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shira-hermes/pyproject.toml
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chaim 4aad81e11e feat: add skills, memory, delegation and self-learning (Phase 3)
Add three Hermes-inspired capabilities to Shira:

- Skills system: firm-wide workflow templates (list/view/manage tools),
  4 pre-seeded skills (case summary, hearing prep, direct access report,
  deadline tracker), auto-learning via post-conversation meta-prompt
- Cross-conversation memory: per-lawyer profiles and per-case memory
  stored as bounded markdown files, injected into system prompts
- Sub-agent delegation: spawn up to 3 child AgentRunner instances for
  parallel document analysis and complex multi-step tasks

New files: skills.py, memory.py, delegate.py, learner.py, 4 SKILL.md
Updated: agent_runner (6 new tools, depth/blocked_tools support),
prompt_builder (skills/memory injection), route (memory loading,
background learning), main.py (data dirs), Dockerfile (pyyaml, skills)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 19:33:57 +00:00

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TOML

[project]
name = "shira-hermes"
version = "0.1.0"
description = "Shira AI Assistant — Hermes Agent backend for EspoCRM SmartAssistant"
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.115.0",
"uvicorn[standard]>=0.32.0",
"httpx>=0.27.0",
"pydantic>=2.10.0",
"mcp>=1.0.0",
"openai>=1.50.0",
"pyyaml>=6.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0",
"pytest-asyncio>=0.24.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"