chaim
4aad81e11e
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>
22 lines
550 B
Bash
22 lines
550 B
Bash
# shira-hermes configuration
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PORT=3000
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# Authentication — same key used by SmartAssistant to call this service
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API_KEY=
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# ai-gateway — OAuth proxy to Claude (internal Docker network)
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AI_GATEWAY_URL=http://ai-gateway:3000
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AI_GATEWAY_API_KEY=
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# Claude model (passed through to ai-gateway)
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CLAUDE_MODEL=sonnet
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MAX_OUTPUT_TOKENS=4096
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MAX_AGENT_ITERATIONS=10
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# EspoCRM — for MCP tools
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ESPOCRM_URL=https://espocrm.dev.marcus-law.co.il
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ESPOCRM_API_KEY=
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# Data directory — persistent volume for skills, memory, profiles
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SHIRA_DATA_DIR=/opt/data
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