Changeset 0.9.4 (#54)
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@@ -45,6 +45,66 @@ Three Docker images support different deployment scenarios:
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5. **Capabilities Resolution**: Model capabilities (vision, tool calling, thinking, context window) are resolved through a priority chain: catalog DB (provider API sync, per-provider authoritative) → heuristic inference (regex patterns on model ID). No static model table — the same model can have different capabilities on different providers. The catalog is populated by auto-fetch on provider creation and manual refresh.
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6. **Channels as Execution Context**: Channels are the universal container for conversation state — messages, tool activity, notes, and artifacts all hang off a channel. Today channels are single-user direct chats. The architecture anticipates multi-participant channels (team members, anonymous visitors, AI personas) for workflow execution, without requiring changes to the message tree, tool framework, or streaming infrastructure.
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## Workflow Architecture (Future — v0.21.0+)
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The platform's existing primitives (teams, personas, channels, tools, notes)
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compose into a workflow engine where the channel is the execution context
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that moves through defined stages.
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### Conceptual Model
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```
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Team
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└─ Workflow (team-admin defined)
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├─ name, description
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├─ entry conditions (public link, team-internal, API trigger)
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└─ Stages[]
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├─ persona_id (which AI drives this stage)
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├─ assignment_team_id (who can be assigned)
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├─ form_template (structured note schema, optional)
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└─ transitions[] (conditions → next stage)
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Channel (workflow instance)
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├─ workflow_id + current_stage
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├─ participants[]
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│ ├─ anonymous visitor (mTLS fingerprint / session token)
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│ ├─ AI persona (per-stage, from workflow definition)
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│ └─ assigned team member (claimed or auto-routed)
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├─ messages (existing tree structure)
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├─ notes (channel-scoped artifacts, intake forms)
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└─ tool activity (existing execution framework)
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```
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### How Existing Primitives Map
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| Existing Primitive | Workflow Role |
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|-------------------|---------------|
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| **Persona** (system prompt + model) | Drives a workflow stage — the AI knows what to collect, when to route |
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| **Team** (members + roles) | Owns the workflow definition; members are assignable to channels |
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| **Channel** (messages + tree) | Execution instance of a workflow; full conversation history |
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| **Notes + Tools** | Structured data collection; the persona's system prompt *is* the form definition, the note *is* the filled form |
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| **EventBus + WebSocket** | Real-time notifications for assignment, stage transitions, new messages |
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### Design Constraints for Current Development
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These invariants keep the workflow path open without building it prematurely:
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- **Channels**: Don't assume single-owner. If touching channel queries, keep
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room for `team_id`, `type` (beyond `direct`), and multi-participant access
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patterns alongside `user_id`.
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- **Notes**: Currently user-scoped. Future channel-scoped notes (attached to
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a conversation, not a personal notebook) need a `channel_id` FK option.
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- **Personas**: Already team-scoped. Don't couple to "user picks from dropdown"
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— a workflow stage references a persona programmatically.
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- **Tool ExecutionContext**: Already carries `UserID` + `ChannelID`. Will need
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`TeamID` and `WorkflowID` — the struct is easily extended.
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- **Auth**: mTLS anonymous users need identity to participate in channels.
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Lightest version: a `participants` table that can reference a `user_id` or
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an opaque session identifier (cert fingerprint). Don't assume every channel
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participant has a row in `users`.
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## Package Structure
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```
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