feat: SSH dev routing, model registry UX, chat input toolbar, doc sync
Backend / infrastructure:
- cortex/tools/_projects.py (new): shared project alias registry with ssh_host
for workstation projects (aether_api, aether_frontend, aether_container)
- cortex/tools/git.py: all git tools route to workstation via SSH when ssh_host set
- cortex/tools/aider.py: aider_run SSH-routes to workstation using bash -l -c
- cortex/routers/local_llm.py: POST /api/models/{id}/edit AJAX endpoint — save
model edits without page reload or tab reset; returns JSON {ok, label, model_name}
- cortex/llm_client.py: remove Gemini CLI and Claude CLI backends; clean up
fallback chain and process group tracking (continuation of Gemini CLI removal)
- cortex/routers/auth.py: strip Claude/Gemini CLI auth status checks (CLI removed)
- cortex/routers/chat.py: remove legacy claude/gemini backend fields
- cortex/config.py: clean up CLI-related settings
- cortex/main.py: remove CLI lifecycle hooks
UI:
- cortex/static/local_llm.html: model edit forms now save via fetch() + toast;
stay on Models tab; update row header label in place on success
- cortex/static/index.html: restructure input area to column layout — textarea
above, compact toolbar below (Chat/Tools/Attach + Send); fixes dead space at
M/L/XL sizes; context panel "Role" → "Model" section label
- cortex/static/style.css: column input-area layout; #input-toolbar; flex:1 →
width:100% on textarea (fixes scrollHeight in column flex context); compact
send/stop button padding
- cortex/static/app.js: add XL (720px) to height cycle; default M (240px)
Docs:
- cortex/static/HELP.md: S/M/L → S/M/L/XL; add Rebuild to distill table; fix
"Role selector" references (no such UI); fix "your active role" → Chat role;
fix ⚡ toggle description; Model Registry section cleanup
- documentation/ARCH__BACKENDS.md: reflect CLI removal, current backend state
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -1,20 +1,21 @@
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# Architecture: LLM Backends
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> How Cortex selects and talks to AI models.
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> Last updated: 2026-05-06
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> Last updated: 2026-06-18
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---
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## Providers
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Cortex supports four model types, each dispatched differently:
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Cortex supports two model types, each dispatched differently:
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| Type | Auth | Use |
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|---|---|---|
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| `claude_cli` | OAuth token from `~/.claude/.credentials.json` | Chat, persona responses |
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| `gemini_cli` | Gemini CLI credentials | Chat fallback / explicit selection |
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| `gemini_api` | API key from registry account or `.env` | Orchestrator tool loop |
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| `local_openai` | API key per host in model registry | Open WebUI, Ollama, OpenRouter, LiteLLM, etc. |
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| `local_openai` | API key per host in model registry | Open WebUI, Ollama, OpenRouter, LiteLLM, any OpenAI-compatible endpoint |
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| `anthropic_api` | API key in model registry (Anthropic cloud provider) | Claude models via Anthropic SDK |
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The Gemini API (`gemini_api`) is a third type used exclusively by the orchestrator engine —
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it is not dispatched through `llm_client.py` and is not available for chat/distill roles.
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---
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@@ -22,40 +23,36 @@ Cortex supports four model types, each dispatched differently:
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### Default: Role-Based Routing (Auto)
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When no explicit backend is selected, Cortex routes to the model configured for the
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request's **role** in the user's model registry. Roles: `chat`, `orchestrator`, `distill`,
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`coder`, `research` (extensible via `DEFINED_ROLES` in `.env`).
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All routing goes through the user's model registry. When a request arrives, `complete()` in
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`llm_client.py` resolves the model for the given role:
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Resolution order for a role:
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1. User registry: `roles[role].primary → backup_1 → backup_2 → backup_3 → backup_4`
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2. `.env` role default: `ROLE_CHAT=claude_cli`, `ROLE_DISTILL=claude_cli`, etc.
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3. Hardcoded last-resort: `chat/distill/coder → claude_cli`, `orchestrator/research → gemini_api`
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### Explicit Override
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The **Role** toggle in the Context & Memory panel cycles through configured role slots for the `chat` role: **Primary → Backup 1 → Backup 2 → auto**.
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- Each slot shows the configured model label
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- `auto` uses the Primary without forcing a specific backend type
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- The ⚡ Tools toggle is independent — it routes to the `orchestrator` role regardless of the chat role selection
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**Fallback chain** (automatic, only when no explicit registry entry exists):
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```
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claude → gemini
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gemini → claude
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local → claude
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slot specified → resolve that exact slot (primary / backup_1 / backup_2)
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no slot → get_model_for_role(username, role)
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no registry entry → RuntimeError: "No model configured for role '...'"
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```
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When a model is explicitly configured in the registry, errors surface immediately — no silent fallback.
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Each response shows a model tag (bottom-right of the message bubble) with the model label and host.
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Roles: `chat`, `orchestrator`, `distill`, `janitor`, `coder`, `research` (extensible via
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`DEFINED_ROLES` in `.env`).
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There is no implicit fallback to a built-in model. If no model is configured for a role,
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the request fails with a clear error directing the user to `/settings/models`.
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### Explicit Slot Selection
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The **Role** toggle in the Context & Memory panel cycles through configured role slots:
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**Primary → Backup 1 → auto**. Each slot resolves the configured model for that position.
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When a model is explicitly configured (via slot or registry entry), errors surface
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immediately — no silent fallback to another backend.
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---
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## Model Registry — V2 Schema
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## Model Registry Schema
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Per-user configuration stored in `home/{user}/model_registry.json`.
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Managed at **Settings → Models** (`/settings/models`). Full provider UI coming in Phase 2.
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Managed at **Settings → Models** (`/settings/models`).
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```json
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{
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@@ -64,7 +61,7 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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"providers": {
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"anthropic": {
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"credentials": [
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{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}
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{"id": "key1", "label": "My Anthropic Key", "type": "api_key", "api_key": "sk-ant-..."}
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]
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},
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"google": {
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@@ -77,6 +74,13 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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"hosts": [
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{
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"id": "abc123",
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"label": "OpenRouter",
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"api_url": "https://openrouter.ai/api/v1",
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"api_key": "sk-or-...",
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"host_type": "openai"
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},
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{
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"id": "def456",
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"label": "Gaming Laptop",
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"api_url": "http://192.168.x.x:3000",
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"api_key": "",
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@@ -87,23 +91,22 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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"models": [
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{
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"id": "m1",
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"type": "claude_cli",
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"label": "Sonnet 4.6 (CLI)",
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"model_name": "claude-sonnet-4-6",
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"provider": "anthropic",
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"credential_id": "cli",
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"type": "local_openai",
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"label": "Claude Sonnet 4.6 (OpenRouter)",
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"model_name": "anthropic/claude-sonnet-4-6",
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"host_id": "abc123",
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"context_k": 200,
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"tags": ["chat", "persona"]
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},
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{
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"id": "m2",
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"type": "gemini_api",
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"label": "Gemini 2.5 Flash (OSIT)",
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"model_name": "gemini-2.5-flash",
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"provider": "google",
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"account_id": "a1b2",
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"context_k": 1000,
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"tags": ["orchestrator", "research"]
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"type": "anthropic_api",
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"label": "Claude Sonnet 4.6 (Direct)",
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"model_name": "claude-sonnet-4-6",
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"provider": "anthropic",
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"credential_id": "key1",
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"context_k": 200,
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"tags": ["chat"]
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},
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{
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"id": "m3",
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@@ -111,7 +114,7 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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"label": "Gemma 4 E4B",
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"model_name": "gemma4:e4b",
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"provider": "local",
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"host_id": "abc123",
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"host_id": "def456",
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"context_k": 72,
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"max_rounds": 5,
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"tools": true,
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@@ -120,8 +123,8 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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],
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"roles": {
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"chat": {"primary": "m1", "backup_1": "m2", "backup_2": "m3"},
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"orchestrator": {"primary": "m2", "backup_1": "m3"},
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"chat": {"primary": "m1", "backup_1": "m2"},
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"orchestrator": {"primary": "m2"},
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"distill": {"primary": "m1"}
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}
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}
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@@ -145,52 +148,9 @@ Managed at **Settings → Models** (`/settings/models`). Full provider UI coming
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Set `api_url` to the base path before `/chat/completions`:
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- OpenRouter: `https://openrouter.ai/api/v1`
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### Built-in model IDs
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Always resolvable without a user-created registry entry. Used as role defaults.
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| ID | Type | Notes |
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|---|---|---|
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| `claude_cli` | `claude_cli` | Model from `DEFAULT_MODEL` in `.env` |
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| `gemini_cli` | `gemini_cli` | Gemini CLI subprocess |
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| `gemini_api` | `gemini_api` | Model from `ORCHESTRATOR_MODEL` in `.env`; key from `GEMINI_API_KEY` |
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### V1 → V2 migration
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Automatic on first load. Changes:
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- Adds `providers` section (Anthropic CLI credential + empty Google accounts)
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- Migrates `gemini_api_key` from `auth.json` → `providers.google.accounts[0]`
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- All existing hosts, models, and role assignments are preserved
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---
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## Claude Backend (`_claude()`)
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Runs `claude --print --no-session-persistence --output-format text` as a subprocess.
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- System prompt passed via `--system-prompt`
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- Conversation history formatted as `<conversation>` block
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- Token read live from `~/.claude/.credentials.json` on every call — never uses the
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env var, which goes stale after `claude auth login`
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- Model override via `--model` flag when `model_name` is set in the registry entry
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Timeout: `TIMEOUT_CLAUDE=60` seconds (`.env`)
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---
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## Gemini CLI Backend (`_gemini()`)
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Runs `gemini --output-format text --extensions "" -p <prompt>` as a subprocess.
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- `--extensions ""` disables all MCP extensions — prevents child processes keeping pipes open
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- `start_new_session=True` puts the process in its own group for clean `os.killpg` on timeout
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- Output is cleaned to strip CLI noise (loading messages, retry notices, quota warnings)
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Timeout: `TIMEOUT_GEMINI=120` seconds (`.env`)
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---
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## Local Backend (`_local()`)
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## Local/OpenAI-Compatible Backend (`_local()`)
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HTTP POST to an OpenAI-compatible endpoint. Model config is resolved via the model registry.
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@@ -199,13 +159,36 @@ HTTP POST to an OpenAI-compatible endpoint. Model config is resolved via the mod
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# host_type "openai": POST {api_url}/chat/completions
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```
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System prompt is sent as the first `{"role": "system", "content": "..."}` message.
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Image attachments are injected into the last user message as `image_url` content blocks.
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Token usage is recorded when returned by the endpoint.
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Streaming variant: `_local_streaming()` — SSE line-by-line, yields tokens via `token_sink`.
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Timeout: `TIMEOUT_LOCAL=300` seconds (`.env`) — local models may need to load from disk.
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---
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## Gemini API (Orchestrator)
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## Anthropic API Backend (`_anthropic_api()`)
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Used by `orchestrator_engine.py` for the ReAct tool loop. Not used for general chat.
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Direct call to the Anthropic Messages API via the `anthropic` Python SDK.
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System prompt passed as top-level `system` field. Messages stripped to `role`/`content` only.
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Token usage is always recorded from `resp.usage`.
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Streaming variant: `_anthropic_api_streaming()` — uses `client.messages.stream()`, yields
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tokens via `token_sink`.
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API key comes from the model registry: `providers.anthropic.credentials[n].api_key`.
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Timeout: governed by httpx defaults and the Anthropic SDK's own connection handling.
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---
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## Gemini API (Orchestrator only)
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Used by `orchestrator_engine.py` for the ReAct tool loop. Not dispatched through
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`llm_client.py` and not available for chat, distill, or other roles.
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API key resolution order:
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1. `api_key` embedded in the resolved orchestrator model config (V2 registry with `account_id`)
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@@ -217,9 +200,7 @@ API key resolution order:
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## Distillation
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Memory distillation uses `role="distill"`. Configure via Model Registry → Role Assignments.
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`.env` override: `ROLE_DISTILL=claude_cli` (default).
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Any `local_openai` or `anthropic_api` model can be assigned to the distill role.
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---
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@@ -232,4 +213,4 @@ Memory distillation uses `role="distill"`. Configure via Model Registry → Role
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| `cortex/routers/local_llm.py` | Settings UI routes + `/api/models/role` AJAX |
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| `cortex/routers/chat.py` | `_backend_label()`, `fallback_used` flag |
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| `cortex/routers/orchestrator.py` | Engine selection, Gemini API key resolution |
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| `cortex/config.py` | `ROLE_*` env defaults, `DEFINED_ROLES`, `PRIMARY_BACKEND` |
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| `cortex/config.py` | `ROLE_*` env defaults, `DEFINED_ROLES`, `TIMEOUT_LOCAL` |
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