Hello everyone. Im trying to load others trained nlu models during conversations, i have found the API page that provide the “model” endpoint with PUT method. [image] Rasa & Rasa Pro Documentation But i found your error tracking quite hard to understand. Application side i perform curl command: curl -X PUT http://localhost:5005/model -H 'Content-type: application/json' -d '{"model_file":"/models/prestataire.tar.gz","model_server":{"url":"string","params":{ },"headers":{ },"basic_auth":{ },"token":"string","token_name":"string","wait_time_between_pulls":0},"remote_storage":"None"}' response is: {"version":"1.3.8","status":"failure","message":"An unexpected error occurred. Error: string","reason":"LoadingError","details":{},"help":null,"code":500} Ok error 500. no probleme. But Rasa side i have this: rasa_1 | 2019-10-16 14:55:23 ERROR rasa.core.agent - Could not load model due to string. This is this line i fully not understand. can you tell me what is wrong. Model folder: $ pwd <....>/dockerrasa/models $ ls default.tar.gz prestataire.tar.gz The cause of this error is “remove_storage” field is an enum and None isn’t in. but i don’t want to use remote storage or model server. So i perform this line: curl -X PUT http://localhost:5005/model -H 'Content-type: application/json' -d '{"model_file":"/models/prestataire.tar.gz"}' Response is: {"version":"1.3.8","status":"failure","message":"Agent with name '\/models\/prestataire.tar.gz' could not be loaded.","reason":"BadRequest","details":{"parameter":"model","in":"query"},"help":null,"code":400} Edit: i use docker compose Both models are trainned using docker command: docker run -v $(pwd):/app rasa/rasa:latest-full train --domain domain.yml --data data --out models --config config.yml --fixed-model-name default docker run -v $(pwd):/app rasa/rasa:latest-full train --domain domain.yml --data data_prestataire --out models --config config.yml --fixed-model-name prestataire $ ls data_prestataire nlu.md

Try out curl -X PUT http://localhost:5005/model -H ‘Content-type: application/json’ -d ‘{“model_file”:“/app/models/prestataire.tar.gz”,}’ You need to provide the absolute path of the model.

same question, did you found any answer for this?

please, give me a guide about the absolute path of the model. I used path “D:/ChatbotCode/ProjectChatBot/CreateChatBot/models/20230629-094247-excited-message.tar.gz”. But Server still response the message which is "“Agent with name ‘D:/ChatbotCode/ProjectChatBot/CreateChatBot/models/20230629-094247-excited-message.tar.gz’ could not be loaded.”. Please Help me. Thanks a lot

Rasa API replace curently loaded model

Rasa Open Source

sadque (Sadique) May 22, 2020, 8:43am 3

Any idea how to use it with “remote_storage”:“aws”?

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Rasa API replace curently loaded model

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