* Studio: per-session cost calculator + /api/providers/pricing endpoint Neither the Anthropic Messages API nor the OpenAI Responses API reports a `cost` field on the response. Both expose detailed token counts (input, output, cache hits, server-tool invocations); pricing multipliers live in the provider docs. The frontend's "cost so far" display was impossible without scraping the server log. Land the math + a snapshot endpoint so the cost calculator can run client-side from the existing usage chunk plumbing. The actual UI hookup belongs in a frontend follow-up (and is gated on PR #5670's usage-chunk emission landing so the frontend sees the usage block in the first place). Changes: - New `core/inference/pricing.py` with: - Per-MTok base pricing tables for every active Anthropic and gpt-5.x family member. Dated snapshots inherit the canonical-id price via prefix match so future snapshots cost the same as the canonical id until pricing changes. - Shared multipliers for Anthropic cache writes (5m: 1.25x, 1h: 2x) and reads (0.1x); OpenAI cache reads (0.1x); Anthropic server tool surcharges ($10 / 1k web_search, $0.05 / hour code_exec beyond the 50-hour daily free tier). - `calculate_cost(provider, model, usage)` returns a per-turn USD breakdown plus billable token counts, with priced=False for unknown models so the UI can still render token counts. - `pricing_snapshot()` returns the whole table for the frontend so it doesn't re-implement the multipliers. - New `GET /api/providers/pricing` returning the snapshot, scoped behind the existing auth dependency. - New `backend/tests/test_pricing.py` with 12 cases pinning the math against documented values: base input/output multiplication, 5m / 1h / read multipliers, default-to-5m fallback when the breakdown is absent, web_search per-1k pricing, code_execution per-hour pricing, dated-snapshot fallback, OpenAI cache-read discount accounting (cached tokens subtracted from full-price bucket and re-billed at 0.1x), unknown model graceful-degrade, and the snapshot endpoint shape. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Studio: verified OpenAI pricing + fix billable input double-count Address the cost-calculator review: - OpenAI prices were 2-6x under the actual published rates. Cross-checked the live developers.openai.com/api/docs/pricing page and replaced every entry. gpt-5.5 is 5/30, gpt-5.5-pro is 30/180, gpt-5.4 is 2.5/15, gpt-5.4-mini 0.75/4.5, gpt-5.4-nano 0.20/1.25, gpt-5.3-codex 1.75/14. Added chat-latest alias to the canonical chat-snapshot rate. Dropped o3 / o4 / gpt-4.5 rows that are no longer listed on the page; calculator returns priced=False instead of silently billing at zero. - billable_input_tokens was double-counting cached tokens for OpenAI. Anthropic excludes cache_* buckets from input_tokens so we add them; OpenAI folds cache_read_input_tokens into input_tokens already, so the tooltip read 1.8M for a 1.0M bill. Branched the math by provider and added a regression test. Sourcing notes in the module docstring updated. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address review: canonical 4.5 ids, long-context tier, OpenAI tool fees Three Codex P1 follow-ups on the cost calculator: 1. Canonical Anthropic 4.5 ids missing from ANTHROPIC_PRICING. claude-opus-4-5 / claude-sonnet-4-5 / claude-haiku-4-5 (no date suffix) are the ids used by backend defaults (PROVIDER_REGISTRY['anthropic'].default_models), but the table only had the dated forms. _lookup's prefix fallback doesn't help because the canonical id is SHORTER than the dated key, so str.startswith goes the wrong way and the calculator returned priced=False + zero cost. Added the canonical aliases for opus-4-5, sonnet-4-5, haiku-4-5, and opus-4-1. 2. OpenAI long-context tier. gpt-5.5 and gpt-5.4 cross over at 272k input tokens to a 2x input / 1.5x output rate (gpt-5.5: $5/$30 -> $10/$45; gpt-5.4: $2.50/$15 -> $5/$22.50). Turns past the threshold were systematically undercounted at headline rates. Added long_context_threshold / long_context_input_per_mtok / long_context_output_per_mtok columns and a tier-selection step in calculate_cost; model_priced gains a "(long-context >272000)" suffix when the higher tier applies so the tooltip can show which rate was used. gpt-5.5-pro / gpt-5.4-pro / mini / nano / codex have no published long-context tier today, so they keep a single rate. 3. OpenAI server-tool surcharges. web_search is $10/1000 calls and the hosted shell container is $0.03 per 20-minute session on the default 1g tier (~$0.09/hr). server_tools_usd was previously stuck at 0.0 for OpenAI even when web_search and shell tools fired, so sessions with tool use understated cost. Added OPENAI_WEB_SEARCH_USD_PER_1K and OPENAI_CONTAINER_USD_PER_HOUR constants plus a parallel of the Anthropic surcharge block that reads counts from usage["openai_tool_use"]. The SSE translator wires the counts in a follow-up commit; the calculator is now ready for them. pricing_snapshot also exposes both constants so the frontend tooltip can render the per-call rate. Existing tests updated to stay in the short-context tier where they were testing base rates; new tests pin canonical 4.5 lookups, long-context crossover on gpt-5.5/gpt-5.4, the absence of crossover on mini/nano/codex, and OpenAI tool surcharges (web_search, container hours, combined total). * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
361 lines
12 KiB
Python
361 lines
12 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""
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API routes for external LLM provider management.
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Provides endpoints for:
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- Discovering available provider types (registry)
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- CRUD for saved provider configurations (no API keys stored)
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- Fetching the RSA public key for API key encryption
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- Testing provider connectivity
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- Listing models from a provider
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"""
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import uuid
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import structlog
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from fastapi import APIRouter, Depends, HTTPException
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from auth.authentication import get_current_subject
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from core.inference.key_exchange import (
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decrypt_api_key,
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get_public_key_fingerprint,
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get_public_key_pem,
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)
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from core.inference.providers import (
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get_base_url,
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get_provider_info,
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list_available_providers,
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)
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from core.inference.pricing import pricing_snapshot
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from core.inference.external_provider import ExternalProviderClient
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from models.providers import (
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ProviderCreate,
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ProviderModelsRequest,
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ProviderModelInfo,
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ProviderResponse,
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ProviderRegistryEntry,
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ProviderTestRequest,
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ProviderTestResult,
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ProviderUpdate,
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)
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from storage import providers_db
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logger = structlog.get_logger(__name__)
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router = APIRouter()
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# ── Public key for API key encryption ─────────────────────────────
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@router.get("/public-key")
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async def get_public_key(
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current_subject: str = Depends(get_current_subject),
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):
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"""Return the RSA public key PEM for client-side API key encryption.
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The ``fingerprint`` field is a short SHA256 of the PEM and is meant
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purely for diagnostics — a mismatch between what the frontend
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captured at encrypt time and what the server reports here is a
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clear signal that the keypair rotated mid-flight (e.g. the server
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re-ran ``init_key_pair`` for any reason).
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"""
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return {
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"public_key": get_public_key_pem(),
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"fingerprint": get_public_key_fingerprint(),
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}
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# ── Provider registry (static) ───────────────────────────────────
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@router.get("/registry", response_model = list[ProviderRegistryEntry])
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async def list_registry(
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current_subject: str = Depends(get_current_subject),
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):
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"""List all supported provider types with their default configurations."""
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return list_available_providers()
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# ── Per-MTok pricing snapshot for client-side cost display ──────────
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@router.get("/pricing")
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async def get_pricing_snapshot(
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current_subject: str = Depends(get_current_subject),
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):
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"""Static per-MTok pricing table the frontend uses to convert
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upstream usage chunks into a per-turn USD cost. See
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``core/inference/pricing.py`` for sourcing notes; values reflect
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the published prices as of the file's last update."""
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return pricing_snapshot()
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# ── Provider config CRUD ──────────────────────────────────────────
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@router.get("/", response_model = list[ProviderResponse])
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async def list_provider_configs(
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current_subject: str = Depends(get_current_subject),
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):
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"""List all saved provider configurations."""
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rows = providers_db.list_providers()
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return [
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ProviderResponse(
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id = row["id"],
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provider_type = row["provider_type"],
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display_name = row["display_name"],
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base_url = row["base_url"],
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is_enabled = bool(row["is_enabled"]),
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created_at = row["created_at"],
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updated_at = row["updated_at"],
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)
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for row in rows
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]
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@router.post("/", response_model = ProviderResponse, status_code = 201)
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async def create_provider_config(
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payload: ProviderCreate,
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current_subject: str = Depends(get_current_subject),
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):
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"""Create a new saved provider configuration (no API key stored)."""
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info = get_provider_info(payload.provider_type)
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if info is None:
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raise HTTPException(
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status_code = 400,
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detail = f"Unknown provider type: {payload.provider_type}. "
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f"Use GET /api/providers/registry to see available types.",
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)
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provider_id = uuid.uuid4().hex[:16]
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base_url = payload.base_url or info["base_url"]
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providers_db.create_provider(
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id = provider_id,
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provider_type = payload.provider_type,
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display_name = payload.display_name,
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base_url = base_url,
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)
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row = providers_db.get_provider(provider_id)
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return ProviderResponse(
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id = row["id"],
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provider_type = row["provider_type"],
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display_name = row["display_name"],
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base_url = row["base_url"],
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is_enabled = bool(row["is_enabled"]),
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created_at = row["created_at"],
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updated_at = row["updated_at"],
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)
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@router.put("/{provider_id}", response_model = ProviderResponse)
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async def update_provider_config(
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provider_id: str,
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payload: ProviderUpdate,
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current_subject: str = Depends(get_current_subject),
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):
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"""Update a saved provider configuration."""
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existing = providers_db.get_provider(provider_id)
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if not existing:
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raise HTTPException(status_code = 404, detail = "Provider not found")
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updated = providers_db.update_provider(
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id = provider_id,
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display_name = payload.display_name,
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base_url = payload.base_url,
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is_enabled = payload.is_enabled,
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)
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if not updated:
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raise HTTPException(status_code = 400, detail = "No fields to update")
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row = providers_db.get_provider(provider_id)
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return ProviderResponse(
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id = row["id"],
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provider_type = row["provider_type"],
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display_name = row["display_name"],
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base_url = row["base_url"],
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is_enabled = bool(row["is_enabled"]),
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created_at = row["created_at"],
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updated_at = row["updated_at"],
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)
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@router.delete("/{provider_id}", status_code = 204)
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async def delete_provider_config(
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provider_id: str,
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current_subject: str = Depends(get_current_subject),
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):
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"""Delete a saved provider configuration."""
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deleted = providers_db.delete_provider(provider_id)
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if not deleted:
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raise HTTPException(status_code = 404, detail = "Provider not found")
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# ── Test connectivity ─────────────────────────────────────────────
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@router.post("/test", response_model = ProviderTestResult)
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async def test_provider(
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payload: ProviderTestRequest,
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current_subject: str = Depends(get_current_subject),
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):
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"""
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Test connectivity to an external provider.
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Makes a lightweight GET /models call to verify the API key works.
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The encrypted_api_key is decrypted server-side and never stored.
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"""
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info = get_provider_info(payload.provider_type)
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if info is None:
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raise HTTPException(
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status_code = 400,
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detail = f"Unknown provider type: {payload.provider_type}",
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)
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api_key = ""
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if payload.encrypted_api_key:
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try:
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api_key = decrypt_api_key(payload.encrypted_api_key)
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except Exception as exc:
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logger.warning(
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"Failed to decrypt API key (%s): %s", type(exc).__name__, exc
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)
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raise HTTPException(
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status_code = 400,
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detail = "Failed to decrypt API key. The public key may have changed — try refreshing the page.",
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)
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base_url = payload.base_url or info["base_url"]
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client = ExternalProviderClient(
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provider_type = payload.provider_type,
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base_url = base_url,
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api_key = api_key,
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timeout = 15.0,
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)
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try:
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if info.get("model_list_mode") == "curated":
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await client.verify_models_endpoint_lightweight()
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return ProviderTestResult(
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success = True,
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message = (
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"Connected successfully. Full model list is not fetched for this provider — "
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"use suggestions and manual model IDs in the dialog."
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),
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models_count = None,
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)
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models = await client.list_models()
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return ProviderTestResult(
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success = True,
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message = f"Connected successfully. Found {len(models)} model(s).",
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models_count = len(models),
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)
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except Exception as exc:
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logger.warning("Provider test failed for %s: %s", payload.provider_type, exc)
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return ProviderTestResult(
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success = False,
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message = f"Connection failed: {exc}",
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models_count = None,
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)
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finally:
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await client.close()
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# ── List models from provider ─────────────────────────────────────
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@router.post("/models", response_model = list[ProviderModelInfo])
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async def list_provider_models(
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payload: ProviderModelsRequest,
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current_subject: str = Depends(get_current_subject),
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):
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"""
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List models available from an external provider.
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The encrypted_api_key is decrypted server-side and never stored.
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"""
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info = get_provider_info(payload.provider_type)
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if info is None:
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raise HTTPException(
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status_code = 400,
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detail = f"Unknown provider type: {payload.provider_type}",
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)
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api_key = ""
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if payload.encrypted_api_key:
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try:
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api_key = decrypt_api_key(payload.encrypted_api_key)
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except Exception as exc:
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logger.warning(
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"Failed to decrypt API key (%s): %s", type(exc).__name__, exc
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)
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raise HTTPException(
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status_code = 400,
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detail = "Failed to decrypt API key. The public key may have changed — try refreshing the page.",
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)
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if info.get("model_list_mode") == "curated":
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return [
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ProviderModelInfo(
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id = m,
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display_name = m,
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context_length = None,
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owned_by = None,
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)
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for m in info.get("default_models", [])
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]
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base_url = payload.base_url or info["base_url"]
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client = ExternalProviderClient(
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provider_type = payload.provider_type,
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base_url = base_url,
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api_key = api_key,
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timeout = 15.0,
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)
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try:
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models = await client.list_models()
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allow_prefixes = info.get("model_id_allow_prefixes")
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if allow_prefixes is not None:
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prefix_tuple = tuple(str(p) for p in allow_prefixes if str(p))
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if prefix_tuple:
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models = [m for m in models if m.get("id", "").startswith(prefix_tuple)]
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allowlist = info.get("model_id_allowlist")
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if allowlist is not None:
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models = [m for m in models if allowlist.match(m.get("id", ""))]
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deny_exact = info.get("model_id_deny_exact")
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if deny_exact is not None:
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deny_ids = {str(m) for m in deny_exact if str(m)}
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if deny_ids:
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models = [m for m in models if m.get("id", "") not in deny_ids]
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denylist = info.get("model_id_denylist")
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if denylist is not None:
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models = [m for m in models if not denylist.search(m.get("id", ""))]
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# Apply an optional cap after filtering so registry entries with a
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# large remote catalog (e.g. HF Inference Providers) can stay
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# picker-sized. No popularity sort happens server-side, so this is
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# "first N matches" — pair with default_models for any must-have
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# flagship ids.
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limit = info.get("model_id_limit")
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if isinstance(limit, int) and limit > 0:
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models = models[:limit]
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return [
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ProviderModelInfo(
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id = m.get("id", ""),
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display_name = m.get("id", ""),
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context_length = m.get("context_length") or m.get("context_window"),
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owned_by = m.get("owned_by"),
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)
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for m in models
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]
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except Exception as exc:
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logger.error("Failed to list models from %s: %s", payload.provider_type, exc)
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raise HTTPException(
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status_code = 502,
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detail = f"Failed to list models from {payload.provider_type}: {exc}",
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)
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finally:
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await client.close()
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