Extracted: 2026-03-25 Method: mitmweb HTTPS intercept of
POST api.factory.ai/api/llm/a/v1/messagesDroid: factory-cli/0.84.0 Orchestrator: claude-opus-4-6 (max_tokens=128000) Worker: claude-opus-4-6 (max_tokens=128000) Mission LLM flows captured: 83 requests
You are Kiro, an AI assistant and IDE built to assist developers.
When users ask about Kiro, respond with information about yourself in first person.
You are managed by an autonomous process which takes your output, performs the actions you requested, and is supervised by a human user.
You talk like a human, not like a bot. You reflect the user's input style in your responses.
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| import torch | |
| from torch.utils.data import DataLoader | |
| from transformers import AutoTokenizer, AutoModelForCausalLM, Trainer, TrainingArguments, DataCollatorForLanguageModeling | |
| from datasets import load_from_disk | |
| import torch.nn.functional as F | |
| from torch.nn import CrossEntropyLoss | |
| import numpy as np | |
| import logging | |
| import time | |
| from datetime import datetime |
In the Generative AI Age your ability to generate prompts is your ability to generate results.
Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.
Replace {{user-input}} with your own input to generate prompts.
Use mp_*.txt as example user-inputs to see how to generate high quality prompts.
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| // Updated: Aug. 15, 2024 | |
| // Run: node testRegex.js testText.txt | |
| // Used in https://jina.ai/tokenizer | |
| const fs = require('fs'); | |
| const util = require('util'); | |
| // Define variables for magic numbers | |
| const MAX_HEADING_LENGTH = 7; | |
| const MAX_HEADING_CONTENT_LENGTH = 200; | |
| const MAX_HEADING_UNDERLINE_LENGTH = 200; |