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POST
By default we will use the opensource gpt4all model to get started. You can also specify your own config by uploading a config YAML file. For example, create a config.yaml file (adjust according to your requirements):
To learn more about custom configurations, check out the custom configurations docs. To explore more examples of config yamls for embedchain, visit embedchain/configs. Now, you can upload this config file in the request body. For example,
Request
Note: To use custom models, an API key might be required. Refer to the table below to determine the necessary API key for your provider. To add env variables, you can simply run the docker command with the -e flag. For example,

Query Parameters

app_id
string
required

Body

multipart/form-data
config
file

Response

Successful Response

response
string
required