bump kbot :)
This commit is contained in:
Code
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packages/osr-code-bot/dist/main_node.js
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packages/osr-code-bot/dist/main_node.js
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packages/osr-code-bot/dist/package.json
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packages/osr-code-bot/dist/package.json
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@ -1,6 +1,6 @@
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{
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"name": "@plastichub/kbot",
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"version": "1.1.7",
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"version": "1.1.8",
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"main": "main_node.js",
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"author": "",
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"license": "ISC",
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@ -1,5 +1,5 @@
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{
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"timestamp": 1738409312097,
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"timestamp": 1738438200064,
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"models": [
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{
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"id": "gpt-4o-audio-preview-2024-10-01",
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@ -31,6 +31,18 @@
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"created": 1698798177,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-mini",
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"object": "model",
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"created": 1721172741,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-mini-2024-07-18",
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"object": "model",
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"created": 1721172717,
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"owned_by": "system"
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},
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{
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"id": "gpt-3.5-turbo",
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"object": "model",
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@ -115,24 +127,12 @@
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"created": 1699053533,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-mini-2024-07-18",
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"object": "model",
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"created": 1721172717,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-2024-05-13",
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"object": "model",
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"created": 1715368132,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-mini",
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"object": "model",
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"created": 1721172741,
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"owned_by": "system"
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},
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{
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"id": "gpt-4o-2024-08-06",
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"object": "model",
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@ -1,6 +1,78 @@
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{
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"timestamp": 1738409312720,
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"timestamp": 1738438200259,
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"models": [
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{
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"id": "qwen/qwen-turbo-2024-11-01",
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"name": "Qwen: Qwen-Turbo",
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"created": 1738410974,
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"description": "Qwen-Turbo is a 1M context model that provides fast speed and low cost, suitable for simple tasks.",
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"context_length": 1000000,
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"architecture": {
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"modality": "text->text",
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"tokenizer": "Qwen",
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.00000005",
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"completion": "0.0000002",
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"image": "0",
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"request": "0"
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},
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"top_provider": {
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"context_length": 1000000,
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"max_completion_tokens": 8192,
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"is_moderated": false
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},
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"per_request_limits": null
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},
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{
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"id": "qwen/qwen-plus",
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"name": "Qwen: Qwen-Plus",
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"created": 1738409840,
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"description": "Qwen-Plus is a 131K context model with a balanced performance, speed, and cost combination.",
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"context_length": 131072,
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"architecture": {
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"modality": "text->text",
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"tokenizer": "Qwen",
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.0000004",
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"completion": "0.0000012",
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"image": "0",
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"request": "0"
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},
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"top_provider": {
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"context_length": 131072,
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"max_completion_tokens": 8192,
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"is_moderated": false
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},
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"per_request_limits": null
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},
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{
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"id": "qwen/qwen-max",
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"name": "Qwen: Qwen-Max ",
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"created": 1738402289,
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"description": "Qwen-Max, with 32K context, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks.",
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"context_length": 32768,
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"architecture": {
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"modality": "text->text",
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"tokenizer": "Qwen",
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.0000016",
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"completion": "0.0000064",
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"image": "0",
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"request": "0"
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},
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"top_provider": {
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"context_length": 32768,
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"max_completion_tokens": 8192,
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"is_moderated": false
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},
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"per_request_limits": null
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},
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{
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"id": "openai/o3-mini",
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"name": "OpenAI: o3 Mini",
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@ -332,7 +404,7 @@
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},
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"top_provider": {
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"context_length": 163840,
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"max_completion_tokens": 16384,
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"max_completion_tokens": 32768,
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"is_moderated": false
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},
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"per_request_limits": null
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@ -1782,7 +1854,7 @@
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"name": "Meta: Llama 3.2 11B Vision Instruct (free)",
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"created": 1727222400,
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"description": "Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.\n\nIts ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).",
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"context_length": 8192,
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"context_length": 131072,
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"architecture": {
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"modality": "text+image->text",
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"tokenizer": "Llama3",
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@ -1795,8 +1867,8 @@
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"request": "0"
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},
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"top_provider": {
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"context_length": 8192,
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"max_completion_tokens": 4096,
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"context_length": 131072,
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"max_completion_tokens": 2048,
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"is_moderated": false
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},
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"per_request_limits": null
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@ -79,7 +79,6 @@ export const processRun = async (opts: IKBotTask) => {
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const paramsPath = path.join(logDir, 'params.json')
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write(paramsPath, JSON.stringify({ ...params }, null, 2))
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logger.debug(`Read ${files.length} files from project ${path.resolve(options.path)} with ${options.include}`, files.map(f => f.path), options.variables, params.tools.map(t => `${t.function.name} : ${t.function.description}`))
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let ret = null
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try {
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switch (options.mode) {
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@ -101,14 +100,13 @@ export const processRun = async (opts: IKBotTask) => {
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} catch (e) {
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logger.error(`Error running ${options.mode} mode: ${e.message}`)
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}
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opts.variables['LAST'] = ret
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return ret
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}
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/**
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* Extract file paths (Windows or POSIX style) from a single string,
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* preserving any spaces within the paths. Needed for Salamand File Manager selections (eg: kbot "summarize, as json" -i $(ListOfSelectedFullNames))
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* preserving any spaces within the paths. Needed for Salamand File Manager selections (eg: kbot "summarize, as json" -i "$(ListOfSelectedFullNames)")
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* - For Windows, it looks for patterns like "C:\" (any drive letter).
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* - For POSIX, it looks for a leading slash "/".
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*
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'each',
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z.string()
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.optional()
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.describe('Glob pattern to run for each matching file')
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.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"')
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)
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.add(
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'disable',
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@ -7,7 +7,7 @@ export interface IKBotOptions {
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output?: string | undefined;
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/** Optional destination path for the result, will substitute ${MODEL_NAME} and ${ROUTER} in the path. Optional, used for "completion" mode */
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dst?: string | undefined;
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/** Glob pattern to run for each matching file */
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/** Iterate over items, supported GLOB | Path to JSON File | array of strings (comma separated). To test different models, use --each="gpt-3.5-turbo,gpt-4o", the actual string will exposed as variable `ITEM`, eg: --dst=${ITEM}-output.md */
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each?: string | undefined;
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/** Disable tools categories, eg: --disable=fs,git,interact,terminal,search,web,email,user */
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disable?: string[];
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@ -64,8 +64,12 @@ export interface IKBotOptions {
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databricks/dbrx-instruct | paid
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deepseek/deepseek-chat-v2.5 | paid
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deepseek/deepseek-r1 | paid
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deepseek/deepseek-r1:free | free
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deepseek/deepseek-r1:nitro | paid
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deepseek/deepseek-r1-distill-llama-70b | paid
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deepseek/deepseek-r1-distill-qwen-1.5b | paid
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deepseek/deepseek-r1-distill-qwen-14b | paid
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deepseek/deepseek-r1-distill-qwen-32b | paid
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deepseek/deepseek-chat | paid
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cognitivecomputations/dolphin-mixtral-8x7b | paid
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cognitivecomputations/dolphin-mixtral-8x22b | paid
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@ -90,6 +94,7 @@ export interface IKBotOptions {
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google/gemma-2-27b-it | paid
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google/gemma-2-9b-it | paid
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google/gemma-2-9b-it:free | free
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google/gemma-7b-it | paid
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google/learnlm-1.5-pro-experimental:free | free
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google/palm-2-chat-bison | paid
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google/palm-2-chat-bison-32k | paid
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@ -158,6 +163,7 @@ export interface IKBotOptions {
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mistralai/mistral-7b-instruct-v0.1 | paid
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mistralai/mistral-7b-instruct-v0.3 | paid
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mistralai/mistral-nemo | paid
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mistralai/mistral-small-24b-instruct-2501 | paid
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mistralai/mixtral-8x22b-instruct | paid
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mistralai/mixtral-8x7b | paid
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mistralai/mixtral-8x7b-instruct | paid
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@ -206,6 +212,7 @@ export interface IKBotOptions {
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openai/o1-mini-2024-09-12 | paid
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openai/o1-preview | paid
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openai/o1-preview-2024-09-12 | paid
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openai/o3-mini | paid
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openchat/openchat-7b | paid
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openchat/openchat-7b:free | free
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teknium/openhermes-2.5-mistral-7b | paid
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@ -214,11 +221,16 @@ export interface IKBotOptions {
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perplexity/llama-3.1-sonar-large-128k-online | paid
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perplexity/llama-3.1-sonar-small-128k-chat | paid
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perplexity/llama-3.1-sonar-small-128k-online | paid
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perplexity/sonar | paid
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perplexity/sonar-reasoning | paid
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pygmalionai/mythalion-13b | paid
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qwen/qwen-2-72b-instruct | paid
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qwen/qwen-2-7b-instruct | paid
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qwen/qwen-2-7b-instruct:free | free
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qwen/qvq-72b-preview | paid
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qwen/qwen-max | paid
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qwen/qwen-plus | paid
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qwen/qwen-turbo-2024-11-01 | paid
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qwen/qwq-32b-preview | paid
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qwen/qwen-2-vl-72b-instruct | paid
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qwen/qwen-2-vl-7b-instruct | paid
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