File size: 13,555 Bytes
f0743f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
const axios = require('axios');
const { v4 } = require('uuid');
const OpenAI = require('openai');
const FormData = require('form-data');
const { ProxyAgent } = require('undici');
const { tool } = require('@langchain/core/tools');
const { logger } = require('@librechat/data-schemas');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { logAxiosError, oaiToolkit } = require('@librechat/api');
const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const extractBaseURL = require('~/utils/extractBaseURL');
const { getFiles } = require('~/models/File');

const displayMessage =
  "The tool displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";

/**
 * Replaces unwanted characters from the input string
 * @param {string} inputString - The input string to process
 * @returns {string} - The processed string
 */
function replaceUnwantedChars(inputString) {
  return inputString
    .replace(/\r\n|\r|\n/g, ' ')
    .replace(/"/g, '')
    .trim();
}

function returnValue(value) {
  if (typeof value === 'string') {
    return [value, {}];
  } else if (typeof value === 'object') {
    if (Array.isArray(value)) {
      return value;
    }
    return [displayMessage, value];
  }
  return value;
}

function createAbortHandler() {
  return function () {
    logger.debug('[ImageGenOAI] Image generation aborted');
  };
}

/**
 * Creates OpenAI Image tools (generation and editing)
 * @param {Object} fields - Configuration fields
 * @param {ServerRequest} fields.req - Whether the tool is being used in an agent context
 * @param {boolean} fields.isAgent - Whether the tool is being used in an agent context
 * @param {string} fields.IMAGE_GEN_OAI_API_KEY - The OpenAI API key
 * @param {boolean} [fields.override] - Whether to override the API key check, necessary for app initialization
 * @param {MongoFile[]} [fields.imageFiles] - The images to be used for editing
 * @param {string} [fields.imageOutputType] - The image output type configuration
 * @param {string} [fields.fileStrategy] - The file storage strategy
 * @returns {Array<ReturnType<tool>>} - Array of image tools
 */
function createOpenAIImageTools(fields = {}) {
  /** @type {boolean} Used to initialize the Tool without necessary variables. */
  const override = fields.override ?? false;
  /** @type {boolean} */
  if (!override && !fields.isAgent) {
    throw new Error('This tool is only available for agents.');
  }
  const { req } = fields;
  const imageOutputType = fields.imageOutputType || EImageOutputType.PNG;
  const appFileStrategy = fields.fileStrategy;

  const getApiKey = () => {
    const apiKey = process.env.IMAGE_GEN_OAI_API_KEY ?? '';
    if (!apiKey && !override) {
      throw new Error('Missing IMAGE_GEN_OAI_API_KEY environment variable.');
    }
    return apiKey;
  };

  let apiKey = fields.IMAGE_GEN_OAI_API_KEY ?? getApiKey();
  const closureConfig = { apiKey };

  let baseURL = 'https://api.openai.com/v1/';
  if (!override && process.env.IMAGE_GEN_OAI_BASEURL) {
    baseURL = extractBaseURL(process.env.IMAGE_GEN_OAI_BASEURL);
    closureConfig.baseURL = baseURL;
  }

  // Note: Azure may not yet support the latest image generation models
  if (
    !override &&
    process.env.IMAGE_GEN_OAI_AZURE_API_VERSION &&
    process.env.IMAGE_GEN_OAI_BASEURL
  ) {
    baseURL = process.env.IMAGE_GEN_OAI_BASEURL;
    closureConfig.baseURL = baseURL;
    closureConfig.defaultQuery = { 'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION };
    closureConfig.defaultHeaders = {
      'api-key': process.env.IMAGE_GEN_OAI_API_KEY,
      'Content-Type': 'application/json',
    };
    closureConfig.apiKey = process.env.IMAGE_GEN_OAI_API_KEY;
  }

  const imageFiles = fields.imageFiles ?? [];

  /**
   * Image Generation Tool
   */
  const imageGenTool = tool(
    async (
      {
        prompt,
        background = 'auto',
        n = 1,
        output_compression = 100,
        quality = 'auto',
        size = 'auto',
      },
      runnableConfig,
    ) => {
      if (!prompt) {
        throw new Error('Missing required field: prompt');
      }
      const clientConfig = { ...closureConfig };
      if (process.env.PROXY) {
        const proxyAgent = new ProxyAgent(process.env.PROXY);
        clientConfig.fetchOptions = {
          dispatcher: proxyAgent,
        };
      }

      /** @type {OpenAI} */
      const openai = new OpenAI(clientConfig);
      let output_format = imageOutputType;
      if (
        background === 'transparent' &&
        output_format !== EImageOutputType.PNG &&
        output_format !== EImageOutputType.WEBP
      ) {
        logger.warn(
          '[ImageGenOAI] Transparent background requires PNG or WebP format, defaulting to PNG',
        );
        output_format = EImageOutputType.PNG;
      }

      let resp;
      /** @type {AbortSignal} */
      let derivedSignal = null;
      /** @type {() => void} */
      let abortHandler = null;

      try {
        if (runnableConfig?.signal) {
          derivedSignal = AbortSignal.any([runnableConfig.signal]);
          abortHandler = createAbortHandler();
          derivedSignal.addEventListener('abort', abortHandler, { once: true });
        }

        resp = await openai.images.generate(
          {
            model: 'gpt-image-1',
            prompt: replaceUnwantedChars(prompt),
            n: Math.min(Math.max(1, n), 10),
            background,
            output_format,
            output_compression:
              output_format === EImageOutputType.WEBP || output_format === EImageOutputType.JPEG
                ? output_compression
                : undefined,
            quality,
            size,
          },
          {
            signal: derivedSignal,
          },
        );
      } catch (error) {
        const message = '[image_gen_oai] Problem generating the image:';
        logAxiosError({ error, message });
        return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
Error Message: ${error.message}`);
      } finally {
        if (abortHandler && derivedSignal) {
          derivedSignal.removeEventListener('abort', abortHandler);
        }
      }

      if (!resp) {
        return returnValue(
          'Something went wrong when trying to generate the image. The OpenAI API may be unavailable',
        );
      }

      // For gpt-image-1, the response contains base64-encoded images
      // TODO: handle cost in `resp.usage`
      const base64Image = resp.data[0].b64_json;

      if (!base64Image) {
        return returnValue(
          'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
        );
      }

      const content = [
        {
          type: ContentTypes.IMAGE_URL,
          image_url: {
            url: `data:image/${output_format};base64,${base64Image}`,
          },
        },
      ];

      const file_ids = [v4()];
      const response = [
        {
          type: ContentTypes.TEXT,
          text: displayMessage + `\n\ngenerated_image_id: "${file_ids[0]}"`,
        },
      ];
      return [response, { content, file_ids }];
    },
    oaiToolkit.image_gen_oai,
  );

  /**
   * Image Editing Tool
   */
  const imageEditTool = tool(
    async ({ prompt, image_ids, quality = 'auto', size = 'auto' }, runnableConfig) => {
      if (!prompt) {
        throw new Error('Missing required field: prompt');
      }

      const clientConfig = { ...closureConfig };
      if (process.env.PROXY) {
        const proxyAgent = new ProxyAgent(process.env.PROXY);
        clientConfig.fetchOptions = {
          dispatcher: proxyAgent,
        };
      }

      const formData = new FormData();
      formData.append('model', 'gpt-image-1');
      formData.append('prompt', replaceUnwantedChars(prompt));
      // TODO: `mask` support
      // TODO: more than 1 image support
      // formData.append('n', n.toString());
      formData.append('quality', quality);
      formData.append('size', size);

      /** @type {Record<FileSources, undefined | NodeStreamDownloader<File>>} */
      const streamMethods = {};

      const requestFilesMap = Object.fromEntries(imageFiles.map((f) => [f.file_id, { ...f }]));

      const orderedFiles = new Array(image_ids.length);
      const idsToFetch = [];
      const indexOfMissing = Object.create(null);

      for (let i = 0; i < image_ids.length; i++) {
        const id = image_ids[i];
        const file = requestFilesMap[id];

        if (file) {
          orderedFiles[i] = file;
        } else {
          idsToFetch.push(id);
          indexOfMissing[id] = i;
        }
      }

      if (idsToFetch.length) {
        const fetchedFiles = await getFiles(
          {
            user: req.user.id,
            file_id: { $in: idsToFetch },
            height: { $exists: true },
            width: { $exists: true },
          },
          {},
          {},
        );

        for (const file of fetchedFiles) {
          requestFilesMap[file.file_id] = file;
          orderedFiles[indexOfMissing[file.file_id]] = file;
        }
      }
      for (const imageFile of orderedFiles) {
        if (!imageFile) {
          continue;
        }
        /** @type {NodeStream<File>} */
        let stream;
        /** @type {NodeStreamDownloader<File>} */
        let getDownloadStream;
        const source = imageFile.source || appFileStrategy;
        if (!source) {
          throw new Error('No source found for image file');
        }
        if (streamMethods[source]) {
          getDownloadStream = streamMethods[source];
        } else {
          ({ getDownloadStream } = getStrategyFunctions(source));
          streamMethods[source] = getDownloadStream;
        }
        if (!getDownloadStream) {
          throw new Error(`No download stream method found for source: ${source}`);
        }
        stream = await getDownloadStream(req, imageFile.filepath);
        if (!stream) {
          throw new Error('Failed to get download stream for image file');
        }
        formData.append('image[]', stream, {
          filename: imageFile.filename,
          contentType: imageFile.type,
        });
      }

      /** @type {import('axios').RawAxiosHeaders} */
      let headers = {
        ...formData.getHeaders(),
      };

      if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
        headers['api-key'] = apiKey;
      } else {
        headers['Authorization'] = `Bearer ${apiKey}`;
      }

      /** @type {AbortSignal} */
      let derivedSignal = null;
      /** @type {() => void} */
      let abortHandler = null;

      try {
        if (runnableConfig?.signal) {
          derivedSignal = AbortSignal.any([runnableConfig.signal]);
          abortHandler = createAbortHandler();
          derivedSignal.addEventListener('abort', abortHandler, { once: true });
        }

        /** @type {import('axios').AxiosRequestConfig} */
        const axiosConfig = {
          headers,
          ...clientConfig,
          signal: derivedSignal,
          baseURL,
        };

        if (process.env.PROXY) {
          axiosConfig.httpsAgent = new HttpsProxyAgent(process.env.PROXY);
        }

        if (process.env.IMAGE_GEN_OAI_AZURE_API_VERSION && process.env.IMAGE_GEN_OAI_BASEURL) {
          axiosConfig.params = {
            'api-version': process.env.IMAGE_GEN_OAI_AZURE_API_VERSION,
            ...axiosConfig.params,
          };
        }
        const response = await axios.post('/images/edits', formData, axiosConfig);

        if (!response.data || !response.data.data || !response.data.data.length) {
          return returnValue(
            'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
          );
        }

        const base64Image = response.data.data[0].b64_json;
        if (!base64Image) {
          return returnValue(
            'No image data returned from OpenAI API. There may be a problem with the API or your configuration.',
          );
        }

        const content = [
          {
            type: ContentTypes.IMAGE_URL,
            image_url: {
              url: `data:image/${imageOutputType};base64,${base64Image}`,
            },
          },
        ];

        const file_ids = [v4()];
        const textResponse = [
          {
            type: ContentTypes.TEXT,
            text:
              displayMessage +
              `\n\ngenerated_image_id: "${file_ids[0]}"\nreferenced_image_ids: ["${image_ids.join('", "')}"]`,
          },
        ];
        return [textResponse, { content, file_ids }];
      } catch (error) {
        const message = '[image_edit_oai] Problem editing the image:';
        logAxiosError({ error, message });
        return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
Error Message: ${error.message || 'Unknown error'}`);
      } finally {
        if (abortHandler && derivedSignal) {
          derivedSignal.removeEventListener('abort', abortHandler);
        }
      }
    },
    oaiToolkit.image_edit_oai,
  );

  return [imageGenTool, imageEditTool];
}

module.exports = createOpenAIImageTools;