ID}:${AWS_SECRET_ACCESS_KEY}" \
  -H "x-amz-security-token: ${AWS_SESSION_TOKEN}" \
  -H "Content-Type: application/json" \
  -X POST "https://bedrock-mantle.us-east-1.api.aws/v1/responses" \
  -d '{
    "model": "openai.gpt-oss-120b",
    "input": "What VPC networking changes should I check? Give me the AWS CLI commands.",
    "previous_response_id": "resp_pbknkjxqs4ekzxoujxftabh2msmflyzyb4yfge4rs3zg3gazjtjq"
  }'

# Azure
curl -s "${ENDPOINT}openai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "api-key: ${KEY}" \
  -d '{
    "model": "gpt-41-mini",
    "input": "What is the weather in Tokyo?",
    "tools": [{"type": "function", "name": "get_weather", "description": "Get weather", "parameters": {"type": "object", "properties": {"city": {"type": "string"}}}}]
  }'

curl -s "${ENDPOINT}openai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "api-key: ${KEY}" \
  -d '{
    "model": "gpt-41-mini",
    "input": "Calculate the first 10 Fibonacci numbers using Python.",
    "tools": [{"type": "code_interpreter", "container": {"type": "auto"}}]
  }'

{
  "output": [
    {"type": "message", "content": [{"type": "output_text", "text": "Sure! Here's a Python code snippet..."}]},
    {"type": "code_interpreter_call", "code": "def fibonacci(n):\n    fib = [0, 1]\n    ..."},
    {"type": "message", "content": [{"type": "output_text", "text": "The first 10 Fibonacci numbers are:\n\n0, 1, 1, 2, 3, 5, 8, 13, 21, 34"}]}
  ]
}

Invalid 'tools': unknown variant `web_search`, expected `function` or `mcp`