Introduce a custom greeting message tailored specifically for the user's favorite jew, enhancing the personalization of the user interface by directly addressing the individual with a warm and affectionate tone.
Introduce a new proxy module with rate limiter that enforces per-IP token bucket throttling using configurable constants for port, requests per second, burst size, and HTTP status codes. Refactor RateLimiter to use float-based token tracking and centralized constants, replace magic numbers with named constants (TOKEN_COST, HTTP_TOO_MANY_REQUESTS, etc.), and add delimiter and content-type constants for HTTP response construction.
The install_hook function now writes both pre-commit and prepare-commit-msg hooks, passing the hook mode as an argument to the script. The HOOK_PATH constant is replaced with separate paths for each hook, and a TEMP_MSG_FILE constant is introduced for generated commit message storage.
Add a new tool execution subsystem that allows the system to invoke external tools (e.g., shell commands, APIs, scripts) to complete complex user requests. This includes a tool registry, execution sandbox, result parsing, and integration with the main task pipeline. The change spans 2 files and 537 lines, with the core logic in Python and documentation in Markdown.
Add Elon class with tool-calling loop, vision analysis, web search, and file I/O capabilities. The agent uses a JSON-based function call protocol to chain operations like search, fetch, analyze, and act without human intervention. Includes system prompt enforcing strict JSON-only responses and multi-step task decomposition.
- Add CHANGELOG entry for version 0.5.0 documenting new chroot container feature
- Rename ambiguous variables in tokenizer.py (word→current_word, word_start→word_start_position, etc.)
- Standardize string quotes from single to double in argparse arguments
- Normalize whitespace in comments and remove trailing spaces
Introduce a comprehensive test suite for the HTTP library, including HTTPS GET requests to multiple endpoints (httpbin, jsonplaceholder, GitHub API, example.com) with timing and response preview, plus POST request testing with JSON payloads. The suite also adds a utility function for millisecond-precision timing and response length reporting.
Adds a new search module that queries the DuckDuckGo Instant Answer API, parses JSON responses into structured result objects, and handles network errors and empty results gracefully. Includes unit tests for the parser and integration test for the full search flow.
Add core data structures and algorithms for modeling city-scale systems at the molecular level, including particle-based building blocks, self-assembly protocols, and energy distribution networks operating at sub-micrometer precision.
Implement a new asynchronous Gitea API client module (gitea_client.py) using aiohttp, providing methods for repository CRUD operations and issue tracking (create, update, close). The client supports OAuth2 token authentication, optional TOTP MFA header, sudo impersonation, and paginated responses for listing endpoints. Also refactor http.h to remove auth.h dependency, add chunked content support with INITIAL_BUFFER_SIZE and MAX_HEADER_SIZE defines, merge create_context and create_context2 into single function with SSL_VERIFY_NONE option, and replace exit() calls with graceful error returns in socket creation.
Implement a new AutonomousBot class in botje.py that uses the OpenAI API to decompose and execute complex tasks. The bot supports tool-based function calling including file creation, shell command execution, and state management via a persistent memory list. Includes ANSI-colored console output, argparse-based CLI with prompt and memory file options, and a main loop that continues until the bot signals completion.
Add comprehensive markdown guide explaining conceptual foundations of persona-driven fine-tuning, including limits of prompting and RAG for character emulation. Include accompanying Python script implementing text-to-JSONL conversion and Mistral fine-tuning pipeline with Hugging Face Transformers.
- Extend portscan's check_port to return service banners alongside open port status
- Update scan_ip and full_scan to propagate banner data in open_ports tuples
- Add _DEFAULT_COLUMNS constant and _get_table_columns caching to AsyncDataSet
- Implement _invalidate_column_cache method for schema change tracking
- Add OpenAPIFormatter class with methods for parsing OpenAPI specs
- Implement extract_endpoints to list all API paths with methods and summaries
- Add get_request_body_schema and get_parameters for detailed endpoint introspection
- Include resolve_schema_ref for handling $ref references in schema definitions
- Support async HTTP fetching of specs via aiohttp with configurable timeout
The change shortens the artificial delay in test_upsert_update and test_update methods
within TestAsyncDataSet, lowering the wait from 2 seconds to 1.1 seconds to speed up
test execution while still allowing asynchronous operations to complete.
- Add automatic `updated_at` timestamp to args in `upsert` method
- Add missing `asyncio.sleep(2)` in `test_upsert_update` to ensure timestamp difference
- Implement `asyncSetUp` and `asyncTearDown` for proper test database lifecycle
- Add comprehensive test methods for insert, get, update, and upsert operations
- Import missing type annotations for better code clarity
Implement a complete 3D city exploration environment using Three.js, featuring a sky-blue fogged scene, first-person camera controls with pointer lock, WASD/arrow key movement, and dynamic shadow mapping. The scene includes ambient and directional lighting, a ground plane, and procedurally generated building structures with varied heights and colors.
Implement a new docker_volume_monitor.py module that uses the Docker SDK to inspect running containers, retrieve volume sizes via the inspect API, and automatically stop containers when any mounted volume exceeds a configurable 1GB threshold, with a dry-run flag for safe testing.
- Add core WordleBot class with methods for generating guesses and processing color-coded feedback
- Implement letter frequency analysis and candidate word filtering based on previous guesses
- Include support for hard mode constraints and optimal guess selection strategy
Implement a fully-featured asynchronous Python client for the Open WebUI HTTP API using aiohttp. The client supports Bearer/JWT authentication, model listing, chat completions with optional server-side streaming, Ollama proxy helpers (generate, list tags, embed), and RAG utilities for file upload and knowledge collection management. Includes async context manager for automatic session lifecycle, custom exception hierarchy (OpenWebUIError, APIResponseError), and 100% type-hinted production-ready code.
Implement a new vim_terminal_trainer.py module using curses for real-time character capture, auto-advancing on exact answer match, timer bar countdown, and persistent high-score storage in ~/.vim_terminal_trainer/score.json
Introduce a new regex.md document detailing the author's philosophy and approach to writing custom regex interpreters from scratch, emphasizing unique design over performance or external research.
Implement WordGenerator module in word_generator.py with a predefined syllable list, generate_word method producing configurable-length pseudo-random words by concatenating random syllables, and generate_unique_words method returning a specified count of distinct words via set deduplication, intended for human-friendly memorable identifiers.
Add two new files to the repository: disk_usage.sh provides a comprehensive disk analysis tool that displays overall usage, largest directories, files over 1GB, log file sizes, and large installed packages for both Debian and RPM-based systems. liebranca.py implements a Pinecone-based AI assistant named "liebranca2" with CLI chat interface and file upload functionality, configured to respond as the character Liebranca with specific personality instructions.
Introduce a new markdown file containing an AI-generated "Kiki dream" titled "The Clockwork Aurora", featuring surreal imagery of time rivers, floating islands, a silver-haired girl with a glowing pocket watch, and a labyrinth of frozen moments. The narrative explores themes of fractured time and cosmic clockwork mechanics.
Introduce repos.finddirty.py, a Python utility that scans a specified directory for Git repositories and reports those with uncommitted changes. The script uses pathlib for filesystem traversal, subprocess to execute git status commands, and sys for argument handling. It defines is_git_repo() to check for .git directories and is_dirty() to parse git status output for "tree clean" indicators, returning None for non-repo paths. Licensed under MIT.
Implement tokenizer.c containing is_valid_char helper and main function for reading text files, extracting alphanumeric words with dash/underscore support, and tracking word positions, line numbers, and paragraph counts across the input stream.
Updated the pricing documentation to reflect the new 2026 per-token costs for OpenAI's premium tier models, including GPT-5 Ultra and o3-max, with input/output rates of $150/$600 per million tokens respectively.
Introduce a new markdown file detailing usage-based fees for input and output tokens of OpenAI's highest-tier models, with specific per-token rates for GPT-4o and GPT-4o-2024-11-20, and a step-by-step methodology to convert abstract token pricing into human-understandable time-based costs for enterprise applications.
Added a new `stream_response` function that yields tokens incrementally by setting `stream=True` on the chat completion call and iterating over response chunks. The example now includes a `main` block that calls this function with a sample prompt, demonstrating real-time output for interactive use cases. Also fixed grammar and punctuation in docstrings, corrected the pip install package name from `openapi` to `openai`, and improved clarity of setup instructions.
Introduce a new 219-line example script that implements an Agent class for building AI agents using the OpenAI API. The script includes setup instructions, fake API credentials for educational purposes, async support via asyncio, and a full chat history tracking mechanism through the messages property.
Introduce a new file containing LLM-generated analysis of user rants, where each entry evaluates whether a given rant is spam and provides a contextual interpretation of the user's intent or emotional state.
Introduces a new env.py utility that loads a base64-decoded password from the SECRET environment variable when imported, and provides an interactive password-to-base64 conversion when run as a script.
Extend the Python IMAP usage documentation with a complete code example demonstrating SSL-based connection to an IMAP server, authentication, and listing of available mail folders. The example includes proper error handling and connection cleanup.
The documentation now includes a comprehensive guide covering data preparation, model architecture selection, hyperparameter tuning, and evaluation metrics for the pattern recognition training pipeline.
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