[アップデート] Amazon Bedrock が OpenAI の Responses API をサポートするようになりました #AWSreInvent

from openai import OpenAI

client = OpenAI(
    base_url="https://bedrock-runtime.us-west-2.amazonaws.com/openai/v2",
    api_key="$AWS_BEARER_TOKEN_BEDROCK" # Replace with actual API key
)

completion = client.chat.completions.create(
    model="gpt-oss-20b",
    messages=[
        {
            "role": "developer",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Hello!"
        }
    ]
)

print(completion.choices[0].message)

export OPENAI_BASE_URL=https://bedrock-mantle.us-west-2.api.aws/v1

# List all available models using the OpenAI SDK
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

from openai import OpenAI

client = OpenAI()

models = client.models.list()

for model in models.data:
    print(model.id)

export AWS_REGION=us-west-2
export OPENAI_API_KEY=bedrock-api-key-hoge # Amazon Bedrock のコンソールから取得
export OPENAI_BASE_URL=https://bedrock-mantle.us-west-2.api.aws/v1

takakuni@ short-term % uv run models.py
mistral.magistral-small-2509
deepseek.v3.1
google.gemma-3-27b-it
moonshotai.kimi-k2-thinking
openai.gpt-oss-safeguard-120b
nvidia.nemotron-nano-3-30b
qwen.qwen3-coder-30b-a3b-instruct
openai.gpt-oss-120b
qwen.qwen3-next-80b-a3b-instruct
mistral.ministral-3-14b-instruct
openai.gpt-oss-20b
minimax.minimax-m2
nvidia.nemotron-nano-9b-v2
google.gemma-3-4b-it
openai.gpt-oss-safeguard-20b
nvidia.nemotron-nano-12b-v2
mistral.mistral-large-3-675b-instruct
qwen.qwen3-32b
qwen.qwen3-vl-235b-a22b-instruct
google.gemma-3-12b-it
zai.glm-4.6
mistral.voxtral-small-24b-2507
qwen.qwen3-coder-480b-a35b-instruct
mistral.ministral-3-3b-instruct
mistral.voxtral-mini-3b-2507
qwen.qwen3-235b-a22b-2507
mistral.ministral-3-8b-instruct

export AWS_REGION=us-west-2
+ export OPENAI_API_KEY=bedrock-api-key-hoge # Amazon Bedrock のコンソールから取得
- export OPENAI_API_KEY=bedrock-api-key-hoge # Amazon Bedrock のコンソールから取得
export OPENAI_BASE_URL=https://bedrock-mantle.us-west-2.api.aws/v1

takakuni@ openai-api % uv run models.py
Traceback (most recent call last):
  File "/Users/takakuni/Documents/openai-api/models.py", line 8, in <module>
    models = client.models.list()
             ^^^^^^^^^^^^^^^^^^^^
  File "/Users/takakuni/Documents/openai-api/.venv/lib/python3.12/site-packages/openai/resources/models.py", line 91, in list
    return self._get_api_list(
           ^^^^^^^^^^^^^^^^^^^
  File "/Users/takakuni/Documents/openai-api/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1308, in get_api_list
    return self._request_api_list(model, page, opts)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/takakuni/Documents/openai-api/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1159, in _request_api_list
    return self.request(page, options, stream=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/takakuni/Documents/openai-api/.venv/lib/python3.12/site-packages/openai/_base_client.py", line 1047, in request
    raise self._make_status_error_from_response(err.response) from None
openai.NotFoundError: Error code: 404

{
	"Version": "2012-10-17",
	"Statement": [
		{
			"Sid": "BedrockAPIs",
			"Effect": "Allow",
			"Action": [
				"bedrock:Get*",
				"bedrock:List*",
				"bedrock:CallWithBearerToken",
				"bedrock:BatchDeleteEvaluationJob",
				"bedrock:CreateEvaluationJob",
				"bedrock:CreateGuardrail",
				"bedrock:CreateGuardrailVersion",
				"bedrock:CreateInferenceProfile",
				"bedrock:CreateModelCopyJob",
				"bedrock:CreateModelCustomizationJob",
				"bedrock:CreateModelImportJob",
				"bedrock:CreateModelInvocationJob",
				"bedrock:CreatePromptRouter",
				"bedrock:CreateProvisionedModelThroughput",
				"bedrock:DeleteCustomModel",
				"bedrock:DeleteGuardrail",
				"bedrock:DeleteImportedModel",
				"bedrock:DeleteInferenceProfile",
				"bedrock:DeletePromptRouter",
				"bedrock:DeleteProvisionedModelThroughput",
				"bedrock:StopEvaluationJob",
				"bedrock:StopModelCustomizationJob",
				"bedrock:StopModelInvocationJob",
				"bedrock:TagResource",
				"bedrock:UntagResource",
				"bedrock:UpdateGuardrail",
				"bedrock:UpdateProvisionedModelThroughput",
				"bedrock:ApplyGuardrail",
				"bedrock:InvokeModel",
				"bedrock:InvokeModelWithResponseStream"
			],
			"Resource": "*"
		},
		{
			"Sid": "DescribeKey",
			"Effect": "Allow",
			"Action": ["kms:DescribeKey"],
			"Resource": "arn:*:kms:*:::*"
		},
		{
			"Sid": "APIsWithAllResourceAccess",
			"Effect": "Allow",
			"Action": [
				"iam:ListRoles",
				"ec2:DescribeVpcs",
				"ec2:DescribeSubnets",
				"ec2:DescribeSecurityGroups"
			],
			"Resource": "*"
		},
		{
			"Sid": "MarketplaceOperationsFromBedrockFor3pModels",
			"Effect": "Allow",
			"Action": [
				"aws-marketplace:Subscribe",
				"aws-marketplace:ViewSubscriptions",
				"aws-marketplace:Unsubscribe"
			],
			"Resource": "*",
			"Condition": {
				"StringEquals": {
					"aws:CalledViaLast": "bedrock.amazonaws.com"
				}
			}
		}
	]
}

{
	"Version": "2012-10-17",
	"Statement": [
		{
			"Sid": "BedrockMantleInference",
			"Effect": "Allow",
			"Action": [
				"bedrock-mantle:Get*",
				"bedrock-mantle:List*",
				"bedrock-mantle:CreateInference"
			],
			"Resource": "arn:aws:bedrock-mantle:*:*:project/*"
		},
		{
			"Sid": "BedrockMantleCallWithBearerToken",
			"Effect": "Allow",
			"Action": ["bedrock-mantle:CallWithBearerToken"],
			"Resource": "*"
		}
	]
}

takakuni@ long-term % uv run models.py
qwen.qwen3-vl-235b-a22b-instruct
openai.gpt-oss-safeguard-120b
qwen.qwen3-32b
mistral.ministral-3-8b-instruct
openai.gpt-oss-safeguard-20b
mistral.voxtral-mini-3b-2507
mistral.magistral-small-2509
nvidia.nemotron-nano-3-30b
mistral.ministral-3-3b-instruct
openai.gpt-oss-20b
zai.glm-4.6
google.gemma-3-4b-it
nvidia.nemotron-nano-12b-v2
mistral.ministral-3-14b-instruct
deepseek.v3.1
google.gemma-3-27b-it
openai.gpt-oss-120b
qwen.qwen3-coder-480b-a35b-instruct
nvidia.nemotron-nano-9b-v2
google.gemma-3-12b-it
moonshotai.kimi-k2-thinking
qwen.qwen3-next-80b-a3b-instruct
qwen.qwen3-coder-30b-a3b-instruct
minimax.minimax-m2
mistral.voxtral-small-24b-2507
qwen.qwen3-235b-a22b-2507
mistral.mistral-large-3-675b-instruct

import boto3
import httpx
from openai import OpenAI
from botocore.auth import SigV4Auth
from botocore.awsrequest import AWSRequest

class AWSBedrockMantleAuth(httpx.Auth):
    def __init__(self, service: str, region: str, credentials):
        self.service = service
        self.region = region
        self.credentials = credentials

    def auth_flow(self, request: httpx.Request):
        # 1. 署名対象にするヘッダーを厳選する
        # 全てのヘッダーを含めると、送信時に httpx が書き換えて署名エラーになるため
        # 必須のものに絞り、かつ大文字小文字を整理
        headers_to_sign = {
            'host': request.url.host,
            'x-amz-date': None, # SigV4Auth が後で追加する
        }

        # ヘッダーの抽出
        aws_request = AWSRequest(
            method=request.method,
            url=str(request.url),
            data=request.content,
            headers=headers_to_sign
        )

        # 署名処理
        signer = SigV4Auth(self.credentials, self.service, self.region)
        signer.add_auth(aws_request)

        # 署名によって生成されたヘッダー（Authorization, X-Amz-Date, X-Amz-Security-Token） を、元の httpx リクエストに反映
        for key, value in aws_request.headers.items():
            request.headers[key] = value

        yield request

# --- 設定 ---
region = "us-west-2"
session = boto3.Session()
credentials = session.get_credentials().get_frozen_credentials()

client = OpenAI(
    api_key="dummy",
    http_client=httpx.Client(
        auth=AWSBedrockMantleAuth("bedrock-mantle", region, credentials)
    )
)

models = client.models.list()

for model in models.data:
    print(model.id)

takakuni@ iam % uv run models.py
openai.gpt-oss-20b
google.gemma-3-27b-it
mistral.voxtral-mini-3b-2507
moonshotai.kimi-k2-thinking
qwen.qwen3-coder-30b-a3b-instruct
mistral.magistral-small-2509
google.gemma-3-4b-it
mistral.ministral-3-8b-instruct
mistral.mistral-large-3-675b-instruct
zai.glm-4.6
nvidia.nemotron-nano-9b-v2
qwen.qwen3-next-80b-a3b-instruct
qwen.qwen3-235b-a22b-2507
qwen.qwen3-coder-480b-a35b-instruct
openai.gpt-oss-120b
nvidia.nemotron-nano-12b-v2
mistral.ministral-3-3b-instruct
openai.gpt-oss-safeguard-20b
deepseek.v3.1
nvidia.nemotron-nano-3-30b
google.gemma-3-12b-it
openai.gpt-oss-safeguard-120b
minimax.minimax-m2
mistral.ministral-3-14b-instruct
qwen.qwen3-vl-235b-a22b-instruct
mistral.voxtral-small-24b-2507
qwen.qwen3-32b

# Create a basic response using the OpenAI SDK
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="openai.gpt-oss-120b",
    input=[
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
)

# response.output から message の text を取り出す
messages = [
    item for item in getattr(response, "output", [])
    if getattr(item, "type", None) == "message"
]
texts = []
for msg in messages:
    for content in getattr(msg, "content", []) or []:
        text = getattr(content, "text", None)
        if text:
            texts.append(text)
text = "\n".join(texts) if texts else None

if text:
    print(text)
else:
    # 念のためレスポンス全体も確認できるように
    print(response)

takakuni@ short-term % uv run responses.py
Hello! 👋 I’m here to help with almost anything you need. Some of the things I can do include:

- **Answering questions** – from quick facts to deep‑dive explanations on science, history, tech, art, and more.
- **Writing & editing** – essays, blog posts, emails, stories, poems, jokes, resumes, cover letters, etc.
- **Brainstorming & planning** – ideas for projects, gifts, events, business strategies, study schedules, travel itineraries, and so on.
- **Learning & tutoring** – step‑by‑step help with math, programming, language learning, exam prep, or any subject you’re curious about.
- **Coding assistance** – writing, debugging, or explaining code in many languages (Python, JavaScript, Java, C++, SQL, …).
- **Data & analysis guidance** – tips on working with spreadsheets, statistics, visualizations, or interpreting results.
- **Creative fun** – role‑playing, world‑building, character creation, puzzles, riddles, or just a friendly chat.

Just let me know what you’d like to work on or learn about, and we’ll dive right in! 🚀

takakuni@ long-term % uv run responses.py
Hey there! 👋 I’m here to assist with a wide range of tasks, such as:

- **Answering questions** – from quick facts to deeper explanations on science, history, tech, and more.
- **Writing & editing** – blog posts, essays, reports, creative stories, emails, resumes, cover letters, social‑media copy, etc.
- **Problem‑solving** – math, programming, logic puzzles, data‑analysis guidance, troubleshooting tech issues.
- **Learning & tutoring** – breaking down concepts, creating study guides, designing practice problems, language practice.
- **Planning & organization** – itineraries, project outlines, meeting agendas, goal‑setting frameworks, habit trackers.
- **Brainstorming** – ideas for products, marketing campaigns, gifts, events, scripts, game mechanics, etc.
- **Research assistance** – finding reliable sources, summarizing articles, comparing options.
- **Conversational support** – practicing interview answers, role‑playing scenarios, offering motivation or a friendly chat.

…and pretty much anything else that can be expressed in text.

What’s on your mind today? Let me know how I can help!

import boto3
import httpx
from openai import OpenAI
from botocore.auth import SigV4Auth
from botocore.awsrequest import AWSRequest

class AWSBedrockMantleAuth(httpx.Auth):
    def __init__(self, service: str, region: str, credentials):
        self.service = service
        self.region = region
        self.credentials = credentials

    def auth_flow(self, request: httpx.Request):
        # 1. 署名対象にするヘッダーを厳選する
        # 全てのヘッダーを含めると、送信時に httpx が書き換えて署名エラーになるため
        # 必須のものに絞り、かつ大文字小文字を整理
        headers_to_sign = {
            'host': request.url.host,
            'x-amz-date': None, # SigV4Auth が後で追加する
        }

        # ヘッダーの抽出
        aws_request = AWSRequest(
            method=request.method,
            url=str(request.url),
            data=request.content,
            headers=headers_to_sign
        )

        # 署名処理
        signer = SigV4Auth(self.credentials, self.service, self.region)
        signer.add_auth(aws_request)

        # 署名によって生成されたヘッダー（Authorization, X-Amz-Date, X-Amz-Security-Token） を、元の httpx リクエストに反映
        for key, value in aws_request.headers.items():
            request.headers[key] = value

        yield request

# --- 設定 ---
region = "us-west-2"
session = boto3.Session()
credentials = session.get_credentials().get_frozen_credentials()

client = OpenAI(
    api_key="dummy",
    http_client=httpx.Client(
        auth=AWSBedrockMantleAuth("bedrock-mantle", region, credentials)
    )
)

response = client.responses.create(
    model="openai.gpt-oss-120b",
    input=[
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
)

# response.output から message の text を取り出す
messages = [
    item for item in getattr(response, "output", [])
    if getattr(item, "type", None) == "message"
]
texts = []
for msg in messages:
    for content in getattr(msg, "content", []) or []:
        text = getattr(content, "text", None)
        if text:
            texts.append(text)
text = "\n".join(texts) if texts else None

if text:
    print(text)
else:
    # 念のためレスポンス全体も確認できるように
    print(response)

takakuni@ iam % uv run responses.py
Hello! 👋 I’m here to help with almost anything you might need—whether that’s answering a question, brainstorming ideas, polishing a piece of writing, tackling a bit of code, learning a new concept, planning a trip, drafting an email, solving a puzzle, or just having a friendly chat.

**A quick snapshot of what I can do:**

| Category | Examples of what I can help with |
|----------|-----------------------------------|
| **Information & Research** | Summarize articles, explain complex topics, fact‑check, provide up‑to‑date statistics (as of 2024‑06) |
| **Writing & Editing** | Draft essays, blog posts, letters, resumes, cover letters, poetry, scripts; improve style, grammar, tone, structure |
| **Creative Projects** | Brainstorm story ideas, characters, plot twists, world‑building, jokes, marketing copy, slogans |
| **Programming & Tech** | Explain algorithms, debug code snippets (Python, JavaScript, Java, C++, etc.), write small programs, suggest libraries, help with Git |
| **Learning & Tutoring** | Walk through math problems, science concepts, language practice, test‑prep tips |
| **Productivity & Planning** | Create to‑do lists, project plans, meeting agendas, time‑management strategies |
| **Personal & Lifestyle** | Meal planning, fitness routines, travel itineraries, gift ideas, hobby recommendations |
| **Conversation & Support** | Offer a listening ear, role‑play scenarios, practice interviews, discuss philosophy, explore hobbies |

Just let me know what you’re working on or curious about, and we’ll dive in together! 🌟

from openai import OpenAI

client = OpenAI(
    base_url="https://bedrock-runtime.us-west-2.amazonaws.com/openai/v1",
    api_key="$AWS_BEARER_TOKEN_BEDROCK" # Replace with actual API key
)

completion = client.chat.completions.create(
    model="openai.gpt-oss-20b-1:0",
    messages=[
        {
            "role": "developer",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Hello!"
        }
    ]
)

print(completion.choices[0].message)

# Create a basic response
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

curl -X POST $OPENAI_BASE_URL/responses \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $OPENAI_API_KEY" \
   -d '{
    "model": "openai.gpt-oss-120b",
    "input": [
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
}'

# List all available models
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

curl -X GET $OPENAI_BASE_URL/models \
   -H "Authorization: Bearer $OPENAI_API_KEY"

takakuni@ short-term % curl -X GET $OPENAI_BASE_URL/models \
   -H "Authorization: Bearer $OPENAI_API_KEY"
{"data":[{"created":1764460800,"id":"qwen.qwen3-32b","object":"model","owned_by":"system"},{"created":1764460800,"id":"moonshotai.kimi-k2-thinking","object":"model","owned_by":"system"},{"created":1763923750,"id":"mistral.ministral-3-8b-instruct","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-12b-v2","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-12b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.magistral-small-2509","object":"model","owned_by":"system"},{"created":1765065600,"id":"nvidia.nemotron-nano-3-30b","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-120b","object":"model","owned_by":"system"},{"created":1763923654,"id":"mistral.ministral-3-3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-235b-a22b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-next-80b-a3b-instruct","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-9b-v2","object":"model","owned_by":"system"},{"created":1764460800,"id":"deepseek.v3.1","object":"model","owned_by":"system"},{"created":1763923896,"id":"mistral.mistral-large-3-675b-instruct","object":"model","owned_by":"system"},{"created":1763923865,"id":"mistral.ministral-3-14b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-120b","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-30b-a3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.voxtral-mini-3b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-20b","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-vl-235b-a22b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-27b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.voxtral-small-24b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-480b-a35b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"minimax.minimax-m2","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-20b","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-4b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"zai.glm-4.6","object":"model","owned_by":"system"}],"object":"list"}%

takakuni@ long-term % curl -X GET $OPENAI_BASE_URL/models \
   -H "Authorization: Bearer $OPENAI_API_KEY"
{"data":[{"created":1763923654,"id":"mistral.ministral-3-3b-instruct","object":"model","owned_by":"system"},{"created":1763923750,"id":"mistral.ministral-3-8b-instruct","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-12b-v2","object":"model","owned_by":"system"},{"created":1765065600,"id":"nvidia.nemotron-nano-3-30b","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-120b","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-20b","object":"model","owned_by":"system"},{"created":1763923896,"id":"mistral.mistral-large-3-675b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.voxtral-small-24b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-next-80b-a3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-235b-a22b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-20b","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.magistral-small-2509","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-30b-a3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-27b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-120b","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-9b-v2","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-vl-235b-a22b-instruct","object":"model","owned_by":"system"},{"created":1763923865,"id":"mistral.ministral-3-14b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.voxtral-mini-3b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-32b","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-480b-a35b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"deepseek.v3.1","object":"model","owned_by":"system"},{"created":1764460800,"id":"minimax.minimax-m2","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-12b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"moonshotai.kimi-k2-thinking","object":"model","owned_by":"system"},{"created":1764460800,"id":"zai.glm-4.6","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-4b-it","object":"model","owned_by":"system"}],"object":"list"}%

awscurl --service bedrock-mantle \
	--region us-west-2 \
	"https://bedrock-mantle.us-west-2.api.aws/v1/models"

takakuni@ iam % awscurl --service bedrock-mantle \
        --region us-west-2 \
        "https://bedrock-mantle.us-west-2.api.aws/v1/models"
{"data":[{"created":1764460800,"id":"mistral.voxtral-small-24b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-12b-it","object":"model","owned_by":"system"},{"created":1765065600,"id":"nvidia.nemotron-nano-3-30b","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-9b-v2","object":"model","owned_by":"system"},{"created":1764460800,"id":"zai.glm-4.6","object":"model","owned_by":"system"},{"created":1763923896,"id":"mistral.mistral-large-3-675b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-30b-a3b-instruct","object":"model","owned_by":"system"},{"created":1763769600,"id":"nvidia.nemotron-nano-12b-v2","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.magistral-small-2509","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-32b","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-120b","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-120b","object":"model","owned_by":"system"},{"created":1763923654,"id":"mistral.ministral-3-3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"moonshotai.kimi-k2-thinking","object":"model","owned_by":"system"},{"created":1764460800,"id":"mistral.voxtral-mini-3b-2507","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-27b-it","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-safeguard-20b","object":"model","owned_by":"system"},{"created":1764460800,"id":"minimax.minimax-m2","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-235b-a22b-2507","object":"model","owned_by":"system"},{"created":1763923865,"id":"mistral.ministral-3-14b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-next-80b-a3b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-vl-235b-a22b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"deepseek.v3.1","object":"model","owned_by":"system"},{"created":1763923750,"id":"mistral.ministral-3-8b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"openai.gpt-oss-20b","object":"model","owned_by":"system"},{"created":1764460800,"id":"qwen.qwen3-coder-480b-a35b-instruct","object":"model","owned_by":"system"},{"created":1764460800,"id":"google.gemma-3-4b-it","object":"model","owned_by":"system"}],"object":"list"}

# Create a basic response
# Requires OPENAI_API_KEY and OPENAI_BASE_URL environment variables

curl -X POST $OPENAI_BASE_URL/responses \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $OPENAI_API_KEY" \
   -d '{
    "model": "openai.gpt-oss-120b",
    "input": [
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
}'

takakuni@ short-term % curl -X POST $OPENAI_BASE_URL/responses \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $OPENAI_API_KEY" \
   -d '{
    "model": "openai.gpt-oss-120b",
    "input": [
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
}'
{"background":false,"created_at":1766909534.0,"error":null,"id":"resp_JXQHGDL3F37PJMKIZRMNRZK6GGOUMONYLMD36E5ENUQMFQNLB77Q","incomplete_details":null,"instructions":null,"metadata":{},"model":"openai.gpt-oss-120b","object":"response","output":[{"content":[{"text":"The user asks \"Hello! How can you help me today?\" This is a casual greeting and question. We should respond friendly, explain capabilities. Follow policies: don't mention policies. Provide a brief overview of what we can do: answering questions, summarizing, tutoring, creative writing, etc. Ask if they have a specific request.","type":"reasoning_text"}],"id":"msg_8015ade90331c021","status":"completed","summary":[],"type":"reasoning"},{"content":[{"annotations":[],"text":"Hey there! 👋 I’m here to help with a wide range of things, such as:\n\n- **Answering questions** – factual info, explanations, or advice on everyday topics.  \n- **Research & summarizing** – pulling together and condensing information from multiple sources.  \n- **Writing & editing** – essays, reports, emails, stories, poems, code snippets, you name it.  \n- **Learning & tutoring** – walking through concepts, solving problems, or providing study tips.  \n- **Creative brainstorming** – ideas for projects, recipes, travel plans, marketing copy, etc.  \n- **Technical support** – debugging code, explaining algorithms, helping with software tools.\n\nAnything specific on your mind today? Let me know how I can assist you!","type":"output_text"}],"id":"msg_b02edcdf73954830","role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":true,"service_tier":"default","status":"completed","temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled"}%

takakuni@ long-term % curl -X POST $OPENAI_BASE_URL/responses \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer $OPENAI_API_KEY" \
   -d '{
    "model": "openai.gpt-oss-120b",
    "input": [
        {"role": "user", "content": "Hello! How can you help me today?"}
    ]
}'
{"background":false,"created_at":1766909552.0,"error":null,"id":"resp_IYXJEOQGDA3TFZOYC6PXJY3HYZ4MGRTYPU5CRCJQXT35GIADROYA","incomplete_details":null,"instructions":null,"metadata":{},"model":"openai.gpt-oss-120b","object":"response","output":[{"content":[{"text":"User greeted and asked \"How can you help me today?\" We need to respond as AI assistant. It's general greeting and question. Should introduce capabilities and ask follow-up. Keep friendly tone.","type":"reasoning_text"}],"id":"msg_8f283b5d077e772f","status":"completed","summary":[],"type":"reasoning"},{"content":[{"annotations":[],"text":"Hey there! 👋\n\nI’m here to help with a wide range of things, including:\n\n- **Answering questions** – facts, explanations, how‑tos, or deep‑dive research on almost any topic.  \n- **Writing & editing** – essays, reports, blog posts, creative stories, emails, cover letters, social‑media copy, scripts, poetry, you name it.  \n- **Learning & tutoring** – break down complex concepts, walk through problems step‑by‑step, generate practice questions, or create study guides.  \n- **Planning & organizing** – itineraries, project outlines, to‑do lists, meal plans, budgeting spreadsheets, event schedules, etc.  \n- **Technical assistance** – code snippets, debugging help, algorithm explanations, data‑analysis ideas, workflow automation, and more.  \n- **Creative brainstorming** – product names, marketing slogans, game mechanics, plot twists, character backstories, design concepts.  \n- **Personal guidance** – productivity tips, habit‑building strategies, career advice, interview prep, communication skills, etc.  \n\nIf you have something specific in mind—or just want to explore ideas—let me know and we’ll dive in together! 🚀","type":"output_text"}],"id":"msg_a24ec82c3c372942","role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":true,"service_tier":"default","status":"completed","temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled"}%

awscurl --service bedrock-mantle \
	--region us-west-2 \
	-X POST \
	-H "Content-Type: application/json" \
	-d '{
		"model": "openai.gpt-oss-120b",
		"input": [
			{
				"role": "user",
				"content": "Hello! How can you help me today?"
			}
		]
	}' \
	"https://bedrock-mantle.us-west-2.api.aws/v1/responses"

takakuni@ iam % awscurl --service bedrock-mantle \
        --region us-west-2 \
        -X POST \
        -H "Content-Type: application/json" \
        -d '{
          "model": "openai.gpt-oss-120b",
          "input": [
            {
              "role": "user",
              "content": "Hello! How can you help me today?"
            }
          ]
        }' \
        "https://bedrock-mantle.us-west-2.api.aws/v1/responses"
{"background":false,"created_at":1766909761.0,"error":null,"id":"resp_7IKB4GCGBKJGINLHOLPIP2M2IL2IQYMRP2SMIN6K5PMCVDS37UTQ","incomplete_details":null,"instructions":null,"metadata":{},"model":"openai.gpt-oss-120b","object":"response","output":[{"content":[{"text":"The user says \"Hello! How can you help me today?\" It's a general greeting. We need to respond with a friendly greeting and explain capabilities. Use the style guidelines. Probably ask how can assist. Provide short overview.","type":"reasoning_text"}],"id":"msg_aa80debcdef3f7c3","status":"completed","summary":[],"type":"reasoning"},{"content":[{"annotations":[],"text":"Hi there! 👋  \n\nI’m here to help with a wide range of tasks, such as:\n\n* **Answering questions** – facts, explanations, troubleshooting, or quick look‑ups.  \n* **Writing & editing** – drafts, emails, essays, reports, creative pieces, or polishing existing text.  \n* **Learning & tutoring** – breaking down concepts, generating practice problems, or guiding you through step‑by‑step solutions.  \n* **Planning & organization** – to‑do lists, schedules, project outlines, travel itineraries, recipes, etc.  \n* **Coding assistance** – explaining code, debugging, writing snippets, or teaching programming concepts.  \n* **Fun & brainstorming** – ideas for stories, games, gifts, hobbies, or just a friendly chat.\n\nWhat would you like to work on or discuss today?","type":"output_text"}],"id":"msg_8c819d9e7b34b057","role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":true,"service_tier":"default","status":"completed","temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled"}