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40 lines
1.8 KiB
Markdown
40 lines
1.8 KiB
Markdown
# AgentResponse
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**ip_addresses** | **List[str]** | Array of private IP addresses. | [optional] [readonly]
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**public_ip_addresses** | **List[str]** | Array of public IP addresses. | [optional] [readonly]
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**network** | **str** | Network (including ASN) of agent’s public IP. | [optional] [readonly]
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**agent_id** | **str** | Unique ID of the agent. | [optional] [readonly]
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**agent_name** | **str** | Name of the agent. | [optional]
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**location** | **str** | Location of the agent. | [optional] [readonly]
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**country_id** | **str** | 2-digit ISO country code | [optional] [readonly]
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**enabled** | **bool** | Flag indicating if the agent is enabled. | [optional]
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**prefix** | **str** | Prefix containing agents public IP address. | [optional] [readonly]
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**verify_ssl_certificates** | **bool** | Flag indicating if has normal SSL operations or if instead it's set to ignore SSL errors on browserbot-based tests. | [optional] [readonly]
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**agent_type** | [**CloudEnterpriseAgentType**](CloudEnterpriseAgentType.md) | |
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## Example
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```python
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from thousandeyes_sdk.instant_tests.models.agent_response import AgentResponse
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# TODO update the JSON string below
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json = "{}"
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# create an instance of AgentResponse from a JSON string
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agent_response_instance = AgentResponse.from_json(json)
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# print the JSON string representation of the object
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print(AgentResponse.to_json())
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# convert the object into a dict
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agent_response_dict = agent_response_instance.to_dict()
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# create an instance of AgentResponse from a dict
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agent_response_from_dict = AgentResponse.from_dict(agent_response_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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