Jordan Ramos
8afff96bb5
Features: - Usage tracking system (usage_tracker.py) - Tracks input/output tokens per API call - Calculates costs with support for cache pricing - Stores data in usage_data.json (gitignored) - Integrated into llm_interface.py - Dynamic task scheduler reloading - Auto-detects YAML changes every 60s - No restart needed for new tasks - reload_tasks() method for manual refresh - Example cost tracking scheduled task - Daily API usage report - Budget tracking ($5/month target) - Disabled by default in scheduled_tasks.yaml Improvements: - Fixed tool_use/tool_result pair splitting bug (CRITICAL) - Added thread safety to agent.chat() - Fixed N+1 query problem in hybrid search - Optimized database batch queries - Added conversation history pruning (50 messages max) Updated .gitignore: - Exclude user profiles (memory_workspace/users/*.md) - Exclude usage data (usage_data.json) - Exclude vector index (vectors.usearch) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
20 lines
299 B
Plaintext
20 lines
299 B
Plaintext
# Core dependencies
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watchdog>=3.0.0
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anthropic>=0.40.0
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requests>=2.31.0
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# Hybrid search dependencies
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fastembed>=0.7.0
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usearch>=2.23.0
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numpy>=2.0.0
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# Adapter dependencies
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pyyaml>=6.0.1
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# Slack adapter (Socket Mode)
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slack-bolt>=1.18.0
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slack-sdk>=3.23.0
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# Telegram adapter
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python-telegram-bot>=20.7
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