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fireworks.ts
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fireworks.ts
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import type { BaseChatModelParams } from "@langchain/core/language_models/chat_models";
import {
type OpenAIClient,
type ChatOpenAICallOptions,
type OpenAIChatInput,
type OpenAICoreRequestOptions,
ChatOpenAI,
} from "@langchain/openai";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
type FireworksUnsupportedArgs =
| "frequencyPenalty"
| "presencePenalty"
| "logitBias"
| "functions";
type FireworksUnsupportedCallOptions = "functions" | "function_call";
export type ChatFireworksCallOptions = Partial<
Omit<ChatOpenAICallOptions, FireworksUnsupportedCallOptions>
>;
/**
* 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
* ```typescript
* const model = new ChatFireworks({
* temperature: 0.9,
* apiKey: "YOUR-API-KEY",
* });
*
* const response = await model.invoke("Hello, how are you?");
* console.log(response);
* ```
*/
export class ChatFireworks extends ChatOpenAI<ChatFireworksCallOptions> {
static lc_name() {
return "ChatFireworks";
}
_llmType() {
return "fireworks";
}
get lc_secrets(): { [key: string]: string } | undefined {
return {
fireworksApiKey: "FIREWORKS_API_KEY",
apiKey: "FIREWORKS_API_KEY",
};
}
lc_serializable = true;
fireworksApiKey?: string;
apiKey?: string;
constructor(
fields?: Partial<
Omit<OpenAIChatInput, "openAIApiKey" | FireworksUnsupportedArgs>
> &
BaseChatModelParams & {
/**
* Prefer `apiKey`
*/
fireworksApiKey?: string;
/**
* The Fireworks API key to use.
*/
apiKey?: string;
}
) {
const fireworksApiKey =
fields?.apiKey ||
fields?.fireworksApiKey ||
getEnvironmentVariable("FIREWORKS_API_KEY");
if (!fireworksApiKey) {
throw new Error(
`Fireworks API key not found. Please set the FIREWORKS_API_KEY environment variable or provide the key into "fireworksApiKey"`
);
}
super({
...fields,
model: fields?.model || "accounts/fireworks/models/llama-v2-13b-chat",
apiKey: fireworksApiKey,
configuration: {
baseURL: "https://api.fireworks.ai/inference/v1",
},
});
this.fireworksApiKey = fireworksApiKey;
this.apiKey = fireworksApiKey;
}
toJSON() {
const result = super.toJSON();
if (
"kwargs" in result &&
typeof result.kwargs === "object" &&
result.kwargs != null
) {
delete result.kwargs.openai_api_key;
delete result.kwargs.configuration;
}
return result;
}
async completionWithRetry(
request: OpenAIClient.Chat.ChatCompletionCreateParamsStreaming,
options?: OpenAICoreRequestOptions
): Promise<AsyncIterable<OpenAIClient.Chat.Completions.ChatCompletionChunk>>;
async completionWithRetry(
request: OpenAIClient.Chat.ChatCompletionCreateParamsNonStreaming,
options?: OpenAICoreRequestOptions
): Promise<OpenAIClient.Chat.Completions.ChatCompletion>;
/**
* Calls the Fireworks API with retry logic in case of failures.
* @param request The request to send to the Fireworks API.
* @param options Optional configuration for the API call.
* @returns The response from the Fireworks API.
*/
async completionWithRetry(
request:
| OpenAIClient.Chat.ChatCompletionCreateParamsStreaming
| OpenAIClient.Chat.ChatCompletionCreateParamsNonStreaming,
options?: OpenAICoreRequestOptions
): Promise<
| AsyncIterable<OpenAIClient.Chat.Completions.ChatCompletionChunk>
| OpenAIClient.Chat.Completions.ChatCompletion
> {
delete request.frequency_penalty;
delete request.presence_penalty;
delete request.logit_bias;
delete request.functions;
if (request.stream === true) {
return super.completionWithRetry(request, options);
}
return super.completionWithRetry(request, options);
}
}