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chore: fix model URLs

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This commit is contained in:
Roque Caballero 2025-03-28 17:53:29 +01:00
parent 4ceec902a3
commit ae7ee1a75d
Signed by: roque.caballero
SSH key fingerprint: SHA256:+oco2mi9KAXp5fmBGQyUMk3bBo0scA4b8sL7Gf2pEwo
8 changed files with 11 additions and 11 deletions
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2
demo-01/src/main/resources/application.yaml
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@ -3,7 +3,7 @@ quarkus:
openai: openai:
#api-key: ${OPENAI_API_KEY} #api-key: ${OPENAI_API_KEY}
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
chat-model: chat-model:
#model-name: gpt-4o-mini #model-name: gpt-4o-mini
model-name: inference-llama33-70b model-name: inference-llama33-70b

2
demo-02/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b

2
demo-03/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b

2
demo-04/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b

2
demo-05/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b

4
demo-06/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
#https://docs.langchain4j.dev/tutorials/model-parameters/ #https://docs.langchain4j.dev/tutorials/model-parameters/
chat-model: chat-model:
@ -25,7 +25,7 @@ l4j:
custom-embedding-model: custom-embedding-model:
#This is 1024 dimension model. pgvector must be configured accordingly #This is 1024 dimension model. pgvector must be configured accordingly
model-name: inference-multilingual-e5l model-name: inference-multilingual-e5l
base-url: https://inference-multilingual-e5l-maas.apps.ai.kvant.cloud/v1 base-url: https://inference-multilingual-e5l-maas.apps.ai-2.kvant.cloud/v1
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
log-requests: false log-requests: false
log-responses: false log-responses: false

4
demo-07/src/main/resources/application.yaml
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@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b
@ -24,7 +24,7 @@ l4j:
custom-embedding-model: custom-embedding-model:
#This is 1024 dimension model. pgvector must be configured accordingly #This is 1024 dimension model. pgvector must be configured accordingly
model-name: inference-multilingual-e5l model-name: inference-multilingual-e5l
base-url: https://inference-multilingual-e5l-maas.apps.ai.kvant.cloud/v1 base-url: https://inference-multilingual-e5l-maas.apps.ai-2.kvant.cloud/v1
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
log-requests: false log-requests: false
log-responses: false log-responses: false

4
demo-08/src/main/resources/application.yaml
View file

@ -2,7 +2,7 @@ quarkus:
langchain4j: langchain4j:
openai: openai:
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
base-url: https://inference-llama33-70b-maas.apps.ai.kvant.cloud/v1/ base-url: https://inference-llama33-70b-maas.apps.ai-2.kvant.cloud/v1/
timeout: 60s timeout: 60s
chat-model: chat-model:
model-name: inference-llama33-70b model-name: inference-llama33-70b
@ -24,7 +24,7 @@ l4j:
custom-embedding-model: custom-embedding-model:
#This is 1024 dimension model. pgvector must be configured accordingly #This is 1024 dimension model. pgvector must be configured accordingly
model-name: inference-multilingual-e5l model-name: inference-multilingual-e5l
base-url: https://inference-multilingual-e5l-maas.apps.ai.kvant.cloud/v1 base-url: https://inference-multilingual-e5l-maas.apps.ai-2.kvant.cloud/v1
api-key: #PUT_YOUR_TOKEN_HERE api-key: #PUT_YOUR_TOKEN_HERE
log-requests: false log-requests: false
log-responses: false log-responses: false