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LLM

Azure​

Azure Chat​

See AzureOpenAiChatCompletionsChainIT

AzureOpenAiChatCompletionsChain chain = new AzureOpenAiChatCompletionsChain(
    "my-azure-resource-name",
    "gpt-35-turbo", // deployment name
    "2023-05-15", // api version
    "Hello, this is ${name}", 
    new OpenAiChatCompletionsParameters().temperature(0D), // also allows to set more parameters
    System.getenv("OPENAI_API_KEY"),
    "You are a helpful assistant who answers questions to ${name}" // optional systemTemplate 
);

String result = chain.run(Collections.singletonMap("name", "Manuel")); 
// the above outputs something like: "Hello Manuel, how are you"

Azure Completions​

AzureOpenAiCompletionsChain chain = new AzureOpenAiCompletionsChain(
    "my-azure-resource-name",
    "text-davinci-003", // deployment name
    "2023-05-15", // api version
    "Hello, this is ${name}", 
    new OpenAiCompletionsParameters().temperature(0D), // also allows to set more parameters
    System.getenv("OPENAI_API_KEY"),
    "You are a helpful assistant who answers questions to ${name}" // optional systemTemplate 
);

String result = chain.run(Collections.singletonMap("name", "Manuel"));
// the above outputs something like: "Hello Manuel, how are you"

OpenAI​

OpenAI Chat​

See OpenAiChatCompletionsChainIT

OpenAiChatCompletionsChain chain = new OpenAiChatCompletionsChain(
    "Hello, this is ${name}", 
    new OpenAiChatCompletionsParameters().model("gpt-3.5-turbo").temperature(0D), // also allows to set more parameters
    System.getenv("OPENAI_API_KEY"),
    "You are a helpful assistant who answers questions to ${name}" // optional systemTemplate 
);

String result = chain.run(Collections.singletonMap("name", "Manuel"));
// the above outputs something like: "Hello Manuel, how are you"

OpenAI Completions​

OpenAiCompletionsChain chain = new OpenAiCompletionsChain(
    "Hello, this is ${name}", 
    new OpenAiCompletionsParameters().model("text-davinci-003").temperature(0D), // also allows to set more parameters
    System.getenv("OPENAI_API_KEY"),
    "You are a helpful assistant who answers questions to ${name}" // optional systemTemplate 
);

String result = chain.run(Collections.singletonMap("name", "Manuel"));
// the above outputs something like: "Hello Manuel, how are you"