Chaim
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Six-phase upgrade of /training from a read-only dashboard into a full Style Studio for managing Daphna's style corpus. - Upload Sheet on /training: file → proofread preview → commit (no more CLI-only `upload-training` skill). - Rich corpus metadata: GET /api/training/corpus returns summary, outcome, key_principles, page_count, parties (regex), legal_citation, lessons_count. PATCH endpoint for chair edits. CorpusDetailDrawer with 4 tabs (details /content/lessons/patterns) replaces the bare table row. - LLM metadata enrichment: style_metadata_extractor + MCP tools (style_corpus_enrich, style_corpus_pending_enrichment) fill summary /outcome/key_principles via claude_session (free, host-side). - Per-decision lessons: new decision_lessons table + 4 REST endpoints + LessonsTab in drawer; hermes-curator now auto-posts findings as decision_lessons(source=curator). - Curator Portrait tab: prompt rendered with link to Gitea, recent curator findings, style_analyzer training prompts, propose-change form that writes proposals to data/curator-proposals/ for manual chair review (no auto-mutation of the agent file). - Style chat tab: SSE-streamed conversations with the style agent. New host-side pm2 service (legal-chat-service, port 8770) wraps claude CLI with stream-json + --resume continuation; FastAPI proxies via host.docker.internal. Zero API cost — uses chaim's claude.ai subscription. chat_conversations + chat_messages persist history. Architecture: keeps the existing rule that claude_session only runs on the host (not the container). The new legal-chat-service is the canonical bridge between the container and the local CLI for the chat feature; everything else (upload, metadata, lessons) stays within the container's existing capabilities. Audit script (scripts/audit_training_corpus.py) included for verifying which corpus rows still need enrichment. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
14 lines
608 B
Python
14 lines
608 B
Python
"""legal-chat-service — host-side SSE bridge to ``claude`` CLI.
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Runs as a pm2-managed process on the host (port 127.0.0.1:8770 by default).
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The legal-ai FastAPI container proxies chat requests to it via
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``host.docker.internal:8770``.
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Why a separate service:
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The chat needs real-time streaming + multi-turn session continuation
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(``claude --resume <session_id>``). The container can't run the
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claude CLI (no binary, no claude.ai credentials). Splitting this out
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keeps the architectural rule of ``claude_session.py`` intact while
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enabling the new chat feature for free (no API key).
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"""
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