Amazon-Seller-Partner authentication

This connector is optimized for AI agents. For the data replication connector, see Amazon Seller Partner.

This page documents the authentication and configuration options for the Amazon-Seller-Partner agent connector.

Authentication

Open source execution

In open source mode, you provide API credentials directly to the connector.

OAuth

credentials fields you need:

Field Name	Type	Required	Description
`lwa_app_id`	`str`	Yes	Your Login with Amazon Client ID.
`lwa_client_secret`	`str`	Yes	Your Login with Amazon Client Secret.
`refresh_token`	`str`	Yes	The Refresh Token obtained via the OAuth authorization flow.
`access_token`	`str`	No	Access token (optional if refresh_token is provided).

Example request:

from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_sdk.connectors.amazon_seller_partner.models import AmazonSellerPartnerAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AmazonSellerPartnerAuthConfig(
        lwa_app_id="<Your Login with Amazon Client ID.>",
        lwa_client_secret="<Your Login with Amazon Client Secret.>",
        refresh_token="<The Refresh Token obtained via the OAuth authorization flow.>",
        access_token="<Access token (optional if refresh_token is provided).>"
    )
)

Token

This authentication method isn't available for this connector.

Hosted execution

In hosted mode, you first create a connector via the Airbyte Agent API (providing your OAuth or Token credentials), then execute operations using either the Python SDK or API. If you need a step-by-step guide, see the developer quickstart.

OAuth

Create a connector with OAuth credentials.

credentials fields you need:

Field Name	Type	Required	Description
`lwa_app_id`	`str`	Yes	Your Login with Amazon Client ID.
`lwa_client_secret`	`str`	Yes	Your Login with Amazon Client Secret.
`refresh_token`	`str`	Yes	The Refresh Token obtained via the OAuth authorization flow.
`access_token`	`str`	No	Access token (optional if refresh_token is provided).

replication_config fields you need:

Field Name	Type	Required	Description
`replication_start_date`	`str (date-time)`	Yes	UTC date and time in ISO 8601 format (e.g. 2024-01-01T00:00:00Z). Any data before this date will not be replicated. This sets the earliest date for order creation and financial event queries. For most sellers, a start date of 1-2 years ago is a good default. Must include the time component and Z timezone suffix.

Example request:

curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors" \
  -H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "workspace_name": "<WORKSPACE_NAME>",
    "connector_type": "Amazon-Seller-Partner",
    "name": "My Amazon-Seller-Partner Connector",
    "credentials": {
      "lwa_app_id": "<Your Login with Amazon Client ID.>",
      "lwa_client_secret": "<Your Login with Amazon Client Secret.>",
      "refresh_token": "<The Refresh Token obtained via the OAuth authorization flow.>",
      "access_token": "<Access token (optional if refresh_token is provided).>"
    },
    "replication_config": {
      "replication_start_date": "<UTC date and time in ISO 8601 format (e.g. 2024-01-01T00:00:00Z). Any data before this date will not be replicated. This sets the earliest date for order creation and financial event queries. For most sellers, a start date of 1-2 years ago is a good default. Must include the time component and Z timezone suffix.>"
    }
  }'

Bring your own OAuth flow

To implement your own OAuth flow, use Airbyte's server-side OAuth API endpoints. For a complete guide, see Build your own OAuth flow.

Step 1: Initiate the OAuth flow

Request a consent URL for your user.

Field Name	Type	Required	Description
`workspace_name`	`string`	Yes	Your unique identifier for the workspace
`connector_type`	`string`	Yes	The connector type (e.g., "Amazon-Seller-Partner")
`redirect_url`	`string`	Yes	URL to redirect to after OAuth authorization

Example request:

curl -X POST "https://api.airbyte.ai/api/v1/integrations/connectors/oauth/initiate" \
  -H "Authorization: Bearer <YOUR_BEARER_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "workspace_name": "<WORKSPACE_NAME>",
    "connector_type": "Amazon-Seller-Partner",
    "redirect_url": "https://yourapp.com/oauth/callback"
  }'

Redirect your user to the consent_url from the response.

Step 2: Handle the callback

After the user authorizes access, Airbyte automatically creates the connector and redirects them to your redirect_url with a connector_id query parameter. You don't need to make a separate API call to create the connector.

https://yourapp.com/oauth/callback?connector_id=<connector_id>

Extract the connector_id from the callback URL and store it for future operations. For error handling and a complete implementation example, see Build your own OAuth flow.

Token

This authentication method isn't available for this connector.

Execution

After creating the connector, execute operations using either the Python SDK or API. If your Airbyte client can access multiple organizations, include organization_id in AirbyteAuthConfig and X-Organization-Id in raw API calls.

Python SDK

The connect() factory returns a fully typed AmazonSellerPartnerConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:

Pydantic AI
LangChain
OpenAI Agents
FastMCP

Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector

connector = connect("amazon-seller-partner", workspace_name="<your_workspace_name>")

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector

connector = connect("amazon-seller-partner", workspace_name="<your_workspace_name>")

@tool
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector

connector = connect("amazon-seller-partner", workspace_name="<your_workspace_name>")

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@AmazonSellerPartnerConnector.tool_utils(framework="openai_agents")
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Amazon-Seller-Partner Assistant", tools=[amazon_seller_partner_execute])

FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector

connector = connect("amazon-seller-partner", workspace_name="<your_workspace_name>")

mcp = FastMCP("Amazon-Seller-Partner Agent")

@mcp.tool
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Or pass credentials explicitly (equivalent, useful when you're not loading them from the environment): Pydantic AI

Pydantic AI
LangChain
OpenAI Agents
FastMCP

Pydantic AI
from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain
from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@tool
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents
from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@AmazonSellerPartnerConnector.tool_utils(framework="openai_agents")
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Amazon-Seller-Partner Assistant", tools=[amazon_seller_partner_execute])

FastMCP
from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.amazon_seller_partner import AmazonSellerPartnerConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = AmazonSellerPartnerConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

mcp = FastMCP("Amazon-Seller-Partner Agent")

@mcp.tool
@AmazonSellerPartnerConnector.tool_utils
async def amazon_seller_partner_execute(entity: str, action: str, params: dict | None = None):
    """Execute Amazon-Seller-Partner connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

API

curl -X POST 'https://api.airbyte.ai/api/v1/integrations/connectors/<connector_id>/execute' \
  -H 'Authorization: Bearer <YOUR_BEARER_TOKEN>' \
  -H 'X-Organization-Id: <YOUR_ORGANIZATION_ID>' \
  -H 'Content-Type: application/json' \
  -d '{"entity": "<entity>", "action": "<action>", "params": {}}'

Configuration

The Amazon-Seller-Partner connector requires the following configuration variables. These variables are used to construct the base API URL. Pass them via the config parameter when initializing the connector.

Variable	Type	Required	Default	Description
`region`	`string`	Yes	na	The seller's marketplace region. This determines both the API endpoint and the marketplace ID used for queries. Select the country code where you sell:
North America (NA endpoint): US (Amazon.com), CA (Amazon.ca), MX (Amazon.com.mx), BR (Amazon.com.br)
Europe (EU endpoint): DE (Amazon.de), FR (Amazon.fr), IT (Amazon.it), ES (Amazon.es), UK/GB (Amazon.co.uk), NL (Amazon.nl), SE (Amazon.se), PL (Amazon.pl), BE (Amazon.com.be), TR (Amazon.com.tr), EG (Amazon.eg), SA (Amazon.sa), AE (Amazon.ae), IN (Amazon.in), ZA (Amazon.co.za)
Far East (FE endpoint): JP (Amazon.co.jp), AU (Amazon.com.au), SG (Amazon.sg)
The region is automatically mapped to the correct API endpoint (na/eu/fe) and marketplace ID. You only need to specify your country code.

Authentication​

Open source execution​

OAuth​

Token​

Hosted execution​

OAuth​

Bring your own OAuth flow​

Step 1: Initiate the OAuth flow​

Step 2: Handle the callback​

Token​

Execution​

Configuration​

Authentication

Open source execution

OAuth

Token

Hosted execution

OAuth

Bring your own OAuth flow

Step 1: Initiate the OAuth flow

Step 2: Handle the callback

Token

Execution

Configuration