- Add NSFW/privacy boolean fields to models (providers.json, rotations.json, autoselect.json)
- Implement content classification using last 3 messages for performance
- Add semantic classification with hybrid BM25 + sentence-transformer re-ranking
- Update autoselect handler to support classify_semantic flag
- Add new semantic_classifier.py module with hybrid search capabilities
- Update dashboard templates to manage new configuration fields
- Update documentation (README.md, DOCUMENTATION.md) with new features
- Bump version to 0.6.0 in pyproject.toml and setup.py
- Add new dependencies: sentence-transformers, rank-bm25
- Update package configuration for PyPI distribution

- Added Kiro AWS Event Stream parsing and converters
- Added TOR hidden service support
- Added MCP server endpoint
- Added credential validation for kiro/kiro-cli
- Added various Python 3.13 compatibility fixes
- Added intelligent 429 rate limit handling
- Updated venv handling and auto-update features

- Added Unreleased section for OpenRouter fields implementation
- Added web dashboard documentation updates
- Documented Model class fixes for API compatibility

- Added screenshot.png reference at top of README
- Added Web Dashboard section describing features
- Includes dashboard access information and default credentials

- Added description, context_length, architecture, pricing, top_provider, supported_parameters, and default_parameters fields
- Fixes crash when returning model data through API with OpenRouter metadata
- Aligns Model class with ProviderModelConfig, RotationConfig, and AutoselectConfig

- Add aisbf/kiro_parsers.py: AWS Event Stream parser for Kiro API responses
- Update kiro_converters_openai.py: Add build_kiro_payload_from_dict function
- Update kiro_converters.py: Minor fixes
- Update kiro_auth.py: Add AWS SSO OIDC authentication support
- Update handlers.py: Enhance streaming and error handling
- Update main.py: Add proxy headers middleware and configuration
- Update setup.py: Add version bump
- Add TODO.md: Comprehensive roadmap for caching and performance improvements

Features:
- Kiro AWS Event Stream parsing for non-streaming responses
- OpenAI-to-Kiro payload conversion
- AWS SSO OIDC authentication for Kiro
- Proxy headers middleware for reverse proxy support
- TODO roadmap with prioritized items for future development

- Avoid calling parser.get_tool_calls() during streaming loop
- Only call get_tool_calls() after all chunks are processed
- Send tool calls in separate chunk after content streaming completes
- Prevents empty arguments issue caused by premature finalization

- Updated validate_kiro_credentials() to handle both dict and object config access
- Added get_config_value() helper function for flexible config access
- Now correctly detects kiro-cli credentials from SQLite database
- Validation now works out of the box when kiro-cli is installed

- Added validate_kiro_credentials() function to check credential availability
- Validates kiro IDE credentials from ~/.config/Code/User/globalStorage/amazon.q/credentials.json
- Validates kiro-cli credentials from ~/.local/share/kiro-cli/data.sqlite3
- Integrated validation into get_provider_models() to exclude providers without credentials
- Added validation checks to all request endpoints (chat, audio, images, embeddings)
- Providers only appear in model listings and accept requests when credentials are valid
- Returns HTTP 403 when credentials are missing or invalid

- Updated base.html to use request.session instead of session
- Resolves jinja2.exceptions.UndefinedError: 'session' is undefined
- Completes Python 3.13 compatibility fix

- Create venv with --system-site-packages flag to access system aisbf
- Remove redundant aisbf package installation in venv
- Venv now only contains requirements.txt dependencies
- On upgrade detection, only update requirements.txt dependencies
- System-installed aisbf package is automatically accessible in venv

- Removed redundant 'session' parameter from all template responses
- request.session is already accessible in templates via request object
- Fixes TypeError: unhashable type: 'dict' in Jinja2 cache with Python 3.13

- Added check_package_upgrade() function to detect when aisbf package is upgraded
- Modified ensure_venv() to automatically update venv when package upgrade is detected
- Version tracking using .aisbf_version file in venv directory
- Ensures venv stays in sync with pip-installed package version

- Add button to easily create persistent hidden service directory
- Automatically fills in default path (~/.aisbf/tor_hidden_service)
- Includes confirmation dialog if path already exists
- Visual feedback on button click

- Add full TOR hidden service support for exposing AISBF over TOR network
- Create aisbf/tor.py module with TorHiddenService class
- Add TorConfig model to config.py for TOR configuration
- Update config/aisbf.json with TOR settings
- Integrate TOR service into main.py with startup/shutdown handlers
- Add TOR configuration UI to dashboard settings with real-time status
- Add get_tor_status MCP tool for monitoring TOR service
- Update README.md and DOCUMENTATION.md with TOR guides
- Add stem library dependency to requirements.txt
- Bump version to 0.5.0 in pyproject.toml
- Support both ephemeral and persistent hidden services
- All AISBF endpoints accessible over TOR network

- Add MCP features to README.md key features
- Add MCP configuration section to dashboard settings page
- Add MCP form handling in main.py dashboard_settings_save
- Add comprehensive MCP documentation to API_EXAMPLES.md

- Implement MCP server module (aisbf/mcp.py) with SSE and HTTP stream support
- Add two authentication levels: autoselect-only and fullconfig
- Add MCP configuration to config/aisbf.json (disabled by default)
- Add MCP endpoints to main.py: GET/POST /mcp, GET /mcp/tools, POST /mcp/tools/call
- Both token types give access to standard APIs (list_models, chat_completion)
- autoselect_tokens: access to autoselection/autorotation settings
- fullconfig_tokens: access to full system configuration including providers

This allows remote agents to configure the system and/or just the
autoselections/rotations, as well as make requests for models.

Proxy-Awareness:
- Added ProxyHeadersMiddleware to detect and handle reverse proxy headers
- Implemented get_base_url() and url_for() helper functions for proxy-aware URL generation
- Updated all RedirectResponse calls to use url_for()
- Updated templates/base.html to use url_for() for all links and fetch calls
- Added comprehensive nginx proxy configuration examples to DOCUMENTATION.md
- Supports X-Forwarded-Proto, X-Forwarded-Host, X-Forwarded-Port, X-Forwarded-Prefix, X-Forwarded-For headers
- Application now fully supports deployment behind reverse proxies with subpaths

Configurable Error Cooldown:
- Added error_cooldown field to Model class in aisbf/models.py
- Added error_cooldown to ProviderModelConfig in aisbf/config.py
- Added default_error_cooldown to ProviderConfig in aisbf/config.py
- Added default_error_cooldown to RotationConfig in aisbf/config.py
- Updated BaseProviderHandler.record_failure() in aisbf/providers.py to use cascading cooldown configuration
- Cooldown configuration follows cascading pattern: model-specific > provider default > system default (300 seconds)
- Updated DOCUMENTATION.md with error_cooldown configuration examples
- Updated AI.PROMPT with error_cooldown documentation

Both features are fully documented and ready for production use.

- Updated Key Features section to mention Kiro (Amazon Q Developer) alongside other providers
- Ensures Kiro is prominently featured in the project overview

- Updated README.md to list Kiro (Amazon Q Developer / AWS CodeWhisperer) as a supported provider
- Updated DOCUMENTATION.md Provider Support section with Kiro details
- Kiro provider uses native authentication (IDE credentials or CLI)
- Supports Claude models through Kiro with streaming, tool calling, and extended thinking

- Deleted KIRO_GATEWAY.md and KIRO_INTEGRATION.md
- AISBF has native Kiro support built-in via KiroProviderHandler
- No need for external kiro-gateway integration documentation

- Removed vendor/kiro-gateway submodule/directory as Kiro support is fully integrated into AISBF
- Updated KIRO_GATEWAY.md to reference external GitHub repository (https://github.com/jwadow/kiro-gateway)
- Updated AI.PROMPT to remove vendor directory reference
- Kiro integration remains fully functional through KiroProviderHandler

- Add bs4 to requirements.txt (required by debgpt)
- Pin protobuf to >=3.20,<4 to fix compatibility with electrum
- Resolves dependency conflicts

- Add pip_install() function that detects externally-managed-environment errors
- Automatically retry with --break-system-packages flag when needed
- Improves compatibility with modern Linux distributions that use PEP 668

- Implement intelligent 429 rate limit parsing in providers
  - Parse Retry-After and X-RateLimit-Reset headers
  - Extract wait time from response body fields
  - Parse error messages for time patterns
  - Automatically disable providers for exact duration specified

- Update aisbf.sh to read port from config file dynamically
  - Add get_port() function to parse aisbf.json
  - Remove hardcoded port 17765
  - Show port number when starting server

- Implement SHA256 password hashing for dashboard
  - Store password as hash in aisbf.json
  - Hash passwords during login validation
  - Hash passwords when updating settings

- Add templates to package distribution
  - Update setup.py to include dashboard templates
  - Update MANIFEST.in (already included templates)
  - Add aisbf.json to package

- Update documentation
  - Add OpenAI-compatible v1 endpoints to README
  - Add dashboard endpoints documentation
  - Create comprehensive API_EXAMPLES.md with examples in cURL, Python, and JavaScript

- Add GPL license headers to all template files
  - HTML templates in templates/ directory
  - JavaScript code in templates/base.html

All changes maintain backward compatibility while adding new features.

- Added jinja2 and itsdangerous dependencies to requirements.txt
- Created templates directory with base layout and dashboard pages
- Implemented login/logout with session-based authentication
- Added dashboard overview page showing server stats
- Added configuration editors for:
  - Providers (providers.json)
  - Rotations (rotations.json)
  - Autoselect (autoselect.json)
  - Condensation prompts (markdown files)
  - Server settings (aisbf.json)
- Dashboard accessible at /dashboard with configurable username/password
- Session middleware with secure random secret key
- Authentication middleware skips dashboard routes
- All config changes saved to ~/.aisbf/ directory
- Dashboard config loaded from aisbf.json (username, password)
- Default credentials: admin/admin

- Changed default port from 8000 to 17765 in config and code
- Added command-line argument parsing with argparse
- Added --config flag to specify custom config directory
- Added --host, --port flags to override config file settings
- Added --https, --ssl-cert, --ssl-key flags for HTTPS configuration
- Added --no-auth flag to disable authentication
- CLI arguments take precedence over config file
- Updated config.py to support custom config directories via AISBF_CONFIG_DIR env var
- Config and handlers are now initialized after CLI parsing to support --config flag

- Added example tokens array to demonstrate client authentication
- When auth.enabled is true, clients must use Bearer token in Authorization header
- Tokens are validated against the tokens array in aisbf.json

- Add HTTPS support with auto-generated self-signed certificates
- Add API token authentication middleware
- Update aisbf.json with protocol, SSL, and auth configuration
- Add system prompt loading method to ContextManager
- Update main() to support SSL certificates
- Add authentication check middleware for API endpoints

- Add max_context field to CondensationConfig
- Support 'internal' keyword for local HuggingFace model in condensation
- Add internal model initialization with temperature=0.3, top_p=0.8, repeat_penalty=1.1
- Create condensation system prompts (conversational, semantic)
- Add aisbf.json for server configuration (host, port, dashboard auth)
- Update main.py to read server config from aisbf.json
- Update providers.json with max_context example for condensation

- Changed autoselect prompt from single user message to system+user split
- System message contains the skill instructions
- User message contains the prompt and model list
- Set temperature to 0 for deterministic selection
- Added stop parameter: </aisbf_model_autoselection>
- Updated internal model handling to combine messages

- Centralized API key storage in providers.json only
- Added support for provider-only rotation entries (auto-selects random model)
- Added default settings hierarchy at provider and rotation levels
- Limited autoselect selection context to 10 messages or 8000 tokens
- Added support for direct provider models in autoselect (rotation/provider/model)
- Added 'internal' keyword for local HuggingFace model selection
- Updated requirements.txt with torch and transformers

- Integrated complete kiro-gateway conversion pipeline (1,522 lines)
- Added multi-source authentication (Kiro IDE, kiro-cli, env vars)
- Implemented full OpenAI <-> Kiro format conversion
- Added support for tools/function calling
- Added support for images/multimodal content
- Implemented message merging, validation, and role normalization
- Added KiroAuthManager for automatic token refresh
- Created comprehensive conversion modules:
  - aisbf/kiro_converters.py (core conversion logic)
  - aisbf/kiro_converters_openai.py (OpenAI adapter)
  - aisbf/kiro_models.py (data models)
  - aisbf/kiro_auth.py (authentication)
  - aisbf/kiro_utils.py (utilities)
- Updated KiroProviderHandler with full conversion pipeline
- Added kiro_config support to ProviderConfig
- Updated providers.json with clean Kiro examples
- Added comprehensive documentation (KIRO_INTEGRATION.md)
- Implemented model name prefixing across all providers (provider_id/model)

No external kiro-gateway server needed - all functionality built-in.