feat: initial project setup with psagentia agent implementation
Add core Python agent with configuration management, environment setup, and deployment documentation. Includes user/agent profiles, startup scripts, and dependency management for the psagentia system.
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# Telegram Configuration
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TELEGRAM_BOT_TOKEN=8738025926:AAFMomYI4GYUuUv86XpaaoVpctr2GgqBGto
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TELEGRAM_CHAT_ID=7889499475
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# Default AI Model
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DEFAULT_MODEL=inclusionai/ling-3.0-flash
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# OpenRouter Configuration
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OPENROUTER_API_KEY=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
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OPENROUTER_API_URL=https://openrouter.ai/api/v1
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# StepFun Configuration
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STEPFUN_API_KEY=4RJZ4kHTbMNqWNn7IgahHF1kzcTi8zzUMv7YLQqjChCH5DftV2bSbGif1HllC44nv
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STEPFUN_API_URL=https://api.stepfun.ai/step_plan/v1/
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# QwenCloud Configuration
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QWENCLOUD_API_KEY=
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QWENCLOUD_API_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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# llama.cpp Configuration
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LLAMA_CPP_API_URL=http://localhost:8080/v1
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# Proactive Message Intervals (in minutes)
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MIN_INTERVAL_MINUTES=60
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MAX_INTERVAL_MINUTES=90
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# Maximum conversation history length per context (messages)
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MAX_HISTORY_LENGTH=50
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# User profile file path
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USER_PROFILE_FILE=user_profile.json
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# Contexts directory path
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CONTEXTS_DIR=contexts
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# Minimum lines per agent message
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MIN_MESSAGE_LINES=10
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# Automatic profile enrichment: enrich every N messages (0 = disabled)
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AUTO_ENRICH_EVERY=2
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# Automatic system improvement: improve every N messages (0 = disabled)
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AUTO_IMPROVE_ENABLED=true
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AUTO_IMPROVE_EVERY=20
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