From 0eb8971571b2e96c7592dcc9cd3ea8e7b09e8c40 Mon Sep 17 00:00:00 2001 From: babayaga Date: Tue, 3 Jun 2025 20:55:18 +0200 Subject: [PATCH] maintainence love:) --- packages/kbot/dist-in/commands/run.js | 18 +- packages/kbot/dist-in/data/openai_models.json | 650 +++++----- .../kbot/dist-in/data/openrouter_models.json | 1141 ++++++++++------- .../dist-in/models/cache/openai-models.d.ts | 130 +- .../dist-in/models/cache/openai-models.js | 130 +- .../models/cache/openrouter-models-free.d.ts | 3 + .../models/cache/openrouter-models-free.js | 5 +- .../models/cache/openrouter-models.d.ts | 17 +- .../dist-in/models/cache/openrouter-models.js | 19 +- packages/kbot/dist-in/source.d.ts | 2 +- packages/kbot/dist-in/source.js | 22 +- .../kbot/dist-in/src/models/cache/openai.ts | 2 +- .../dist-in/src/models/cache/openrouter.ts | 2 +- packages/kbot/dist-in/zod_schema.js | 5 +- packages/kbot/dist-in/zod_types.d.ts | 21 +- packages/kbot/schema.json | 9 +- packages/kbot/schema_ui.json | 6 +- packages/kbot/src/commands/run.ts | 20 +- .../kbot/src/models/cache/openai-models.ts | 130 +- .../models/cache/openrouter-models-free.ts | 3 + .../src/models/cache/openrouter-models.ts | 17 +- packages/kbot/src/source.ts | 23 +- packages/kbot/src/zod_schema.ts | 6 + packages/kbot/src/zod_types.ts | 21 +- packages/kbot/tests/each/config-summary.md | 1 - 25 files changed, 1365 insertions(+), 1038 deletions(-) delete mode 100644 packages/kbot/tests/each/config-summary.md diff --git a/packages/kbot/dist-in/commands/run.js b/packages/kbot/dist-in/commands/run.js index 9aa5bf6b..814a6dfa 100644 --- a/packages/kbot/dist-in/commands/run.js +++ b/packages/kbot/dist-in/commands/run.js @@ -56,6 +56,7 @@ export const complete_options = async (opts) => { opts.disable = flatten(opts.disable); opts.disableTools = flatten(opts.disableTools); opts.include = flatten(opts.include); + opts.exclude = flatten(opts.exclude || []); opts.variables = opts.profile ? await loadProfile(opts) : {}; try { const parsed = OptionsSchema().parse(opts); @@ -276,6 +277,21 @@ export const run = async (opts) => { else { opts.include = []; } + // Process opts.exclude similarly to opts.include + if (opts.exclude) { + if (isString(opts.exclude)) { + opts.exclude = [opts.exclude]; + } + if (isArray(opts.exclude)) { + const specialPatterns = opts.exclude.filter((path) => hasMagic(path) || isWebUrl(path)); + const normalPaths = opts.exclude.filter((path) => !hasMagic(path) && !isWebUrl(path)); + const processedPaths = flattenArrays(normalPaths.map(extractPaths)); + opts.exclude = [...specialPatterns, ...processedPaths]; + } + } + else { + opts.exclude = []; + } if (opts.each) { let items = []; if (isArray(opts.each)) { @@ -328,4 +344,4 @@ export const run = async (opts) => { } return ret; }; -//# 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end of file diff --git a/packages/kbot/dist-in/data/openrouter_models.json b/packages/kbot/dist-in/data/openrouter_models.json index 70d32a45..58e0b738 100644 --- a/packages/kbot/dist-in/data/openrouter_models.json +++ b/packages/kbot/dist-in/data/openrouter_models.json @@ -1,6 +1,427 @@ { - "timestamp": 1748021457653, + "timestamp": 1748976915123, "models": [ + { + "id": "deepseek/deepseek-r1-distill-qwen-7b", + "hugging_face_id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B", + "name": "DeepSeek: R1 Distill Qwen 7B", + "created": 1748628237, + "description": "DeepSeek-R1-Distill-Qwen-7B is a 7 billion parameter dense language model distilled from DeepSeek-R1, leveraging reinforcement learning-enhanced reasoning data generated by DeepSeek's larger models. The distillation process transfers advanced reasoning, math, and code capabilities into a smaller, more efficient model architecture based on Qwen2.5-Math-7B. This model demonstrates strong performance across mathematical benchmarks (92.8% pass@1 on MATH-500), coding tasks (Codeforces rating 1189), and general reasoning (49.1% pass@1 on GPQA Diamond), achieving competitive accuracy relative to larger models while maintaining smaller inference costs.", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Qwen", + "instruct_type": "deepseek-r1" + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000002", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "seed" + ] + }, + { + "id": "deepseek/deepseek-r1-0528-qwen3-8b:free", + "hugging_face_id": "deepseek-ai/deepseek-r1-0528-qwen3-8b", + "name": "DeepSeek: Deepseek R1 0528 Qwen3 8B (free)", + "created": 1748538543, + "description": "DeepSeek-R1-0528 is a lightly upgraded release of DeepSeek R1 that taps more compute and smarter post-training tricks, pushing its reasoning and inference to the brink of flagship models like O3 and Gemini 2.5 Pro.\nIt now tops math, programming, and logic leaderboards, showcasing a step-change in depth-of-thought.\nThe distilled variant, DeepSeek-R1-0528-Qwen3-8B, transfers this chain-of-thought into an 8 B-parameter form, beating standard Qwen3 8B by +10 pp and tying the 235 B “thinking” giant on AIME 2024.", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Qwen", + "instruct_type": "deepseek-r1" + }, + "pricing": { + "prompt": "0", + "completion": "0", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logprobs", + "logit_bias", + "top_logprobs" + ] + }, + { + "id": "deepseek/deepseek-r1-0528-qwen3-8b", + "hugging_face_id": "deepseek-ai/deepseek-r1-0528-qwen3-8b", + "name": "DeepSeek: Deepseek R1 0528 Qwen3 8B", + "created": 1748538543, + "description": "DeepSeek-R1-0528 is a lightly upgraded release of DeepSeek R1 that taps more compute and smarter post-training tricks, pushing its reasoning and inference to the brink of flagship models like O3 and Gemini 2.5 Pro.\nIt now tops math, programming, and logic leaderboards, showcasing a step-change in depth-of-thought.\nThe distilled variant, DeepSeek-R1-0528-Qwen3-8B, transfers this chain-of-thought into an 8 B-parameter form, beating standard Qwen3 8B by +10 pp and tying the 235 B “thinking” giant on AIME 2024.", + "context_length": 128000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Qwen", + "instruct_type": "deepseek-r1" + }, + "pricing": { + "prompt": "0.00000006", + "completion": "0.00000009", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": 32000, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logit_bias" + ] + }, + { + "id": "google/gemma-2b-it", + "hugging_face_id": "google/gemma-2b-it", + "name": "Google: Gemma 2 2B", + "created": 1748460815, + "description": "Gemma 2 2B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini).\n\nGemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning.\n\nSee the [launch announcement](https://blog.google/technology/developers/google-gemma-2/) for more details. Usage of Gemma is subject to Google's [Gemma Terms of Use](https://ai.google.dev/gemma/terms).", + "context_length": 8192, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Gemini", + "instruct_type": "gemma" + }, + "pricing": { + "prompt": "0.0000001", + "completion": "0.0000001", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 8192, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", + "logit_bias", + "min_p", + "response_format" + ] + }, + { + "id": "deepseek/deepseek-r1-0528:free", + "hugging_face_id": "deepseek-ai/DeepSeek-R1-0528", + "name": "DeepSeek: R1 0528 (free)", + "created": 1748455170, + "description": "May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model.", + "context_length": 163840, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "DeepSeek", + "instruct_type": "deepseek-r1" + }, + "pricing": { + "prompt": "0", + "completion": "0", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 163840, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logprobs", + "logit_bias", + "top_logprobs" + ] + }, + { + "id": "deepseek/deepseek-r1-0528", + "hugging_face_id": "deepseek-ai/DeepSeek-R1-0528", + "name": "DeepSeek: R1 0528", + "created": 1748455170, + "description": "May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model.", + "context_length": 128000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "DeepSeek", + "instruct_type": "deepseek-r1" + }, + "pricing": { + "prompt": "0.0000005", + "completion": "0.00000215", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": 32768, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", + "logit_bias", + "min_p", + "response_format", + "logprobs", + "top_logprobs", + "seed", + "structured_outputs" + ] + }, + { + "id": "sarvamai/sarvam-m:free", + "hugging_face_id": "sarvamai/sarvam-m", + "name": "Sarvam AI: Sarvam-M (free)", + "created": 1748188413, + "description": "Sarvam-M is a 24 B-parameter, instruction-tuned derivative of Mistral-Small-3.1-24B-Base-2503, post-trained on English plus eleven major Indic languages (bn, hi, kn, gu, mr, ml, or, pa, ta, te). The model introduces a dual-mode interface: “non-think” for low-latency chat and a optional “think” phase that exposes chain-of-thought tokens for more demanding reasoning, math, and coding tasks. \n\nBenchmark reports show solid gains versus similarly sized open models on Indic-language QA, GSM-8K math, and SWE-Bench coding, making Sarvam-M a practical general-purpose choice for multilingual conversational agents as well as analytical workloads that mix English, native Indic scripts, or romanized text.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0", + "completion": "0", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "min_p", + "repetition_penalty", + "logprobs", + "logit_bias", + "top_logprobs" + ] + }, + { + "id": "sarvamai/sarvam-m", + "hugging_face_id": "sarvamai/sarvam-m", + "name": "Sarvam AI: Sarvam-M", + "created": 1748188413, + "description": "Sarvam-M is a 24 B-parameter, instruction-tuned derivative of Mistral-Small-3.1-24B-Base-2503, post-trained on English plus eleven major Indic languages (bn, hi, kn, gu, mr, ml, or, pa, ta, te). The model introduces a dual-mode interface: “non-think” for low-latency chat and a optional “think” phase that exposes chain-of-thought tokens for more demanding reasoning, math, and coding tasks. \n\nBenchmark reports show solid gains versus similarly sized open models on Indic-language QA, GSM-8K math, and SWE-Bench coding, making Sarvam-M a practical general-purpose choice for multilingual conversational agents as well as analytical workloads that mix English, native Indic scripts, or romanized text.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000025", + "completion": "0.00000075", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": 32768, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "presence_penalty", + "frequency_penalty", + "repetition_penalty", + "top_k" + ] + }, + { + "id": "thedrummer/valkyrie-49b-v1", + "hugging_face_id": "TheDrummer/Valkyrie-49B-v1", + "name": "TheDrummer: Valkyrie 49B V1", + "created": 1748022670, + "description": "Built on top of NVIDIA's Llama 3.3 Nemotron Super 49B, Valkyrie is TheDrummer's newest model drop for creative writing.", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000005", + "completion": "0.0000008", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 131072, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "presence_penalty", + "frequency_penalty", + "repetition_penalty", + "top_k" + ] + }, { "id": "anthropic/claude-opus-4", "hugging_face_id": "", @@ -80,7 +501,7 @@ "top_provider": { "context_length": 200000, "max_completion_tokens": 64000, - "is_moderated": true + "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ @@ -128,6 +549,8 @@ }, "per_request_limits": null, "supported_parameters": [ + "tools", + "tool_choice", "max_tokens", "temperature", "top_p", @@ -149,7 +572,7 @@ "name": "Mistral: Devstral Small", "created": 1747837379, "description": "Devstral-Small-2505 is a 24B parameter agentic LLM fine-tuned from Mistral-Small-3.1, jointly developed by Mistral AI and All Hands AI for advanced software engineering tasks. It is optimized for codebase exploration, multi-file editing, and integration into coding agents, achieving state-of-the-art results on SWE-Bench Verified (46.8%).\n\nDevstral supports a 128k context window and uses a custom Tekken tokenizer. It is text-only, with the vision encoder removed, and is suitable for local deployment on high-end consumer hardware (e.g., RTX 4090, 32GB RAM Macs). Devstral is best used in agentic workflows via the OpenHands scaffold and is compatible with inference frameworks like vLLM, Transformers, and Ollama. It is released under the Apache 2.0 license.", - "context_length": 131072, + "context_length": 128000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -162,33 +585,34 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000007", - "completion": "0.0000001", + "prompt": "0.00000006", + "completion": "0.00000012", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 131072, + "context_length": 128000, "max_completion_tokens": null, "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ - "tools", - "tool_choice", "max_tokens", "temperature", "top_p", "stop", "frequency_penalty", "presence_penalty", - "response_format", - "structured_outputs", - "seed", "repetition_penalty", - "top_k" + "response_format", + "top_k", + "seed", + "min_p", + "tools", + "tool_choice", + "structured_outputs" ] }, { @@ -375,18 +799,10 @@ "supported_parameters": [ "tools", "tool_choice", - "max_tokens", - "reasoning", - "include_reasoning", - "structured_outputs", - "response_format", - "stop", - "frequency_penalty", - "presence_penalty", "seed", - "logit_bias", - "logprobs", - "top_logprobs" + "max_tokens", + "response_format", + "structured_outputs" ] }, { @@ -1495,7 +1911,7 @@ }, "top_provider": { "context_length": 128000, - "max_completion_tokens": null, + "max_completion_tokens": 20000, "is_moderated": false }, "per_request_limits": null, @@ -1598,6 +2014,8 @@ }, "per_request_limits": null, "supported_parameters": [ + "tools", + "tool_choice", "max_tokens", "temperature", "top_p", @@ -1704,14 +2122,17 @@ "top_p", "reasoning", "include_reasoning", + "seed", + "tools", + "tool_choice", "stop", "frequency_penalty", "presence_penalty", "repetition_penalty", "response_format", "top_k", - "seed", "min_p", + "structured_outputs", "logprobs", "top_logprobs", "logit_bias" @@ -1786,7 +2207,7 @@ "instruct_type": "qwen3" }, "pricing": { - "prompt": "0.00000014", + "prompt": "0.00000013", "completion": "0.0000006", "request": "0", "image": "0", @@ -1805,20 +2226,20 @@ "top_p", "reasoning", "include_reasoning", - "presence_penalty", + "stop", "frequency_penalty", - "repetition_penalty", + "presence_penalty", "top_k", + "repetition_penalty", + "logit_bias", + "min_p", + "response_format", + "seed", "tools", "tool_choice", - "stop", - "response_format", "structured_outputs", - "logit_bias", "logprobs", - "top_logprobs", - "seed", - "min_p" + "top_logprobs" ] }, { @@ -1899,7 +2320,7 @@ }, "top_provider": { "context_length": 32000, - "max_completion_tokens": null, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -2047,7 +2468,7 @@ }, "top_provider": { "context_length": 32000, - "max_completion_tokens": null, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -2143,7 +2564,7 @@ }, "top_provider": { "context_length": 32000, - "max_completion_tokens": null, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -2434,52 +2855,6 @@ "top_logprobs" ] }, - { - "id": "qwen/qwen2.5-coder-7b-instruct", - "hugging_face_id": "Qwen/Qwen2.5-Coder-7B-Instruct", - "name": "Qwen: Qwen2.5 Coder 7B Instruct", - "created": 1744734887, - "description": "Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows.\n\nThis model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license.", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Qwen", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000001", - "completion": "0.00000003", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "logit_bias", - "logprobs", - "top_logprobs" - ] - }, { "id": "openai/gpt-4.1", "hugging_face_id": "", @@ -3115,6 +3490,54 @@ "top_logprobs" ] }, + { + "id": "nvidia/llama-3.1-nemotron-ultra-253b-v1", + "hugging_face_id": "nvidia/Llama-3_1-Nemotron-Ultra-253B-v1", + "name": "NVIDIA: Llama 3.1 Nemotron Ultra 253B v1", + "created": 1744115059, + "description": "Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural Architecture Search (NAS), resulting in enhanced efficiency, reduced memory usage, and improved inference latency. The model supports a context length of up to 128K tokens and can operate efficiently on an 8x NVIDIA H100 node.\n\nNote: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000006", + "completion": "0.0000018", + "request": "0", + "image": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": null, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "top_p", + "reasoning", + "include_reasoning", + "stop", + "frequency_penalty", + "presence_penalty", + "seed", + "top_k", + "logit_bias", + "logprobs", + "top_logprobs" + ] + }, { "id": "meta-llama/llama-4-maverick:free", "hugging_face_id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct", @@ -3188,7 +3611,7 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000016", + "prompt": "0.00000015", "completion": "0.0000006", "request": "0", "image": "0.0006684", @@ -3205,20 +3628,20 @@ "max_tokens", "temperature", "top_p", - "stop", - "frequency_penalty", "presence_penalty", - "seed", - "top_k", - "min_p", + "frequency_penalty", "repetition_penalty", + "top_k", + "stop", + "response_format", + "seed", + "min_p", "logit_bias", "logprobs", "top_logprobs", "tools", "tool_choice", - "structured_outputs", - "response_format" + "structured_outputs" ] }, { @@ -3741,6 +4164,8 @@ }, "per_request_limits": null, "supported_parameters": [ + "tools", + "tool_choice", "max_tokens", "temperature", "top_p", @@ -3790,18 +4215,18 @@ }, "per_request_limits": null, "supported_parameters": [ + "tools", + "tool_choice", "max_tokens", "temperature", "top_p", - "presence_penalty", - "frequency_penalty", - "repetition_penalty", - "top_k", - "stop", - "tools", - "tool_choice", - "response_format", "structured_outputs", + "response_format", + "stop", + "frequency_penalty", + "presence_penalty", + "top_k", + "repetition_penalty", "logit_bias", "logprobs", "top_logprobs", @@ -3888,19 +4313,10 @@ }, "per_request_limits": null, "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "reasoning", - "include_reasoning", - "stop", - "frequency_penalty", - "presence_penalty", "seed", - "logit_bias", - "logprobs", - "top_logprobs", - "response_format" + "max_tokens", + "response_format", + "structured_outputs" ] }, { @@ -5068,8 +5484,6 @@ "logprobs", "top_logprobs", "seed", - "tools", - "tool_choice", "structured_outputs" ] }, @@ -5304,62 +5718,15 @@ }, "per_request_limits": null, "supported_parameters": [ - "tools", - "tool_choice", "max_tokens", "temperature", - "top_p", + "stop", "reasoning", "include_reasoning", - "top_k", - "stop" - ] - }, - { - "id": "anthropic/claude-3.7-sonnet:thinking", - "hugging_face_id": "", - "name": "Anthropic: Claude 3.7 Sonnet (thinking)", - "created": 1740422110, - "description": "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000003", - "completion": "0.000015", - "request": "0", - "image": "0.0048", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000003", - "input_cache_write": "0.00000375" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 64000, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ "tools", "tool_choice", - "max_tokens", - "temperature", "top_p", - "reasoning", - "include_reasoning", - "top_k", - "stop" + "top_k" ] }, { @@ -5407,6 +5774,51 @@ "tool_choice" ] }, + { + "id": "anthropic/claude-3.7-sonnet:thinking", + "hugging_face_id": "", + "name": "Anthropic: Claude 3.7 Sonnet (thinking)", + "created": 1740422110, + "description": "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)", + "context_length": 200000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000003", + "completion": "0.000015", + "request": "0", + "image": "0.0048", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.0000003", + "input_cache_write": "0.00000375" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 128000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "temperature", + "stop", + "reasoning", + "include_reasoning", + "tools", + "tool_choice" + ] + }, { "id": "perplexity/r1-1776", "hugging_face_id": "perplexity-ai/r1-1776", @@ -6127,12 +6539,12 @@ "stop", "frequency_penalty", "presence_penalty", + "seed", "top_k", + "min_p", "repetition_penalty", "logit_bias", - "min_p", "response_format", - "seed", "logprobs", "top_logprobs" ] @@ -6369,7 +6781,7 @@ "name": "Mistral: Mistral Small 3", "created": 1738255409, "description": "Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment.\n\nThe model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. [Read the blog post about the model here.](https://mistral.ai/news/mistral-small-3/)", - "context_length": 28000, + "context_length": 32768, "architecture": { "modality": "text->text", "input_modalities": [ @@ -6382,7 +6794,7 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000005", + "prompt": "0.00000006", "completion": "0.00000012", "request": "0", "image": "0", @@ -6390,8 +6802,8 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 28000, - "max_completion_tokens": 14000, + "context_length": 32768, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -6419,7 +6831,7 @@ "hugging_face_id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "name": "DeepSeek: R1 Distill Qwen 32B (free)", "created": 1738194830, - "description": "DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.", + "description": "DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\\n\\nOther benchmark results include:\\n\\n- AIME 2024 pass@1: 72.6\\n- MATH-500 pass@1: 94.3\\n- CodeForces Rating: 1691\\n\\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.", "context_length": 16000, "architecture": { "modality": "text->text", @@ -6459,7 +6871,7 @@ "hugging_face_id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "name": "DeepSeek: R1 Distill Qwen 32B", "created": 1738194830, - "description": "DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.", + "description": "DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\\n\\nOther benchmark results include:\\n\\n- AIME 2024 pass@1: 72.6\\n- MATH-500 pass@1: 94.3\\n- CodeForces Rating: 1691\\n\\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.", "context_length": 131072, "architecture": { "modality": "text->text", @@ -6492,15 +6904,15 @@ "top_p", "reasoning", "include_reasoning", + "seed", "stop", "frequency_penalty", "presence_penalty", - "repetition_penalty", - "response_format", "top_k", - "seed", "min_p", - "logit_bias" + "repetition_penalty", + "logit_bias", + "response_format" ] }, { @@ -6581,7 +6993,7 @@ }, "top_provider": { "context_length": 64000, - "max_completion_tokens": 64000, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -6591,15 +7003,15 @@ "top_p", "reasoning", "include_reasoning", + "seed", "stop", "frequency_penalty", "presence_penalty", "top_k", + "min_p", "repetition_penalty", "logit_bias", - "min_p", - "response_format", - "seed" + "response_format" ] }, { @@ -6872,11 +7284,11 @@ "top_p", "reasoning", "include_reasoning", + "seed", "top_k", "stop", "frequency_penalty", "presence_penalty", - "seed", "logit_bias", "logprobs", "top_logprobs", @@ -6941,7 +7353,7 @@ "name": "DeepSeek: R1", "created": 1737381095, "description": "DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120).\n\nMIT licensed: Distill & commercialize freely!", - "context_length": 163840, + "context_length": 128000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -6954,16 +7366,16 @@ "instruct_type": "deepseek-r1" }, "pricing": { - "prompt": "0.0000005", - "completion": "0.00000218", + "prompt": "0.00000045", + "completion": "0.00000215", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 163840, - "max_completion_tokens": 163840, + "context_length": 128000, + "max_completion_tokens": 32768, "is_moderated": false }, "per_request_limits": null, @@ -6978,13 +7390,13 @@ "presence_penalty", "seed", "top_k", + "min_p", "logit_bias", - "logprobs", "top_logprobs", - "repetition_penalty", "response_format", "structured_outputs", - "min_p", + "logprobs", + "repetition_penalty", "tools", "tool_choice" ] @@ -7205,23 +7617,23 @@ }, "per_request_limits": null, "supported_parameters": [ + "tools", + "tool_choice", "max_tokens", "temperature", "top_p", + "structured_outputs", + "response_format", "stop", "frequency_penalty", "presence_penalty", - "repetition_penalty", - "response_format", "top_k", - "seed", - "min_p", + "repetition_penalty", "logit_bias", "logprobs", "top_logprobs", - "tools", - "tool_choice", - "structured_outputs" + "seed", + "min_p" ] }, { @@ -7628,13 +8040,13 @@ "frequency_penalty", "presence_penalty", "seed", + "top_k", + "min_p", + "repetition_penalty", "logit_bias", "logprobs", "top_logprobs", "response_format", - "top_k", - "min_p", - "repetition_penalty", "structured_outputs" ] }, @@ -7782,8 +8194,8 @@ "instruct_type": "deepseek-r1" }, "pricing": { - "prompt": "0.00000009", - "completion": "0.00000027", + "prompt": "0.0000002", + "completion": "0.0000002", "request": "0", "image": "0", "web_search": "0", @@ -8233,8 +8645,7 @@ "response_format", "seed", "logprobs", - "top_logprobs", - "top_a" + "top_logprobs" ] }, { @@ -8331,7 +8742,7 @@ { "id": "thedrummer/unslopnemo-12b", "hugging_face_id": "TheDrummer/UnslopNemo-12B-v4.1", - "name": "Unslopnemo 12B", + "name": "TheDrummer: UnslopNemo 12B", "created": 1731103448, "description": "UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.", "context_length": 32000, @@ -9145,7 +9556,7 @@ { "id": "thedrummer/rocinante-12b", "hugging_face_id": "TheDrummer/Rocinante-12B-v1.1", - "name": "Rocinante 12B", + "name": "TheDrummer: Rocinante 12B", "created": 1727654400, "description": "Rocinante 12B is designed for engaging storytelling and rich prose.\n\nEarly testers have reported:\n- Expanded vocabulary with unique and expressive word choices\n- Enhanced creativity for vivid narratives\n- Adventure-filled and captivating stories", "context_length": 32768, @@ -9459,8 +9870,7 @@ "seed", "min_p", "logit_bias", - "top_logprobs", - "logprobs" + "top_logprobs" ] }, { @@ -9595,14 +10005,14 @@ "max_tokens", "temperature", "top_p", - "stop", + "top_k", + "seed", + "repetition_penalty", "frequency_penalty", "presence_penalty", - "seed", - "top_k", - "min_p", - "repetition_penalty", + "stop", "logit_bias", + "min_p", "response_format", "top_logprobs", "tools", @@ -10205,7 +10615,7 @@ "name": "Microsoft: Phi-3.5 Mini 128K Instruct", "created": 1724198400, "description": "Phi-3.5 models are lightweight, state-of-the-art open models. These models were trained with Phi-3 datasets that include both synthetic data and the filtered, publicly available websites data, with a focus on high quality and reasoning-dense properties. Phi-3.5 Mini uses 3.8B parameters, and is a dense decoder-only transformer model using the same tokenizer as [Phi-3 Mini](/models/microsoft/phi-3-mini-128k-instruct).\n\nThe models underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures. When assessed against benchmarks that test common sense, language understanding, math, code, long context and logical reasoning, Phi-3.5 models showcased robust and state-of-the-art performance among models with less than 13 billion parameters.", - "context_length": 131072, + "context_length": 128000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -10218,15 +10628,15 @@ "instruct_type": "phi3" }, "pricing": { - "prompt": "0.00000003", - "completion": "0.00000009", + "prompt": "0.0000001", + "completion": "0.0000001", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 131072, + "context_length": 128000, "max_completion_tokens": null, "is_moderated": false }, @@ -10236,15 +10646,7 @@ "tool_choice", "max_tokens", "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "logit_bias", - "logprobs", - "top_logprobs" + "top_p" ] }, { @@ -10291,11 +10693,11 @@ "logprobs", "top_logprobs", "response_format", + "tools", + "tool_choice", "top_k", "min_p", - "repetition_penalty", - "tools", - "tool_choice" + "repetition_penalty" ] }, { @@ -10513,13 +10915,12 @@ "request": "0", "image": "0.003613", "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000125" + "internal_reasoning": "0" }, "top_provider": { "context_length": 128000, "max_completion_tokens": 16384, - "is_moderated": true + "is_moderated": false }, "per_request_limits": null, "supported_parameters": [ @@ -10961,51 +11362,6 @@ "structured_outputs" ] }, - { - "id": "mistralai/codestral-mamba", - "hugging_face_id": "mistralai/mamba-codestral-7B-v0.1", - "name": "Mistral: Codestral Mamba", - "created": 1721347200, - "description": "A 7.3B parameter Mamba-based model designed for code and reasoning tasks.\n\n- Linear time inference, allowing for theoretically infinite sequence lengths\n- 256k token context window\n- Optimized for quick responses, especially beneficial for code productivity\n- Performs comparably to state-of-the-art transformer models in code and reasoning tasks\n- Available under the Apache 2.0 license for free use, modification, and distribution", - "context_length": 262144, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Mistral", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000025", - "completion": "0.00000025", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 262144, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "tools", - "tool_choice", - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "response_format", - "seed" - ] - }, { "id": "mistralai/mistral-nemo:free", "hugging_face_id": "mistralai/Mistral-Nemo-Instruct-2407", @@ -11082,7 +11438,7 @@ }, "top_provider": { "context_length": 131072, - "max_completion_tokens": 131072, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -11093,17 +11449,17 @@ "stop", "frequency_penalty", "presence_penalty", - "seed", + "repetition_penalty", + "response_format", "top_k", + "seed", + "min_p", "logit_bias", "logprobs", "top_logprobs", "tools", "tool_choice", - "response_format", - "structured_outputs", - "repetition_penalty", - "min_p" + "structured_outputs" ] }, { @@ -11231,8 +11587,8 @@ "instruct_type": "gemma" }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000003", + "prompt": "0.0000008", + "completion": "0.0000008", "request": "0", "image": "0", "web_search": "0", @@ -11240,7 +11596,7 @@ }, "top_provider": { "context_length": 8192, - "max_completion_tokens": null, + "max_completion_tokens": 2048, "is_moderated": false }, "per_request_limits": null, @@ -11255,10 +11611,7 @@ "repetition_penalty", "logit_bias", "min_p", - "response_format", - "seed", - "logprobs", - "top_logprobs" + "response_format" ] }, { @@ -11373,8 +11726,8 @@ "instruct_type": "gemma" }, "pricing": { - "prompt": "0.00000002", - "completion": "0.00000006", + "prompt": "0.0000002", + "completion": "0.0000002", "request": "0", "image": "0", "web_search": "0", @@ -11382,7 +11735,7 @@ }, "top_provider": { "context_length": 8192, - "max_completion_tokens": null, + "max_completion_tokens": 8192, "is_moderated": false }, "per_request_limits": null, @@ -11393,14 +11746,11 @@ "stop", "frequency_penalty", "presence_penalty", - "seed", - "top_k", - "min_p", - "repetition_penalty", - "logit_bias", "response_format", "top_logprobs", - "logprobs" + "logprobs", + "logit_bias", + "seed" ] }, { @@ -11774,8 +12124,7 @@ "seed", "logprobs", "tools", - "tool_choice", - "structured_outputs" + "tool_choice" ] }, { @@ -11874,8 +12223,7 @@ "seed", "tools", "tool_choice", - "logprobs", - "structured_outputs" + "logprobs" ] }, { @@ -11924,7 +12272,7 @@ "name": "Microsoft: Phi-3 Medium 128K Instruct", "created": 1716508800, "description": "Phi-3 128K Medium is a powerful 14-billion parameter model designed for advanced language understanding, reasoning, and instruction following. Optimized through supervised fine-tuning and preference adjustments, it excels in tasks involving common sense, mathematics, logical reasoning, and code processing.\n\nAt time of release, Phi-3 Medium demonstrated state-of-the-art performance among lightweight models. In the MMLU-Pro eval, the model even comes close to a Llama3 70B level of performance.\n\nFor 4k context length, try [Phi-3 Medium 4K](/models/microsoft/phi-3-medium-4k-instruct).", - "context_length": 131072, + "context_length": 128000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -11937,15 +12285,15 @@ "instruct_type": "phi3" }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000003", + "prompt": "0.000001", + "completion": "0.000001", "request": "0", "image": "0", "web_search": "0", "internal_reasoning": "0" }, "top_provider": { - "context_length": 131072, + "context_length": 128000, "max_completion_tokens": null, "is_moderated": false }, @@ -11955,15 +12303,7 @@ "tool_choice", "max_tokens", "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "logit_bias", - "logprobs", - "top_logprobs" + "top_p" ] }, { @@ -12011,52 +12351,6 @@ "seed" ] }, - { - "id": "deepseek/deepseek-coder", - "hugging_face_id": "deepseek-ai/DeepSeek-Coder-V2-Instruct", - "name": "DeepSeek-Coder-V2", - "created": 1715644800, - "description": "DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model. It is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens.\n\nThe original V1 model was trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. It was pre-trained on project-level code corpus by employing a extra fill-in-the-blank task.", - "context_length": 128000, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Other", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000004", - "completion": "0.00000012", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "logit_bias", - "logprobs", - "top_logprobs" - ] - }, { "id": "google/gemini-flash-1.5", "hugging_face_id": null, @@ -12309,99 +12603,6 @@ "structured_outputs" ] }, - { - "id": "allenai/olmo-7b-instruct", - "hugging_face_id": "allenai/OLMo-7B-Instruct", - "name": "OLMo 7B Instruct", - "created": 1715299200, - "description": "OLMo 7B Instruct by the Allen Institute for AI is a model finetuned for question answering. It demonstrates **notable performance** across multiple benchmarks including TruthfulQA and ToxiGen.\n\n**Open Source**: The model, its code, checkpoints, logs are released under the [Apache 2.0 license](https://choosealicense.com/licenses/apache-2.0).\n\n- [Core repo (training, inference, fine-tuning etc.)](https://github.com/allenai/OLMo)\n- [Evaluation code](https://github.com/allenai/OLMo-Eval)\n- [Further fine-tuning code](https://github.com/allenai/open-instruct)\n- [Paper](https://arxiv.org/abs/2402.00838)\n- [Technical blog post](https://blog.allenai.org/olmo-open-language-model-87ccfc95f580)\n- [W&B Logs](https://wandb.ai/ai2-llm/OLMo-7B/reports/OLMo-7B--Vmlldzo2NzQyMzk5)", - "context_length": 2048, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Other", - "instruct_type": "zephyr" - }, - "pricing": { - "prompt": "0.00000008", - "completion": "0.00000024", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 2048, - "max_completion_tokens": null, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "seed", - "top_k", - "logit_bias", - "logprobs", - "top_logprobs" - ] - }, - { - "id": "neversleep/llama-3-lumimaid-8b:extended", - "hugging_face_id": "NeverSleep/Llama-3-Lumimaid-8B-v0.1", - "name": "NeverSleep: Llama 3 Lumimaid 8B (extended)", - "created": 1714780800, - "description": "The NeverSleep team is back, with a Llama 3 8B finetune trained on their curated roleplay data. Striking a balance between eRP and RP, Lumimaid was designed to be serious, yet uncensored when necessary.\n\nTo enhance it's overall intelligence and chat capability, roughly 40% of the training data was not roleplay. This provides a breadth of knowledge to access, while still keeping roleplay as the primary strength.\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 24576, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.0000002", - "completion": "0.00000125", - "request": "0", - "image": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 24576, - "max_completion_tokens": 2048, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "temperature", - "top_p", - "stop", - "frequency_penalty", - "presence_penalty", - "repetition_penalty", - "logit_bias", - "top_k", - "min_p", - "seed", - "top_a" - ] - }, { "id": "neversleep/llama-3-lumimaid-8b", "hugging_face_id": "NeverSleep/Llama-3-Lumimaid-8B-v0.1", @@ -12616,8 +12817,8 @@ "instruct_type": "mistral" }, "pricing": { - "prompt": "0.0000004", - "completion": "0.0000012", + "prompt": "0.0000009", + "completion": "0.0000009", "request": "0", "image": "0", "web_search": "0", @@ -12667,8 +12868,8 @@ "instruct_type": "vicuna" }, "pricing": { - "prompt": "0.0000005", - "completion": "0.0000005", + "prompt": "0.00000048", + "completion": "0.00000048", "request": "0", "image": "0", "web_search": "0", @@ -12676,7 +12877,7 @@ }, "top_provider": { "context_length": 65536, - "max_completion_tokens": 16384, + "max_completion_tokens": 65536, "is_moderated": false }, "per_request_limits": null, @@ -12684,13 +12885,13 @@ "max_tokens", "temperature", "top_p", - "presence_penalty", - "frequency_penalty", - "repetition_penalty", - "top_k", "stop", + "frequency_penalty", + "presence_penalty", "seed", + "top_k", "min_p", + "repetition_penalty", "logit_bias", "response_format" ] @@ -12911,7 +13112,7 @@ }, "top_provider": { "context_length": 4096, - "max_completion_tokens": null, + "max_completion_tokens": 2048, "is_moderated": false }, "per_request_limits": null, @@ -13756,9 +13957,7 @@ "logit_bias", "min_p", "response_format", - "seed", - "logprobs", - "top_logprobs" + "seed" ] }, { @@ -14323,11 +14522,9 @@ "frequency_penalty", "presence_penalty", "repetition_penalty", - "logit_bias", "top_k", "min_p", - "seed", - "top_a" + "seed" ] }, { @@ -14685,13 +14882,13 @@ "max_tokens", "temperature", "top_p", - "presence_penalty", - "frequency_penalty", - "repetition_penalty", - "top_k", "stop", + "frequency_penalty", + "presence_penalty", "seed", + "top_k", "min_p", + "repetition_penalty", "logit_bias", "response_format", "top_a" diff --git a/packages/kbot/dist-in/models/cache/openai-models.d.ts b/packages/kbot/dist-in/models/cache/openai-models.d.ts index 28e333b3..01242295 100644 --- a/packages/kbot/dist-in/models/cache/openai-models.d.ts +++ b/packages/kbot/dist-in/models/cache/openai-models.d.ts @@ -1,75 +1,77 @@ export declare 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_GPT_4_1106_PREVIEW = "gpt-4-1106-preview", + MODEL_GPT_4_0613 = "gpt-4-0613", + MODEL_GPT_4 = "gpt-4", + MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo", + MODEL_GPT_4O_AUDIO_PREVIEW_2025_06_03 = "gpt-4o-audio-preview-2025-06-03", + MODEL_GPT_4_1_NANO = "gpt-4.1-nano", + MODEL_GPT_IMAGE_1 = "gpt-image-1", + MODEL_CODEX_MINI_LATEST = "codex-mini-latest", + MODEL_GPT_4O_REALTIME_PREVIEW_2025_06_03 = "gpt-4o-realtime-preview-2025-06-03", + MODEL_DAVINCI_002 = "davinci-002", + MODEL_BABBAGE_002 = "babbage-002", + MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", + MODEL_GPT_3_5_TURBO_INSTRUCT_0914 = "gpt-3.5-turbo-instruct-0914", 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_4_TURBO_PREVIEW = "gpt-4-turbo-preview", - MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", - MODEL_BABBAGE_002 = "babbage-002", - MODEL_GPT_4 = "gpt-4", - MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002", - MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", - MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", - 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_4_1_NANO = "gpt-4.1-nano", - 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_1_NANO_2025_04_14 = "gpt-4.1-nano-2025-04-14", - MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", - MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", - MODEL_DAVINCI_002 = "davinci-002", + MODEL_GPT_4_1106_PREVIEW = "gpt-4-1106-preview", MODEL_GPT_3_5_TURBO_1106 = "gpt-3.5-turbo-1106", - MODEL_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", - MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", - MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo", - MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31", - MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", - MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview", - MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", - MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", - MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", - MODEL_O1_2024_12_17 = "o1-2024-12-17", - MODEL_O1 = "o1", - MODEL_GPT_4_0613 = "gpt-4-0613", - MODEL_O1_MINI = "o1-mini", - MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts", - MODEL_O1_PRO = "o1-pro", - MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", - MODEL_GPT_4_5_PREVIEW = "gpt-4.5-preview", - MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19", - 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_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", - MODEL_GPT_IMAGE_1 = "gpt-image-1", - MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12", MODEL_TTS_1_HD = "tts-1-hd", - MODEL_GPT_4O = "gpt-4o", + MODEL_TTS_1_1106 = "tts-1-1106", MODEL_TTS_1_HD_1106 = "tts-1-hd-1106", - 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_GPT_4_1_MINI = "gpt-4.1-mini", - MODEL_GPT_4O_MINI = "gpt-4o-mini", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", + MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", + MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", + MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview", + MODEL_GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview", MODEL_GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125", MODEL_GPT_4_TURBO = "gpt-4-turbo", - MODEL_TTS_1 = "tts-1", MODEL_GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09", - MODEL_TTS_1_1106 = "tts-1-1106", - MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", - MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", - MODEL_GPT_4_1_MINI_2025_04_14 = "gpt-4.1-mini-2025-04-14", - MODEL_O3_MINI = "o3-mini", - MODEL_GPT_4_1 = "gpt-4.1", - MODEL_WHISPER_1 = "whisper-1", - MODEL_GPT_4_1_2025_04_14 = "gpt-4.1-2025-04-14", - MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest", - MODEL_O4_MINI = "o4-mini", - MODEL_O4_MINI_2025_04_16 = "o4-mini-2025-04-16", - MODEL_CODEX_MINI_LATEST = "codex-mini-latest", + MODEL_GPT_4O = "gpt-4o", + MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", + MODEL_GPT_4O_MINI_2024_07_18 = "gpt-4o-mini-2024-07-18", + MODEL_GPT_4O_MINI = "gpt-4o-mini", + MODEL_GPT_4O_2024_08_06 = "gpt-4o-2024-08-06", + MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest", MODEL_O1_PREVIEW_2024_09_12 = "o1-preview-2024-09-12", - MODEL_O1_PREVIEW = "o1-preview" + MODEL_O1_PREVIEW = "o1-preview", + MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12", + MODEL_O1_MINI = "o1-mini", + MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", + MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01 = "gpt-4o-audio-preview-2024-10-01", + MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", + MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", + MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest", + MODEL_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", + 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_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-mini-realtime-preview-2024-12-17", + MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", + MODEL_O1_2024_12_17 = "o1-2024-12-17", + MODEL_O1 = "o1", + MODEL_GPT_4O_MINI_REALTIME_PREVIEW = "gpt-4o-mini-realtime-preview", + MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", + MODEL_O3_MINI = "o3-mini", + MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31", + MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", + 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_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", + MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", + MODEL_GPT_4O_MINI_SEARCH_PREVIEW = "gpt-4o-mini-search-preview", + MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", + MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", + MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19", + MODEL_O1_PRO = "o1-pro", + MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts", + MODEL_O4_MINI_2025_04_16 = "o4-mini-2025-04-16", + MODEL_O4_MINI = "o4-mini", + MODEL_GPT_4_1_2025_04_14 = "gpt-4.1-2025-04-14", + MODEL_GPT_4_1 = "gpt-4.1", + MODEL_GPT_4_1_MINI_2025_04_14 = "gpt-4.1-mini-2025-04-14", + MODEL_GPT_4_1_MINI = "gpt-4.1-mini", + MODEL_GPT_4_1_NANO_2025_04_14 = "gpt-4.1-nano-2025-04-14", + MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", + MODEL_TTS_1 = "tts-1", + MODEL_WHISPER_1 = "whisper-1", + MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002" } diff --git a/packages/kbot/dist-in/models/cache/openai-models.js b/packages/kbot/dist-in/models/cache/openai-models.js index ff827d5b..9dcd475b 100644 --- a/packages/kbot/dist-in/models/cache/openai-models.js +++ b/packages/kbot/dist-in/models/cache/openai-models.js @@ -1,77 +1,79 @@ export var E_OPENAI_MODEL; (function (E_OPENAI_MODEL) { - E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-realtime-preview-2024-12-17"; - E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-audio-preview-2024-12-17"; - E_OPENAI_MODEL["MODEL_GPT_4_1106_PREVIEW"] = "gpt-4-1106-preview"; + E_OPENAI_MODEL["MODEL_GPT_4_0613"] = "gpt-4-0613"; + E_OPENAI_MODEL["MODEL_GPT_4"] = "gpt-4"; + E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO"] = "gpt-3.5-turbo"; + E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2025_06_03"] = "gpt-4o-audio-preview-2025-06-03"; + E_OPENAI_MODEL["MODEL_GPT_4_1_NANO"] = "gpt-4.1-nano"; + E_OPENAI_MODEL["MODEL_GPT_IMAGE_1"] = "gpt-image-1"; + E_OPENAI_MODEL["MODEL_CODEX_MINI_LATEST"] = "codex-mini-latest"; + E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2025_06_03"] = "gpt-4o-realtime-preview-2025-06-03"; + E_OPENAI_MODEL["MODEL_DAVINCI_002"] = "davinci-002"; + E_OPENAI_MODEL["MODEL_BABBAGE_002"] = "babbage-002"; + E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT"] = "gpt-3.5-turbo-instruct"; + E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT_0914"] = "gpt-3.5-turbo-instruct-0914"; E_OPENAI_MODEL["MODEL_DALL_E_3"] = "dall-e-3"; E_OPENAI_MODEL["MODEL_DALL_E_2"] = "dall-e-2"; - E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01"] = "gpt-4o-audio-preview-2024-10-01"; - E_OPENAI_MODEL["MODEL_GPT_4_TURBO_PREVIEW"] = "gpt-4-turbo-preview"; - E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_SMALL"] = "text-embedding-3-small"; - E_OPENAI_MODEL["MODEL_BABBAGE_002"] = "babbage-002"; - E_OPENAI_MODEL["MODEL_GPT_4"] = "gpt-4"; - E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_ADA_002"] = "text-embedding-ada-002"; - E_OPENAI_MODEL["MODEL_CHATGPT_4O_LATEST"] = "chatgpt-4o-latest"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW"] = "gpt-4o-mini-audio-preview"; - E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW"] = "gpt-4o-audio-preview"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW"] = "gpt-4o-mini-realtime-preview"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-mini-realtime-preview-2024-12-17"; - E_OPENAI_MODEL["MODEL_GPT_4_1_NANO"] = "gpt-4.1-nano"; - E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT_0914"] = "gpt-3.5-turbo-instruct-0914"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW"] = "gpt-4o-mini-search-preview"; - E_OPENAI_MODEL["MODEL_GPT_4_1_NANO_2025_04_14"] = "gpt-4.1-nano-2025-04-14"; - E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_16K"] = "gpt-3.5-turbo-16k"; - E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW"] = "gpt-4o-realtime-preview"; - E_OPENAI_MODEL["MODEL_DAVINCI_002"] = "davinci-002"; + E_OPENAI_MODEL["MODEL_GPT_4_1106_PREVIEW"] = "gpt-4-1106-preview"; E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_1106"] = "gpt-3.5-turbo-1106"; - E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW"] = "gpt-4o-search-preview"; - E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT"] = "gpt-3.5-turbo-instruct"; - E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO"] = "gpt-3.5-turbo"; - E_OPENAI_MODEL["MODEL_O3_MINI_2025_01_31"] = "o3-mini-2025-01-31"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-mini-search-preview-2025-03-11"; - E_OPENAI_MODEL["MODEL_GPT_4_0125_PREVIEW"] = "gpt-4-0125-preview"; - E_OPENAI_MODEL["MODEL_GPT_4O_2024_11_20"] = "gpt-4o-2024-11-20"; - E_OPENAI_MODEL["MODEL_GPT_4O_2024_05_13"] = "gpt-4o-2024-05-13"; - E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_LARGE"] = "text-embedding-3-large"; - E_OPENAI_MODEL["MODEL_O1_2024_12_17"] = "o1-2024-12-17"; - E_OPENAI_MODEL["MODEL_O1"] = "o1"; - E_OPENAI_MODEL["MODEL_GPT_4_0613"] = "gpt-4-0613"; - E_OPENAI_MODEL["MODEL_O1_MINI"] = "o1-mini"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TTS"] = "gpt-4o-mini-tts"; - E_OPENAI_MODEL["MODEL_O1_PRO"] = "o1-pro"; - E_OPENAI_MODEL["MODEL_GPT_4O_TRANSCRIBE"] = "gpt-4o-transcribe"; - E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW"] = "gpt-4.5-preview"; - E_OPENAI_MODEL["MODEL_O1_PRO_2025_03_19"] = "o1-pro-2025-03-19"; - E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW_2025_02_27"] = "gpt-4.5-preview-2025-02-27"; - E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-search-preview-2025-03-11"; - E_OPENAI_MODEL["MODEL_OMNI_MODERATION_2024_09_26"] = "omni-moderation-2024-09-26"; - E_OPENAI_MODEL["MODEL_GPT_IMAGE_1"] = "gpt-image-1"; - E_OPENAI_MODEL["MODEL_O1_MINI_2024_09_12"] = "o1-mini-2024-09-12"; E_OPENAI_MODEL["MODEL_TTS_1_HD"] = "tts-1-hd"; - E_OPENAI_MODEL["MODEL_GPT_4O"] = "gpt-4o"; + E_OPENAI_MODEL["MODEL_TTS_1_1106"] = "tts-1-1106"; E_OPENAI_MODEL["MODEL_TTS_1_HD_1106"] = "tts-1-hd-1106"; - E_OPENAI_MODEL["MODEL_GPT_4O_2024_08_06"] = "gpt-4o-2024-08-06"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_2024_07_18"] = "gpt-4o-mini-2024-07-18"; - E_OPENAI_MODEL["MODEL_GPT_4_1_MINI"] = "gpt-4.1-mini"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI"] = "gpt-4o-mini"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-mini-audio-preview-2024-12-17"; + E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_SMALL"] = "text-embedding-3-small"; + E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_LARGE"] = "text-embedding-3-large"; + E_OPENAI_MODEL["MODEL_GPT_4_0125_PREVIEW"] = "gpt-4-0125-preview"; + E_OPENAI_MODEL["MODEL_GPT_4_TURBO_PREVIEW"] = "gpt-4-turbo-preview"; E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_0125"] = "gpt-3.5-turbo-0125"; E_OPENAI_MODEL["MODEL_GPT_4_TURBO"] = "gpt-4-turbo"; - E_OPENAI_MODEL["MODEL_TTS_1"] = "tts-1"; E_OPENAI_MODEL["MODEL_GPT_4_TURBO_2024_04_09"] = "gpt-4-turbo-2024-04-09"; - E_OPENAI_MODEL["MODEL_TTS_1_1106"] = "tts-1-1106"; - E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01"] = "gpt-4o-realtime-preview-2024-10-01"; - E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TRANSCRIBE"] = "gpt-4o-mini-transcribe"; - E_OPENAI_MODEL["MODEL_GPT_4_1_MINI_2025_04_14"] = "gpt-4.1-mini-2025-04-14"; - E_OPENAI_MODEL["MODEL_O3_MINI"] = "o3-mini"; - E_OPENAI_MODEL["MODEL_GPT_4_1"] = "gpt-4.1"; - E_OPENAI_MODEL["MODEL_WHISPER_1"] = "whisper-1"; - E_OPENAI_MODEL["MODEL_GPT_4_1_2025_04_14"] = "gpt-4.1-2025-04-14"; - E_OPENAI_MODEL["MODEL_OMNI_MODERATION_LATEST"] = "omni-moderation-latest"; - E_OPENAI_MODEL["MODEL_O4_MINI"] = "o4-mini"; - E_OPENAI_MODEL["MODEL_O4_MINI_2025_04_16"] = "o4-mini-2025-04-16"; - E_OPENAI_MODEL["MODEL_CODEX_MINI_LATEST"] = "codex-mini-latest"; + E_OPENAI_MODEL["MODEL_GPT_4O"] = "gpt-4o"; + E_OPENAI_MODEL["MODEL_GPT_4O_2024_05_13"] = "gpt-4o-2024-05-13"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_2024_07_18"] = "gpt-4o-mini-2024-07-18"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI"] = "gpt-4o-mini"; + E_OPENAI_MODEL["MODEL_GPT_4O_2024_08_06"] = "gpt-4o-2024-08-06"; + E_OPENAI_MODEL["MODEL_CHATGPT_4O_LATEST"] = "chatgpt-4o-latest"; E_OPENAI_MODEL["MODEL_O1_PREVIEW_2024_09_12"] = "o1-preview-2024-09-12"; E_OPENAI_MODEL["MODEL_O1_PREVIEW"] = "o1-preview"; + E_OPENAI_MODEL["MODEL_O1_MINI_2024_09_12"] = "o1-mini-2024-09-12"; + E_OPENAI_MODEL["MODEL_O1_MINI"] = "o1-mini"; + E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01"] = "gpt-4o-realtime-preview-2024-10-01"; + E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01"] = "gpt-4o-audio-preview-2024-10-01"; + E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW"] = "gpt-4o-audio-preview"; + E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW"] = "gpt-4o-realtime-preview"; + E_OPENAI_MODEL["MODEL_OMNI_MODERATION_LATEST"] = "omni-moderation-latest"; + E_OPENAI_MODEL["MODEL_OMNI_MODERATION_2024_09_26"] = "omni-moderation-2024-09-26"; + E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-realtime-preview-2024-12-17"; + E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-audio-preview-2024-12-17"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-mini-realtime-preview-2024-12-17"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-mini-audio-preview-2024-12-17"; + E_OPENAI_MODEL["MODEL_O1_2024_12_17"] = "o1-2024-12-17"; + E_OPENAI_MODEL["MODEL_O1"] = "o1"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW"] = "gpt-4o-mini-realtime-preview"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW"] = "gpt-4o-mini-audio-preview"; + E_OPENAI_MODEL["MODEL_O3_MINI"] = "o3-mini"; + E_OPENAI_MODEL["MODEL_O3_MINI_2025_01_31"] = "o3-mini-2025-01-31"; + E_OPENAI_MODEL["MODEL_GPT_4O_2024_11_20"] = "gpt-4o-2024-11-20"; + E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW"] = "gpt-4.5-preview"; + E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW_2025_02_27"] = "gpt-4.5-preview-2025-02-27"; + E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-search-preview-2025-03-11"; + E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW"] = "gpt-4o-search-preview"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-mini-search-preview-2025-03-11"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW"] = "gpt-4o-mini-search-preview"; + E_OPENAI_MODEL["MODEL_GPT_4O_TRANSCRIBE"] = "gpt-4o-transcribe"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TRANSCRIBE"] = "gpt-4o-mini-transcribe"; + E_OPENAI_MODEL["MODEL_O1_PRO_2025_03_19"] = "o1-pro-2025-03-19"; + E_OPENAI_MODEL["MODEL_O1_PRO"] = "o1-pro"; + E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TTS"] = "gpt-4o-mini-tts"; + E_OPENAI_MODEL["MODEL_O4_MINI_2025_04_16"] = "o4-mini-2025-04-16"; + E_OPENAI_MODEL["MODEL_O4_MINI"] = "o4-mini"; + E_OPENAI_MODEL["MODEL_GPT_4_1_2025_04_14"] = "gpt-4.1-2025-04-14"; + E_OPENAI_MODEL["MODEL_GPT_4_1"] = "gpt-4.1"; + E_OPENAI_MODEL["MODEL_GPT_4_1_MINI_2025_04_14"] = "gpt-4.1-mini-2025-04-14"; + E_OPENAI_MODEL["MODEL_GPT_4_1_MINI"] = "gpt-4.1-mini"; + E_OPENAI_MODEL["MODEL_GPT_4_1_NANO_2025_04_14"] = "gpt-4.1-nano-2025-04-14"; + E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_16K"] = "gpt-3.5-turbo-16k"; + E_OPENAI_MODEL["MODEL_TTS_1"] = "tts-1"; + E_OPENAI_MODEL["MODEL_WHISPER_1"] = "whisper-1"; + E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_ADA_002"] = "text-embedding-ada-002"; })(E_OPENAI_MODEL || (E_OPENAI_MODEL = {})); -//# 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\ No newline at end of file diff --git a/packages/kbot/dist-in/models/cache/openrouter-models-free.d.ts b/packages/kbot/dist-in/models/cache/openrouter-models-free.d.ts index 95424ea7..a76d3dca 100644 --- a/packages/kbot/dist-in/models/cache/openrouter-models-free.d.ts +++ b/packages/kbot/dist-in/models/cache/openrouter-models-free.d.ts @@ -1,4 +1,7 @@ export declare enum E_OPENROUTER_MODEL_FREE { + MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE = "deepseek/deepseek-r1-0528-qwen3-8b:free", + MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_FREE = "deepseek/deepseek-r1-0528:free", + MODEL_FREE_SARVAMAI_SARVAM_M_FREE = "sarvamai/sarvam-m:free", MODEL_FREE_MISTRALAI_DEVSTRAL_SMALL_FREE = "mistralai/devstral-small:free", MODEL_FREE_GOOGLE_GEMMA_3N_E4B_IT_FREE = "google/gemma-3n-e4b-it:free", MODEL_FREE_META_LLAMA_LLAMA_3_3_8B_INSTRUCT_FREE = "meta-llama/llama-3.3-8b-instruct:free", diff --git a/packages/kbot/dist-in/models/cache/openrouter-models-free.js b/packages/kbot/dist-in/models/cache/openrouter-models-free.js index 890c67ba..a90601a4 100644 --- a/packages/kbot/dist-in/models/cache/openrouter-models-free.js +++ b/packages/kbot/dist-in/models/cache/openrouter-models-free.js @@ -1,5 +1,8 @@ export var E_OPENROUTER_MODEL_FREE; (function (E_OPENROUTER_MODEL_FREE) { + E_OPENROUTER_MODEL_FREE["MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE"] = "deepseek/deepseek-r1-0528-qwen3-8b:free"; + E_OPENROUTER_MODEL_FREE["MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_FREE"] = "deepseek/deepseek-r1-0528:free"; + E_OPENROUTER_MODEL_FREE["MODEL_FREE_SARVAMAI_SARVAM_M_FREE"] = "sarvamai/sarvam-m:free"; E_OPENROUTER_MODEL_FREE["MODEL_FREE_MISTRALAI_DEVSTRAL_SMALL_FREE"] = "mistralai/devstral-small:free"; E_OPENROUTER_MODEL_FREE["MODEL_FREE_GOOGLE_GEMMA_3N_E4B_IT_FREE"] = "google/gemma-3n-e4b-it:free"; E_OPENROUTER_MODEL_FREE["MODEL_FREE_META_LLAMA_LLAMA_3_3_8B_INSTRUCT_FREE"] = "meta-llama/llama-3.3-8b-instruct:free"; @@ -67,4 +70,4 @@ export var E_OPENROUTER_MODEL_FREE; E_OPENROUTER_MODEL_FREE["MODEL_FREE_GOOGLE_GEMMA_2_9B_IT_FREE"] = "google/gemma-2-9b-it:free"; E_OPENROUTER_MODEL_FREE["MODEL_FREE_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE"] = "mistralai/mistral-7b-instruct:free"; })(E_OPENROUTER_MODEL_FREE || (E_OPENROUTER_MODEL_FREE = {})); -//# 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\ No newline at end of file diff --git a/packages/kbot/dist-in/models/cache/openrouter-models.d.ts b/packages/kbot/dist-in/models/cache/openrouter-models.d.ts index 1c0b2063..115cb3d7 100644 --- a/packages/kbot/dist-in/models/cache/openrouter-models.d.ts +++ b/packages/kbot/dist-in/models/cache/openrouter-models.d.ts @@ -1,4 +1,13 @@ export declare enum E_OPENROUTER_MODEL { + MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_7B = "deepseek/deepseek-r1-distill-qwen-7b", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE = "deepseek/deepseek-r1-0528-qwen3-8b:free", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B = "deepseek/deepseek-r1-0528-qwen3-8b", + MODEL_GOOGLE_GEMMA_2B_IT = "google/gemma-2b-it", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_FREE = "deepseek/deepseek-r1-0528:free", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528 = "deepseek/deepseek-r1-0528", + MODEL_SARVAMAI_SARVAM_M_FREE = "sarvamai/sarvam-m:free", + MODEL_SARVAMAI_SARVAM_M = "sarvamai/sarvam-m", + MODEL_THEDRUMMER_VALKYRIE_49B_V1 = "thedrummer/valkyrie-49b-v1", MODEL_ANTHROPIC_CLAUDE_OPUS_4 = "anthropic/claude-opus-4", MODEL_ANTHROPIC_CLAUDE_SONNET_4 = "anthropic/claude-sonnet-4", MODEL_MISTRALAI_DEVSTRAL_SMALL_FREE = "mistralai/devstral-small:free", @@ -50,7 +59,6 @@ export declare enum E_OPENROUTER_MODEL { MODEL_OPENAI_O3 = "openai/o3", MODEL_OPENAI_O4_MINI = "openai/o4-mini", MODEL_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE = "shisa-ai/shisa-v2-llama3.3-70b:free", - MODEL_QWEN_QWEN2_5_CODER_7B_INSTRUCT = "qwen/qwen2.5-coder-7b-instruct", MODEL_OPENAI_GPT_4_1 = "openai/gpt-4.1", MODEL_OPENAI_GPT_4_1_MINI = "openai/gpt-4.1-mini", MODEL_OPENAI_GPT_4_1_NANO = "openai/gpt-4.1-nano", @@ -64,6 +72,7 @@ export declare enum E_OPENROUTER_MODEL { MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE = "nvidia/llama-3.3-nemotron-super-49b-v1:free", MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1 = "nvidia/llama-3.3-nemotron-super-49b-v1", MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free", + MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1 = "nvidia/llama-3.1-nemotron-ultra-253b-v1", 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", @@ -110,8 +119,8 @@ export declare enum E_OPENROUTER_MODEL { 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_ANTHROPIC_CLAUDE_3_7_SONNET_THINKING = "anthropic/claude-3.7-sonnet:thinking", 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", @@ -232,7 +241,6 @@ export declare enum E_OPENROUTER_MODEL { 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", @@ -254,14 +262,11 @@ export declare enum E_OPENROUTER_MODEL { MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct", 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_DEEPSEEK_DEEPSEEK_CODER = "deepseek/deepseek-coder", 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_META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", - MODEL_ALLENAI_OLMO_7B_INSTRUCT = "allenai/olmo-7b-instruct", - 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", diff --git a/packages/kbot/dist-in/models/cache/openrouter-models.js b/packages/kbot/dist-in/models/cache/openrouter-models.js index fbcaf929..c7db604f 100644 --- a/packages/kbot/dist-in/models/cache/openrouter-models.js +++ b/packages/kbot/dist-in/models/cache/openrouter-models.js @@ -1,5 +1,14 @@ export var E_OPENROUTER_MODEL; (function (E_OPENROUTER_MODEL) { + E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_7B"] = "deepseek/deepseek-r1-distill-qwen-7b"; + E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE"] = "deepseek/deepseek-r1-0528-qwen3-8b:free"; + E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B"] = "deepseek/deepseek-r1-0528-qwen3-8b"; + E_OPENROUTER_MODEL["MODEL_GOOGLE_GEMMA_2B_IT"] = "google/gemma-2b-it"; + E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_R1_0528_FREE"] = "deepseek/deepseek-r1-0528:free"; + E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_R1_0528"] = "deepseek/deepseek-r1-0528"; + E_OPENROUTER_MODEL["MODEL_SARVAMAI_SARVAM_M_FREE"] = "sarvamai/sarvam-m:free"; + E_OPENROUTER_MODEL["MODEL_SARVAMAI_SARVAM_M"] = "sarvamai/sarvam-m"; + E_OPENROUTER_MODEL["MODEL_THEDRUMMER_VALKYRIE_49B_V1"] = "thedrummer/valkyrie-49b-v1"; E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_OPUS_4"] = "anthropic/claude-opus-4"; E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_SONNET_4"] = "anthropic/claude-sonnet-4"; E_OPENROUTER_MODEL["MODEL_MISTRALAI_DEVSTRAL_SMALL_FREE"] = "mistralai/devstral-small:free"; @@ -51,7 +60,6 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_OPENAI_O3"] = "openai/o3"; E_OPENROUTER_MODEL["MODEL_OPENAI_O4_MINI"] = "openai/o4-mini"; E_OPENROUTER_MODEL["MODEL_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE"] = "shisa-ai/shisa-v2-llama3.3-70b:free"; - E_OPENROUTER_MODEL["MODEL_QWEN_QWEN2_5_CODER_7B_INSTRUCT"] = "qwen/qwen2.5-coder-7b-instruct"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4_1"] = "openai/gpt-4.1"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4_1_MINI"] = "openai/gpt-4.1-mini"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4_1_NANO"] = "openai/gpt-4.1-nano"; @@ -65,6 +73,7 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE"] = "nvidia/llama-3.3-nemotron-super-49b-v1:free"; E_OPENROUTER_MODEL["MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1"] = "nvidia/llama-3.3-nemotron-super-49b-v1"; E_OPENROUTER_MODEL["MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE"] = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free"; + E_OPENROUTER_MODEL["MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1"] = "nvidia/llama-3.1-nemotron-ultra-253b-v1"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_4_MAVERICK_FREE"] = "meta-llama/llama-4-maverick:free"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_4_MAVERICK"] = "meta-llama/llama-4-maverick"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_4_SCOUT_FREE"] = "meta-llama/llama-4-scout:free"; @@ -111,8 +120,8 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4_5_PREVIEW"] = "openai/gpt-4.5-preview"; E_OPENROUTER_MODEL["MODEL_GOOGLE_GEMINI_2_0_FLASH_LITE_001"] = "google/gemini-2.0-flash-lite-001"; E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_3_7_SONNET"] = "anthropic/claude-3.7-sonnet"; - E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_3_7_SONNET_THINKING"] = "anthropic/claude-3.7-sonnet:thinking"; E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_3_7_SONNET_BETA"] = "anthropic/claude-3.7-sonnet:beta"; + E_OPENROUTER_MODEL["MODEL_ANTHROPIC_CLAUDE_3_7_SONNET_THINKING"] = "anthropic/claude-3.7-sonnet:thinking"; E_OPENROUTER_MODEL["MODEL_PERPLEXITY_R1_1776"] = "perplexity/r1-1776"; E_OPENROUTER_MODEL["MODEL_MISTRALAI_MISTRAL_SABA"] = "mistralai/mistral-saba"; E_OPENROUTER_MODEL["MODEL_COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE"] = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free"; @@ -233,7 +242,6 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT"] = "meta-llama/llama-3.1-8b-instruct"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT"] = "meta-llama/llama-3.1-405b-instruct"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_3_1_70B_INSTRUCT"] = "meta-llama/llama-3.1-70b-instruct"; - E_OPENROUTER_MODEL["MODEL_MISTRALAI_CODESTRAL_MAMBA"] = "mistralai/codestral-mamba"; E_OPENROUTER_MODEL["MODEL_MISTRALAI_MISTRAL_NEMO_FREE"] = "mistralai/mistral-nemo:free"; E_OPENROUTER_MODEL["MODEL_MISTRALAI_MISTRAL_NEMO"] = "mistralai/mistral-nemo"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4O_MINI"] = "openai/gpt-4o-mini"; @@ -255,14 +263,11 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT"] = "microsoft/phi-3-mini-128k-instruct"; E_OPENROUTER_MODEL["MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT"] = "microsoft/phi-3-medium-128k-instruct"; E_OPENROUTER_MODEL["MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_70B"] = "neversleep/llama-3-lumimaid-70b"; - E_OPENROUTER_MODEL["MODEL_DEEPSEEK_DEEPSEEK_CODER"] = "deepseek/deepseek-coder"; E_OPENROUTER_MODEL["MODEL_GOOGLE_GEMINI_FLASH_1_5"] = "google/gemini-flash-1.5"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4O"] = "openai/gpt-4o"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4O_EXTENDED"] = "openai/gpt-4o:extended"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_GUARD_2_8B"] = "meta-llama/llama-guard-2-8b"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4O_2024_05_13"] = "openai/gpt-4o-2024-05-13"; - E_OPENROUTER_MODEL["MODEL_ALLENAI_OLMO_7B_INSTRUCT"] = "allenai/olmo-7b-instruct"; - E_OPENROUTER_MODEL["MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_8B_EXTENDED"] = "neversleep/llama-3-lumimaid-8b:extended"; E_OPENROUTER_MODEL["MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_8B"] = "neversleep/llama-3-lumimaid-8b"; E_OPENROUTER_MODEL["MODEL_SAO10K_FIMBULVETR_11B_V2"] = "sao10k/fimbulvetr-11b-v2"; E_OPENROUTER_MODEL["MODEL_META_LLAMA_LLAMA_3_8B_INSTRUCT"] = "meta-llama/llama-3-8b-instruct"; @@ -319,4 +324,4 @@ export var E_OPENROUTER_MODEL; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4"] = "openai/gpt-4"; E_OPENROUTER_MODEL["MODEL_OPENAI_GPT_4_0314"] = "openai/gpt-4-0314"; })(E_OPENROUTER_MODEL || (E_OPENROUTER_MODEL = {})); -//# 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\ No newline at end of file +//# 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\ No newline at end of file diff --git a/packages/kbot/dist-in/source.d.ts b/packages/kbot/dist-in/source.d.ts index 3b38b4ba..249125b1 100644 --- a/packages/kbot/dist-in/source.d.ts +++ b/packages/kbot/dist-in/source.d.ts @@ -18,7 +18,7 @@ export declare const images: (files: string[]) => ChatCompletionContentPartImage * Check if a string is a web URL */ export declare const isWebUrl: (str: string) => boolean; -export declare const glob: (projectPath: string, include?: string[]) => { +export declare const glob: (projectPath: string, include?: string[], exclude?: string[]) => { files: string[]; webUrls: Set; }; diff --git a/packages/kbot/dist-in/source.js b/packages/kbot/dist-in/source.js index 0ef64465..96fe43a6 100644 --- a/packages/kbot/dist-in/source.js +++ b/packages/kbot/dist-in/source.js @@ -58,7 +58,7 @@ export const images = (files) => { export const isWebUrl = (str) => { return /^https?:\/\//.test(str); }; -export const glob = (projectPath, include = []) => { +export const glob = (projectPath, include = [], exclude = []) => { if (!exists(projectPath)) { dir(projectPath); return { files: [], webUrls: new Set() }; @@ -66,7 +66,7 @@ export const glob = (projectPath, include = []) => { const filters = new Set(); const absolutePaths = new Set(); const webUrls = new Set(); - EXCLUDE_GLOB.forEach(pattern => filters.add(pattern)); + const ignorePatterns = new Set(EXCLUDE_GLOB); include.forEach(pattern => { // Check if the pattern is a web URL if (isWebUrl(pattern)) { @@ -85,10 +85,22 @@ export const glob = (projectPath, include = []) => { filters.add(pattern); } }); + // Process exclude patterns + exclude.forEach(pattern => { + if (isWebUrl(pattern)) { + // Web URLs are typically not "excluded" in a file glob sense, + // but if there's a use case, it needs clarification. + // For now, we'll assume web URLs in exclude are ignored for globbing. + return; + } + // Add all exclude patterns (absolute or relative) to ignorePatterns + // globSync handles absolute paths correctly in its `ignore` option when `cwd` is set. + ignorePatterns.add(pattern); + }); const globFiles = globSync([...filters], { cwd: projectPath, absolute: false, - ignore: EXCLUDE_GLOB + ignore: [...ignorePatterns] }); const allFiles = Array.from(new Set([ ...globFiles.map(file => path.join(projectPath, file)), @@ -98,7 +110,7 @@ export const glob = (projectPath, include = []) => { return { files, webUrls }; }; export async function get(projectPath, include = [], options) { - const { files, webUrls } = glob(projectPath, include); + const { files, webUrls } = glob(projectPath, include, options.exclude); // Process file contents const fileResults = files.map((fullPath) => { try { @@ -168,4 +180,4 @@ export async function vectorize(file, options) { throw error; } } -//# 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\ No newline at end of file +//# 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\ No newline at end of file diff --git a/packages/kbot/dist-in/src/models/cache/openai.ts b/packages/kbot/dist-in/src/models/cache/openai.ts index e2eaacb6..e3ad829e 100644 --- a/packages/kbot/dist-in/src/models/cache/openai.ts +++ b/packages/kbot/dist-in/src/models/cache/openai.ts @@ -1 +1 @@ -export const models = 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\ No newline at end of file +export const models = 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\ No newline at end of file diff --git a/packages/kbot/dist-in/src/models/cache/openrouter.ts b/packages/kbot/dist-in/src/models/cache/openrouter.ts index 27ed28f3..b30712a7 100644 --- a/packages/kbot/dist-in/src/models/cache/openrouter.ts +++ b/packages/kbot/dist-in/src/models/cache/openrouter.ts @@ -1 +1 @@ -export const models = [{"id":"anthropic/claude-opus-4","name":"Anthropic: Claude Opus 4","pricing":{"prompt":"0.000015","completion":"0.000075","request":"0","image":"0.024","web_search":"0","internal_reasoning":"0","input_cache_read":"0.0000015","input_cache_write":"0.00001875"},"created":1747931245,"top_provider":{"context_length":200000,"max_completion_tokens":32000,"is_moderated":true}},{"id":"anthropic/claude-sonnet-4","name":"Anthropic: Claude Sonnet 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\ No newline at end of file diff --git a/packages/kbot/dist-in/zod_types.d.ts b/packages/kbot/dist-in/zod_types.d.ts index 40ea41d0..0cf83ed9 100644 --- a/packages/kbot/dist-in/zod_types.d.ts +++ b/packages/kbot/dist-in/zod_types.d.ts @@ -21,6 +21,8 @@ export interface IKBotOptions { tools?: (string[] | string); /** Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json */ include?: string[] | undefined; + /** Comma separated glob patterns or paths, eg --exclude=src/*.tsx,src/*.ts --exclude=package.json */ + exclude?: string[] | undefined; /** Explicit API key to use */ api_key?: string | undefined; /** AI model to use for processing. Available models: @@ -82,9 +84,10 @@ export interface IKBotOptions { cohere/command-r-plus-04-2024 | paid cohere/command-r-plus-08-2024 | paid cohere/command-r7b-12-2024 | paid - deepseek/deepseek-coder | paid deepseek/deepseek-prover-v2 | paid deepseek/deepseek-prover-v2:free | free + deepseek/deepseek-r1-0528-qwen3-8b | paid + deepseek/deepseek-r1-0528-qwen3-8b:free | free deepseek/deepseek-r1-zero:free | free deepseek/deepseek-chat | paid deepseek/deepseek-chat:free | free @@ -93,6 +96,8 @@ export interface IKBotOptions { deepseek/deepseek-v3-base:free | free deepseek/deepseek-r1 | paid deepseek/deepseek-r1:free | free + deepseek/deepseek-r1-0528 | paid + deepseek/deepseek-r1-0528:free | free deepseek/deepseek-r1-distill-llama-70b | paid deepseek/deepseek-r1-distill-llama-70b:free | free deepseek/deepseek-r1-distill-llama-8b | paid @@ -101,6 +106,7 @@ export interface IKBotOptions { deepseek/deepseek-r1-distill-qwen-14b:free | free deepseek/deepseek-r1-distill-qwen-32b | paid deepseek/deepseek-r1-distill-qwen-32b:free | free + deepseek/deepseek-r1-distill-qwen-7b | paid cognitivecomputations/dolphin-mixtral-8x22b | paid cognitivecomputations/dolphin3.0-mistral-24b:free | free cognitivecomputations/dolphin3.0-r1-mistral-24b:free | free @@ -123,6 +129,7 @@ export interface IKBotOptions { google/gemini-2.5-pro-exp-03-25 | paid google/gemini-2.5-pro-preview | paid google/gemma-2-27b-it | paid + google/gemma-2b-it | paid google/gemma-2-9b-it | paid google/gemma-2-9b-it:free | free google/gemma-3-12b-it | paid @@ -189,7 +196,6 @@ export interface IKBotOptions { mistralai/mistral-small | paid mistralai/mistral-tiny | paid mistralai/codestral-2501 | paid - mistralai/codestral-mamba | paid mistralai/devstral-small | paid mistralai/devstral-small:free | free mistralai/ministral-3b | paid @@ -216,7 +222,6 @@ export interface IKBotOptions { 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 @@ -227,10 +232,10 @@ export interface IKBotOptions { 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-ultra-253b-v1 | paid nvidia/llama-3.1-nemotron-ultra-253b-v1:free | free nvidia/llama-3.3-nemotron-super-49b-v1 | paid nvidia/llama-3.3-nemotron-super-49b-v1:free | free - allenai/olmo-7b-instruct | paid open-r1/olympiccoder-32b:free | free openai/chatgpt-4o-latest | paid openai/codex-mini | paid @@ -289,7 +294,6 @@ export interface IKBotOptions { qwen/qwen-max | paid qwen/qwen-plus | paid qwen/qwen-turbo | paid - qwen/qwen2.5-coder-7b-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 @@ -319,15 +323,19 @@ export interface IKBotOptions { featherless/qwerky-72b:free | free rekaai/reka-flash-3:free | free undi95/remm-slerp-l2-13b | paid - thedrummer/rocinante-12b | paid sao10k/l3-lunaris-8b | paid sao10k/l3-euryale-70b | paid sao10k/l3.1-euryale-70b | paid sao10k/l3.3-euryale-70b | paid + sarvamai/sarvam-m | paid + sarvamai/sarvam-m:free | free shisa-ai/shisa-v2-llama3.3-70b:free | free raifle/sorcererlm-8x22b | paid thedrummer/anubis-pro-105b-v1 | paid + thedrummer/rocinante-12b | paid thedrummer/skyfall-36b-v2 | paid + thedrummer/unslopnemo-12b | paid + thedrummer/valkyrie-49b-v1 | paid thudm/glm-4-32b | paid thudm/glm-4-32b:free | free thudm/glm-z1-32b | paid @@ -337,7 +345,6 @@ export interface IKBotOptions { undi95/toppy-m-7b | paid scb10x/llama3.1-typhoon2-70b-instruct | paid scb10x/llama3.1-typhoon2-8b-instruct | paid - thedrummer/unslopnemo-12b | paid microsoft/wizardlm-2-8x22b | paid x-ai/grok-2-1212 | paid x-ai/grok-2-vision-1212 | paid diff --git a/packages/kbot/schema.json b/packages/kbot/schema.json index 191cd17a..b73a7426 100644 --- a/packages/kbot/schema.json +++ b/packages/kbot/schema.json @@ -91,13 +91,20 @@ }, "description": "Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json" }, + "exclude": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Comma separated glob patterns or paths, eg --exclude=src/*.tsx,src/*.ts --exclude=package.json" + }, "api_key": { "type": "string", "description": "Explicit API key to use" }, "model": { "type": "string", - "description": "AI model to use for processing. Available models:\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m OpenRouter models:\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\n01-ai/yi-large | paid\naetherwiing/mn-starcannon-12b | paid\nagentica-org/deepcoder-14b-preview:free | free\nai21/jamba-1.6-large | paid\nai21/jamba-1.6-mini | paid\naion-labs/aion-1.0 | paid\naion-labs/aion-1.0-mini | paid\naion-labs/aion-rp-llama-3.1-8b | paid\nalfredpros/codellama-7b-instruct-solidity | paid\namazon/nova-lite-v1 | paid\namazon/nova-micro-v1 | paid\namazon/nova-pro-v1 | paid\nanthropic/claude-3-haiku | paid\nanthropic/claude-3-haiku:beta | paid\nanthropic/claude-3-opus | paid\nanthropic/claude-3-opus:beta | paid\nanthropic/claude-3-sonnet | paid\nanthropic/claude-3-sonnet:beta | paid\nanthropic/claude-3.5-haiku | paid\nanthropic/claude-3.5-haiku-20241022 | paid\nanthropic/claude-3.5-haiku-20241022:beta | paid\nanthropic/claude-3.5-haiku:beta | paid\nanthropic/claude-3.5-sonnet | paid\nanthropic/claude-3.5-sonnet-20240620 | paid\nanthropic/claude-3.5-sonnet-20240620:beta | paid\nanthropic/claude-3.5-sonnet:beta | paid\nanthropic/claude-3.7-sonnet | paid\nanthropic/claude-3.7-sonnet:beta | paid\nanthropic/claude-3.7-sonnet:thinking | paid\nanthropic/claude-opus-4 | paid\nanthropic/claude-sonnet-4 | paid\nanthropic/claude-2 | paid\nanthropic/claude-2:beta | paid\nanthropic/claude-2.0 | paid\nanthropic/claude-2.0:beta | paid\nanthropic/claude-2.1 | paid\nanthropic/claude-2.1:beta | paid\narcee-ai/arcee-blitz | paid\narcee-ai/caller-large | paid\narcee-ai/coder-large | paid\narcee-ai/maestro-reasoning | paid\narcee-ai/spotlight | paid\narcee-ai/virtuoso-large | paid\narcee-ai/virtuoso-medium-v2 | paid\narliai/qwq-32b-arliai-rpr-v1:free | free\nopenrouter/auto | paid\ncohere/command | paid\ncohere/command-a | paid\ncohere/command-r | paid\ncohere/command-r-03-2024 | paid\ncohere/command-r-08-2024 | paid\ncohere/command-r-plus | paid\ncohere/command-r-plus-04-2024 | paid\ncohere/command-r-plus-08-2024 | paid\ncohere/command-r7b-12-2024 | paid\ndeepseek/deepseek-coder | paid\ndeepseek/deepseek-prover-v2 | paid\ndeepseek/deepseek-prover-v2:free | free\ndeepseek/deepseek-r1-zero:free | free\ndeepseek/deepseek-chat | paid\ndeepseek/deepseek-chat:free | free\ndeepseek/deepseek-chat-v3-0324 | paid\ndeepseek/deepseek-chat-v3-0324:free | free\ndeepseek/deepseek-v3-base:free | free\ndeepseek/deepseek-r1 | paid\ndeepseek/deepseek-r1:free | free\ndeepseek/deepseek-r1-distill-llama-70b | paid\ndeepseek/deepseek-r1-distill-llama-70b:free | free\ndeepseek/deepseek-r1-distill-llama-8b | paid\ndeepseek/deepseek-r1-distill-qwen-1.5b | paid\ndeepseek/deepseek-r1-distill-qwen-14b | paid\ndeepseek/deepseek-r1-distill-qwen-14b:free | free\ndeepseek/deepseek-r1-distill-qwen-32b | paid\ndeepseek/deepseek-r1-distill-qwen-32b:free | free\ncognitivecomputations/dolphin-mixtral-8x22b | paid\ncognitivecomputations/dolphin3.0-mistral-24b:free | free\ncognitivecomputations/dolphin3.0-r1-mistral-24b:free | free\neleutherai/llemma_7b | paid\neva-unit-01/eva-llama-3.33-70b | paid\neva-unit-01/eva-qwen-2.5-32b | paid\neva-unit-01/eva-qwen-2.5-72b | paid\nsao10k/fimbulvetr-11b-v2 | paid\nalpindale/goliath-120b | paid\ngoogle/gemini-flash-1.5 | paid\ngoogle/gemini-flash-1.5-8b | paid\ngoogle/gemini-pro-1.5 | paid\ngoogle/gemini-2.0-flash-001 | paid\ngoogle/gemini-2.0-flash-exp:free | free\ngoogle/gemini-2.0-flash-lite-001 | paid\ngoogle/gemini-2.5-flash-preview | paid\ngoogle/gemini-2.5-flash-preview:thinking | paid\ngoogle/gemini-2.5-flash-preview-05-20 | paid\ngoogle/gemini-2.5-flash-preview-05-20:thinking | paid\ngoogle/gemini-2.5-pro-exp-03-25 | paid\ngoogle/gemini-2.5-pro-preview | paid\ngoogle/gemma-2-27b-it | paid\ngoogle/gemma-2-9b-it | paid\ngoogle/gemma-2-9b-it:free | free\ngoogle/gemma-3-12b-it | paid\ngoogle/gemma-3-12b-it:free | free\ngoogle/gemma-3-1b-it:free | free\ngoogle/gemma-3-27b-it | paid\ngoogle/gemma-3-27b-it:free | free\ngoogle/gemma-3-4b-it | paid\ngoogle/gemma-3-4b-it:free | free\ngoogle/gemma-3n-e4b-it:free | free\ninception/mercury-coder-small-beta | paid\ninfermatic/mn-inferor-12b | paid\ninflection/inflection-3-pi | paid\ninflection/inflection-3-productivity | paid\nliquid/lfm-3b | paid\nliquid/lfm-40b | paid\nliquid/lfm-7b | paid\nmeta-llama/llama-guard-3-8b | paid\nalpindale/magnum-72b | paid\nanthracite-org/magnum-v2-72b | paid\nanthracite-org/magnum-v4-72b | paid\nmancer/weaver | paid\nmeta-llama/llama-2-70b-chat | paid\nmeta-llama/llama-3-70b-instruct | paid\nmeta-llama/llama-3-8b-instruct | paid\nmeta-llama/llama-3.1-405b | paid\nmeta-llama/llama-3.1-405b:free | free\nmeta-llama/llama-3.1-405b-instruct | paid\nmeta-llama/llama-3.1-70b-instruct | paid\nmeta-llama/llama-3.1-8b-instruct | paid\nmeta-llama/llama-3.1-8b-instruct:free | free\nmeta-llama/llama-3.2-11b-vision-instruct | paid\nmeta-llama/llama-3.2-11b-vision-instruct:free | free\nmeta-llama/llama-3.2-1b-instruct | paid\nmeta-llama/llama-3.2-1b-instruct:free | free\nmeta-llama/llama-3.2-3b-instruct | paid\nmeta-llama/llama-3.2-3b-instruct:free | free\nmeta-llama/llama-3.2-90b-vision-instruct | paid\nmeta-llama/llama-3.3-70b-instruct | paid\nmeta-llama/llama-3.3-70b-instruct:free | free\nmeta-llama/llama-3.3-8b-instruct:free | free\nmeta-llama/llama-4-maverick | paid\nmeta-llama/llama-4-maverick:free | free\nmeta-llama/llama-4-scout | paid\nmeta-llama/llama-4-scout:free | free\nmeta-llama/llama-guard-4-12b | paid\nmeta-llama/llama-guard-2-8b | paid\nmicrosoft/mai-ds-r1:free | free\nmicrosoft/phi-4 | paid\nmicrosoft/phi-4-multimodal-instruct | paid\nmicrosoft/phi-4-reasoning:free | free\nmicrosoft/phi-4-reasoning-plus | paid\nmicrosoft/phi-4-reasoning-plus:free | free\nmicrosoft/phi-3-medium-128k-instruct | paid\nmicrosoft/phi-3-mini-128k-instruct | paid\nmicrosoft/phi-3.5-mini-128k-instruct | paid\nsophosympatheia/midnight-rose-70b | paid\nminimax/minimax-01 | paid\nmistralai/mistral-large | paid\nmistralai/mistral-large-2407 | paid\nmistralai/mistral-large-2411 | paid\nmistralai/mistral-medium | paid\nnothingiisreal/mn-celeste-12b | paid\nmistralai/mistral-small | paid\nmistralai/mistral-tiny | paid\nmistralai/codestral-2501 | paid\nmistralai/codestral-mamba | paid\nmistralai/devstral-small | paid\nmistralai/devstral-small:free | free\nmistralai/ministral-3b | paid\nmistralai/ministral-8b | paid\nmistralai/mistral-7b-instruct | paid\nmistralai/mistral-7b-instruct:free | free\nmistralai/mistral-7b-instruct-v0.1 | paid\nmistralai/mistral-7b-instruct-v0.2 | paid\nmistralai/mistral-7b-instruct-v0.3 | paid\nmistralai/mistral-medium-3 | paid\nmistralai/mistral-nemo | paid\nmistralai/mistral-nemo:free | free\nmistralai/mistral-small-24b-instruct-2501 | paid\nmistralai/mistral-small-24b-instruct-2501:free | free\nmistralai/mistral-small-3.1-24b-instruct | paid\nmistralai/mistral-small-3.1-24b-instruct:free | free\nmistralai/mixtral-8x22b-instruct | paid\nmistralai/mixtral-8x7b-instruct | paid\nmistralai/pixtral-12b | paid\nmistralai/pixtral-large-2411 | paid\nmistralai/mistral-saba | paid\nmoonshotai/kimi-vl-a3b-thinking:free | free\nmoonshotai/moonlight-16b-a3b-instruct:free | free\ngryphe/mythomax-l2-13b | paid\nneversleep/llama-3-lumimaid-70b | paid\nneversleep/llama-3-lumimaid-8b | paid\nneversleep/llama-3-lumimaid-8b:extended | paid\nneversleep/llama-3.1-lumimaid-70b | paid\nneversleep/llama-3.1-lumimaid-8b | paid\nneversleep/noromaid-20b | paid\nnousresearch/deephermes-3-llama-3-8b-preview:free | free\nnousresearch/deephermes-3-mistral-24b-preview:free | free\nnousresearch/nous-hermes-2-mixtral-8x7b-dpo | paid\nnousresearch/hermes-3-llama-3.1-405b | paid\nnousresearch/hermes-3-llama-3.1-70b | paid\nnousresearch/hermes-2-pro-llama-3-8b | paid\nnvidia/llama-3.1-nemotron-70b-instruct | paid\nnvidia/llama-3.1-nemotron-ultra-253b-v1:free | free\nnvidia/llama-3.3-nemotron-super-49b-v1 | paid\nnvidia/llama-3.3-nemotron-super-49b-v1:free | free\nallenai/olmo-7b-instruct | paid\nopen-r1/olympiccoder-32b:free | free\nopenai/chatgpt-4o-latest | paid\nopenai/codex-mini | paid\nopenai/gpt-3.5-turbo | paid\nopenai/gpt-3.5-turbo-0613 | paid\nopenai/gpt-3.5-turbo-16k | paid\nopenai/gpt-3.5-turbo-0125 | paid\nopenai/gpt-3.5-turbo-1106 | paid\nopenai/gpt-3.5-turbo-instruct | paid\nopenai/gpt-4 | paid\nopenai/gpt-4-0314 | paid\nopenai/gpt-4-32k | paid\nopenai/gpt-4-32k-0314 | paid\nopenai/gpt-4-turbo | paid\nopenai/gpt-4-1106-preview | paid\nopenai/gpt-4-turbo-preview | paid\nopenai/gpt-4.1 | paid\nopenai/gpt-4.1-mini | paid\nopenai/gpt-4.1-nano | paid\nopenai/gpt-4.5-preview | paid\nopenai/gpt-4o | paid\nopenai/gpt-4o-2024-05-13 | paid\nopenai/gpt-4o-2024-08-06 | paid\nopenai/gpt-4o-2024-11-20 | paid\nopenai/gpt-4o:extended | paid\nopenai/gpt-4o-search-preview | paid\nopenai/gpt-4o-mini | paid\nopenai/gpt-4o-mini-2024-07-18 | paid\nopenai/gpt-4o-mini-search-preview | paid\nopenai/o1 | paid\nopenai/o1-mini | paid\nopenai/o1-mini-2024-09-12 | paid\nopenai/o1-preview | paid\nopenai/o1-preview-2024-09-12 | paid\nopenai/o1-pro | paid\nopenai/o3 | paid\nopenai/o3-mini | paid\nopenai/o3-mini-high | paid\nopenai/o4-mini | paid\nopenai/o4-mini-high | paid\nopengvlab/internvl3-14b:free | free\nopengvlab/internvl3-2b:free | free\nall-hands/openhands-lm-32b-v0.1 | paid\nperplexity/llama-3.1-sonar-large-128k-online | paid\nperplexity/llama-3.1-sonar-small-128k-online | paid\nperplexity/r1-1776 | paid\nperplexity/sonar | paid\nperplexity/sonar-deep-research | paid\nperplexity/sonar-pro | paid\nperplexity/sonar-reasoning | paid\nperplexity/sonar-reasoning-pro | paid\npygmalionai/mythalion-13b | paid\nqwen/qwen-2-72b-instruct | paid\nqwen/qwen-vl-max | paid\nqwen/qwen-vl-plus | paid\nqwen/qwen-max | paid\nqwen/qwen-plus | paid\nqwen/qwen-turbo | paid\nqwen/qwen2.5-coder-7b-instruct | paid\nqwen/qwen2.5-vl-32b-instruct | paid\nqwen/qwen2.5-vl-32b-instruct:free | 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models:\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\nbabbage-002\nchatgpt-4o-latest\ncodex-mini-latest\ndall-e-2\ndall-e-3\ndavinci-002\ngpt-3.5-turbo\ngpt-3.5-turbo-0125\ngpt-3.5-turbo-1106\ngpt-3.5-turbo-16k\ngpt-3.5-turbo-instruct\ngpt-3.5-turbo-instruct-0914\ngpt-4\ngpt-4-0125-preview\ngpt-4-0613\ngpt-4-1106-preview\ngpt-4-turbo\ngpt-4-turbo-2024-04-09\ngpt-4-turbo-preview\ngpt-4.1\ngpt-4.1-2025-04-14\ngpt-4.1-mini\ngpt-4.1-mini-2025-04-14\ngpt-4.1-nano\ngpt-4.1-nano-2025-04-14\ngpt-4.5-preview\ngpt-4.5-preview-2025-02-27\ngpt-4o\ngpt-4o-2024-05-13\ngpt-4o-2024-08-06\ngpt-4o-2024-11-20\ngpt-4o-audio-preview\ngpt-4o-audio-preview-2024-10-01\ngpt-4o-audio-preview-2024-12-17\ngpt-4o-mini\ngpt-4o-mini-2024-07-18\ngpt-4o-mini-audio-preview\ngpt-4o-mini-audio-preview-2024-12-17\ngpt-4o-mini-realtime-preview\ngpt-4o-mini-realtime-preview-2024-12-17\ngpt-4o-mini-search-preview\ngpt-4o-mini-search-preview-2025-03-11\ngpt-4o-mini-transcribe\ngpt-4o-mini-tts\ngpt-4o-realtime-preview\ngpt-4o-realtime-preview-2024-10-01\ngpt-4o-realtime-preview-2024-12-17\ngpt-4o-search-preview\ngpt-4o-search-preview-2025-03-11\ngpt-4o-transcribe\ngpt-image-1\no1\no1-2024-12-17\no1-mini\no1-mini-2024-09-12\no1-preview\no1-preview-2024-09-12\no1-pro\no1-pro-2025-03-19\no3-mini\no3-mini-2025-01-31\no4-mini\no4-mini-2025-04-16\nomni-moderation-2024-09-26\nomni-moderation-latest\ntext-embedding-3-large\ntext-embedding-3-small\ntext-embedding-ada-002\ntts-1\ntts-1-1106\ntts-1-hd\ntts-1-hd-1106\nwhisper-1\n-----\n\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m Deepseek models:\u001b[22m\u001b[39m\n\u001b[35m\u001b[1m\u001b[22m\u001b[39m\ndeepseek-chat\ndeepseek-reasoner\n-----\n", "ui:title": "Model" }, "router": { diff --git a/packages/kbot/src/commands/run.ts b/packages/kbot/src/commands/run.ts index 9e5f8aa3..0f4af6d0 100644 --- a/packages/kbot/src/commands/run.ts +++ b/packages/kbot/src/commands/run.ts @@ -69,6 +69,7 @@ export const complete_options = async (opts: IKBotTask): Promise { @@ -146,7 +145,6 @@ Original Content: return { ...f, role: 'user' } }) messages = [...messages as Array, ...files] - return { messages, files } } @@ -332,6 +330,22 @@ export const run = async (opts: IKBotTask): Promise => { } else { opts.include = [] } + + // Process opts.exclude similarly to opts.include + if (opts.exclude) { + if (isString(opts.exclude)) { + opts.exclude = [opts.exclude] + } + if (isArray(opts.exclude)) { + const specialPatterns = opts.exclude.filter((path: string) => hasMagic(path) || isWebUrl(path)); + const normalPaths = opts.exclude.filter((path: string) => !hasMagic(path) && !isWebUrl(path)); + const processedPaths = flattenArrays(normalPaths.map(extractPaths)); + opts.exclude = [...specialPatterns, ...processedPaths]; + } + } else { + opts.exclude = [] + } + if (opts.each) { let items: string[] = [] if (isArray(opts.each)) { diff --git a/packages/kbot/src/models/cache/openai-models.ts b/packages/kbot/src/models/cache/openai-models.ts index 2a4fe33a..5046f529 100644 --- a/packages/kbot/src/models/cache/openai-models.ts +++ b/packages/kbot/src/models/cache/openai-models.ts @@ -1,75 +1,77 @@ 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_GPT_4_1106_PREVIEW = "gpt-4-1106-preview", + MODEL_GPT_4_0613 = "gpt-4-0613", + MODEL_GPT_4 = "gpt-4", + MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo", + MODEL_GPT_4O_AUDIO_PREVIEW_2025_06_03 = "gpt-4o-audio-preview-2025-06-03", + MODEL_GPT_4_1_NANO = "gpt-4.1-nano", + MODEL_GPT_IMAGE_1 = "gpt-image-1", + MODEL_CODEX_MINI_LATEST = "codex-mini-latest", + MODEL_GPT_4O_REALTIME_PREVIEW_2025_06_03 = "gpt-4o-realtime-preview-2025-06-03", + MODEL_DAVINCI_002 = "davinci-002", + MODEL_BABBAGE_002 = "babbage-002", + MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", + MODEL_GPT_3_5_TURBO_INSTRUCT_0914 = "gpt-3.5-turbo-instruct-0914", 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_4_TURBO_PREVIEW = "gpt-4-turbo-preview", - MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", - MODEL_BABBAGE_002 = "babbage-002", - MODEL_GPT_4 = "gpt-4", - MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002", - MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", - MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", - 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_4_1_NANO = "gpt-4.1-nano", - 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_1_NANO_2025_04_14 = "gpt-4.1-nano-2025-04-14", - MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", - MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", - MODEL_DAVINCI_002 = "davinci-002", + MODEL_GPT_4_1106_PREVIEW = "gpt-4-1106-preview", MODEL_GPT_3_5_TURBO_1106 = "gpt-3.5-turbo-1106", - MODEL_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", - MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct", - MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo", - MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31", - MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", - MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview", - MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", - MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", - MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", - MODEL_O1_2024_12_17 = "o1-2024-12-17", - MODEL_O1 = "o1", - MODEL_GPT_4_0613 = "gpt-4-0613", - MODEL_O1_MINI = "o1-mini", - MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts", - MODEL_O1_PRO = "o1-pro", - MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", - MODEL_GPT_4_5_PREVIEW = "gpt-4.5-preview", - MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19", - 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_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", - MODEL_GPT_IMAGE_1 = "gpt-image-1", - MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12", MODEL_TTS_1_HD = "tts-1-hd", - MODEL_GPT_4O = "gpt-4o", + MODEL_TTS_1_1106 = "tts-1-1106", MODEL_TTS_1_HD_1106 = "tts-1-hd-1106", - 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_GPT_4_1_MINI = "gpt-4.1-mini", - MODEL_GPT_4O_MINI = "gpt-4o-mini", - MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", + MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small", + MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large", + MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview", + MODEL_GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview", MODEL_GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125", MODEL_GPT_4_TURBO = "gpt-4-turbo", - MODEL_TTS_1 = "tts-1", MODEL_GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09", - MODEL_TTS_1_1106 = "tts-1-1106", - MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", - MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", - MODEL_GPT_4_1_MINI_2025_04_14 = "gpt-4.1-mini-2025-04-14", - MODEL_O3_MINI = "o3-mini", - MODEL_GPT_4_1 = "gpt-4.1", - MODEL_WHISPER_1 = "whisper-1", - MODEL_GPT_4_1_2025_04_14 = "gpt-4.1-2025-04-14", - MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest", - MODEL_O4_MINI = "o4-mini", - MODEL_O4_MINI_2025_04_16 = "o4-mini-2025-04-16", - MODEL_CODEX_MINI_LATEST = "codex-mini-latest", + MODEL_GPT_4O = "gpt-4o", + MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13", + MODEL_GPT_4O_MINI_2024_07_18 = "gpt-4o-mini-2024-07-18", + MODEL_GPT_4O_MINI = "gpt-4o-mini", + MODEL_GPT_4O_2024_08_06 = "gpt-4o-2024-08-06", + MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest", MODEL_O1_PREVIEW_2024_09_12 = "o1-preview-2024-09-12", - MODEL_O1_PREVIEW = "o1-preview" + MODEL_O1_PREVIEW = "o1-preview", + MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12", + MODEL_O1_MINI = "o1-mini", + MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01", + MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01 = "gpt-4o-audio-preview-2024-10-01", + MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview", + MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview", + MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest", + MODEL_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26", + 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_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-mini-realtime-preview-2024-12-17", + MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17", + MODEL_O1_2024_12_17 = "o1-2024-12-17", + MODEL_O1 = "o1", + MODEL_GPT_4O_MINI_REALTIME_PREVIEW = "gpt-4o-mini-realtime-preview", + MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview", + MODEL_O3_MINI = "o3-mini", + MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31", + MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20", + 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_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview", + MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11", + MODEL_GPT_4O_MINI_SEARCH_PREVIEW = "gpt-4o-mini-search-preview", + MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe", + MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe", + MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19", + MODEL_O1_PRO = "o1-pro", + MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts", + MODEL_O4_MINI_2025_04_16 = "o4-mini-2025-04-16", + MODEL_O4_MINI = "o4-mini", + MODEL_GPT_4_1_2025_04_14 = "gpt-4.1-2025-04-14", + MODEL_GPT_4_1 = "gpt-4.1", + MODEL_GPT_4_1_MINI_2025_04_14 = "gpt-4.1-mini-2025-04-14", + MODEL_GPT_4_1_MINI = "gpt-4.1-mini", + MODEL_GPT_4_1_NANO_2025_04_14 = "gpt-4.1-nano-2025-04-14", + MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k", + MODEL_TTS_1 = "tts-1", + MODEL_WHISPER_1 = "whisper-1", + MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002" } \ No newline at end of file diff --git a/packages/kbot/src/models/cache/openrouter-models-free.ts b/packages/kbot/src/models/cache/openrouter-models-free.ts index 7ef0cdf8..38fc0ba3 100644 --- a/packages/kbot/src/models/cache/openrouter-models-free.ts +++ b/packages/kbot/src/models/cache/openrouter-models-free.ts @@ -1,4 +1,7 @@ export enum E_OPENROUTER_MODEL_FREE { + MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE = "deepseek/deepseek-r1-0528-qwen3-8b:free", + MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_0528_FREE = "deepseek/deepseek-r1-0528:free", + MODEL_FREE_SARVAMAI_SARVAM_M_FREE = "sarvamai/sarvam-m:free", MODEL_FREE_MISTRALAI_DEVSTRAL_SMALL_FREE = "mistralai/devstral-small:free", MODEL_FREE_GOOGLE_GEMMA_3N_E4B_IT_FREE = "google/gemma-3n-e4b-it:free", MODEL_FREE_META_LLAMA_LLAMA_3_3_8B_INSTRUCT_FREE = "meta-llama/llama-3.3-8b-instruct:free", diff --git a/packages/kbot/src/models/cache/openrouter-models.ts b/packages/kbot/src/models/cache/openrouter-models.ts index c15fb4f2..fe3ecdf9 100644 --- a/packages/kbot/src/models/cache/openrouter-models.ts +++ b/packages/kbot/src/models/cache/openrouter-models.ts @@ -1,4 +1,13 @@ export enum E_OPENROUTER_MODEL { + MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_7B = "deepseek/deepseek-r1-distill-qwen-7b", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B_FREE = "deepseek/deepseek-r1-0528-qwen3-8b:free", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_QWEN3_8B = "deepseek/deepseek-r1-0528-qwen3-8b", + MODEL_GOOGLE_GEMMA_2B_IT = "google/gemma-2b-it", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528_FREE = "deepseek/deepseek-r1-0528:free", + MODEL_DEEPSEEK_DEEPSEEK_R1_0528 = "deepseek/deepseek-r1-0528", + MODEL_SARVAMAI_SARVAM_M_FREE = "sarvamai/sarvam-m:free", + MODEL_SARVAMAI_SARVAM_M = "sarvamai/sarvam-m", + MODEL_THEDRUMMER_VALKYRIE_49B_V1 = "thedrummer/valkyrie-49b-v1", MODEL_ANTHROPIC_CLAUDE_OPUS_4 = "anthropic/claude-opus-4", MODEL_ANTHROPIC_CLAUDE_SONNET_4 = "anthropic/claude-sonnet-4", MODEL_MISTRALAI_DEVSTRAL_SMALL_FREE = "mistralai/devstral-small:free", @@ -50,7 +59,6 @@ export enum E_OPENROUTER_MODEL { MODEL_OPENAI_O3 = "openai/o3", MODEL_OPENAI_O4_MINI = "openai/o4-mini", MODEL_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE = "shisa-ai/shisa-v2-llama3.3-70b:free", - MODEL_QWEN_QWEN2_5_CODER_7B_INSTRUCT = "qwen/qwen2.5-coder-7b-instruct", MODEL_OPENAI_GPT_4_1 = "openai/gpt-4.1", MODEL_OPENAI_GPT_4_1_MINI = "openai/gpt-4.1-mini", MODEL_OPENAI_GPT_4_1_NANO = "openai/gpt-4.1-nano", @@ -64,6 +72,7 @@ export enum E_OPENROUTER_MODEL { MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE = "nvidia/llama-3.3-nemotron-super-49b-v1:free", MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1 = "nvidia/llama-3.3-nemotron-super-49b-v1", MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free", + MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1 = "nvidia/llama-3.1-nemotron-ultra-253b-v1", 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", @@ -110,8 +119,8 @@ export enum E_OPENROUTER_MODEL { 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_ANTHROPIC_CLAUDE_3_7_SONNET_THINKING = "anthropic/claude-3.7-sonnet:thinking", 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", @@ -232,7 +241,6 @@ export enum E_OPENROUTER_MODEL { 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", @@ -254,14 +262,11 @@ export enum E_OPENROUTER_MODEL { MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct", 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_DEEPSEEK_DEEPSEEK_CODER = "deepseek/deepseek-coder", 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_META_LLAMA_LLAMA_GUARD_2_8B = "meta-llama/llama-guard-2-8b", MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", - MODEL_ALLENAI_OLMO_7B_INSTRUCT = "allenai/olmo-7b-instruct", - 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", diff --git a/packages/kbot/src/source.ts b/packages/kbot/src/source.ts index 42f6080a..779f82c0 100644 --- a/packages/kbot/src/source.ts +++ b/packages/kbot/src/source.ts @@ -73,7 +73,8 @@ export const isWebUrl = (str: string): boolean => { export const glob = ( projectPath: string, - include: string[] = [] + include: string[] = [], + exclude: string[] = [] ): { files: string[], webUrls: Set } => { if (!exists(projectPath)) { dir(projectPath) @@ -83,8 +84,7 @@ export const glob = ( const filters = new Set() const absolutePaths = new Set() const webUrls = new Set() - - EXCLUDE_GLOB.forEach(pattern => filters.add(pattern)) + const ignorePatterns = new Set(EXCLUDE_GLOB) include.forEach(pattern => { // Check if the pattern is a web URL @@ -104,10 +104,23 @@ export const glob = ( } }) + // Process exclude patterns + exclude.forEach(pattern => { + if (isWebUrl(pattern)) { + // Web URLs are typically not "excluded" in a file glob sense, + // but if there's a use case, it needs clarification. + // For now, we'll assume web URLs in exclude are ignored for globbing. + return; + } + // Add all exclude patterns (absolute or relative) to ignorePatterns + // globSync handles absolute paths correctly in its `ignore` option when `cwd` is set. + ignorePatterns.add(pattern); + }); + const globFiles = globSync([...filters], { cwd: projectPath, absolute: false, - ignore: EXCLUDE_GLOB + ignore: [...ignorePatterns] }) const allFiles = Array.from(new Set([ @@ -126,7 +139,7 @@ export async function get( include: string[] = [], options: IKBotTask ): Promise> { - const { files, webUrls } = glob(projectPath, include) + const { files, webUrls } = glob(projectPath, include, options.exclude) // Process file contents const fileResults = files.map((fullPath) => { diff --git a/packages/kbot/src/zod_schema.ts b/packages/kbot/src/zod_schema.ts index 2afd3be4..17f4e94a 100644 --- a/packages/kbot/src/zod_schema.ts +++ b/packages/kbot/src/zod_schema.ts @@ -129,6 +129,12 @@ export const OptionsSchema = (opts?: any): any => { .optional() .describe('Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json') ) + .add( + 'exclude', + z.array(z.string()) + .optional() + .describe('Comma separated glob patterns or paths, eg --exclude=src/*.tsx,src/*.ts --exclude=package.json') + ) .add( 'api_key', z.string() diff --git a/packages/kbot/src/zod_types.ts b/packages/kbot/src/zod_types.ts index 04b95e88..f3e5cb72 100644 --- a/packages/kbot/src/zod_types.ts +++ b/packages/kbot/src/zod_types.ts @@ -21,6 +21,8 @@ export interface IKBotOptions { tools?: (string[] | string); /** Comma separated glob patterns or paths, eg --include=src/*.tsx,src/*.ts --include=package.json */ include?: string[] | undefined; + /** Comma separated glob patterns or paths, eg --exclude=src/*.tsx,src/*.ts --exclude=package.json */ + exclude?: string[] | undefined; /** Explicit API key to use */ api_key?: string | undefined; /** AI model to use for processing. Available models: @@ -82,9 +84,10 @@ export interface IKBotOptions { cohere/command-r-plus-04-2024 | paid cohere/command-r-plus-08-2024 | paid cohere/command-r7b-12-2024 | paid - deepseek/deepseek-coder | paid deepseek/deepseek-prover-v2 | paid deepseek/deepseek-prover-v2:free | free + deepseek/deepseek-r1-0528-qwen3-8b | paid + deepseek/deepseek-r1-0528-qwen3-8b:free | free deepseek/deepseek-r1-zero:free | free deepseek/deepseek-chat | paid deepseek/deepseek-chat:free | free @@ -93,6 +96,8 @@ export interface IKBotOptions { deepseek/deepseek-v3-base:free | free deepseek/deepseek-r1 | paid deepseek/deepseek-r1:free | free + deepseek/deepseek-r1-0528 | paid + deepseek/deepseek-r1-0528:free | free deepseek/deepseek-r1-distill-llama-70b | paid deepseek/deepseek-r1-distill-llama-70b:free | free deepseek/deepseek-r1-distill-llama-8b | paid @@ -101,6 +106,7 @@ export interface IKBotOptions { deepseek/deepseek-r1-distill-qwen-14b:free | free deepseek/deepseek-r1-distill-qwen-32b | paid deepseek/deepseek-r1-distill-qwen-32b:free | free + deepseek/deepseek-r1-distill-qwen-7b | paid cognitivecomputations/dolphin-mixtral-8x22b | paid cognitivecomputations/dolphin3.0-mistral-24b:free | free cognitivecomputations/dolphin3.0-r1-mistral-24b:free | free @@ -123,6 +129,7 @@ export interface IKBotOptions { google/gemini-2.5-pro-exp-03-25 | paid google/gemini-2.5-pro-preview | paid google/gemma-2-27b-it | paid + google/gemma-2b-it | paid google/gemma-2-9b-it | paid google/gemma-2-9b-it:free | free google/gemma-3-12b-it | paid @@ -189,7 +196,6 @@ export interface IKBotOptions { mistralai/mistral-small | paid mistralai/mistral-tiny | paid mistralai/codestral-2501 | paid - mistralai/codestral-mamba | paid mistralai/devstral-small | paid mistralai/devstral-small:free | free mistralai/ministral-3b | paid @@ -216,7 +222,6 @@ export interface IKBotOptions { 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 @@ -227,10 +232,10 @@ export interface IKBotOptions { 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-ultra-253b-v1 | paid nvidia/llama-3.1-nemotron-ultra-253b-v1:free | free nvidia/llama-3.3-nemotron-super-49b-v1 | paid nvidia/llama-3.3-nemotron-super-49b-v1:free | free - allenai/olmo-7b-instruct | paid open-r1/olympiccoder-32b:free | free openai/chatgpt-4o-latest | paid openai/codex-mini | paid @@ -289,7 +294,6 @@ export interface IKBotOptions { qwen/qwen-max | paid qwen/qwen-plus | paid qwen/qwen-turbo | paid - qwen/qwen2.5-coder-7b-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 @@ -319,15 +323,19 @@ export interface IKBotOptions { featherless/qwerky-72b:free | free rekaai/reka-flash-3:free | free undi95/remm-slerp-l2-13b | paid - thedrummer/rocinante-12b | paid sao10k/l3-lunaris-8b | paid sao10k/l3-euryale-70b | paid sao10k/l3.1-euryale-70b | paid sao10k/l3.3-euryale-70b | paid + sarvamai/sarvam-m | paid + sarvamai/sarvam-m:free | free shisa-ai/shisa-v2-llama3.3-70b:free | free raifle/sorcererlm-8x22b | paid thedrummer/anubis-pro-105b-v1 | paid + thedrummer/rocinante-12b | paid thedrummer/skyfall-36b-v2 | paid + thedrummer/unslopnemo-12b | paid + thedrummer/valkyrie-49b-v1 | paid thudm/glm-4-32b | paid thudm/glm-4-32b:free | free thudm/glm-z1-32b | paid @@ -337,7 +345,6 @@ export interface IKBotOptions { undi95/toppy-m-7b | paid scb10x/llama3.1-typhoon2-70b-instruct | paid scb10x/llama3.1-typhoon2-8b-instruct | paid - thedrummer/unslopnemo-12b | paid microsoft/wizardlm-2-8x22b | paid x-ai/grok-2-1212 | paid x-ai/grok-2-vision-1212 | paid diff --git a/packages/kbot/tests/each/config-summary.md b/packages/kbot/tests/each/config-summary.md deleted file mode 100644 index c95828bf..00000000 --- a/packages/kbot/tests/each/config-summary.md +++ /dev/null @@ -1 +0,0 @@ -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 \ No newline at end of file