Files
provenance/backend/app/api/deps.py
T
justin c6b1e72130 Per-tree AI model policy (owner-only admin view)
The operator decides which model providers exist (env / registry — Anthropic,
OpenAI, x.AI, Ollama, several at once). The *tree owner* decides who uses which:

- Members' assistant -> one configured provider (or none)
- Recommender (association/connection finder) -> one configured provider (or none)
- Owner -> may use any configured provider

Backend: two nullable columns on `trees` (ai_member_provider,
ai_recommender_provider) + migration; `configured_llm_providers()` exposes the
registry as {name, model} with no secrets; owner-gated GET/PATCH
/trees/{id}/ai validate names against the configured set. Frontend: owner-only
"AI models" page with a dropdown per role, graceful 403 for non-owners, and a
sidebar link.

Per-model-within-a-provider selection is a follow-up; today each provider maps
to its single configured model.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Signed-off-by: Justin Paul <justin@jpaul.me>
2026-06-09 20:52:30 -04:00

153 lines
5.8 KiB
Python

"""Shared API dependencies: DB session, the authenticated user, and the mailer."""
from typing import Annotated
from fastapi import Depends, HTTPException, Request, status
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import get_settings
from app.core.db import get_session
from app.integrations.mailer.base import Mailer
from app.integrations.mailer.console import ConsoleMailer
from app.integrations.mailer.smtp import SMTPMailer
from app.integrations.models.base import EmbeddingProvider, LLMProvider
from app.integrations.models.null import NullEmbeddingProvider, NullLLMProvider
from app.integrations.objectstore.base import ObjectStore
from app.integrations.objectstore.s3 import S3ObjectStore
from app.models.user import User
from app.services import auth_service
SessionDep = Annotated[AsyncSession, Depends(get_session)]
def extract_session_token(request: Request) -> str | None:
"""Bearer header (API clients) takes precedence over the session cookie
(browser)."""
authorization = request.headers.get("authorization")
if authorization and authorization.lower().startswith("bearer "):
return authorization[7:].strip()
return request.cookies.get(get_settings().cookie_name)
async def get_current_user(request: Request, session: SessionDep) -> User:
raw_token = extract_session_token(request)
if raw_token is None:
raise HTTPException(status.HTTP_401_UNAUTHORIZED, "authentication required")
user = await auth_service.resolve_session_user(session, raw_token=raw_token)
if user is None:
raise HTTPException(status.HTTP_401_UNAUTHORIZED, "invalid or expired session")
return user
CurrentUser = Annotated[User, Depends(get_current_user)]
async def get_current_user_or_none(request: Request, session: SessionDep) -> User | None:
"""Optional auth for public read endpoints — never raises. Returns the user
when a valid session is present, else None (anonymous viewer)."""
raw_token = extract_session_token(request)
if raw_token is None:
return None
return await auth_service.resolve_session_user(session, raw_token=raw_token)
CurrentUserOrNone = Annotated[User | None, Depends(get_current_user_or_none)]
def get_mailer() -> Mailer:
settings = get_settings()
if settings.mailer == "smtp" and settings.smtp_host:
return SMTPMailer(settings)
return ConsoleMailer()
MailerDep = Annotated[Mailer, Depends(get_mailer)]
def get_objectstore() -> ObjectStore:
return S3ObjectStore(get_settings())
ObjectStoreDep = Annotated[ObjectStore, Depends(get_objectstore)]
def build_llm_providers() -> dict[str, LLMProvider]:
"""Every LLM provider whose credentials are configured, keyed by name. Run
several at once; pick one with get_llm_provider(name)."""
from app.integrations.models.anthropic_provider import AnthropicLLMProvider
from app.integrations.models.openai_compat import OpenAICompatibleLLMProvider
s = get_settings()
providers: dict[str, LLMProvider] = {}
if s.anthropic_api_key:
providers["anthropic"] = AnthropicLLMProvider(
api_key=s.anthropic_api_key, model=s.anthropic_model, max_tokens=s.llm_max_tokens
)
if s.openai_api_key:
providers["openai"] = OpenAICompatibleLLMProvider(
api_key=s.openai_api_key, base_url=s.openai_base_url, model=s.openai_model,
max_tokens=s.llm_max_tokens,
)
if s.xai_api_key:
providers["xai"] = OpenAICompatibleLLMProvider(
api_key=s.xai_api_key, base_url=s.xai_base_url, model=s.xai_model,
max_tokens=s.llm_max_tokens,
)
if s.ollama_enabled:
providers["ollama"] = OpenAICompatibleLLMProvider(
api_key=None, base_url=s.ollama_base_url, model=s.ollama_model,
max_tokens=s.llm_max_tokens,
)
return providers
def configured_llm_providers() -> list[dict]:
"""Configured LLM providers as {name, model} — for the AI admin view (no
secrets). Mirrors build_llm_providers() without constructing clients."""
s = get_settings()
out: list[dict] = []
if s.anthropic_api_key:
out.append({"name": "anthropic", "model": s.anthropic_model})
if s.openai_api_key:
out.append({"name": "openai", "model": s.openai_model})
if s.xai_api_key:
out.append({"name": "xai", "model": s.xai_model})
if s.ollama_enabled:
out.append({"name": "ollama", "model": s.ollama_model})
return out
def get_llm_provider(name: str | None = None) -> LLMProvider:
"""The named LLM provider, or the configured default, or Null if unconfigured."""
providers = build_llm_providers()
return providers.get(name or get_settings().default_llm_provider) or NullLLMProvider()
LLMProviderDep = Annotated[LLMProvider, Depends(get_llm_provider)]
def build_embedding_providers() -> dict[str, EmbeddingProvider]:
from app.integrations.models.openai_compat import OpenAICompatibleEmbeddingProvider
s = get_settings()
providers: dict[str, EmbeddingProvider] = {}
if s.openai_api_key:
providers["openai"] = OpenAICompatibleEmbeddingProvider(
api_key=s.openai_api_key, base_url=s.openai_base_url,
model=s.openai_embedding_model, dimensions=s.embedding_dimensions,
)
if s.ollama_enabled:
providers["ollama"] = OpenAICompatibleEmbeddingProvider(
api_key=None, base_url=s.ollama_base_url,
model=s.ollama_embedding_model, dimensions=s.embedding_dimensions,
)
return providers
def get_embedding_provider(name: str | None = None) -> EmbeddingProvider:
providers = build_embedding_providers()
return providers.get(name or get_settings().default_embedding_provider) or NullEmbeddingProvider()
EmbeddingProviderDep = Annotated[EmbeddingProvider, Depends(get_embedding_provider)]