diff --git a/packages/kbot/dist-in/commands/handlers/index.js b/packages/kbot/dist-in/commands/handlers/index.js index 3fcabace..123f568d 100644 --- a/packages/kbot/dist-in/commands/handlers/index.js +++ b/packages/kbot/dist-in/commands/handlers/index.js @@ -3,6 +3,7 @@ import { TextHandler } from './text-handler.js'; import { AudioHandler } from './audio-handler.js'; import { ImageHandler } from './image-handler.js'; import { sync as exists } from '@polymech/fs/exists'; +import { resolve } from '@polymech/commons'; export function createHandlers(options) { return [ new AudioHandler(options), @@ -14,12 +15,12 @@ import { isFile } from '@polymech/commons'; export async function detectAndHandle(content, options) { const handlers = createHandlers(options); const contentStr = content.toString().trim(); + const promptPath = path.resolve(resolve(options.prompt, options.alt)); try { - if (isFile(contentStr) && exists(contentStr)) { - const filePath = path.resolve(contentStr); + if (isFile(promptPath) && exists(promptPath)) { for (const handler of handlers) { - if (await handler.canHandle(filePath, true)) { - return handler.handle(filePath, true); + if (await handler.canHandle(promptPath, true)) { + return handler.handle(promptPath, true); } } } @@ -31,10 +32,10 @@ export async function detectAndHandle(content, options) { } // Handle as raw content for (const handler of handlers) { - if (await handler.canHandle(content, false)) { - return handler.handle(content, false); + if (await handler.canHandle(contentStr, false)) { + return handler.handle(contentStr, false); } } throw new Error('No suitable handler found for the input content'); } -//# sourceMappingURL=data:application/json;base64,eyJ2ZXJzaW9uIjozLCJmaWxlIjoiaW5kZXguanMiLCJzb3VyY2VSb290IjoiIiwic291cmNlcyI6WyIuLi8uLi8uLi9zcmMvY29tbWFuZHMvaGFuZGxlcnMvaW5kZXgudHMiXSwibmFtZXMiOltdLCJtYXBwaW5ncyI6IkFBQUEsT0FBTyxLQUFLLElBQUksTUFBTSxXQUFXLENBQUE7QUFFakMsT0FBTyxFQUFFLFdBQVcsRUFBRSxNQUFNLG1CQUFtQixDQUFBO0FBQy9DLE9BQU8sRUFBRSxZQUFZLEVBQUUsTUFBTSxvQkFBb0IsQ0FBQTtBQUNqRCxPQUFPLEVBQUUsWUFBWSxFQUFFLE1BQU0sb0JBQW9CLENBQUE7QUFDakQsT0FBTyxFQUFFLElBQUksSUFBSSxNQUFNLEVBQUUsTUFBTSxxQkFBcUIsQ0FBQTtBQUlwRCxNQUFNLFVBQVUsY0FBYyxDQUFDLE9BQXFCO0lBQ2xELE9BQU87UUFDTCxJQUFJLFlBQVksQ0FBQyxPQUFPLENBQUM7UUFDekIsSUFBSSxZQUFZLENBQUMsT0FBTyxDQUFDO1FBQ3pCLElBQUksV0FBVyxFQUFFO0tBQ2xCLENBQUE7QUFDSCxDQUFDO0FBQ0QsT0FBTyxFQUFFLE1BQU0sRUFBRSxNQUFNLG1CQUFtQixDQUFDO0FBRTNDLE1BQU0sQ0FBQyxLQUFLLFVBQVUsZUFBZSxDQUFDLE9BQXdCLEVBQUUsT0FBcUI7SUFDbkYsTUFBTSxRQUFRLEdBQUcsY0FBYyxDQUFDLE9BQU8sQ0FBQyxDQUFBO0lBQ3hDLE1BQU0sVUFBVSxHQUFHLE9BQU8sQ0FBQyxRQUFRLEVBQUUsQ0FBQyxJQUFJLEVBQUUsQ0FBQztJQUM3QyxJQUFJLENBQUM7UUFDSCxJQUFJLE1BQU0sQ0FBQyxVQUFVLENBQUMsSUFBSSxNQUFNLENBQUMsVUFBVSxDQUFDLEVBQUUsQ0FBQztZQUM3QyxNQUFNLFFBQVEsR0FBRyxJQUFJLENBQUMsT0FBTyxDQUFDLFVBQVUsQ0FBQyxDQUFDO1lBQzFDLEtBQUssTUFBTSxPQUFPLElBQUksUUFBUSxFQUFFLENBQUM7Z0JBQy9CLElBQUksTUFBTSxPQUFPLENBQUMsU0FBUyxDQUFDLFFBQVEsRUFBRSxJQUFJLENBQUMsRUFBRSxDQUFDO29CQUM1QyxPQUFPLE9BQU8sQ0FBQyxNQUFNLENBQUMsUUFBUSxFQUFFLElBQUksQ0FBQyxDQUFDO2dCQUN4QyxDQUFDO1lBQ0gsQ0FBQztRQUNILENBQUM7SUFDSCxDQUFDO0lBQUMsT0FBTyxDQUFDLEVBQUUsQ0FBQztRQUNYLDZGQUE2RjtRQUM3Rix3RUFBd0U7UUFDeEUsT0FBTyxDQUFDLEtBQUssQ0FBQyx3REFBd0QsQ0FBQyxDQUFDLE9BQU8sRUFBRSxDQUFDLENBQUM7SUFDckYsQ0FBQztJQUVELHdCQUF3QjtJQUN4QixLQUFLLE1BQU0sT0FBTyxJQUFJLFFBQVEsRUFBRSxDQUFDO1FBQy9CLElBQUksTUFBTSxPQUFPLENBQUMsU0FBUyxDQUFDLE9BQU8sRUFBRSxLQUFLLENBQUMsRUFBRSxDQUFDO1lBQzVDLE9BQU8sT0FBTyxDQUFDLE1BQU0sQ0FBQyxPQUFPLEVBQUUsS0FBSyxDQUFDLENBQUM7UUFDeEMsQ0FBQztJQUNILENBQUM7SUFFRCxNQUFNLElBQUksS0FBSyxDQUFDLGlEQUFpRCxDQUFDLENBQUM7QUFDckUsQ0FBQyJ9 \ No newline at end of file +//# sourceMappingURL=data:application/json;base64,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 \ No newline at end of file diff --git a/packages/kbot/dist-in/data/openai_models.json b/packages/kbot/dist-in/data/openai_models.json index d2ddd81c..436657e3 100644 --- a/packages/kbot/dist-in/data/openai_models.json +++ b/packages/kbot/dist-in/data/openai_models.json @@ -1,5 +1,5 @@ { - "timestamp": 1754597769369, + "timestamp": 1755034933465, "models": [ { "id": "gpt-4-0613", diff --git a/packages/kbot/dist-in/data/openrouter_models.json b/packages/kbot/dist-in/data/openrouter_models.json index 7da94a49..c15ac1cf 100644 --- a/packages/kbot/dist-in/data/openrouter_models.json +++ b/packages/kbot/dist-in/data/openrouter_models.json @@ -1,6 +1,147 @@ { - "timestamp": 1754597769696, + "timestamp": 1755034933736, "models": [ + { + "id": "z-ai/glm-4.5v", + "canonical_slug": "z-ai/glm-4.5v", + "hugging_face_id": "zai-org/GLM-4.5V", + "name": "Z.AI: GLM 4.5V", + "created": 1754922288, + "description": "GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a \"thinking mode\" for deep reasoning and a \"non-thinking mode\" for fast responses. Reasoning behavior can be toggled via the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)", + "context_length": 65536, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000005", + "completion": "0.0000018", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 65536, + "max_completion_tokens": 65536, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "include_reasoning", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "reasoning", + "repetition_penalty", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ] + }, + { + "id": "ai21/jamba-mini-1.7", + "canonical_slug": "ai21/jamba-mini-1.7", + "hugging_face_id": "ai21labs/AI21-Jamba-Mini-1.7", + "name": "AI21: Jamba Mini 1.7", + "created": 1754670601, + "description": "Jamba Mini 1.7 is a compact and efficient member of the Jamba open model family, incorporating key improvements in grounding and instruction-following while maintaining the benefits of the SSM-Transformer hybrid architecture and 256K context window. Despite its compact size, it delivers accurate, contextually grounded responses and improved steerability.", + "context_length": 256000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000002", + "completion": "0.0000004", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 256000, + "max_completion_tokens": 4096, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "response_format", + "stop", + "temperature", + "tool_choice", + "tools", + "top_p" + ] + }, + { + "id": "ai21/jamba-large-1.7", + "canonical_slug": "ai21/jamba-large-1.7", + "hugging_face_id": "ai21labs/AI21-Jamba-Large-1.7", + "name": "AI21: Jamba Large 1.7", + "created": 1754669020, + "description": "Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more accurate, contextually grounded responses and better steerability than previous versions.", + "context_length": 256000, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Other", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000002", + "completion": "0.000008", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 256000, + "max_completion_tokens": 4096, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "response_format", + "stop", + "temperature", + "tool_choice", + "tools", + "top_p" + ] + }, { "id": "openai/gpt-5-chat", "canonical_slug": "openai/gpt-5-chat-2025-08-07", @@ -39,7 +180,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs" @@ -83,7 +226,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -129,7 +274,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -175,7 +322,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -203,8 +352,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000009", - "completion": "0.00000045", + "prompt": "0.00000007256312", + "completion": "0.0000002903936", "request": "0", "image": "0", "audio": "0", @@ -351,7 +500,8 @@ "modality": "text+image->text", "input_modalities": [ "image", - "text" + "text", + "file" ], "output_modalities": [ "text" @@ -484,7 +634,7 @@ "name": "Z.AI: GLM 4.5", "created": 1753471347, "description": "GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a \"thinking mode\" designed for complex reasoning and tool use, and a \"non-thinking mode\" optimized for instant responses. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)", - "context_length": 131072, + "context_length": 98304, "architecture": { "modality": "text->text", "input_modalities": [ @@ -497,8 +647,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000002", - "completion": "0.0000002", + "prompt": "0.0000001999188", + "completion": "0.000000800064", "request": "0", "image": "0", "audio": "0", @@ -506,7 +656,7 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 131072, + "context_length": 98304, "max_completion_tokens": null, "is_moderated": false }, @@ -579,6 +729,8 @@ "seed", "stop", "temperature", + "tool_choice", + "tools", "top_k", "top_logprobs", "top_p" @@ -591,7 +743,7 @@ "name": "Z.AI: GLM 4.5 Air", "created": 1753471258, "description": "GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a \"thinking mode\" for advanced reasoning and tool use, and a \"non-thinking mode\" for real-time interaction. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)", - "context_length": 128000, + "context_length": 131072, "architecture": { "modality": "text->text", "input_modalities": [ @@ -614,7 +766,7 @@ "input_cache_read": "0.00000003" }, "top_provider": { - "context_length": 128000, + "context_length": 131072, "max_completion_tokens": 96000, "is_moderated": false }, @@ -734,6 +886,58 @@ "top_p" ] }, + { + "id": "qwen/qwen3-coder:free", + "canonical_slug": "qwen/qwen3-coder-480b-a35b-07-25", + "hugging_face_id": "Qwen/Qwen3-Coder-480B-A35B-Instruct", + "name": "Qwen: Qwen3 Coder (free)", + "created": 1753230546, + "description": "Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts).\n\nPricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.", + "context_length": 262144, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Qwen3", + "instruct_type": null + }, + "pricing": { + "prompt": "0", + "completion": "0", + "request": "0", + "image": "0", + "audio": "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": [ + "frequency_penalty", + "logit_bias", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ] + }, { "id": "qwen/qwen3-coder", "canonical_slug": "qwen/qwen3-coder-480b-a35b-07-25", @@ -754,8 +958,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.0000001999188", - "completion": "0.000000800064", + "prompt": "0.0000002", + "completion": "0.0000008", "request": "0", "image": "0", "audio": "0", @@ -2174,7 +2378,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -2852,7 +3058,8 @@ "modality": "text+image->text", "input_modalities": [ "image", - "text" + "text", + "file" ], "output_modalities": [ "text" @@ -2901,7 +3108,8 @@ "modality": "text+image->text", "input_modalities": [ "image", - "text" + "text", + "file" ], "output_modalities": [ "text" @@ -2997,7 +3205,7 @@ "name": "Mistral: Devstral Small 2505", "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": 32768, + "context_length": 131072, "architecture": { "modality": "text->text", "input_modalities": [ @@ -3019,7 +3227,7 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 32768, + "context_length": 131072, "max_completion_tokens": null, "is_moderated": false }, @@ -3173,7 +3381,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -3783,8 +3993,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000005", - "completion": "0.00000005", + "prompt": "0.00000018", + "completion": "0.00000018", "request": "0", "image": "0", "audio": "0", @@ -4106,7 +4316,7 @@ }, "top_provider": { "context_length": 40960, - "max_completion_tokens": null, + "max_completion_tokens": 40960, "is_moderated": false }, "per_request_limits": null, @@ -4509,10 +4719,10 @@ ] }, { - "id": "thudm/glm-z1-32b:free", + "id": "thudm/glm-z1-32b", "canonical_slug": "thudm/glm-z1-32b-0414", "hugging_face_id": "THUDM/GLM-Z1-32B-0414", - "name": "THUDM: GLM Z1 32B (free)", + "name": "THUDM: GLM Z1 32B", "created": 1744924148, "description": "GLM-Z1-32B-0414 is an enhanced reasoning variant of GLM-4-32B, built for deep mathematical, logical, and code-oriented problem solving. It applies extended reinforcement learning—both task-specific and general pairwise preference-based—to improve performance on complex multi-step tasks. Compared to the base GLM-4-32B model, Z1 significantly boosts capabilities in structured reasoning and formal domains.\n\nThe model supports enforced “thinking” steps via prompt engineering and offers improved coherence for long-form outputs. It’s optimized for use in agentic workflows, and includes support for long context (via YaRN), JSON tool calling, and fine-grained sampling configuration for stable inference. Ideal for use cases requiring deliberate, multi-step reasoning or formal derivations.", "context_length": 32768, @@ -4528,8 +4738,8 @@ "instruct_type": "deepseek-r1" }, "pricing": { - "prompt": "0", - "completion": "0", + "prompt": "0.00000001999188", + "completion": "0.0000000800064", "request": "0", "image": "0", "audio": "0", @@ -4646,7 +4856,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -4692,7 +4904,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -4737,7 +4951,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs", @@ -5076,8 +5292,8 @@ "instruct_type": "alpaca" }, "pricing": { - "prompt": "0.0000006", - "completion": "0.000001", + "prompt": "0.0000007", + "completion": "0.0000011", "request": "0", "image": "0", "audio": "0", @@ -6214,7 +6430,9 @@ }, "per_request_limits": null, "supported_parameters": [ + "include_reasoning", "max_tokens", + "reasoning", "response_format", "seed", "structured_outputs" @@ -7310,7 +7528,8 @@ "modality": "text+image->text", "input_modalities": [ "text", - "image" + "image", + "file" ], "output_modalities": [ "text" @@ -7359,7 +7578,8 @@ "modality": "text+image->text", "input_modalities": [ "text", - "image" + "image", + "file" ], "output_modalities": [ "text" @@ -7406,7 +7626,8 @@ "modality": "text+image->text", "input_modalities": [ "text", - "image" + "image", + "file" ], "output_modalities": [ "text" @@ -8251,7 +8472,7 @@ "name": "Qwen: Qwen2.5 VL 72B Instruct", "created": 1738410311, "description": "Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.", - "context_length": 32000, + "context_length": 32768, "architecture": { "modality": "text+image->text", "input_modalities": [ @@ -8265,8 +8486,8 @@ "instruct_type": null }, "pricing": { - "prompt": "0.00000025", - "completion": "0.00000075", + "prompt": "0.0000000999594", + "completion": "0.000000400032", "request": "0", "image": "0", "audio": "0", @@ -8274,7 +8495,7 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 32000, + "context_length": 32768, "max_completion_tokens": null, "is_moderated": false }, @@ -9356,7 +9577,7 @@ }, "top_provider": { "context_length": 131072, - "max_completion_tokens": null, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -9370,7 +9591,6 @@ "response_format", "seed", "stop", - "structured_outputs", "temperature", "top_k", "top_p" @@ -10346,7 +10566,7 @@ "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": 32768, + "context_length": 32000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -10359,8 +10579,8 @@ "instruct_type": "mistral" }, "pricing": { - "prompt": "0.0000004", - "completion": "0.0000004", + "prompt": "0.00000045", + "completion": "0.00000045", "request": "0", "image": "0", "audio": "0", @@ -10368,8 +10588,8 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 32768, - "max_completion_tokens": null, + "context_length": 32000, + "max_completion_tokens": 32000, "is_moderated": false }, "per_request_limits": null, @@ -10392,100 +10612,6 @@ "top_p" ] }, - { - "id": "anthropic/claude-3.5-haiku-20241022", - "canonical_slug": "anthropic/claude-3-5-haiku-20241022", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Haiku (2024-10-22)", - "created": 1730678400, - "description": "Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries.\n\nIt does not support image inputs.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000008", - "input_cache_write": "0.000001" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, - { - "id": "anthropic/claude-3.5-haiku:beta", - "canonical_slug": "anthropic/claude-3-5-haiku", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Haiku (self-moderated)", - "created": 1730678400, - "description": "Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.\n\nThis makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.\n\nThis model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.0000008", - "completion": "0.000004", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000008", - "input_cache_write": "0.000001" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "anthropic/claude-3.5-haiku", "canonical_slug": "anthropic/claude-3-5-haiku", @@ -10533,6 +10659,54 @@ "top_p" ] }, + { + "id": "anthropic/claude-3.5-haiku-20241022", + "canonical_slug": "anthropic/claude-3-5-haiku-20241022", + "hugging_face_id": null, + "name": "Anthropic: Claude 3.5 Haiku (2024-10-22)", + "created": 1730678400, + "description": "Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries.\n\nIt does not support image inputs.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)", + "context_length": 200000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image", + "file" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Claude", + "instruct_type": null + }, + "pricing": { + "prompt": "0.0000008", + "completion": "0.000004", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0", + "input_cache_read": "0.00000008", + "input_cache_write": "0.000001" + }, + "top_provider": { + "context_length": 200000, + "max_completion_tokens": 8192, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "max_tokens", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ] + }, { "id": "anthracite-org/magnum-v4-72b", "canonical_slug": "anthracite-org/magnum-v4-72b", @@ -10582,53 +10756,6 @@ "top_p" ] }, - { - "id": "anthropic/claude-3.5-sonnet:beta", - "canonical_slug": "anthropic/claude-3.5-sonnet", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Sonnet (self-moderated)", - "created": 1729555200, - "description": "New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:\n\n- Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding\n- Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights\n- Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone\n- Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)\n\n#multimodal", - "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", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000003", - "input_cache_write": "0.00000375" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "anthropic/claude-3.5-sonnet", "canonical_slug": "anthropic/claude-3.5-sonnet", @@ -10641,7 +10768,8 @@ "modality": "text+image->text", "input_modalities": [ "text", - "image" + "image", + "file" ], "output_modalities": [ "text" @@ -10777,7 +10905,7 @@ "name": "Qwen2.5 7B Instruct", "created": 1729036800, "description": "Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2:\n\n- Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains.\n\n- Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots.\n\n- Long-context Support up to 128K tokens and can generate up to 8K tokens.\n\n- Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.\n\nUsage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).", - "context_length": 65536, + "context_length": 32768, "architecture": { "modality": "text->text", "input_modalities": [ @@ -10799,8 +10927,8 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 65536, - "max_completion_tokens": null, + "context_length": 32768, + "max_completion_tokens": 16384, "is_moderated": false }, "per_request_limits": null, @@ -10814,7 +10942,6 @@ "response_format", "seed", "stop", - "structured_outputs", "temperature", "top_k", "top_p" @@ -11059,6 +11186,54 @@ "top_p" ] }, + { + "id": "anthracite-org/magnum-v2-72b", + "canonical_slug": "anthracite-org/magnum-v2-72b", + "hugging_face_id": "anthracite-org/magnum-v2-72b", + "name": "Magnum v2 72B", + "created": 1727654400, + "description": "From the maker of [Goliath](https://openrouter.ai/models/alpindale/goliath-120b), Magnum 72B is the seventh in a family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet.\n\nThe model is based on [Qwen2 72B](https://openrouter.ai/models/qwen/qwen-2-72b-instruct) and trained with 55 million tokens of highly curated roleplay (RP) data.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Qwen", + "instruct_type": "chatml" + }, + "pricing": { + "prompt": "0.000003", + "completion": "0.000003", + "request": "0", + "image": "0", + "audio": "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": [ + "frequency_penalty", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "seed", + "stop", + "temperature", + "top_k", + "top_p" + ] + }, { "id": "liquid/lfm-40b", "canonical_slug": "liquid/lfm-40b", @@ -11110,54 +11285,6 @@ "top_p" ] }, - { - "id": "anthracite-org/magnum-v2-72b", - "canonical_slug": "anthracite-org/magnum-v2-72b", - "hugging_face_id": "anthracite-org/magnum-v2-72b", - "name": "Magnum v2 72B", - "created": 1727654400, - "description": "From the maker of [Goliath](https://openrouter.ai/models/alpindale/goliath-120b), Magnum 72B is the seventh in a family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet.\n\nThe model is based on [Qwen2 72B](https://openrouter.ai/models/qwen/qwen-2-72b-instruct) and trained with 55 million tokens of highly curated roleplay (RP) data.", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Qwen", - "instruct_type": "chatml" - }, - "pricing": { - "prompt": "0.000003", - "completion": "0.000003", - "request": "0", - "image": "0", - "audio": "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": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ] - }, { "id": "meta-llama/llama-3.2-3b-instruct:free", "canonical_slug": "meta-llama/llama-3.2-3b-instruct", @@ -11256,6 +11383,107 @@ "top_p" ] }, + { + "id": "meta-llama/llama-3.2-1b-instruct", + "canonical_slug": "meta-llama/llama-3.2-1b-instruct", + "hugging_face_id": "meta-llama/Llama-3.2-1B-Instruct", + "name": "Meta: Llama 3.2 1B Instruct", + "created": 1727222400, + "description": "Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resource environments while maintaining strong task performance.\n\nSupporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.000000005", + "completion": "0.00000001", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "top_k", + "top_logprobs", + "top_p" + ] + }, + { + "id": "meta-llama/llama-3.2-90b-vision-instruct", + "canonical_slug": "meta-llama/llama-3.2-90b-vision-instruct", + "hugging_face_id": "meta-llama/Llama-3.2-90B-Vision-Instruct", + "name": "Meta: Llama 3.2 90B Vision Instruct", + "created": 1727222400, + "description": "The Llama 90B Vision model is a top-tier, 90-billion-parameter multimodal model designed for the most challenging visual reasoning and language tasks. It offers unparalleled accuracy in image captioning, visual question answering, and advanced image-text comprehension. Pre-trained on vast multimodal datasets and fine-tuned with human feedback, the Llama 90B Vision is engineered to handle the most demanding image-based AI tasks.\n\nThis model is perfect for industries requiring cutting-edge multimodal AI capabilities, particularly those dealing with complex, real-time visual and textual analysis.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", + "context_length": 131072, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.0000012", + "completion": "0.0000012", + "request": "0", + "image": "0.001734", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 2048, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "response_format", + "seed", + "stop", + "temperature", + "top_k", + "top_p" + ] + }, { "id": "meta-llama/llama-3.2-11b-vision-instruct:free", "canonical_slug": "meta-llama/llama-3.2-11b-vision-instruct", @@ -11339,110 +11567,6 @@ "is_moderated": false }, "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_logprobs", - "top_p" - ] - }, - { - "id": "meta-llama/llama-3.2-90b-vision-instruct", - "canonical_slug": "meta-llama/llama-3.2-90b-vision-instruct", - "hugging_face_id": "meta-llama/Llama-3.2-90B-Vision-Instruct", - "name": "Meta: Llama 3.2 90B Vision Instruct", - "created": 1727222400, - "description": "The Llama 90B Vision model is a top-tier, 90-billion-parameter multimodal model designed for the most challenging visual reasoning and language tasks. It offers unparalleled accuracy in image captioning, visual question answering, and advanced image-text comprehension. Pre-trained on vast multimodal datasets and fine-tuned with human feedback, the Llama 90B Vision is engineered to handle the most demanding image-based AI tasks.\n\nThis model is perfect for industries requiring cutting-edge multimodal AI capabilities, particularly those dealing with complex, real-time visual and textual analysis.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", - "context_length": 131072, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.0000012", - "completion": "0.0000012", - "request": "0", - "image": "0.001734", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 2048, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "temperature", - "top_k", - "top_p" - ] - }, - { - "id": "meta-llama/llama-3.2-1b-instruct", - "canonical_slug": "meta-llama/llama-3.2-1b-instruct", - "hugging_face_id": "meta-llama/Llama-3.2-1B-Instruct", - "name": "Meta: Llama 3.2 1B Instruct", - "created": 1727222400, - "description": "Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resource environments while maintaining strong task performance.\n\nSupporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models.\n\nClick here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md).\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).", - "context_length": 131072, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.000000005", - "completion": "0.00000001", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, "supported_parameters": [ "frequency_penalty", "logit_bias", @@ -11570,7 +11694,7 @@ "name": "NeverSleep: Lumimaid v0.2 8B", "created": 1726358400, "description": "Lumimaid v0.2 8B is a finetune of [Llama 3.1 8B](/models/meta-llama/llama-3.1-8b-instruct) with a \"HUGE step up dataset wise\" compared to Lumimaid v0.1. Sloppy chats output were purged.\n\nUsage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 8192, + "context_length": 40000, "architecture": { "modality": "text->text", "input_modalities": [ @@ -11583,8 +11707,8 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.0000001", - "completion": "0.0000009", + "prompt": "0.00000017", + "completion": "0.00000099", "request": "0", "image": "0", "audio": "0", @@ -11592,8 +11716,8 @@ "internal_reasoning": "0" }, "top_provider": { - "context_length": 8192, - "max_completion_tokens": 8192, + "context_length": 40000, + "max_completion_tokens": 40000, "is_moderated": false }, "per_request_limits": null, @@ -11845,56 +11969,6 @@ "top_p" ] }, - { - "id": "sao10k/l3.1-euryale-70b", - "canonical_slug": "sao10k/l3.1-euryale-70b", - "hugging_face_id": "Sao10K/L3.1-70B-Euryale-v2.2", - "name": "Sao10K: Llama 3.1 Euryale 70B v2.2", - "created": 1724803200, - "description": "Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.00000065", - "completion": "0.00000075", - "request": "0", - "image": "0", - "audio": "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": [ - "frequency_penalty", - "logit_bias", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ] - }, { "id": "qwen/qwen-2.5-vl-7b-instruct", "canonical_slug": "qwen/qwen-2-vl-7b-instruct", @@ -11948,6 +12022,55 @@ "top_p" ] }, + { + "id": "sao10k/l3.1-euryale-70b", + "canonical_slug": "sao10k/l3.1-euryale-70b", + "hugging_face_id": "Sao10K/L3.1-70B-Euryale-v2.2", + "name": "Sao10K: Llama 3.1 Euryale 70B v2.2", + "created": 1724803200, + "description": "Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.00000065", + "completion": "0.00000075", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "response_format", + "seed", + "stop", + "temperature", + "top_k", + "top_p" + ] + }, { "id": "microsoft/phi-3.5-mini-128k-instruct", "canonical_slug": "microsoft/phi-3.5-mini-128k-instruct", @@ -12299,6 +12422,60 @@ "top_p" ] }, + { + "id": "meta-llama/llama-3.1-8b-instruct", + "canonical_slug": "meta-llama/llama-3.1-8b-instruct", + "hugging_face_id": "meta-llama/Meta-Llama-3.1-8B-Instruct", + "name": "Meta: Llama 3.1 8B Instruct", + "created": 1721692800, + "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "context_length": 131072, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Llama3", + "instruct_type": "llama3" + }, + "pricing": { + "prompt": "0.000000015", + "completion": "0.00000002", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 131072, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_logprobs", + "top_p" + ] + }, { "id": "meta-llama/llama-3.1-405b-instruct:free", "canonical_slug": "meta-llama/llama-3.1-405b-instruct", @@ -12399,60 +12576,6 @@ "top_p" ] }, - { - "id": "meta-llama/llama-3.1-8b-instruct", - "canonical_slug": "meta-llama/llama-3.1-8b-instruct", - "hugging_face_id": "meta-llama/Meta-Llama-3.1-8B-Instruct", - "name": "Meta: Llama 3.1 8B Instruct", - "created": 1721692800, - "description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", - "context_length": 131072, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Llama3", - "instruct_type": "llama3" - }, - "pricing": { - "prompt": "0.000000015", - "completion": "0.00000002", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 131072, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_logprobs", - "top_p" - ] - }, { "id": "meta-llama/llama-3.1-70b-instruct", "canonical_slug": "meta-llama/llama-3.1-70b-instruct", @@ -12871,53 +12994,6 @@ "top_p" ] }, - { - "id": "anthropic/claude-3.5-sonnet-20240620:beta", - "canonical_slug": "anthropic/claude-3.5-sonnet-20240620", - "hugging_face_id": null, - "name": "Anthropic: Claude 3.5 Sonnet (2024-06-20) (self-moderated)", - "created": 1718841600, - "description": "Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:\n\n- Coding: Autonomously writes, edits, and runs code with reasoning and troubleshooting\n- Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights\n- Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone\n- Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)\n\nFor the latest version (2024-10-23), check out [Claude 3.5 Sonnet](/anthropic/claude-3.5-sonnet).\n\n#multimodal", - "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", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000003", - "input_cache_write": "0.00000375" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "anthropic/claude-3.5-sonnet-20240620", "canonical_slug": "anthropic/claude-3.5-sonnet-20240620", @@ -12930,7 +13006,8 @@ "modality": "text+image->text", "input_modalities": [ "text", - "image" + "image", + "file" ], "output_modalities": [ "text" @@ -13108,58 +13185,6 @@ "top_p" ] }, - { - "id": "mistralai/mistral-7b-instruct-v0.3", - "canonical_slug": "mistralai/mistral-7b-instruct-v0.3", - "hugging_face_id": "mistralai/Mistral-7B-Instruct-v0.3", - "name": "Mistral: Mistral 7B Instruct v0.3", - "created": 1716768000, - "description": "A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.\n\nAn improved version of [Mistral 7B Instruct v0.2](/models/mistralai/mistral-7b-instruct-v0.2), with the following changes:\n\n- Extended vocabulary to 32768\n- Supports v3 Tokenizer\n- Supports function calling\n\nNOTE: Support for function calling depends on the provider.", - "context_length": 32768, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Mistral", - "instruct_type": "mistral" - }, - "pricing": { - "prompt": "0.000000028", - "completion": "0.000000054", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 32768, - "max_completion_tokens": 16384, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "min_p", - "presence_penalty", - "repetition_penalty", - "response_format", - "seed", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "mistralai/mistral-7b-instruct:free", "canonical_slug": "mistralai/mistral-7b-instruct", @@ -13314,6 +13339,58 @@ "top_p" ] }, + { + "id": "mistralai/mistral-7b-instruct-v0.3", + "canonical_slug": "mistralai/mistral-7b-instruct-v0.3", + "hugging_face_id": "mistralai/Mistral-7B-Instruct-v0.3", + "name": "Mistral: Mistral 7B Instruct v0.3", + "created": 1716768000, + "description": "A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.\n\nAn improved version of [Mistral 7B Instruct v0.2](/models/mistralai/mistral-7b-instruct-v0.2), with the following changes:\n\n- Extended vocabulary to 32768\n- Supports v3 Tokenizer\n- Supports function calling\n\nNOTE: Support for function calling depends on the provider.", + "context_length": 32768, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Mistral", + "instruct_type": "mistral" + }, + "pricing": { + "prompt": "0.000000028", + "completion": "0.000000054", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 32768, + "max_completion_tokens": 16384, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "logprobs", + "max_tokens", + "min_p", + "presence_penalty", + "repetition_penalty", + "response_format", + "seed", + "stop", + "temperature", + "tool_choice", + "tools", + "top_k", + "top_p" + ] + }, { "id": "microsoft/phi-3-mini-128k-instruct", "canonical_slug": "microsoft/phi-3-mini-128k-instruct", @@ -13496,60 +13573,6 @@ "top_p" ] }, - { - "id": "openai/gpt-4o-2024-05-13", - "canonical_slug": "openai/gpt-4o-2024-05-13", - "hugging_face_id": null, - "name": "OpenAI: GPT-4o (2024-05-13)", - "created": 1715558400, - "description": "GPT-4o (\"o\" for \"omni\") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.\n\nFor benchmarking against other models, it was briefly called [\"im-also-a-good-gpt2-chatbot\"](https://twitter.com/LiamFedus/status/1790064963966370209)\n\n#multimodal", - "context_length": 128000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image", - "file" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "GPT", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000005", - "completion": "0.000015", - "request": "0", - "image": "0.007225", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 128000, - "max_completion_tokens": 4096, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "presence_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_logprobs", - "top_p", - "web_search_options" - ] - }, { "id": "openai/gpt-4o", "canonical_slug": "openai/gpt-4o", @@ -13707,12 +13730,66 @@ ] }, { - "id": "meta-llama/llama-3-70b-instruct", - "canonical_slug": "meta-llama/llama-3-70b-instruct", - "hugging_face_id": "meta-llama/Meta-Llama-3-70B-Instruct", - "name": "Meta: Llama 3 70B Instruct", + "id": "openai/gpt-4o-2024-05-13", + "canonical_slug": "openai/gpt-4o-2024-05-13", + "hugging_face_id": null, + "name": "OpenAI: GPT-4o (2024-05-13)", + "created": 1715558400, + "description": "GPT-4o (\"o\" for \"omni\") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.\n\nFor benchmarking against other models, it was briefly called [\"im-also-a-good-gpt2-chatbot\"](https://twitter.com/LiamFedus/status/1790064963966370209)\n\n#multimodal", + "context_length": 128000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image", + "file" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000005", + "completion": "0.000015", + "request": "0", + "image": "0.007225", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 128000, + "max_completion_tokens": 4096, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "logprobs", + "max_tokens", + "presence_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_logprobs", + "top_p", + "web_search_options" + ] + }, + { + "id": "meta-llama/llama-3-8b-instruct", + "canonical_slug": "meta-llama/llama-3-8b-instruct", + "hugging_face_id": "meta-llama/Meta-Llama-3-8B-Instruct", + "name": "Meta: Llama 3 8B Instruct", "created": 1713398400, - "description": "Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "description": "Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", "context_length": 8192, "architecture": { "modality": "text->text", @@ -13726,8 +13803,8 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.0000003", - "completion": "0.0000004", + "prompt": "0.00000003", + "completion": "0.00000006", "request": "0", "image": "0", "audio": "0", @@ -13760,12 +13837,12 @@ ] }, { - "id": "meta-llama/llama-3-8b-instruct", - "canonical_slug": "meta-llama/llama-3-8b-instruct", - "hugging_face_id": "meta-llama/Meta-Llama-3-8B-Instruct", - "name": "Meta: Llama 3 8B Instruct", + "id": "meta-llama/llama-3-70b-instruct", + "canonical_slug": "meta-llama/llama-3-70b-instruct", + "hugging_face_id": "meta-llama/Meta-Llama-3-70B-Instruct", + "name": "Meta: Llama 3 70B Instruct", "created": 1713398400, - "description": "Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", + "description": "Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).", "context_length": 8192, "architecture": { "modality": "text->text", @@ -13779,8 +13856,8 @@ "instruct_type": "llama3" }, "pricing": { - "prompt": "0.00000003", - "completion": "0.00000006", + "prompt": "0.0000003", + "completion": "0.0000004", "request": "0", "image": "0", "audio": "0", @@ -13914,6 +13991,55 @@ "top_p" ] }, + { + "id": "google/gemini-pro-1.5", + "canonical_slug": "google/gemini-pro-1.5", + "hugging_face_id": null, + "name": "Google: Gemini 1.5 Pro", + "created": 1712620800, + "description": "Google's latest multimodal model, supports image and video[0] in text or chat prompts.\n\nOptimized for language tasks including:\n\n- Code generation\n- Text generation\n- Text editing\n- Problem solving\n- Recommendations\n- Information extraction\n- Data extraction or generation\n- AI agents\n\nUsage of Gemini is subject to Google's [Gemini Terms of Use](https://ai.google.dev/terms).\n\n* [0]: Video input is not available through OpenRouter at this time.", + "context_length": 2000000, + "architecture": { + "modality": "text+image->text", + "input_modalities": [ + "text", + "image" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Gemini", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00000125", + "completion": "0.000005", + "request": "0", + "image": "0.0006575", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 2000000, + "max_completion_tokens": 8192, + "is_moderated": false + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "max_tokens", + "presence_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_p" + ] + }, { "id": "openai/gpt-4-turbo", "canonical_slug": "openai/gpt-4-turbo", @@ -13966,55 +14092,6 @@ "top_p" ] }, - { - "id": "google/gemini-pro-1.5", - "canonical_slug": "google/gemini-pro-1.5", - "hugging_face_id": null, - "name": "Google: Gemini 1.5 Pro", - "created": 1712620800, - "description": "Google's latest multimodal model, supports image and video[0] in text or chat prompts.\n\nOptimized for language tasks including:\n\n- Code generation\n- Text generation\n- Text editing\n- Problem solving\n- Recommendations\n- Information extraction\n- Data extraction or generation\n- AI agents\n\nUsage of Gemini is subject to Google's [Gemini Terms of Use](https://ai.google.dev/terms).\n\n* [0]: Video input is not available through OpenRouter at this time.", - "context_length": 2000000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Gemini", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000125", - "completion": "0.000005", - "request": "0", - "image": "0.0006575", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 2000000, - "max_completion_tokens": 8192, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "max_tokens", - "presence_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_p" - ] - }, { "id": "cohere/command-r-plus", "canonical_slug": "cohere/command-r-plus", @@ -14159,6 +14236,53 @@ "top_p" ] }, + { + "id": "cohere/command", + "canonical_slug": "cohere/command", + "hugging_face_id": null, + "name": "Cohere: Command", + "created": 1710374400, + "description": "Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", + "context_length": 4096, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "Cohere", + "instruct_type": null + }, + "pricing": { + "prompt": "0.000001", + "completion": "0.000002", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 4096, + "max_completion_tokens": 4000, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "max_tokens", + "presence_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "top_k", + "top_p" + ] + }, { "id": "cohere/command-r", "canonical_slug": "cohere/command-r", @@ -14207,100 +14331,6 @@ "top_p" ] }, - { - "id": "cohere/command", - "canonical_slug": "cohere/command", - "hugging_face_id": null, - "name": "Cohere: Command", - "created": 1710374400, - "description": "Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.\n\nUse of this model is subject to Cohere's [Usage Policy](https://docs.cohere.com/docs/usage-policy) and [SaaS Agreement](https://cohere.com/saas-agreement).", - "context_length": 4096, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Cohere", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000001", - "completion": "0.000002", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 4096, - "max_completion_tokens": 4000, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "max_tokens", - "presence_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "top_k", - "top_p" - ] - }, - { - "id": "anthropic/claude-3-haiku:beta", - "canonical_slug": "anthropic/claude-3-haiku", - "hugging_face_id": null, - "name": "Anthropic: Claude 3 Haiku (self-moderated)", - "created": 1710288000, - "description": "Claude 3 Haiku is Anthropic's fastest and most compact model for\nnear-instant responsiveness. Quick and accurate targeted performance.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)\n\n#multimodal", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00000025", - "completion": "0.00000125", - "request": "0", - "image": "0.0004", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.00000003", - "input_cache_write": "0.0000003" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "anthropic/claude-3-haiku", "canonical_slug": "anthropic/claude-3-haiku", @@ -14348,53 +14378,6 @@ "top_p" ] }, - { - "id": "anthropic/claude-3-opus:beta", - "canonical_slug": "anthropic/claude-3-opus", - "hugging_face_id": null, - "name": "Anthropic: Claude 3 Opus (self-moderated)", - "created": 1709596800, - "description": "Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.\n\nSee the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)\n\n#multimodal", - "context_length": 200000, - "architecture": { - "modality": "text+image->text", - "input_modalities": [ - "text", - "image" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "Claude", - "instruct_type": null - }, - "pricing": { - "prompt": "0.000015", - "completion": "0.000075", - "request": "0", - "image": "0.024", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0", - "input_cache_read": "0.0000015", - "input_cache_write": "0.00001875" - }, - "top_provider": { - "context_length": 200000, - "max_completion_tokens": 4096, - "is_moderated": false - }, - "per_request_limits": null, - "supported_parameters": [ - "max_tokens", - "stop", - "temperature", - "tool_choice", - "tools", - "top_k", - "top_p" - ] - }, { "id": "anthropic/claude-3-opus", "canonical_slug": "anthropic/claude-3-opus", @@ -14952,8 +14935,8 @@ "instruct_type": "airoboros" }, "pricing": { - "prompt": "0.000009", - "completion": "0.000011", + "prompt": "0.00001", + "completion": "0.0000125", "request": "0", "image": "0", "audio": "0", @@ -14962,7 +14945,7 @@ }, "top_provider": { "context_length": 6144, - "max_completion_tokens": null, + "max_completion_tokens": 512, "is_moderated": false }, "per_request_limits": null, @@ -14973,10 +14956,8 @@ "min_p", "presence_penalty", "repetition_penalty", - "response_format", "seed", "stop", - "structured_outputs", "temperature", "top_a", "top_k", @@ -15184,8 +15165,8 @@ "instruct_type": "alpaca" }, "pricing": { - "prompt": "0.0000006", - "completion": "0.000001", + "prompt": "0.0000007", + "completion": "0.0000011", "request": "0", "image": "0", "audio": "0", @@ -15464,57 +15445,6 @@ "top_p" ] }, - { - "id": "openai/gpt-4-0314", - "canonical_slug": "openai/gpt-4-0314", - "hugging_face_id": null, - "name": "OpenAI: GPT-4 (older v0314)", - "created": 1685232000, - "description": "GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.", - "context_length": 8191, - "architecture": { - "modality": "text->text", - "input_modalities": [ - "text" - ], - "output_modalities": [ - "text" - ], - "tokenizer": "GPT", - "instruct_type": null - }, - "pricing": { - "prompt": "0.00003", - "completion": "0.00006", - "request": "0", - "image": "0", - "audio": "0", - "web_search": "0", - "internal_reasoning": "0" - }, - "top_provider": { - "context_length": 8191, - "max_completion_tokens": 4096, - "is_moderated": true - }, - "per_request_limits": null, - "supported_parameters": [ - "frequency_penalty", - "logit_bias", - "logprobs", - "max_tokens", - "presence_penalty", - "response_format", - "seed", - "stop", - "structured_outputs", - "temperature", - "tool_choice", - "tools", - "top_logprobs", - "top_p" - ] - }, { "id": "openai/gpt-4", "canonical_slug": "openai/gpt-4", @@ -15565,6 +15495,57 @@ "top_logprobs", "top_p" ] + }, + { + "id": "openai/gpt-4-0314", + "canonical_slug": "openai/gpt-4-0314", + "hugging_face_id": null, + "name": "OpenAI: GPT-4 (older v0314)", + "created": 1685232000, + "description": "GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.", + "context_length": 8191, + "architecture": { + "modality": "text->text", + "input_modalities": [ + "text" + ], + "output_modalities": [ + "text" + ], + "tokenizer": "GPT", + "instruct_type": null + }, + "pricing": { + "prompt": "0.00003", + "completion": "0.00006", + "request": "0", + "image": "0", + "audio": "0", + "web_search": "0", + "internal_reasoning": "0" + }, + "top_provider": { + "context_length": 8191, + "max_completion_tokens": 4096, + "is_moderated": true + }, + "per_request_limits": null, + "supported_parameters": [ + "frequency_penalty", + "logit_bias", + "logprobs", + "max_tokens", + "presence_penalty", + "response_format", + "seed", + "stop", + "structured_outputs", + "temperature", + "tool_choice", + "tools", + "top_logprobs", + "top_p" + ] } ] } \ 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 1b047d9c..955d6c20 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":"openai/gpt-5-chat","name":"OpenAI: GPT-5 Chat","pricing":{"prompt":"0.00000125","completion":"0.00001","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000125"},"created":1754587837,"top_provider":{"context_length":400000,"max_completion_tokens":128000,"is_moderated":true}},{"id":"openai/gpt-5","name":"OpenAI: GPT-5","pricing":{"prompt":"0.00000125","completion":"0.00001","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000125"},"created":1754587413,"top_provider":{"context_length":400000,"max_completion_tokens":128000,"is_moderated":true}},{"id":"openai/gpt-5-mini","name":"OpenAI: GPT-5 Mini","pricing":{"prompt":"0.00000025","completion":"0.000002","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000025"},"created":1754587407,"top_provider":{"context_length":400000,"max_completion_tokens":128000,"is_moderated":true}},{"id":"openai/gpt-5-nano","name":"OpenAI: GPT-5 Nano","pricing":{"prompt":"0.00000005","completion":"0.0000004","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000005"},"created":1754587402,"top_provider":{"context_length":400000,"max_completion_tokens":128000,"is_moderated":true}},{"id":"openai/gpt-oss-120b","name":"OpenAI: gpt-oss-120b","pricing":{"prompt":"0.00000009","completion":"0.00000045","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1754414231,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"openai/gpt-oss-20b:free","name":"OpenAI: gpt-oss-20b (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1754414229,"top_provider":{"context_length":131072,"max_completion_tokens":131072,"is_moderated":false}},{"id":"openai/gpt-oss-20b","name":"OpenAI: gpt-oss-20b","pricing":{"prompt":"0.00000004","completion":"0.00000016","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1754414229,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"anthropic/claude-opus-4.1","name":"Anthropic: Claude Opus 4.1","pricing":{"prompt":"0.000015","completion":"0.000075","request":"0","image":"0.024","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.0000015","input_cache_write":"0.00001875"},"created":1754411591,"top_provider":{"context_length":200000,"max_completion_tokens":32000,"is_moderated":true}},{"id":"mistralai/codestral-2508","name":"Mistral: Codestral 2508","pricing":{"prompt":"0.0000003","completion":"0.0000009","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1754079630,"top_provider":{"context_length":256000,"max_completion_tokens":null,"is_moderated":false}},{"id":"qwen/qwen3-30b-a3b-instruct-2507","name":"Qwen: Qwen3 30B A3B Instruct 2507","pricing":{"prompt":"0.0000002","completion":"0.0000008","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753806965,"top_provider":{"context_length":131072,"max_completion_tokens":32768,"is_moderated":false}},{"id":"z-ai/glm-4.5","name":"Z.AI: GLM 4.5","pricing":{"prompt":"0.0000002","completion":"0.0000002","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753471347,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"z-ai/glm-4.5-air:free","name":"Z.AI: GLM 4.5 Air (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753471258,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"z-ai/glm-4.5-air","name":"Z.AI: GLM 4.5 Air","pricing":{"prompt":"0.0000002","completion":"0.0000011","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.00000003"},"created":1753471258,"top_provider":{"context_length":128000,"max_completion_tokens":96000,"is_moderated":false}},{"id":"qwen/qwen3-235b-a22b-thinking-2507","name":"Qwen: Qwen3 235B A22B Thinking 2507","pricing":{"prompt":"0.000000077968332","completion":"0.00000031202496","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753449557,"top_provider":{"context_length":262144,"max_completion_tokens":null,"is_moderated":false}},{"id":"z-ai/glm-4-32b","name":"Z.AI: GLM 4 32B ","pricing":{"prompt":"0.0000001","completion":"0.0000001","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753376617,"top_provider":{"context_length":128000,"max_completion_tokens":null,"is_moderated":false}},{"id":"qwen/qwen3-coder","name":"Qwen: Qwen3 Coder ","pricing":{"prompt":"0.0000001999188","completion":"0.000000800064","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753230546,"top_provider":{"context_length":262144,"max_completion_tokens":null,"is_moderated":false}},{"id":"bytedance/ui-tars-1.5-7b","name":"Bytedance: UI-TARS 7B ","pricing":{"prompt":"0.0000001","completion":"0.0000002","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753205056,"top_provider":{"context_length":128000,"max_completion_tokens":2048,"is_moderated":false}},{"id":"google/gemini-2.5-flash-lite","name":"Google: Gemini 2.5 Flash Lite","pricing":{"prompt":"0.0000001","completion":"0.0000004","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0","input_cache_read":"0.000000025","input_cache_write":"0.0000001833"},"created":1753200276,"top_provider":{"context_length":1048576,"max_completion_tokens":65535,"is_moderated":false}},{"id":"qwen/qwen3-235b-a22b-2507","name":"Qwen: Qwen3 235B A22B Instruct 2507","pricing":{"prompt":"0.000000077968332","completion":"0.00000031202496","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1753119555,"top_provider":{"context_length":262144,"max_completion_tokens":null,"is_moderated":false}},{"id":"switchpoint/router","name":"Switchpoint Router","pricing":{"prompt":"0.00000085","completion":"0.0000034","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1752272899,"top_provider":{"context_length":131072,"max_completion_tokens":null,"is_moderated":false}},{"id":"moonshotai/kimi-k2:free","name":"MoonshotAI: Kimi K2 (free)","pricing":{"prompt":"0","completion":"0","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1752263252,"top_provider":{"context_length":32768,"max_completion_tokens":null,"is_moderated":false}},{"id":"moonshotai/kimi-k2","name":"MoonshotAI: Kimi K2","pricing":{"prompt":"0.00000014","completion":"0.00000249","request":"0","image":"0","audio":"0","web_search":"0","internal_reasoning":"0"},"created":1752263252,"top_provider":{"context_length":63000,"max_completion_tokens":63000,"is_moderated":false}},{"id":"thudm/glm-4.1v-9b-thinking","name":"THUDM: GLM 4.1V 9B 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\ No newline at end of file diff --git a/packages/kbot/dist/main_node.js b/packages/kbot/dist/main_node.js index fe2f8a80..cdedb3d4 100644 --- a/packages/kbot/dist/main_node.js +++ b/packages/kbot/dist/main_node.js @@ -174097,11 +174097,10 @@ const onCompletion = async (result = "", options) => { MODEL: options.model ? external_node_path_.parse(options.model).name : 'unknown_model', ROUTER: options.router || 'unknown_router', }; - const dstPath = external_node_path_.resolve((0,dist/* resolve */.hd)(options.dst, false, vars)); + const dstPath = external_node_path_.resolve((0,dist/* resolve */.hd)(options.dst, options.alt, vars)); writeOrAppend(dstPath, result, options.append); const action = options.append ? `${options.append} content to` : 'Wrote completion result to'; options.logger?.debug(`${action} ${dstPath} : ${options.dst}`); - console.log(`wrote ${action} ${dstPath} : ${options.dst}`); } else { marked_esm/* marked */.xI.use((0,marked_terminal/* markedTerminal */.X)({ @@ -174131,7 +174130,7 @@ const runCompletion = async (client, params, options) => { result = await onCompletion(result, options); return result; }; -//# 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+//# 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// EXTERNAL MODULE: ../fs/dist/inspect.js + 1 modules var inspect = __webpack_require__(1635); // EXTERNAL MODULE: ./dist-in/constants.js @@ -174668,6 +174667,7 @@ class image_handler_ImageHandler extends BaseHandler { + function createHandlers(options) { return [ new AudioHandler(options), @@ -174679,12 +174679,12 @@ function createHandlers(options) { async function detectAndHandle(content, options) { const handlers = createHandlers(options); const contentStr = content.toString().trim(); + const promptPath = external_node_path_.resolve((0,dist/* resolve */.hd)(options.prompt, options.alt)); try { - if ((0,dist/* isFile */.fo)(contentStr) && (0,exists/* sync */.OH)(contentStr)) { - const filePath = external_node_path_.resolve(contentStr); + if ((0,dist/* isFile */.fo)(promptPath) && (0,exists/* sync */.OH)(promptPath)) { for (const handler of handlers) { - if (await handler.canHandle(filePath, true)) { - return handler.handle(filePath, true); + if (await handler.canHandle(promptPath, true)) { + return handler.handle(promptPath, true); } } } @@ -174696,13 +174696,13 @@ async function detectAndHandle(content, options) { } // Handle as raw content for (const handler of handlers) { - if (await handler.canHandle(content, false)) { - return handler.handle(content, false); + if (await handler.canHandle(contentStr, false)) { + return handler.handle(contentStr, false); } } throw new Error('No suitable handler found for the input content'); } -//# 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+//# 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;// ./dist-in/utils/input.js @@ -174762,7 +174762,7 @@ const resolveQuery = async (options) => { } } if (options.prompt) { - const queryPath = (0,dist/* resolve */.hd)(external_node_path_.resolve(options.prompt) || ''); + const queryPath = external_node_path_.resolve((0,dist/* resolve */.hd)(options.prompt, options.alt)) || ''; if ((0,exists/* sync */.OH)(queryPath) && (0,dist/* isFile */.fo)(queryPath)) { const fileContent = (0,read/* sync */.OH)(queryPath, 'buffer'); try { @@ -174778,7 +174778,7 @@ const resolveQuery = async (options) => { } return ""; }; -//# 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+//# 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;// ./dist-in/prompt.js @@ -198696,6 +198696,9 @@ const OptionsSchema = (opts) => { .describe('Logging directory')).add('stream', zod__WEBPACK_IMPORTED_MODULE_14__.z.boolean() .default(false) .describe('Enable streaming (verbose LLM output)')) + .add('alt', zod__WEBPACK_IMPORTED_MODULE_14__.z.boolean() + .default(false) + .describe('Use alternate tokenizer & instead of $')) .add('env', zod__WEBPACK_IMPORTED_MODULE_14__.z.string() .default('default') .describe('Environment (in profile)')) @@ -198789,7 +198792,7 @@ const schemas = () => { (0,_polymech_commons__WEBPACK_IMPORTED_MODULE_3__/* .write */ .M9)([OptionsSchema()], 'schema.json', 'kbot', {}); (0,_polymech_fs_write__WEBPACK_IMPORTED_MODULE_5__/* .sync */ .OH)('schema_ui.json', schemaMap.getUISchema()); }; -//# 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/***/ }), diff --git a/packages/kbot/dist/package-lock.json b/packages/kbot/dist/package-lock.json index 42526aa8..c71e0d9e 100644 --- a/packages/kbot/dist/package-lock.json +++ b/packages/kbot/dist/package-lock.json @@ -1,12 +1,12 @@ { "name": "@plastichub/kbot", - "version": "1.1.47", + "version": "1.1.48", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@plastichub/kbot", - "version": "1.1.47", + "version": "1.1.48", "license": "ISC", "dependencies": { "node-emoji": "^2.2.0" diff --git a/packages/kbot/dist/package.json b/packages/kbot/dist/package.json index a20d63eb..84bd9608 100644 --- a/packages/kbot/dist/package.json +++ b/packages/kbot/dist/package.json @@ -1,6 +1,6 @@ { "name": "@plastichub/kbot", - "version": "1.1.47", + "version": "1.1.48", "main": "main_node.js", "author": "", "license": "ISC", diff --git a/packages/kbot/salamand.json b/packages/kbot/salamand.json index 42d3ee72..71310b6a 100644 --- a/packages/kbot/salamand.json +++ b/packages/kbot/salamand.json @@ -1,8 +1,8 @@ { "resize": { - "name": "Product Discription", + "name": "Product Description", "command": "kbot-d", - "args": "modify --prompt=\"as short product description, in markdown - if possible extract product name, and specifications\" --alt=true --logLevel=3 --include=\"$(FullName)\" --dst=\"&{SRC_DIR}/&{SRC_NAME}_description.md\" --mode=completion", - "description": "Resize images" + "args": "modify --prompt=\"&{POLYMECH-ROOT}/nordin-exe/templates/product-description.md\" --alt=true --logLevel=3 --include=\"$(FullName)\" --dst=\"&{SRC_DIR}/&{SRC_NAME}_description.md\" --mode=completion", + "description": "Generate product description" } } diff --git a/packages/kbot/src/commands/handlers/index.ts b/packages/kbot/src/commands/handlers/index.ts index e7a761b2..672f1515 100644 --- a/packages/kbot/src/commands/handlers/index.ts +++ b/packages/kbot/src/commands/handlers/index.ts @@ -6,7 +6,7 @@ import { ImageHandler } from './image-handler.js' import { sync as exists } from '@polymech/fs/exists' import { IKBotOptions } from '../../zod_types.js' - +import { resolve } from '@polymech/commons' export function createHandlers(options: IKBotOptions): IHandler[] { return [ new AudioHandler(options), @@ -19,12 +19,12 @@ import { isFile } from '@polymech/commons'; export async function detectAndHandle(content: Buffer | string, options: IKBotOptions): Promise { const handlers = createHandlers(options) const contentStr = content.toString().trim(); + const promptPath = path.resolve(resolve(options.prompt,options.alt)) try { - if (isFile(contentStr) && exists(contentStr)) { - const filePath = path.resolve(contentStr); + if (isFile(promptPath) && exists(promptPath)) { for (const handler of handlers) { - if (await handler.canHandle(filePath, true)) { - return handler.handle(filePath, true); + if (await handler.canHandle(promptPath, true)) { + return handler.handle(promptPath, true); } } } @@ -36,8 +36,8 @@ export async function detectAndHandle(content: Buffer | string, options: IKBotOp // Handle as raw content for (const handler of handlers) { - if (await handler.canHandle(content, false)) { - return handler.handle(content, false); + if (await handler.canHandle(contentStr, false)) { + return handler.handle(contentStr, false); } } diff --git a/packages/kbot/src/models/cache/openrouter-models-free.ts b/packages/kbot/src/models/cache/openrouter-models-free.ts index 6fe338c9..13d2b664 100644 --- a/packages/kbot/src/models/cache/openrouter-models-free.ts +++ b/packages/kbot/src/models/cache/openrouter-models-free.ts @@ -1,6 +1,7 @@ export enum E_OPENROUTER_MODEL_FREE { MODEL_FREE_OPENAI_GPT_OSS_20B_FREE = "openai/gpt-oss-20b:free", MODEL_FREE_Z_AI_GLM_4_5_AIR_FREE = "z-ai/glm-4.5-air:free", + MODEL_FREE_QWEN_QWEN3_CODER_FREE = "qwen/qwen3-coder:free", MODEL_FREE_MOONSHOTAI_KIMI_K2_FREE = "moonshotai/kimi-k2:free", MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN_MISTRAL_24B_VENICE_EDITION_FREE = "cognitivecomputations/dolphin-mistral-24b-venice-edition:free", MODEL_FREE_GOOGLE_GEMMA_3N_E2B_IT_FREE = "google/gemma-3n-e2b-it:free", @@ -20,7 +21,6 @@ export enum E_OPENROUTER_MODEL_FREE { MODEL_FREE_QWEN_QWEN3_235B_A22B_FREE = "qwen/qwen3-235b-a22b:free", MODEL_FREE_TNGTECH_DEEPSEEK_R1T_CHIMERA_FREE = "tngtech/deepseek-r1t-chimera:free", MODEL_FREE_MICROSOFT_MAI_DS_R1_FREE = "microsoft/mai-ds-r1:free", - MODEL_FREE_THUDM_GLM_Z1_32B_FREE = "thudm/glm-z1-32b:free", MODEL_FREE_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE = "shisa-ai/shisa-v2-llama3.3-70b:free", MODEL_FREE_ARLIAI_QWQ_32B_ARLIAI_RPR_V1_FREE = "arliai/qwq-32b-arliai-rpr-v1:free", MODEL_FREE_AGENTICA_ORG_DEEPCODER_14B_PREVIEW_FREE = "agentica-org/deepcoder-14b-preview:free", diff --git a/packages/kbot/src/models/cache/openrouter-models.ts b/packages/kbot/src/models/cache/openrouter-models.ts index c28b082d..60d4973c 100644 --- a/packages/kbot/src/models/cache/openrouter-models.ts +++ b/packages/kbot/src/models/cache/openrouter-models.ts @@ -1,4 +1,7 @@ export enum E_OPENROUTER_MODEL { + MODEL_Z_AI_GLM_4_5V = "z-ai/glm-4.5v", + MODEL_AI21_JAMBA_MINI_1_7 = "ai21/jamba-mini-1.7", + MODEL_AI21_JAMBA_LARGE_1_7 = "ai21/jamba-large-1.7", MODEL_OPENAI_GPT_5_CHAT = "openai/gpt-5-chat", MODEL_OPENAI_GPT_5 = "openai/gpt-5", MODEL_OPENAI_GPT_5_MINI = "openai/gpt-5-mini", @@ -14,6 +17,7 @@ export enum E_OPENROUTER_MODEL { MODEL_Z_AI_GLM_4_5_AIR = "z-ai/glm-4.5-air", MODEL_QWEN_QWEN3_235B_A22B_THINKING_2507 = "qwen/qwen3-235b-a22b-thinking-2507", MODEL_Z_AI_GLM_4_32B = "z-ai/glm-4-32b", + MODEL_QWEN_QWEN3_CODER_FREE = "qwen/qwen3-coder:free", MODEL_QWEN_QWEN3_CODER = "qwen/qwen3-coder", MODEL_BYTEDANCE_UI_TARS_1_5_7B = "bytedance/ui-tars-1.5-7b", MODEL_GOOGLE_GEMINI_2_5_FLASH_LITE = "google/gemini-2.5-flash-lite", @@ -89,7 +93,7 @@ export enum E_OPENROUTER_MODEL { MODEL_TNGTECH_DEEPSEEK_R1T_CHIMERA = "tngtech/deepseek-r1t-chimera", MODEL_MICROSOFT_MAI_DS_R1_FREE = "microsoft/mai-ds-r1:free", MODEL_MICROSOFT_MAI_DS_R1 = "microsoft/mai-ds-r1", - MODEL_THUDM_GLM_Z1_32B_FREE = "thudm/glm-z1-32b:free", + MODEL_THUDM_GLM_Z1_32B = "thudm/glm-z1-32b", MODEL_THUDM_GLM_4_32B = "thudm/glm-4-32b", MODEL_OPENAI_O4_MINI_HIGH = "openai/o4-mini-high", MODEL_OPENAI_O3 = "openai/o3", @@ -209,11 +213,9 @@ export enum E_OPENROUTER_MODEL { MODEL_QWEN_QWEN_2_5_CODER_32B_INSTRUCT = "qwen/qwen-2.5-coder-32b-instruct", MODEL_RAIFLE_SORCERERLM_8X22B = "raifle/sorcererlm-8x22b", MODEL_THEDRUMMER_UNSLOPNEMO_12B = "thedrummer/unslopnemo-12b", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022 = "anthropic/claude-3.5-haiku-20241022", - MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_BETA = "anthropic/claude-3.5-haiku:beta", MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU = "anthropic/claude-3.5-haiku", + MODEL_ANTHROPIC_CLAUDE_3_5_HAIKU_20241022 = "anthropic/claude-3.5-haiku-20241022", MODEL_ANTHRACITE_ORG_MAGNUM_V4_72B = "anthracite-org/magnum-v4-72b", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_BETA = "anthropic/claude-3.5-sonnet:beta", MODEL_ANTHROPIC_CLAUDE_3_5_SONNET = "anthropic/claude-3.5-sonnet", MODEL_MISTRALAI_MINISTRAL_8B = "mistralai/ministral-8b", MODEL_MISTRALAI_MINISTRAL_3B = "mistralai/ministral-3b", @@ -223,14 +225,14 @@ export enum E_OPENROUTER_MODEL { MODEL_INFLECTION_INFLECTION_3_PI = "inflection/inflection-3-pi", MODEL_GOOGLE_GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5-8b", MODEL_THEDRUMMER_ROCINANTE_12B = "thedrummer/rocinante-12b", - MODEL_LIQUID_LFM_40B = "liquid/lfm-40b", MODEL_ANTHRACITE_ORG_MAGNUM_V2_72B = "anthracite-org/magnum-v2-72b", + MODEL_LIQUID_LFM_40B = "liquid/lfm-40b", MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT_FREE = "meta-llama/llama-3.2-3b-instruct:free", MODEL_META_LLAMA_LLAMA_3_2_3B_INSTRUCT = "meta-llama/llama-3.2-3b-instruct", + MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT = "meta-llama/llama-3.2-1b-instruct", + MODEL_META_LLAMA_LLAMA_3_2_90B_VISION_INSTRUCT = "meta-llama/llama-3.2-90b-vision-instruct", MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT_FREE = "meta-llama/llama-3.2-11b-vision-instruct:free", MODEL_META_LLAMA_LLAMA_3_2_11B_VISION_INSTRUCT = "meta-llama/llama-3.2-11b-vision-instruct", - MODEL_META_LLAMA_LLAMA_3_2_90B_VISION_INSTRUCT = "meta-llama/llama-3.2-90b-vision-instruct", - MODEL_META_LLAMA_LLAMA_3_2_1B_INSTRUCT = "meta-llama/llama-3.2-1b-instruct", MODEL_QWEN_QWEN_2_5_72B_INSTRUCT_FREE = "qwen/qwen-2.5-72b-instruct:free", MODEL_QWEN_QWEN_2_5_72B_INSTRUCT = "qwen/qwen-2.5-72b-instruct", MODEL_NEVERSLEEP_LLAMA_3_1_LUMIMAID_8B = "neversleep/llama-3.1-lumimaid-8b", @@ -239,8 +241,8 @@ export enum E_OPENROUTER_MODEL { MODEL_MISTRALAI_PIXTRAL_12B = "mistralai/pixtral-12b", MODEL_COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024", MODEL_COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024", - MODEL_SAO10K_L3_1_EURYALE_70B = "sao10k/l3.1-euryale-70b", MODEL_QWEN_QWEN_2_5_VL_7B_INSTRUCT = "qwen/qwen-2.5-vl-7b-instruct", + MODEL_SAO10K_L3_1_EURYALE_70B = "sao10k/l3.1-euryale-70b", MODEL_MICROSOFT_PHI_3_5_MINI_128K_INSTRUCT = "microsoft/phi-3.5-mini-128k-instruct", MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b", MODEL_NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b", @@ -248,9 +250,9 @@ export enum E_OPENROUTER_MODEL { MODEL_SAO10K_L3_LUNARIS_8B = "sao10k/l3-lunaris-8b", MODEL_OPENAI_GPT_4O_2024_08_06 = "openai/gpt-4o-2024-08-06", MODEL_META_LLAMA_LLAMA_3_1_405B = "meta-llama/llama-3.1-405b", + MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT = "meta-llama/llama-3.1-8b-instruct", MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT_FREE = "meta-llama/llama-3.1-405b-instruct:free", MODEL_META_LLAMA_LLAMA_3_1_405B_INSTRUCT = "meta-llama/llama-3.1-405b-instruct", - MODEL_META_LLAMA_LLAMA_3_1_8B_INSTRUCT = "meta-llama/llama-3.1-8b-instruct", MODEL_META_LLAMA_LLAMA_3_1_70B_INSTRUCT = "meta-llama/llama-3.1-70b-instruct", MODEL_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free", MODEL_MISTRALAI_MISTRAL_NEMO = "mistralai/mistral-nemo", @@ -259,37 +261,34 @@ export enum E_OPENROUTER_MODEL { MODEL_GOOGLE_GEMMA_2_27B_IT = "google/gemma-2-27b-it", MODEL_GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free", MODEL_GOOGLE_GEMMA_2_9B_IT = "google/gemma-2-9b-it", - MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_20240620_BETA = "anthropic/claude-3.5-sonnet-20240620:beta", MODEL_ANTHROPIC_CLAUDE_3_5_SONNET_20240620 = "anthropic/claude-3.5-sonnet-20240620", MODEL_SAO10K_L3_EURYALE_70B = "sao10k/l3-euryale-70b", MODEL_COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X22B = "cognitivecomputations/dolphin-mixtral-8x22b", MODEL_QWEN_QWEN_2_72B_INSTRUCT = "qwen/qwen-2-72b-instruct", - MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free", MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT = "mistralai/mistral-7b-instruct", MODEL_NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b", + MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3", 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_GOOGLE_GEMINI_FLASH_1_5 = "google/gemini-flash-1.5", - MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", 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_META_LLAMA_LLAMA_3_70B_INSTRUCT = "meta-llama/llama-3-70b-instruct", + MODEL_OPENAI_GPT_4O_2024_05_13 = "openai/gpt-4o-2024-05-13", MODEL_META_LLAMA_LLAMA_3_8B_INSTRUCT = "meta-llama/llama-3-8b-instruct", + MODEL_META_LLAMA_LLAMA_3_70B_INSTRUCT = "meta-llama/llama-3-70b-instruct", MODEL_MISTRALAI_MIXTRAL_8X22B_INSTRUCT = "mistralai/mixtral-8x22b-instruct", MODEL_MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b", - MODEL_OPENAI_GPT_4_TURBO = "openai/gpt-4-turbo", MODEL_GOOGLE_GEMINI_PRO_1_5 = "google/gemini-pro-1.5", + MODEL_OPENAI_GPT_4_TURBO = "openai/gpt-4-turbo", MODEL_COHERE_COMMAND_R_PLUS = "cohere/command-r-plus", MODEL_COHERE_COMMAND_R_PLUS_04_2024 = "cohere/command-r-plus-04-2024", MODEL_SOPHOSYMPATHEIA_MIDNIGHT_ROSE_70B = "sophosympatheia/midnight-rose-70b", - MODEL_COHERE_COMMAND_R = "cohere/command-r", MODEL_COHERE_COMMAND = "cohere/command", - MODEL_ANTHROPIC_CLAUDE_3_HAIKU_BETA = "anthropic/claude-3-haiku:beta", + MODEL_COHERE_COMMAND_R = "cohere/command-r", MODEL_ANTHROPIC_CLAUDE_3_HAIKU = "anthropic/claude-3-haiku", - MODEL_ANTHROPIC_CLAUDE_3_OPUS_BETA = "anthropic/claude-3-opus:beta", MODEL_ANTHROPIC_CLAUDE_3_OPUS = "anthropic/claude-3-opus", MODEL_COHERE_COMMAND_R_03_2024 = "cohere/command-r-03-2024", MODEL_MISTRALAI_MISTRAL_LARGE = "mistralai/mistral-large", @@ -312,6 +311,6 @@ export enum E_OPENROUTER_MODEL { MODEL_UNDI95_REMM_SLERP_L2_13B = "undi95/remm-slerp-l2-13b", MODEL_GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b", MODEL_OPENAI_GPT_3_5_TURBO = "openai/gpt-3.5-turbo", - MODEL_OPENAI_GPT_4_0314 = "openai/gpt-4-0314", - MODEL_OPENAI_GPT_4 = "openai/gpt-4" + MODEL_OPENAI_GPT_4 = "openai/gpt-4", + MODEL_OPENAI_GPT_4_0314 = "openai/gpt-4-0314" } \ No newline at end of file diff --git a/packages/kbot/src/utils/input.ts b/packages/kbot/src/utils/input.ts index 8ed64df5..bcf5d523 100644 --- a/packages/kbot/src/utils/input.ts +++ b/packages/kbot/src/utils/input.ts @@ -68,7 +68,7 @@ export const resolveQuery = async (options: IKBotOptions): Promise => { } if (options.prompt) { - const queryPath = resolve(path.resolve(options.prompt) || ''); + const queryPath = path.resolve(resolve(options.prompt,options.alt)) || ''; if (exists(queryPath) && isFile(queryPath)) { const fileContent = read(queryPath, 'buffer') as Buffer; try {