feat: SSML emotional TTS, agent avatars, AgentChat UX overhaul, virtual company enhancements
- SSML TTS with emotional styles (_build_ssml, mstts:express-as) and natural pauses - Agent avatar support: DB migration, API, frontend emoji/URL rendering - AgentChat UX: highlight.js code blocks, copy buttons, streaming cursor, char count, auto-title, keyboard shortcuts, message feedback (thumbs), undo delete, mobile responsive - Virtual company: M2 control, tier-3/4 capabilities, per-dept session fix, deliverable validator, insight analyzer enhancements - New services: agent_profiler, deliverable_validator, redis_task_registry - Android: auth refactor, launcher icons, network security config, update manager - Frontend: useSpeechQueue composable, Agents/AgentConfig/AgentTest enhancements - Various backend fixes and expanded test coverage Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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backend/alembic/versions/028_add_agent_avatar.py
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backend/alembic/versions/028_add_agent_avatar.py
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"""add agent avatar column
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Revision ID: 028_add_agent_avatar
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Revises: d684c9b30c1c
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Create Date: 2026-07-31
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = '028_add_agent_avatar'
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down_revision = 'd684c9b30c1c'
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.add_column('agents', sa.Column('avatar', sa.Text, nullable=True, comment='头像(emoji 或图片URL)'))
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def downgrade() -> None:
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op.drop_column('agents', 'avatar')
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