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feat: model registry V2 — provider-aware schema with multi-account support

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Adds a providers section to the per-user model registry for Anthropic and
Google as first-class providers alongside local hosts. Google accounts
(API keys) are now stored as a list so multiple Google accounts can coexist.

Changes:
- model_registry.py: V2 schema, auto migration V1→V2 (pulls gemini_api_key
  from auth.json into providers.google.accounts), _resolve_model() merges
  account API key for gemini_api type models
- routers/orchestrator.py: uses model-resolved api_key when orchestrator
  role resolves to a gemini_api model with account_id
- ANTHROPIC_CATALOG and GOOGLE_CATALOG constants for model picker (Phase 2)
- New functions: get_google_api_key(), save/remove_google_account(), get_catalog()
- Documentation: ARCH__BACKENDS.md updated to V2 schema, DESIGN doc added

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Scott Idem
2026-04-27 20:21:04 -04:00
parent 27ca7c7efd
commit 45c95d20ba
6 changed files with 715 additions and 134 deletions
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361
cortex/model_registry.py
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@@ -1,57 +1,72 @@
""" """
Per-user unified model registry. Per-user unified model registry — V2.
Stored in: home/{user}/model_registry.json Stored in: home/{user}/model_registry.json
Schema: V2 Schema:
{ {
"version": 1, "version": 2,
"hosts": [{"id", "label", "api_url", "api_key",
"host_type": "openwebui" | "openai"}, ...], # Per-provider accounts / credentials (user-configured)
# "providers": {
# host_type controls the API path layout: "anthropic": {
# "openwebui" (default) — Open WebUI / Ollama: "credentials": [
# chat: POST {url}/api/chat/completions {"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}
# models: GET {url}/api/models ]
# "openai" — OpenRouter, LiteLLM, Anthropic-compatible, etc.: },
# chat: POST {url}/chat/completions "google": {
# models: GET {url}/models "accounts": [
# Set api_url to the base path that ends just before /chat/completions, {"id": "<hex>", "label": "My Google account", "api_key": "AIza..."}
# e.g. https://openrouter.ai/api/v1 for OpenRouter. ]
}
},
# Local OpenAI-compatible hosts (unchanged from V1)
"hosts": [{"id", "label", "api_url", "api_key", "host_type"}, ...],
# User-registered model entries (all providers)
"models": [ "models": [
{ {
"id": str, # unique within this registry "id": str, # unique within this registry
"type": str, # "local_openai" | "claude_cli" | "gemini_cli" | "gemini_api" "type": str, # see TYPES below
"label": str, # human-readable display name "label": str, # human-readable
"model_name": str, # model identifier sent to the API "model_name": str, # identifier sent to the API / CLI
"host_id": str | null, # only for local_openai — references hosts[].id "provider": str | null, # "anthropic" | "google" | "local" | null
"context_k": int, # context window in thousands of tokens (informational) "host_id": str | null, # local_openai only — references hosts[].id
"tags": [str], # user-defined capability tags "credential_id":str | null, # claude_cli only — references providers.anthropic.credentials
"account_id": str | null, # gemini_api only — references providers.google.accounts
"context_k": int, # context window in k tokens (informational)
"tags": [str], # user-defined capability tags
}, },
], ],
# Role assignments — any model (any provider) can fill any role
"roles": { "roles": {
"<role>": { "<role>": {
"primary": "<model_id>" | null, "primary": "<model_id>" | null,
"backup_1": "<model_id>" | null, "backup_1": "<model_id>" | null,
"backup_2": "<model_id>" | null, ...
"backup_3": "<model_id>" | null,
"backup_4": "<model_id>" | null, "backup_4": "<model_id>" | null,
}, },
}, },
} }
Built-in model IDs (always resolvable, no registry entry required): Types:
"claude_cli" — Claude CLI subprocess (~/.claude/.credentials.json) "claude_cli" — Claude CLI subprocess (~/.claude/.credentials.json)
"gemini_cli" — Gemini CLI subprocess "gemini_cli" — Gemini CLI subprocess
"gemini_api" — Gemini API (google-genai SDK; used by orchestrator engine, not llm_client) "gemini_api" — Gemini API (google-genai SDK); account_id → api_key from providers.google
"local_openai" — OpenAI-compatible endpoint; host_id → api_url/api_key from hosts[]
Standard roles are defined by settings.defined_roles (default: chat,orchestrator,distill,coder,research). Built-in model IDs (always resolvable without a registry entry):
Additional custom roles can be added freely to roles{}. "claude_cli" — resolves to the default Claude CLI model
"gemini_cli" — resolves to Gemini CLI
"gemini_api" — resolves to Gemini API using GEMINI_API_KEY from .env
Resolution for get_model_for_role(username, role): Role resolution for get_model_for_role(username, role):
1. User registry: roles[role].primary → backup_1 → backup_2 → backup_3 → backup_4 1. User registry: roles[role].primary → backup_1 → ... → backup_4
2. .env default: ROLE_<ROLE>=<builtin_id> (e.g. ROLE_CHAT=claude_cli) 2. .env default: ROLE_<ROLE>=<builtin_id>
3. Hardcoded last-resort defaults per role 3. Hardcoded last-resort defaults per role
4. claude_cli (absolute fallback)
""" """
import json import json
@@ -63,11 +78,28 @@ from config import settings
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
# ── Provider model catalogs ───────────────────────────────────────────────────
# Server-side defaults. Update here when providers release new models.
# Users can add entries via the settings UI (Phase 2).
ANTHROPIC_CATALOG: list[dict] = [
{"id": "claude-opus-4-7", "label": "Claude Opus 4.7", "context_k": 200},
{"id": "claude-sonnet-4-6", "label": "Claude Sonnet 4.6", "context_k": 200},
{"id": "claude-haiku-4-5-20251001", "label": "Claude Haiku 4.5", "context_k": 200},
]
GOOGLE_CATALOG: list[dict] = [
{"id": "gemini-2.5-pro", "label": "Gemini 2.5 Pro", "context_k": 1000},
{"id": "gemini-2.5-flash", "label": "Gemini 2.5 Flash", "context_k": 1000},
{"id": "gemini-2.0-flash", "label": "Gemini 2.0 Flash", "context_k": 1000},
{"id": "gemini-1.5-pro", "label": "Gemini 1.5 Pro", "context_k": 2000},
]
# ── Built-in model definitions ──────────────────────────────────────────────── # ── Built-in model definitions ────────────────────────────────────────────────
# These IDs are always resolvable without a registry entry.
def _builtins() -> dict[str, dict]: def _builtins() -> dict[str, dict]:
"""Return built-in model definitions (lazy so settings are resolved at call time)."""
return { return {
"claude_cli": { "claude_cli": {
"id": "claude_cli", "id": "claude_cli",
@@ -96,7 +128,6 @@ def _builtins() -> dict[str, dict]:
} }
# Hardcoded last-resort defaults per role (used only if .env is also unset)
_ROLE_LAST_RESORT: dict[str, str] = { _ROLE_LAST_RESORT: dict[str, str] = {
"chat": "claude_cli", "chat": "claude_cli",
"orchestrator": "gemini_api", "orchestrator": "gemini_api",
@@ -118,14 +149,40 @@ def _local_llm_path(username: str) -> Path:
return settings.home_root() / username / "local_llm.json" return settings.home_root() / username / "local_llm.json"
def _auth_path(username: str) -> Path:
return settings.home_root() / username / "auth.json"
def _empty() -> dict: def _empty() -> dict:
return {"version": 1, "hosts": [], "models": [], "roles": {}} return {
"version": 2,
"providers": _default_providers(),
"hosts": [],
"models": [],
"roles": {},
}
def _default_providers() -> dict:
return {
"anthropic": {
"credentials": [
{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}
]
},
"google": {
"accounts": []
},
}
def _normalize(data: dict) -> dict: def _normalize(data: dict) -> dict:
"""Back-fill any missing fields introduced by schema additions.""" """Back-fill missing fields introduced by schema additions."""
for h in data.get("hosts", []): for h in data.get("hosts", []):
h.setdefault("host_type", "openwebui") h.setdefault("host_type", "openwebui")
data.setdefault("providers", _default_providers())
data["providers"].setdefault("anthropic", {"credentials": [{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}]})
data["providers"].setdefault("google", {"accounts": []})
return data return data
@@ -135,12 +192,15 @@ def _load(username: str) -> dict:
try: try:
data = json.loads(path.read_text()) data = json.loads(path.read_text())
if isinstance(data, dict) and "version" in data: if isinstance(data, dict) and "version" in data:
if data["version"] == 1:
data = _migrate_v1_to_v2(username, data)
_save(username, data)
return _normalize(data) return _normalize(data)
except (json.JSONDecodeError, OSError): except (json.JSONDecodeError, OSError):
logger.warning("model_registry.json for %s is unreadable — starting fresh", username) logger.warning("model_registry.json for %s is unreadable — starting fresh", username)
return _empty() return _empty()
# No registry yet — try migrating from local_llm.json # No registry — try migrating from local_llm.json
legacy = _local_llm_path(username) legacy = _local_llm_path(username)
if legacy.exists(): if legacy.exists():
data = _migrate_from_local_llm(username, legacy) data = _migrate_from_local_llm(username, legacy)
@@ -157,8 +217,45 @@ def _save(username: str, data: dict) -> None:
# ── Migration ───────────────────────────────────────────────────────────────── # ── Migration ─────────────────────────────────────────────────────────────────
def _migrate_v1_to_v2(username: str, data: dict) -> dict:
"""
Upgrade a V1 registry to V2.
Changes:
- Adds providers section with default structure
- Migrates gemini_api_key from auth.json → first Google account entry
- Sets version to 2
"""
logger.info("Migrating model_registry.json V1 → V2 for %s", username)
data["version"] = 2
if "providers" not in data:
data["providers"] = _default_providers()
else:
data["providers"].setdefault("anthropic", {"credentials": [{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}]})
data["providers"].setdefault("google", {"accounts": []})
# Pull existing Gemini key from auth.json (stored there in V1) → first account entry
accounts = data["providers"]["google"]["accounts"]
if not accounts:
try:
auth = json.loads(_auth_path(username).read_text())
existing_key = auth.get("gemini_api_key")
if existing_key:
accounts.append({
"id": secrets.token_hex(4),
"label": "Gemini API Key",
"api_key": existing_key,
})
logger.info("Migrated gemini_api_key from auth.json → providers.google.accounts for %s", username)
except (OSError, json.JSONDecodeError):
pass
return data
def _migrate_from_local_llm(username: str, path: Path) -> dict: def _migrate_from_local_llm(username: str, path: Path) -> dict:
"""Convert local_llm.json (hosts/models/active_model_id) → model_registry format.""" """Convert local_llm.json → V2 model_registry format."""
try: try:
old = json.loads(path.read_text()) old = json.loads(path.read_text())
except Exception: except Exception:
@@ -190,30 +287,25 @@ def _migrate_from_local_llm(username: str, path: Path) -> dict:
"type": "local_openai", "type": "local_openai",
"label": m.get("label") or m.get("model_name", ""), "label": m.get("label") or m.get("model_name", ""),
"model_name": m.get("model_name", ""), "model_name": m.get("model_name", ""),
"provider": "local",
"host_id": m.get("host_id"), "host_id": m.get("host_id"),
"context_k": 0, "context_k": 0,
"tags": [], "tags": [],
}) })
# Build initial role assignments
active_id = old.get("active_model_id") active_id = old.get("active_model_id")
distill_type = settings.distill_backend_mid or None
roles: dict[str, dict] = {}
if active_id and any(m["id"] == active_id for m in data["models"]): if active_id and any(m["id"] == active_id for m in data["models"]):
roles["chat"] = {"primary": active_id} data["roles"]["chat"] = {"primary": active_id}
if distill_type == "local" and active_id: # Migrate Gemini key from auth.json
roles["distill"] = {"primary": active_id} data = _migrate_v1_to_v2(username, {"version": 1, **data})
data["roles"] = roles
return data return data
# ── Model resolution ────────────────────────────────────────────────────────── # ── Model resolution ──────────────────────────────────────────────────────────
def _resolve_model(registry: dict, model_id: str) -> dict | None: def _resolve_model(registry: dict, model_id: str) -> dict | None:
"""Resolve a model_id to its full config dict, or None if not found.""" """Resolve a model_id to its full config dict (credentials merged in), or None."""
builtins = _builtins() builtins = _builtins()
# Built-in IDs take priority over user-defined entries with the same ID # Built-in IDs take priority over user-defined entries with the same ID
@@ -224,7 +316,9 @@ def _resolve_model(registry: dict, model_id: str) -> dict | None:
if not model: if not model:
return None return None
if model.get("type") == "local_openai": model_type = model.get("type")
if model_type == "local_openai":
host_id = model.get("host_id") host_id = model.get("host_id")
host = next((h for h in registry.get("hosts", []) if h["id"] == host_id), None) host = next((h for h in registry.get("hosts", []) if h["id"] == host_id), None)
if not host: if not host:
@@ -237,6 +331,19 @@ def _resolve_model(registry: dict, model_id: str) -> dict | None:
"host_type": host.get("host_type", "openwebui"), "host_type": host.get("host_type", "openwebui"),
} }
if model_type == "gemini_api":
account_id = model.get("account_id")
if account_id:
accounts = registry.get("providers", {}).get("google", {}).get("accounts", [])
account = next((a for a in accounts if a["id"] == account_id), None)
if account:
return {**model, "api_key": account.get("api_key", "")}
logger.warning("model %s references missing account_id %s", model_id, account_id)
return dict(model)
if model_type == "claude_cli":
return dict(model)
return dict(model) return dict(model)
@@ -277,7 +384,6 @@ def get_best_local_model(username: str, role: str = "chat") -> dict | None:
""" """
Return the best available local_openai model for the given role. Return the best available local_openai model for the given role.
Used when the user explicitly selects "local" backend in the UI. Used when the user explicitly selects "local" backend in the UI.
Tries the role's priority chain first, then any configured local model.
""" """
registry = _load(username) registry = _load(username)
role_cfg = registry.get("roles", {}).get(role, {}) role_cfg = registry.get("roles", {}).get(role, {})
@@ -290,7 +396,6 @@ def get_best_local_model(username: str, role: str = "chat") -> dict | None:
if resolved and resolved.get("type") == "local_openai": if resolved and resolved.get("type") == "local_openai":
return resolved return resolved
# Fall back to first configured local model
for model in registry.get("models", []): for model in registry.get("models", []):
if model.get("type") == "local_openai": if model.get("type") == "local_openai":
resolved = _resolve_model(registry, model["id"]) resolved = _resolve_model(registry, model["id"])
@@ -300,15 +405,38 @@ def get_best_local_model(username: str, role: str = "chat") -> dict | None:
return None return None
# ── Read API (for UI and callers) ───────────────────────────────────────────── def get_google_api_key(username: str, account_id: str | None = None) -> str | None:
"""
Return the best available Gemini API key for the user.
If account_id is specified, returns that account's key (or None if not found).
Otherwise returns the first configured account key, falling back to the
server-level GEMINI_API_KEY from .env.
"""
registry = _load(username)
accounts = registry.get("providers", {}).get("google", {}).get("accounts", [])
if account_id:
account = next((a for a in accounts if a["id"] == account_id), None)
return account.get("api_key") if account else None
# First configured account
if accounts:
return accounts[0].get("api_key") or None
# Fall back to .env server key
return settings.gemini_api_key or None
# ── Read API ──────────────────────────────────────────────────────────────────
def get_registry(username: str) -> dict: def get_registry(username: str) -> dict:
"""Return the full registry (with built-in models injected for display).""" """Return the full registry (providers + hosts + models + roles)."""
return _load(username) return _load(username)
def get_all_models(username: str) -> list[dict]: def get_all_models(username: str) -> list[dict]:
"""Return all user-defined models (resolved — hosts merged in).""" """Return all user-defined models (resolved — credentials/hosts merged in)."""
registry = _load(username) registry = _load(username)
out = [] out = []
for m in registry.get("models", []): for m in registry.get("models", []):
@@ -319,24 +447,94 @@ def get_all_models(username: str) -> list[dict]:
def get_defined_roles(username: str) -> dict[str, dict]: def get_defined_roles(username: str) -> dict[str, dict]:
"""Return the roles section of the registry, filling gaps with empty dicts.""" """Return the roles section, filling gaps with empty dicts."""
registry = _load(username) registry = _load(username)
roles = registry.get("roles", {}) roles = registry.get("roles", {})
result = {} return {role: roles.get(role, {}) for role in settings.get_defined_roles()}
for role in settings.get_defined_roles():
result[role] = roles.get(role, {})
return result
# ── Write API (CRUD) ────────────────────────────────────────────────────────── def get_google_accounts(username: str) -> list[dict]:
"""Return Google account entries (api_key masked for display)."""
registry = _load(username)
accounts = registry.get("providers", {}).get("google", {}).get("accounts", [])
return [
{
"id": a["id"],
"label": a.get("label", ""),
"hint": (a.get("api_key") or "")[:8] + "…" if a.get("api_key") else "",
}
for a in accounts
]
def get_catalog(provider: str, username: str | None = None) -> list[dict]:
"""
Return the model catalog for a provider.
For now returns server defaults. Phase 2 will merge in per-user additions.
"""
if provider == "anthropic":
return list(ANTHROPIC_CATALOG)
if provider == "google":
return list(GOOGLE_CATALOG)
return []
# ── Write API — Google accounts ───────────────────────────────────────────────
def save_google_account(username: str, account_id: str | None,
label: str, api_key: str) -> str:
"""Create or update a Google account entry. Returns the account ID."""
data = _load(username)
accounts = data["providers"]["google"]["accounts"]
if account_id:
for a in accounts:
if a["id"] == account_id:
a["label"] = label.strip()
if api_key.strip():
a["api_key"] = api_key.strip()
_save(username, data)
return account_id
account_id = secrets.token_hex(4)
accounts.append({
"id": account_id,
"label": label.strip(),
"api_key": api_key.strip(),
})
_save(username, data)
return account_id
def remove_google_account(username: str, account_id: str) -> bool:
"""Remove a Google account. Clears any model entries that reference it."""
data = _load(username)
accounts = data["providers"]["google"]["accounts"]
before = len(accounts)
data["providers"]["google"]["accounts"] = [a for a in accounts if a["id"] != account_id]
# Clear role assignments for models that referenced this account
removed_model_ids = {
m["id"] for m in data.get("models", [])
if m.get("account_id") == account_id
}
data["models"] = [m for m in data.get("models", []) if m["id"] not in removed_model_ids]
for role_cfg in data.get("roles", {}).values():
for key in PRIORITY_KEYS:
if role_cfg.get(key) in removed_model_ids:
role_cfg[key] = None
_save(username, data)
return len(data["providers"]["google"]["accounts"]) < before
# ── Write API — Hosts ─────────────────────────────────────────────────────────
def save_host(username: str, host_id: str | None, def save_host(username: str, host_id: str | None,
label: str, api_url: str, api_key: str, label: str, api_url: str, api_key: str,
host_type: str = "openwebui") -> str: host_type: str = "openwebui") -> str:
"""Create or update a host. Returns the host ID. """Create or update a host. Returns the host ID."""
host_type: "openwebui" (default) or "openai" (OpenRouter, LiteLLM, etc.)
"""
data = _load(username) data = _load(username)
host_type = host_type if host_type in ("openwebui", "openai") else "openwebui" host_type = host_type if host_type in ("openwebui", "openai") else "openwebui"
@@ -350,7 +548,7 @@ def save_host(username: str, host_id: str | None,
h["api_key"] = api_key.strip() h["api_key"] = api_key.strip()
_save(username, data) _save(username, data)
return host_id return host_id
host_id = None # not found — create new host_id = None
host_id = secrets.token_hex(4) host_id = secrets.token_hex(4)
data["hosts"].append({ data["hosts"].append({
@@ -365,25 +563,26 @@ def save_host(username: str, host_id: str | None,
def remove_host(username: str, host_id: str) -> bool: def remove_host(username: str, host_id: str) -> bool:
"""Remove a host and all models that reference it. Returns True if found.""" """Remove a host and all models that reference it."""
data = _load(username) data = _load(username)
before = len(data["hosts"]) before = len(data["hosts"])
data["hosts"] = [h for h in data["hosts"] if h["id"] != host_id] removed_model_ids = {m["id"] for m in data["models"] if m.get("host_id") == host_id}
data["models"] = [m for m in data["models"] if m.get("host_id") != host_id] data["hosts"] = [h for h in data["hosts"] if h["id"] != host_id]
# Clear any role assignments that pointed to removed models data["models"] = [m for m in data["models"] if m.get("host_id") != host_id]
removed_ids = {m["id"] for m in data["models"] if m.get("host_id") == host_id}
for role_cfg in data.get("roles", {}).values(): for role_cfg in data.get("roles", {}).values():
for key in PRIORITY_KEYS: for key in PRIORITY_KEYS:
if role_cfg.get(key) in removed_ids: if role_cfg.get(key) in removed_model_ids:
role_cfg[key] = None role_cfg[key] = None
_save(username, data) _save(username, data)
return len(data["hosts"]) < before return len(data["hosts"]) < before
# ── Write API — Models ────────────────────────────────────────────────────────
def save_model(username: str, model_id: str | None, host_id: str, def save_model(username: str, model_id: str | None, host_id: str,
label: str, model_name: str, context_k: int = 0, label: str, model_name: str, context_k: int = 0,
tags: list[str] | None = None) -> str: tags: list[str] | None = None) -> str:
"""Create or update a model entry. Returns the model ID.""" """Create or update a local_openai model entry. Returns the model ID."""
data = _load(username) data = _load(username)
tags = tags or [] tags = tags or []
@@ -405,6 +604,7 @@ def save_model(username: str, model_id: str | None, host_id: str,
"type": "local_openai", "type": "local_openai",
"label": label.strip() or model_name.strip(), "label": label.strip() or model_name.strip(),
"model_name": model_name.strip(), "model_name": model_name.strip(),
"provider": "local",
"host_id": host_id, "host_id": host_id,
"context_k": context_k, "context_k": context_k,
"tags": tags, "tags": tags,
@@ -418,12 +618,10 @@ def remove_model(username: str, model_id: str) -> bool:
data = _load(username) data = _load(username)
before = len(data["models"]) before = len(data["models"])
data["models"] = [m for m in data["models"] if m["id"] != model_id] data["models"] = [m for m in data["models"] if m["id"] != model_id]
for role_cfg in data.get("roles", {}).values(): for role_cfg in data.get("roles", {}).values():
for key in PRIORITY_KEYS: for key in PRIORITY_KEYS:
if role_cfg.get(key) == model_id: if role_cfg.get(key) == model_id:
role_cfg[key] = None role_cfg[key] = None
_save(username, data) _save(username, data)
return len(data["models"]) < before return len(data["models"]) < before
@@ -434,8 +632,7 @@ def set_role(username: str, role: str, priority: str, model_id: str | None) -> b
priority must be one of: primary, backup_1, backup_2, backup_3, backup_4 priority must be one of: primary, backup_1, backup_2, backup_3, backup_4
model_id None clears the slot. model_id None clears the slot.
model_id "claude_cli" / "gemini_cli" / "gemini_api" are valid built-in IDs. Built-in IDs (claude_cli, gemini_cli, gemini_api) are always valid.
Returns False if model_id is set but not found.
""" """
if priority not in PRIORITY_KEYS: if priority not in PRIORITY_KEYS:
return False return False
@@ -455,10 +652,14 @@ def set_role(username: str, role: str, priority: str, model_id: str | None) -> b
return True return True
def fetch_models_from_host(api_url: str, api_key: str) -> list[str]: # ── Utility ───────────────────────────────────────────────────────────────────
def fetch_models_from_host(api_url: str, api_key: str,
host_type: str = "openwebui") -> list[str]:
"""Synchronously fetch the model list from an OpenAI-compatible host.""" """Synchronously fetch the model list from an OpenAI-compatible host."""
import httpx import httpx
url = api_url.rstrip("/") + "/api/models" path = "/api/models" if host_type == "openwebui" else "/models"
url = api_url.rstrip("/") + path
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {} headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
resp = httpx.get(url, headers=headers, timeout=10) resp = httpx.get(url, headers=headers, timeout=10)
resp.raise_for_status() resp.raise_for_status()

8
cortex/routers/orchestrator.py
View File

@@ -171,12 +171,18 @@ async def _run_job(job_id: str, req: OrchestrateRequest, user: str) -> None:
respond_with_final=req.respond_with_claude, respond_with_final=req.respond_with_claude,
) )
else: else:
# Use the API key embedded in the resolved model config (V2 registry with
# account_id), then fall back to the per-user key from auth.json, then .env.
gemini_key = (
(orch_model.get("api_key") if orch_model else None)
or get_user_gemini_key(user)
)
result = await orchestrator_engine.run( result = await orchestrator_engine.run(
task=req.task, task=req.task,
system_prompt=system_prompt, system_prompt=system_prompt,
session_messages=session_messages, session_messages=session_messages,
respond_with_claude=req.respond_with_claude, respond_with_claude=req.respond_with_claude,
gemini_api_key=get_user_gemini_key(user), gemini_api_key=gemini_key,
) )
# Save the turn to the session store so it survives a page refresh # Save the turn to the session store so it survives a page refresh

160
documentation/ARCH__BACKENDS.md
View File

@@ -1,18 +1,20 @@
# Architecture: LLM Backends # Architecture: LLM Backends
> How Cortex selects and talks to AI models. > How Cortex selects and talks to AI models.
> Last updated: 2026-04-06 > Last updated: 2026-04-27 (V2 schema)
--- ---
## Backends ## Providers
| Backend | Type | Auth | Notes | Cortex supports four model types, each dispatched differently:
|---|---|---|---|
| **Claude CLI** | `claude_cli` | OAuth token from `~/.claude/.credentials.json` | Primary chat; model set via `DEFAULT_MODEL` in `.env` | | Type | Auth | Use |
| **Gemini CLI** | `gemini_cli` | Gemini CLI credentials | Fallback / explicit selection | |---|---|---|
| **Gemini API** | `gemini_api` | `GEMINI_API_KEY` in `.env` | Orchestrator tool loop only — not general chat | | `claude_cli` | OAuth token from `~/.claude/.credentials.json` | Chat, persona responses |
| **Local (OpenAI-compat)** | `local_openai` | API key per host in model registry | Open WebUI, Ollama, OpenRouter, LiteLLM, etc. | | `gemini_cli` | Gemini CLI credentials | Chat fallback / explicit selection |
| `gemini_api` | API key from registry account or `.env` | Orchestrator tool loop |
| `local_openai` | API key per host in model registry | Open WebUI, Ollama, OpenRouter, LiteLLM, etc. |
--- ---
@@ -26,93 +28,129 @@ request's **role** in the user's model registry. Roles: `chat`, `orchestrator`,
Resolution order for a role: Resolution order for a role:
1. User registry: `roles[role].primary → backup_1 → backup_2 → backup_3 → backup_4` 1. User registry: `roles[role].primary → backup_1 → backup_2 → backup_3 → backup_4`
2. `.env` role default: `ROLE_CHAT=claude_cli`, `ROLE_DISTILL=gemini_api`, etc. 2. `.env` role default: `ROLE_CHAT=claude_cli`, `ROLE_DISTILL=claude_cli`, etc.
3. Hardcoded last-resort: `chat/distill/coder → claude_cli`, `orchestrator/research → gemini_api` 3. Hardcoded last-resort: `chat/distill/coder → claude_cli`, `orchestrator/research → gemini_api`
### Explicit Override ### Explicit Override
The UI backend toggle cycles: **auto → claude → gemini → local → auto** The UI backend toggle cycles: **auto → claude → gemini → local → auto**
- **auto** (default): role-based routing as above; sends `model: null` to `/chat` - **auto** (default): role-based routing as above
- **claude / gemini / local**: bypasses role routing; forces that specific backend - **claude / gemini / local**: bypasses role routing; forces that backend type
- When "local" is active, the configured model name appears below the toggle button - The toggle will be redesigned in Phase 3 to cycle through chat role slots (Primary / Backup 1 / Backup 2)
**Fallback chain** (automatic, on any error): **Fallback chain** (automatic, only when no explicit registry entry exists):
``` ```
claude → gemini claude → gemini
gemini → claude gemini → claude
local → claude local → claude
``` ```
When a model is explicitly configured in the registry, errors surface immediately — no silent fallback.
Each response includes a model label (bottom-right of the message bubble) showing what Each response shows a model tag (bottom-right of the message bubble) with the model label and host.
actually responded. Amber label with `⚡` = fallback was used.
Auth expiry on Claude triggers a UI banner + `claude_auth_expired` SSE event.
--- ---
## Model Registry ## Model Registry — V2 Schema
Per-user configuration stored in `home/{user}/model_registry.json`. Per-user configuration stored in `home/{user}/model_registry.json`.
Hosts and models are managed at **Settings → Model Registry** (`/settings/local`). Managed at **Settings → Model Registry** (`/settings/local`). Full provider UI coming in Phase 2.
### Schema
```json ```json
{ {
"version": 1, "version": 2,
"providers": {
"anthropic": {
"credentials": [
{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}
]
},
"google": {
"accounts": [
{"id": "a1b2", "label": "One Sky IT", "api_key": "AIza..."}
]
}
},
"hosts": [ "hosts": [
{ {
"id": "abc123", "id": "abc123",
"label": "Home ML Laptop", "label": "Gaming Laptop",
"api_url": "http://192.168.x.x:3000", "api_url": "http://192.168.x.x:3000",
"api_key": "sk-...", "api_key": "",
"host_type": "openwebui" "host_type": "openwebui"
} }
], ],
"models": [ "models": [
{ {
"id": "def456", "id": "m1",
"type": "claude_cli",
"label": "Sonnet 4.6 (CLI)",
"model_name": "claude-sonnet-4-6",
"provider": "anthropic",
"credential_id": "cli",
"context_k": 200,
"tags": ["chat", "persona"]
},
{
"id": "m2",
"type": "gemini_api",
"label": "Gemini 2.5 Flash (OSIT)",
"model_name": "gemini-2.5-flash",
"provider": "google",
"account_id": "a1b2",
"context_k": 1000,
"tags": ["orchestrator", "research"]
},
{
"id": "m3",
"type": "local_openai", "type": "local_openai",
"label": "Gemma Medium", "label": "Gemma 4 E4B",
"model_name": "agent-support-gemma-medium", "model_name": "gemma4:e4b",
"provider": "local",
"host_id": "abc123", "host_id": "abc123",
"context_k": 50, "context_k": 72,
"tags": ["chat", "fast"] "tags": ["fast", "local"]
} }
], ],
"roles": { "roles": {
"chat": { "chat": {"primary": "m1", "backup_1": "m2", "backup_2": "m3"},
"primary": "def456", "orchestrator": {"primary": "m2", "backup_1": "m3"},
"backup_1": "claude_cli" "distill": {"primary": "m1"}
}
} }
} }
``` ```
### host_type ### host_type (local hosts)
Controls which API path layout is used:
| `host_type` | Chat endpoint | Models endpoint | Use for | | `host_type` | Chat endpoint | Models endpoint | Use for |
|---|---|---|---| |---|---|---|---|
| `openwebui` (default) | `POST {url}/api/chat/completions` | `GET {url}/api/models` | Open WebUI, Ollama | | `openwebui` (default) | `POST {url}/api/chat/completions` | `GET {url}/api/models` | Open WebUI, Ollama |
| `openai` | `POST {url}/chat/completions` | `GET {url}/models` | OpenRouter, LiteLLM, Anthropic-compat | | `openai` | `POST {url}/chat/completions` | `GET {url}/models` | OpenRouter, LiteLLM, Anthropic-compat |
Set `api_url` to the base path ending just before `/chat/completions`: Set `api_url` to the base path before `/chat/completions`:
- OpenRouter: `https://openrouter.ai/api/v1` - OpenRouter: `https://openrouter.ai/api/v1`
- LiteLLM proxy: `http://host:port`
### Built-in model IDs ### Built-in model IDs
Always resolvable without a registry entry: Always resolvable without a user-created registry entry. Used as role defaults.
| ID | Backend | | ID | Type | Notes |
|---|---| |---|---|---|
| `claude_cli` | Claude CLI subprocess | | `claude_cli` | `claude_cli` | Model from `DEFAULT_MODEL` in `.env` |
| `gemini_cli` | Gemini CLI subprocess | | `gemini_cli` | `gemini_cli` | Gemini CLI subprocess |
| `gemini_api` | Gemini API (SDK) — orchestrator only | | `gemini_api` | `gemini_api` | Model from `ORCHESTRATOR_MODEL` in `.env`; key from `GEMINI_API_KEY` |
### V1 → V2 migration
Automatic on first load. Changes:
- Adds `providers` section (Anthropic CLI credential + empty Google accounts)
- Migrates `gemini_api_key` from `auth.json` → `providers.google.accounts[0]`
- All existing hosts, models, and role assignments are preserved
--- ---
@@ -122,9 +160,9 @@ Runs `claude --print --no-session-persistence --output-format text` as a subproc
- System prompt passed via `--system-prompt` - System prompt passed via `--system-prompt`
- Conversation history formatted as `<conversation>` block - Conversation history formatted as `<conversation>` block
- Token read live from `~/.claude/.credentials.json` on every call — never relies on the - Token read live from `~/.claude/.credentials.json` on every call — never uses the
env var, which goes stale after `claude auth login` env var, which goes stale after `claude auth login`
- Model override via `--model` flag when a specific `model_name` is configured in the registry - Model override via `--model` flag when `model_name` is set in the registry entry
Timeout: `TIMEOUT_CLAUDE=60` seconds (`.env`) Timeout: `TIMEOUT_CLAUDE=60` seconds (`.env`)
@@ -136,7 +174,7 @@ Runs `gemini --output-format text --extensions "" -p <prompt>` as a subprocess.
- `--extensions ""` disables all MCP extensions — prevents child processes keeping pipes open - `--extensions ""` disables all MCP extensions — prevents child processes keeping pipes open
- `start_new_session=True` puts the process in its own group for clean `os.killpg` on timeout - `start_new_session=True` puts the process in its own group for clean `os.killpg` on timeout
- Output is cleaned to strip CLI noise lines (loading messages, retry notices, quota warnings) - Output is cleaned to strip CLI noise (loading messages, retry notices, quota warnings)
Timeout: `TIMEOUT_GEMINI=120` seconds (`.env`) Timeout: `TIMEOUT_GEMINI=120` seconds (`.env`)
@@ -155,13 +193,30 @@ Timeout: `TIMEOUT_LOCAL=300` seconds (`.env`) — local models may need to load
--- ---
## Gemini API (Orchestrator)
Used by `orchestrator_engine.py` for the ReAct tool loop. Not used for general chat.
API key resolution order:
1. `api_key` embedded in the resolved orchestrator model config (V2 registry with `account_id`)
2. `get_user_gemini_key(user)` — reads from `auth.json` (legacy, kept for compat)
3. `GEMINI_API_KEY` in `.env` (server default)
---
## Distillation ## Distillation
Memory distillation uses `role="distill"` for mid and long passes. Configure the distill Memory distillation uses `role="distill"`. Configure via Model Registry → Role Assignments.
model via the Model Registry → Role Assignments → Distill role.
`.env` override: `ROLE_DISTILL=claude_cli` (default). Set to any built-in ID or leave blank `.env` override: `ROLE_DISTILL=claude_cli` (default).
to fall through to the hardcoded default (`claude_cli`).
---
## Future: Phase 3 — Backend Toggle Redesign
The `claude → gemini → local` toggle will be replaced with a slot toggle that cycles
through the chat role's configured models (Primary → Backup 1 → Backup 2), showing
the actual model label. See `DESIGN__Model_Registry_V2.md`.
--- ---
@@ -170,7 +225,8 @@ to fall through to the hardcoded default (`claude_cli`).
| File | Responsibility | | File | Responsibility |
|---|---| |---|---|
| `cortex/llm_client.py` | `complete()` — routing, dispatch, fallback | | `cortex/llm_client.py` | `complete()` — routing, dispatch, fallback |
| `cortex/model_registry.py` | Per-user registry CRUD and resolution | | `cortex/model_registry.py` | Per-user registry CRUD and resolution (V2) |
| `cortex/routers/local_llm.py` | Settings UI routes + `/api/models/role` AJAX | | `cortex/routers/local_llm.py` | Settings UI routes + `/api/models/role` AJAX |
| `cortex/routers/chat.py` | `_backend_label()`, `fallback_used` flag | | `cortex/routers/chat.py` | `_backend_label()`, `fallback_used` flag |
| `cortex/routers/orchestrator.py` | Engine selection, Gemini API key resolution |
| `cortex/config.py` | `ROLE_*` env defaults, `DEFINED_ROLES`, `PRIMARY_BACKEND` | | `cortex/config.py` | `ROLE_*` env defaults, `DEFINED_ROLES`, `PRIMARY_BACKEND` |

310
documentation/DESIGN__Model_Registry_V2.md Normal file
View File

@@ -0,0 +1,310 @@
# Model Registry V2 — Design Document
> Status: Planning / Pre-implementation
> Goal: Unified, provider-agnostic model management with clean role-based routing
---
## Problem Statement
The current system has two classes of models with different treatment:
| Type | How configured | How selected |
|---|---|---|
| Claude, Gemini | Hardcoded built-ins (`claude_cli`, `gemini_api`) | Backend toggle string ("claude"/"gemini") |
| Local (Ollama, Open WebUI) | Configured via `/settings/local` | Backend toggle string "local" |
This breaks down when you want:
- Multiple Gemini API keys (e.g. one per Google account)
- Claude via direct API key instead of OAuth CLI
- OpenRouter or other hosted providers alongside local models
- Role assignments to span all provider types uniformly
- A chat toggle that shows "which model" not "which service"
---
## Proposed Architecture
### Core concept: Providers + Credentials + Models + Roles
```
Providers (built-in, fixed set)
└─ Anthropic ← has a catalog of Claude model IDs
└─ Google ← has a catalog of Gemini model IDs
└─ Local Host ← OpenAI-compatible endpoint (user adds these)
Credentials (user-configured, per provider)
└─ Anthropic ← Claude CLI (OAuth, default) or API key
└─ Google ← one or more API keys (one per Google account)
└─ Local Host ← api_key stored on the host record (existing)
Model Entries (user-registered — "I want to use this model")
└─ Provider + model ID + credential = one usable model entry
└─ Same model ID with two different accounts = two model entries
Role Assignments (unified — any model entry can fill any role)
└─ chat: primary → backup_1 → backup_2
└─ orchestrator: primary → backup_1
└─ distill: primary
└─ (etc.)
```
### Backend toggle redesign
**Current:** cycles service type strings — `auto → claude → gemini → local`
**New:** cycles through the chat role's assigned models — `Primary → Backup 1 → Backup 2`
The toggle displays the active model's label (e.g. "Sonnet 4.6" / "Gemini 2.5 Flash" / "Gemma 4 E4B"). Auto defaults to Primary.
This means the toggle is context-free — it just picks a slot — and all the "what model, what provider, what credentials" logic lives in the registry.
---
## Data Model (V2 Schema)
Stored in `home/{user}/model_registry.json`.
```json
{
"version": 2,
"providers": {
"anthropic": {
"catalog": [
{"id": "claude-opus-4-7", "label": "Claude Opus 4.7", "context_k": 200},
{"id": "claude-sonnet-4-6", "label": "Claude Sonnet 4.6", "context_k": 200},
{"id": "claude-haiku-4-5", "label": "Claude Haiku 4.5", "context_k": 200}
],
"credentials": [
{"id": "cli", "label": "Claude CLI (OAuth)", "type": "cli"}
]
},
"google": {
"catalog": [
{"id": "gemini-2.5-pro", "label": "Gemini 2.5 Pro", "context_k": 1000},
{"id": "gemini-2.5-flash", "label": "Gemini 2.5 Flash", "context_k": 1000},
{"id": "gemini-2.0-flash", "label": "Gemini 2.0 Flash", "context_k": 1000},
{"id": "gemini-1.5-pro", "label": "Gemini 1.5 Pro", "context_k": 2000}
],
"accounts": [
{"id": "osit", "label": "One Sky IT (scott.idem@oneskyit.com)", "api_key": "AIza..."}
]
}
},
"hosts": [
{
"id": "h1",
"label": "Gaming Laptop",
"api_url": "http://192.168.x.x:3000",
"api_key": "",
"host_type": "openwebui"
}
],
"models": [
{
"id": "m1",
"label": "Sonnet 4.6 (CLI)",
"type": "claude_cli",
"provider": "anthropic",
"model_name": "claude-sonnet-4-6",
"credential_id": "cli",
"context_k": 200,
"tags": ["chat", "persona"]
},
{
"id": "m2",
"label": "Gemini 2.5 Flash (OSIT)",
"type": "gemini_api",
"provider": "google",
"model_name": "gemini-2.5-flash",
"account_id": "osit",
"context_k": 1000,
"tags": ["orchestrator", "research"]
},
{
"id": "m3",
"label": "Gemma 4 E4B",
"type": "local_openai",
"provider": "local",
"host_id": "h1",
"model_name": "gemma4:e4b",
"context_k": 72,
"tags": ["fast", "local"]
}
],
"roles": {
"chat": {"primary": "m1", "backup_1": "m2", "backup_2": "m3"},
"orchestrator":{"primary": "m2", "backup_1": "m3"},
"distill": {"primary": "m1"}
}
}
```
### Key differences from V1
| V1 | V2 |
|---|---|
| Built-ins (`claude_cli`, `gemini_api`) are hardcoded constants | All models are registry entries — built-ins become auto-populated defaults |
| Single Gemini API key in `auth.json` | `providers.google.accounts[]` — list of accounts |
| Role assignments only work with local models in UI | All models in all roles |
| Host list only for local | Host list stays for local; `providers` section for cloud |
| `type` field existed but only `local_openai` was user-configurable | `type` fully determines dispatch for all models |
---
## Resolution Logic (updated)
`get_model_for_role(username, role)` stays the same interface. Internally:
1. Walk `roles[role].primary → backup_1 → backup_2 → backup_3 → backup_4`
2. For each slot: resolve the model entry → merge in credentials
3. If no registry entry for a role: fall back to `.env` defaults, then hardcoded
`_resolve_model(registry, model_id)` gains new merge cases:
- `type == "claude_cli"` → merge in credential from `providers.anthropic.credentials`
- `type == "gemini_api"` → merge in `api_key` from `providers.google.accounts[account_id]`
- `type == "local_openai"` → merge host fields (existing logic, unchanged)
### Backend toggle → dispatch
```
UI sends: slot = "primary" | "backup_1" | "backup_2" | null (auto)
```
`llm_client.complete()` resolves the slot against the `chat` role, gets a full model config, dispatches by `type`. No more `"claude"/"gemini"/"local"` string matching.
---
## Routing Code Changes
### `llm_client.complete()`
- **Remove:** `model: str | None` → service type string
- **Add:** `slot: str | None = None` → role slot override ("primary"/"backup_1"/etc.)
- Dispatch table: `type` → handler
- `claude_cli` → `_claude()` (unchanged)
- `claude_api` → `_claude_api()` (new, direct Anthropic API — future phase)
- `gemini_cli` → `_gemini()` (unchanged)
- `gemini_api` → `_gemini_api()` (new, replaces current hardcoded gemini_api built-in)
- `local_openai` → `_local()` (unchanged)
### `orchestrator_engine.py` / `openai_orchestrator.py`
- Get orchestrator model via `get_model_for_role(username, "orchestrator")`
- Already works — `openai_orchestrator.py` runs when type is `local_openai`
- `orchestrator_engine.py` (Gemini) runs when type is `gemini_api`
### Chat router (`routers/chat.py`)
- Accept `slot` instead of `model` from UI
- Pass to `llm_client.complete(slot=slot)`
---
## Settings UI Redesign
### New page structure
```
/settings/models ← unified model registry (replaces /settings/local)
Section 1: Cloud Providers
Anthropic
- credential: Claude CLI (OAuth) [default, always there]
- + Add API Key (future)
- model catalog [editable list of available Claude models]
Google
- accounts: [osit key ●●●●, + Add account]
- model catalog [editable list of available Gemini models]
Section 2: Local Hosts
[existing host cards, unchanged]
Section 3: Models
[unified list — all registered model entries across all providers]
+ Add Model (provider picker first, then model + credential/account dropdowns)
/settings/roles ← standalone page (or promoted to /settings/models bottom)
Role Assignments
chat: [primary ▾] [backup 1 ▾] [backup 2 ▾]
orchestrator: [primary ▾] [backup 1 ▾]
distill: [primary ▾]
(all dropdowns show all models from all providers)
```
### Backend toggle in chat UI
Replace the `claude → gemini → local → auto` cycle with:
```
[Model label] ▾ (clickable cycles through chat role slots)
```
- Shows the label of the currently active chat model
- Click cycles: Primary → Backup 1 → Backup 2 → Primary
- Slots with no model assigned are skipped
- Color: same purple/amber/slate theme, based on provider type (optional)
---
## Migration
V1 → V2 is handled in `_load()`:
1. Detect `version == 1` (or missing)
2. Synthesize `providers.anthropic` catalog from hardcoded defaults
3. Synthesize `providers.google` — migrate API key from `auth.json` as first account
4. Convert built-in role assignments (`claude_cli` / `gemini_api`) to new model entry IDs
5. Existing `hosts[]` and `local_openai` models carry over unchanged
6. Write `version: 2` and save
No data loss. Old `local_llm.json` migration path still works (V0 → V1 → V2).
---
## Phases
### Phase 1 — Data model + backend routing (no UI changes yet)
- Extend schema to V2 in `model_registry.py`
- Migration from V1 on first load
- Update `_resolve_model()` to handle `gemini_api` + account lookup
- Update `llm_client.complete()` to accept `slot` parameter
- Update `routers/chat.py` to pass `slot` instead of backend string
- Keep backend toggle UI working (map old strings to slots temporarily)
- **Deliverable:** routing works with multi-account Gemini, no UI changes needed yet
### Phase 2 — Cloud provider UI
- Add Anthropic and Google sections to `/settings/local` (rename to `/settings/models`)
- Google accounts: add/remove API keys with labels
- Editable model catalog for Anthropic + Google (add/remove model IDs from the list)
- Model entry creation: provider picker → model dropdown (from catalog) → account/credential picker
- **Deliverable:** can register cloud models in the UI just like local models
### Phase 3 — Unified role assignments + toggle redesign
- Promote role assignments to standalone `/settings/roles` page (or `/settings/models` bottom)
- All models from all providers appear in role selects
- Chat UI toggle: replace service-type cycle with slot cycle, show model label
- **Deliverable:** end-to-end unified experience
### Phase 4 — Polish + future providers
- Claude direct API key support (optional, CLI is fine for now)
- OpenRouter as a named provider (already works as a "local" host with host_type=openai — could be promoted)
- Model catalog sync: fetch available models from Anthropic/Google API if keys are present
- Per-role "test" button in role assignments UI
---
## Open Questions
1. **Claude direct API key:** Is this needed now, or is CLI OAuth sufficient for all users?
- Decision: CLI-only for Phase 1; add API key support in Phase 4 if needed
2. **Catalog management:** Should the Anthropic/Google catalogs be server-wide defaults
that users can extend, or fully per-user?
- Recommendation: ship sensible defaults in code (updated with each deploy);
users can add custom entries if needed
3. **Toggle UX:** Cycle through slot labels ("Primary / Backup 1 / Backup 2") or cycle
through model labels ("Sonnet 4.6 / Gemini 2.5 Flash / Gemma 4")?
- Model labels are more useful — clearer what you're switching to
4. **Orchestrator mode toggle:** Does agent mode also respect the slot toggle, or is it
always "use orchestrator role"?
- Keep orchestrator role separate; the UI toggle only affects `chat` role

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documentation/MASTER.md
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@@ -1,7 +1,7 @@
# Cortex / Inara — Master Index # Cortex / Inara — Master Index
> Start here. This document is a map, not a manual. > Start here. This document is a map, not a manual.
> Last updated: 2026-04-03 > Last updated: 2026-04-27
--- ---
@@ -24,6 +24,7 @@ Cortex is a self-hosted personal AI platform. It routes messages from any input
| Gemini backend | ✅ Live | Fallback — via Gemini CLI | | Gemini backend | ✅ Live | Fallback — via Gemini CLI |
| Local backend | ✅ Live | Third option — Open WebUI/Ollama on scott_gaming | | Local backend | ✅ Live | Third option — Open WebUI/Ollama on scott_gaming |
| Gemini orchestrator | ✅ Live | Tool loop → Claude response, Agent mode in UI | | Gemini orchestrator | ✅ Live | Tool loop → Claude response, Agent mode in UI |
| Model registry V2 | ✅ Live | Providers (Anthropic/Google/Local), multi-account Gemini |
| Memory distillation | ✅ Live | Short (daily) / Mid (weekly) / Long (monthly) | | Memory distillation | ✅ Live | Short (daily) / Mid (weekly) / Long (monthly) |
| Multi-user | ✅ Live | Scott, Holly, Brian — each with own personas | | Multi-user | ✅ Live | Scott, Holly, Brian — each with own personas |
| Session search | ✅ Live | Full-text search across past session logs | | Session search | ✅ Live | Full-text search across past session logs |

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@@ -27,6 +27,13 @@ Gemini API orchestrator for private/offline tasks.
## 🟡 Medium Priority ## 🟡 Medium Priority
### [Models] Model Registry V2 — Unified Provider System
See `DESIGN__Model_Registry_V2.md` for full design.
- [x] **Phase 1** — V2 schema with providers (Anthropic/Google), multi-account Gemini, auto migration, orchestrator uses account API key — 2026-04-27
- [ ] **Phase 2** — Cloud provider UI: Anthropic + Google sections in `/settings/models`, account management, model entry creation for cloud models
- [ ] **Phase 3** — Unified roles + toggle redesign: standalone role assignments, chat toggle cycles role slots (Primary/Backup 1/Backup 2) showing model label
- [ ] **Phase 4** — Polish: Claude API key, OpenRouter as named provider, catalog sync from API
### [Intelligence] Knowledge consolidation — Phase 1 ### [Intelligence] Knowledge consolidation — Phase 1
See `ARCH__Intelligence_Layer.md` for full design. See `ARCH__Intelligence_Layer.md` for full design.
- [x] Tool: `ae_journal_search` — search before creating to avoid duplicates - [x] Tool: `ae_journal_search` — search before creating to avoid duplicates