872ed24f0c
Inspired by zeroclaw's lightweight patterns for slow hardware: - Response cache (SQLite + SHA-256 keyed) to skip redundant LLM calls - History compaction — LLM-summarize old messages when history exceeds 50 - Query classifier routes simple/research queries to cheaper models - Credential scrubbing removes secrets from tool output before sending to LLM - Cost tracker with daily/monthly budget enforcement (SQLite) - Resilient provider with retry + exponential backoff + fallback provider - Approval engine gains session "always allow" and audit log Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
691 B
TOML
31 lines
691 B
TOML
[project]
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name = "xtrm-agent"
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version = "0.1.0"
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description = "Multi-agent AI automation system with shared bus and specialized roles"
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requires-python = ">=3.12"
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dependencies = [
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"anthropic>=0.79.0",
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"litellm>=1.60.0",
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"discord.py>=2.6.0",
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"mcp>=1.0.0",
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"typer>=0.15.0",
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"rich>=13.0.0",
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"prompt-toolkit>=3.0.0",
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"pydantic>=2.0.0",
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"pydantic-settings>=2.0.0",
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"pyyaml>=6.0",
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"httpx>=0.28.0",
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"loguru>=0.7.0",
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"json-repair>=0.30.0",
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"duckduckgo-search>=7.0.0",
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"pypdf>=5.0.0",
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"aiosqlite>=0.20.0",
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]
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[project.scripts]
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xtrm-agent = "xtrm_agent.main:app"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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