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align=\"center\">         <img src=\"https://github.com/user-attachments/assets/71ed56c6-739a-49fb-8326-cca12dcc2bb2\" width=\"200\">    <p>Generative AI For Product Innovation!</p>    <a href=\"https://docs.fireworks.ai/api-reference/introduction\"><img src","maintainers":[{"name":"simplesagar","email":"sagar@speakeasyapi.dev"}],"readme":"<div align=\"center\">\n        <img src=\"https://github.com/user-attachments/assets/71ed56c6-739a-49fb-8326-cca12dcc2bb2\" width=\"200\">\n   <p>Generative AI For Product Innovation!</p>\n   <a href=\"https://docs.fireworks.ai/api-reference/introduction\"><img src=\"https://img.shields.io/static/v1?label=Docs&message=API Ref&color=000000&style=for-the-badge\" /></a>\n  <a href=\"https://opensource.org/licenses/MIT\"><img src=\"https://img.shields.io/badge/License-MIT-blue.svg?style=for-the-badge\" /></a>\n</div>\n\nThe FireworksAI Typescript library provides convenient access to the Fireworks REST API from any Typescript or Javascript application. The library includes type definitions for all request params and response fields, with http requests powered by [fetch](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n\n<!-- Start Summary [summary] -->\n## Summary\n\nFireworks REST API: REST API for performing inference on Fireworks large language models (LLMs).\n<!-- End Summary [summary] -->\n\n<!-- Start Table of Contents [toc] -->\n## Table of Contents\n<!-- $toc-max-depth=2 -->\n  * [SDK Installation](#sdk-installation)\n  * [Requirements](#requirements)\n  * [SDK Example Usage](#sdk-example-usage)\n  * [Available Resources and Operations](#available-resources-and-operations)\n  * [Standalone functions](#standalone-functions)\n  * [Server-sent event streaming](#server-sent-event-streaming)\n  * [File uploads](#file-uploads)\n  * [Retries](#retries)\n  * [Error Handling](#error-handling)\n  * [Server Selection](#server-selection)\n  * [Custom HTTP Client](#custom-http-client)\n  * [Authentication](#authentication)\n  * [Debugging](#debugging)\n* [Development](#development)\n  * [Maturity](#maturity)\n  * [Contributions](#contributions)\n\n<!-- End Table of Contents [toc] -->\n\n<!-- Start SDK Installation [installation] -->\n## SDK Installation\n\nThe SDK can be installed with either [npm](https://www.npmjs.com/), [pnpm](https://pnpm.io/), [bun](https://bun.sh/) or [yarn](https://classic.yarnpkg.com/en/) package managers.\n\n### NPM\n\n```bash\nnpm add @simplesagar/fireworksai\n```\n\n### PNPM\n\n```bash\npnpm add @simplesagar/fireworksai\n```\n\n### Bun\n\n```bash\nbun add @simplesagar/fireworksai\n```\n\n### Yarn\n\n```bash\nyarn add @simplesagar/fireworksai zod\n\n# Note that Yarn does not install peer dependencies automatically. You will need\n# to install zod as shown above.\n```\n<!-- End SDK Installation [installation] -->\n\n<!-- Start Requirements [requirements] -->\n## Requirements\n\nFor supported JavaScript runtimes, please consult [RUNTIMES.md](RUNTIMES.md).\n<!-- End Requirements [requirements] -->\n\n<!-- Start SDK Example Usage [usage] -->\n## SDK Example Usage\n\n### Example\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n<!-- End SDK Example Usage [usage] -->\n\n<!-- Start Available Resources and Operations [operations] -->\n## Available Resources and Operations\n\n<details open>\n<summary>Available methods</summary>\n\n### [audio](docs/sdks/audio/README.md)\n\n* [createTranscription](docs/sdks/audio/README.md#createtranscription) - Transcribe Audio to Text\n* [createTranslation](docs/sdks/audio/README.md#createtranslation) - Translate Audio to Text\n\n### [chat](docs/sdks/chat/README.md)\n\n\n#### [chat.completions](docs/sdks/fireworksaicompletions/README.md)\n\n* [create](docs/sdks/fireworksaicompletions/README.md#create) - Create Chat Completion\n\n### [completions](docs/sdks/completions/README.md)\n\n* [create](docs/sdks/completions/README.md#create) - Create Completion\n\n### [embeddings](docs/sdks/embeddings/README.md)\n\n* [create](docs/sdks/embeddings/README.md#create) - Create embeddings\n\n\n### [images](docs/sdks/images/README.md)\n\n* [generateFromPrompt](docs/sdks/images/README.md#generatefromprompt) - Generate a new image from a text prompt\n* [generateFromImage](docs/sdks/images/README.md#generatefromimage) - Generate a new image from an image\n* [cannyEdgeDetection](docs/sdks/images/README.md#cannyedgedetection) - Pre-process the image with canny edge detection\n* [generateFromControlNet](docs/sdks/images/README.md#generatefromcontrolnet) - Generate a new image using ControlNet with provided image as a guidance\n* [generateQRCode](docs/sdks/images/README.md#generateqrcode) - Generate a QR code\n\n</details>\n<!-- End Available Resources and Operations [operations] -->\n\n<!-- Start Standalone functions [standalone-funcs] -->\n## Standalone functions\n\nAll the methods listed above are available as standalone functions. These\nfunctions are ideal for use in applications running in the browser, serverless\nruntimes or other environments where application bundle size is a primary\nconcern. When using a bundler to build your application, all unused\nfunctionality will be either excluded from the final bundle or tree-shaken away.\n\nTo read more about standalone functions, check [FUNCTIONS.md](./FUNCTIONS.md).\n\n<details>\n\n<summary>Available standalone functions</summary>\n\n- [`audioCreateTranscription`](docs/sdks/audio/README.md#createtranscription) - Transcribe Audio to Text\n- [`audioCreateTranslation`](docs/sdks/audio/README.md#createtranslation) - Translate Audio to Text\n- [`chatCompletionsCreate`](docs/sdks/fireworksaicompletions/README.md#create) - Create Chat Completion\n- [`completionsCreate`](docs/sdks/completions/README.md#create) - Create Completion\n- [`embeddingsCreate`](docs/sdks/embeddings/README.md#create) - Create embeddings\n- [`imagesCannyEdgeDetection`](docs/sdks/images/README.md#cannyedgedetection) - Pre-process the image with canny edge detection\n- [`imagesGenerateFromControlNet`](docs/sdks/images/README.md#generatefromcontrolnet) - Generate a new image using ControlNet with provided image as a guidance\n- [`imagesGenerateFromImage`](docs/sdks/images/README.md#generatefromimage) - Generate a new image from an image\n- [`imagesGenerateFromPrompt`](docs/sdks/images/README.md#generatefromprompt) - Generate a new image from a text prompt\n- [`imagesGenerateQRCode`](docs/sdks/images/README.md#generateqrcode) - Generate a QR code\n\n</details>\n<!-- End Standalone functions [standalone-funcs] -->\n\n<!-- Start Server-sent event streaming [eventstream] -->\n## Server-sent event streaming\n\n[Server-sent events][mdn-sse] are used to stream content from certain\noperations. These operations will expose the stream as an async iterable that\ncan be consumed using a [`for await...of`][mdn-for-await-of] loop. The loop will\nterminate when the server no longer has any events to send and closes the\nunderlying connection.\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n\n[mdn-sse]: https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events\n[mdn-for-await-of]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of\n<!-- End Server-sent event streaming [eventstream] -->\n\n<!-- Start File uploads [file-upload] -->\n## File uploads\n\nCertain SDK methods accept files as part of a multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.\n\n> [!TIP]\n>\n> Depending on your JavaScript runtime, there are convenient utilities that return a handle to a file without reading the entire contents into memory:\n>\n> - **Node.js v20+:** Since v20, Node.js comes with a native `openAsBlob` function in [`node:fs`](https://nodejs.org/docs/latest-v20.x/api/fs.html#fsopenasblobpath-options).\n> - **Bun:** The native [`Bun.file`](https://bun.sh/docs/api/file-io#reading-files-bun-file) function produces a file handle that can be used for streaming file uploads.\n> - **Browsers:** All supported browsers return an instance to a [`File`](https://developer.mozilla.org/en-US/docs/Web/API/File) when reading the value from an `<input type=\"file\">` element.\n> - **Node.js v18:** A file stream can be created using the `fileFrom` helper from [`fetch-blob/from.js`](https://www.npmjs.com/package/fetch-blob).\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\nimport { openAsBlob } from \"node:fs\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.images.generateFromImage({\n    accountId: \"fireworks\",\n    modelId: \"stable-diffusion-xl-1024-v1-0\",\n    bodyImage2imageGen: {\n      initImage: await openAsBlob(\"example.file\"),\n      cfgScale: 7,\n      height: 1024,\n      imageStrength: 0.75,\n      initImageMode: \"IMAGE_STRENGTH\",\n      negativePrompt: \"cloudy day\",\n      prompt: \"A futuristic cityscape\",\n      safetyCheck: false,\n      sampler: \"K_EULER\",\n      samples: 1,\n      seed: 0,\n      stepScheduleEnd: 1,\n      stepScheduleStart: 0,\n      steps: 30,\n      width: 1024,\n    },\n  });\n\n  // Handle the result\n  console.log(result);\n}\n\nrun();\n\n```\n<!-- End File uploads [file-upload] -->\n\n<!-- Start Retries [retries] -->\n## Retries\n\nSome of the endpoints in this SDK support retries.  If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API.  However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.\n\nTo change the default retry strategy for a single API call, simply provide a retryConfig object to the call:\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  }, {\n    retries: {\n      strategy: \"backoff\",\n      backoff: {\n        initialInterval: 1,\n        maxInterval: 50,\n        exponent: 1.1,\n        maxElapsedTime: 100,\n      },\n      retryConnectionErrors: false,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n\nIf you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  retryConfig: {\n    strategy: \"backoff\",\n    backoff: {\n      initialInterval: 1,\n      maxInterval: 50,\n      exponent: 1.1,\n      maxElapsedTime: 100,\n    },\n    retryConnectionErrors: false,\n  },\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n<!-- End Retries [retries] -->\n\n<!-- Start Error Handling [errors] -->\n## Error Handling\n\nSome methods specify known errors which can be thrown. All the known errors are enumerated in the `models/errors.ts` module. The known errors for a method are documented under the *Errors* tables in SDK docs. For example, the `create` method may throw the following errors:\n\n| Error Type                 | Status Code | Content Type     |\n| -------------------------- | ----------- | ---------------- |\n| models.BadRequest          | 400         | application/json |\n| models.Unauthorized        | 401         | application/json |\n| models.Forbidden           | 403         | application/json |\n| models.NotFound            | 404         | application/json |\n| models.TooManyRequests     | 429         | application/json |\n| models.InternalServerError | 500         | application/json |\n| models.ServiceUnavailable  | 503         | application/json |\n| models.SDKError            | 4XX, 5XX    | \\*/\\*            |\n\nIf the method throws an error and it is not captured by the known errors, it will default to throwing a `SDKError`.\n\n```typescript\nimport {\n  BadRequest,\n  FireworksAI,\n  Forbidden,\n  InternalServerError,\n  NotFound,\n  ServiceUnavailable,\n  TooManyRequests,\n  Unauthorized,\n} from \"@simplesagar/fireworksai\";\nimport { SDKValidationError } from \"@simplesagar/fireworksai/models\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  let result;\n  try {\n    result = await fireworksAI.chat.completions.create({\n      model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n      messages: [\n        {\n          role: \"user\",\n          content:\n            \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n          name: \"user_1\",\n        },\n      ],\n      temperature: 1,\n      topP: 1,\n      topK: 50,\n      n: 1,\n      responseFormat: {\n        type: \"json_object\",\n      },\n      topLogprobs: 1,\n      logitBias: {\n        \"1\": 0,\n        \"2\": 0,\n        \"3\": 0,\n      },\n    });\n\n    for await (const event of result) {\n      // Handle the event\n      console.log(event);\n    }\n  } catch (err) {\n    switch (true) {\n      // The server response does not match the expected SDK schema\n      case (err instanceof SDKValidationError): {\n        // Pretty-print will provide a human-readable multi-line error message\n        console.error(err.pretty());\n        // Raw value may also be inspected\n        console.error(err.rawValue);\n        return;\n      }\n      case (err instanceof BadRequest): {\n        // Handle err.data$: BadRequestData\n        console.error(err);\n        return;\n      }\n      case (err instanceof Unauthorized): {\n        // Handle err.data$: UnauthorizedData\n        console.error(err);\n        return;\n      }\n      case (err instanceof Forbidden): {\n        // Handle err.data$: ForbiddenData\n        console.error(err);\n        return;\n      }\n      case (err instanceof NotFound): {\n        // Handle err.data$: NotFoundData\n        console.error(err);\n        return;\n      }\n      case (err instanceof TooManyRequests): {\n        // Handle err.data$: TooManyRequestsData\n        console.error(err);\n        return;\n      }\n      case (err instanceof InternalServerError): {\n        // Handle err.data$: InternalServerErrorData\n        console.error(err);\n        return;\n      }\n      case (err instanceof ServiceUnavailable): {\n        // Handle err.data$: ServiceUnavailableData\n        console.error(err);\n        return;\n      }\n      default: {\n        // Other errors such as network errors, see HTTPClientErrors for more details\n        throw err;\n      }\n    }\n  }\n}\n\nrun();\n\n```\n\nValidation errors can also occur when either method arguments or data returned from the server do not match the expected format. The `SDKValidationError` that is thrown as a result will capture the raw value that failed validation in an attribute called `rawValue`. Additionally, a `pretty()` method is available on this error that can be used to log a nicely formatted multi-line string since validation errors can list many issues and the plain error string may be difficult read when debugging.\n\nIn some rare cases, the SDK can fail to get a response from the server or even make the request due to unexpected circumstances such as network conditions. These types of errors are captured in the `models/httpclienterrors.ts` module:\n\n| HTTP Client Error                                    | Description                                          |\n| ---------------------------------------------------- | ---------------------------------------------------- |\n| RequestAbortedError                                  | HTTP request was aborted by the client               |\n| RequestTimeoutError                                  | HTTP request timed out due to an AbortSignal signal  |\n| ConnectionError                                      | HTTP client was unable to make a request to a server |\n| InvalidRequestError                                  | Any input used to create a request is invalid        |\n| UnexpectedClientError                                | Unrecognised or unexpected error                     |\n<!-- End Error Handling [errors] -->\n\n<!-- Start Server Selection [server] -->\n## Server Selection\n\n### Select Server by Name\n\nYou can override the default server globally by passing a server name to the `server: keyof typeof ServerList` optional parameter when initializing the SDK client instance. The selected server will then be used as the default on the operations that use it. This table lists the names associated with the available servers:\n\n| Name   | Server                                   |\n| ------ | ---------------------------------------- |\n| `prod` | `https://api.fireworks.ai/inference/v1/` |\n\n#### Example\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  server: \"prod\",\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n\n### Override Server URL Per-Client\n\nThe default server can also be overridden globally by passing a URL to the `serverURL: string` optional parameter when initializing the SDK client instance. For example:\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  serverURL: \"https://api.fireworks.ai/inference/v1/\",\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n<!-- End Server Selection [server] -->\n\n<!-- Start Custom HTTP Client [http-client] -->\n## Custom HTTP Client\n\nThe TypeScript SDK makes API calls using an `HTTPClient` that wraps the native\n[Fetch API](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API). This\nclient is a thin wrapper around `fetch` and provides the ability to attach hooks\naround the request lifecycle that can be used to modify the request or handle\nerrors and response.\n\nThe `HTTPClient` constructor takes an optional `fetcher` argument that can be\nused to integrate a third-party HTTP client or when writing tests to mock out\nthe HTTP client and feed in fixtures.\n\nThe following example shows how to use the `\"beforeRequest\"` hook to to add a\ncustom header and a timeout to requests and how to use the `\"requestError\"` hook\nto log errors:\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\nimport { HTTPClient } from \"@simplesagar/fireworksai/lib/http\";\n\nconst httpClient = new HTTPClient({\n  // fetcher takes a function that has the same signature as native `fetch`.\n  fetcher: (request) => {\n    return fetch(request);\n  }\n});\n\nhttpClient.addHook(\"beforeRequest\", (request) => {\n  const nextRequest = new Request(request, {\n    signal: request.signal || AbortSignal.timeout(5000)\n  });\n\n  nextRequest.headers.set(\"x-custom-header\", \"custom value\");\n\n  return nextRequest;\n});\n\nhttpClient.addHook(\"requestError\", (error, request) => {\n  console.group(\"Request Error\");\n  console.log(\"Reason:\", `${error}`);\n  console.log(\"Endpoint:\", `${request.method} ${request.url}`);\n  console.groupEnd();\n});\n\nconst sdk = new FireworksAI({ httpClient });\n```\n<!-- End Custom HTTP Client [http-client] -->\n\n<!-- Start Authentication [security] -->\n## Authentication\n\n### Per-Client Security Schemes\n\nThis SDK supports the following security scheme globally:\n\n| Name     | Type | Scheme      | Environment Variable |\n| -------- | ---- | ----------- | -------------------- |\n| `apiKey` | http | HTTP Bearer | `FIREWORKS_API_KEY`  |\n\nTo authenticate with the API the `apiKey` parameter must be set when initializing the SDK client instance. For example:\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst fireworksAI = new FireworksAI({\n  apiKey: process.env[\"FIREWORKS_API_KEY\"] ?? \"\",\n});\n\nasync function run() {\n  const result = await fireworksAI.chat.completions.create({\n    model: \"accounts/fireworks/models/llama-v3p1-405b-instruct\",\n    messages: [\n      {\n        role: \"user\",\n        content:\n          \"What is the best company in the SF Bay Area that starts with F and ends with ireworks AI\",\n        name: \"user_1\",\n      },\n    ],\n    temperature: 1,\n    topP: 1,\n    topK: 50,\n    n: 1,\n    responseFormat: {\n      type: \"json_object\",\n    },\n    topLogprobs: 1,\n    logitBias: {\n      \"1\": 0,\n      \"2\": 0,\n      \"3\": 0,\n    },\n  });\n\n  for await (const event of result) {\n    // Handle the event\n    console.log(event);\n  }\n}\n\nrun();\n\n```\n<!-- End Authentication [security] -->\n\n<!-- Start Debugging [debug] -->\n## Debugging\n\nYou can setup your SDK to emit debug logs for SDK requests and responses.\n\nYou can pass a logger that matches `console`'s interface as an SDK option.\n\n> [!WARNING]\n> Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.\n\n```typescript\nimport { FireworksAI } from \"@simplesagar/fireworksai\";\n\nconst sdk = new FireworksAI({ debugLogger: console });\n```\n\nYou can also enable a default debug logger by setting an environment variable `FIREWORKS_DEBUG` to true.\n<!-- End Debugging [debug] -->\n\n<!-- Placeholder for Future Speakeasy SDK Sections -->\n\n# Development\n\n## Maturity\n\nThis SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage\nto a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally\nlooking for the latest version.\n\n## Contributions\n\nWhile we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. \nWe look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release. \n\n### SDK Created by [Speakeasy](https://www.speakeasy.com/?utm_source=@simplesagar/fireworksai&utm_campaign=typescript)\n","readmeFilename":"README.md"}