- Add tool_call_buffer to accumulate JSON chunks across multiple LLM responses
- Handle incomplete tool call JSON that spans multiple chunks
- Convert SELECT...CASE/END SELECT to Rhai match expressions
- Fix NOT IN operator conversion to !in for IF conditions
Add error and warning logs to help diagnose why session tools are not
working in production. Logs now show:
- Number of tools loaded successfully
- Detailed error messages when tool loading fails
- Bot name lookup failures
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This loads and sends the available tools to the client when establishing
a WebSocket connection. Tools are loaded based on the bot configuration
and sent in the initial welcome message.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Changed default model from 'gpt-3.5-turbo' to 'DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf'
in bot message handler. This ensures the local llama-server receives the correct model
name and can process requests properly.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Escape format placeholders in designer_ai.rs ({{botname}})
- Remove undefined 'prefix' filter in drive_monitor
- Fix type mismatch in use_tool.rs (str vs &String)
- Remove unused TextExpressionMethods import
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Add Redis-based tracking to prevent start.bas from running repeatedly
when clicking suggestion buttons. start.bas now executes only once per
session with a 24-hour expiration on the tracking key.
- Add generic tool executor (ToolExecutor) for parsing and executing
tool calls from any LLM provider. Works with Claude, OpenAI, and
other providers that use standard tool calling formats.
- Update both start.bas execution paths (WebSocket handler and LLM
message handler) to check Redis before executing.
- Fix suggestion duplication by clearing suggestions from Redis after
fetching them.
- Add rate limiter for LLM API calls.
- Improve error handling and logging throughout.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Fix ConfigManager to treat 'none', 'null', 'n/a', and empty values as placeholders
and fall back to default bot's configuration instead of using these as literal values
- Fix ConfigManager to detect local file paths (e.g., .gguf, .bin, ../) and fall back
to default bot's model when using remote API, allowing bots to keep local model
config for local LLM server while automatically using remote model for API calls
- Fix get_default_bot() to return the bot actually named 'default' instead of
the first active bot by ID, ensuring consistent fallback behavior
- Add comprehensive debug logging to trace LLM configuration from database to API call
This fixes the issue where bots with incomplete or local LLM configuration would
fail with 401/400 errors when trying to use remote API, instead of automatically
falling back to the default bot's configuration from config.csv.
Closes: #llm-config-fallback
- Extract bot_name from WebSocket query parameters
- Look up bot_id from bot_name using database
- Pass bot_id to WebSocket message handler
- Use session's bot_id for LLM configuration instead of client-provided bot_id
- Fixes issue where client sends 'default' bot_id when accessing /edu
Major additions:
- Video editing engine with AI features (transcription, captions, TTS, scene detection)
- RBAC middleware and organization management
- Security enhancements (MFA, passkey, DLP, encryption, audit)
- Billing and subscription management
- Contacts management
- Dashboards module
- Learn/LMS module
- Social features
- Compliance (SOC2, SOP middleware, vulnerability scanner)
- New migrations for RBAC, learn, and video tables
- Fix match arms with identical bodies by consolidating patterns
- Fix case-insensitive file extension comparisons using eq_ignore_ascii_case
- Fix unnecessary Debug formatting in log/format macros
- Fix clone_from usage instead of clone assignment
- Fix let...else patterns where appropriate
- Fix format! append to String using write! macro
- Fix unwrap_or with function calls to use unwrap_or_else
- Add missing fields to manual Debug implementations
- Fix duplicate code in if blocks
- Add type aliases for complex types
- Rename struct fields to avoid common prefixes
- Various other clippy warning fixes
Note: Some 'unused async' warnings remain for functions that are
called with .await but don't contain await internally - these are
kept async for API compatibility.
This commit replaces all hardcoded message type integers (0, 1, 2, 3, 4,
5) with named constants from a new MessageType module, improving code
readability and maintainability across the codebase.
The commit adds a complete example environment configuration file
documenting all available settings for BotServer, including logging,
database, server, drive, LLM, Redis, email, and feature flags.
Also removes hardcoded environment variable usage throughout the
codebase, replacing them with configuration via config.csv or
appropriate defaults. This includes:
- WhatsApp, Teams, Instagram adapter configurations
- Weather API key handling
- Email and directory service configurations
- Console feature conditionally compiles monitoring code
- Improved logging configuration with library suppression
The sqlx database library has been removed from the project along with
associated database-specific code that was no longer being used. This
includes removal of various sqlx-related dependencies from Cargo.lock
and cleanup of database connection pool references.
