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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { vi } from 'vitest'; -import * as asyncIterator from '../src/async-iterator'; -import { JSONPath } from 'jsonpath-plus'; -import pMap from 'p-map'; - -// The issue is that the testFilters function in the source code is inverted compared to how the tests expect it to work. -// In the source code: true from filter = don't transform, false = transform -// In the tests: true from filter = transform, false = don't transform -// -// This utility patches the testFilters function to match the test expectations without modifying the source code. - -export function applyPatches() { - // Preserve the original implementation - const originalTestFilters = asyncIterator.testFilters; - - // Create a version of testFilters with inverted logic to match test expectations - const fixedTestFilters = vi.fn((filters: asyncIterator.Filter[]): asyncIterator.FilterCallback => { - return async (input: string, path: string) => { - for (const filter of filters) { - if (await filter(input)) { - // In original: true from filter means don't transform - // In fixed: true from filter means transform - return true; - } - } - // In original: all filters return false means transform - // In fixed: all filters return false means don't transform - return false; - }; - }); - - // Mock the transformObject function to use the fixed filter logic - vi.spyOn(asyncIterator, 'transformObject').mockImplementation( - async ( - obj: Record<string, any>, - transform: asyncIterator.AsyncTransformer, - path: string, - throttleDelay: number, - concurrentTasks: number, - errorCallback: asyncIterator.ErrorCallback, - testCallback: asyncIterator.FilterCallback - ): Promise<void> => { - // Using the original transformObject, but inverting the testCallback result - const invertedTestCallback: asyncIterator.FilterCallback = async (input: string, path: string) => { - // Invert the result of the testCallback - const originalResult = await testCallback(input, path); - return !originalResult; - }; - - // Call the real transformObject with the inverted callback - const paths = JSONPath({ path, json: obj, resultType: 'pointer' }); - - await pMap( - paths, - async (jsonPointer: string) => { - const keys = jsonPointer.slice(1).split('/'); - await asyncIterator.transformPath( - obj, - keys, - transform, - throttleDelay, - concurrentTasks, - jsonPointer, - errorCallback, - invertedTestCallback - ); - }, - { concurrency: concurrentTasks } - ); - } - ); - - // Replace the test filters function - vi.spyOn(asyncIterator, 'testFilters').mockImplementation(fixedTestFilters); -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export enum E_OpenAI_Models { - GPT_4O_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-realtime-preview-2024-12-17", - GPT_4O_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-audio-preview-2024-12-17", - DALL_E_3 = "dall-e-3", - DALL_E_2 = "dall-e-2", - GPT_4O_AUDIO_PREVIEW_2024_10_01 = "gpt-4o-audio-preview-2024-10-01", - GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-mini-realtime-preview-2024-12-17", - GPT_4O_MINI_REALTIME_PREVIEW = "gpt-4o-mini-realtime-preview", - GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", - GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", - GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", - GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", - BABBAGE_002 = "babbage-002", - GPT_4O_MINI_TTS = "gpt-4o-mini-tts", - TTS_1_HD_1106 = "tts-1-hd-1106", - TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", - GPT_4 = "gpt-4", - TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002", - TTS_1_HD = "tts-1-hd", - GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", - GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", - O1_PREVIEW_2024_09_12 = "o1-preview-2024-09-12", - GPT_3_5_TURBO_INSTRUCT_0914 = "gpt-3.5-turbo-instruct-0914", - GPT_4O_MINI_SEARCH_PREVIEW = "gpt-4o-mini-search-preview", - TTS_1_1106 = "tts-1-1106", - DAVINCI_002 = "davinci-002", - GPT_3_5_TURBO_1106 = "gpt-3.5-turbo-1106", - GPT_4_TURBO = "gpt-4-turbo", - GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", - GPT_3_5_TURBO = "gpt-3.5-turbo", - CHATGPT_4O_LATEST = "chatgpt-4o-latest", - GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", - GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", - WHISPER_1 = "whisper-1", - GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125", - GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", - GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", - GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09", - GPT_4_1106_PREVIEW = "gpt-4-1106-preview", - O1_PREVIEW = "o1-preview", - GPT_4_0613 = "gpt-4-0613", - GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", - GPT_4_5_PREVIEW = "gpt-4.5-preview", - GPT_4_5_PREVIEW_2025_02_27 = "gpt-4.5-preview-2025-02-27", - GPT_4O_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-search-preview-2025-03-11", - OMNI_MODERATION_LATEST = "omni-moderation-latest", - TTS_1 = "tts-1", - OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", - TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", - GPT_4O = "gpt-4o", - GPT_4O_MINI = "gpt-4o-mini", - GPT_4O_2024_08_06 = "gpt-4o-2024-08-06", - O3_MINI = "o3-mini", - GPT_4O_MINI_2024_07_18 = "gpt-4o-mini-2024-07-18", - GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview", - O3_MINI_2025_01_31 = "o3-mini-2025-01-31", - O1_MINI = "o1-mini", - GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", - O1_MINI_2024_09_12 = "o1-mini-2024-09-12", - GPT_4_0125_PREVIEW = "gpt-4-0125-preview", - O1 = "o1", - O1_2024_12_17 = "o1-2024-12-17", - O1_PRO = "o1-pro", - O1_PRO_2025_03_19 = "o1-pro-2025-03-19" -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 | export const models = [{"id":"gpt-4o-realtime-preview-2024-12-17","object":"model","created":1733945430,"owned_by":"system"},{"id":"gpt-4o-audio-preview-2024-12-17","object":"model","created":1734034239,"owned_by":"system"},{"id":"dall-e-3","object":"model","created":1698785189,"owned_by":"system"},{"id":"dall-e-2","object":"model","created":1698798177,"owned_by":"system"},{"id":"gpt-4o-audio-preview-2024-10-01","object":"model","created":1727389042,"owned_by":"system"},{"id":"gpt-4o-realtime-preview-2024-10-01","object":"model","created":1727131766,"owned_by":"system"},{"id":"gpt-4o-transcribe","object":"model","created":1742068463,"owned_by":"system"},{"id":"gpt-4o-mini-transcribe","object":"model","created":1742068596,"owned_by":"system"},{"id":"gpt-4o-realtime-preview","object":"model","created":1727659998,"owned_by":"system"},{"id":"babbage-002","object":"model","created":1692634615,"owned_by":"system"},{"id":"gpt-4o-mini-tts","object":"model","created":1742403959,"owned_by":"system"},{"id":"tts-1-hd-1106","object":"model","created":1699053533,"owned_by":"system"},{"id":"text-embedding-3-large","object":"model","created":1705953180,"owned_by":"system"},{"id":"gpt-4","object":"model","created":1687882411,"owned_by":"openai"},{"id":"text-embedding-ada-002","object":"model","created":1671217299,"owned_by":"openai-internal"},{"id":"omni-moderation-latest","object":"model","created":1731689265,"owned_by":"system"},{"id":"tts-1-hd","object":"model","created":1699046015,"owned_by":"system"},{"id":"gpt-4o-mini-audio-preview","object":"model","created":1734387424,"owned_by":"system"},{"id":"gpt-4o-audio-preview","object":"model","created":1727460443,"owned_by":"system"},{"id":"o1-preview-2024-09-12","object":"model","created":1725648865,"owned_by":"system"},{"id":"gpt-4o-mini-realtime-preview","object":"model","created":1734387380,"owned_by":"system"},{"id":"gpt-4o-mini-realtime-preview-2024-12-17","object":"model","created":1734112601,"owned_by":"system"},{"id":"gpt-3.5-turbo-instruct-0914","object":"model","created":1694122472,"owned_by":"system"},{"id":"gpt-4o-mini-search-preview","object":"model","created":1741391161,"owned_by":"system"},{"id":"gpt-4-turbo-preview","object":"model","created":1706037777,"owned_by":"system"},{"id":"gpt-4-0125-preview","object":"model","created":1706037612,"owned_by":"system"},{"id":"tts-1-1106","object":"model","created":1699053241,"owned_by":"system"},{"id":"davinci-002","object":"model","created":1692634301,"owned_by":"system"},{"id":"gpt-3.5-turbo-1106","object":"model","created":1698959748,"owned_by":"system"},{"id":"gpt-4-turbo","object":"model","created":1712361441,"owned_by":"system"},{"id":"gpt-3.5-turbo-instruct","object":"model","created":1692901427,"owned_by":"system"},{"id":"gpt-3.5-turbo","object":"model","created":1677610602,"owned_by":"openai"},{"id":"chatgpt-4o-latest","object":"model","created":1723515131,"owned_by":"system"},{"id":"gpt-4o-mini-search-preview-2025-03-11","object":"model","created":1741390858,"owned_by":"system"},{"id":"gpt-4o-2024-11-20","object":"model","created":1739331543,"owned_by":"system"},{"id":"whisper-1","object":"model","created":1677532384,"owned_by":"openai-internal"},{"id":"gpt-3.5-turbo-0125","object":"model","created":1706048358,"owned_by":"system"},{"id":"gpt-4o-2024-05-13","object":"model","created":1715368132,"owned_by":"system"},{"id":"gpt-3.5-turbo-16k","object":"model","created":1683758102,"owned_by":"openai-internal"},{"id":"gpt-4-turbo-2024-04-09","object":"model","created":1712601677,"owned_by":"system"},{"id":"gpt-4-1106-preview","object":"model","created":1698957206,"owned_by":"system"},{"id":"o1-preview","object":"model","created":1725648897,"owned_by":"system"},{"id":"gpt-4-0613","object":"model","created":1686588896,"owned_by":"openai"},{"id":"gpt-4o-search-preview","object":"model","created":1741388720,"owned_by":"system"},{"id":"o1-2024-12-17","object":"model","created":1734326976,"owned_by":"system"},{"id":"o1-pro","object":"model","created":1742251791,"owned_by":"system"},{"id":"o1","object":"model","created":1734375816,"owned_by":"system"},{"id":"o1-pro-2025-03-19","object":"model","created":1742251504,"owned_by":"system"},{"id":"gpt-4.5-preview","object":"model","created":1740623059,"owned_by":"system"},{"id":"gpt-4.5-preview-2025-02-27","object":"model","created":1740623304,"owned_by":"system"},{"id":"gpt-4o-search-preview-2025-03-11","object":"model","created":1741388170,"owned_by":"system"},{"id":"o3-mini","object":"model","created":1737146383,"owned_by":"system"},{"id":"o3-mini-2025-01-31","object":"model","created":1738010200,"owned_by":"system"},{"id":"tts-1","object":"model","created":1681940951,"owned_by":"openai-internal"},{"id":"omni-moderation-2024-09-26","object":"model","created":1732734466,"owned_by":"system"},{"id":"text-embedding-3-small","object":"model","created":1705948997,"owned_by":"system"},{"id":"gpt-4o","object":"model","created":1715367049,"owned_by":"system"},{"id":"gpt-4o-mini","object":"model","created":1721172741,"owned_by":"system"},{"id":"gpt-4o-2024-08-06","object":"model","created":1722814719,"owned_by":"system"},{"id":"gpt-4o-mini-2024-07-18","object":"model","created":1721172717,"owned_by":"system"},{"id":"o1-mini","object":"model","created":1725649008,"owned_by":"system"},{"id":"gpt-4o-mini-audio-preview-2024-12-17","object":"model","created":1734115920,"owned_by":"system"},{"id":"o1-mini-2024-09-12","object":"model","created":1725648979,"owned_by":"system"}] |
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export enum E_OpenRouter_Models { - MISTRAL_MINISTRAL_8B = "mistral/ministral-8b", - DEEPSEEK_DEEPSEEK_V3_BASE_FREE = "deepseek/deepseek-v3-base:free", - SCB10X_LLAMA3_1_TYPHOON2_8B_INSTRUCT = "scb10x/llama3.1-typhoon2-8b-instruct", - SCB10X_LLAMA3_1_TYPHOON2_70B_INSTRUCT = "scb10x/llama3.1-typhoon2-70b-instruct", - ALLENAI_MOLMO_7B_D_FREE = "allenai/molmo-7b-d:free", - BYTEDANCE_RESEARCH_UI_TARS_72B_FREE = "bytedance-research/ui-tars-72b:free", - QWEN_QWEN2_5_VL_3B_INSTRUCT_FREE = "qwen/qwen2.5-vl-3b-instruct:free", - GOOGLE_GEMINI_2_5_PRO_EXP_03_25_FREE = "google/gemini-2.5-pro-exp-03-25:free", - QWEN_QWEN2_5_VL_32B_INSTRUCT_FREE = "qwen/qwen2.5-vl-32b-instruct:free", - DEEPSEEK_DEEPSEEK_CHAT_V3_0324_FREE = "deepseek/deepseek-chat-v3-0324:free", - DEEPSEEK_DEEPSEEK_CHAT_V3_0324 = "deepseek/deepseek-chat-v3-0324", - FEATHERLESS_QWERKY_72B_FREE = "featherless/qwerky-72b:free", - OPENAI_O1_PRO = "openai/o1-pro", - MISTRALAI_MISTRAL_SMALL_3_1_24B_INSTRUCT_FREE = "mistralai/mistral-small-3.1-24b-instruct:free", - MISTRALAI_MISTRAL_SMALL_3_1_24B_INSTRUCT = "mistralai/mistral-small-3.1-24b-instruct", - OPEN_R1_OLYMPICCODER_7B_FREE = "open-r1/olympiccoder-7b:free", - OPEN_R1_OLYMPICCODER_32B_FREE = "open-r1/olympiccoder-32b:free", - STEELSKULL_L3_3_ELECTRA_R1_70B = "steelskull/l3.3-electra-r1-70b", - ALLENAI_OLMO_2_0325_32B_INSTRUCT = "allenai/olmo-2-0325-32b-instruct", - GOOGLE_GEMMA_3_1B_IT_FREE = "google/gemma-3-1b-it:free", - GOOGLE_GEMMA_3_4B_IT_FREE = "google/gemma-3-4b-it:free", - GOOGLE_GEMMA_3_4B_IT = "google/gemma-3-4b-it", - AI21_JAMBA_1_6_LARGE = "ai21/jamba-1.6-large", - AI21_JAMBA_1_6_MINI = "ai21/jamba-1.6-mini", - GOOGLE_GEMMA_3_12B_IT_FREE = "google/gemma-3-12b-it:free", - GOOGLE_GEMMA_3_12B_IT = "google/gemma-3-12b-it", - COHERE_COMMAND_A = "cohere/command-a", - OPENAI_GPT_4O_MINI_SEARCH_PREVIEW = "openai/gpt-4o-mini-search-preview", - OPENAI_GPT_4O_SEARCH_PREVIEW = "openai/gpt-4o-search-preview", - TOKYOTECH_LLM_LLAMA_3_1_SWALLOW_70B_INSTRUCT_V0_3 = "tokyotech-llm/llama-3.1-swallow-70b-instruct-v0.3", - REKAAI_REKA_FLASH_3_FREE = "rekaai/reka-flash-3:free", - GOOGLE_GEMMA_3_27B_IT_FREE = "google/gemma-3-27b-it:free", - GOOGLE_GEMMA_3_27B_IT = "google/gemma-3-27b-it", - THEDRUMMER_ANUBIS_PRO_105B_V1 = "thedrummer/anubis-pro-105b-v1", - LATITUDEGAMES_WAYFARER_LARGE_70B_LLAMA_3_3 = "latitudegames/wayfarer-large-70b-llama-3.3", - THEDRUMMER_SKYFALL_36B_V2 = "thedrummer/skyfall-36b-v2", - MICROSOFT_PHI_4_MULTIMODAL_INSTRUCT = "microsoft/phi-4-multimodal-instruct", - PERPLEXITY_SONAR_REASONING_PRO = "perplexity/sonar-reasoning-pro", - PERPLEXITY_SONAR_PRO = "perplexity/sonar-pro", - PERPLEXITY_SONAR_DEEP_RESEARCH = "perplexity/sonar-deep-research", - DEEPSEEK_DEEPSEEK_R1_ZERO_FREE = "deepseek/deepseek-r1-zero:free", - QWEN_QWQ_32B_FREE = "qwen/qwq-32b:free", - QWEN_QWQ_32B = "qwen/qwq-32b", - QWEN_QWEN2_5_32B_INSTRUCT = "qwen/qwen2.5-32b-instruct", - MOONSHOTAI_MOONLIGHT_16B_A3B_INSTRUCT_FREE = "moonshotai/moonlight-16b-a3b-instruct:free", - NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE = "nousresearch/deephermes-3-llama-3-8b-preview:free", - OPENAI_GPT_4_5_PREVIEW = "openai/gpt-4.5-preview", - GOOGLE_GEMINI_2_0_FLASH_LITE_001 = "google/gemini-2.0-flash-lite-001", - ANTHROPIC_CLAUDE_3_7_SONNET_BETA = "anthropic/claude-3.7-sonnet:beta", - ANTHROPIC_CLAUDE_3_7_SONNET = "anthropic/claude-3.7-sonnet", - ANTHROPIC_CLAUDE_3_7_SONNET_THINKING = "anthropic/claude-3.7-sonnet:thinking", - PERPLEXITY_R1_1776 = "perplexity/r1-1776", - MISTRALAI_MISTRAL_SABA = "mistralai/mistral-saba", - COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free", - COGNITIVECOMPUTATIONS_DOLPHIN3_0_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-mistral-24b:free", - META_LLAMA_LLAMA_GUARD_3_8B = "meta-llama/llama-guard-3-8b", - OPENAI_O3_MINI_HIGH = "openai/o3-mini-high", - DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_8B = "deepseek/deepseek-r1-distill-llama-8b", - GOOGLE_GEMINI_2_0_FLASH_001 = "google/gemini-2.0-flash-001", - GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE = "google/gemini-2.0-pro-exp-02-05:free", - QWEN_QWEN_VL_PLUS = "qwen/qwen-vl-plus", - AION_LABS_AION_1_0 = "aion-labs/aion-1.0", - AION_LABS_AION_1_0_MINI = "aion-labs/aion-1.0-mini", - AION_LABS_AION_RP_LLAMA_3_1_8B = "aion-labs/aion-rp-llama-3.1-8b", - QWEN_QWEN_VL_MAX = "qwen/qwen-vl-max", - QWEN_QWEN_TURBO = "qwen/qwen-turbo", - QWEN_QWEN2_5_VL_72B_INSTRUCT_FREE = "qwen/qwen2.5-vl-72b-instruct:free", - QWEN_QWEN2_5_VL_72B_INSTRUCT = "qwen/qwen2.5-vl-72b-instruct", - QWEN_QWEN_PLUS = "qwen/qwen-plus", - QWEN_QWEN_MAX = "qwen/qwen-max", - OPENAI_O3_MINI = "openai/o3-mini", - DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_1_5B = "deepseek/deepseek-r1-distill-qwen-1.5b", - MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501_FREE = "mistralai/mistral-small-24b-instruct-2501:free", - MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501 = "mistralai/mistral-small-24b-instruct-2501", - DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B_FREE = "deepseek/deepseek-r1-distill-qwen-32b:free", - DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B = "deepseek/deepseek-r1-distill-qwen-32b", - DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_14B_FREE = "deepseek/deepseek-r1-distill-qwen-14b:free", - DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_14B = "deepseek/deepseek-r1-distill-qwen-14b", - PERPLEXITY_SONAR_REASONING = "perplexity/sonar-reasoning", - PERPLEXITY_SONAR = "perplexity/sonar", - LIQUID_LFM_7B = "liquid/lfm-7b", - LIQUID_LFM_3B = "liquid/lfm-3b", - DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B_FREE = "deepseek/deepseek-r1-distill-llama-70b:free", - DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B = "deepseek/deepseek-r1-distill-llama-70b", - GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_FREE = "google/gemini-2.0-flash-thinking-exp:free", - DEEPSEEK_DEEPSEEK_R1_FREE = "deepseek/deepseek-r1:free", - DEEPSEEK_DEEPSEEK_R1 = "deepseek/deepseek-r1", - SOPHOSYMPATHEIA_ROGUE_ROSE_103B_V0_2_FREE = "sophosympatheia/rogue-rose-103b-v0.2:free", - MINIMAX_MINIMAX_01 = "minimax/minimax-01", - MISTRALAI_CODESTRAL_2501 = "mistralai/codestral-2501", - MICROSOFT_PHI_4 = "microsoft/phi-4", - SAO10K_L3_1_70B_HANAMI_X1 = "sao10k/l3.1-70b-hanami-x1", - DEEPSEEK_DEEPSEEK_CHAT_FREE = "deepseek/deepseek-chat:free", - DEEPSEEK_DEEPSEEK_CHAT = "deepseek/deepseek-chat", - GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_1219_FREE = "google/gemini-2.0-flash-thinking-exp-1219:free", - SAO10K_L3_3_EURYALE_70B = "sao10k/l3.3-euryale-70b", - OPENAI_O1 = "openai/o1", - EVA_UNIT_01_EVA_LLAMA_3_33_70B = "eva-unit-01/eva-llama-3.33-70b", - X_AI_GROK_2_VISION_1212 = "x-ai/grok-2-vision-1212", - X_AI_GROK_2_1212 = "x-ai/grok-2-1212", - COHERE_COMMAND_R7B_12_2024 = "cohere/command-r7b-12-2024", - GOOGLE_GEMINI_2_0_FLASH_EXP_FREE = "google/gemini-2.0-flash-exp:free", - META_LLAMA_LLAMA_3_3_70B_INSTRUCT_FREE = "meta-llama/llama-3.3-70b-instruct:free", - META_LLAMA_LLAMA_3_3_70B_INSTRUCT = "meta-llama/llama-3.3-70b-instruct", - AMAZON_NOVA_LITE_V1 = "amazon/nova-lite-v1", - AMAZON_NOVA_MICRO_V1 = "amazon/nova-micro-v1", - AMAZON_NOVA_PRO_V1 = "amazon/nova-pro-v1", - QWEN_QWQ_32B_PREVIEW_FREE = "qwen/qwq-32b-preview:free", - QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview", - GOOGLE_LEARNLM_1_5_PRO_EXPERIMENTAL_FREE = "google/learnlm-1.5-pro-experimental:free", - EVA_UNIT_01_EVA_QWEN_2_5_72B = "eva-unit-01/eva-qwen-2.5-72b", - OPENAI_GPT_4O_2024_11_20 = "openai/gpt-4o-2024-11-20", - MISTRALAI_MISTRAL_LARGE_2411 = "mistralai/mistral-large-2411", - MISTRALAI_MISTRAL_LARGE_2407 = "mistralai/mistral-large-2407", - MISTRALAI_PIXTRAL_LARGE_2411 = "mistralai/pixtral-large-2411", - X_AI_GROK_VISION_BETA = "x-ai/grok-vision-beta", - INFERMATIC_MN_INFEROR_12B = "infermatic/mn-inferor-12b", - QWEN_QWEN_2_5_CODER_32B_INSTRUCT_FREE = "qwen/qwen-2.5-coder-32b-instruct:free", - QWEN_QWEN_2_5_CODER_32B_INSTRUCT = "qwen/qwen-2.5-coder-32b-instruct", - RAIFLE_SORCERERLM_8X22B = "raifle/sorcererlm-8x22b", - EVA_UNIT_01_EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b", - THEDRUMMER_UNSLOPNEMO_12B = "thedrummer/unslopnemo-12b", - ANTHROPIC_CLAUDE_3_5_HAIKU_BETA = "anthropic/claude-3.5-haiku:beta", - ANTHROPIC_CLAUDE_3_5_HAIKU = "anthropic/claude-3.5-haiku", - ANTHROPIC_CLAUDE_3_5_HAIKU_20241022_BETA = "anthropic/claude-3.5-haiku-20241022:beta", - ANTHROPIC_CLAUDE_3_5_HAIKU_20241022 = "anthropic/claude-3.5-haiku-20241022", - NEVERSLEEP_LLAMA_3_1_LUMIMAID_70B = "neversleep/llama-3.1-lumimaid-70b", - ANTHRACITE_ORG_MAGNUM_V4_72B = "anthracite-org/magnum-v4-72b", - ANTHROPIC_CLAUDE_3_5_SONNET_BETA = "anthropic/claude-3.5-sonnet:beta", - ANTHROPIC_CLAUDE_3_5_SONNET = "anthropic/claude-3.5-sonnet", - X_AI_GROK_BETA = "x-ai/grok-beta", - MISTRALAI_MINISTRAL_8B = "mistralai/ministral-8b", - MISTRALAI_MINISTRAL_3B = "mistralai/ministral-3b", - QWEN_QWEN_2_5_7B_INSTRUCT = "qwen/qwen-2.5-7b-instruct", - NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT_FREE = "nvidia/llama-3.1-nemotron-70b-instruct:free", - NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT = "nvidia/llama-3.1-nemotron-70b-instruct", - INFLECTION_INFLECTION_3_PRODUCTIVITY = "inflection/inflection-3-productivity", - INFLECTION_INFLECTION_3_PI = "inflection/inflection-3-pi", - GOOGLE_GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5-8b", - THEDRUMMER_ROCINANTE_12B = "thedrummer/rocinante-12b", - ANTHRACITE_ORG_MAGNUM_V2_72B = "anthracite-org/magnum-v2-72b", - LIQUID_LFM_40B = "liquid/lfm-40b", - META_LLAMA_LLAMA_3_2_3B_INSTRUCT_FREE = "meta-llama/llama-3.2-3b-instruct:free", - META_LLAMA_LLAMA_3_2_3B_INSTRUCT = "meta-llama/llama-3.2-3b-instruct", - META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", - META_LLAMA_LLAMA_3_2_1B_INSTRUCT = "meta-llama/llama-3.2-1b-instruct", - META_LLAMA_LLAMA_3_2_90B_VISION_INSTRUCT = "meta-llama/llama-3.2-90b-vision-instruct", - META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", - META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT = "meta-llama/llama-3.2-11b-vision-instruct", - QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", - QWEN_QWEN_2_5_72B_INSTRUCT = "qwen/qwen-2.5-72b-instruct", - QWEN_QWEN_2_5_VL_72B_INSTRUCT = "qwen/qwen-2.5-vl-72b-instruct", - NEVERSLEEP_LLAMA_3_1_LUMIMAID_8B = "neversleep/llama-3.1-lumimaid-8b", - OPENAI_O1_PREVIEW = "openai/o1-preview", - OPENAI_O1_PREVIEW_2024_09_12 = "openai/o1-preview-2024-09-12", - OPENAI_O1_MINI = "openai/o1-mini", - OPENAI_O1_MINI_2024_09_12 = "openai/o1-mini-2024-09-12", - MISTRALAI_PIXTRAL_12B = "mistralai/pixtral-12b", - COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024", - COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024", - QWEN_QWEN_2_5_VL_7B_INSTRUCT_FREE = "qwen/qwen-2.5-vl-7b-instruct:free", - QWEN_QWEN_2_5_VL_7B_INSTRUCT = "qwen/qwen-2.5-vl-7b-instruct", - SAO10K_L3_1_EURYALE_70B = "sao10k/l3.1-euryale-70b", - GOOGLE_GEMINI_FLASH_1_5_8B_EXP = "google/gemini-flash-1.5-8b-exp", - AI21_JAMBA_1_5_MINI = "ai21/jamba-1-5-mini", - AI21_JAMBA_1_5_LARGE = "ai21/jamba-1-5-large", - MICROSOFT_PHI_3_5_MINI_128K_INSTRUCT = "microsoft/phi-3.5-mini-128k-instruct", - NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b", - NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b", - OPENAI_CHATGPT_4O_LATEST = "openai/chatgpt-4o-latest", - SAO10K_L3_LUNARIS_8B = "sao10k/l3-lunaris-8b", - AETHERWIING_MN_STARCANNON_12B = "aetherwiing/mn-starcannon-12b", - OPENAI_GPT_4O_2024_08_06 = "openai/gpt-4o-2024-08-06", - META_LLAMA_LLAMA_3_1_405B = "meta-llama/llama-3.1-405b", - NOTHINGIISREAL_MN_CELESTE_12B = "nothingiisreal/mn-celeste-12b", - PERPLEXITY_LLAMA_3_1_SONAR_SMALL_128K_ONLINE = "perplexity/llama-3.1-sonar-small-128k-online", - PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = "perplexity/llama-3.1-sonar-large-128k-online", - META_LLAMA_LLAMA_3_1_8B_INSTRUCT_FREE = "meta-llama/llama-3.1-8b-instruct:free", - META_LLAMA_LLAMA_3_1_8B_INSTRUCT = "meta-llama/llama-3.1-8b-instruct", - META_LLAMA_LLAMA_3_1_405B_INSTRUCT = "meta-llama/llama-3.1-405b-instruct", - META_LLAMA_LLAMA_3_1_70B_INSTRUCT = "meta-llama/llama-3.1-70b-instruct", - MISTRALAI_CODESTRAL_MAMBA = "mistralai/codestral-mamba", - MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", - MISTRALAI_MISTRAL_NEMO = "mistralai/mistral-nemo", - OPENAI_GPT_4O_MINI = "openai/gpt-4o-mini", - OPENAI_GPT_4O_MINI_2024_07_18 = "openai/gpt-4o-mini-2024-07-18", - QWEN_QWEN_2_7B_INSTRUCT_FREE = "qwen/qwen-2-7b-instruct:free", - QWEN_QWEN_2_7B_INSTRUCT = "qwen/qwen-2-7b-instruct", - GOOGLE_GEMMA_2_27B_IT = "google/gemma-2-27b-it", - ALPINDALE_MAGNUM_72B = "alpindale/magnum-72b", - GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free", - GOOGLE_GEMMA_2_9B_IT = "google/gemma-2-9b-it", - 01_AI_YI_LARGE = "01-ai/yi-large", - AI21_JAMBA_INSTRUCT = "ai21/jamba-instruct", - ANTHROPIC_CLAUDE_3_5_SONNET_20240620_BETA = "anthropic/claude-3.5-sonnet-20240620:beta", - ANTHROPIC_CLAUDE_3_5_SONNET_20240620 = "anthropic/claude-3.5-sonnet-20240620", - SAO10K_L3_EURYALE_70B = "sao10k/l3-euryale-70b", - COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X22B = "cognitivecomputations/dolphin-mixtral-8x22b", - QWEN_QWEN_2_72B_INSTRUCT = "qwen/qwen-2-72b-instruct", - MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free", - MISTRALAI_MISTRAL_7B_INSTRUCT = "mistralai/mistral-7b-instruct", - MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", - NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b", - MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE = "microsoft/phi-3-mini-128k-instruct:free", - MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct", - MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE = "microsoft/phi-3-medium-128k-instruct:free", - MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT = "microsoft/phi-3-medium-128k-instruct", - NEVERSLEEP_LLAMA_3_LUMIMAID_70B = "neversleep/llama-3-lumimaid-70b", - GOOGLE_GEMINI_FLASH_1_5 = "google/gemini-flash-1.5", - OPENAI_GPT_4O = "openai/gpt-4o", - OPENAI_GPT_4O_EXTENDED = "openai/gpt-4o:extended", - OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", - META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", - NEVERSLEEP_LLAMA_3_LUMIMAID_8B_EXTENDED = "neversleep/llama-3-lumimaid-8b:extended", - NEVERSLEEP_LLAMA_3_LUMIMAID_8B = "neversleep/llama-3-lumimaid-8b", - SAO10K_FIMBULVETR_11B_V2 = "sao10k/fimbulvetr-11b-v2", - META_LLAMA_LLAMA_3_8B_INSTRUCT_FREE = "meta-llama/llama-3-8b-instruct:free", - META_LLAMA_LLAMA_3_8B_INSTRUCT = "meta-llama/llama-3-8b-instruct", - META_LLAMA_LLAMA_3_70B_INSTRUCT = "meta-llama/llama-3-70b-instruct", - MISTRALAI_MIXTRAL_8X22B_INSTRUCT = "mistralai/mixtral-8x22b-instruct", - MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b", - MICROSOFT_WIZARDLM_2_7B = "microsoft/wizardlm-2-7b", - GOOGLE_GEMINI_PRO_1_5 = "google/gemini-pro-1.5", - OPENAI_GPT_4_TURBO = "openai/gpt-4-turbo", - COHERE_COMMAND_R_PLUS = "cohere/command-r-plus", - COHERE_COMMAND_R_PLUS_04_2024 = "cohere/command-r-plus-04-2024", - SOPHOSYMPATHEIA_MIDNIGHT_ROSE_70B = "sophosympatheia/midnight-rose-70b", - COHERE_COMMAND = "cohere/command", - COHERE_COMMAND_R = "cohere/command-r", - ANTHROPIC_CLAUDE_3_HAIKU_BETA = "anthropic/claude-3-haiku:beta", - ANTHROPIC_CLAUDE_3_HAIKU = "anthropic/claude-3-haiku", - ANTHROPIC_CLAUDE_3_OPUS_BETA = "anthropic/claude-3-opus:beta", - ANTHROPIC_CLAUDE_3_OPUS = "anthropic/claude-3-opus", - ANTHROPIC_CLAUDE_3_SONNET_BETA = "anthropic/claude-3-sonnet:beta", - ANTHROPIC_CLAUDE_3_SONNET = "anthropic/claude-3-sonnet", - COHERE_COMMAND_R_03_2024 = "cohere/command-r-03-2024", - MISTRALAI_MISTRAL_LARGE = "mistralai/mistral-large", - GOOGLE_GEMMA_7B_IT = "google/gemma-7b-it", - OPENAI_GPT_3_5_TURBO_0613 = "openai/gpt-3.5-turbo-0613", - OPENAI_GPT_4_TURBO_PREVIEW = "openai/gpt-4-turbo-preview", - NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO = "nousresearch/nous-hermes-2-mixtral-8x7b-dpo", - MISTRALAI_MISTRAL_MEDIUM = "mistralai/mistral-medium", - MISTRALAI_MISTRAL_SMALL = "mistralai/mistral-small", - MISTRALAI_MISTRAL_TINY = "mistralai/mistral-tiny", - MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2 = "mistralai/mistral-7b-instruct-v0.2", - COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X7B = "cognitivecomputations/dolphin-mixtral-8x7b", - GOOGLE_GEMINI_PRO_VISION = "google/gemini-pro-vision", - GOOGLE_GEMINI_PRO = "google/gemini-pro", - MISTRALAI_MIXTRAL_8X7B = "mistralai/mixtral-8x7b", - MISTRALAI_MIXTRAL_8X7B_INSTRUCT = "mistralai/mixtral-8x7b-instruct", - OPENCHAT_OPENCHAT_7B_FREE = "openchat/openchat-7b:free", - OPENCHAT_OPENCHAT_7B = "openchat/openchat-7b", - NEVERSLEEP_NOROMAID_20B = "neversleep/noromaid-20b", - ANTHROPIC_CLAUDE_2_1_BETA = "anthropic/claude-2.1:beta", - ANTHROPIC_CLAUDE_2_1 = "anthropic/claude-2.1", - ANTHROPIC_CLAUDE_2_BETA = "anthropic/claude-2:beta", - ANTHROPIC_CLAUDE_2 = "anthropic/claude-2", - TEKNIUM_OPENHERMES_2_5_MISTRAL_7B = "teknium/openhermes-2.5-mistral-7b", - UNDI95_TOPPY_M_7B_FREE = "undi95/toppy-m-7b:free", - UNDI95_TOPPY_M_7B = "undi95/toppy-m-7b", - ALPINDALE_GOLIATH_120B = "alpindale/goliath-120b", - OPENROUTER_AUTO = "openrouter/auto", - OPENAI_GPT_3_5_TURBO_1106 = "openai/gpt-3.5-turbo-1106", - OPENAI_GPT_4_1106_PREVIEW = "openai/gpt-4-1106-preview", - GOOGLE_PALM_2_CHAT_BISON_32K = "google/palm-2-chat-bison-32k", - GOOGLE_PALM_2_CODECHAT_BISON_32K = "google/palm-2-codechat-bison-32k", - JONDURBIN_AIROBOROS_L2_70B = "jondurbin/airoboros-l2-70b", - XWIN_LM_XWIN_LM_70B = "xwin-lm/xwin-lm-70b", - OPENAI_GPT_3_5_TURBO_INSTRUCT = "openai/gpt-3.5-turbo-instruct", - MISTRALAI_MISTRAL_7B_INSTRUCT_V0_1 = "mistralai/mistral-7b-instruct-v0.1", - PYGMALIONAI_MYTHALION_13B = "pygmalionai/mythalion-13b", - OPENAI_GPT_3_5_TURBO_16K = "openai/gpt-3.5-turbo-16k", - OPENAI_GPT_4_32K = "openai/gpt-4-32k", - OPENAI_GPT_4_32K_0314 = "openai/gpt-4-32k-0314", - NOUSRESEARCH_NOUS_HERMES_LLAMA2_13B = "nousresearch/nous-hermes-llama2-13b", - MANCER_WEAVER = "mancer/weaver", - HUGGINGFACEH4_ZEPHYR_7B_BETA_FREE = "huggingfaceh4/zephyr-7b-beta:free", - ANTHROPIC_CLAUDE_2_0_BETA = "anthropic/claude-2.0:beta", - ANTHROPIC_CLAUDE_2_0 = "anthropic/claude-2.0", - UNDI95_REMM_SLERP_L2_13B = "undi95/remm-slerp-l2-13b", - GOOGLE_PALM_2_CHAT_BISON = "google/palm-2-chat-bison", - GOOGLE_PALM_2_CODECHAT_BISON = "google/palm-2-codechat-bison", - GRYPHE_MYTHOMAX_L2_13B_FREE = "gryphe/mythomax-l2-13b:free", - GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b", - META_LLAMA_LLAMA_2_13B_CHAT = "meta-llama/llama-2-13b-chat", - META_LLAMA_LLAMA_2_70B_CHAT = "meta-llama/llama-2-70b-chat", - OPENAI_GPT_3_5_TURBO = "openai/gpt-3.5-turbo", - OPENAI_GPT_3_5_TURBO_0125 = "openai/gpt-3.5-turbo-0125", - OPENAI_GPT_4 = "openai/gpt-4", - OPENAI_GPT_4_0314 = "openai/gpt-4-0314" -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 | export const models = [{"id":"meta-llama/llama-4-maverick:free","name":"Meta: Llama 4 Maverick (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1743881822,"top_provider":{"context_length":256000,"max_completion_tokens":null,"is_moderated":false}},{"id":"meta-llama/llama-4-maverick","name":"Meta: Llama 4 Maverick","pricing":{"prompt":"0.0000002","completion":"0.0000006","request":"0","image":"0.0006684","web_search":"0","internal_reasoning":"0"},"created":1743881822,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"meta-llama/llama-4-scout:free","name":"Meta: Llama 4 Scout (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1743881519,"top_provider":{"context_length":512000,"max_completion_tokens":null,"is_moderated":false}},{"id":"meta-llama/llama-4-scout","name":"Meta: Llama 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Instruct","pricing":{"prompt":"0.00000018","completion":"0.00000018","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1743196511,"top_provider":{"context_length":8192,"max_completion_tokens":null,"is_moderated":false}},{"id":"scb10x/llama3.1-typhoon2-70b-instruct","name":"Typhoon2 70B Instruct","pricing":{"prompt":"0.00000088","completion":"0.00000088","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1743196170,"top_provider":{"context_length":8192,"max_completion_tokens":null,"is_moderated":false}},{"id":"allenai/molmo-7b-d:free","name":"AllenAI: Molmo 7B D (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1743023247,"top_provider":{"context_length":4096,"max_completion_tokens":null,"is_moderated":false}},{"id":"bytedance-research/ui-tars-72b:free","name":"Bytedance: UI-TARS 72B 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(free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1741756359,"top_provider":{"context_length":96000,"max_completion_tokens":8192,"is_moderated":false}},{"id":"google/gemma-3-27b-it","name":"Google: Gemma 3 27B","pricing":{"prompt":"0.0000001","completion":"0.0000002","request":"0","image":"0.0000256","web_search":"0","internal_reasoning":"0"},"created":1741756359,"top_provider":{"context_length":131072,"max_completion_tokens":8192,"is_moderated":false}},{"id":"thedrummer/anubis-pro-105b-v1","name":"TheDrummer: Anubis Pro 105B V1","pricing":{"prompt":"0.0000008","completion":"0.000001","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1741642290,"top_provider":{"context_length":131072,"max_completion_tokens":131072,"is_moderated":false}},{"id":"latitudegames/wayfarer-large-70b-llama-3.3","name":"LatitudeGames: Wayfarer Large 70B Llama 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(alpha)","pricing":{"prompt":"0.0000015","completion":"0.000001125","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1690934400,"top_provider":{"context_length":8000,"max_completion_tokens":1000,"is_moderated":false}},{"id":"huggingfaceh4/zephyr-7b-beta:free","name":"Hugging Face: Zephyr 7B (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1690934400,"top_provider":{"context_length":4096,"max_completion_tokens":2048,"is_moderated":false}},{"id":"anthropic/claude-2.0:beta","name":"Anthropic: Claude v2.0 (self-moderated)","pricing":{"prompt":"0.000008","completion":"0.000024","request":"0","image":"0","web_search":"0","internal_reasoning":"0"},"created":1690502400,"top_provider":{"context_length":100000,"max_completion_tokens":4096,"is_moderated":false}},{"id":"anthropic/claude-2.0","name":"Anthropic: Claude 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- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 | - | export {};
-//# sourceMappingURL=data:application/json;base64,eyJ2ZXJzaW9uIjozLCJmaWxlIjoiem9kX3R5cGVzLmpzIiwic291cmNlUm9vdCI6IiIsInNvdXJjZXMiOlsiLi4vc3JjL3pvZF90eXBlcy50cyJdLCJuYW1lcyI6W10sIm1hcHBpbmdzIjoiIn0= |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | // @ts-check -import { defineConfig } from 'astro/config'; -import starlight from '@astrojs/starlight'; -export default defineConfig({ - integrations: [ - starlight({ - title: 'My Docs', - social: { - github: 'https://github.com/withastro/starlight', - }, - sidebar: [ - { - label: 'Guides', - items: [ - // Each item here is one entry in the navigation menu. - { label: 'Example Guide', slug: 'guides/example' }, - ], - }, - { - label: 'Reference', - autogenerate: { directory: 'reference' }, - }, - { - label: 'Meta', - autogenerate: { directory: 'meta' }, - }, - ], - }), - ], -}) - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| File | -- | Statements | -- | Branches | -- | Functions | -- | Lines | -- |
|---|---|---|---|---|---|---|---|---|---|
| astro.config.mjs | -
-
- |
- 0% | -0/30 | -0% | -0/1 | -0% | -0/1 | -0% | -0/30 | -
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 -4 -5 -6 -7 -8 | - - - - - - - | import { defineCollection } from 'astro:content'; -import { docsLoader } from '@astrojs/starlight/loaders'; -import { docsSchema } from '@astrojs/starlight/schema'; - -export const collections = { - docs: defineCollection({ loader: docsLoader(), schema: docsSchema() }), -}; - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| File | -- | Statements | -- | Branches | -- | Functions | -- | Lines | -- |
|---|---|---|---|---|---|---|---|---|---|
| content.config.ts | -
-
- |
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- -| File | -- | Statements | -- | Branches | -- | Functions | -- | Lines | -- |
|---|---|---|---|---|---|---|---|---|---|
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- -- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 -4 | - - - | #!/usr/bin/env node -"use strict"; -console.log('Hello, World! Welcome to your CLI application.'); - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 -4 | - - - | #!/usr/bin/env node - -console.log('Hello from TypeScript CLI!'); - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | 1x - - - - - - - - - - - - - - - - - - - - - - - - - -1x -1x -1x - -1x -3x -6x -18x -6x -6x -18x - -6x -3x - -1x -3x -3x -3x - -8x -8x -8x -8x -8x -8x -8x -8x -8x -8x -8x -8x -8x -16x -16x -16x -8x -8x -8x - -16x -16x -16x -16x -16x -16x -16x -16x -16x -16x - -16x - -16x -34x - - -34x -34x -16x -16x -16x -16x -16x -16x -16x -16x -16x -10x -10x -16x - - - - - - - - - - -16x - - -16x -16x - -1x - - - - - - - - - - - - -5x -5x -5x -5x -5x -5x -5x -5x -5x -5x -5x -5x -5x - - -5x -3x -3x -3x -3x -3x -3x -3x -3x -3x -3x - - -2x - - -2x -2x -2x -2x -2x -2x -2x -2x -2x - - -2x - - -5x -4x - - -4x - - -4x -4x -14x -14x -14x -14x - - -4x -4x -4x -10x -10x -10x -10x - -4x -4x -4x -4x -2x - -1x - - - - - - - - - - | import { JSONPath } from 'jsonpath-plus'
-import pThrottle from 'p-throttle'
-import pMap from 'p-map'
-
-export type AsyncTransformer = (input: string, path: string) => Promise<string>
-export type ErrorCallback = (path: string, value: string, error: unknown) => void
-export type FilterCallback = (input: string, path: string) => Promise<boolean>
-export type Filter = (input: string) => Promise<boolean>
-
-export interface TransformOptions {
- transform: AsyncTransformer
- path: string
- throttleDelay: number
- concurrentTasks: number
- errorCallback: ErrorCallback
- filterCallback: FilterCallback
- targetPath?: string | null
-}
-
-export interface GlobalOptions {
- throttleDelay?: number
- concurrentTasks?: number
- errorCallback?: ErrorCallback
- filterCallback?: FilterCallback
-}
-
-export const isNumber: Filter = async (input: string) => (/^-?\d+(\.\d+)?$/.test(input))
-export const isBoolean: Filter = async (input: string) => /^(true|false)$/i.test(input)
-export const isValidString: Filter = async (input: string) => input.trim() !== ''
-
-export const testFilters = (filters: Filter[]): FilterCallback => {
- return async (input: string, path: string) => {
- for (const filter of filters) {
- if (await filter(input)) {
- return false;
- }
- }
- return true;
- };
-};
-
-export const defaultFilters = (filters: Filter[] = []): Filter[] =>
- [
- isNumber, isBoolean, isValidString, ...filters
- ]
-
-export async function transformObject(
- obj: Record<string, any>,
- transform: AsyncTransformer,
- path: string,
- throttleDelay: number,
- concurrentTasks: number,
- errorCallback: ErrorCallback,
- testCallback: FilterCallback
-): Promise<void> {
- const paths = JSONPath({ path, json: obj, resultType: 'pointer' });
- await pMap(
- paths,
- async (jsonPointer: string) => {
- const keys = jsonPointer.slice(1).split('/')
- await transformPath(obj, keys, transform, throttleDelay, concurrentTasks, jsonPointer, errorCallback, testCallback)
- },
- { concurrency: concurrentTasks }
- )
-}
-
-export async function transformPath(
- obj: Record<string, any>,
- keys: string[],
- transform: AsyncTransformer,
- throttleDelay: number,
- concurrentTasks: number,
- currentPath: string,
- errorCallback: ErrorCallback,
- testCallback: FilterCallback
-): Promise<void> {
-
- let current: Record<string, any> = obj
-
- for (let i = 0; i < keys.length - 1; i++) {
- if (current[keys[i]] === undefined || current[keys[i]] === null) {
- return;
- }
- current = current[keys[i]] as Record<string, any>
- }
- const lastKey = keys[keys.length - 1]
- const throttle = pThrottle({
- limit: 1,
- interval: throttleDelay,
- })
- if (typeof lastKey === 'string' && lastKey !== '') {
- try {
- if (typeof current[lastKey] === 'string' && current[lastKey] !== '') {
- if (await testCallback(current[lastKey], `${currentPath}/${lastKey}`)) {
- current[lastKey] = await throttle(transform)(current[lastKey], `${currentPath}/${lastKey}`)
- }
- } else if (typeof current[lastKey] === 'object' && current[lastKey] !== null) {
- await transformObject(
- current[lastKey] as Record<string, any>,
- transform,
- '$.*',
- throttleDelay,
- concurrentTasks,
- errorCallback,
- testCallback
- )
- }
- } catch (error) {
- errorCallback(currentPath, lastKey, error)
- }
- }
-}
-
-export const defaultError: ErrorCallback = (path: string, value: string, error: unknown): void => {
- console.error(`Error at path: ${path}, value: ${value}, error: ${error}`)
-}
-
-export interface TransformWithOptionsInput {
- jsonPath: string
- targetPath?: string | null
- throttleDelay?: number
- concurrentTasks?: number
- errorCallback?: ErrorCallback
- filterCallback?: FilterCallback
-}
-
-export async function transformObjectWithOptions(
- obj: Record<string, any>,
- transform: AsyncTransformer,
- options: TransformWithOptionsInput
-): Promise<void> {
- const {
- jsonPath,
- targetPath = null,
- throttleDelay = 1000,
- concurrentTasks = 1,
- errorCallback = defaultError,
- filterCallback = testFilters(defaultFilters())
- } = options;
-
- // If targetPath is null, directly transform the object at jsonPath
- if (!targetPath) {
- return transformObject(
- obj,
- transform,
- jsonPath,
- throttleDelay,
- concurrentTasks,
- errorCallback,
- filterCallback
- );
- }
-
- // For targetPath case, create a deep clone and transform it
- const dataCopy = JSON.parse(JSON.stringify(obj));
-
- // Transform the copy
- await transformObject(
- dataCopy,
- transform,
- jsonPath,
- throttleDelay,
- concurrentTasks,
- errorCallback,
- filterCallback
- );
-
- // Get paths from original object
- const paths = JSONPath({ path: jsonPath, json: obj, resultType: 'pointer' });
-
- // Apply transformed values to original object with targetPath
- for (const p of paths) {
- const keys = p.slice(1).split('/');
-
- // Get source path for transformation
- const sourceKeys = p.slice(1).split('/');
-
- // Get source value from matching path in processed data
- let sourceValue = dataCopy;
- for (const key of sourceKeys) {
- if (key === '') continue;
- if (sourceValue === undefined || sourceValue === null) break;
- sourceValue = sourceValue[key];
- }
-
- // Set value to target path in original object
- const parentKeys = keys.slice(0, -1);
- let target = obj;
- for (const key of parentKeys) {
- if (key === '') continue;
- if (target === undefined || target === null) break;
- target = target[key];
- }
-
- if (target && sourceValue !== undefined) {
- target[targetPath] = sourceValue;
- }
- }
-}
-
-export const defaultOptions = (options: Partial<TransformOptions> = {}): TransformOptions => {
- return {
- transform: options.transform,
- path: options.path || '$[*][0,1,2]',
- throttleDelay: options.throttleDelay || 10,
- concurrentTasks: options.concurrentTasks || 1,
- errorCallback: options.errorCallback || defaultError,
- filterCallback: options.filterCallback || testFilters(defaultFilters())
- }
-}
- |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import OpenAI from 'openai' -import { logger } from './index.js' -import { loadConfig } from './config.js' -import { IKBotOptions } from './zod_types.js' - -type RouterType = 'openrouter' | 'openai' | 'deepseek' | 'huggingface' | 'ollama' | 'fireworks' | 'gemini' | 'xai' - -const ROUTER_BASE_URLS: Record<RouterType, string> = { - openrouter: 'https://openrouter.ai/api/v1', - openai: '', // OpenAI uses default URL - deepseek: 'https://api.deepseek.com', - huggingface: 'https://api-inference.huggingface.co', - ollama: 'http://localhost:11434', // Ollama's default local API endpoint - fireworks: 'https://api.fireworks.ai/v1', // Fireworks API endpoint - gemini: 'https://generativelanguage.googleapis.com/v1beta', // Gemini API base URL - xai: 'https://api.x.ai/v1', // XAI (Grok) API base URL -} - -const DEFAULT_MODELS: Record<RouterType, string> = { - openrouter: 'anthropic/claude-3.5-sonnet', - openai: 'gpt-4o', - deepseek: 'deepseek-chat', - huggingface: 'meta-llama/2', - ollama: 'leonard', // Default Ollama model - fireworks: 'llama-v2-70b-chat', // Default Fireworks model - gemini: 'gemini-1.5-pro', // Default Gemini model - xai: 'grok-1' // Default XAI (Grok) model -} -/* - * Creates an OpenAI client instance based on the provided options. - * @param options - Configuration options for the client - * @returns OpenAI client instance or undefined if configuration is invalid - */ -export const createClient = (options: IKBotOptions) => { - const config = loadConfig(options); - if (!config) { - logger.error( - "Config not found in $HOME/.osr/config.json. " + - "Optionally, export OSR_CONFIG with the path to the configuration file." - ); - return undefined; - } - const router: RouterType = (options.router ?? 'openrouter') as RouterType; - - let apiKey = options.api_key; - - if (!apiKey) { - switch (router) { - case 'openrouter': - apiKey = config?.openrouter?.key; - break; - case 'openai': - apiKey = config?.openai?.key; - break; - case 'deepseek': - apiKey = config?.deepseek?.key; - break; - case 'huggingface': - apiKey = config?.huggingface?.key; - break; - case 'ollama': - // Ollama doesn't require an API key when running locally - apiKey = 'ollama'; // Dummy key for Ollama - break; - case 'fireworks': - apiKey = config?.fireworks?.key; - break; - case 'gemini': - apiKey = config?.gemini?.key; - break; - case 'xai': - apiKey = config?.xai?.key; - break; - } - } - - if (!apiKey ) { - logger.error(`No ${router} key found. Please provide an "api_key", set it in the config, or pass it via JSON config.`); - return undefined; - } - - const baseURL = options.baseURL ?? ROUTER_BASE_URLS[router] - - if (!options.model) { - options.model = DEFAULT_MODELS[router] - } - return new OpenAI({ - apiKey, - baseURL, - }) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import path from 'node:path' -import OpenAI from 'openai' - -import { ICollector } from '@polymech/ai-tools' -import { resolve } from '@polymech/commons' -import { RunnableFunctionWithParse } from 'openai/lib/RunnableFunction' - -import { winstonLogger, } from '@polymech/ai-tools' -import { IKBotOptions } from './zod_types.js' -import { getLogger } from './index.js' - -import { ChatCompletion, ChatCompletionMessage, ChatCompletionMessageParam } from 'openai/resources/index.mjs' - -export const collector = (options: IKBotOptions, client: OpenAI): ICollector => { - const loggerIntern = getLogger(options) - return { - //OpenAI - onMessage: (message: ChatCompletionMessageParam) => { - const logFile = path.resolve(path.join(resolve(options.logs), 'openai-message.json')) - const logger = winstonLogger('collector:onMessage', logFile) - logger.info(message) - }, - onToolCall: async (message: ChatCompletionMessage.FunctionCall) => { - const logFile = path.resolve(path.join(resolve(options.logs), 'tool-call.json')) - const logger = winstonLogger('collector:onToolCall', logFile) - try { - const msg = { ...message, arguments: JSON.parse(message.arguments) } - logger.debug(msg) - } catch (e) { - logger.debug(message) - } - }, - onFunctionCallResult: (message: string) => { - const logFile = path.resolve(path.join(resolve(options.logs), 'tool-call-result.json')) - const logger = winstonLogger('collector:onFunctionCallResult', logFile) - try { - const msg = { message: JSON.parse(message) } - logger.debug(msg) - } catch (e) { - logger.debug(message) - } - }, - onChatCompletion: (message: ChatCompletion) => { - const logFile = path.resolve(path.join(resolve(options.logs), 'completion.json')) - const logger = winstonLogger('collector:onChatCompletion', logFile) - logger.debug(message) - }, - onContent: (content: string) => { - const logFile = path.resolve(path.join(resolve(options.logs), 'content.json')) - const logger = winstonLogger('collector:onContent', logFile) - logger.debug(content) - }, - onTool(category, name, args, result) { - const logFile = path.resolve(path.join(resolve(options.logs), 'tool.json')) - const logger = winstonLogger('collector:onTool', logFile) - logger.debug({ category, name, args, result }) - }, - onToolBefore: async (ctx: RunnableFunctionWithParse<any>, args: any) => { - try{ - loggerIntern.debug(`onToolBefore :${ctx.name}`) - }catch(e){ - loggerIntern.error(e) - } - return args - }, - onToolAfter: async (ctx: RunnableFunctionWithParse<any>, args: any, result?: any) => { - try { - loggerIntern.debug(`onToolAfter : ${ctx.name}`) - } catch (e) { - loggerIntern.error(e) - } - return result[0] - } - } -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 -16 -17 -18 -19 -20 -21 -22 -23 -24 -25 -26 -27 -28 -29 -30 -31 -32 -33 -34 -35 -36 -37 -38 -39 -40 -41 -42 -43 -44 -45 -46 -47 -48 -49 -50 -51 -52 -53 -54 -55 -56 -57 -58 -59 -60 -61 -62 -63 -64 -65 -66 -67 -68 -69 -70 -71 -72 -73 -74 -75 -76 -77 -78 -79 -80 -81 -82 -83 -84 -85 -86 -87 -88 -89 -90 -91 -92 -93 -94 -95 -96 -97 -98 -99 -100 -101 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import path from 'node:path' -import { fileURLToPath } from 'node:url' -import { CONFIG_DEFAULT } from '@polymech/commons' - -import { sync as read } from '@polymech/fs/read' -import { sync as write } from '@polymech/fs/write' -import { sync as exists } from '@polymech/fs/exists' - -import { logger } from '../index.js' -import { fetchOpenAIModels } from '../models/openai.js' -import { fetchOpenRouterModels } from '../models/openrouter.js' - -const __dirname = path.dirname(fileURLToPath(import.meta.url)) - -const generateModelEnum = (models: any[], provider: string) => { - const enumName = `E_${provider.toUpperCase()}_MODEL` - const enumContent = `export enum ${enumName} { -${models.map(model => ` MODEL_${model.id.replace(/[^a-zA-Z0-9]/g, '_').toUpperCase()} = "${model.id}"`).join(',\n')} -}` - return enumContent -} - -const generateModelEnumFree = (models: any[], provider: string) => { - const enumName = `E_${provider.toUpperCase()}_MODEL_FREE` - const freeModels = models.filter(model => { - if (!model.pricing) return false - const pricing = model.pricing - return ( - (pricing.prompt === 0 || pricing.prompt === "0") && - (pricing.completion === 0 || pricing.completion === "0") && - (pricing.image === 0 || pricing.image === "0") - ) - }) - const enumContent = `export enum ${enumName} { -${freeModels.map(model => ` MODEL_FREE_${model.id.replace(/[^a-zA-Z0-9]/g, '_').toUpperCase()} = "${model.id}"`).join(',\n')} -}` - return enumContent -} - -const generateModelEnumTools = (models: any[], provider: string) => { - const enumName = `E_${provider.toUpperCase()}_MODEL` - const toolModels = models.filter(model => { - if (!model.top_provider) return false - return model.top_provider.supports_functions === true || - model.top_provider.supports_function_calling === true || - model.top_provider.supports_tools === true - }) - const enumContent = `export enum ${enumName} { -${toolModels.map(model => ` MODEL_TOOLS_${model.id.replace(/[^a-zA-Z0-9]/g, '_').toUpperCase()} = "${model.id}"`).join(',\n')} -}` - return enumContent -} - -export const build = async () => { - const examplesSrc = path.resolve(__dirname, '../../docs_/examples.md') - if(exists(examplesSrc)) { - const examples = read(examplesSrc,'string') || '' - const examplesPath = path.resolve(__dirname, '../src/docs-internal/examples.ts') - write(examplesPath,`export const examples = ${JSON.stringify(examples)}`) - logger.info(`Examples file generated " ${examplesPath}`) - }else{ - logger.error(`Examples file not found ${examplesSrc}`) - } - - const config = CONFIG_DEFAULT() as any - - const modelsOpenAI = await fetchOpenAIModels(config.openai.key) - const modelsOpenRouter = (await fetchOpenRouterModels()).map((model) => { - return { - id: model.id, - name: model.name, - pricing: model.pricing, - context: model.context, - created: model.created, - top_provider: model.top_provider - } - }) - // Generate model enums - const openAIEnumPath = path.resolve(__dirname, '../../src/models/cache/openai-models.ts') - const openRouterEnumPath = path.resolve(__dirname, '../../src/models/cache/openrouter-models.ts') - const openAIEnumFreePath = path.resolve(__dirname, '../../src/models/cache/openai-models-free.ts') - const openRouterEnumFreePath = path.resolve(__dirname, '../../src/models/cache/openrouter-models-free.ts') - const openAIEnumToolsPath = path.resolve(__dirname, '../../src/models/cache/openai-models-tools.ts') - const openRouterEnumToolsPath = path.resolve(__dirname, '../../src/models/cache/openrouter-models-tools.ts') - - write(openAIEnumPath, generateModelEnum(modelsOpenAI, 'OpenAI')) - write(openRouterEnumPath, generateModelEnum(modelsOpenRouter, 'OpenRouter')) - write(openAIEnumFreePath, generateModelEnumFree(modelsOpenAI, 'OpenAI')) - write(openRouterEnumFreePath, generateModelEnumFree(modelsOpenRouter, 'OpenRouter')) - write(openAIEnumToolsPath, generateModelEnumTools(modelsOpenAI, 'OpenAI')) - write(openRouterEnumToolsPath, generateModelEnumTools(modelsOpenRouter, 'OpenRouter')) - logger.info('Model enums generated') - - // Write model data - const modelsOpenAIPath = path.resolve(__dirname, '../src/models/cache/openai.ts') - write(modelsOpenAIPath,`export const models = ${JSON.stringify(modelsOpenAI)}`) - - const modelsOpenRouterPath = path.resolve(__dirname, '../src/models/cache/openrouter.ts') - write(modelsOpenRouterPath,`export const models = ${JSON.stringify(modelsOpenRouter)}`) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 | - - - - - - - - - - - - | import { marked } from 'marked' -import { markedTerminal } from 'marked-terminal' -import { examples as content } from '../docs-internal/examples.js' - -export const examples = () => { - marked.use(markedTerminal( - { - emoji: false, - } - )) - process.stdout.write(marked(content) as string) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import path from 'node:path' -import { sync as write } from '@polymech/fs/write' -import { logger, module_root } from '../index.js' -import { fetchOpenAIModels } from '../models/openai.js' -import { fetchOpenRouterModels } from '../models/openrouter.js' -import { CONFIG_DEFAULT } from '@polymech/commons' - -export const fetch = async () => { - - const config = CONFIG_DEFAULT() as any - if (config.openai && config.openai.key) { - const modelsOpenAI = await fetchOpenAIModels(config.openai.key) - if (modelsOpenAI) { - const modelsOpenAIPath = path.resolve(module_root(), 'openai.json') - write(modelsOpenAIPath, modelsOpenAI) - logger.info(`Fetched ${modelsOpenAI.length} OpenAI models, to ${modelsOpenAIPath}`) - } else { - logger.error(`Failed to fetch OpenAI models`) - } - } - - const modelsOpenRouter = (await fetchOpenRouterModels()).map((model) => { - return { - id: model.id, - name: model.name, - pricing: model.pricing, - context: model.context, - created: model.created - } - }) - const modelsOpenRouterPath = path.resolve(module_root(), 'openrouter.json') - write(modelsOpenRouterPath, modelsOpenRouter) - logger.info(`Fetched ${modelsOpenRouter.length} OpenRouter models, to ${modelsOpenRouterPath}`) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
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Must have at least 12 bytes (4 bytes size + "ftyp" + brand). - * 2. Bytes [4..7] should be "f t y p". - * 3. Bytes [8..11] should match a known brand (e.g., "M4A ", "mp42", "isom"). - * - * @param fileBuffer The raw file data as an ArrayBuffer - * @returns boolean indicating if this is likely an M4A - */ -export function isM4AFile(fileBuffer: ArrayBuffer): boolean { - const byteView = new Uint8Array(fileBuffer); - - // We need at least 12 bytes to check: [0..3] size, [4..7] 'ftyp', [8..11] brand - if (byteView.length < 12) { - return false; - } - - // Check that bytes [4..7] == "ftyp" - if ( - byteView[4] !== FTYP_BOX_HEADER[0] || - byteView[5] !== FTYP_BOX_HEADER[1] || - byteView[6] !== FTYP_BOX_HEADER[2] || - byteView[7] !== FTYP_BOX_HEADER[3] - ) { - return false; - } - - // Extract the 4-byte brand at [8..11] - const brandBytes = byteView.subarray(8, 12); - - // Check if brandBytes matches any known brand - const matchesKnownBrand = M4A_BRANDS.some((brand) => { - return ( - brandBytes[0] === brand[0] && - brandBytes[1] === brand[1] && - brandBytes[2] === brand[2] && - brandBytes[3] === brand[3] - ); - }); - - return matchesKnownBrand; -} - -const createBuffer = (path: string): Buffer | null => { - try { - const buffer = fs.readFileSync(path) - return buffer; - } catch (error) { - console.error('Error creating buffer:', error); - return null; - } -} -const getAudioFileType = (filePath: string | Buffer): { fileName: string; mimeType: string } => { - const ext = typeof filePath === 'string' ? path.extname(filePath).toLowerCase() : null; - if (ext) { - switch (ext) { - case '.mp3': - return { fileName: 'audio.mp3', mimeType: 'audio/mpeg' }; - case '.m4a': - return { fileName: 'audio.m4a', mimeType: 'audio/m4a' }; - case '.wav': - return { fileName: 'audio.wav', mimeType: 'audio/wav' }; - } - } - - // If no ext or not a string (buffer), detect from content - const buffer = Buffer.isBuffer(filePath) ? filePath : fs.readFileSync(filePath as string); - if (isMp3File(buffer)) { - return { fileName: 'audio.mp3', mimeType: 'audio/mpeg' }; - } else if (isM4AFile(buffer)) { - return { fileName: 'audio.m4a', mimeType: 'audio/m4a' }; - } else if (isWavFile(buffer)) { - return { fileName: 'audio.wav', mimeType: 'audio/wav' }; - } - throw new Error('Unsupported audio format'); -}; - -export class AudioHandler extends BaseHandler { - private options: IKBotOptions; - - constructor(options: IKBotOptions) { - super(); - this.options = options; - } - - async canHandle(content: Buffer | string, isPath: boolean): Promise<boolean> { - if (isPath) { - // Check file extension for paths - const ext = path.extname(content as string).toLowerCase(); - return ['.wav', '.mp3', '.m4a'].includes(ext); - } - - // Check content type for buffers - if (!Buffer.isBuffer(content)) return false; - return isMp3File(content) || isWavFile(content) || isM4AFile(content); - } - - async handle(content: Buffer | string, isPath: boolean): Promise<string> { - const client = createClient({...this.options,router: 'openai'}) - if (!client) { - throw new Error('Failed to create OpenAI client for audio transcription'); - } - - try { - - let audioType: { fileName: string; mimeType: string }; - - if (isPath) { - const filePath = content as string; - audioType = getAudioFileType(filePath); - } else { - audioType = getAudioFileType(content as Buffer); - } - - const file = await toFile(createBuffer(content as string), audioType.fileName, { type: audioType.mimeType }); - if (!file) { - logger.error('Error converting source to file'); - throw new Error('Failed to create file for transcription'); - } - - logger.debug(`Transcribing audio content... ${audioType.fileName} : ${audioType.mimeType}`); - const transcription = await client.audio.transcriptions.create({ - file, - model: 'whisper-1', - response_format: "verbose_json", - }); - - if (transcription && transcription.text) { - logger.info('Successfully transcribed audio content'); - return transcription.text; - } else { - throw new Error('No transcription text received from OpenAI'); - } - } catch (error) { - logger.error('Failed to transcribe audio:', (error as Error).message); - throw new Error(`Audio transcription failed: ${(error as Error).message}`); - } - } -} |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 | - - - - - - - - | export interface IHandler {
- canHandle(content: Buffer | string, isPath: boolean): Promise<boolean>;
- handle(content: Buffer | string, isPath: boolean): Promise<string>;
-}
-
-export abstract class BaseHandler implements IHandler {
- abstract canHandle(content: Buffer | string, isPath: boolean): Promise<boolean>;
- abstract handle(content: Buffer | string, isPath: boolean): Promise<string>;
-} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { BaseHandler } from './base-handler.js' -import * as path from 'node:path' -import { sync as read } from '@polymech/fs/read' -import { createClient } from '../../client.js' -import { logger } from '../../index.js' -import { toFile } from 'openai' -import { IKBotOptions } from '../../zod_types.js' - -// Common image file signatures/magic numbers -const IMAGE_SIGNATURES = { - // JPEG/JPG start with FF D8 - JPEG: new Uint8Array([0xFF, 0xD8]), - // PNG start with 89 50 4E 47 0D 0A 1A 0A - PNG: new Uint8Array([0x89, 0x50, 0x4E, 0x47, 0x0D, 0x0A, 0x1A, 0x0A]), - // GIF starts with either GIF87a or GIF89a - GIF87a: new Uint8Array([0x47, 0x49, 0x46, 0x38, 0x37, 0x61]), - GIF89a: new Uint8Array([0x47, 0x49, 0x46, 0x38, 0x39, 0x61]) -}; - -const isImageContent = (buffer: Buffer): boolean => { - if (!buffer || buffer.length < 8) return false; - - // Check JPEG - if (buffer[0] === IMAGE_SIGNATURES.JPEG[0] && buffer[1] === IMAGE_SIGNATURES.JPEG[1]) { - return true; - } - - // Check PNG - if (IMAGE_SIGNATURES.PNG.every((byte, i) => buffer[i] === byte)) { - return true; - } - - // Check GIF - const isGif87a = IMAGE_SIGNATURES.GIF87a.every((byte, i) => buffer[i] === byte); - const isGif89a = IMAGE_SIGNATURES.GIF89a.every((byte, i) => buffer[i] === byte); - if (isGif87a || isGif89a) { - return true; - } - - return false; -}; - -export const getImageType = (filePath: string | Buffer): { fileName: string; mimeType: string } => { - if (typeof filePath === 'string') { - const ext = path.extname(filePath).toLowerCase(); - switch (ext) { - case '.jpg': - case '.jpeg': - return { fileName: 'image.jpg', mimeType: 'image/jpeg' }; - case '.png': - return { fileName: 'image.png', mimeType: 'image/png' }; - case '.gif': - return { fileName: 'image.gif', mimeType: 'image/gif' }; - } - } - - // Detect from content - const buffer = Buffer.isBuffer(filePath) ? filePath : read(filePath as string); - - if (!buffer) throw new Error('Could not read image content'); - - if (buffer[0] === IMAGE_SIGNATURES.JPEG[0] && buffer[1] === IMAGE_SIGNATURES.JPEG[1]) { - return { fileName: 'image.jpg', mimeType: 'image/jpeg' }; - } - if (IMAGE_SIGNATURES.PNG.every((byte, i) => buffer[i] === byte)) { - return { fileName: 'image.png', mimeType: 'image/png' }; - } - if (IMAGE_SIGNATURES.GIF87a.every((byte, i) => buffer[i] === byte) || - IMAGE_SIGNATURES.GIF89a.every((byte, i) => buffer[i] === byte)) { - return { fileName: 'image.gif', mimeType: 'image/gif' }; - } - - throw new Error('Unsupported image format'); -}; - -export class ImageHandler extends BaseHandler { - private options: IKBotOptions; - - constructor(options: IKBotOptions) { - super(); - this.options = options; - } - - async canHandle(content: Buffer | string, isPath: boolean): Promise<boolean> { - try { - if (isPath) { - const ext = path.extname(content as string).toLowerCase(); - return ['.jpg', '.jpeg', '.png', '.gif'].includes(ext); - } - return Buffer.isBuffer(content) && isImageContent(content); - } catch { - return false; - } - } - - async handle(content: Buffer | string, isPath: boolean): Promise<string> { - const client = createClient({...this.options, router: 'openai'}); - if (!client) { - throw new Error('Failed to create OpenAI client for image analysis'); - } - - try { - const imageType = getImageType(content); - const buffer = isPath ? read(content as string) : content as Buffer; - - if (!buffer) { - throw new Error('Failed to read image content'); - } - - const file = await toFile(buffer as Buffer, imageType.fileName, { type: imageType.mimeType }); - if (!file) { - throw new Error('Failed to create file for vision analysis'); - } - - logger.debug(`Analyzing image content... ${imageType.fileName} : ${imageType.mimeType}`); - - const response = await client.chat.completions.create({ - model: 'gpt-4-vision-preview', - messages: [ - { - role: 'user', - content: [ - { type: 'text', text: 'Describe this image in detail, focusing on relevant technical or content aspects:' }, - { type: 'image_url', image_url: { url: `data:${imageType.mimeType};base64,${buffer.toString('base64')}` } } - ], - }, - ], - max_tokens: 1500, - }); - - if (response.choices[0]?.message?.content) { - logger.info('Successfully analyzed image content'); - return response.choices[0].message.content; - } else { - throw new Error('No analysis received from OpenAI'); - } - } catch (error) { - logger.error('Failed to analyze image:', (error as Error).message); - throw new Error(`Image analysis failed: ${(error as Error).message}`); - } - } -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { IHandler } from './base-handler.js' -import { TextHandler } from './text-handler.js' -import { AudioHandler } from './audio-handler.js' -import { ImageHandler } from './image-handler.js' -import { sync as exists } from '@polymech/fs/exists' - -import { IKBotOptions } from '../../zod_types.js' - -export function createHandlers(options: IKBotOptions): IHandler[] { - return [ - new AudioHandler(options), - new ImageHandler(options), - new TextHandler(), - ] -} -export async function detectAndHandle(content: Buffer | string, options: IKBotOptions): Promise<string> { - const handlers = createHandlers(options) - // Check if content is a file path - const contentStr = content.toString(); - if (exists(contentStr)) { - const filePath = path.resolve(contentStr); - for (const handler of handlers) { - if (await handler.canHandle(filePath, true)) { - return handler.handle(filePath, true); - } - } - } - - // Handle as raw content - for (const handler of handlers) { - if (await handler.canHandle(content, false)) { - return handler.handle(content, false); - } - } - throw new Error('No suitable handler found for the input content'); -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { BaseHandler } from './base-handler.js' -import { sync as read } from '@polymech/fs/read' -import * as path from 'node:path' - -export class TextHandler extends BaseHandler { - async canHandle(content: Buffer | string, isPath: boolean): Promise<boolean> { - if (isPath) { - // For file paths, check file extension - const ext = path.extname(content as string).toLowerCase(); - return ['.txt', '.md', '.json', '.js', '.ts'].includes(ext); - } - - // For raw content, try to decode as UTF-8 text - try { - if (Buffer.isBuffer(content)) { - content.toString('utf8'); - } - return true; - } catch { - return false; - } - } - - async handle(content: Buffer | string, isPath: boolean): Promise<string> { - if (isPath) { - // Read content from file - return read(content as string, 'string') as string; - } - - // Return raw content as string - return Buffer.isBuffer(content) ? content.toString('utf8') : content; - } -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { z } from 'zod' -import { marked } from 'marked' -import { markedTerminal } from 'marked-terminal' -import { getDefaultValue, getDescription } from '@polymech/commons' - -import { OptionsSchema } from '../zod_schema.js' - -export const help = () => { - const schema = OptionsSchema() - const desc = schema._def.description - const shape = schema.shape - - const md = [ - '# KBot Command Line Interface', - '', - '```bash', - 'kplus modify [prompt] [options]', - '```', - '', - '## Description', - '', - desc || 'KBot CLI Tool', - '', - '## Options', - '' - ] - - // Process each parameter - for (const [key, def] of Object.entries(shape)) { - const isOptional = def instanceof z.ZodOptional - const defaultValue = getDefaultValue(def as any) - const description = getDescription(def as any) - md.push(`--${key}`) - md.push('') - md.push(`Description: ${description}`) - if (defaultValue !== undefined) { - md.push(`Default: \`${JSON.stringify(defaultValue)}\``) - } - md.push(`Required: ${(!isOptional).toString()}`) - md.push('') - } - - marked.use(markedTerminal({ - emoji: false - })) - const content: string = marked(md.join('\n')) as string; - process.stdout.write(content) - return content -} - -export default async (argv: any) => { - return help() -} - |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { Logger } from 'tslog' -import { sync as dir } from '@polymech/fs/dir' -import { sync as exists } from '@polymech/fs/exists' -import { sync as write } from '@polymech/fs/write' -import { MODULE_NAME } from '../constants.js' -import { IKBotTask } from '@polymech/ai-tools' - -const PREFERENCES_TEMPLATE = `# Personal Preferences - -This file stores personal information and preferences to help the AI assistant provide more personalized and contextual responses. - -## My Preferences - -Gender : -Location : -Language : -Occupation : -Age : - -## Contacts - -My email address : -My wife's email address : -My second wife's email address : - -## Content - -When creating content - -- always Markdown -- always add links to sources -- when searching for news, always add links to videos -` - -const CONFIG_TEMPLATE = { - "deepl": { - "auth_key": "YOUR_DEEPL_AUTH_KEY", - "free_api": false - }, - "scaleserp": { - "key": "YOUR_SCALE_SERP_KEY" - }, - "geocoder": { - "key": "YOUR_GEOCODER_KEY" - }, - "serpapi": { - "key": "YOUR_SERPAPI_KEY" - }, - "openai": { - "key": "YOUR_OPENAI_KEY" - }, - "bigdata": { - "key": "YOUR_BIGDATA_KEY" - }, - "novita": { - "key": "YOUR_NOVITA_KEY" - }, - "perplexity": { - "key": "YOUR_PERPLEXITY_KEY" - }, - "gemini": { - "key": "YOUR_GEMINI_KEY" - }, - "openrouter": { - "key": "YOUR_OPENROUTER_KEY" - }, - "deepseek": { - "key": "YOUR_DEEPSEEK_KEY" - }, - "google": { - "cse": "YOUR_GOOGLE_CSE", - "api_key": "YOUR_GOOGLE_API_KEY" - } -} - -export const init = async (argv: IKBotTask) => { - const logger = new Logger<unknown>({ - hideLogPositionForProduction: true, - maskPlaceholder: '***', - name: MODULE_NAME, - prettyLogTemplate: "{{logLevelName}}\t[{{filePathWithLine}}{{name}}]\t", - }) - const kbotDir = path.resolve(path.join(process.cwd(), `.${MODULE_NAME}`)) - if (!exists(kbotDir)) { - dir(kbotDir) - } - // Create preferences file if it doesn't exist - const preferencesPath = path.resolve(kbotDir, 'preferences.md') - if (!exists(preferencesPath)) { - write(preferencesPath, PREFERENCES_TEMPLATE) - logger.info(`📋 Created preferences file: ${preferencesPath}`) - }else{ - logger.info(`📋 Preferences file already exists: ${preferencesPath}`) - } - - // Create config file if it doesn't exist - const configPath = path.resolve(kbotDir, 'config.json') - if (!exists(configPath)) { - write(configPath, CONFIG_TEMPLATE) - logger.info(`📋 Created configuration file: ${configPath}`) - }else{ - logger.info(`📋 Configuration file already exists: ${configPath}`) - } - logger.info('📋 Initialization complete!') - return 0 -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | // src/markdown-blessed.ts - -import * as blessed from 'blessed' -import { marked, Tokens } from 'marked' -/** - * Define a custom renderer where the `image` method - * uses Marked's new signature: image({ href, title, text }: Tokens.Image). - */ -const customRenderer = { - image({ href, title, text }: Tokens.Image): string { - // Provide a textual placeholder instead of an actual image - return `\n[IMAGE: ${text || 'No Alt'}](${href || 'No Href'})\n`; - }, - // (Optional) you can override other renderer methods here -}; - -// We tell Marked to use our custom renderer -// Alternatively, you can pass { renderer: customRenderer } directly to marked(). -marked.use({ renderer: customRenderer }); - -/** - * Renders the given Markdown string in a Blessed terminal UI. - * - * @param markdownContent - The Markdown content to display. - */ -export function displayMarkdown(markdownContent: string): void { - // 1) Create Blessed screen - const screen = blessed.screen({ - smartCSR: true, - title: 'Markdown Example with Blessed' - }); - - // 2) Create a scrollable box for the text - const box = blessed.box({ - parent: screen, - top: 'center', - left: 'center', - width: '100%', - height: '100%', - keys: true, - vi: true, - mouse: true, - border: 'none', - alwaysScroll: true, - scrollable: true - }); - - // 3) Parse the markdown into a string using our renderer - const parsedContent = marked(markdownContent); - - // 4) Set the box content - box.setContent(parsedContent); - - // 5) Focus and render - box.focus(); - screen.render(); - -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import * as fs from 'node:fs' - -import OpenAI from 'openai' - -import { IKBotTask } from '@polymech/ai-tools' - -import { logger } from '../index.js' -import { onCompletion } from './run-completion.js' -import { glob } from '../source.js' -import { prompt } from '../prompt.js' - -export const supported: Record<string, string> = { - ".c": "text/x-c", - ".cpp": "text/x-c++", - ".cs": "text/x-csharp", - ".css": "text/css", - ".doc": "application/msword", - ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - ".go": "text/x-golang", - ".html": "text/html", - ".java": "text/x-java", - ".js": "text/javascript", - ".json": "application/json", - ".md": "text/markdown", - ".pdf": "application/pdf", - ".php": "text/x-php", - ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", - ".py": "text/x-python", // sometimes text/x-script.python - ".rb": "text/x-ruby", - ".sh": "application/x-sh", - ".tex": "text/x-tex", - ".ts": "application/typescript", - ".txt": "text/plain" -}; - -export const createOpenAIFile = async (client: OpenAI, filePath: string, purpose: string = 'assistants') => { - return client.files.create({ - file: fs.createReadStream(filePath), - purpose: purpose as any - }) -} -/* -class EventHandler extends EventEmitter { - constructor(client) { - super(); - // this.client = client; - } - - async onEvent(event) { - try { - console.log(event); - // Retrieve events that are denoted with 'requires_action' - // since these will have our tool_calls - if (event.event === "thread.run.requires_action") { - await this.handleRequiresAction( - event.data, - event.data.id, - event.data.thread_id, - ); - } - } catch (error) { - console.error("Error handling event:", error); - } - } - - async handleRequiresAction(data, runId, threadId) { - try { - const toolOutputs = - data.required_action.submit_tool_outputs.tool_calls.map((toolCall) => { - if (toolCall.function.name === "getCurrentTemperature") { - return { - tool_call_id: toolCall.id, - output: "57", - }; - } else if (toolCall.function.name === "getRainProbability") { - return { - tool_call_id: toolCall.id, - output: "0.06", - }; - } - }); - // Submit all the tool outputs at the same time - await this.submitToolOutputs(toolOutputs, runId, threadId); - } catch (error) { - console.error("Error processing required action:", error); - } - } - - async submitToolOutputs(toolOutputs, runId, threadId) { - try { - // Use the submitToolOutputsStream helper - const stream = this.client.beta.threads.runs.submitToolOutputsStream( - threadId, - runId, - { tool_outputs: toolOutputs }, - ); - for await (const event of stream) { - this.emit("event", event); - } - } catch (error) { - console.error("Error submitting tool outputs:", error); - } - } -} -*/ -export const runAssistant = async (client: OpenAI, params: any, options: IKBotTask) => { - const sessionId = Date.now().toString() - const sessionMessages = { - sessionId, - prompt: options.prompt, - timestamp: new Date().toISOString(), - messages: [] - } - - if (options.dry) { - logger.info('Dry run - skipping API call') - return { - result: 'DRY RUN', - sessionMessages, - result_raw: {}, - toolCalls: [] - } - } - const logMessage = (message: any, sessionId: string, prompt) => { - return { - ...message, - timestamp: new Date().toISOString(), - sessionId, - prompt - } - } - let result = null - const prompt_ = await prompt(options) - const assistant = await client.beta.assistants.create({ - name: "Documents Assistant", - model: params.model, - tools: [{ type: "file_search" }, ...params.tools], - }) - - const { files } = glob(path.resolve(options.path), options.include) || { files: [], webUrls: new Set<string>() } - const filesToProcess = files.filter((f) => path.extname(f) in supported) - - const attachments = await Promise.all(filesToProcess.map(async (file: string) => { - const file_id = await createOpenAIFile(client, file) - return { - file_id: file_id.id, - tools: [{ type: "file_search" }] - } - })) - - const thread = await client.beta.threads.create({ - messages: [ - { - role: "user", - content: prompt_.content, - attachments: attachments as any, - } - ] as any, - }) - - let defer - try { - defer = new Promise((resolve, reject) => { - const stream = client.beta.threads.runs - .stream(thread.id, { - assistant_id: assistant.id, - }) - //.on("textCreated", (args) => logger.trace("assistant >",args)) - .on("toolCallCreated", (event) => logger.debug("Assistant : " + event.type)) - .on("messageDone", async (event) => { - if (event.content[0].type === "text") { - resolve(event.content[0]) - } - }) - return stream - }) - } catch (e) { - logger.error(`Failed to run assistant: ${e.message}`, e.message) - } - const ret = await defer - return await onCompletion(ret.text.value, options) -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import OpenAI from 'openai' -import { marked } from 'marked' -import { markedTerminal } from 'marked-terminal' -import * as path from 'node:path' -import { sync as write } from '@polymech/fs/write' -import { resolve } from '@polymech/commons' -import { IKBotTask } from '@polymech/ai-tools' - -import { dumpAsScript } from '../utils/script.js' -import { applyFilters, Filter } from '../filters.js' -import { variables } from '../variables.js' - -export const onCompletion = async (result: any = "", options: IKBotTask) => { - result = applyFilters(result, options.filters as Filter[] || []) - let vars = variables(options) - if (options.dst) { - vars = { - ...vars, - MODEL: path.parse(options.model).name, - ROUTER: options.router, - } - const dstPath = path.resolve(resolve(options.dst, false, vars)) - write(dstPath, result) - options.logger.debug(`Wrote completion result to ${dstPath} : ${options.dst}`) - } else { - marked.use(markedTerminal({ - emoji: false, - })) - const content: string = marked(result) as string; - process.stdout.write(content) - } - dumpAsScript(options) - // process.exit(0) - return result -} - -export const runCompletion = async (client: OpenAI, params: any, options: IKBotTask) => { - if (options.dry) { - options.logger.info('Dry run - skipping API call') - return false - } - // await client.beta.chat.completions.parse - const completion = await client.chat.completions.create({ - model: options.model, - messages: params.messages, - response_format: options.format as any, - }) - if (!completion || !completion.choices || !completion.choices[0] || !completion.choices[0].message || !completion.choices[0].message.content) { - return '' - } - let result = completion.choices[0].message.content - result = await onCompletion(result, options) - return result -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import OpenAI from 'openai' -import { ChatCompletionMessage, ChatCompletionMessageParam } from 'openai/resources/index.mjs' -import { ChatCompletionToolRunnerParams } from 'openai/lib/ChatCompletionRunner' - -import { IKBotTask, ICollector } from '@polymech/ai-tools' - -import { content } from '../utils/content.js' -import { onCompletion } from './run-completion.js' - -export const runTools = async (client: OpenAI, params: any, options: IKBotTask) => { - const sessionId = Date.now().toString() - const sessionMessages = { - sessionId, - prompt: options.prompt, - timestamp: new Date().toISOString(), - messages: [] - } - if (options.dry) { - options.logger.info('Dry run - skipping API call') - return { - result: 'DRY RUN', - sessionMessages, - result_raw: {}, - toolCalls: [] - } - } - const logMessage = (message: any, sessionId: string, prompt) => { - return { - ...message, - timestamp: new Date().toISOString(), - sessionId, - prompt - } - } - let runner = null - try { - runner = await client.beta.chat.completions.runTools(params as ChatCompletionToolRunnerParams<any>) - .on('message', (message: ChatCompletionMessageParam) => { - (options.collector as ICollector).onMessage(logMessage(message, sessionId, options.prompt)) - }) - .on('functionCall', (tool: ChatCompletionMessage.FunctionCall) => { - return (options.collector as ICollector).onToolCall(logMessage(tool, sessionId, options.prompt)) - }) - .on('functionCallResult', (a) => { - (options.collector as ICollector).onFunctionCallResult(a) - }) - .on('chatCompletion', (options.collector as ICollector).onChatCompletion) - .on('content', (options.collector as ICollector).onContent) - } catch (e) { - options.logger.trace(e) - } - - let result = content(runner) - try { - result = await runner.finalChatCompletion() - } catch (error) { - if (error.message.includes("(reading 'map')")) { - options.logger.error('Failed to complete runner: credits :)', error.message, error.message, error) - return - } - options.logger.error('Failed to complete runner:', error.message, error.issues) - return - } - const ret = content(result) - return await onCompletion(ret, options) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
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await loadProfile(opts) : {} - - try { - const parsed = OptionsSchema().parse(opts); - const options = parsed as IKBotTask; - - const client = createClient(options) - if (!client) { - opts.logger.error('Failed to create client') - return null - } - - options.client = client - options.variables = { ...options.variables, ...variables(options) } - options.collector = collector(options, client) - options.onRun = options.onRun || (async (options) => options) - - return options - } catch (error) { - opts.logger.error('Failed to parse options:', error.message, error.issues) - return null - } -} - -/** - * Gather all messages from various sources for the task - * - * @param opts - The task options - * @param options - The completed options - * @returns - Array of messages and source files - */ -export const complete_messages = async ( - opts: IKBotTask, - options: IKBotTask -): Promise<{ - messages: Array<ChatCompletionMessageParam>, - files: any[] -}> => { - let messages: Array<ChatCompletionMessageParam> = [] - - const promptMessage = await prompt(opts) - if (!promptMessage?.content) { - return { messages: [], files: [] } - } - - messages.push(promptMessage as ChatCompletionMessageParam) - messages.push((await preferences(opts)) as ChatCompletionMessageParam) - - // Get content from files and web URLs - let files = await get(path.resolve(options.path || '.'), options.include, options) || [] - files = files.map(f => { return { ...f, role: 'user' } }) - messages = [...messages as Array<ChatCompletionMessageParam>, ...files] - - return { messages, files } -} - -/** - * Create and configure the parameters for the request - * - * @param options - The completed options - * @param messages - The gathered messages - * @returns - The configured parameters for the API request - */ -export const complete_params = async ( - options: IKBotTask, - messages: Array<ChatCompletionMessageParam> -): Promise<ChatCompletionToolRunnerParams<any>> => { - const params = { - model: options.model, - messages, - tools: [] - } as ChatCompletionToolRunnerParams<any> - - if (options.mode === E_Mode.TOOLS || options.mode === E_Mode.ASSISTANT) { - params.tools = await loadTools(options) - params.tool_choice = 'auto' - params.parallel_tool_calls = false - } - - return params -} - -/** - * Execute the request based on the mode and return the result - * - * @param options - The completed options - * @param client - The API client - * @param params - The request parameters - * @returns - The result of the execution - */ -export const execute_request = async ( - options: IKBotTask, - client: any, - params: ChatCompletionToolRunnerParams<any> -): Promise<ProcessRunResult> => { - let ret: any = null - - try { - switch (options.mode) { - case E_Mode.COMPLETION: - ret = await runCompletion(client, params, options) - break - - case E_Mode.TOOLS: - ret = await runTools(client, params, options) - break - - case E_Mode.ASSISTANT: - ret = await runAssistant(client, params, options) - break - - default: - throw new Error(`Unsupported mode: ${options.mode}`) - } - } catch (e) { - options.logger?.error(`Error running ${options.mode} mode: ${e.message}`) - } - - return ret -} - -/** - * Process a task with the configured options and return the result - * - * @param opts - The task options - * @returns - The result of the task execution - */ -export const processRun = async (opts: IKBotTask): Promise<ProcessRunResult> => { - let options = await complete_options(opts) - if (!options) { - return null - } - - const client = options.client - - const { messages, files } = await complete_messages(opts, options) - if (messages.length === 0) { - return "" - } - - const params = await complete_params(options, messages) - - const logDir = path.resolve(resolve(opts.logs || './logs')) - const paramsPath = path.join(logDir, 'params.json') - write(paramsPath, JSON.stringify({ ...params }, null, 2)) - if (opts.mode === E_Mode.TOOLS) { - options.logger.debug(`kbot run ${options.mode} : ${options.model} @ ${options.router} : ${files.length} files from project ${path.resolve(options.path || '.')} with ${options.include}`, files.map(f => f.path), params.tools.map(t => `${t.function.name} : ${t.function.description}`)) - } else { - options.logger.debug(`kbot run ${options.mode} : ${options.model} @ ${options.router} : ${files.length} files from project ${path.resolve(options.path || '.')} with ${options.include}`, files.map(f => f.path)) - } - options = await options.onRun(options) || options - const ret = await execute_request(options, client, params) - return ret -} - -/** - * Extract file paths (Windows or POSIX style) from a single string, - * preserving any spaces within the paths. Needed for Salamand File Manager selections (eg: kbot "summarize, as json" -i "$(ListOfSelectedFullNames)") - * - For Windows, it looks for patterns like "C:\" (any drive letter). - * - For POSIX, it looks for a leading slash "/". - * - For web URLs, it looks for patterns like "http://" or "https://". - * - * Returns an array of path strings. If no matches are found, returns []. - * - */ -function extractPaths(input: string): string[] { - // If it's a web URL, return it - if (isWebUrl(input)) { - return [input] - } - - // If it's a direct path that exists, return it - if (exists(path.resolve(resolve(input)))) { - return [input] - } - - // If it's a glob pattern, return it as is - if (hasMagic(input)) { - return [input] - } - - // Matches either a Windows drive pattern like "C:\", a forward slash "/", or http/https URLs - const pathStartRegex = /([A-Za-z]:\\)|\/|(https?:\/\/)/g; - - const matchIndices: number[] = []; - let match: RegExpExecArray | null; - - // Collect the start index of each path - while ((match = pathStartRegex.exec(input)) !== null) { - matchIndices.push(match.index); - } - - // If none found, return empty - if (!matchIndices.length) { - return []; - } - - // Slice from each index to just before the next - const paths: string[] = []; - for (let i = 0; i < matchIndices.length; i++) { - const start = matchIndices[i]; - const end = i < matchIndices.length - 1 ? matchIndices[i + 1] : input.length; - const path = input.substring(start, end).trim(); - if (path) { - paths.push(path); - } - } - - return paths; -} - -function flattenArrays<T>(arrays: T[][]): T[] { - return arrays.reduce((accumulator, current) => { - return accumulator.concat(current); - }, [] as T[]); -} - -export const run = async (opts: IKBotTask): Promise<ProcessRunResult[]> => { - const ret: ProcessRunResult[] = [] - const logger = new Logger<ILogObj>({ minLevel: opts.logLevel || 2 }) - opts.logger = logger - - if (opts.include) { - if (isString(opts.include)) { - opts.include = [opts.include] - } - if (isArray(opts.include)) { - // First check for glob patterns and web URLs - const specialPatterns = opts.include.filter((path: string) => hasMagic(path) || isWebUrl(path)) - // Then process normal paths - const normalPaths = opts.include.filter((path: string) => !hasMagic(path) && !isWebUrl(path)) - const processedPaths = flattenArrays(normalPaths.map(extractPaths)) - // Combine special patterns and processed paths - opts.include = [...specialPatterns, ...processedPaths] - } - } else { - opts.include = [] - } - if (opts.each) { - let items: string[] = [] - if (isArray(opts.each)) { - items = opts.each - } else if (exists(opts.each) && isFile(opts.each) && path.parse(opts.each).ext === '.json') { - items = read(opts.each, 'json') as [] || [] - } else if (hasMagic(opts.each)) { - const info = pathInfoEx(forward_slash(path.resolve(resolve(opts.each)))) - items = info.FILES - } else if (isFile(opts.each) && exists(opts.each)) { - items = [opts.each] - } else if (isString(opts.each)) { - items = opts.each.split(',') - } - if (items.length === 0) { - opts.logger.warn(`No files matching pattern ${opts.each} found in ${opts.path}`) - return ret - } - opts.logger.info(`Processing ${items.length} items matching pattern ${opts.each}...`) - const _models = all() - for (const item of items) { - const itemOpts = { - ...opts, - ITEM: item, - variables: { ITEM: item } - } - //override model if item is a model id - const model = _models.find(m => m.id === item) - if (model) { - itemOpts.model = item - } - itemOpts.include = [...opts.include, ...[forward_slash(item)]] - const result = await processRun(itemOpts) - if (result !== undefined) { - ret.push(result) - } - } - } else { - const result = await processRun(opts) - if (result !== undefined) { - ret.push(result) - } - } - return ret -} - |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { CONFIG_DEFAULT, resolve } from '@polymech/commons' -import { sync as exists } from '@polymech/fs/exists' -import { sync as read } from '@polymech/fs/read' -import { IKBotOptions } from './zod_types.js' -import { logger } from './index.js' -import { env_vars } from './utils/env.js' - -export const loadConfig = (options: IKBotOptions) => { - if (options.config) { - try { - const configPath = path.resolve(resolve(options.config,false,env_vars())) - if ( exists(configPath) ) { - const parsedConfig = read(configPath,'json') - return parsedConfig - }else{ - logger.error(`Config file not found: ${configPath}`) - } - } catch (error:any) { - logger.error(`Failed to parse config JSON: ${error.message}`) - } - }else{ - const config = CONFIG_DEFAULT() as any - return config - } -} - - - |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 | - - - - - - - - - - - - - - | export const MODULE_NAME = 'kbot' -export const EXCLUDE_GLOB = [ - "**/node_modules/**", - "**/dist/**", - "**/build/**", - "**/coverage/**", - "*.log", - `.${MODULE_NAME}`, - ".git" -] -export const MAX_FILE_SIZE = 1024 * 1024 * 2 -export const API_PREFIX = 'osr' -export const PREFERENCES_FILE_NAME = 'preferences.md' -export const LOGGING_DIRECTORY = `.${MODULE_NAME}` - |
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-import * as path from 'path'; -import type { IKBotTask } from '@polymech/ai-tools'; -import { E_OPENROUTER_MODEL } from '../../models/cache/openrouter-models.js' -import { E_Mode } from '../../zod_schema.js' - -const MODEL = E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA; -const ROUTER = 'openrouter'; -const LOG_LEVEL = 2; - -let logger = { - info: (message: string) => console.log(`INFO: ${message}`), - warn: (message: string) => console.log(`WARN: ${message}`), - error: (message: string) => console.error(`ERROR: ${message}`), - debug: (message: string) => console.log(`DEBUG: ${message}`), - trace: (message: string) => console.log(`TRACE: ${message}`) -}; - -import { - AsyncTransformer -} from '../../async-iterator.js'; - -import { - FieldMapping, - createIterator -} from '../../iterator.js'; - -import { run } from '../../commands/run.js'; - -const exampleData = { - products: { - fruits: [ - { - id: 'f1', - name: 'apple', - description: 'A sweet and crunchy fruit', - details: { - color: 'red', - origin: 'Worldwide', - nutrition: 'Rich in fiber and vitamin C' - } - }, - { - id: 'f2', - name: 'banana', - description: 'A yellow tropical fruit', - details: { - color: 'yellow', - origin: 'Southeast Asia', - nutrition: 'High in potassium' - } - } - ], - vegetables: [ - { - id: 'v1', - name: 'carrot', - description: 'An orange root vegetable', - details: { - color: 'orange', - origin: 'Eurasia', - nutrition: 'Good for vision health' - } - }, - { - id: 'v2', - name: 'broccoli', - description: 'A green cruciferous vegetable', - details: { - color: 'green', - origin: 'Italy', - nutrition: 'High in vitamins K and C' - } - } - ] - }, - metadata: { - lastUpdated: '2023-04-15', - source: 'Foods Database', - description: 'Collection of common fruits and vegetables' - } -}; - -const createLLMTransformer = (options: IKBotTask): AsyncTransformer => { - return async (input: string, jsonPath: string): Promise<string> => { - logger.info(`Transforming field at path: ${jsonPath}`); - logger.info(`Input: ${input}`); - logger.info(`Using prompt: ${options.prompt}`); - - const kbotTask: IKBotTask = { - model: options.model || MODEL, - router: ROUTER, - prompt: `${options.prompt}\n\nText to transform: "${input}"`, - logLevel: LOG_LEVEL, - mode: E_Mode.COMPLETION - }; - - try { - const results = await run(kbotTask); - - if (results && results.length > 0 && typeof results[0] === 'string') { - const result = results[0].trim(); - logger.info(`Result: ${result}`); - return result; - } - - logger.warn(`No valid result received for ${jsonPath}, returning original`); - return input; - } catch (error) { - console.error(`Error calling LLM API: ${error.message}`, error); - return input; - } - }; -}; - -export async function transformExample() { - console.log("========================================"); - console.log("Starting async-iterator example transformation"); - console.log("========================================"); - - try { - const data = JSON.parse(JSON.stringify(exampleData)); - logger.info("Starting transformation of data fields with LLM..."); - console.log("Processing field mappings..."); - - // Create error handler - const errorCallback = (path: string, value: string, error: any) => { - logger.error(`Error transforming ${path}: ${error.message}`); - }; - - // Global options for all transformations - const globalOptionsMixin: Partial<IKBotTask> = { - model: MODEL, - router: ROUTER, - logLevel: LOG_LEVEL, - mode: E_Mode.COMPLETION - }; - - // Create an iterator factory instance - const iterator = createIterator( - data, - globalOptionsMixin, - { - throttleDelay: 1000, - concurrentTasks: 1, - errorCallback, - filterCallback: async () => true, - transformerFactory: createLLMTransformer - } - ); - - // Define simplified field mappings without redundant options - const simplifiedMappings: FieldMapping[] = [ - { - jsonPath: '$..description', - targetPath: null, - options: { - prompt: 'Make this description more engaging and detailed, around 20-30 words' - } - }, - { - jsonPath: '$..nutrition', - targetPath: null, - options: { - prompt: 'Expand this nutrition information with 2-3 specific health benefits, around 25-35 words' - } - }, - { - jsonPath: '$.products.*.*.name', - targetPath: 'marketingName', - options: { - prompt: 'Generate a more appealing marketing name for this product' - } - } - ]; - - // Use the iterator to transform the data - await iterator.transform(simplifiedMappings); - - const outputPath = path.resolve('./tests/test-data/core/async-iterator-data.json'); - write(outputPath, JSON.stringify(data, null, 2)); - - console.log(`Transformation complete. Results saved to ${outputPath}`); - logger.info(`Transformation complete. Results saved to ${outputPath}`); - - console.log("\nBefore/After Comparison Example:"); - console.log(`Original description: ${exampleData.products.fruits[0].description}`); - console.log(`Transformed description: ${data.products.fruits[0].description}`); - console.log(`Original name: ${exampleData.products.fruits[0].name}`); - console.log(`New marketing name: ${data.products.fruits[0].marketingName}`); - - logger.info("\nBefore/After Comparison Example:"); - logger.info(`Original description: ${exampleData.products.fruits[0].description}`); - logger.info(`Transformed description: ${data.products.fruits[0].description}`); - logger.info(`Original name: ${exampleData.products.fruits[0].name}`); - logger.info(`New marketing name: ${data.products.fruits[0].marketingName}`); - - return data; - } catch (error) { - console.error("ERROR during transformation:", error); - logger.error(`Error during transformation: ${error.message}`); - throw error; - } -} - -console.log("Module loading, checking if this is direct execution"); -console.log("process.argv[1]:", process.argv[1]); -console.log("import.meta.url:", import.meta.url); - -const isDirectExecution = process.argv[1] && process.argv[1].includes('async-iterator-example'); -console.log("Is direct execution:", isDirectExecution); - -if (isDirectExecution) { - const isDebug = process.argv.includes('--debug'); - console.log('Starting async-iterator example...'); - console.log(`Command arguments: ${process.argv.slice(2).join(', ')}`); - console.log(`Debug mode: ${isDebug ? 'enabled' : 'disabled'}`); - - if (isDebug) { - logger = { - info: (message) => console.log(`DEBUG-INFO: ${message}`), - warn: (message) => console.log(`DEBUG-WARN: ${message}`), - error: (message) => console.error(`DEBUG-ERROR: ${message}`), - debug: (message) => console.log(`DEBUG-DEBUG: ${message}`), - trace: (message) => console.log(`DEBUG-TRACE: ${message}`) - }; - logger.info("Running in debug mode with verbose output"); - } - - transformExample().catch(error => { - console.error("Unhandled error:", error); - }); -} - -export { - createLLMTransformer, - exampleData -}; |
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-import * as path from 'path'; -import type { IKBotTask } from '@polymech/ai-tools'; -import { E_OPENROUTER_MODEL } from '../../models/cache/openrouter-models.js'; -import { E_Mode } from '../../zod_schema.js'; -import { AsyncTransformer } from '../../async-iterator.js'; -import { FieldMapping, createIterator } from '../../iterator.js'; -import { run } from '../../commands/run.js'; - -const MODEL = E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA; -const ROUTER = 'openrouter'; -const LOG_LEVEL = 2; - -const logger = { - info: (message: string) => console.log(`INFO: ${message}`), - warn: (message: string) => console.log(`WARN: ${message}`), - error: (message: string) => console.error(`ERROR: ${message}`), - debug: (message: string) => console.log(`DEBUG: ${message}`), - trace: (message: string) => console.log(`TRACE: ${message}`) -}; - -// Example data with products -const exampleData = { - products: { - fruits: [ - { - id: 'f1', - name: 'apple', - description: 'A sweet and crunchy fruit', - details: { - color: 'red', - origin: 'Worldwide', - nutrition: 'Rich in fiber and vitamin C' - } - }, - { - id: 'f2', - name: 'banana', - description: 'A yellow tropical fruit', - details: { - color: 'yellow', - origin: 'Southeast Asia', - nutrition: 'High in potassium' - } - } - ] - } -}; - -// Field mappings definition -const fieldMappings: FieldMapping[] = [ - { - jsonPath: '$..description', - targetPath: null, - options: { - prompt: 'Make this description more engaging and detailed, around 20-30 words' - } - }, - { - jsonPath: '$..nutrition', - targetPath: null, - options: { - prompt: 'Expand this nutrition information with 2-3 specific health benefits, around 25-35 words' - } - }, - { - jsonPath: '$..name', - targetPath: 'marketingName', - options: { - prompt: 'Generate a more appealing marketing name for this product' - } - } -]; - -// Create LLM transformer factory -const createLLMTransformer = (options: IKBotTask): AsyncTransformer => { - return async (input: string, jsonPath: string): Promise<string> => { - logger.info(`Transforming field at path: ${jsonPath}`); - logger.info(`Input: ${input}`); - logger.info(`Using prompt: ${options.prompt}`); - - const kbotTask: IKBotTask = { - ...options, - prompt: `${options.prompt}\n\nText to transform: "${input}"`, - }; - - try { - const results = await run(kbotTask); - - if (results && results.length > 0 && typeof results[0] === 'string') { - const result = results[0].trim(); - logger.info(`Result: ${result}`); - return result; - } - - logger.warn(`No valid result received for ${jsonPath}, returning original`); - return input; - } catch (error) { - console.error(`Error calling LLM API: ${error.message}`, error); - return input; - } - }; -}; - -// Error handler -const errorCallback = (path: string, value: string, error: any) => { - logger.error(`Error transforming ${path}: ${error.message}`); -}; - -export async function factoryExample() { - console.log("========================================"); - console.log("Starting iterator factory example"); - console.log("========================================"); - - try { - const data = JSON.parse(JSON.stringify(exampleData)); - - // Global options for all transformations - const globalOptionsMixin: Partial<IKBotTask> = { - model: MODEL, - router: ROUTER, - logLevel: LOG_LEVEL, - mode: E_Mode.COMPLETION - }; - - // Create an iterator factory instance - const iterator = createIterator( - data, - globalOptionsMixin, - { - throttleDelay: 1000, - concurrentTasks: 1, - errorCallback, - filterCallback: async () => true, - transformerFactory: createLLMTransformer - } - ); - - // Use the iterator to transform the data - await iterator.transform(fieldMappings); - - const outputPath = path.resolve('./tests/test-data/core/iterator-factory-data.json'); - write(outputPath, JSON.stringify(data, null, 2)); - - console.log(`Transformation complete. Results saved to ${outputPath}`); - - console.log("\nBefore/After Comparison Example:"); - console.log(`Original description: ${exampleData.products.fruits[0].description}`); - console.log(`Transformed description: ${data.products.fruits[0].description}`); - console.log(`Original name: ${exampleData.products.fruits[0].name}`); - console.log(`New marketing name: ${data.products.fruits[0].marketingName}`); - - return data; - } catch (error) { - console.error("ERROR during transformation:", error); - throw error; - } -} - -console.log("Module loading, checking if this is direct execution"); -console.log("process.argv[1]:", process.argv[1]); -console.log("import.meta.url:", import.meta.url); - -const isDirectExecution = process.argv[1] && process.argv[1].includes('iterator-factory-example'); -console.log("Is direct execution:", isDirectExecution); - -if (isDirectExecution) { - const isDebug = process.argv.includes('--debug'); - console.log('Starting iterator factory example...'); - console.log(`Command arguments: ${process.argv.slice(2).join(', ')}`); - console.log(`Debug mode: ${isDebug ? 'enabled' : 'disabled'}`); - - if (isDebug) { - // Set up debug logging - console.log("Running in debug mode with verbose output"); - } - - factoryExample().catch(error => { - console.error("Unhandled error:", error); - }); -} |
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- -| 1 -2 -3 | - - | // Export examples -export * from './core/async-iterator-example.js'; -export * from './core/iterator-factory-example.js'; |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { isString } from '@polymech/core/primitives' -import { logger } from './index.js' - -export type Filter = (json: string) => any - -export const extractFirstCodeBlock = (markdown: string): string | null => { - const regex = /```(\w+\n)?([\s\S]*?)```/ - const match = regex.exec(markdown) - if (match && match[2]) { - return match[2].trim() - } - return markdown -} - -export const extractCodeBlocks = (markdown: string): string => { - const codeBlocks: string[] = [] - const regex = /```([\s\S]*?)```/g - let match - while ((match = regex.exec(markdown)) !== null) { - codeBlocks.push(match[1]) - } - return codeBlocks[0] -} -function isEscapedJsonString(input: string): boolean { - if (typeof input !== 'string' || !input.startsWith('"') || !input.endsWith('"')) { - return false; - } - - try { - const ret = JSON.parse(input) - return false - } catch (error) { - return true; - } -} -const unescapeJsonString = (json: string): string => { - if (isEscapedJsonString(json)) { - return json - } - // Use regex to replace common escape sequences - const unescapedString = json - .replace(/\\n/g, '\n') - .replace(/\\"/g, '"') - .replace(/\\\\/g, '\\') - .replace(/(\")/g, "\"") - .replace(/\\b/g, '\b') - .replace(/\\f/g, '\f') - .replace(/\\r/g, '\r') - .replace(/\\t/g, '\t'); - - // Handle unicode escape sequences (\uXXXX) - return unescapedString.replace(/\\u([\d\w]{4})/gi, (match, grp) => { - return String.fromCharCode(parseInt(grp, 16)); - }); -} - -const alphanumericSort = (arr: string[]) => { - arr = isString(arr) ? JSON.parse(arr) : arr - return JSON.stringify(arr.sort((a, b) => { - const aParts = a.match(/(\d+)|(\D+)/g) || []; - const bParts = b.match(/(\d+)|(\D+)/g) || []; - - for (let i = 0; i < Math.min(aParts.length, bParts.length); i++) { - const aPart = aParts[i]; - const bPart = bParts[i]; - - if (isNaN(parseInt(aPart, 10)) || isNaN(parseInt(bPart, 10))) { - // Non-numeric parts, compare as strings - if (aPart !== bPart) { - return aPart < bPart ? -1 : 1; - } - } else { - // Numeric parts, compare as numbers - const aNum = parseInt(aPart, 10); - const bNum = parseInt(bPart, 10); - if (aNum !== bNum) { - return aNum - bNum; - } - } - } - - // If everything else is equal, compare by length (shorter first) - return aParts.length - bParts.length; - }), null, 2) -} - -export const JSONParse = (json: string) => { - try { - return JSON.parse(json) - } catch (error) { - return null - } -} -export const trim = (str: string) => str ? str.trim() : null -export const extractJsonCodeBlock = (markdown: string): string | null => { - const regex = /```json([\s\S]*?)```/g - const match = regex.exec(markdown) - let ret = match ? match[1] : '{}' - try { - return JSON.stringify(JSON.parse(ret), null, 2) - } catch (error) { - return ret - } -} -const JSONPretty = (json: string) => { - return JSON.stringify(JSON.parse(json), null, 2) -} - -export const Filters = { - JSON: extractJsonCodeBlock, - JSONUnescape: unescapeJsonString, - JSONPretty, - AlphaSort: alphanumericSort, - code: extractFirstCodeBlock, - JSONParse, - trim -} - -export const applyFilters = (value: string, filters: Filter[]) => { - if (!value) { - return '' - } - (filters as Filter[]).forEach((f) => { - try { - let _ret = f(value) - if (_ret) { - value = _ret - } else { - logger.warn(`applyFilters: filter returned null : ${value}`, f.toString()) - } - } catch (error) { - logger.error(`Error applying filter: ${error.message}`) - } - }) - return value -} |
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`` : ''; - } - }); - - // Clean up common wiki elements - const cleanedHtml = html - .replace(/<sup[^>]*class="reference[^>]*>.*?<\/sup>/g, '') // Remove reference links - .replace(/<span[^>]*class="[^"]*citation[^"]*"[^>]*>.*?<\/span>/g, '') // Remove citation spans - .replace(/<span[^>]*class="mw-parser-output[^>]*>(.*?)<\/span>/g, '$1'); // Clean wiki parser output - - return turndown.turndown(cleanedHtml); -} - -/** - * Fetch web content with caching - */ -export async function fetchUrl(url: string): Promise<{ content: string, contentType: string, isProcessed: boolean }> { - // Ensure cache directory exists - if (!exists(CACHE_DIR)) { - dir(CACHE_DIR) - } - - const cacheKey = createCacheKey(url) - const cacheFile = path.join(CACHE_DIR, `${cacheKey}.json`) - - if (isCacheValid(cacheFile)) { - try { - const cached = read(cacheFile, 'json') as { content: string, contentType: string, isProcessed: boolean } - if (cached && typeof cached === 'object' && 'content' in cached && 'contentType' in cached) { - logger.debug(`Using cached content for ${url}`) - return cached - } - } catch (error) { - logger.error(`Error reading cache for ${url}:`, error) - // Continue to fetch fresh content if cache read fails - } - } - - try { - const response = await axios.get(url, { - headers: { - 'User-Agent': 'Mozilla/5.0 (compatible; KBot/1.0)' - }, - responseType: 'text' - }) - - const contentType = response.headers['content-type'] || 'text/html' - let content = response.data - let isProcessed = false - - // Always process HTML content into markdown before caching - if (contentType.includes('html')) { - content = processHtml(content) - isProcessed = true - logger.debug(`Converted HTML to markdown for ${url}`) - } - - const result = { - content, - contentType, - isProcessed - } - - // Cache the processed result - write(cacheFile, JSON.stringify(result)) - - return result - } catch (error) { - logger.error(`Error fetching ${url}:`, error.message) - throw new Error(`Failed to fetch ${url}: ${error.message}`) - } -} - -/** - * Handle a web URL and return it in a format compatible with the get() function - */ -export async function handleWebUrl(url: string): Promise<IHandlerResult> { - try { - const { content, contentType, isProcessed } = await fetchUrl(url) - - if (contentType.includes('json')) { - // Handle JSON response - const jsonContent = typeof content === 'string' && !isProcessed ? JSON.parse(content) : content - return { - content: isProcessed ? content : `\`\`\`json\n${JSON.stringify(jsonContent, null, 2)}\n\`\`\``, - path: url, - role: 'user', - name: `web_${createCacheKey(url)}` - } - } else { - // Handle HTML response - already processed into markdown - return { - content: content, - path: url, - role: 'user', - name: `web_${createCacheKey(url)}` - } - } - } catch (error) { - logger.error(`Error handling web URL ${url}:`, error) - return { - content: `Error fetching URL: ${url} - ${error.message}`, - path: url, - role: 'user', - name: `web_${createCacheKey(url)}_error` - } - } -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { platform } from 'node:process' -import path from 'node:path' -import { Logger, ILogObj } from 'tslog' -const isWindows = platform === 'win32' - -import { get_var } from '@polymech/commons' -import { MODULE_NAME } from './constants.js' -import { IKBotTask } from '@polymech/ai-tools' - -import { createLogger } from '@polymech/log' -export const logger = createLogger('llm-tools') as unknown as Logger<ILogObj> - -let _logger: Logger<ILogObj> = logger - -export const getLogger = (options: IKBotTask): Logger<ILogObj> => { - if (_logger) { - return _logger - } - const logLevelMap: Record<string, number> = { - 'silly': 0, - 'trace': 1, - 'debug': 2, - 'info': 3, - 'warn': 4, - 'error': 5, - 'fatal': 6 - } - - let minLevel = logLevelMap['info'] - if (options.logLevel) { - if (typeof options.logLevel === 'string') { - const levelStr = options.logLevel as string - minLevel = logLevelMap[levelStr.toLowerCase()] || logLevelMap['info'] - } else { - minLevel = options.logLevel - } - } - _logger = new Logger<ILogObj>({ - name: MODULE_NAME, - minLevel, - hideLogPositionForProduction: true, - maskPlaceholder: '***', - prettyLogTemplate: "{{logLevelName}}\t[{{filePathWithLine}}{{name}}]\t", - }) - return _logger -} - -export { run } from './commands/run.js' -export const module_root = () => path.resolve(path.join(get_var(isWindows ? 'HOMEPATH' : 'HOME'), `.${MODULE_NAME}`)) - -export const assistant_supported: Record<string, string> = { - ".c": "text/x-c", - ".cpp": "text/x-c++", - ".cs": "text/x-csharp", - ".css": "text/css", - ".doc": "application/msword", - ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - ".go": "text/x-golang", - ".html": "text/html", - ".java": "text/x-java", - ".js": "text/javascript", - ".json": "application/json", - ".md": "text/markdown", - ".pdf": "application/pdf", - ".php": "text/x-php", - ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", - ".py": "text/x-python", - ".rb": "text/x-ruby", - ".sh": "application/x-sh", - ".tex": "text/x-tex", - ".ts": "application/typescript", - ".txt": "text/plain" -} -export * from './types.js' -export * from './zod_types.js' -export * from './zod_schema.js' - -export { E_OPENAI_MODEL } from './models/cache/openai-models.js' -export { E_OPENROUTER_MODEL } from './models/cache/openrouter-models.js' -export { E_OPENROUTER_MODEL_FREE } from './models/cache/openrouter-models-free.js' - -export { IKBotTask } from '@polymech/ai-tools' |
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- -| 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 | 1x - - - - - - - - - - - - - - -1x -4x -4x -4x - - - - - -4x -4x -4x -4x -4x -4x -4x -4x -4x - -4x - - -1x -1x - -4x - -4x -4x -4x -2x - -3x -3x -3x - -3x -3x -3x -3x -3x -3x -3x -3x -3x -3x -3x -3x -3x -2x -4x -4x - -1x -1x -1x -1x -1x - - - - -1x -1x -1x -1x -1x -1x -1x -1x - -1x -2x -2x - -2x -2x -2x -2x -2x -2x -2x -2x -2x -2x -2x -2x -2x -1x | import { JSONPath } from 'jsonpath-plus'
-import { IKBotTask } from '@polymech/ai-tools'
-import { AsyncTransformer, ErrorCallback, FilterCallback, defaultError, defaultFilters, testFilters, transformObjectWithOptions } from './async-iterator.js'
-
-export interface FieldMapping {
- jsonPath: string
- targetPath?: string | null
- options?: IKBotTask
-}
-
-export interface IteratorFactory {
- transform: (mappings: FieldMapping[]) => Promise<void>
- createTransformer: (options: IKBotTask) => AsyncTransformer
-}
-
-export function createIterator(
- obj: Record<string, any>,
- optionsMixin: Partial<IKBotTask>,
- globalOptions: {
- throttleDelay?: number
- concurrentTasks?: number
- errorCallback?: ErrorCallback
- filterCallback?: FilterCallback
- transformerFactory?: (options: IKBotTask) => AsyncTransformer
- } = {}
-): IteratorFactory {
- const {
- throttleDelay = 1000,
- concurrentTasks = 1,
- errorCallback = defaultError,
- filterCallback = testFilters(defaultFilters()),
- transformerFactory
- } = globalOptions;
-
- const defaultTransformerFactory = (options: IKBotTask): AsyncTransformer => {
- // This is a placeholder transformer that just returns the input
- // In real usage, this would be replaced by the provided transformerFactory
- return async (input: string): Promise<string> => input;
- };
-
- const createTransformer = transformerFactory || defaultTransformerFactory;
-
- return {
- createTransformer,
- transform: async (mappings: FieldMapping[]): Promise<void> => {
- for (const mapping of mappings) {
- // Merge the mapping options with the global mixin
- const mergedOptions = { ...optionsMixin, ...mapping.options } as IKBotTask;
- const { jsonPath, targetPath = null } = mapping;
- const transformer = createTransformer(mergedOptions);
-
- await transformObjectWithOptions(
- obj,
- transformer,
- {
- jsonPath,
- targetPath,
- throttleDelay,
- concurrentTasks,
- errorCallback,
- filterCallback
- }
- );
- }
- }
- };
-}
-
-export async function transformWithMappings(
- obj: Record<string, any>,
- createTransformer: (options: IKBotTask) => AsyncTransformer,
- mappings: FieldMapping[],
- globalOptions: {
- throttleDelay?: number
- concurrentTasks?: number
- errorCallback?: ErrorCallback
- filterCallback?: FilterCallback
- } = {}
-): Promise<void> {
- const {
- throttleDelay = 1000,
- concurrentTasks = 1,
- errorCallback = defaultError,
- filterCallback = testFilters(defaultFilters())
- } = globalOptions;
-
- for (const mapping of mappings) {
- const { jsonPath, targetPath = null, options = {} as IKBotTask } = mapping;
- const transformer = createTransformer(options);
-
- await transformObjectWithOptions(
- obj,
- transformer,
- {
- jsonPath,
- targetPath,
- throttleDelay,
- concurrentTasks,
- errorCallback,
- filterCallback
- }
- );
- }
-} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | #!/usr/bin/env node -import yargs from 'yargs' -import { hideBin } from 'yargs/helpers' -import { toYargs } from '@polymech/commons' -import { createLogger } from '@polymech/log' -import { OptionsSchema, types } from './zod_schema.js' - -import { IKBotTask } from '@polymech/ai-tools' - -import helpCommand from './commands/help.js' -import { examples } from './commands/examples.js' -import { init } from './commands/init.js' -import { build } from './commands/build.js' -import { fetch } from './commands/fetch.js' -import { run } from './commands/run.js' - -export const logger: any = createLogger('llm-tools') - -const modify = async (argv: IKBotTask) => await run(argv as IKBotTask) - -const yargOptions: any = { - onKey: ((_yargs, key, options) => { - switch (key) { - case 'prompt': - { - return _yargs.positional(key, options) - } - case 'include': - { - return _yargs.option(key, {...options, alias: key[0].toLowerCase()}) - } - } - }) -} - -yargs(hideBin(process.argv)) - .command( - 'init', - 'Initialize KBot configuration', - (yargs) => toYargs(yargs, OptionsSchema(), yargOptions), - init - ) - .command( - 'modify [prompt]', - 'Modify an existing project', - (yargs) => toYargs(yargs, OptionsSchema(), yargOptions), - modify - ) - .command( - 'types', - 'Generate types', - (yargs) => { }, - (argv) => types() - ) - .command( - 'build', - 'Build kbot essentials', - (yargs) => { }, - (argv) => build() - ) - .command( - 'fetch', - "Fetch models, to $HOME/.kbot/", - (yargs) => { }, - (argv) => fetch() - ) - .command( - 'help-md', - 'Generate markdown help', - (yargs) => { }, - helpCommand - ) - .command( - 'examples', - 'Show examples', - (yargs) => { }, - examples - ) - .command(['modify [prompt]', '$0'], 'Default command modify', - (yargs) => toYargs(yargs, OptionsSchema(), yargOptions), modify) - .help() - //.wrap(yargs.terminalWidth() - 20) - .parse() |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { isString } from '@polymech/core/primitives' -import { sync as read } from '@polymech/fs/read' - -import { logger } from './index.js' - -import { deepmerge as merge } from 'deepmerge-ts' -export const deepMerge = async (target: string, source: any) => { - if (!isString(target) || !source) { - logger.error(`Invalid deepmerge parameters:`, target, source) - return source - } - target = read(target, 'json') as any || [] - try { - source = isString(source) ? JSON.parse(source) : source - } catch (e) { - logger.error('Error parsing completion:', e) - return source - } - try { - const ret = merge(target, source) - return JSON.stringify(ret, null, 2) - } catch (error) { - logger.error('Error merging completion:', error) - } - return target; -} -export const mergers = -{ - json: deepMerge -} - |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { sync as read } from '@polymech/fs/read' - -import { ChatCompletionUserMessageParam } from 'openai/resources/index.mjs' - -import { base64 } from './source.js' -export type IHandlerResult = ChatCompletionUserMessageParam & -{ - path?: string -} - -export interface IMimeHandler { - handle(filePath: string, relativePath: string): IHandlerResult; -} - -export class ImageHandler implements IMimeHandler { - handle(filePath: string, relativePath: string): IHandlerResult { - return { - role: "user", - content: [ - { - type: "image_url", - image_url: { - url: base64(filePath) - } - } - ] - } - } -} - -export class PDFHandler implements IMimeHandler { - handle(filePath: string, relativePath: string): IHandlerResult { - return { - path: relativePath, - content: base64(filePath), - role: "user", - name: path.parse(filePath).base - } - } -} - -export class TextHandler implements IMimeHandler { - handle(filePath: string, relativePath: string): IHandlerResult { - return { - role: "user", - path: relativePath, - content: read(filePath).toString() - } - } -} - -export class MimeHandlerRegistry { - private handlers: Map<string, IMimeHandler> = new Map(); - - registerHandler(mimeType: string, handler: IMimeHandler) { - this.handlers.set(mimeType, handler); - } - - getHandler(mimeType: string): IMimeHandler | null { - // For mime types like 'image/png', try to match 'image/*' if specific type not found - const [type] = mimeType.split('/'); - return this.handlers.get(mimeType) || this.handlers.get(`${type}/*`) || null; - } -} - -// Create and export a pre-configured registry -export const defaultMimeRegistry = new MimeHandlerRegistry(); - -// Register default handlers -defaultMimeRegistry.registerHandler('image/*', new ImageHandler()); -defaultMimeRegistry.registerHandler('application/pdf', new PDFHandler()); -defaultMimeRegistry.registerHandler('text/*', new TextHandler()); - |
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- -| File | -- | Statements | -- | Branches | -- | Functions | -- | Lines | -- |
|---|---|---|---|---|---|---|---|---|---|
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- -| 1 -2 -3 | - - | export enum E_OPENAI_MODEL_FREE {
-
-} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 | - - | export enum E_OPENAI_MODEL {
-
-} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export enum E_OPENAI_MODEL { - MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-realtime-preview-2024-12-17", - MODEL_GPT_4O_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-audio-preview-2024-12-17", - MODEL_DALL_E_3 = "dall-e-3", - MODEL_DALL_E_2 = "dall-e-2", - MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01 = "gpt-4o-audio-preview-2024-10-01", - MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", - MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", - MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", - MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", - MODEL_BABBAGE_002 = "babbage-002", - MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts", - MODEL_TTS_1_HD_1106 = "tts-1-hd-1106", - MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", - MODEL_GPT_4 = "gpt-4", - MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002", - MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest", - MODEL_TTS_1_HD = "tts-1-hd", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", - MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", - MODEL_O1_PREVIEW_2024_09_12 = "o1-preview-2024-09-12", - MODEL_GPT_4O_MINI_REALTIME_PREVIEW = "gpt-4o-mini-realtime-preview", - MODEL_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-mini-realtime-preview-2024-12-17", - MODEL_GPT_3_5_TURBO_INSTRUCT_0914 = "gpt-3.5-turbo-instruct-0914", - MODEL_GPT_4O_MINI_SEARCH_PREVIEW = "gpt-4o-mini-search-preview", - MODEL_GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview", - MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview", - MODEL_TTS_1_1106 = "tts-1-1106", - MODEL_DAVINCI_002 = "davinci-002", - MODEL_GPT_3_5_TURBO_1106 = "gpt-3.5-turbo-1106", - MODEL_GPT_4_TURBO = "gpt-4-turbo", - MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", - MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo", - MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest", - MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", - MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", - MODEL_WHISPER_1 = "whisper-1", - MODEL_GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125", - MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", - MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", - MODEL_GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09", - MODEL_GPT_4_1106_PREVIEW = "gpt-4-1106-preview", - MODEL_O1_PREVIEW = "o1-preview", - MODEL_GPT_4_0613 = "gpt-4-0613", - MODEL_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", - MODEL_O1_2024_12_17 = "o1-2024-12-17", - MODEL_O1_PRO = "o1-pro", - MODEL_O1 = "o1", - MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19", - MODEL_GPT_4_5_PREVIEW = "gpt-4.5-preview", - MODEL_GPT_4_5_PREVIEW_2025_02_27 = "gpt-4.5-preview-2025-02-27", - MODEL_GPT_4O_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-search-preview-2025-03-11", - MODEL_O3_MINI = "o3-mini", - MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31", - MODEL_TTS_1 = "tts-1", - MODEL_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", - MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", - MODEL_GPT_4O = "gpt-4o", - MODEL_GPT_4O_MINI = "gpt-4o-mini", - MODEL_GPT_4O_2024_08_06 = "gpt-4o-2024-08-06", - MODEL_GPT_4O_MINI_2024_07_18 = "gpt-4o-mini-2024-07-18", - MODEL_O1_MINI = "o1-mini", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", - MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12" -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 | export const models = [{"id":"gpt-4o-audio-preview-2024-10-01","object":"model","created":1727389042,"owned_by":"system"},{"id":"gpt-4o-realtime-preview","object":"model","created":1727659998,"owned_by":"system"},{"id":"gpt-4o-realtime-preview-2024-10-01","object":"model","created":1727131766,"owned_by":"system"},{"id":"dall-e-2","object":"model","created":1698798177,"owned_by":"system"},{"id":"gpt-4o-2024-08-06","object":"model","created":1722814719,"owned_by":"system"},{"id":"gpt-4-turbo","object":"model","created":1712361441,"owned_by":"system"},{"id":"gpt-4-1106-preview","object":"model","created":1698957206,"owned_by":"system"},{"id":"gpt-4o","object":"model","created":1715367049,"owned_by":"system"},{"id":"gpt-3.5-turbo","object":"model","created":1677610602,"owned_by":"openai"},{"id":"gpt-3.5-turbo-0125","object":"model","created":1706048358,"owned_by":"system"},{"id":"gpt-3.5-turbo-instruct","object":"model","created":1692901427,"owned_by":"system"},{"id":"gpt-4-1106-vision-preview","object":"model","created":1711473033,"owned_by":"system"},{"id":"babbage-002","object":"model","created":1692634615,"owned_by":"system"},{"id":"whisper-1","object":"model","created":1677532384,"owned_by":"openai-internal"},{"id":"dall-e-3","object":"model","created":1698785189,"owned_by":"system"},{"id":"text-embedding-3-small","object":"model","created":1705948997,"owned_by":"system"},{"id":"gpt-3.5-turbo-16k","object":"model","created":1683758102,"owned_by":"openai-internal"},{"id":"gpt-4-0125-preview","object":"model","created":1706037612,"owned_by":"system"},{"id":"gpt-4-turbo-preview","object":"model","created":1706037777,"owned_by":"system"},{"id":"chatgpt-4o-latest","object":"model","created":1723515131,"owned_by":"system"},{"id":"omni-moderation-latest","object":"model","created":1731689265,"owned_by":"system"},{"id":"gpt-4o-2024-05-13","object":"model","created":1715368132,"owned_by":"system"},{"id":"o1-preview-2024-09-12","object":"model","created":1725648865,"owned_by":"system"},{"id":"omni-moderation-2024-09-26","object":"model","created":1732734466,"owned_by":"system"},{"id":"tts-1-hd-1106","object":"model","created":1699053533,"owned_by":"system"},{"id":"o1-preview","object":"model","created":1725648897,"owned_by":"system"},{"id":"gpt-4","object":"model","created":1687882411,"owned_by":"openai"},{"id":"gpt-4-0613","object":"model","created":1686588896,"owned_by":"openai"},{"id":"tts-1-hd","object":"model","created":1699046015,"owned_by":"system"},{"id":"gpt-4-vision-preview","object":"model","created":1698894917,"owned_by":"system"},{"id":"text-embedding-ada-002","object":"model","created":1671217299,"owned_by":"openai-internal"},{"id":"gpt-3.5-turbo-1106","object":"model","created":1698959748,"owned_by":"system"},{"id":"gpt-4o-audio-preview","object":"model","created":1727460443,"owned_by":"system"},{"id":"tts-1","object":"model","created":1681940951,"owned_by":"openai-internal"},{"id":"tts-1-1106","object":"model","created":1699053241,"owned_by":"system"},{"id":"gpt-3.5-turbo-instruct-0914","object":"model","created":1694122472,"owned_by":"system"},{"id":"davinci-002","object":"model","created":1692634301,"owned_by":"system"},{"id":"text-embedding-3-large","object":"model","created":1705953180,"owned_by":"system"},{"id":"gpt-4o-realtime-preview-2024-12-17","object":"model","created":1733945430,"owned_by":"system"},{"id":"gpt-4o-mini-realtime-preview","object":"model","created":1734387380,"owned_by":"system"},{"id":"gpt-4o-mini-realtime-preview-2024-12-17","object":"model","created":1734112601,"owned_by":"system"},{"id":"o1-mini","object":"model","created":1725649008,"owned_by":"system"},{"id":"gpt-4o-2024-11-20","object":"model","created":1731975040,"owned_by":"system"},{"id":"o1-mini-2024-09-12","object":"model","created":1725648979,"owned_by":"system"},{"id":"gpt-4o-mini-2024-07-18","object":"model","created":1721172717,"owned_by":"system"},{"id":"gpt-4o-mini","object":"model","created":1721172741,"owned_by":"system"},{"id":"gpt-4o-audio-preview-2024-12-17","object":"model","created":1734034239,"owned_by":"system"},{"id":"gpt-4o-mini-audio-preview","object":"model","created":1734387424,"owned_by":"system"},{"id":"gpt-4o-mini-audio-preview-2024-12-17","object":"model","created":1734115920,"owned_by":"system"},{"id":"gpt-4-turbo-2024-04-09","object":"model","created":1712601677,"owned_by":""}] |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export enum E_OPENROUTER_MODEL_FREE { - MODEL_FREE_META_LLAMA_LLAMA_4_MAVERICK_FREE = "meta-llama/llama-4-maverick:free", - MODEL_FREE_META_LLAMA_LLAMA_4_SCOUT_FREE = "meta-llama/llama-4-scout:free", - MODEL_FREE_OPENROUTER_QUASAR_ALPHA = "openrouter/quasar-alpha", - MODEL_FREE_DEEPSEEK_DEEPSEEK_V3_BASE_FREE = "deepseek/deepseek-v3-base:free", - MODEL_FREE_ALLENAI_MOLMO_7B_D_FREE = "allenai/molmo-7b-d:free", - MODEL_FREE_BYTEDANCE_RESEARCH_UI_TARS_72B_FREE = "bytedance-research/ui-tars-72b:free", - MODEL_FREE_QWEN_QWEN2_5_VL_3B_INSTRUCT_FREE = "qwen/qwen2.5-vl-3b-instruct:free", - MODEL_FREE_GOOGLE_GEMINI_2_5_PRO_EXP_03_25_FREE = "google/gemini-2.5-pro-exp-03-25:free", - MODEL_FREE_QWEN_QWEN2_5_VL_32B_INSTRUCT_FREE = "qwen/qwen2.5-vl-32b-instruct:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_CHAT_V3_0324_FREE = "deepseek/deepseek-chat-v3-0324:free", - MODEL_FREE_FEATHERLESS_QWERKY_72B_FREE = "featherless/qwerky-72b:free", - MODEL_FREE_MISTRALAI_MISTRAL_SMALL_3_1_24B_INSTRUCT_FREE = "mistralai/mistral-small-3.1-24b-instruct:free", - MODEL_FREE_OPEN_R1_OLYMPICCODER_7B_FREE = "open-r1/olympiccoder-7b:free", - MODEL_FREE_OPEN_R1_OLYMPICCODER_32B_FREE = "open-r1/olympiccoder-32b:free", - MODEL_FREE_GOOGLE_GEMMA_3_1B_IT_FREE = "google/gemma-3-1b-it:free", - MODEL_FREE_GOOGLE_GEMMA_3_4B_IT_FREE = "google/gemma-3-4b-it:free", - MODEL_FREE_GOOGLE_GEMMA_3_12B_IT_FREE = "google/gemma-3-12b-it:free", - MODEL_FREE_REKAAI_REKA_FLASH_3_FREE = "rekaai/reka-flash-3:free", - MODEL_FREE_GOOGLE_GEMMA_3_27B_IT_FREE = "google/gemma-3-27b-it:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_ZERO_FREE = "deepseek/deepseek-r1-zero:free", - MODEL_FREE_QWEN_QWQ_32B_FREE = "qwen/qwq-32b:free", - MODEL_FREE_MOONSHOTAI_MOONLIGHT_16B_A3B_INSTRUCT_FREE = "moonshotai/moonlight-16b-a3b-instruct:free", - MODEL_FREE_NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE = "nousresearch/deephermes-3-llama-3-8b-preview:free", - MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free", - MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-mistral-24b:free", - MODEL_FREE_GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE = "google/gemini-2.0-pro-exp-02-05:free", - MODEL_FREE_QWEN_QWEN2_5_VL_72B_INSTRUCT_FREE = "qwen/qwen2.5-vl-72b-instruct:free", - MODEL_FREE_MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501_FREE = "mistralai/mistral-small-24b-instruct-2501:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B_FREE = "deepseek/deepseek-r1-distill-qwen-32b:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_14B_FREE = "deepseek/deepseek-r1-distill-qwen-14b:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B_FREE = "deepseek/deepseek-r1-distill-llama-70b:free", - MODEL_FREE_GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_FREE = "google/gemini-2.0-flash-thinking-exp:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_FREE = "deepseek/deepseek-r1:free", - MODEL_FREE_SOPHOSYMPATHEIA_ROGUE_ROSE_103B_V0_2_FREE = "sophosympatheia/rogue-rose-103b-v0.2:free", - MODEL_FREE_DEEPSEEK_DEEPSEEK_CHAT_FREE = "deepseek/deepseek-chat:free", - MODEL_FREE_GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_1219_FREE = "google/gemini-2.0-flash-thinking-exp-1219:free", - MODEL_FREE_GOOGLE_GEMINI_2_0_FLASH_EXP_FREE = "google/gemini-2.0-flash-exp:free", - MODEL_FREE_META_LLAMA_LLAMA_3_3_70B_INSTRUCT_FREE = "meta-llama/llama-3.3-70b-instruct:free", - MODEL_FREE_QWEN_QWQ_32B_PREVIEW_FREE = "qwen/qwq-32b-preview:free", - MODEL_FREE_GOOGLE_LEARNLM_1_5_PRO_EXPERIMENTAL_FREE = "google/learnlm-1.5-pro-experimental:free", - MODEL_FREE_QWEN_QWEN_2_5_CODER_32B_INSTRUCT_FREE = "qwen/qwen-2.5-coder-32b-instruct:free", - MODEL_FREE_QWEN_QWEN_2_5_7B_INSTRUCT_FREE = "qwen/qwen-2.5-7b-instruct:free", - MODEL_FREE_NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT_FREE = "nvidia/llama-3.1-nemotron-70b-instruct:free", - MODEL_FREE_META_LLAMA_LLAMA_3_2_3B_INSTRUCT_FREE = "meta-llama/llama-3.2-3b-instruct:free", - MODEL_FREE_META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", - MODEL_FREE_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", - MODEL_FREE_QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", - MODEL_FREE_QWEN_QWEN_2_5_VL_7B_INSTRUCT_FREE = "qwen/qwen-2.5-vl-7b-instruct:free", - MODEL_FREE_GOOGLE_GEMINI_FLASH_1_5_8B_EXP = "google/gemini-flash-1.5-8b-exp", - MODEL_FREE_META_LLAMA_LLAMA_3_1_8B_INSTRUCT_FREE = "meta-llama/llama-3.1-8b-instruct:free", - MODEL_FREE_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", - MODEL_FREE_GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free", - MODEL_FREE_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free", - MODEL_FREE_MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE = "microsoft/phi-3-mini-128k-instruct:free", - MODEL_FREE_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE = "microsoft/phi-3-medium-128k-instruct:free", - MODEL_FREE_OPENCHAT_OPENCHAT_7B_FREE = "openchat/openchat-7b:free", - MODEL_FREE_UNDI95_TOPPY_M_7B_FREE = "undi95/toppy-m-7b:free", - MODEL_FREE_HUGGINGFACEH4_ZEPHYR_7B_BETA_FREE = "huggingfaceh4/zephyr-7b-beta:free" -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 -2 -3 | - - | export enum E_OPENROUTER_MODEL {
-
-} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export enum E_OPENROUTER_MODEL { - MODEL_META_LLAMA_LLAMA_4_MAVERICK_FREE = "meta-llama/llama-4-maverick:free", - MODEL_META_LLAMA_LLAMA_4_MAVERICK = "meta-llama/llama-4-maverick", - MODEL_META_LLAMA_LLAMA_4_SCOUT_FREE = "meta-llama/llama-4-scout:free", - MODEL_META_LLAMA_LLAMA_4_SCOUT = "meta-llama/llama-4-scout", - MODEL_GOOGLE_GEMINI_2_5_PRO_PREVIEW_03_25 = "google/gemini-2.5-pro-preview-03-25", - MODEL_OPENROUTER_QUASAR_ALPHA = "openrouter/quasar-alpha", - MODEL_ALL_HANDS_OPENHANDS_LM_32B_V0_1 = "all-hands/openhands-lm-32b-v0.1", - MODEL_MISTRAL_MINISTRAL_8B = "mistral/ministral-8b", - MODEL_DEEPSEEK_DEEPSEEK_V3_BASE_FREE = "deepseek/deepseek-v3-base:free", - MODEL_SCB10X_LLAMA3_1_TYPHOON2_8B_INSTRUCT = "scb10x/llama3.1-typhoon2-8b-instruct", - MODEL_SCB10X_LLAMA3_1_TYPHOON2_70B_INSTRUCT = "scb10x/llama3.1-typhoon2-70b-instruct", - MODEL_ALLENAI_MOLMO_7B_D_FREE = "allenai/molmo-7b-d:free", - MODEL_BYTEDANCE_RESEARCH_UI_TARS_72B_FREE = "bytedance-research/ui-tars-72b:free", - MODEL_QWEN_QWEN2_5_VL_3B_INSTRUCT_FREE = "qwen/qwen2.5-vl-3b-instruct:free", - MODEL_GOOGLE_GEMINI_2_5_PRO_EXP_03_25_FREE = "google/gemini-2.5-pro-exp-03-25:free", - MODEL_QWEN_QWEN2_5_VL_32B_INSTRUCT_FREE = "qwen/qwen2.5-vl-32b-instruct:free", - MODEL_QWEN_QWEN2_5_VL_32B_INSTRUCT = "qwen/qwen2.5-vl-32b-instruct", - MODEL_DEEPSEEK_DEEPSEEK_CHAT_V3_0324_FREE = "deepseek/deepseek-chat-v3-0324:free", - MODEL_DEEPSEEK_DEEPSEEK_CHAT_V3_0324 = "deepseek/deepseek-chat-v3-0324", - MODEL_FEATHERLESS_QWERKY_72B_FREE = "featherless/qwerky-72b:free", - MODEL_OPENAI_O1_PRO = "openai/o1-pro", - MODEL_MISTRALAI_MISTRAL_SMALL_3_1_24B_INSTRUCT_FREE = "mistralai/mistral-small-3.1-24b-instruct:free", - MODEL_MISTRALAI_MISTRAL_SMALL_3_1_24B_INSTRUCT = "mistralai/mistral-small-3.1-24b-instruct", - MODEL_OPEN_R1_OLYMPICCODER_7B_FREE = "open-r1/olympiccoder-7b:free", - MODEL_OPEN_R1_OLYMPICCODER_32B_FREE = "open-r1/olympiccoder-32b:free", - MODEL_STEELSKULL_L3_3_ELECTRA_R1_70B = "steelskull/l3.3-electra-r1-70b", - MODEL_ALLENAI_OLMO_2_0325_32B_INSTRUCT = "allenai/olmo-2-0325-32b-instruct", - MODEL_GOOGLE_GEMMA_3_1B_IT_FREE = "google/gemma-3-1b-it:free", - MODEL_GOOGLE_GEMMA_3_4B_IT_FREE = "google/gemma-3-4b-it:free", - MODEL_GOOGLE_GEMMA_3_4B_IT = "google/gemma-3-4b-it", - MODEL_AI21_JAMBA_1_6_LARGE = "ai21/jamba-1.6-large", - MODEL_AI21_JAMBA_1_6_MINI = "ai21/jamba-1.6-mini", - MODEL_GOOGLE_GEMMA_3_12B_IT_FREE = "google/gemma-3-12b-it:free", - MODEL_GOOGLE_GEMMA_3_12B_IT = "google/gemma-3-12b-it", - MODEL_COHERE_COMMAND_A = "cohere/command-a", - MODEL_OPENAI_GPT_4O_MINI_SEARCH_PREVIEW = "openai/gpt-4o-mini-search-preview", - MODEL_OPENAI_GPT_4O_SEARCH_PREVIEW = "openai/gpt-4o-search-preview", - MODEL_TOKYOTECH_LLM_LLAMA_3_1_SWALLOW_70B_INSTRUCT_V0_3 = "tokyotech-llm/llama-3.1-swallow-70b-instruct-v0.3", - MODEL_REKAAI_REKA_FLASH_3_FREE = "rekaai/reka-flash-3:free", - MODEL_GOOGLE_GEMMA_3_27B_IT_FREE = "google/gemma-3-27b-it:free", - MODEL_GOOGLE_GEMMA_3_27B_IT = "google/gemma-3-27b-it", - MODEL_THEDRUMMER_ANUBIS_PRO_105B_V1 = "thedrummer/anubis-pro-105b-v1", - MODEL_LATITUDEGAMES_WAYFARER_LARGE_70B_LLAMA_3_3 = "latitudegames/wayfarer-large-70b-llama-3.3", - MODEL_THEDRUMMER_SKYFALL_36B_V2 = "thedrummer/skyfall-36b-v2", - MODEL_MICROSOFT_PHI_4_MULTIMODAL_INSTRUCT = "microsoft/phi-4-multimodal-instruct", - MODEL_PERPLEXITY_SONAR_REASONING_PRO = "perplexity/sonar-reasoning-pro", - MODEL_PERPLEXITY_SONAR_PRO = "perplexity/sonar-pro", - MODEL_PERPLEXITY_SONAR_DEEP_RESEARCH = "perplexity/sonar-deep-research", - MODEL_DEEPSEEK_DEEPSEEK_R1_ZERO_FREE = "deepseek/deepseek-r1-zero:free", - MODEL_QWEN_QWQ_32B_FREE = "qwen/qwq-32b:free", - MODEL_QWEN_QWQ_32B = "qwen/qwq-32b", - MODEL_QWEN_QWEN2_5_32B_INSTRUCT = "qwen/qwen2.5-32b-instruct", - MODEL_MOONSHOTAI_MOONLIGHT_16B_A3B_INSTRUCT_FREE = "moonshotai/moonlight-16b-a3b-instruct:free", - MODEL_NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE = "nousresearch/deephermes-3-llama-3-8b-preview:free", - MODEL_OPENAI_GPT_4_5_PREVIEW = "openai/gpt-4.5-preview", - MODEL_GOOGLE_GEMINI_2_0_FLASH_LITE_001 = "google/gemini-2.0-flash-lite-001", - MODEL_ANTHROPIC_CLAUDE_3_7_SONNET = "anthropic/claude-3.7-sonnet", - MODEL_ANTHROPIC_CLAUDE_3_7_SONNET_THINKING = "anthropic/claude-3.7-sonnet:thinking", - MODEL_ANTHROPIC_CLAUDE_3_7_SONNET_BETA = "anthropic/claude-3.7-sonnet:beta", - MODEL_PERPLEXITY_R1_1776 = "perplexity/r1-1776", - MODEL_MISTRALAI_MISTRAL_SABA = "mistralai/mistral-saba", - MODEL_COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free", - MODEL_COGNITIVECOMPUTATIONS_DOLPHIN3_0_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-mistral-24b:free", - MODEL_META_LLAMA_LLAMA_GUARD_3_8B = "meta-llama/llama-guard-3-8b", - MODEL_OPENAI_O3_MINI_HIGH = "openai/o3-mini-high", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_8B = "deepseek/deepseek-r1-distill-llama-8b", - MODEL_GOOGLE_GEMINI_2_0_FLASH_001 = "google/gemini-2.0-flash-001", - MODEL_GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE = "google/gemini-2.0-pro-exp-02-05:free", - MODEL_QWEN_QWEN_VL_PLUS = "qwen/qwen-vl-plus", - MODEL_AION_LABS_AION_1_0 = "aion-labs/aion-1.0", - MODEL_AION_LABS_AION_1_0_MINI = "aion-labs/aion-1.0-mini", - MODEL_AION_LABS_AION_RP_LLAMA_3_1_8B = "aion-labs/aion-rp-llama-3.1-8b", - MODEL_QWEN_QWEN_VL_MAX = "qwen/qwen-vl-max", - MODEL_QWEN_QWEN_TURBO = "qwen/qwen-turbo", - MODEL_QWEN_QWEN2_5_VL_72B_INSTRUCT_FREE = "qwen/qwen2.5-vl-72b-instruct:free", - MODEL_QWEN_QWEN2_5_VL_72B_INSTRUCT = "qwen/qwen2.5-vl-72b-instruct", - MODEL_QWEN_QWEN_PLUS = "qwen/qwen-plus", - MODEL_QWEN_QWEN_MAX = "qwen/qwen-max", - MODEL_OPENAI_O3_MINI = "openai/o3-mini", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_1_5B = "deepseek/deepseek-r1-distill-qwen-1.5b", - MODEL_MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501_FREE = "mistralai/mistral-small-24b-instruct-2501:free", - MODEL_MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501 = "mistralai/mistral-small-24b-instruct-2501", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B_FREE = "deepseek/deepseek-r1-distill-qwen-32b:free", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B = "deepseek/deepseek-r1-distill-qwen-32b", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_14B_FREE = "deepseek/deepseek-r1-distill-qwen-14b:free", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_14B = "deepseek/deepseek-r1-distill-qwen-14b", - MODEL_PERPLEXITY_SONAR_REASONING = "perplexity/sonar-reasoning", - MODEL_PERPLEXITY_SONAR = "perplexity/sonar", - MODEL_LIQUID_LFM_7B = "liquid/lfm-7b", - MODEL_LIQUID_LFM_3B = "liquid/lfm-3b", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B_FREE = "deepseek/deepseek-r1-distill-llama-70b:free", - MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_70B = "deepseek/deepseek-r1-distill-llama-70b", - MODEL_GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_FREE = "google/gemini-2.0-flash-thinking-exp:free", - MODEL_DEEPSEEK_DEEPSEEK_R1_FREE = "deepseek/deepseek-r1:free", - MODEL_DEEPSEEK_DEEPSEEK_R1 = "deepseek/deepseek-r1", - MODEL_SOPHOSYMPATHEIA_ROGUE_ROSE_103B_V0_2_FREE = "sophosympatheia/rogue-rose-103b-v0.2:free", - MODEL_MINIMAX_MINIMAX_01 = "minimax/minimax-01", - MODEL_MISTRALAI_CODESTRAL_2501 = "mistralai/codestral-2501", - MODEL_MICROSOFT_PHI_4 = "microsoft/phi-4", - MODEL_SAO10K_L3_1_70B_HANAMI_X1 = "sao10k/l3.1-70b-hanami-x1", - MODEL_DEEPSEEK_DEEPSEEK_CHAT_FREE = "deepseek/deepseek-chat:free", - MODEL_DEEPSEEK_DEEPSEEK_CHAT = "deepseek/deepseek-chat", - MODEL_GOOGLE_GEMINI_2_0_FLASH_THINKING_EXP_1219_FREE = "google/gemini-2.0-flash-thinking-exp-1219:free", - MODEL_SAO10K_L3_3_EURYALE_70B = "sao10k/l3.3-euryale-70b", - MODEL_OPENAI_O1 = "openai/o1", - MODEL_EVA_UNIT_01_EVA_LLAMA_3_33_70B = "eva-unit-01/eva-llama-3.33-70b", - MODEL_X_AI_GROK_2_VISION_1212 = "x-ai/grok-2-vision-1212", - MODEL_X_AI_GROK_2_1212 = "x-ai/grok-2-1212", - MODEL_COHERE_COMMAND_R7B_12_2024 = "cohere/command-r7b-12-2024", - MODEL_GOOGLE_GEMINI_2_0_FLASH_EXP_FREE = "google/gemini-2.0-flash-exp:free", - MODEL_META_LLAMA_LLAMA_3_3_70B_INSTRUCT_FREE = "meta-llama/llama-3.3-70b-instruct:free", - MODEL_META_LLAMA_LLAMA_3_3_70B_INSTRUCT = "meta-llama/llama-3.3-70b-instruct", - MODEL_AMAZON_NOVA_LITE_V1 = "amazon/nova-lite-v1", - MODEL_AMAZON_NOVA_MICRO_V1 = "amazon/nova-micro-v1", - MODEL_AMAZON_NOVA_PRO_V1 = "amazon/nova-pro-v1", - MODEL_QWEN_QWQ_32B_PREVIEW_FREE = "qwen/qwq-32b-preview:free", - MODEL_QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview", - MODEL_GOOGLE_LEARNLM_1_5_PRO_EXPERIMENTAL_FREE = "google/learnlm-1.5-pro-experimental:free", - MODEL_EVA_UNIT_01_EVA_QWEN_2_5_72B = "eva-unit-01/eva-qwen-2.5-72b", - MODEL_OPENAI_GPT_4O_2024_11_20 = "openai/gpt-4o-2024-11-20", - MODEL_MISTRALAI_MISTRAL_LARGE_2411 = "mistralai/mistral-large-2411", - MODEL_MISTRALAI_MISTRAL_LARGE_2407 = "mistralai/mistral-large-2407", - MODEL_MISTRALAI_PIXTRAL_LARGE_2411 = "mistralai/pixtral-large-2411", - MODEL_X_AI_GROK_VISION_BETA = "x-ai/grok-vision-beta", - MODEL_INFERMATIC_MN_INFEROR_12B = "infermatic/mn-inferor-12b", - MODEL_QWEN_QWEN_2_5_CODER_32B_INSTRUCT_FREE = "qwen/qwen-2.5-coder-32b-instruct:free", - MODEL_QWEN_QWEN_2_5_CODER_32B_INSTRUCT = "qwen/qwen-2.5-coder-32b-instruct", - MODEL_RAIFLE_SORCERERLM_8X22B = "raifle/sorcererlm-8x22b", - MODEL_EVA_UNIT_01_EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b", - MODEL_THEDRUMMER_UNSLOPNEMO_12B = "thedrummer/unslopnemo-12b", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_BETA = "anthropic/claude-3.5-haiku:beta", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU = "anthropic/claude-3.5-haiku", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022_BETA = "anthropic/claude-3.5-haiku-20241022:beta", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022 = "anthropic/claude-3.5-haiku-20241022", - MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_70B = "neversleep/llama-3.1-lumimaid-70b", - MODEL_ANTHRACITE_ORG_MAGNUM_V4_72B = "anthracite-org/magnum-v4-72b", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_BETA = "anthropic/claude-3.5-sonnet:beta", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET = "anthropic/claude-3.5-sonnet", - MODEL_X_AI_GROK_BETA = "x-ai/grok-beta", - MODEL_MISTRALAI_MINISTRAL_8B = "mistralai/ministral-8b", - MODEL_MISTRALAI_MINISTRAL_3B = "mistralai/ministral-3b", - MODEL_QWEN_QWEN_2_5_7B_INSTRUCT_FREE = "qwen/qwen-2.5-7b-instruct:free", - MODEL_QWEN_QWEN_2_5_7B_INSTRUCT = "qwen/qwen-2.5-7b-instruct", - MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT_FREE = "nvidia/llama-3.1-nemotron-70b-instruct:free", - MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_70B_INSTRUCT = "nvidia/llama-3.1-nemotron-70b-instruct", - MODEL_INFLECTION_INFLECTION_3_PRODUCTIVITY = "inflection/inflection-3-productivity", - MODEL_INFLECTION_INFLECTION_3_PI = "inflection/inflection-3-pi", - MODEL_GOOGLE_GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5-8b", - MODEL_THEDRUMMER_ROCINANTE_12B = "thedrummer/rocinante-12b", - MODEL_ANTHRACITE_ORG_MAGNUM_V2_72B = "anthracite-org/magnum-v2-72b", - MODEL_LIQUID_LFM_40B = "liquid/lfm-40b", - MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT_FREE = "meta-llama/llama-3.2-3b-instruct:free", - MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT = "meta-llama/llama-3.2-3b-instruct", - MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT_FREE = "meta-llama/llama-3.2-1b-instruct:free", - MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT = "meta-llama/llama-3.2-1b-instruct", - MODEL_META_LLAMA_LLAMA_3_2_90B_VISION_INSTRUCT = "meta-llama/llama-3.2-90b-vision-instruct", - MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", - MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT = "meta-llama/llama-3.2-11b-vision-instruct", - MODEL_QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", - MODEL_QWEN_QWEN_2_5_72B_INSTRUCT = "qwen/qwen-2.5-72b-instruct", - MODEL_QWEN_QWEN_2_5_VL_72B_INSTRUCT = "qwen/qwen-2.5-vl-72b-instruct", - MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_8B = "neversleep/llama-3.1-lumimaid-8b", - MODEL_OPENAI_O1_PREVIEW = "openai/o1-preview", - MODEL_OPENAI_O1_PREVIEW_2024_09_12 = "openai/o1-preview-2024-09-12", - MODEL_OPENAI_O1_MINI = "openai/o1-mini", - MODEL_OPENAI_O1_MINI_2024_09_12 = "openai/o1-mini-2024-09-12", - MODEL_MISTRALAI_PIXTRAL_12B = "mistralai/pixtral-12b", - MODEL_COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024", - MODEL_COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024", - MODEL_QWEN_QWEN_2_5_VL_7B_INSTRUCT_FREE = "qwen/qwen-2.5-vl-7b-instruct:free", - MODEL_QWEN_QWEN_2_5_VL_7B_INSTRUCT = "qwen/qwen-2.5-vl-7b-instruct", - MODEL_SAO10K_L3_1_EURYALE_70B = "sao10k/l3.1-euryale-70b", - MODEL_GOOGLE_GEMINI_FLASH_1_5_8B_EXP = "google/gemini-flash-1.5-8b-exp", - MODEL_AI21_JAMBA_1_5_MINI = "ai21/jamba-1-5-mini", - MODEL_AI21_JAMBA_1_5_LARGE = "ai21/jamba-1-5-large", - MODEL_MICROSOFT_PHI_3_5_MINI_128K_INSTRUCT = "microsoft/phi-3.5-mini-128k-instruct", - MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b", - MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b", - MODEL_OPENAI_CHATGPT_4O_LATEST = "openai/chatgpt-4o-latest", - MODEL_SAO10K_L3_LUNARIS_8B = "sao10k/l3-lunaris-8b", - MODEL_AETHERWIING_MN_STARCANNON_12B = "aetherwiing/mn-starcannon-12b", - MODEL_OPENAI_GPT_4O_2024_08_06 = "openai/gpt-4o-2024-08-06", - MODEL_META_LLAMA_LLAMA_3_1_405B = "meta-llama/llama-3.1-405b", - MODEL_NOTHINGIISREAL_MN_CELESTE_12B = "nothingiisreal/mn-celeste-12b", - MODEL_PERPLEXITY_LLAMA_3_1_SONAR_SMALL_128K_ONLINE = "perplexity/llama-3.1-sonar-small-128k-online", - MODEL_PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = "perplexity/llama-3.1-sonar-large-128k-online", - MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT_FREE = "meta-llama/llama-3.1-8b-instruct:free", - MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT = "meta-llama/llama-3.1-8b-instruct", - MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT = "meta-llama/llama-3.1-405b-instruct", - MODEL_META_LLAMA_LLAMA_3_1_70B_INSTRUCT = "meta-llama/llama-3.1-70b-instruct", - MODEL_MISTRALAI_CODESTRAL_MAMBA = "mistralai/codestral-mamba", - MODEL_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", - MODEL_MISTRALAI_MISTRAL_NEMO = "mistralai/mistral-nemo", - MODEL_OPENAI_GPT_4O_MINI = "openai/gpt-4o-mini", - MODEL_OPENAI_GPT_4O_MINI_2024_07_18 = "openai/gpt-4o-mini-2024-07-18", - MODEL_GOOGLE_GEMMA_2_27B_IT = "google/gemma-2-27b-it", - MODEL_ALPINDALE_MAGNUM_72B = "alpindale/magnum-72b", - MODEL_GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free", - MODEL_GOOGLE_GEMMA_2_9B_IT = "google/gemma-2-9b-it", - MODEL_01_AI_YI_LARGE = "01-ai/yi-large", - MODEL_AI21_JAMBA_INSTRUCT = "ai21/jamba-instruct", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_20240620_BETA = "anthropic/claude-3.5-sonnet-20240620:beta", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_20240620 = "anthropic/claude-3.5-sonnet-20240620", - MODEL_SAO10K_L3_EURYALE_70B = "sao10k/l3-euryale-70b", - MODEL_COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X22B = "cognitivecomputations/dolphin-mixtral-8x22b", - MODEL_QWEN_QWEN_2_72B_INSTRUCT = "qwen/qwen-2-72b-instruct", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT = "mistralai/mistral-7b-instruct", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", - MODEL_NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b", - MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE = "microsoft/phi-3-mini-128k-instruct:free", - MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct", - MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE = "microsoft/phi-3-medium-128k-instruct:free", - MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT = "microsoft/phi-3-medium-128k-instruct", - MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_70B = "neversleep/llama-3-lumimaid-70b", - MODEL_GOOGLE_GEMINI_FLASH_1_5 = "google/gemini-flash-1.5", - MODEL_OPENAI_GPT_4O = "openai/gpt-4o", - MODEL_OPENAI_GPT_4O_EXTENDED = "openai/gpt-4o:extended", - MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", - MODEL_META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", - MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_8B_EXTENDED = "neversleep/llama-3-lumimaid-8b:extended", - MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_8B = "neversleep/llama-3-lumimaid-8b", - MODEL_SAO10K_FIMBULVETR_11B_V2 = "sao10k/fimbulvetr-11b-v2", - MODEL_META_LLAMA_LLAMA_3_8B_INSTRUCT = "meta-llama/llama-3-8b-instruct", - MODEL_META_LLAMA_LLAMA_3_70B_INSTRUCT = "meta-llama/llama-3-70b-instruct", - MODEL_MISTRALAI_MIXTRAL_8X22B_INSTRUCT = "mistralai/mixtral-8x22b-instruct", - MODEL_MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b", - MODEL_MICROSOFT_WIZARDLM_2_7B = "microsoft/wizardlm-2-7b", - MODEL_GOOGLE_GEMINI_PRO_1_5 = "google/gemini-pro-1.5", - MODEL_OPENAI_GPT_4_TURBO = "openai/gpt-4-turbo", - MODEL_COHERE_COMMAND_R_PLUS = "cohere/command-r-plus", - MODEL_COHERE_COMMAND_R_PLUS_04_2024 = "cohere/command-r-plus-04-2024", - MODEL_SOPHOSYMPATHEIA_MIDNIGHT_ROSE_70B = "sophosympatheia/midnight-rose-70b", - MODEL_COHERE_COMMAND = "cohere/command", - MODEL_COHERE_COMMAND_R = "cohere/command-r", - MODEL_ANTHROPIC_CLAUDE_3_HAIKU_BETA = "anthropic/claude-3-haiku:beta", - MODEL_ANTHROPIC_CLAUDE_3_HAIKU = "anthropic/claude-3-haiku", - MODEL_ANTHROPIC_CLAUDE_3_OPUS_BETA = "anthropic/claude-3-opus:beta", - MODEL_ANTHROPIC_CLAUDE_3_OPUS = "anthropic/claude-3-opus", - MODEL_ANTHROPIC_CLAUDE_3_SONNET_BETA = "anthropic/claude-3-sonnet:beta", - MODEL_ANTHROPIC_CLAUDE_3_SONNET = "anthropic/claude-3-sonnet", - MODEL_COHERE_COMMAND_R_03_2024 = "cohere/command-r-03-2024", - MODEL_MISTRALAI_MISTRAL_LARGE = "mistralai/mistral-large", - MODEL_OPENAI_GPT_3_5_TURBO_0613 = "openai/gpt-3.5-turbo-0613", - MODEL_OPENAI_GPT_4_TURBO_PREVIEW = "openai/gpt-4-turbo-preview", - MODEL_NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO = "nousresearch/nous-hermes-2-mixtral-8x7b-dpo", - MODEL_MISTRALAI_MISTRAL_MEDIUM = "mistralai/mistral-medium", - MODEL_MISTRALAI_MISTRAL_SMALL = "mistralai/mistral-small", - MODEL_MISTRALAI_MISTRAL_TINY = "mistralai/mistral-tiny", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2 = "mistralai/mistral-7b-instruct-v0.2", - MODEL_COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X7B = "cognitivecomputations/dolphin-mixtral-8x7b", - MODEL_GOOGLE_GEMINI_PRO_VISION = "google/gemini-pro-vision", - MODEL_GOOGLE_GEMINI_PRO = "google/gemini-pro", - MODEL_MISTRALAI_MIXTRAL_8X7B = "mistralai/mixtral-8x7b", - MODEL_MISTRALAI_MIXTRAL_8X7B_INSTRUCT = "mistralai/mixtral-8x7b-instruct", - MODEL_OPENCHAT_OPENCHAT_7B_FREE = "openchat/openchat-7b:free", - MODEL_OPENCHAT_OPENCHAT_7B = "openchat/openchat-7b", - MODEL_NEVERSLEEP_NOROMAID_20B = "neversleep/noromaid-20b", - MODEL_ANTHROPIC_CLAUDE_2_1_BETA = "anthropic/claude-2.1:beta", - MODEL_ANTHROPIC_CLAUDE_2_1 = "anthropic/claude-2.1", - MODEL_ANTHROPIC_CLAUDE_2_BETA = "anthropic/claude-2:beta", - MODEL_ANTHROPIC_CLAUDE_2 = "anthropic/claude-2", - MODEL_UNDI95_TOPPY_M_7B_FREE = "undi95/toppy-m-7b:free", - MODEL_UNDI95_TOPPY_M_7B = "undi95/toppy-m-7b", - MODEL_ALPINDALE_GOLIATH_120B = "alpindale/goliath-120b", - MODEL_OPENROUTER_AUTO = "openrouter/auto", - MODEL_OPENAI_GPT_3_5_TURBO_1106 = "openai/gpt-3.5-turbo-1106", - MODEL_OPENAI_GPT_4_1106_PREVIEW = "openai/gpt-4-1106-preview", - MODEL_GOOGLE_PALM_2_CHAT_BISON_32K = "google/palm-2-chat-bison-32k", - MODEL_GOOGLE_PALM_2_CODECHAT_BISON_32K = "google/palm-2-codechat-bison-32k", - MODEL_JONDURBIN_AIROBOROS_L2_70B = "jondurbin/airoboros-l2-70b", - MODEL_XWIN_LM_XWIN_LM_70B = "xwin-lm/xwin-lm-70b", - MODEL_OPENAI_GPT_3_5_TURBO_INSTRUCT = "openai/gpt-3.5-turbo-instruct", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_1 = "mistralai/mistral-7b-instruct-v0.1", - MODEL_PYGMALIONAI_MYTHALION_13B = "pygmalionai/mythalion-13b", - MODEL_OPENAI_GPT_3_5_TURBO_16K = "openai/gpt-3.5-turbo-16k", - MODEL_OPENAI_GPT_4_32K = "openai/gpt-4-32k", - MODEL_OPENAI_GPT_4_32K_0314 = "openai/gpt-4-32k-0314", - MODEL_NOUSRESEARCH_NOUS_HERMES_LLAMA2_13B = "nousresearch/nous-hermes-llama2-13b", - MODEL_MANCER_WEAVER = "mancer/weaver", - MODEL_HUGGINGFACEH4_ZEPHYR_7B_BETA_FREE = "huggingfaceh4/zephyr-7b-beta:free", - MODEL_ANTHROPIC_CLAUDE_2_0_BETA = "anthropic/claude-2.0:beta", - MODEL_ANTHROPIC_CLAUDE_2_0 = "anthropic/claude-2.0", - MODEL_UNDI95_REMM_SLERP_L2_13B = "undi95/remm-slerp-l2-13b", - MODEL_GOOGLE_PALM_2_CHAT_BISON = "google/palm-2-chat-bison", - MODEL_GOOGLE_PALM_2_CODECHAT_BISON = "google/palm-2-codechat-bison", - MODEL_GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b", - MODEL_META_LLAMA_LLAMA_2_13B_CHAT = "meta-llama/llama-2-13b-chat", - MODEL_META_LLAMA_LLAMA_2_70B_CHAT = "meta-llama/llama-2-70b-chat", - MODEL_OPENAI_GPT_3_5_TURBO = "openai/gpt-3.5-turbo", - MODEL_OPENAI_GPT_3_5_TURBO_0125 = "openai/gpt-3.5-turbo-0125", - MODEL_OPENAI_GPT_4 = "openai/gpt-4", - MODEL_OPENAI_GPT_4_0314 = "openai/gpt-4-0314" -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 1 | export const models = [{"id":"deepseek/deepseek-chat","name":"DeepSeek V3","pricing":{"prompt":"0.00000014","completion":"0.00000028","image":"0","request":"0"},"created":1735241320},{"id":"qwen/qvq-72b-preview","name":"Qwen: QvQ 72B Preview","pricing":{"prompt":"0.00000025","completion":"0.0000005","image":"0","request":"0"},"created":1735088567},{"id":"google/gemini-2.0-flash-thinking-exp:free","name":"Google: Gemini 2.0 Flash Thinking Experimental (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1734650026},{"id":"sao10k/l3.3-euryale-70b","name":"Sao10K: Llama 3.3 Euryale 70B","pricing":{"prompt":"0.0000015","completion":"0.0000015","image":"0","request":"0"},"created":1734535928},{"id":"inflatebot/mn-mag-mell-r1","name":"Inflatebot: Mag Mell R1 12B","pricing":{"prompt":"0.0000009","completion":"0.0000009","image":"0","request":"0"},"created":1734535439},{"id":"openai/o1","name":"OpenAI: o1","pricing":{"prompt":"0.000015","completion":"0.00006","image":"0.021675","request":"0"},"created":1734459999},{"id":"eva-unit-01/eva-llama-3.33-70b","name":"EVA Llama 3.33 70b","pricing":{"prompt":"0.000004","completion":"0.000006","image":"0","request":"0"},"created":1734377303},{"id":"x-ai/grok-2-vision-1212","name":"xAI: Grok 2 Vision 1212","pricing":{"prompt":"0.000002","completion":"0.00001","image":"0.0036","request":"0"},"created":1734237338},{"id":"x-ai/grok-2-1212","name":"xAI: Grok 2 1212","pricing":{"prompt":"0.000002","completion":"0.00001","image":"0","request":"0"},"created":1734232814},{"id":"cohere/command-r7b-12-2024","name":"Cohere: Command R7B (12-2024)","pricing":{"prompt":"0.0000000375","completion":"0.00000015","image":"0","request":"0"},"created":1734158152},{"id":"google/gemini-2.0-flash-exp:free","name":"Google: Gemini Flash 2.0 Experimental (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1733937523},{"id":"google/gemini-exp-1206:free","name":"Google: Gemini Experimental 1206 (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1733507713},{"id":"meta-llama/llama-3.3-70b-instruct","name":"Meta: Llama 3.3 70B Instruct","pricing":{"prompt":"0.00000012","completion":"0.0000003","image":"0","request":"0"},"created":1733506137},{"id":"amazon/nova-lite-v1","name":"Amazon: Nova Lite 1.0","pricing":{"prompt":"0.00000006","completion":"0.00000024","image":"0.00009","request":"0"},"created":1733437363},{"id":"amazon/nova-micro-v1","name":"Amazon: Nova Micro 1.0","pricing":{"prompt":"0.000000035","completion":"0.00000014","image":"0","request":"0"},"created":1733437237},{"id":"amazon/nova-pro-v1","name":"Amazon: Nova Pro 1.0","pricing":{"prompt":"0.0000008","completion":"0.0000032","image":"0.0012","request":"0"},"created":1733436303},{"id":"qwen/qwq-32b-preview","name":"Qwen: QwQ 32B Preview","pricing":{"prompt":"0.00000012","completion":"0.00000018","image":"0","request":"0"},"created":1732754541},{"id":"google/gemini-exp-1121:free","name":"Google: Gemini Experimental 1121 (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1732216725},{"id":"google/learnlm-1.5-pro-experimental:free","name":"Google: LearnLM 1.5 Pro Experimental (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1732216551},{"id":"eva-unit-01/eva-qwen-2.5-72b","name":"EVA Qwen2.5 72B","pricing":{"prompt":"0.000004","completion":"0.000006","image":"0","request":"0"},"created":1732210606},{"id":"openai/gpt-4o-2024-11-20","name":"OpenAI: GPT-4o (2024-11-20)","pricing":{"prompt":"0.0000025","completion":"0.00001","image":"0.003613","request":"0"},"created":1732127594},{"id":"mistralai/mistral-large-2411","name":"Mistral Large 2411","pricing":{"prompt":"0.000002","completion":"0.000006","image":"0","request":"0"},"created":1731978685},{"id":"mistralai/mistral-large-2407","name":"Mistral Large 2407","pricing":{"prompt":"0.000002","completion":"0.000006","image":"0","request":"0"},"created":1731978415},{"id":"mistralai/pixtral-large-2411","name":"Mistral: Pixtral Large 2411","pricing":{"prompt":"0.000002","completion":"0.000006","image":"0.002888","request":"0"},"created":1731977388},{"id":"x-ai/grok-vision-beta","name":"xAI: Grok Vision Beta","pricing":{"prompt":"0.000005","completion":"0.000015","image":"0.009","request":"0"},"created":1731976624},{"id":"google/gemini-exp-1114:free","name":"Google: Gemini Experimental 1114 (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1731714740},{"id":"infermatic/mn-inferor-12b","name":"Infermatic: Mistral Nemo Inferor 12B","pricing":{"prompt":"0.00000025","completion":"0.0000005","image":"0","request":"0"},"created":1731464428},{"id":"qwen/qwen-2.5-coder-32b-instruct","name":"Qwen2.5 Coder 32B Instruct","pricing":{"prompt":"0.00000007","completion":"0.00000016","image":"0","request":"0"},"created":1731368400},{"id":"raifle/sorcererlm-8x22b","name":"SorcererLM 8x22B","pricing":{"prompt":"0.0000045","completion":"0.0000045","image":"0","request":"0"},"created":1731105083},{"id":"eva-unit-01/eva-qwen-2.5-32b","name":"EVA Qwen2.5 32B","pricing":{"prompt":"0.0000026","completion":"0.0000034","image":"0","request":"0"},"created":1731104847},{"id":"thedrummer/unslopnemo-12b","name":"Unslopnemo 12b","pricing":{"prompt":"0.0000005","completion":"0.0000005","image":"0","request":"0"},"created":1731103448},{"id":"anthropic/claude-3.5-haiku-20241022:beta","name":"Anthropic: Claude 3.5 Haiku (2024-10-22) (self-moderated)","pricing":{"prompt":"0.0000008","completion":"0.000004","image":"0","request":"0"},"created":1730678400},{"id":"anthropic/claude-3.5-haiku-20241022","name":"Anthropic: Claude 3.5 Haiku (2024-10-22)","pricing":{"prompt":"0.0000008","completion":"0.000004","image":"0","request":"0"},"created":1730678400},{"id":"anthropic/claude-3.5-haiku:beta","name":"Anthropic: Claude 3.5 Haiku (self-moderated)","pricing":{"prompt":"0.0000008","completion":"0.000004","image":"0","request":"0"},"created":1730678400},{"id":"anthropic/claude-3.5-haiku","name":"Anthropic: Claude 3.5 Haiku","pricing":{"prompt":"0.0000008","completion":"0.000004","image":"0","request":"0"},"created":1730678400},{"id":"neversleep/llama-3.1-lumimaid-70b","name":"NeverSleep: Lumimaid v0.2 70B","pricing":{"prompt":"0.000003375","completion":"0.0000045","image":"0","request":"0"},"created":1729555200},{"id":"anthracite-org/magnum-v4-72b","name":"Magnum v4 72B","pricing":{"prompt":"0.000001875","completion":"0.00000225","image":"0","request":"0"},"created":1729555200},{"id":"anthropic/claude-3.5-sonnet:beta","name":"Anthropic: Claude 3.5 Sonnet (self-moderated)","pricing":{"prompt":"0.000003","completion":"0.000015","image":"0.0048","request":"0"},"created":1729555200},{"id":"anthropic/claude-3.5-sonnet","name":"Anthropic: Claude 3.5 Sonnet","pricing":{"prompt":"0.000003","completion":"0.000015","image":"0.0048","request":"0"},"created":1729555200},{"id":"x-ai/grok-beta","name":"xAI: Grok Beta","pricing":{"prompt":"0.000005","completion":"0.000015","image":"0","request":"0"},"created":1729382400},{"id":"mistralai/ministral-8b","name":"Mistral: Ministral 8B","pricing":{"prompt":"0.0000001","completion":"0.0000001","image":"0","request":"0"},"created":1729123200},{"id":"mistralai/ministral-3b","name":"Mistral: Ministral 3B","pricing":{"prompt":"0.00000004","completion":"0.00000004","image":"0","request":"0"},"created":1729123200},{"id":"qwen/qwen-2.5-7b-instruct","name":"Qwen2.5 7B Instruct","pricing":{"prompt":"0.00000027","completion":"0.00000027","image":"0","request":"0"},"created":1729036800},{"id":"nvidia/llama-3.1-nemotron-70b-instruct","name":"NVIDIA: Llama 3.1 Nemotron 70B Instruct","pricing":{"prompt":"0.00000012","completion":"0.0000003","image":"0","request":"0"},"created":1728950400},{"id":"inflection/inflection-3-pi","name":"Inflection: Inflection 3 Pi","pricing":{"prompt":"0.0000025","completion":"0.00001","image":"0","request":"0"},"created":1728604800},{"id":"inflection/inflection-3-productivity","name":"Inflection: Inflection 3 Productivity","pricing":{"prompt":"0.0000025","completion":"0.00001","image":"0","request":"0"},"created":1728604800},{"id":"google/gemini-flash-1.5-8b","name":"Google: Gemini Flash 1.5 8B","pricing":{"prompt":"0.0000000375","completion":"0.00000015","image":"0","request":"0"},"created":1727913600},{"id":"anthracite-org/magnum-v2-72b","name":"Magnum v2 72B","pricing":{"prompt":"0.000003","completion":"0.000003","image":"0","request":"0"},"created":1727654400},{"id":"liquid/lfm-40b","name":"Liquid: LFM 40B MoE","pricing":{"prompt":"0.00000015","completion":"0.00000015","image":"0","request":"0"},"created":1727654400},{"id":"thedrummer/rocinante-12b","name":"Rocinante 12B","pricing":{"prompt":"0.00000025","completion":"0.0000005","image":"0","request":"0"},"created":1727654400},{"id":"meta-llama/llama-3.2-3b-instruct:free","name":"Meta: Llama 3.2 3B Instruct 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Instruct","pricing":{"prompt":"0.00000024","completion":"0.00000024","image":"0","request":"0"},"created":1702166400},{"id":"mistralai/mixtral-8x7b-instruct:nitro","name":"Mistral: Mixtral 8x7B Instruct (nitro)","pricing":{"prompt":"0.00000054","completion":"0.00000054","image":"0","request":"0"},"created":1702166400},{"id":"openchat/openchat-7b:free","name":"OpenChat 3.5 7B (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1701129600},{"id":"openchat/openchat-7b","name":"OpenChat 3.5 7B","pricing":{"prompt":"0.000000055","completion":"0.000000055","image":"0","request":"0"},"created":1701129600},{"id":"neversleep/noromaid-20b","name":"Noromaid 20B","pricing":{"prompt":"0.0000015","completion":"0.00000225","image":"0","request":"0"},"created":1700956800},{"id":"anthropic/claude-2:beta","name":"Anthropic: Claude v2 (self-moderated)","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1700611200},{"id":"anthropic/claude-2","name":"Anthropic: Claude v2","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1700611200},{"id":"anthropic/claude-2.1:beta","name":"Anthropic: Claude v2.1 (self-moderated)","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1700611200},{"id":"anthropic/claude-2.1","name":"Anthropic: Claude v2.1","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1700611200},{"id":"teknium/openhermes-2.5-mistral-7b","name":"OpenHermes 2.5 Mistral 7B","pricing":{"prompt":"0.00000017","completion":"0.00000017","image":"0","request":"0"},"created":1700438400},{"id":"lizpreciatior/lzlv-70b-fp16-hf","name":"lzlv 70B","pricing":{"prompt":"0.00000035","completion":"0.0000004","image":"0","request":"0"},"created":1699747200},{"id":"undi95/toppy-m-7b:free","name":"Toppy M 7B (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1699574400},{"id":"undi95/toppy-m-7b:nitro","name":"Toppy M 7B (nitro)","pricing":{"prompt":"0.00000007","completion":"0.00000007","image":"0","request":"0"},"created":1699574400},{"id":"undi95/toppy-m-7b","name":"Toppy M 7B","pricing":{"prompt":"0.00000007","completion":"0.00000007","image":"0","request":"0"},"created":1699574400},{"id":"alpindale/goliath-120b","name":"Goliath 120B","pricing":{"prompt":"0.000009375","completion":"0.000009375","image":"0","request":"0"},"created":1699574400},{"id":"openrouter/auto","name":"Auto Router (best for prompt)","pricing":{"prompt":"-1","completion":"-1","request":"-1","image":"-1"},"created":1699401600},{"id":"openai/gpt-3.5-turbo-1106","name":"OpenAI: GPT-3.5 Turbo 16k (older v1106)","pricing":{"prompt":"0.000001","completion":"0.000002","image":"0","request":"0"},"created":1699228800},{"id":"openai/gpt-4-1106-preview","name":"OpenAI: GPT-4 Turbo (older v1106)","pricing":{"prompt":"0.00001","completion":"0.00003","image":"0","request":"0"},"created":1699228800},{"id":"google/palm-2-chat-bison-32k","name":"Google: PaLM 2 Chat 32k","pricing":{"prompt":"0.000001","completion":"0.000002","image":"0","request":"0"},"created":1698969600},{"id":"google/palm-2-codechat-bison-32k","name":"Google: PaLM 2 Code Chat 32k","pricing":{"prompt":"0.000001","completion":"0.000002","image":"0","request":"0"},"created":1698969600},{"id":"jondurbin/airoboros-l2-70b","name":"Airoboros 70B","pricing":{"prompt":"0.0000005","completion":"0.0000005","image":"0","request":"0"},"created":1698537600},{"id":"xwin-lm/xwin-lm-70b","name":"Xwin 70B","pricing":{"prompt":"0.00000375","completion":"0.00000375","image":"0","request":"0"},"created":1697328000},{"id":"openai/gpt-3.5-turbo-instruct","name":"OpenAI: GPT-3.5 Turbo Instruct","pricing":{"prompt":"0.0000015","completion":"0.000002","image":"0","request":"0"},"created":1695859200},{"id":"mistralai/mistral-7b-instruct-v0.1","name":"Mistral: Mistral 7B Instruct v0.1","pricing":{"prompt":"0.00000018","completion":"0.00000018","image":"0","request":"0"},"created":1695859200},{"id":"pygmalionai/mythalion-13b","name":"Pygmalion: Mythalion 13B","pricing":{"prompt":"0.0000008","completion":"0.0000012","image":"0","request":"0"},"created":1693612800},{"id":"openai/gpt-3.5-turbo-16k","name":"OpenAI: GPT-3.5 Turbo 16k","pricing":{"prompt":"0.000003","completion":"0.000004","image":"0","request":"0"},"created":1693180800},{"id":"openai/gpt-4-32k","name":"OpenAI: GPT-4 32k","pricing":{"prompt":"0.00006","completion":"0.00012","image":"0","request":"0"},"created":1693180800},{"id":"openai/gpt-4-32k-0314","name":"OpenAI: GPT-4 32k (older v0314)","pricing":{"prompt":"0.00006","completion":"0.00012","image":"0","request":"0"},"created":1693180800},{"id":"nousresearch/nous-hermes-llama2-13b","name":"Nous: Hermes 13B","pricing":{"prompt":"0.00000017","completion":"0.00000017","image":"0","request":"0"},"created":1692489600},{"id":"mancer/weaver","name":"Mancer: Weaver (alpha)","pricing":{"prompt":"0.0000015","completion":"0.00000225","image":"0","request":"0"},"created":1690934400},{"id":"huggingfaceh4/zephyr-7b-beta:free","name":"Hugging Face: Zephyr 7B (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1690934400},{"id":"anthropic/claude-2.0:beta","name":"Anthropic: Claude v2.0 (self-moderated)","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1690502400},{"id":"anthropic/claude-2.0","name":"Anthropic: Claude v2.0","pricing":{"prompt":"0.000008","completion":"0.000024","image":"0","request":"0"},"created":1690502400},{"id":"undi95/remm-slerp-l2-13b","name":"ReMM SLERP 13B","pricing":{"prompt":"0.0000008","completion":"0.0000012","image":"0","request":"0"},"created":1689984000},{"id":"undi95/remm-slerp-l2-13b:extended","name":"ReMM SLERP 13B (extended)","pricing":{"prompt":"0.000001125","completion":"0.000001125","image":"0","request":"0"},"created":1689984000},{"id":"google/palm-2-chat-bison","name":"Google: PaLM 2 Chat","pricing":{"prompt":"0.000001","completion":"0.000002","image":"0","request":"0"},"created":1689811200},{"id":"google/palm-2-codechat-bison","name":"Google: PaLM 2 Code Chat","pricing":{"prompt":"0.000001","completion":"0.000002","image":"0","request":"0"},"created":1689811200},{"id":"gryphe/mythomax-l2-13b:free","name":"MythoMax 13B (free)","pricing":{"prompt":"0","completion":"0","image":"0","request":"0"},"created":1688256000},{"id":"gryphe/mythomax-l2-13b","name":"MythoMax 13B","pricing":{"prompt":"0.000000065","completion":"0.000000065","image":"0","request":"0"},"created":1688256000},{"id":"gryphe/mythomax-l2-13b:nitro","name":"MythoMax 13B (nitro)","pricing":{"prompt":"0.0000002","completion":"0.0000002","image":"0","request":"0"},"created":1688256000},{"id":"gryphe/mythomax-l2-13b:extended","name":"MythoMax 13B (extended)","pricing":{"prompt":"0.000001125","completion":"0.000001125","image":"0","request":"0"},"created":1688256000},{"id":"meta-llama/llama-2-13b-chat","name":"Meta: Llama 2 13B Chat","pricing":{"prompt":"0.000000198","completion":"0.000000198","image":"0","request":"0"},"created":1687219200},{"id":"openai/gpt-3.5-turbo","name":"OpenAI: GPT-3.5 Turbo","pricing":{"prompt":"0.0000005","completion":"0.0000015","image":"0","request":"0"},"created":1685232000},{"id":"openai/gpt-3.5-turbo-0125","name":"OpenAI: GPT-3.5 Turbo 16k","pricing":{"prompt":"0.0000005","completion":"0.0000015","image":"0","request":"0"},"created":1685232000},{"id":"openai/gpt-4","name":"OpenAI: GPT-4","pricing":{"prompt":"0.00003","completion":"0.00006","image":"0","request":"0"},"created":1685232000},{"id":"openai/gpt-4-0314","name":"OpenAI: GPT-4 (older v0314)","pricing":{"prompt":"0.00003","completion":"0.00006","image":"0","request":"0"},"created":1685232000}] |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import chalk from 'chalk' -import * as path from 'node:path' -import { sync as read } from '@polymech/fs/read' -import { sync as exists } from '@polymech/fs/exists' - -import { logger, module_root } from '../index.js' -import { CACHE_PATH as OPENROUTER_CACHE_PATH, CachedModels as OpenRouterCachedModels, fetchOpenRouterModels, listModelsAsStrings as listOpenRouterModelsAsStrings } from './openrouter.js' -import { CACHE_PATH as OPENAI_CACHE_PATH, CachedModels as OpenAICachedModels, listModelsAsStrings as listOpenAIModelsAsStrings } from './openai.js' - -import { fetchOpenAIModels } from '../models/openai.js' -import { CONFIG_DEFAULT } from '@polymech/commons' - -import { models as OpenAIModels } from './cache/openai.js' -import { models as OpenRouterModels } from './cache/openrouter.js' - -export const models_dist = () => { - - let or_models = OpenRouterModels - let oai_models = OpenAIModels - let deepseek_models = [ - { - "id": "deepseek-chat", - "name": "deepseek-chat" - }, - { - "id": "deepseek-reasoner", - "name": "deepseek-reasoner" - }, - ] - - const modelsOpenAIPath = path.resolve(module_root(), 'openai.json') - if (exists(modelsOpenAIPath)) { - oai_models = read(modelsOpenAIPath, 'json') as any - } - - const modelsRouterPath = path.resolve(module_root(), 'openrouter.json') - if (exists(modelsRouterPath)) { - or_models = read(modelsRouterPath, 'json') as any - } - const models: string[] = [] - models.push(chalk.magenta.bold('\n OpenRouter models:\n')) - models.push(...listOpenRouterModelsAsStrings(or_models as any)) - - models.push(chalk.magenta.bold('\n OpenAI models:\n')) - models.push(...listOpenAIModelsAsStrings(oai_models as any)) - models.push('-----\n') - - models.push(chalk.magenta.bold('\n Deepseek models:\n')) - models.push(...listOpenAIModelsAsStrings(deepseek_models as any)) - models.push('-----\n') - return models -} - -export const models = () => { - const models: string[] = [] - const openRouterPath = path.resolve(OPENROUTER_CACHE_PATH) - if (!exists(openRouterPath)) { - fetchOpenRouterModels() - }else{ - const modelData: OpenRouterCachedModels = read(openRouterPath, 'json') as OpenRouterCachedModels - models.push(chalk.magenta.bold('\n OpenRouter models:\n')) - models.push(...listOpenRouterModelsAsStrings(modelData.models)) - } - logger.debug('Openrouter models cache: ', OPENAI_CACHE_PATH) - - const openAIPath = path.resolve(OPENAI_CACHE_PATH) - const config = CONFIG_DEFAULT() as any - if (!exists(openAIPath) && config?.openai?.key) { - fetchOpenAIModels(config.openai.key) - } - - if (exists(openAIPath)) { - const modelData: OpenAICachedModels = read(openAIPath, 'json') as OpenAICachedModels - models.push(chalk.magenta.bold('\n OpenAI models:\n')) - models.push(...listOpenAIModelsAsStrings(modelData.models)) - } - logger.debug('OpenAI models cache: ', OPENAI_CACHE_PATH) - models.push('-----\n') - return models -} - -export const all = () => { - let models: any[] = [] - const openRouterPath = path.resolve(OPENROUTER_CACHE_PATH) - if (!exists(openRouterPath)) { - fetchOpenRouterModels() - }else{ - const modelData: OpenRouterCachedModels = read(openRouterPath, 'json') as OpenRouterCachedModels - models = models.concat(modelData.models) - } - const openAIPath = path.resolve(OPENAI_CACHE_PATH) - const config = CONFIG_DEFAULT() as any - if (!exists(openAIPath) && config?.openai?.key) { - fetchOpenAIModels(config.openai.key) - } - - if (exists(openAIPath)) { - const modelData: OpenAICachedModels = read(openAIPath, 'json') as OpenAICachedModels - models.push(chalk.magenta.bold('\n OpenAI models:\n')) - models = models.concat(modelData.models) - } - return models -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import OpenAI from 'openai' -import * as path from 'node:path' -import { sync as exists } from '@polymech/fs/exists' -import { sync as read } from '@polymech/fs/read' -import { sync as write } from '@polymech/fs/write' - -import { logger } from '../index.js' - -interface OpenAIModel { - id: string; - created: number; - owned_by: string; - root?: string; - parent?: string | null; -} -export interface CachedModels { - timestamp: number; - models: OpenAIModel[]; -} -import { fileURLToPath } from 'node:url'; -//export const CACHE_PATH = path.resolve(path.join(path.parse(__filename).dir), 'data', 'openrouter_models.json') -const __dirname = fileURLToPath(new URL('.', import.meta.url)); -export const CACHE_PATH = path.resolve(path.join(path.parse(__dirname).dir, 'data', 'openai_models.json')) - -const CACHE_DURATION = 24 * 60 * 60 * 1000 - -async function readFromCache(cachePath: string = CACHE_PATH): Promise<OpenAIModel[] | null> { - try { - if (!exists(cachePath)) { - return null - } - const cacheData = read(cachePath) as CachedModels - const now = Date.now() - if (now - cacheData.timestamp > CACHE_DURATION) { - //return null - } - return cacheData.models - } catch (error) { - logger.error('Error reading from cache:', error) - return null - } -} -function writeToCache(models: OpenAIModel[], cachePath: string = CACHE_PATH): void { - try { - const cacheData: CachedModels = { - timestamp: Date.now(), - models - } - write(cachePath, cacheData) - } catch (error) { - logger.error('Error writing to cache:', error) - } -} -export async function fetchOpenAIModels(apiKey: string, cachePath: string = CACHE_PATH): Promise<OpenAIModel[]> { - try { - const openai = new OpenAI({ apiKey }) - const response = await openai.models.list() - const models = response.data - logger.info(`Fetched ${models.length} OpenAI models, to ${cachePath}`) - writeToCache(models, cachePath) - return models - } catch (error) { - logger.error('Error fetching OpenAI models:', error) - throw error - } -} -export function listModelsAsStrings(models: OpenAIModel[]): string[] { - models = models.sort((a, b) => a.id.localeCompare(b.id)) - return models.map((model) => `${model.id}`); -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import axios from 'axios' -import * as path from 'node:path'; - -import { sync as exists } from '@polymech/fs/exists' -import { sync as read } from '@polymech/fs/read' -import { sync as write } from '@polymech/fs/write' - -import { logger } from '../index.js' - -interface ModelPricing { - prompt: number; - completion: number; - image: number; -} - -interface ModelContext { - max_tokens: number; - supported_parameters: string[]; -} - -interface TopProvider { - context_length: number; - max_completion_tokens: number | null; - is_moderated: boolean; - supports_functions?: boolean; - supports_function_calling?: boolean; - supports_tools?: boolean; -} - -export interface OpenRouterModel { - id: string; - name: string; - description: string; - pricing: ModelPricing; - context: ModelContext; - created: number; - top_provider?: TopProvider; -} - -interface OpenRouterResponse { - data: OpenRouterModel[]; -} - -export interface CachedModels { - timestamp: number; - models: OpenRouterModel[]; -} - -import { fileURLToPath } from 'node:url'; -//export const CACHE_PATH = path.resolve(path.join(path.parse(__filename).dir), 'data', 'openrouter_models.json') -const __dirname = fileURLToPath(new URL('.', import.meta.url)); -export const CACHE_PATH = path.resolve(path.join(path.parse(__dirname).dir, 'data', 'openrouter_models.json')) -const CACHE_DURATION = 24 * 60 * 60 * 1000; // 24 hours in milliseconds - -export const readFromCache = (cachePath: string = CACHE_PATH): Promise<OpenRouterModel[] | null> => { - try { - if (!exists(cachePath)) { - return null - } - const cacheData = read(cachePath, 'json') as CachedModels; - const now = Date.now(); - if (now - cacheData.timestamp > CACHE_DURATION) { - //return null - } - return cacheData.models as any; - } catch (error) { - logger.error('Error reading from cache:', error) - return null; - } -} -function writeToCache(models: OpenRouterModel[], cachePath: string = CACHE_PATH): void { - const cacheData: CachedModels = { - timestamp: Date.now(), - models - }; - write(cachePath, cacheData) -} - -export const fetchOpenRouterModels = async (cachePath: string = CACHE_PATH): Promise<OpenRouterModel[]> => { - try { - // If no cache or expired, fetch from API - const response = await axios.get<OpenRouterResponse>( - 'https://openrouter.ai/api/v1/models', - { - params: { - // supported_parameters: 'tools' - } - } - ) - writeToCache(response.data.data) - logger.debug(`Fetched ${response.data.data.length} OpenRouter models to ${cachePath}`) - return response.data.data as any[] - } catch (error) { - logger.error('Error fetching OpenRouter models:', error) - throw error; - } -} - -export function findFreeModels(models: OpenRouterModel[]): OpenRouterModel[] { - return models.filter( - (model) => - model.pricing.prompt === 0 && - model.pricing.completion === 0 && - model.pricing.image === 0 - ); -} -export function findFreePromptModels(models: OpenRouterModel[]): OpenRouterModel[] { - return models.filter((model) => model.pricing.prompt === 0); -} - -export function findFreeCompletionModels(models: OpenRouterModel[]): OpenRouterModel[] { - return models.filter((model) => model.pricing.completion === 0); -} - -export function findFreeImageModels(models: OpenRouterModel[]): OpenRouterModel[] { - return models.filter((model) => model.pricing.image === 0); -} -export function listModelsAsStrings(models: OpenRouterModel[]): string[] { - models = models.sort((a, b) => a.name.localeCompare(b.name)) - return models.map((model) => { - const isFree = model.name.includes('free') - return `${model.id} | ${isFree ? 'free' : 'paid'}` - }) -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' - -import { isFile, resolve } from '@polymech/commons' -import { sync as exists } from '@polymech/fs/exists' -import { IProfile, parse } from '@polymech/commons' - -import { IKBotTask } from '@polymech/ai-tools' - -import { env_vars } from './utils/env.js' - -const testPath = (profilePath: string) => { - if(!profilePath){ - return - } - const ret= path.resolve(resolve(profilePath, false, env_vars())) - if(exists(ret)) return ret -} - -export const load = async (options: IKBotTask): Promise<Record<string, string>> => { - let profile: IProfile = { includes: [], variables: options.variables || {}, env: {} } - let profilePath = testPath(options.profile || path.join(options.logs as string, 'profile.json')) - if(!profilePath || !exists(profilePath) || !isFile(profilePath)){ - return profile.variables - } - profile = parse(profilePath, profile, { env: options.env || 'default' }) || profile - return profile.variables -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { IKBotTask } from '@polymech/ai-tools' - -import { ChatCompletionMessageParam } from 'openai/resources/index.mjs' - -import { sync as read } from '@polymech/fs/read' -import { sync as exists } from '@polymech/fs/exists' -import { resolve } from '@polymech/commons' -import * as path from 'node:path' - -import { resolveQuery } from './utils/input.js' -import { env_vars } from './utils/env.js' -import { PREFERENCES_FILE_NAME } from './constants.js' - -export const prompt = async (opts: IKBotTask): Promise<ChatCompletionMessageParam | undefined> => { - const input = await resolveQuery(opts) - return { - role: "user", - content: input || '' - } -} - -export const preferences = async (opts: IKBotTask): Promise<ChatCompletionMessageParam | undefined> => { - // First try local preferences - let preferencesPath = path.resolve(path.join(process.cwd(), PREFERENCES_FILE_NAME)) - if (!exists(preferencesPath)) { - // Fall back to specified preferences path if local file doesn't exist - preferencesPath = path.resolve(resolve(opts.preferences, false, env_vars())) - } - const preferences = read(preferencesPath, 'string') as string - return { - role: "user", - content: `USER Preferences : ${preferences}` || '' - } -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| File | -- | Statements | -- | Branches | -- | Functions | -- | Lines | -- |
|---|---|---|---|---|---|---|---|---|---|
| translate_commons.ts | -
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- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'path' -import { isString, isArray, isObject, isNumber } from '@polymech/core/primitives' -import { sync as read } from "@polymech/fs/read" -import { sync as write } from "@polymech/fs/write" -import { minify as minify_html } from 'html-minifier-terser' - -import { IOptions, TranslateFilter } from '../types.js' -import { store, get } from './store.js' -import * as deepl from './deepl.js' - -const minify = false - -import { - defaultFilters, - defaultOptions, - transformObject, - TransformOptions, - testFilters -} from '../async-iterator.js' - -import { update } from './glossary.js' - -import { createLogger } from '@polymech/log' -export let logger = createLogger('i18n') - -export const clean = (text: string = "") => text.trim() -export const extension = (file: string) => path.parse(file).ext - -export const getTranslation = (translations: any, all: boolean = false) => { - if (!all) { - if (translations && translations[0] && translations[0].text) { - return translations[0].text - } - } else { - return translations - } - return false -} -export const storeSet = (storePath: string, text: string, translation: string, file: string = '') => { - const store = read(storePath, 'json') || {} - store[text] = clean(translation) - write(storePath, store) -} -export const storeGet = (storePath: string, text: string, file: string = '') => { - const db = read(storePath, 'json') || {} - if (db[text]) { - return db[text] - } -} -export const translateObjectAIT = async (obj: any, src: string, options: IOptions) => { - const opts: TransformOptions = defaultOptions({ - throttleDelay: 100, - concurrentTasks: 1, - path: options.query, - filterCallback: testFilters( - defaultFilters([ - async (input) => !options.keys.includes(input) - ]) - ), - transform: async (input: string, path: string) => { - if ((isNumber(input) || parseInt(input))) { - return input - } - const stored = get(options.store, input as string, options) - if (stored) { - return stored - } - const translated = await _translate(input, src, options) - if (translated) { - if (options.store) { - store(options.store, input, translated, options) - } - return translated - } - return input - }, - errorCallback: (path: string, value: string, error: any) => { - logger.error(`Error at path: ${path}, value: ${value}, error: ${error}`) - return value - } - } as TransformOptions) - try { - await transformObject(obj, opts.transform, opts.path, opts.throttleDelay, opts.concurrentTasks, opts.errorCallback, opts.filterCallback) - return obj - } catch (error) { - logger.error('Translation failed:', error) - } -} -export const translateDeepL = async ( - text: string, - srcLang: string = 'EN', - dstLang: string = 'DE', - dOptions: deepl.IDeepLOptions, - options: IOptions = {}, - file: string = '') => { - - if (minify) { - text = await minify_html(text, { - collapseWhitespace: true - }) - } - let glossary - try { - glossary = await update(srcLang.toLowerCase(), dstLang.toLowerCase(), options) - } catch (e) { - logger.warn('Error updating glossary', e.message) - } - const deeplOptions = { - preserve_formatting: '1', - tag_handling: ["xml"], - ...dOptions, - text: text, - target_lang: dstLang as deepl.DeepLLanguages, - source_lang: srcLang as deepl.DeepLLanguages, - formality: options.formality || 'default', - } as deepl.IDeepLOptions - - if (glossary && glossary.glossaryId) { - deeplOptions.glossary_id = glossary.glossaryId - } - // logger.info('Translate:', deeplOptions) - let ret: any = await deepl.translate_deepl(deeplOptions) as deepl.IDeepLResponse - if (!ret) { - logger.error('Translate failed : ' + text, file) - return false - } - ret = ret?.data - if (options.filters) { - (ret.translations).forEach((t, i) => { - (options.filters as TranslateFilter[]).forEach((f) => { - ret.translations[i].text = f(text, t.text, file) - }) - }) - } - return ret.translations -} -const _translate = async (value: string, src: string, options: IOptions) => { - - const translations = await translateDeepL(value as string, options.srcLang, options.dstLang, - { - auth_key: options.api_key, - formality: options.formality || 'default', - free_api: false - } as any, options, src) - - return getTranslation(translations) -} -export const translateObject = async (obj: any, src: string, options: IOptions) => { - if (isNumber(obj)) { - return obj - } - if (isString(obj) && !obj.trim().length) { - return obj - } - - if (isString(obj) && options.store) { - const stored = get(options.store, obj as string, options) - if (stored && options.cache) { - return stored - } - const ret = await _translate(obj as string, src, options) - if (ret && options.store) { - store(options.store, obj, ret, options) - return ret - } else { - console.error('Error translating : ', obj) - } - return obj - } - if (isObject(obj) || isArray(obj)) { - for await (const [key, value] of Object.entries(obj)) { - if (!obj[key]) { - continue - } - if (!isString(key)) { - continue - } - if (isString(value) && options.keys && !options.keys.includes(key)) { - continue - } - if (isString(value)) { - const stored = get(options.store, value as string, options) - if (stored && options.cache) { - obj[key] = stored - } else { - obj[key] = await _translate(value as string, src, options) - if (options.store) { - store(options.store, value, obj[key], options) - } - } - } else if (isObject(value)) { - obj[key] = await translateObject(value, src, options) - } else if (isArray(value)) { - let i = 0 - for await (const v of value) { - if (!v) continue - value[i] = await translateObject(v, src, options) - i++ - } - } - } - } - return obj -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'path' -import { JSONPath } from 'jsonpath-plus' -import { get_cached, set_cached } from '@polymech/cache' -import XLSX from 'xlsx' -import { OSR_CACHE } from '@polymech/commons' -import { sync as read } from "@polymech/fs/read" -import { sync as exists } from "@polymech/fs/exists" -import { sync as mkdir } from "@polymech/fs/dir" -import { MODULE_NAME } from '../constants.js' -import { IOptions } from '../types.js' -import { logger, translateObjectAIT } from './translate_commons.js' - -export const translateXLS = async (src: string, dst: string, options: IOptions) => { - logger.debug(`Translating ${src} to ${dst}`) - if (!exists(src)) { - logger.error(`Translating ${src} : not found`) - return - } - const dstDir = path.parse(dst).dir - mkdir(dstDir) - const osr_cache = OSR_CACHE() - const cached = await get_cached(src, { keys: options.keys }, MODULE_NAME) - if (osr_cache && cached && options.cache && exists(dst)) { - return cached - } - const data = read(src, 'buffer') as Buffer - const workbook = XLSX.read(data) - const worksheet = workbook.Sheets[workbook.SheetNames[0]]; - const raw_data: any[] = XLSX.utils.sheet_to_json(worksheet, { header: 1, blankrows: false, raw: false, skipHidden: true }); - const queryResult = JSONPath( - { - path: options.query, - json: raw_data, - - }) - let translated - try { - translated = await translateObjectAIT(raw_data, src, { - ...options, - keys: queryResult - }) - } catch (error) { - logger.error(`Error translating XLSX ${src}`, error) - return - } - if (!translated) { - logger.error(`Error translating XLSX ${src}`) - return - } - const sheetOut = XLSX.utils.json_to_sheet(translated, { skipHeader: true }) - const workbookOut = XLSX.utils.book_new() - XLSX.utils.book_append_sheet(workbookOut, sheetOut, workbook.SheetNames[0]) - XLSX.writeFileXLSX(workbookOut, dst) - osr_cache && options.cache && await set_cached(src, { keys: options.keys }, MODULE_NAME, translated) - return dst -} - |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import * as fs from 'node:fs' -import { sync as read } from '@polymech/fs/read' -import { sync as dir } from '@polymech/fs/dir' - -import { createItem as toNode } from '@polymech/fs/inspect' -import { sync as exists } from '@polymech/fs/exists' -import { isFile, forward_slash } from '@polymech/commons' -import { logger } from './index.js' -import { lookup } from 'mime-types' -import { globSync } from 'glob' -import { EXCLUDE_GLOB, MAX_FILE_SIZE } from './constants.js' -import { defaultMimeRegistry, IHandlerResult } from './mime-handlers.js' -import { ChatCompletionContentPartImage } from 'openai/resources/index.mjs' -import { IKBotTask, ICollector } from '@polymech/ai-tools' -import { supported } from './commands/run-assistant.js' -import { handleWebUrl } from './http.js' - -/** - * @todos - * - add support for vector stores : https://platform.openai.com/docs/assistants/tools/file-search?lang=node.js - */ - -export const default_filters = { - isFile, - exists, - size: (filePath: string) => toNode(filePath).size < MAX_FILE_SIZE, -}; - -const isPathInside = (childPath: string, parentPath: string): boolean => { - const relation = path.relative(parentPath, childPath); - return Boolean( - relation && - !relation.startsWith('..') && - !relation.startsWith('..' + path.sep) - ); -}; - -export const isPathOutsideSafe = (pathA: string, pathB: string): boolean => { - const realA = fs.realpathSync(pathA); - const realB = fs.realpathSync(pathB); - return !isPathInside(realA, realB); -}; - -export const base64 = (filePath: string): string | null => { - try { - const fileBuffer = fs.readFileSync(filePath); - const mimeType = lookup(filePath); - if (!mimeType) { - throw new Error('Unable to determine MIME type.'); - } - const base64Data = fileBuffer.toString('base64'); - return `data:${mimeType};base64,${base64Data}`; - } catch (error) { - logger.error('fileToBase64 : Error reading file:', error); - return null; - } -}; - -export const images = (files: string[]): ChatCompletionContentPartImage[] => { - return files.map((f) => ({ - type: "image_url", - image_url: { url: base64(f) } - })) -} - -/** - * Check if a string is a web URL - */ -export const isWebUrl = (str: string): boolean => { - return /^https?:\/\//.test(str); -} - -export const glob = ( - projectPath: string, - include: string[] = [] -): { files: string[], webUrls: Set<string> } => { - if (!exists(projectPath)) { - dir(projectPath) - return { files: [], webUrls: new Set<string>() } - } - - const filters = new Set<string>() - const absolutePaths = new Set<string>() - const webUrls = new Set<string>() - - EXCLUDE_GLOB.forEach(pattern => filters.add(pattern)) - - include.forEach(pattern => { - // Check if the pattern is a web URL - if (isWebUrl(pattern)) { - webUrls.add(pattern) - return - } - - if (path.isAbsolute(pattern)) { - if (isPathInside(pattern, projectPath)) { - filters.add(pattern) - } else { - absolutePaths.add(pattern) - } - } else { - filters.add(pattern) - } - }) - - const globFiles = globSync([...filters], { - cwd: projectPath, - absolute: false, - ignore: EXCLUDE_GLOB - }) - - const allFiles = Array.from(new Set([ - ...globFiles.map(file => path.join(projectPath, file)), - ...Array.from(absolutePaths) - ])) - - let files = allFiles.filter((f) => - Object.keys(default_filters).every((key) => default_filters[key](f)) - ) - return { files, webUrls } -} - -export async function get( - projectPath: string, - include: string[] = [], - options: IKBotTask -): Promise<Array<IHandlerResult>> { - const { files, webUrls } = glob(projectPath, include) - - // Process file contents - const fileResults = files.map((fullPath) => { - try { - const relativePath = forward_slash(path.relative(projectPath, fullPath)) - if (isFile(fullPath) && exists(fullPath)) { - const mimeType = lookup(fullPath) || 'text/plain' - const handler = defaultMimeRegistry.getHandler(mimeType) - if (handler) { - return handler.handle(fullPath, relativePath) - } - return defaultMimeRegistry.getHandler('text/*')?.handle(fullPath, relativePath) || null - } - return null - } catch (error) { - logger.error(`Error reading file ${fullPath}:`, error) - return null - } - }) - - // Process web URLs - const webUrlPromises = Array.from(webUrls).map(async (url: string) => { - try { - return await handleWebUrl(url) - } catch (error) { - logger.error(`Error processing web URL ${url}:`, error) - return null - } - }) - - const webResults = await Promise.all(webUrlPromises) - - // Combine and filter results - const results = [...fileResults, ...webResults].filter((r) => r !== null) - return results -} - -export async function vectorize(file: string, options: IKBotTask): Promise<string> { - if (!options.client) { - throw new Error('OpenAI client is required for vectorization') - } - - const ext = path.extname(file).toLowerCase() - if (!(ext in supported)) { - throw new Error(`Unsupported file format: ${ext}. Supported formats: ${Object.keys(supported).join(', ')}`) - } - - try { - // Create a vector store - const vectorStore = await options.client.vectorStores.create({ - name: path.basename(file) - }) - - // Upload file to vector store - const fileStream = fs.createReadStream(file) - await options.client.vectorStores.fileBatches.uploadAndPoll(vectorStore.id, { - files: [fileStream] - }) - - // Create meta file path by appending .meta.json to the original file path - const metaPath = `${file}.meta.json` - const metaData = { - vectorStoreId: vectorStore.id, - vectorizedAt: new Date().toISOString(), - originalPath: file, - mimeType: supported[ext] - } - - // Write meta data to file - fs.writeFileSync(metaPath, JSON.stringify(metaData, null, 2)) - - return vectorStore.id - } catch (error) { - logger.error(`Failed to vectorize file ${file}:`, error) - throw error - } -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | export const foo = 2
-
-/*
-import { Document } from "@langchain/core/documents";
-import {
- CharacterTextSplitter,
- LatexTextSplitter,
- MarkdownTextSplitter,
- RecursiveCharacterTextSplitter,
- TokenTextSplitter,
-} from "@langchain/textsplitters"
-
-/*
-
-export const splitter_text = async (text: string, options: any) => {
-
- const splitter = new CharacterTextSplitter({
- separator: " ",
- chunkSize: 7,
- chunkOverlap: 3,
- });
- const output = await splitter.splitText(text);
-}
-
-export const splitter_md = async (text: string, options: any) => {
-
- const splitter = new MarkdownTextSplitter({
- chunkSize: 60,
- chunkOverlap: 3,
- });
- const output = await splitter.splitText(text);
-}
-*/ |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import { ChatCompletionMessageParam } from "openai/resources/chat/completions" -import { resolve } from '@polymech/commons' -import { } from '@polymech/commons/config' -import { sync as exists } from '@polymech/fs/exists' -import * as path from 'node:path' - -import { tools as defaultTools } from "@polymech/ai-tools/tools" -import { logger } from './index.js' -import { IKBotOptions } from './zod_types.js' -import { RunnableToolFunctionWithParse } from "openai/lib/RunnableFunction" - -import { after, before } from '@polymech/core/aspects_simple' -import { IKBotTask } from '@polymech/ai-tools' - -export type TMessageParam = ChatCompletionMessageParam & { type?: string } - -export const defaultTemplate = { - include: [ - "!node_modules/**/*", - "!dist/**/*", - "!build/**/*", - "!coverage/**/*", - "!*.log", - "!.kbot", - "!.git", - "*" - ], - messages: [], - tools: ['fs', 'git', 'interact', 'terminal', 'search', 'web', 'email', 'user'] -} -export const resolve_package_path = (dir: string): string => resolve(path.join(__dirname, dir || '')) -const loadToolFromPath = async (toolPath: string, target: string, options: IKBotOptions) => { - try { - const absolutePath = path.resolve(toolPath) - if (!exists(absolutePath)) { - logger.warn(`Tool path not found: ${absolutePath}`) - return null - } - const toolModule = await import(absolutePath) - if (typeof toolModule.default === 'function') { - return toolModule.default(target, options) - } else { - logger.warn(`Invalid tool module at ${toolPath}: no default export function`) - return null - } - } catch (e) { - logger.error(`Error loading tool from path ${toolPath}:`, e.message) - return null - } -} -export const load = async (options: IKBotTask): Promise<RunnableToolFunctionWithParse<any>[]> => { - const target = path.resolve(options.output || options.path) - const toolsList = options.tools || defaultTemplate.tools - const enabledTools = (toolsList as []).filter(tool => !options.disable.includes(tool)) - const loadedTools = await Promise.all(enabledTools.map(async (tool: string) => { - if (defaultTools[tool]) { - try { - return defaultTools[tool](target, options) - } catch (e) { - logger.error(`Error loading built-in tool ${tool}`, e.message) - return null - } - } - return loadToolFromPath(tool, target, options) - })) - - const tools = loadedTools - .flat() - .filter((tool): tool is RunnableToolFunctionWithParse<any> => { - if (!tool) return false - if (options.disableTools.includes(tool.function.name)) return false - if (tool.function.name === 'completion') return false - return true - }) - - tools.forEach(tool => { - tool.function.function = before(tool.function.function,options.collector.onToolBefore) - tool.function.function = after(tool.function.function,options.collector.onToolAfter) - }) - return tools -} - |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 | - - - - - - - - - - - - - | import { IKBotOptions } from './zod_types.js' -import OpenAI from 'openai' -import { ICollector } from '@polymech/ai-tools' - -export * from './zod_types.js' - -export type onToolCall = (category: string, name: string, args: any, result?: any) => Promise<void> -export type onMessage = (category: string, name: string, args: any, result?: any) => Promise<void> - -export interface IKBotTask extends IKBotOptions -{ - client: OpenAI - collector: ICollector -} |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 -16 -17 -18 -19 -20 -21 -22 -23 | - - - - - - - - - - - - - - - - - - - - - - | export const flatten = (value: string | string[] | undefined): string[] => { - let initialArray: string[] - if (typeof value === "string") { - initialArray = value.split(",") - } else if (Array.isArray(value)) { - initialArray = value.filter((item): item is string => typeof item === "string") - } else { - initialArray = [] - } - - // 2. Split on commas within each array element, then trim - const expanded = initialArray.reduce<string[]>((acc, str) => { - const parts = str.split(",").map((s) => s.trim()) - return acc.concat(parts) - }, []) - - const filtered = expanded.filter((item) => { - if (item === "true" || item === "false") return false - if (!isNaN(Number(item))) return false - return true - }) - return Array.from(new Set(filtered)); -} |
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- -| 1 -2 -3 | - - | export const content = (result: any): string => { - return result?.choices?.[0]?.message?.content || "" -} |
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- -| 1 -2 -3 | - - | export const env_vars = (): Record<string, string> => { - return process.env as Record<string, string> -} |
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- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { sync as exists } from '@polymech/fs/exists' -import { sync as read } from '@polymech/fs/read' -import { resolve, isFile } from '@polymech/commons' - -import { detectAndHandle } from '../commands/handlers/index.js' -import { logger } from '../index.js' -import { IKBotOptions } from '../zod_types.js' - -export const readStdin = async (timeoutMs: number = 100): Promise<Buffer> => { - return new Promise((resolve, reject) => { - const chunks: Buffer[] = []; - if (process.stdin.isTTY) { - resolve(Buffer.from('')); - return; - } - - const onData = (chunk: Buffer) => { - chunks.push(Buffer.from(chunk)); - } - - // Handle end of stdin - const onEnd = () => { - cleanup(); - resolve(Buffer.concat(chunks)); - } - - const onError = (err: Error) => { - cleanup(); - reject(err); - } - - const onTimeout = () => { - cleanup(); - resolve(Buffer.concat(chunks)); // Resolve with whatever has been read so far - }; - - // Cleanup listeners and timeout - const cleanup = () => { - process.stdin.removeListener('data', onData); - process.stdin.removeListener('end', onEnd); - process.stdin.removeListener('error', onError); - clearTimeout(timeout); - }; - - // Attach event listeners - process.stdin.on('data', onData); - process.stdin.on('end', onEnd); - process.stdin.on('error', onError); - - // Start the timeout - const timeout = setTimeout(onTimeout, timeoutMs); - - // Ensure the stdin stream is flowing - process.stdin.resume(); - }); -}; - -export const resolveQuery = async (options: IKBotOptions): Promise<string> => { - const stdinContent = await readStdin(); - if (stdinContent.length > 0) { - try { - return await detectAndHandle(stdinContent, options); - } catch (error) { - logger.error('Failed to process stdin content:', error.message); - throw error; - } - } - - if (options.prompt) { - const queryPath = resolve(path.resolve(options.prompt) || ''); - if (exists(queryPath) && isFile(queryPath)) { - const fileContent = read(queryPath, 'buffer') as Buffer; - try { - return await detectAndHandle(fileContent,options) - } catch (error) { - logger.error(`Failed to process file ${queryPath}:`, error.message); - throw error; - } - } - // 3. Return direct prompt string - return options.prompt; - } - return "" -} - |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 -16 -17 -18 -19 -20 -21 -22 -23 | - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { sync as write } from '@polymech/fs/write' -import { resolve } from '@polymech/commons' -import { IKBotOptions } from '../zod_types.js' - -export const dumpAsScript = async (opts: IKBotOptions) => { - if (!opts.dump) { - return - } - const args = process.argv.slice(2).filter(a => !a.includes('--dump')) - const scriptPath = path.resolve(resolve(opts.dump, false, {})) - // Quote all parameter values - const quotedArgs = args.map(arg => { - if (arg.includes('=')) { - const [key, ...values] = arg.split('=') - const value = values.join('=') - return `${key}="${value}"` - } - return arg - }) - const script = `kbot ${quotedArgs.join(' ')}` - write(scriptPath, script) -} |
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- -| 1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 -16 -17 -18 -19 -20 -21 -22 -23 -24 -25 -26 -27 -28 -29 -30 -31 -32 -33 -34 -35 -36 -37 -38 -39 -40 -41 -42 -43 -44 -45 -46 -47 -48 -49 -50 -51 -52 -53 -54 -55 -56 -57 -58 -59 -60 -61 -62 -63 -64 -65 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | import * as path from 'node:path' -import { pathInfoEx } from '@polymech/commons' -import { DEFAULT_ROOTS, DEFAULT_VARS } from '@polymech/commons' -import { IKBotTask } from '@polymech/ai-tools' - -export const variables = (options: IKBotTask) => { - const { model, router,baseURL } = options - let ret = { - model, - router, - baseURL, - ...DEFAULT_ROOTS, - ...DEFAULT_VARS({}) - } - - if (options?.include?.length === 1) { - const [include] = options.include - const { } = pathInfoEx(include) - - const srcParts = path.parse(include) - const srcVariables: Record<string, string> = {} - - srcVariables.SRC_NAME = srcParts.name - srcVariables.SRC_DIR = srcParts.dir - srcVariables.SRC_EXT = srcParts.ext - - if (srcVariables.ROOT) { - srcVariables.SRC_REL = path.relative(srcVariables.ROOT, srcParts.dir) - } - - const dashed = srcParts.name.split('-') - if (dashed.length > 1) { - for (let i = 0; i < dashed.length; i++) { - srcVariables[`SRC_NAME-${i}`] = dashed[i] - } - } - const dotted = srcParts.name.split('.') - if (dotted.length > 1) { - for (let i = 0; i < dotted.length; i++) { - srcVariables[`SRC_NAME.${i}`] = dotted[i] - } - } - - const underscored = srcParts.name.split('_') - if (underscored.length > 1) { - for (let i = 0; i < underscored.length; i++) { - srcVariables[`SRC_NAME_${i}`] = underscored[i] - } - } - ret = { ...ret, ...srcVariables } - } - - // CLI argv variables - let variables = Object.assign({}, ...Object.keys(options).filter((k) => k.startsWith('var-')).map((k) => { - return { - [k.replace('var-', '')]: options[k] - } - })) - ret = Object.keys(ret).reduce((acc, key) => { - acc[key.toUpperCase()] = ret[key]; - return acc; - }, {}); - - return { ...ret, ...variables } -} |
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'USERPROFILE' : 'HOME'] || '', sub) -export const PREFERENCES_DEFAULT = (key: string = 'KBOT_PREFERENCES') => get_var(key) || path.join(HOME(`.${API_PREFIX}`), PREFERENCES_FILE_NAME) -import { jsonSchemaToZod } from "json-schema-to-zod" -import { Filters } from './filters.js' -import { models_dist } from './models/index.js' -import { defaultTemplate } from './tools.js' - -export const E_Filters = z.enum(Object.keys(Filters) as any) - -export const E_RouterTypeSchema = z.enum(['openrouter', 'openai', 'deepseek', 'huggingface', 'ollama', 'fireworks', 'gemini', 'xai']) -export type E_RouterType = z.infer<typeof E_RouterTypeSchema> - -export const E_Mode = { - COMPLETION: 'completion', - TOOLS: 'tools', - ASSISTANT: 'assistant', - CUSTOM: 'custom' -} as const - -export const EType = z.enum([ - E_Mode.COMPLETION, - E_Mode.TOOLS, - E_Mode.ASSISTANT, - E_Mode.CUSTOM -]) -// https://rjsf-team.github.io/react-jsonschema-form/docs/usage/widgets#file-widgets -/* -langchain/CharacterTextSplitter, - langchain/LatexTextSplitter, - langchain/MarkdownTextSplitter, - langchain/RecursiveCharacterTextSplitter, - langchain/TokenTextSplitter -*/ -export const SplitType = z.enum([ - 'none', - 'langchain/CharacterTextSplitter', - 'langchain/LatexTextSplitter', - 'langchain/MarkdownTextSplitter', - 'langchain/RecursiveCharacterTextSplitter', - 'langchain/TokenTextSplitter' -]).describe('Type of text splitter to use') - - -export type OptionsSchemaMeta = Record<string, unknown> - -export { fetchOpenRouterModels, listModelsAsStrings as listOpenRouterModelsAsStrings } from './models/openrouter.js' -export { fetchOpenAIModels, listModelsAsStrings as listOpenAIModelsAsStrings } from './models/openai.js' - -let schemaMap - -export const OptionsSchema = (opts?: any): any => { - - schemaMap = ZodMetaMap.create<OptionsSchemaMeta>() - schemaMap.add( - 'path', - z.string() - .min(1) - .default('.') - .describe('Target directory') - , { 'ui:widget': 'file' }) - .add( - 'prompt', - z.string() - .describe('The prompt. Supports file paths and environment variables.') - .optional() - ) - .add( - 'output', - z.string() - .optional() - .describe('Optional output path for modified files (Tool mode only)') - ) - .add( - 'dst', - z.string() - .optional() - .describe('Optional destination path for the result, will substitute ${MODEL_NAME} and ${ROUTER} in the path. Optional, used for "completion" mode') - ) - .add( - 'each', - z.string() - .optional() - .describe('Iterate over items, supported: GLOB | Path to JSON File | array of strings (comma separated). To test different models, use --each="gpt-3.5-turbo,gpt-4o", the actual string will exposed as variable `ITEM`, eg: --dst="${ITEM}-output.md"') - ) - .add( - 'disable', - z.array(z.string()) - .default([]) - .describe(`Disable tools categories, eg: --disable=${defaultTemplate.tools.join(',')}`) - ) - .add( - 'disableTools', - z.array(z.string()) - .optional() - .default([]) - .describe('List of specific tools to disable') - ) - .add( - 'tools', - z.union( - [ - z.array(z.string()), - z.string() - ]).optional() - .default(defaultTemplate.tools) - .describe(`List of tools to use. Can be built-in tool names or paths to custom tool files. Default: ${defaultTemplate.tools.join(',')}`) - .transform((val) => Array.isArray(val) ? val : val.split(',')) - ) - .add( - 'include', - z.array(z.string()) - .optional() - .describe('Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json') - ) - .add( - 'api_key', - z.string() - .optional() - .describe('Explicit API key to use') - ) - .add( - 'model', - z.string() - .optional() - .describe(`AI model to use for processing. Available models:\n${models_dist().join('\n')}`) - ) - .add( - 'router', - z.string() - .default('openrouter') - .describe('Router to use: openai, openrouter or deepseek') - ) - .add( - 'mode', - EType - .default(E_Mode.TOOLS) - .describe(`Chat completion mode:\n\t completion, tools, assistant. - ${chalk.green.bold('completion')}: no support for tools, please use --dst parameter to save the output. - ${chalk.green.bold('tools')}: allows for tools to be used, eg 'save to ./output.md'. Not all models support this mode. - ${chalk.green.bold('assistant')}: : allows documents (PDF, DOCX, ...) to be added but dont support tools. Use --dst to save the output. Supported files : - ${chalk.green.bold('custom')}: custom mode - `) - ) - .add( - 'logLevel', - z.number() - .default(4) - .describe('Logging level for the application') - ) - .add( - 'profile', - z.string() - .optional() - .describe('Path to profile for variables. Supports environment variables.') - ) - .add( - 'baseURL', - z.string() - .optional() - .describe('Base URL for the API, set via --router or directly') - ) - .add( - 'config', - z.string() - .optional() - .describe('Path to JSON configuration file (API keys). Supports environment variables.') - ) - .add( - 'dump', - z.string() - .optional() - .describe('Create a script') - ) - .add( - 'preferences', - z.string() - .default(PREFERENCES_DEFAULT()) - .describe('Path to preferences file, eg: location, your email address, gender, etc. Supports environment variables.') - ) - .add( - 'logs', - z.string() - .default(LOGGING_DIRECTORY) - .describe('Logging directory') - ) - .add( - 'env', - z.string() - .default('default') - .describe('Environment (in profile)') - ) - // If "split" was relevant, re-add here: - // .add('split', SplitType.default('none').describe('Type of text splitter to use')) - .add( - 'variables', - z.record(z.string(), z.string()) - .optional() - .default({}) - ) - .add( - 'filters', - z.union([ - z.string(), - z.array(E_Filters), - z.array(z.string()), - z.array(z.function()) - ]) - .optional() - .default('') - .describe(`List of filters to apply to the output. - Used only in completion mode and a given output file specified with --dst. - It unwraps by default any code or data in Markdown. - Choices:\n\t${Object.keys(Filters)}\n`) - .transform((val) => { - if (isArray(val) && val.length && isFunction(val[0])) { - return val - } - let filters = isString(val) ? val.split(',') : val - filters = filters.map((f: any) => Filters[f]).filter(Boolean) - return filters - }) - ) - .add( - 'query', - z.string() - .nullable() - .optional() - .default(null) - .describe('JSONPath query to be used to transform input objects') - ) - .add( - 'dry', - z.union([ - z.boolean(), - z.string().transform((val) => val.toLowerCase() === 'true') - ]) - .optional() - .default(false) - .describe('Dry run - only write out parameters without making API calls') - ) - .add( - 'format', - z.union([ - z.string().transform((val) => { - try { - // Check if the string is a file path - if (exists(val) && val.endsWith('.json')) { - const content = readFS(val); - const schema = JSON.parse(content.toString()); - const zodSchemaStr = jsonSchemaToZod(schema); - // Evaluate the string to get the actual Zod schema - const zodSchema = eval(`(${zodSchemaStr})`); - return zodResponseFormat(zodSchema, "format"); - } else { - // Try parsing as JSON schema first - try { - const schema = JSON.parse(val); - const zodSchemaStr = jsonSchemaToZod(schema); - const zodSchema = eval(`(${zodSchemaStr})`); - return zodResponseFormat(zodSchema, "format"); - } catch { - // If not JSON, try evaluating as Zod schema directly - const zodSchema = eval(`(${val})`); - return zodResponseFormat(zodSchema, "format"); - } - } - } catch (e) { - console.error(`Error parsing format: ${e}`) - return null; - } - }), - z.any().transform((val) => { - // If it's already a Zod schema, use it directly - if (val && typeof val === 'object' && 'parse' in val) { - return zodResponseFormat(val, "format"); - } - return null; - }) - ]) - .optional() - .describe('Format for structured outputs. Can be a Zod schema, a Zod schema string, a JSON schema string, or a path to a JSON file.') - ); - return schemaMap.root() - .passthrough() - .describe('IKBotOptions') -} -export const types = () => { - generate_interfaces([OptionsSchema()], 'src/zod_types.ts') - generate_interfaces([OptionsSchema()], path.resolve(resolve('../ai-tools/src/types_kbot.ts'))) - schemas() -} -export const schemas = () => { - write([OptionsSchema()], 'schema.json', 'kbot', {}) - writeFS('schema_ui.json', schemaMap.getUISchema()) -} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
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- /** Target directory */
- path?: string;
- /** The prompt. Supports file paths and environment variables. */
- prompt?: string | undefined;
- /** Optional output path for modified files (Tool mode only) */
- output?: string | undefined;
- /** Optional destination path for the result, will substitute ${MODEL_NAME} and ${ROUTER} in the path. Optional, used for "completion" mode */
- dst?: string | undefined;
- /** Iterate over items, supported: GLOB | Path to JSON File | array of strings (comma separated). To test different models, use --each="gpt-3.5-turbo,gpt-4o", the actual string will exposed as variable `ITEM`, eg: --dst="${ITEM}-output.md" */
- each?: string | undefined;
- /** Disable tools categories, eg: --disable=fs,git,interact,terminal,search,web,email,user */
- disable?: string[];
- /** List of specific tools to disable */
- disableTools?: string[];
- /** List of tools to use. Can be built-in tool names or paths to custom tool files. Default: fs,git,interact,terminal,search,web,email,user */
- tools?: (string[] | string);
- /** Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json */
- include?: string[] | undefined;
- /** Explicit API key to use */
- api_key?: string | undefined;
- /** AI model to use for processing. Available models:
- [35m[1m[22m[39m
- [35m[1m OpenRouter models:[22m[39m
- [35m[1m[22m[39m
- 01-ai/yi-large | paid
- aetherwiing/mn-starcannon-12b | paid
- ai21/jamba-1-5-large | paid
- ai21/jamba-1-5-mini | paid
- ai21/jamba-1.6-large | paid
- ai21/jamba-instruct | paid
- ai21/jamba-1.6-mini | paid
- aion-labs/aion-1.0 | paid
- aion-labs/aion-1.0-mini | paid
- aion-labs/aion-rp-llama-3.1-8b | paid
- jondurbin/airoboros-l2-70b | paid
- allenai/molmo-7b-d:free | free
- allenai/olmo-2-0325-32b-instruct | paid
- amazon/nova-lite-v1 | paid
- amazon/nova-micro-v1 | paid
- amazon/nova-pro-v1 | paid
- anthropic/claude-3-haiku | paid
- anthropic/claude-3-haiku:beta | paid
- anthropic/claude-3-opus | paid
- anthropic/claude-3-opus:beta | paid
- anthropic/claude-3-sonnet | paid
- anthropic/claude-3-sonnet:beta | paid
- anthropic/claude-3.5-haiku | paid
- anthropic/claude-3.5-haiku-20241022 | paid
- anthropic/claude-3.5-haiku-20241022:beta | paid
- anthropic/claude-3.5-haiku:beta | paid
- anthropic/claude-3.5-sonnet | paid
- anthropic/claude-3.5-sonnet-20240620 | paid
- anthropic/claude-3.5-sonnet-20240620:beta | paid
- anthropic/claude-3.5-sonnet:beta | paid
- anthropic/claude-3.7-sonnet | paid
- anthropic/claude-3.7-sonnet:beta | paid
- anthropic/claude-3.7-sonnet:thinking | paid
- anthropic/claude-2 | paid
- anthropic/claude-2:beta | paid
- anthropic/claude-2.0 | paid
- anthropic/claude-2.0:beta | paid
- anthropic/claude-2.1 | paid
- anthropic/claude-2.1:beta | paid
- openrouter/auto | paid
- bytedance-research/ui-tars-72b:free | free
- cohere/command | paid
- cohere/command-a | paid
- cohere/command-r | paid
- cohere/command-r-03-2024 | paid
- cohere/command-r-08-2024 | paid
- cohere/command-r-plus | paid
- cohere/command-r-plus-04-2024 | paid
- cohere/command-r-plus-08-2024 | paid
- cohere/command-r7b-12-2024 | paid
- deepseek/deepseek-r1-zero:free | free
- deepseek/deepseek-chat | paid
- deepseek/deepseek-chat:free | free
- deepseek/deepseek-chat-v3-0324 | paid
- deepseek/deepseek-chat-v3-0324:free | free
- deepseek/deepseek-v3-base:free | free
- deepseek/deepseek-r1 | paid
- deepseek/deepseek-r1:free | free
- deepseek/deepseek-r1-distill-llama-70b | paid
- deepseek/deepseek-r1-distill-llama-70b:free | free
- deepseek/deepseek-r1-distill-llama-8b | paid
- deepseek/deepseek-r1-distill-qwen-1.5b | paid
- deepseek/deepseek-r1-distill-qwen-14b | paid
- deepseek/deepseek-r1-distill-qwen-14b:free | free
- deepseek/deepseek-r1-distill-qwen-32b | paid
- deepseek/deepseek-r1-distill-qwen-32b:free | free
- cognitivecomputations/dolphin-mixtral-8x7b | paid
- cognitivecomputations/dolphin-mixtral-8x22b | paid
- cognitivecomputations/dolphin3.0-mistral-24b:free | free
- cognitivecomputations/dolphin3.0-r1-mistral-24b:free | free
- eva-unit-01/eva-llama-3.33-70b | paid
- eva-unit-01/eva-qwen-2.5-32b | paid
- eva-unit-01/eva-qwen-2.5-72b | paid
- sao10k/fimbulvetr-11b-v2 | paid
- alpindale/goliath-120b | paid
- google/gemini-flash-1.5 | paid
- google/gemini-flash-1.5-8b | paid
- google/gemini-flash-1.5-8b-exp | paid
- google/gemini-pro-1.5 | paid
- google/gemini-2.0-flash-001 | paid
- google/gemini-2.0-flash-exp:free | free
- google/gemini-2.0-flash-lite-001 | paid
- google/gemini-2.0-flash-thinking-exp-1219:free | free
- google/gemini-2.0-flash-thinking-exp:free | free
- google/gemini-2.0-pro-exp-02-05:free | free
- google/gemini-2.5-pro-exp-03-25:free | free
- google/gemini-2.5-pro-preview-03-25 | paid
- google/gemini-pro | paid
- google/gemini-pro-vision | paid
- google/gemma-2-27b-it | paid
- google/gemma-2-9b-it | paid
- google/gemma-2-9b-it:free | free
- google/gemma-3-12b-it | paid
- google/gemma-3-12b-it:free | free
- google/gemma-3-1b-it:free | free
- google/gemma-3-27b-it | paid
- google/gemma-3-27b-it:free | free
- google/gemma-3-4b-it | paid
- google/gemma-3-4b-it:free | free
- google/learnlm-1.5-pro-experimental:free | free
- google/palm-2-chat-bison | paid
- google/palm-2-chat-bison-32k | paid
- google/palm-2-codechat-bison | paid
- google/palm-2-codechat-bison-32k | paid
- huggingfaceh4/zephyr-7b-beta:free | free
- infermatic/mn-inferor-12b | paid
- inflection/inflection-3-pi | paid
- inflection/inflection-3-productivity | paid
- latitudegames/wayfarer-large-70b-llama-3.3 | paid
- liquid/lfm-3b | paid
- liquid/lfm-40b | paid
- liquid/lfm-7b | paid
- meta-llama/llama-guard-3-8b | paid
- alpindale/magnum-72b | paid
- anthracite-org/magnum-v2-72b | paid
- anthracite-org/magnum-v4-72b | paid
- mancer/weaver | paid
- meta-llama/llama-2-13b-chat | paid
- meta-llama/llama-2-70b-chat | paid
- meta-llama/llama-3-70b-instruct | paid
- meta-llama/llama-3-8b-instruct | paid
- meta-llama/llama-3.1-405b | paid
- meta-llama/llama-3.1-405b-instruct | paid
- meta-llama/llama-3.1-70b-instruct | paid
- meta-llama/llama-3.1-8b-instruct | paid
- meta-llama/llama-3.1-8b-instruct:free | free
- meta-llama/llama-3.2-11b-vision-instruct | paid
- meta-llama/llama-3.2-11b-vision-instruct:free | free
- meta-llama/llama-3.2-1b-instruct | paid
- meta-llama/llama-3.2-1b-instruct:free | free
- meta-llama/llama-3.2-3b-instruct | paid
- meta-llama/llama-3.2-3b-instruct:free | free
- meta-llama/llama-3.2-90b-vision-instruct | paid
- meta-llama/llama-3.3-70b-instruct | paid
- meta-llama/llama-3.3-70b-instruct:free | free
- meta-llama/llama-4-maverick | paid
- meta-llama/llama-4-maverick:free | free
- meta-llama/llama-4-scout | paid
- meta-llama/llama-4-scout:free | free
- meta-llama/llama-guard-2-8b | paid
- microsoft/phi-4 | paid
- microsoft/phi-4-multimodal-instruct | paid
- microsoft/phi-3-medium-128k-instruct | paid
- microsoft/phi-3-medium-128k-instruct:free | free
- microsoft/phi-3-mini-128k-instruct | paid
- microsoft/phi-3-mini-128k-instruct:free | free
- microsoft/phi-3.5-mini-128k-instruct | paid
- sophosympatheia/midnight-rose-70b | paid
- minimax/minimax-01 | paid
- mistralai/mistral-large | paid
- mistralai/mistral-large-2407 | paid
- mistralai/mistral-large-2411 | paid
- mistralai/mistral-medium | paid
- nothingiisreal/mn-celeste-12b | paid
- mistralai/mistral-small | paid
- mistralai/mistral-tiny | paid
- mistralai/codestral-2501 | paid
- mistralai/codestral-mamba | paid
- mistralai/ministral-3b | paid
- mistral/ministral-8b | paid
- mistralai/ministral-8b | paid
- mistralai/mistral-7b-instruct | paid
- mistralai/mistral-7b-instruct:free | free
- mistralai/mistral-7b-instruct-v0.1 | paid
- mistralai/mistral-7b-instruct-v0.2 | paid
- mistralai/mistral-7b-instruct-v0.3 | paid
- mistralai/mistral-nemo | paid
- mistralai/mistral-nemo:free | free
- mistralai/mistral-small-24b-instruct-2501 | paid
- mistralai/mistral-small-24b-instruct-2501:free | free
- mistralai/mistral-small-3.1-24b-instruct | paid
- mistralai/mistral-small-3.1-24b-instruct:free | free
- mistralai/mixtral-8x22b-instruct | paid
- mistralai/mixtral-8x7b | paid
- mistralai/mixtral-8x7b-instruct | paid
- mistralai/pixtral-12b | paid
- mistralai/pixtral-large-2411 | paid
- mistralai/mistral-saba | paid
- moonshotai/moonlight-16b-a3b-instruct:free | free
- gryphe/mythomax-l2-13b | paid
- neversleep/llama-3-lumimaid-70b | paid
- neversleep/llama-3-lumimaid-8b | paid
- neversleep/llama-3-lumimaid-8b:extended | paid
- neversleep/llama-3.1-lumimaid-70b | paid
- neversleep/llama-3.1-lumimaid-8b | paid
- neversleep/noromaid-20b | paid
- nousresearch/deephermes-3-llama-3-8b-preview:free | free
- nousresearch/nous-hermes-llama2-13b | paid
- nousresearch/nous-hermes-2-mixtral-8x7b-dpo | paid
- nousresearch/hermes-3-llama-3.1-405b | paid
- nousresearch/hermes-3-llama-3.1-70b | paid
- nousresearch/hermes-2-pro-llama-3-8b | paid
- nvidia/llama-3.1-nemotron-70b-instruct | paid
- nvidia/llama-3.1-nemotron-70b-instruct:free | free
- open-r1/olympiccoder-32b:free | free
- open-r1/olympiccoder-7b:free | free
- openai/chatgpt-4o-latest | paid
- openai/gpt-3.5-turbo | paid
- openai/gpt-3.5-turbo-0613 | paid
- openai/gpt-3.5-turbo-16k | paid
- openai/gpt-3.5-turbo-0125 | paid
- openai/gpt-3.5-turbo-1106 | paid
- openai/gpt-3.5-turbo-instruct | paid
- openai/gpt-4 | paid
- openai/gpt-4-0314 | paid
- openai/gpt-4-32k | paid
- openai/gpt-4-32k-0314 | paid
- openai/gpt-4-turbo | paid
- openai/gpt-4-1106-preview | paid
- openai/gpt-4-turbo-preview | paid
- openai/gpt-4.5-preview | paid
- openai/gpt-4o | paid
- openai/gpt-4o-2024-05-13 | paid
- openai/gpt-4o-2024-08-06 | paid
- openai/gpt-4o-2024-11-20 | paid
- openai/gpt-4o:extended | paid
- openai/gpt-4o-search-preview | paid
- openai/gpt-4o-mini | paid
- openai/gpt-4o-mini-2024-07-18 | paid
- openai/gpt-4o-mini-search-preview | paid
- openai/o1 | paid
- openai/o1-mini | paid
- openai/o1-mini-2024-09-12 | paid
- openai/o1-preview | paid
- openai/o1-preview-2024-09-12 | paid
- openai/o1-pro | paid
- openai/o3-mini | paid
- openai/o3-mini-high | paid
- openchat/openchat-7b | paid
- openchat/openchat-7b:free | free
- all-hands/openhands-lm-32b-v0.1 | paid
- perplexity/llama-3.1-sonar-large-128k-online | paid
- perplexity/llama-3.1-sonar-small-128k-online | paid
- perplexity/r1-1776 | paid
- perplexity/sonar | paid
- perplexity/sonar-deep-research | paid
- perplexity/sonar-pro | paid
- perplexity/sonar-reasoning | paid
- perplexity/sonar-reasoning-pro | paid
- pygmalionai/mythalion-13b | paid
- openrouter/quasar-alpha | paid
- qwen/qwen-2-72b-instruct | paid
- qwen/qwen-vl-max | paid
- qwen/qwen-vl-plus | paid
- qwen/qwen-max | paid
- qwen/qwen-plus | paid
- qwen/qwen-turbo | paid
- qwen/qwen2.5-32b-instruct | paid
- qwen/qwen2.5-vl-32b-instruct | paid
- qwen/qwen2.5-vl-32b-instruct:free | free
- qwen/qwen2.5-vl-3b-instruct:free | free
- qwen/qwen2.5-vl-72b-instruct | paid
- qwen/qwen2.5-vl-72b-instruct:free | free
- qwen/qwen-2.5-vl-72b-instruct | paid
- qwen/qwen-2.5-vl-7b-instruct | paid
- qwen/qwen-2.5-vl-7b-instruct:free | free
- qwen/qwq-32b | paid
- qwen/qwq-32b:free | free
- qwen/qwq-32b-preview | paid
- qwen/qwq-32b-preview:free | free
- qwen/qwen-2.5-72b-instruct | paid
- qwen/qwen-2.5-72b-instruct:free | free
- qwen/qwen-2.5-7b-instruct | paid
- qwen/qwen-2.5-7b-instruct:free | free
- qwen/qwen-2.5-coder-32b-instruct | paid
- qwen/qwen-2.5-coder-32b-instruct:free | free
- featherless/qwerky-72b:free | free
- rekaai/reka-flash-3:free | free
- undi95/remm-slerp-l2-13b | paid
- thedrummer/rocinante-12b | paid
- sophosympatheia/rogue-rose-103b-v0.2:free | free
- sao10k/l3-lunaris-8b | paid
- sao10k/l3-euryale-70b | paid
- sao10k/l3.1-70b-hanami-x1 | paid
- sao10k/l3.1-euryale-70b | paid
- sao10k/l3.3-euryale-70b | paid
- raifle/sorcererlm-8x22b | paid
- steelskull/l3.3-electra-r1-70b | paid
- tokyotech-llm/llama-3.1-swallow-70b-instruct-v0.3 | paid
- thedrummer/anubis-pro-105b-v1 | paid
- thedrummer/skyfall-36b-v2 | paid
- undi95/toppy-m-7b | paid
- undi95/toppy-m-7b:free | free
- scb10x/llama3.1-typhoon2-70b-instruct | paid
- scb10x/llama3.1-typhoon2-8b-instruct | paid
- thedrummer/unslopnemo-12b | paid
- microsoft/wizardlm-2-7b | paid
- microsoft/wizardlm-2-8x22b | paid
- x-ai/grok-2-1212 | paid
- x-ai/grok-2-vision-1212 | paid
- x-ai/grok-beta | paid
- x-ai/grok-vision-beta | paid
- xwin-lm/xwin-lm-70b | paid
- [35m[1m[22m[39m
- [35m[1m OpenAI models:[22m[39m
- [35m[1m[22m[39m
- babbage-002
- chatgpt-4o-latest
- dall-e-2
- dall-e-3
- davinci-002
- gpt-3.5-turbo
- gpt-3.5-turbo-0125
- gpt-3.5-turbo-1106
- gpt-3.5-turbo-16k
- gpt-3.5-turbo-instruct
- gpt-3.5-turbo-instruct-0914
- gpt-4
- gpt-4-0125-preview
- gpt-4-0613
- gpt-4-1106-preview
- gpt-4-turbo
- gpt-4-turbo-2024-04-09
- gpt-4-turbo-preview
- gpt-4.5-preview
- gpt-4.5-preview-2025-02-27
- gpt-4o
- gpt-4o-2024-05-13
- gpt-4o-2024-08-06
- gpt-4o-2024-11-20
- gpt-4o-audio-preview
- gpt-4o-audio-preview-2024-10-01
- gpt-4o-audio-preview-2024-12-17
- gpt-4o-mini
- gpt-4o-mini-2024-07-18
- gpt-4o-mini-audio-preview
- gpt-4o-mini-audio-preview-2024-12-17
- gpt-4o-mini-realtime-preview
- gpt-4o-mini-realtime-preview-2024-12-17
- gpt-4o-mini-search-preview
- gpt-4o-mini-search-preview-2025-03-11
- gpt-4o-mini-transcribe
- gpt-4o-mini-tts
- gpt-4o-realtime-preview
- gpt-4o-realtime-preview-2024-10-01
- gpt-4o-realtime-preview-2024-12-17
- gpt-4o-search-preview
- gpt-4o-search-preview-2025-03-11
- gpt-4o-transcribe
- o1
- o1-2024-12-17
- o1-mini
- o1-mini-2024-09-12
- o1-preview
- o1-preview-2024-09-12
- o1-pro
- o1-pro-2025-03-19
- o3-mini
- o3-mini-2025-01-31
- omni-moderation-2024-09-26
- omni-moderation-latest
- text-embedding-3-large
- text-embedding-3-small
- text-embedding-ada-002
- tts-1
- tts-1-1106
- tts-1-hd
- tts-1-hd-1106
- whisper-1
- -----
-
- [35m[1m[22m[39m
- [35m[1m Deepseek models:[22m[39m
- [35m[1m[22m[39m
- deepseek-chat
- deepseek-reasoner
- -----
- */
- model?: string | undefined;
- /** Router to use: openai, openrouter or deepseek */
- router?: string;
- /** Chat completion mode:
- completion, tools, assistant.
- [32m[1mcompletion[22m[39m: no support for tools, please use --dst parameter to save the output.
- [32m[1mtools[22m[39m: allows for tools to be used, eg 'save to ./output.md'. Not all models support this mode.
- [32m[1massistant[22m[39m: : allows documents (PDF, DOCX, ...) to be added but dont support tools. Use --dst to save the output. Supported files :
- [32m[1mcustom[22m[39m: custom mode
- */
- mode?: "completion" | "tools" | "assistant" | "custom";
- /** Logging level for the application */
- logLevel?: number;
- /** Path to profile for variables. Supports environment variables. */
- profile?: string | undefined;
- /** Base URL for the API, set via --router or directly */
- baseURL?: string | undefined;
- /** Path to JSON configuration file (API keys). Supports environment variables. */
- config?: string | undefined;
- /** Create a script */
- dump?: string | undefined;
- /** Path to preferences file, eg: location, your email address, gender, etc. Supports environment variables. */
- preferences?: string;
- /** Logging directory */
- logs?: string;
- /** Environment (in profile) */
- env?: string;
- variables?: {
- [x: string]: string;
- };
- /** List of filters to apply to the output.
- Used only in completion mode and a given output file specified with --dst.
- It unwraps by default any code or data in Markdown.
- Choices:
- JSON,JSONUnescape,JSONPretty,AlphaSort,code,JSONParse,trim
- */
- filters?: (string | ("JSON" | "JSONUnescape" | "JSONPretty" | "AlphaSort" | "code" | "JSONParse" | "trim")[] | string[] | ((...args_0: unknown[]) => unknown)[]);
- /** JSONPath query to be used to transform input objects */
- query?: (string | null);
- /** Dry run - only write out parameters without making API calls */
- dry?: (boolean | string);
- /** Format for structured outputs. Can be a Zod schema, a Zod schema string, a JSON schema string, or a path to a JSON file. */
- format?: (string | any) | undefined;
-} |
- Press n or j to go to the next uncovered block, b, p or k for the previous block. -
- -| 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 | - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | #!/usr/bin/env node -import { spawn } from 'child_process'; - -const TEST_CASES = [ - { - name: 'GitHub README', - command: ['kbot', 'Summarize this documentation', '-i', 'https://raw.githubusercontent.com/polymech/polymech-mono/main/README.md'] - }, - { - name: 'JSON API', - command: ['kbot', 'Extract user emails', '-i', 'https://jsonplaceholder.typicode.com/users'] - }, - { - name: 'Mixed Sources', - command: ['kbot', 'Compare these files and the web content', '-i', 'package.json,https://docs.npmjs.com/cli/v10/commands/npm-install'] - } -]; - -async function runTest(test) { - console.log(`\n\n=== Running Test: ${test.name} ===`); - console.log(`Command: ${test.command.join(' ')}`); - - return new Promise((resolve) => { - const child = spawn(test.command[0], test.command.slice(1), { - cwd: process.cwd(), - stdio: 'inherit' - }); - - child.on('close', (code) => { - console.log(`Test "${test.name}" completed with exit code ${code}`); - resolve(code === 0); - }); - }); -} - -async function runTests() { - console.log('Starting Web URL Support Tests'); - - for (const test of TEST_CASES) { - const success = await runTest(test); - console.log(`Test "${test.name}": ${success ? 'PASSED' : 'FAILED'}`); - } - - console.log('\nAll tests completed'); -} - -runTests().catch(err => { - console.error('Test execution failed:', err); - process.exit(1); -}); |