Wrapper around Fireworks API for large language models fine-tuned for chat

Fireworks API is compatible to the OpenAI API with some limitations described in https://readme.fireworks.ai/docs/openai-compatibility.

To use, you should have the openai package installed and the FIREWORKS_API_KEY environment variable set.

Example

const model = new ChatFireworks({
temperature: 0.9,
fireworksApiKey: "YOUR-API-KEY",
});

const response = await model.invoke("Hello, how are you?");
console.log(response);

Hierarchy

Constructors

Properties

CallOptions: Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>
ParsedCallOptions: Omit<Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>, never>
caller: AsyncCaller

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

frequencyPenalty: number

Penalizes repeated tokens according to frequency

modelName: string

Model name to use

n: number

Number of completions to generate for each prompt

presencePenalty: number

Penalizes repeated tokens

streaming: boolean

Whether to stream the results or not. Enabling disables tokenUsage reporting

temperature: number

Sampling temperature to use

topP: number

Total probability mass of tokens to consider at each step

verbose: boolean

Whether to print out response text.

azureOpenAIApiDeploymentName?: string

Azure OpenAI API deployment name to use for completions when making requests to Azure OpenAI. This is the name of the deployment you created in the Azure portal. e.g. "my-openai-deployment" this will be used in the endpoint URL: https://{InstanceName}.openai.azure.com/openai/deployments/my-openai-deployment/

azureOpenAIApiInstanceName?: string

Azure OpenAI API instance name to use when making requests to Azure OpenAI. this is the name of the instance you created in the Azure portal. e.g. "my-openai-instance" this will be used in the endpoint URL: https://my-openai-instance.openai.azure.com/openai/deployments/{DeploymentName}/

azureOpenAIApiKey?: string

API key to use when making requests to Azure OpenAI.

azureOpenAIApiVersion?: string

API version to use when making requests to Azure OpenAI.

azureOpenAIBasePath?: string

Custom endpoint for Azure OpenAI API. This is useful in case you have a deployment in another region. e.g. setting this value to "https://westeurope.api.cognitive.microsoft.com/openai/deployments" will be result in the endpoint URL: https://westeurope.api.cognitive.microsoft.com/openai/deployments/{DeploymentName}/

callbacks?: Callbacks
fireworksApiKey?: string
logitBias?: Record<string, number>

Dictionary used to adjust the probability of specific tokens being generated

maxTokens?: number

Maximum number of tokens to generate in the completion. -1 returns as many tokens as possible given the prompt and the model's maximum context size.

metadata?: Record<string, unknown>
modelKwargs?: Record<string, any>

Holds any additional parameters that are valid to pass to openai.createCompletion that are not explicitly specified on this class.

openAIApiKey?: string

API key to use when making requests to OpenAI. Defaults to the value of OPENAI_API_KEY environment variable.

organization?: string
stop?: string[]

List of stop words to use when generating

tags?: string[]
timeout?: number

Timeout to use when making requests to OpenAI.

user?: string

Unique string identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Accessors

  • get callKeys(): string[]
  • Keys that the language model accepts as call options.

    Returns string[]

Methods

  • Makes a single call to the chat model.

    Parameters

    • messages: BaseMessageLike[]

      An array of BaseMessage instances.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Makes a single call to the chat model with a prompt value.

    Parameters

    • promptValue: BasePromptValue

      The value of the prompt.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Calls the Fireworks API with retry logic in case of failures.

    Parameters

    • request: ChatCompletionCreateParamsStreaming

      The request to send to the Fireworks API.

    • Optional options: OpenAICoreRequestOptions

      Optional configuration for the API call.

    Returns Promise<AsyncIterable<ChatCompletionChunk>>

    The response from the Fireworks API.

  • Calls the Fireworks API with retry logic in case of failures.

    Parameters

    • request: ChatCompletionCreateParamsNonStreaming

      The request to send to the Fireworks API.

    • Optional options: OpenAICoreRequestOptions

      Optional configuration for the API call.

    Returns Promise<ChatCompletion>

    The response from the Fireworks API.

  • Generates chat based on the input messages.

    Parameters

    • messages: BaseMessageLike[][]

      An array of arrays of BaseMessage instances.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<LLMResult>

    A Promise that resolves to an LLMResult.

  • Generates a prompt based on the input prompt values.

    Parameters

    • promptValues: BasePromptValue[]

      An array of BasePromptValue instances.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<LLMResult>

    A Promise that resolves to an LLMResult.

  • Parameters

    Returns Promise<number>

  • Parameters

    Returns Promise<{
        countPerMessage: number[];
        totalCount: number;
    }>

  • Get the identifying parameters for the model

    Returns Omit<ChatCompletionCreateParams, "messages"> & {
        model_name: string;
    } & ClientOptions

  • Get the parameters used to invoke the model

    Parameters

    Returns Omit<ChatCompletionCreateParams, "messages">

  • Invokes the chat model with a single input.

    Parameters

    Returns Promise<BaseMessageChunk>

    A Promise that resolves to a BaseMessageChunk.

  • Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.

    Type Parameters

    • NewRunOutput

    Parameters

    Returns RunnableSequence<BaseLanguageModelInput, Exclude<NewRunOutput, Error>>

    A new runnable sequence.

  • Predicts the next message based on a text input.

    Parameters

    • text: string

      The text input.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<string>

    A Promise that resolves to a string.

  • Predicts the next message based on the input messages.

    Parameters

    • messages: BaseMessage[]

      An array of BaseMessage instances.

    • Optional options: string[] | Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>

      The call options or an array of stop sequences.

    • Optional callbacks: Callbacks

      The callbacks for the language model.

    Returns Promise<BaseMessage>

    A Promise that resolves to a BaseMessage.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.

    Parameters

    Returns AsyncGenerator<BaseMessageChunk, any, unknown>

  • Bind lifecycle listeners to a Runnable, returning a new Runnable. The Run object contains information about the run, including its id, type, input, output, error, startTime, endTime, and any tags or metadata added to the run.

    Parameters

    • params: {
          onEnd?: ((run, config?) => void | Promise<void>);
          onError?: ((run, config?) => void | Promise<void>);
          onStart?: ((run, config?) => void | Promise<void>);
      }

      The object containing the callback functions.

      • Optional onEnd?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called after the runnable finishes running, with the Run object.

            Parameters

            Returns void | Promise<void>

      • Optional onError?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called if the runnable throws an error, with the Run object.

            Parameters

            Returns void | Promise<void>

      • Optional onStart?: ((run, config?) => void | Promise<void>)
          • (run, config?): void | Promise<void>
          • Called before the runnable starts running, with the Run object.

            Parameters

            Returns void | Promise<void>

    Returns Runnable<BaseLanguageModelInput, BaseMessageChunk, Partial<Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>>>

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