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@ -4,7 +4,6 @@
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| Version | Supported |
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| ------- | ------------------ |
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| 0.5.x | :heavy_check_mark: |
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| 0.4.x | :heavy_check_mark: |
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| 0.3.x | :heavy_check_mark: |
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| 0.2.x | :heavy_check_mark: |
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@ -1,4 +1,4 @@
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base_url = "https://api.openai.com/v1/"
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secret_key = "YOUR-OPENAI-SECRET-KEY-HERE"
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vector_store = ["YOUR-VECTOR-STORE-IDs-HERE","SEPARATED-BY-COMMAS"]
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vector_store = "YOUR-VECTOR-STORE-ID-HERE"
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@ -10,7 +10,7 @@ def create_model_response(conversation,model,message):
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"model": model,
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"tools": [
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{"type": "web_search"},
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{"type": "file_search", "vector_store_ids" :vector_store}
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{"type": "file_search", "vector_store_ids" :[vector_store]}
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],
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"input": message,
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"conversation": conversation
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@ -23,7 +23,5 @@ def create_model_response(conversation,model,message):
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.text)
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print(response.json()["output"][-1]["content"][0]["text"])
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if __name__ == '__main__':
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create_model_response(str(sys.argv[1]),str(sys.argv[2]),str(sys.argv[3]))
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@ -13,7 +13,6 @@ def retrieve_item(conversation,message):
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response = requests.request("GET", url, headers=headers, data=payload)
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print(response.text)
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print(response.json()["content"][0]["text"])
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if __name__ == '__main__':
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@ -13,7 +13,6 @@ def retrieve_model_response(response):
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response = requests.request("GET", url, headers=headers, data=payload)
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print(response.text)
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print(response.json()["output"][-1]["content"][0]["text"])
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if __name__ == '__main__':
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retrieve_model_response(str(sys.argv[1]))
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