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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marco
2026-09-03 16:11:46 -03:00
commit e489b6a2e2
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# Telegram Configuration
TELEGRAM_BOT_TOKEN=8738025926:AAFMomYI4GYUuUv86XpaaoVpctr2GgqBGto
TELEGRAM_CHAT_ID=7889499475
# Default AI Model
DEFAULT_MODEL=inclusionai/ling-3.0-flash
# OpenRouter Configuration
OPENROUTER_API_KEY=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
OPENROUTER_API_URL=https://openrouter.ai/api/v1
# StepFun Configuration
STEPFUN_API_KEY=4RJZ4kHTbMNqWNn7IgahHF1kzcTi8zzUMv7YLQqjChCH5DftV2bSbGif1HllC44nv
STEPFUN_API_URL=https://api.stepfun.ai/step_plan/v1/
# QwenCloud Configuration
QWENCLOUD_API_KEY=
QWENCLOUD_API_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
# llama.cpp Configuration
LLAMA_CPP_API_URL=http://localhost:8080/v1
# Proactive Message Intervals (in minutes)
MIN_INTERVAL_MINUTES=60
MAX_INTERVAL_MINUTES=90
# Maximum conversation history length per context (messages)
MAX_HISTORY_LENGTH=50
# User profile file path
USER_PROFILE_FILE=user_profile.json
# Contexts directory path
CONTEXTS_DIR=contexts
# Minimum lines per agent message
MIN_MESSAGE_LINES=10
# Automatic profile enrichment: enrich every N messages (0 = disabled)
AUTO_ENRICH_EVERY=2
# Automatic system improvement: improve every N messages (0 = disabled)
AUTO_IMPROVE_ENABLED=true
AUTO_IMPROVE_EVERY=20