upload_chat_assets

upload_chat_assets(chat_asset_creation_config)

Upload chat assets to a project, optionally using a pre-defined conversation file and by integrating with an LLM.

Parameters

• chat_asset_creation_config: ChatAssetCreationConfig Configuration object for uploading chat assets. Includes:

  • project_id: str

    • The unique identifier for the project.

  • number_of_assets: int

    • Number of assets to create if no conversation file is provided. Ignored if conversation_json field is supplied.

  • storage_id: Optional[str]

    • ID of the storage integration to upload assets to. If not provided, assets will be uploaded to iMerit's private S3 bucket.

  • bucket_name: Optional[str]

    • The name of the S3 bucket to use for upload.

  • llm_config: Optional[LLMConfig]

    • Contains an id field (string) identifying the LLM to use.

    • If not provided, the assets will be static.

  • conversation_json: Optional[str] Path to a JSON file containing pre-defined conversation data. If provided, the number of assets will be based on the JSON file's content. For the JSON format please see Importing Existing Conversations via JSON

  Returns

  • output: dict JSON response from the server. Includes either:

    • assetsCreated: str

      • number of assets created

    • or error: details if the request failed

The maximum chat asset upload limit is set to 10,000. Please ensure your uploads do not exceed this limit.

Examples

The upload configuration allows you to create chat assets in three different versions:

• Static chat assets (pre-defined conversation data)

• Dynamic chat assets (LLM integration + fresh conversation)

• Dynamic pre-defined chat assets (LLM integration + pre-defined conversation data)

In addition to these, including storage_id and bucket information always allows you to upload the assets to your own storage, indifferent to what other settings are.

Uploading static chat assets

from dotenv import load_dotenv
from imerit_ango.sdk import SDK
from imerit_ango.models.chat_asset_creation_config import ChatAssetCreationConfig

load_dotenv('variables.env')
api_key = os.getenv('API_KEY')

sdk = SDK(api_key)

# Uploading static chat assets
chat_asset_creation_config = ChatAssetCreationConfig(
    project_id="<YOUR_PROJECT_ID>",
    number_of_assets=<NUMBER_OF_ASSETS>,
    conversation_json="<PATH_TO_YOUR_CONVERSATION_JSON>"
)
sdk.upload_chat_assets(chat_asset_creation_config)

Uploading dynamic chat assets

from dotenv import load_dotenv
from imerit_ango.sdk import SDK
from imerit_ango.models.chat_asset_creation_config import ChatAssetCreationConfig, LLMConfig

load_dotenv('variables.env')
api_key = os.getenv('API_KEY')

sdk = SDK(api_key)

chat_asset_creation_config = ChatAssetCreationConfig(
    project_id="<YOUR_PROJECT_ID>",
    number_of_assets=<NUMBER_OF_ASSETS>,
    llm_config=LLMConfig(
        id="<YOUR_LLM_ID>"
    ),
)
sdk.upload_chat_assets(chat_asset_creation_config)

Uploading dynamic pre-defined chat assets

from dotenv import load_dotenv
from imerit_ango.sdk import SDK
from imerit_ango.models.chat_asset_creation_config import ChatAssetCreationConfig, LLMConfig

load_dotenv('variables.env')
api_key = os.getenv('API_KEY')

sdk = SDK(api_key)

chat_asset_creation_config = ChatAssetCreationConfig(
    project_id="<YOUR_PROJECT_ID>",
    conversation_json="<PATH_TO_YOUR_CONVERSATION_JSON_FILE>",
    llm_config=LLMConfig(
        id="<YOUR_LLM_ID>"
    ),
)
sdk.upload_chat_assets(chat_asset_creation_config)