feat: 接入模型动态 Fallback 与调用审计

core/backend/apps/ai/apps.py

@@ -1,7 +1,18 @@
 from django.apps import AppConfig
+from django.core.exceptions import ImproperlyConfigured
 
 
 class AiConfig(AppConfig):
     default_auto_field = "django.db.models.BigAutoField"
     name = "apps.ai"
 
+    def ready(self) -> None:
+        # API 与 Celery Worker 都会在 Django 启动时经过这里。路由策略一旦配置错误就立即失败，
+        # 避免两端带着不同或不可控的超时、重试规则继续运行。
+        from .routing_policy import RoutingPolicyConfigurationError, load_model_routing_policy
+
+        try:
+            load_model_routing_policy()
+        except RoutingPolicyConfigurationError as exc:
+            raise ImproperlyConfigured(f"模型路由策略配置错误：{exc}") from exc
+

core/backend/apps/ai/catalog.py

@@ -2,12 +2,15 @@ VOLCANO_PROVIDER = {
     "name": "volcengine",
     "display_name": "火山引擎(豆包)",
     "base_url": "https://ark.cn-beijing.volces.com/api/v3",
+    # Fallback 候选排序：数字越小越优先。运行时只读配置，不识别供应商名称。
+    "metadata": {"routing": {"fallback_priority": 10}},
 }
 
 YUNQI_PROVIDER = {
     "name": "yunqi",
     "display_name": "YunQi AI(New API 网关)",
     "base_url": "https://www.yunqiai.chat/v1",
+    "metadata": {"routing": {"fallback_priority": 20}},
 }
 
 YUNQI_MODELS = [
@@ -16,7 +19,12 @@ YUNQI_MODELS = [
         "name": "gpt-image-2",
         "capability": "image",
         "endpoint": "images/generations",
-        "metadata": {"modes": ["text"], "response_format": "b64_json", "source": "https://www.yunqiai.chat"},
+        "metadata": {
+            "modes": ["text", "singleImage", "multiReference"],
+            "supports_reference": True,
+            "response_format": "b64_json",
+            "source": "https://www.yunqiai.chat",
+        },
     },
 ]
 
@@ -132,3 +140,78 @@ VOLCANO_MODELS = [
     },
 ]
 
+
+IMAGE_RATIOS = ["1:1", "3:4", "4:5", "9:16", "16:9"]
+VIDEO_RATIOS = ["21:9", "16:9", "4:3", "1:1", "3:4", "9:16"]
+
+
+def _mode_limit(modes: set[str], prefix: str) -> int:
+    for mode in modes:
+        if mode.startswith(f"{prefix}:"):
+            try:
+                return int(mode.split(":", 1)[1])
+            except (TypeError, ValueError):
+                return 0
+    return 0
+
+
+def _catalog_capabilities(item: dict) -> dict:
+    """由模型目录声明生成最小能力契约；只用于写库初始化，不参与运行时猜测。"""
+
+    capability = item["capability"]
+    metadata = item["metadata"]
+    if capability == "text":
+        return {"operations": ["chat"], "features": ["streaming", "structured_output"]}
+    if capability == "image":
+        modes = set(metadata.get("modes") or [])
+        supports_reference = bool(metadata.get("supports_reference")) or bool(
+            modes & {"singleImage", "multiReference"}
+        )
+        return {
+            "operations": ["image_generate", "image_edit"] if supports_reference else ["image_generate"],
+            "features": [],
+            "reference_modes": ["none", "single", "multiple"] if supports_reference else ["none"],
+            "max_reference_images": 9 if supports_reference else 0,
+            "aspect_ratios": IMAGE_RATIOS,
+        }
+    if capability == "video":
+        modes = set(metadata.get("modes") or [])
+        features = ["text_to_video"]
+        for mode, feature in (
+            ("startFrameOptional", "start_frame"),
+            ("lastFrameOptional", "last_frame"),
+            ("imageReference:9", "image_reference"),
+            ("videoReference:3", "video_reference"),
+            ("audioReference:3", "audio_reference"),
+        ):
+            if mode in modes:
+                features.append(feature)
+        if metadata.get("audio") in {"optional", "required", True}:
+            features.append("generate_audio")
+        return {
+            "operations": ["video_generate"],
+            "features": features,
+            "max_reference_images": _mode_limit(modes, "imageReference"),
+            "max_reference_videos": _mode_limit(modes, "videoReference"),
+            "max_reference_audios": _mode_limit(modes, "audioReference"),
+            "aspect_ratios": VIDEO_RATIOS,
+            "resolutions": list(metadata.get("resolutions") or []),
+            "durations": list(metadata.get("durations") or []),
+        }
+    return {}
+
+
+def _enrich_catalog_routing(items: list[dict], *, fallback_on_failure: bool) -> None:
+    for item in items:
+        metadata = item["metadata"]
+        metadata["routing"] = {
+            "fallback_on_failure": fallback_on_failure,
+            "fallback_candidate": True,
+        }
+        metadata["capabilities"] = _catalog_capabilities(item)
+
+
+# 火山当前只作为候选、不向外切；YunQi 可在失败后切换。以后调整只改数据库 metadata。
+_enrich_catalog_routing(VOLCANO_MODELS, fallback_on_failure=False)
+_enrich_catalog_routing(YUNQI_MODELS, fallback_on_failure=True)
+

core/backend/apps/ai/free_video.py

@@ -15,6 +15,7 @@ import logging
 import re
 import uuid
 from datetime import timedelta
+from decimal import Decimal
 from io import BytesIO
 
 from django.conf import settings
@@ -272,18 +273,33 @@ def _reap_stale_free_video_tasks(*, team) -> None:
     · SUBMITTED/POLLING 超 2 小时:轮询链早已断且无人认领(正常出片 5-10 分钟)→ 标失败退费;
     · POSTPROCESSING 超 30 分钟:转存/结算中途崩溃 → 标失败退费(火山可能已出片,平台承担该笔成本)。"""
     now = timezone.now()
+    from .routing_policy import load_model_routing_policy
+
+    video_policy = load_model_routing_policy().video
     buckets = [
-        ([AITask.Status.RESERVED], now - timedelta(minutes=10), "任务未在预期时间内提交(自动回收)"),
-        ([AITask.Status.SUBMITTED, AITask.Status.POLLING], now - timedelta(hours=2), "生成超时(自动回收)"),
-        ([AITask.Status.POSTPROCESSING], now - timedelta(minutes=30), "视频结果处理超时(自动回收)"),
+        (
+            [AITask.Status.RESERVED],
+            {"updated_at__lt": now - timedelta(seconds=video_policy.submit_total_timeout)},
+            "任务未在配置的提交总时限内完成(自动回收)",
+        ),
+        (
+            [AITask.Status.SUBMITTED, AITask.Status.POLLING],
+            {"submitted_at__lt": now - timedelta(seconds=video_policy.generation_timeout)},
+            "生成超过配置的成片等待总时限(自动回收)",
+        ),
+        (
+            [AITask.Status.POSTPROCESSING],
+            {"updated_at__lt": now - timedelta(minutes=30)},
+            "视频结果处理超时(自动回收)",
+        ),
     ]
-    for statuses, cutoff, reason in buckets:
+    for statuses, stale_filter, reason in buckets:
         stale = AITask.objects.filter(
             team=team,
             project__isnull=True,
             task_type=AITask.Type.FREE_VIDEO,
             status__in=statuses,
-            updated_at__lt=cutoff,
+            **stale_filter,
         )
         for task in stale:
             try:
@@ -404,6 +420,7 @@ def submit_free_video(*, team, user, params: dict) -> AITask:
         "price_multiplier": quote.meta.get("price_multiplier", "1"),
         "points_per_yuan_snapshot": quote.meta.get("rate", ""),
         "references": built["snapshots"],
+        "model_routing_v1": True,
     }
 
     # 建任务 + 预留同一事务:余额不足/限额拦截时回滚任务行,不留半套
@@ -418,7 +435,7 @@ def submit_free_video(*, team, user, params: dict) -> AITask:
             idempotency_key=f"free_video:{team.id}:{uuid.uuid4()}",
             request_payload=request_payload,
             estimated_cost=quote.points,
-            base_cost=quote.base_cost_yuan,
+            base_cost=Decimal("0"),
         )
         try:
             reserve_credit(team=team, user=user, task=task, amount=reserve_amount)
@@ -431,26 +448,44 @@ def submit_free_video(*, team, user, params: dict) -> AITask:
 
     # 火山调用在事务外(不持锁调外网)
     try:
-        from .services import build_provider
+        from .services import execute_routed_video_submit
 
-        provider = build_provider(model_config)
-        response = provider.create_video_task(
-            model=model_config.name,
-            endpoint=model_config.endpoint,
+        routed = execute_routed_video_submit(
+            task=task,
+            primary_model=model_config,
             prompt=built["api_prompt"],
             ratio=aspect_ratio,
             duration=duration,
             resolution=resolution,
-            generate_audio=generate_audio,
+            reference_images=[],
             content_items=built["content_items"],
+            pricing_references=built["snapshots"],
+            generate_audio=generate_audio,
             seed=seed if seed != -1 else None,
             search_mode=search_mode,
+            request_summary={"feature": "free_video", "mode": mode},
         )
-        task.provider_task_id = str(response.get("id") or response.get("task_id") or "")
+        response, provider_task_id = routed.value
+        # execute_model_call 以原子 F 表达式累计实际尝试的平台成本；刷新内存对象，
+        # 保证本方法返回值与数据库中的 AITask.base_cost 完全一致。
+        task.refresh_from_db(fields=["base_cost"])
+        task.provider_task_id = provider_task_id
         task.response_payload = response
+        payload = dict(task.request_payload or {})
+        payload["actual_model_config_id"] = str(routed.actual_model.id)
+        task.request_payload = payload
         task.status = AITask.Status.SUBMITTED
         task.submitted_at = timezone.now()
-        task.save(update_fields=["provider_task_id", "response_payload", "status", "submitted_at", "updated_at"])
+        task.save(
+            update_fields=[
+                "provider_task_id",
+                "response_payload",
+                "request_payload",
+                "status",
+                "submitted_at",
+                "updated_at",
+            ]
+        )
     except Exception as exc:  # noqa: BLE001 — 创建失败:标失败退费,返回失败卡(不向上抛)
         code, raw_message = parse_provider_error(exc)
         public_error = classify_generation_error(
@@ -577,11 +612,47 @@ def finalize_free_video(*, task: AITask) -> AITask:
     if not task.provider_task_id:
         return task
 
-    from .services import build_provider
+    from .routing_policy import load_model_routing_policy
+    from .services import get_video_provider
 
-    provider = build_provider(task.model_config)
+    video_policy = load_model_routing_policy().video
+    if task.submitted_at and (
+        timezone.now() - task.submitted_at
+    ).total_seconds() >= video_policy.generation_timeout:
+        timeout_message = "视频生成超过配置的成片等待总时限"
+        public_error = classify_generation_error(
+            TimeoutError(timeout_message),
+            operation="video_generate",
+            reference_id=str(task.id),
+        )
+        with transaction.atomic():
+            locked = AITask.objects.select_for_update().get(id=task.id)
+            if locked.status not in (AITask.Status.SUBMITTED, AITask.Status.POLLING):
+                return locked
+            locked.status = AITask.Status.FAILED
+            locked.error_code = "GenerationTimeout"
+            locked.error_message = timeout_message
+            locked.completed_at = timezone.now()
+            locked.save(
+                update_fields=["status", "error_code", "error_message", "completed_at", "updated_at"]
+            )
+            release_credit(reservation=locked.credit_reservation, reason=timeout_message)
+        _notify_failure(locked, raw=timeout_message, hint=public_error.fallback_message)
+        return locked
+
+    submit_attempt = (
+        task.model_attempts.filter(status="succeeded", operation="video_generate")
+        .select_related("model_config__provider")
+        .order_by("-sequence")
+        .first()
+    )
+    actual_model = submit_attempt.model_config if submit_attempt and submit_attempt.model_config else task.model_config
+
+    provider = get_video_provider(actual_model)
     response = provider.poll_video_task(
-        endpoint=task.model_config.endpoint, provider_task_id=task.provider_task_id
+        endpoint=actual_model.endpoint,
+        provider_task_id=task.provider_task_id,
+        timeout=video_policy.poll_request_timeout,
     )
     remote_status = str(response.get("status") or "")
 
@@ -647,7 +718,7 @@ def finalize_free_video(*, task: AITask) -> AITask:
             from decimal import Decimal
 
             settle = quote_video_actual(
-                locked.model_config, tokens=total_tokens, with_video_ref=with_video_ref, resolution=resolution,
+                actual_model, tokens=total_tokens, with_video_ref=with_video_ref, resolution=resolution,
                 multiplier=Decimal(str(payload.get("price_multiplier") or "1")),
             )
             actual, base_cost = settle.points, settle.base_cost_yuan

core/backend/apps/ai/migrations/0028_seed_model_routing_metadata.py

@@ -0,0 +1,154 @@
+"""为存量供应商和模型补齐动态 Fallback 路由与最小能力配置。
+
+运行时解析器不识别供应商名或模型名；这里仅把当前产品已经确认的火山/YunQi优先级
+写入数据库 metadata。以后新增供应商或模型只维护 metadata，不需要修改路由代码。
+"""
+
+from django.db import migrations
+
+
+DIRECT_PROVIDER_NAMES = {"volcengine", "volcano", "ark", "volcano_ark", "doubao"}
+IMAGE_RATIOS = ["1:1", "3:4", "4:5", "9:16", "16:9"]
+VIDEO_RATIOS = ["21:9", "16:9", "4:3", "1:1", "3:4", "9:16"]
+VOICE_MAP = {
+    "BV700_streaming": "BV700_streaming",
+    "BV034_streaming": "BV034_streaming",
+    "BV001_streaming": "BV001_streaming",
+    "BV056_streaming": "BV056_streaming",
+    "BV102_streaming": "BV102_streaming",
+    "BV002_streaming": "BV002_streaming",
+}
+
+
+def _provider_priority(name):
+    if name in DIRECT_PROVIDER_NAMES:
+        return 10
+    if name == "yunqi" or name.startswith("yunqi_"):
+        return 20
+    return 100
+
+
+def _mode_limit(modes, prefix, default=0):
+    for mode in modes:
+        if mode.startswith(prefix):
+            _, _, raw = mode.partition(":")
+            try:
+                return int(raw)
+            except (TypeError, ValueError):
+                return default
+    return default
+
+
+def _capabilities(model):
+    metadata = dict(model.metadata or {})
+    capability = model.capability
+    if capability == "text":
+        return {
+            "operations": ["chat"],
+            "features": ["streaming", "structured_output"],
+        }
+    if capability == "image":
+        modes = {str(item) for item in metadata.get("modes") or []}
+        supports_reference = bool(metadata.get("supports_reference")) or bool(
+            modes & {"singleImage", "multiReference"}
+        )
+        reference_modes = ["none"]
+        if supports_reference or "singleImage" in modes:
+            reference_modes.append("single")
+        if supports_reference or "multiReference" in modes:
+            reference_modes.append("multiple")
+        operations = ["image_generate"]
+        if supports_reference:
+            operations.append("image_edit")
+        return {
+            "operations": operations,
+            "features": [],
+            "reference_modes": reference_modes,
+            "max_reference_images": 9 if supports_reference else 0,
+            "aspect_ratios": IMAGE_RATIOS,
+        }
+    if capability == "video":
+        modes = {str(item) for item in metadata.get("modes") or []}
+        features = ["text_to_video"]
+        for mode, feature in (
+            ("startFrameOptional", "start_frame"),
+            ("lastFrameOptional", "last_frame"),
+            ("imageReference:9", "image_reference"),
+            ("videoReference:3", "video_reference"),
+            ("audioReference:3", "audio_reference"),
+        ):
+            if mode in modes:
+                features.append(feature)
+        if metadata.get("audio") in {"optional", "required", True}:
+            features.append("generate_audio")
+        return {
+            "operations": ["video_generate"],
+            "features": features,
+            "max_reference_images": _mode_limit(modes, "imageReference", 0),
+            "max_reference_videos": _mode_limit(modes, "videoReference", 0),
+            "max_reference_audios": _mode_limit(modes, "audioReference", 0),
+            "aspect_ratios": VIDEO_RATIOS,
+            "resolutions": list(metadata.get("resolutions") or []),
+            "durations": list(metadata.get("durations") or []),
+        }
+    if capability == "audio":
+        return {
+            "operations": ["tts"],
+            "features": [],
+            "languages": ["zh-CN"],
+            "voice_map": VOICE_MAP,
+            "max_chars": 10000,
+            "speed_range": [0.5, 2.0],
+            "output_formats": ["mp3"],
+        }
+    return {}
+
+
+def apply(apps, schema_editor):
+    ModelProvider = apps.get_model("ai", "ModelProvider")
+    ModelConfig = apps.get_model("ai", "ModelConfig")
+
+    for provider in ModelProvider.objects.all().iterator():
+        metadata = dict(provider.metadata or {})
+        routing = dict(metadata.get("routing") or {})
+        routing.setdefault("fallback_priority", _provider_priority(provider.name))
+        metadata["routing"] = routing
+        provider.metadata = metadata
+        provider.save(update_fields=["metadata"])
+
+    for model in ModelConfig.objects.select_related("provider").all().iterator():
+        capabilities = _capabilities(model)
+        metadata = dict(model.metadata or {})
+        routing = dict(metadata.get("routing") or {})
+        is_supported = bool(capabilities)
+        routing.setdefault("fallback_candidate", is_supported)
+        routing.setdefault(
+            "fallback_on_failure",
+            is_supported and model.provider.name not in DIRECT_PROVIDER_NAMES,
+        )
+        metadata["routing"] = routing
+        if capabilities:
+            metadata.setdefault("capabilities", capabilities)
+        model.metadata = metadata
+        model.save(update_fields=["metadata"])
+
+
+def revert(apps, schema_editor):
+    ModelProvider = apps.get_model("ai", "ModelProvider")
+    ModelConfig = apps.get_model("ai", "ModelConfig")
+    for provider in ModelProvider.objects.all().iterator():
+        metadata = dict(provider.metadata or {})
+        metadata.pop("routing", None)
+        provider.metadata = metadata
+        provider.save(update_fields=["metadata"])
+    for model in ModelConfig.objects.all().iterator():
+        metadata = dict(model.metadata or {})
+        metadata.pop("routing", None)
+        metadata.pop("capabilities", None)
+        model.metadata = metadata
+        model.save(update_fields=["metadata"])
+
+
+class Migration(migrations.Migration):
+    dependencies = [("ai", "0027_aitask_model_triview_type")]
+    operations = [migrations.RunPython(apply, revert)]

core/backend/apps/ai/migrations/0029_aimodelattempt.py

@@ -0,0 +1,91 @@
+from django.db import migrations, models
+import django.db.models.deletion
+import uuid
+
+
+class Migration(migrations.Migration):
+    dependencies = [("ai", "0028_seed_model_routing_metadata")]
+
+    operations = [
+        migrations.CreateModel(
+            name="AIModelAttempt",
+            fields=[
+                ("id", models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                ("sequence", models.PositiveIntegerField()),
+                ("provider_name", models.CharField(max_length=128)),
+                ("provider_display_name", models.CharField(blank=True, max_length=128)),
+                ("model_name", models.CharField(max_length=128)),
+                ("model_display_name", models.CharField(blank=True, max_length=128)),
+                ("public_model_name", models.CharField(blank=True, max_length=128)),
+                ("capability", models.CharField(max_length=32)),
+                ("operation", models.CharField(max_length=64)),
+                (
+                    "status",
+                    models.CharField(
+                        choices=[("started", "Started"), ("succeeded", "Succeeded"), ("failed", "Failed")],
+                        default="started",
+                        max_length=24,
+                    ),
+                ),
+                ("is_retry", models.BooleanField(default=False)),
+                ("is_fallback", models.BooleanField(default=False)),
+                ("provider_task_id", models.CharField(blank=True, max_length=255)),
+                ("started_at", models.DateTimeField()),
+                ("finished_at", models.DateTimeField(blank=True, null=True)),
+                ("duration_ms", models.PositiveBigIntegerField(blank=True, null=True)),
+                ("error_type", models.CharField(blank=True, max_length=64)),
+                ("provider_error_code", models.CharField(blank=True, max_length=128)),
+                ("raw_error", models.TextField(blank=True)),
+                ("safe_error_summary", models.TextField(blank=True)),
+                ("usage", models.JSONField(blank=True, default=dict)),
+                ("platform_cost", models.DecimalField(decimal_places=4, default=0, max_digits=12)),
+                ("request_summary", models.JSONField(blank=True, default=dict)),
+                ("response_summary", models.JSONField(blank=True, default=dict)),
+                (
+                    "model_config",
+                    models.ForeignKey(
+                        blank=True,
+                        null=True,
+                        on_delete=django.db.models.deletion.SET_NULL,
+                        to="ai.modelconfig",
+                    ),
+                ),
+                (
+                    "previous_attempt",
+                    models.ForeignKey(
+                        blank=True,
+                        null=True,
+                        on_delete=django.db.models.deletion.SET_NULL,
+                        related_name="next_attempts",
+                        to="ai.aimodelattempt",
+                    ),
+                ),
+                (
+                    "provider",
+                    models.ForeignKey(
+                        blank=True,
+                        null=True,
+                        on_delete=django.db.models.deletion.SET_NULL,
+                        to="ai.modelprovider",
+                    ),
+                ),
+                (
+                    "task",
+                    models.ForeignKey(
+                        on_delete=django.db.models.deletion.CASCADE,
+                        related_name="model_attempts",
+                        to="ai.aitask",
+                    ),
+                ),
+            ],
+            options={
+                "ordering": ["sequence"],
+                "indexes": [models.Index(fields=["task", "status"], name="ai_attempt_task_status_idx")],
+                "constraints": [
+                    models.UniqueConstraint(fields=("task", "sequence"), name="ai_attempt_task_sequence_unique")
+                ],
+            },
+        ),
+    ]

core/backend/apps/ai/model_routing.py

@@ -0,0 +1,329 @@
+"""模型能力契约与动态 Fallback 候选解析。
+
+本模块只负责“某模型是否满足本次调用”与“失败后候选如何排序”，不执行 Provider
+请求、重试、日志或账务。业务入口后续只声明 :class:`ModelRequirements`，不得按模型名
+复制能力判断。
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Any
+
+from apps.ai.models import ModelConfig, ModelProvider
+from apps.ai.routing_policy import load_model_routing_policy
+
+
+@dataclass(frozen=True, slots=True)
+class ModelRequirements:
+    """一次模型调用的最小能力需求；未使用的字段保持空值。"""
+
+    capability: str
+    operation: str
+    features: frozenset[str] = field(default_factory=frozenset)
+    reference_mode: str | None = None
+    reference_images: int = 0
+    reference_videos: int = 0
+    reference_audios: int = 0
+    aspect_ratio: str | None = None
+    resolution: str | None = None
+    duration: int | None = None
+    language: str | None = None
+    public_voice: str | None = None
+    char_count: int | None = None
+    speed_ratio: float | None = None
+    output_format: str | None = None
+
+    def __post_init__(self) -> None:
+        if not self.capability or not self.operation:
+            raise ValueError("模型能力需求必须包含 capability 和 operation")
+        for name in ("reference_images", "reference_videos", "reference_audios"):
+            if getattr(self, name) < 0:
+                raise ValueError(f"{name} 不能为负数")
+        if self.reference_mode not in {None, "none", "single", "multiple"}:
+            raise ValueError("reference_mode 只能是 none、single 或 multiple")
+        if self.reference_mode == "single" and self.reference_images != 1:
+            raise ValueError("reference_mode=single 时 reference_images 必须等于 1")
+        if self.reference_mode == "multiple" and self.reference_images < 2:
+            raise ValueError("reference_mode=multiple 时 reference_images 必须至少为 2")
+        if self.duration is not None and self.duration <= 0:
+            raise ValueError("duration 必须大于 0")
+        if self.char_count is not None and self.char_count < 0:
+            raise ValueError("char_count 不能为负数")
+        if self.speed_ratio is not None and self.speed_ratio <= 0:
+            raise ValueError("speed_ratio 必须大于 0")
+
+
+@dataclass(frozen=True, slots=True)
+class CapabilityMatch:
+    matched: bool
+    reasons: tuple[str, ...] = ()
+
+
+def _dict(value: Any) -> dict[str, Any]:
+    return value if isinstance(value, dict) else {}
+
+
+def _set(value: Any) -> set[str]:
+    if not isinstance(value, (list, tuple, set, frozenset)):
+        return set()
+    return {str(item) for item in value if str(item)}
+
+
+def _positive_int(value: Any) -> int | None:
+    if isinstance(value, bool):
+        return None
+    try:
+        result = int(value)
+    except (TypeError, ValueError):
+        return None
+    return result if result >= 0 else None
+
+
+def routing_metadata(model: ModelConfig) -> dict[str, Any]:
+    return _dict(_dict(model.metadata).get("routing"))
+
+
+def capability_metadata(model: ModelConfig) -> dict[str, Any]:
+    return _dict(_dict(model.metadata).get("capabilities"))
+
+
+def model_allows_fallback(model: ModelConfig) -> bool:
+    """该模型失败后是否允许向外切换；缺失配置时保守关闭。"""
+
+    return routing_metadata(model).get("fallback_on_failure") is True
+
+
+def model_is_fallback_candidate(model: ModelConfig) -> bool:
+    """该模型是否允许被其他失败任务选中；缺失配置时保守关闭。"""
+
+    return routing_metadata(model).get("fallback_candidate") is True
+
+
+def provider_fallback_priority(provider: ModelProvider) -> int:
+    """读取供应商候选优先级；数字越小越优先，缺失或非法值统一排到普通供应商层。"""
+
+    value = _dict(_dict(provider.metadata).get("routing")).get("fallback_priority", 100)
+    if isinstance(value, bool):
+        return 100
+    try:
+        return int(value)
+    except (TypeError, ValueError):
+        return 100
+
+
+def provider_metadata_errors(metadata: Any) -> tuple[str, ...]:
+    """校验供应商路由配置；供后台写入校验和运行前诊断共同复用。"""
+
+    routing = _dict(_dict(metadata).get("routing"))
+    if "fallback_priority" not in routing:
+        return ()
+    value = routing["fallback_priority"]
+    if isinstance(value, bool) or not isinstance(value, int) or not 0 <= value <= 1000:
+        return ("routing.fallback_priority 必须是 0 到 1000 的整数，数字越小越优先",)
+    return ()
+
+
+def model_metadata_errors(capability: str, metadata: Any) -> tuple[str, ...]:
+    """校验模型路由开关与最小能力契约，缺少候选开关时允许保存。"""
+
+    root = _dict(metadata)
+    routing = _dict(root.get("routing"))
+    errors: list[str] = []
+    for name in ("fallback_on_failure", "fallback_candidate"):
+        if name in routing and not isinstance(routing[name], bool):
+            errors.append(f"routing.{name} 必须是 true 或 false")
+
+    if routing.get("fallback_candidate") is not True:
+        return tuple(errors)
+
+    capabilities = _dict(root.get("capabilities"))
+    if not _set(capabilities.get("operations")):
+        errors.append("capabilities.operations 至少配置一个操作")
+    if capability == ModelConfig.Capability.IMAGE:
+        modes = _set(capabilities.get("reference_modes"))
+        if modes - {"none", "single", "multiple"}:
+            errors.append("capabilities.reference_modes 只能包含 none、single、multiple")
+    if capability == ModelConfig.Capability.VIDEO:
+        if not _set(capabilities.get("resolutions")):
+            errors.append("视频候选必须配置 capabilities.resolutions")
+        durations = capabilities.get("durations")
+        if not isinstance(durations, (list, tuple)) or not durations:
+            errors.append("视频候选必须配置 capabilities.durations")
+    if capability == ModelConfig.Capability.AUDIO:
+        voice_map = capabilities.get("voice_map")
+        if voice_map is not None and not isinstance(voice_map, dict):
+            errors.append("配音 capabilities.voice_map 必须是公开音色到供应商音色 ID 的对象")
+    return tuple(errors)
+
+
+def capability_metadata_errors(model: ModelConfig) -> tuple[str, ...]:
+    """返回会导致模型无法安全进入候选池的中文配置问题。"""
+
+    return model_metadata_errors(model.capability, model.metadata)
+
+
+def _check_limit(
+    reasons: list[str],
+    capabilities: dict[str, Any],
+    field_name: str,
+    required: int,
+    label: str,
+) -> None:
+    if required <= 0:
+        return
+    maximum = _positive_int(capabilities.get(field_name))
+    if maximum is None or maximum < required:
+        reasons.append(f"{label}上限不足：需要 {required}，配置为 {maximum if maximum is not None else '缺失'}")
+
+
+def _video_pricing_available(model: ModelConfig, resolution: str | None) -> bool:
+    if not resolution:
+        return True
+    pricing = _dict(_dict(model.metadata).get("pricing"))
+    if not pricing:
+        return False
+    # 1080p/4k 必须有精确价格档；480p/720p 可使用现有 default 档。
+    tier = pricing.get(resolution) if resolution in {"1080p", "4k"} else pricing.get(resolution) or pricing.get("default")
+    return isinstance(tier, dict) and bool(tier)
+
+
+def match_model_requirements(model: ModelConfig, requirements: ModelRequirements) -> CapabilityMatch:
+    """纯函数式能力匹配；缺失配置一律保守排除，不按模型名猜测。"""
+
+    reasons: list[str] = []
+    if model.capability != requirements.capability:
+        reasons.append(f"能力大类不匹配：需要 {requirements.capability}，模型为 {model.capability}")
+        return CapabilityMatch(False, tuple(reasons))
+
+    capabilities = capability_metadata(model)
+    operations = _set(capabilities.get("operations"))
+    if requirements.operation not in operations:
+        reasons.append(f"不支持操作 {requirements.operation}")
+
+    missing_features = sorted(set(requirements.features) - _set(capabilities.get("features")))
+    if missing_features:
+        reasons.append(f"缺少特性：{', '.join(missing_features)}")
+
+    if requirements.reference_mode and requirements.reference_mode != "none":
+        if requirements.reference_mode not in _set(capabilities.get("reference_modes")):
+            reasons.append(f"不支持 {requirements.reference_mode} 参考图模式")
+
+    _check_limit(reasons, capabilities, "max_reference_images", requirements.reference_images, "参考图片")
+    _check_limit(reasons, capabilities, "max_reference_videos", requirements.reference_videos, "参考视频")
+    _check_limit(reasons, capabilities, "max_reference_audios", requirements.reference_audios, "参考音频")
+
+    for field_name, required, label in (
+        ("aspect_ratios", requirements.aspect_ratio, "画面比例"),
+        ("resolutions", requirements.resolution, "分辨率"),
+        ("languages", requirements.language, "语言"),
+        ("output_formats", requirements.output_format, "输出格式"),
+    ):
+        if required and required not in _set(capabilities.get(field_name)):
+            reasons.append(f"不支持{label} {required}")
+
+    if requirements.duration is not None:
+        durations = capabilities.get("durations")
+        supported = set(durations) if isinstance(durations, (list, tuple, set, frozenset)) else set()
+        if requirements.duration not in supported:
+            reasons.append(f"不支持时长 {requirements.duration} 秒")
+
+    if requirements.public_voice:
+        voice_map = capabilities.get("voice_map")
+        if not isinstance(voice_map, dict) or not voice_map.get(requirements.public_voice):
+            reasons.append(f"缺少公开音色 {requirements.public_voice} 的供应商映射")
+
+    if requirements.char_count is not None:
+        max_chars = _positive_int(capabilities.get("max_chars"))
+        if max_chars is None or requirements.char_count > max_chars:
+            reasons.append(
+                f"字符上限不足：需要 {requirements.char_count}，配置为 {max_chars if max_chars is not None else '缺失'}"
+            )
+
+    if requirements.speed_ratio is not None:
+        speed_range = capabilities.get("speed_range")
+        if not isinstance(speed_range, (list, tuple)) or len(speed_range) != 2:
+            reasons.append("缺少合法的语速范围配置")
+        else:
+            try:
+                minimum, maximum = float(speed_range[0]), float(speed_range[1])
+            except (TypeError, ValueError):
+                reasons.append("语速范围配置不是数字")
+            else:
+                if not minimum <= requirements.speed_ratio <= maximum:
+                    reasons.append(f"不支持语速 {requirements.speed_ratio:g}")
+
+    if requirements.capability == ModelConfig.Capability.VIDEO and not _video_pricing_available(
+        model, requirements.resolution
+    ):
+        reasons.append(f"缺少分辨率 {requirements.resolution} 的视频价格配置")
+
+    return CapabilityMatch(not reasons, tuple(reasons))
+
+
+def _timestamp(value: datetime | None) -> float:
+    return value.timestamp() if value is not None else 0.0
+
+
+def _candidate_sort_key(model: ModelConfig) -> tuple[int, float, float, str]:
+    return (
+        provider_fallback_priority(model.provider),
+        -_timestamp(model.updated_at),
+        -_timestamp(model.created_at),
+        str(model.id),
+    )
+
+
+def resolve_fallback_candidates(
+    *,
+    primary_model: ModelConfig,
+    requirements: ModelRequirements,
+    attempted_model_ids: set[Any] | frozenset[Any] = frozenset(),
+    excluded_provider_ids: set[Any] | frozenset[Any] = frozenset(),
+) -> list[ModelConfig]:
+    """在主模型明确失败后解析候选；不会替换或重排用户传入的主模型。"""
+
+    if not model_allows_fallback(primary_model):
+        return []
+
+    attempted = {str(value) for value in attempted_model_ids}
+    attempted.add(str(primary_model.id))
+    excluded_providers = {str(value) for value in excluded_provider_ids}
+    policy = load_model_routing_policy()
+    remaining_model_slots = max(0, policy.max_models - len(attempted))
+    if remaining_model_slots == 0:
+        return []
+
+    candidates = []
+    queryset = ModelConfig.objects.select_related("provider").filter(
+        capability=requirements.capability,
+        status=ModelConfig.Status.ACTIVE,
+        provider__status=ModelProvider.Status.ACTIVE,
+    )
+    for model in queryset:
+        if str(model.id) in attempted or str(model.provider_id) in excluded_providers:
+            continue
+        if not model_is_fallback_candidate(model) or capability_metadata_errors(model):
+            continue
+        if match_model_requirements(model, requirements).matched:
+            candidates.append(model)
+
+    candidates.sort(key=_candidate_sort_key)
+    return candidates[:remaining_model_slots]
+
+
+__all__ = [
+    "CapabilityMatch",
+    "ModelRequirements",
+    "capability_metadata",
+    "capability_metadata_errors",
+    "match_model_requirements",
+    "model_allows_fallback",
+    "model_is_fallback_candidate",
+    "model_metadata_errors",
+    "provider_fallback_priority",
+    "provider_metadata_errors",
+    "resolve_fallback_candidates",
+    "routing_metadata",
+]

core/backend/apps/ai/models.py

@@ -174,6 +174,60 @@ class AITask(TeamOwnedModel):
         return f"{self.task_type}:{self.status}:{self.id}"
 
 
+class AIModelAttempt(TimeStampedModel):
+    """AITask 下的一次真实模型请求审计；不参与积分预留、扣费或任务生命周期。"""
+
+    class Status(models.TextChoices):
+        STARTED = "started", "Started"
+        SUCCEEDED = "succeeded", "Succeeded"
+        FAILED = "failed", "Failed"
+
+    task = models.ForeignKey(AITask, on_delete=models.CASCADE, related_name="model_attempts")
+    sequence = models.PositiveIntegerField()
+    provider = models.ForeignKey(ModelProvider, on_delete=models.SET_NULL, null=True, blank=True)
+    model_config = models.ForeignKey(ModelConfig, on_delete=models.SET_NULL, null=True, blank=True)
+    # 名称均保存历史快照，后续后台改名或删除配置也不影响旧任务审计。
+    provider_name = models.CharField(max_length=128)
+    provider_display_name = models.CharField(max_length=128, blank=True)
+    model_name = models.CharField(max_length=128)
+    model_display_name = models.CharField(max_length=128, blank=True)
+    public_model_name = models.CharField(max_length=128, blank=True)
+    capability = models.CharField(max_length=32)
+    operation = models.CharField(max_length=64)
+    status = models.CharField(max_length=24, choices=Status.choices, default=Status.STARTED)
+    is_retry = models.BooleanField(default=False)
+    is_fallback = models.BooleanField(default=False)
+    previous_attempt = models.ForeignKey(
+        "self",
+        on_delete=models.SET_NULL,
+        null=True,
+        blank=True,
+        related_name="next_attempts",
+    )
+    provider_task_id = models.CharField(max_length=255, blank=True)
+    started_at = models.DateTimeField()
+    finished_at = models.DateTimeField(null=True, blank=True)
+    duration_ms = models.PositiveBigIntegerField(null=True, blank=True)
+    error_type = models.CharField(max_length=64, blank=True)
+    provider_error_code = models.CharField(max_length=128, blank=True)
+    raw_error = models.TextField(blank=True)
+    safe_error_summary = models.TextField(blank=True)
+    usage = models.JSONField(default=dict, blank=True)
+    platform_cost = models.DecimalField(max_digits=12, decimal_places=4, default=0)
+    request_summary = models.JSONField(default=dict, blank=True)
+    response_summary = models.JSONField(default=dict, blank=True)
+
+    class Meta:
+        ordering = ["sequence"]
+        constraints = [
+            models.UniqueConstraint(fields=["task", "sequence"], name="ai_attempt_task_sequence_unique"),
+        ]
+        indexes = [models.Index(fields=["task", "status"], name="ai_attempt_task_status_idx")]
+
+    def __str__(self) -> str:
+        return f"{self.task_id}:{self.sequence}:{self.status}"
+
+
 class QualityWord(TimeStampedModel):
     """平台单层质量词配置:按生成阶段(stage)+ 槽位(slot)挂若干质量词,
     生成侧拼提示词时优先读取本配置;**无配置则回落各 builder 的写死值**(零回归)。

core/backend/apps/ai/providers/openai_compatible.py

@@ -86,6 +86,7 @@ class OpenAICompatibleProvider(VolcanoArkProvider):
         endpoint: str = "images/generations",
         image: str | list[str] | None = None,
         size: str = "1024x1536",
+        timeout: float = 300,
     ) -> dict[str, Any]:
         """文生图(可选单图参考 base64)。多图参考请用 image_edit。返回体含 url 或 b64_json。"""
         if not self.api_key:
@@ -98,7 +99,7 @@ class OpenAICompatibleProvider(VolcanoArkProvider):
             self._endpoint_url(endpoint),
             headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
             json=body,
-            timeout=300,
+            timeout=timeout,
         )
         _raise_with_body(response)
         return response.json()
@@ -111,6 +112,7 @@ class OpenAICompatibleProvider(VolcanoArkProvider):
         images: list[str],
         endpoint: str = "images/edits",
         size: str = "1024x1536",
+        timeout: float = 300,
     ) -> dict[str, Any]:
         """参考图编辑/合成(gpt-image-2 核心能力):multipart `image[]` 上传一张或多张参考图。
 
@@ -139,7 +141,47 @@ class OpenAICompatibleProvider(VolcanoArkProvider):
             headers={"Authorization": f"Bearer {self.api_key}"},  # multipart 不要手设 Content-Type
             files=files,
             data=data,
-            timeout=300,
+            timeout=timeout,
         )
         _raise_with_body(response)
         return response.json()
+
+    def synthesize(
+        self,
+        *,
+        model: str,
+        text: str,
+        voice_type: str,
+        speed_ratio: float = 1.0,
+        endpoint: str = "audio/speech",
+        output_format: str = "mp3",
+        timeout: float = 60,
+        uid: str = "airshelf",
+    ) -> tuple[bytes, int]:
+        """OpenAI 兼容 ``audio/speech``：返回音频字节和可选时长毫秒。
+
+        ``uid`` 仅为与火山直连调用签名一致，不发送给标准 OpenAI 请求。新增供应商只需在
+        ModelConfig 配 endpoint / voice_map，无需新增 Provider 分支。
+        """
+        del uid
+        if not self.api_key:
+            raise ValueError("中转站 api_key 未配置")
+        response = requests.post(
+            self._endpoint_url(endpoint or "audio/speech"),
+            headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
+            json={
+                "model": model,
+                "input": text,
+                "voice": voice_type,
+                "speed": float(speed_ratio or 1.0),
+                "response_format": output_format,
+            },
+            timeout=timeout,
+        )
+        _raise_with_body(response)
+        duration_ms = 0
+        try:
+            duration_ms = int(float(response.headers.get("x-audio-duration-ms") or 0))
+        except (TypeError, ValueError):
+            duration_ms = 0
+        return response.content, duration_ms

core/backend/apps/ai/providers/volcano.py

@@ -59,7 +59,14 @@ class VolcanoArkProvider:
             payload=data,
         )
 
-    def chat_completion(self, *, model: str, messages: list[dict[str, str]], endpoint: str = "chat/completions") -> dict[str, Any]:
+    def chat_completion(
+        self,
+        *,
+        model: str,
+        messages: list[dict[str, str]],
+        endpoint: str = "chat/completions",
+        timeout: float = 120,
+    ) -> dict[str, Any]:
         if not self.api_key:
             raise ValueError("VOLCANO_ARK_API_KEY is not configured")
 
@@ -67,7 +74,7 @@ class VolcanoArkProvider:
             f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}",
             headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
             json={"model": model, "messages": messages},
-            timeout=120,
+            timeout=timeout,
         )
         response.raise_for_status()
         return response.json()
@@ -80,6 +87,7 @@ class VolcanoArkProvider:
         endpoint: str = "chat/completions",
         temperature: float = 0.8,
         extra_body: dict[str, Any] | None = None,
+        timeout: float = 300,
     ) -> Iterator[dict[str, Any]]:
         """流式对话:逐块 yield {type:'delta'|'tool_call'|'done', ...}。
         OpenAI 兼容 SSE(火山 ARK / 各中转站同构),供脚本 agent 的 SSE 端实时转发。"""
@@ -97,7 +105,7 @@ class VolcanoArkProvider:
             },
             json=body,
             stream=True,
-            timeout=300,
+            timeout=timeout,
         ) as response:
             response.raise_for_status()
             # SSE 响应常不带 charset,requests 会按 latin-1 解码 → 中文乱码。强制 UTF-8。
@@ -157,6 +165,7 @@ class VolcanoArkProvider:
         endpoint: str = "images/generations",
         image: str | list[str] | None = None,
         size: str = "2K",
+        timeout: float = 180,
     ) -> dict[str, Any]:
         if not self.api_key:
             raise ValueError("VOLCANO_ARK_API_KEY is not configured")
@@ -174,7 +183,7 @@ class VolcanoArkProvider:
             f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}",
             headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
             json=body,
-            timeout=180,
+            timeout=timeout,
         )
         # 非 2xx 抽出火山真实报错(error.code/message)而非裸 HTTP 400 —— 否则 Seedream 的
         # 内容审核 / 尺寸过小(历史 4:5 套图 raise_for_status 吞 body 的踩坑)等真因看不见。
@@ -195,6 +204,7 @@ class VolcanoArkProvider:
         content_items: list[dict[str, Any]] | None = None,
         seed: int | None = None,
         search_mode: str = "off",
+        timeout: float = 120,
     ) -> dict[str, Any]:
         if not self.api_key:
             raise ValueError("VOLCANO_ARK_API_KEY is not configured")
@@ -223,18 +233,24 @@ class VolcanoArkProvider:
             f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}",
             headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
             json=body,
-            timeout=120,
+            timeout=timeout,
         )
         _raise_volcano_error(response)
         return response.json()
 
-    def poll_video_task(self, *, endpoint: str, provider_task_id: str) -> dict[str, Any]:
+    def poll_video_task(
+        self,
+        *,
+        endpoint: str,
+        provider_task_id: str,
+        timeout: float = 60,
+    ) -> dict[str, Any]:
         if not self.api_key:
             raise ValueError("VOLCANO_ARK_API_KEY is not configured")
         response = requests.get(
             f"{self.base_url.rstrip('/')}/{endpoint.rstrip('/')}/{provider_task_id}",
             headers={"Authorization": f"Bearer {self.api_key}"},
-            timeout=60,
+            timeout=timeout,
         )
         _raise_volcano_error(response)
         return response.json()
@@ -305,7 +321,15 @@ class VolcanoTtsProvider:
     def configured(self) -> bool:
         return bool(self.appid and self.access_token)
 
-    def synthesize(self, *, text: str, voice_type: str, speed_ratio: float = 1.0, uid: str = "airshelf") -> tuple[bytes, int]:
+    def synthesize(
+        self,
+        *,
+        text: str,
+        voice_type: str,
+        speed_ratio: float = 1.0,
+        uid: str = "airshelf",
+        timeout: float = 60,
+    ) -> tuple[bytes, int]:
         """合成一段语音。返回 (mp3 字节, 时长毫秒;接口没回时长则为 0)。"""
         if not self.configured:
             raise TtsNotConfigured(
@@ -322,7 +346,7 @@ class VolcanoTtsProvider:
             self.base_url,
             headers={"Authorization": f"Bearer;{self.access_token}"},
             json=body,
-            timeout=60,
+            timeout=timeout,
         )
         response.raise_for_status()
         data = response.json()

core/backend/apps/ai/providers/yunqi.py

@@ -26,6 +26,7 @@ class YunqiProvider(VolcanoArkProvider):
         endpoint: str = "images/generations",
         image: str | list[str] | None = None,
         size: str = "1024x1536",
+        timeout: float = 300,
     ) -> dict[str, Any]:
         if not self.api_key:
             raise ValueError("YUNQI_API_KEY is not configured")
@@ -37,7 +38,7 @@ class YunqiProvider(VolcanoArkProvider):
             f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}",
             headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
             json=body,
-            timeout=300,
+            timeout=timeout,
         )
         response.raise_for_status()
         return response.json()

core/backend/apps/ai/routing_executor.py

@@ -0,0 +1,456 @@
+"""统一模型请求执行器：重试、动态切换和每次真实调用的 Feedback 留痕。"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from decimal import Decimal, InvalidOperation
+import random
+import re
+import time
+from typing import Any, Callable, Generic, Mapping, TypeVar
+
+from django.db import transaction
+from django.db.models import F, Max
+from django.utils import timezone
+
+from apps.ai.generation_errors import PublicGenerationError, classify_generation_error
+from apps.ai.model_routing import ModelRequirements, resolve_fallback_candidates
+from apps.ai.models import AIModelAttempt, AITask, ModelConfig
+from apps.ai.routing_policy import load_model_routing_policy
+
+
+T = TypeVar("T")
+
+
+@dataclass(frozen=True, slots=True)
+class AttemptMetadata:
+    """调用方可返回的审计摘要；不得放入密钥、鉴权头或完整素材。"""
+
+    provider_task_id: str = ""
+    usage: Mapping[str, Any] = field(default_factory=dict)
+    platform_cost: Decimal = Decimal("0")
+    response_summary: Mapping[str, Any] = field(default_factory=dict)
+
+
+@dataclass(frozen=True, slots=True)
+class RoutingExecutionResult(Generic[T]):
+    value: T
+    actual_model: ModelConfig
+    attempt: AIModelAttempt
+    call_count: int
+    fallback_used: bool
+
+
+@dataclass(frozen=True, slots=True)
+class ErrorRoutingDecision:
+    retry_current: bool
+    fallback: bool
+    exclude_provider: bool = False
+
+
+_TERMINAL_ERRORS = {
+    "content_rejected",
+    "invalid_input",
+    "asset_unavailable",
+    "user_credit_insufficient",
+    "processing_failed",
+}
+_FALLBACK_ONLY_ERRORS = {"provider_quota_exhausted", "provider_config_error", "model_unavailable"}
+_PROVIDER_SCOPE_ERRORS = {"provider_quota_exhausted", "provider_config_error"}
+_SENSITIVE_KEYS = {"api_key", "apikey", "authorization", "password", "secret", "access_token", "refresh_token"}
+_SECRET_PATTERNS = (
+    re.compile(r"(?i)(authorization\s*[:=]\s*)([^\s,;]+)"),
+    re.compile(r"(?i)((?:api[_-]?key|access[_-]?token|secret)\s*[:=]\s*)([^\s,;]+)"),
+    re.compile(r"\bsk-[A-Za-z0-9_-]{8,}\b"),
+)
+
+
+def decide_error_routing(error: PublicGenerationError) -> ErrorRoutingDecision:
+    """把统一安全错误映射成路由动作；业务入口不得复制错误字符串判断。"""
+
+    if error.code in _TERMINAL_ERRORS:
+        return ErrorRoutingDecision(retry_current=False, fallback=False)
+    if error.code in _FALLBACK_ONLY_ERRORS:
+        return ErrorRoutingDecision(
+            retry_current=False,
+            fallback=True,
+            exclude_provider=error.code in _PROVIDER_SCOPE_ERRORS,
+        )
+    # 网络、超时、限流、5xx 及暂未精确分类的 Provider 异常：主模型按能力策略重试后再切换。
+    return ErrorRoutingDecision(retry_current=True, fallback=True)
+
+
+def _redact_text(value: Any, limit: int = 4000) -> str:
+    text = str(value or "")
+    for pattern in _SECRET_PATTERNS:
+        if pattern.groups >= 2:
+            text = pattern.sub(r"\1[REDACTED]", text)
+        else:
+            text = pattern.sub("[REDACTED]", text)
+    return text[:limit]
+
+
+def sanitize_attempt_summary(value: Any, *, depth: int = 0) -> Any:
+    """生成可持久化的轻量脱敏摘要，避免日志保存密钥、二进制或完整长素材。"""
+
+    if depth >= 4:
+        return "[摘要层级已截断]"
+    if isinstance(value, Mapping):
+        result = {}
+        for index, (key, item) in enumerate(value.items()):
+            if index >= 40:
+                result["_truncated"] = True
+                break
+            name = str(key)
+            if name.lower() in _SENSITIVE_KEYS:
+                result[name] = "[REDACTED]"
+            else:
+                result[name] = sanitize_attempt_summary(item, depth=depth + 1)
+        return result
+    if isinstance(value, (list, tuple, set, frozenset)):
+        items = list(value)
+        return [sanitize_attempt_summary(item, depth=depth + 1) for item in items[:20]]
+    if isinstance(value, (bytes, bytearray, memoryview)):
+        return f"[二进制 {len(value)} 字节]"
+    if value is None or isinstance(value, (bool, int, float)):
+        return value
+    if isinstance(value, Decimal):
+        return str(value)
+    return _redact_text(value, limit=500)
+
+
+def _coerce_metadata(value: Any) -> AttemptMetadata:
+    if isinstance(value, AttemptMetadata):
+        return AttemptMetadata(
+            provider_task_id=str(value.provider_task_id or "")[:255],
+            usage=value.usage if isinstance(value.usage, Mapping) else {},
+            platform_cost=value.platform_cost,
+            response_summary=value.response_summary if isinstance(value.response_summary, Mapping) else {},
+        )
+    if not isinstance(value, Mapping):
+        return AttemptMetadata()
+    raw_cost = value.get("platform_cost", 0)
+    try:
+        cost = Decimal(str(raw_cost or 0))
+    except (InvalidOperation, TypeError, ValueError):
+        cost = Decimal("0")
+    return AttemptMetadata(
+        provider_task_id=str(value.get("provider_task_id") or value.get("task_id") or "")[:255],
+        usage=value.get("usage") if isinstance(value.get("usage"), Mapping) else {},
+        platform_cost=max(cost, Decimal("0")),
+        response_summary=value.get("response_summary")
+        if isinstance(value.get("response_summary"), Mapping)
+        else {},
+    )
+
+
+def _default_result_metadata(result: Any, model: ModelConfig) -> AttemptMetadata:
+    del model
+    if not isinstance(result, Mapping):
+        return AttemptMetadata()
+    provider_task_id = result.get("provider_task_id") or result.get("task_id") or result.get("id") or ""
+    usage = result.get("usage") if isinstance(result.get("usage"), Mapping) else {}
+    return AttemptMetadata(
+        provider_task_id=str(provider_task_id)[:255],
+        usage=usage,
+        response_summary={"provider_task_id": str(provider_task_id)[:255]} if provider_task_id else {},
+    )
+
+
+def _default_error_metadata(exc: Exception, model: ModelConfig) -> AttemptMetadata:
+    del model
+    return _coerce_metadata(getattr(exc, "attempt_metadata", None))
+
+
+def _provider_error_code(exc: Exception) -> str:
+    response = getattr(exc, "response", None)
+    if response is not None:
+        try:
+            payload = response.json()
+            error = payload.get("error") if isinstance(payload, Mapping) else None
+            if isinstance(error, Mapping):
+                return str(error.get("code") or error.get("type") or "")[:128]
+        except Exception:  # noqa: BLE001 - Provider 错误响应不保证 JSON 格式。
+            pass
+    return str(getattr(exc, "code", "") or "")[:128]
+
+
+@transaction.atomic
+def _start_attempt(
+    *,
+    task: AITask,
+    model: ModelConfig,
+    requirements: ModelRequirements,
+    public_model_name: str,
+    is_retry: bool,
+    is_fallback: bool,
+    previous_attempt: AIModelAttempt | None,
+    request_summary: Mapping[str, Any],
+) -> AIModelAttempt:
+    # 锁父任务只用于分配稳定序号，不修改父任务，因而不会刷新 AITask.updated_at。
+    AITask.objects.select_for_update().only("id").get(pk=task.pk)
+    sequence = (
+        AIModelAttempt.objects.filter(task_id=task.pk).aggregate(max_sequence=Max("sequence"))["max_sequence"] or 0
+    ) + 1
+    provider = model.provider
+    return AIModelAttempt.objects.create(
+        task_id=task.pk,
+        sequence=sequence,
+        provider=provider,
+        model_config=model,
+        provider_name=provider.name,
+        provider_display_name=provider.display_name,
+        model_name=model.name,
+        model_display_name=model.display_name,
+        public_model_name=public_model_name,
+        capability=requirements.capability,
+        operation=requirements.operation,
+        is_retry=is_retry,
+        is_fallback=is_fallback,
+        previous_attempt=previous_attempt,
+        started_at=timezone.now(),
+        request_summary=sanitize_attempt_summary(request_summary),
+    )
+
+
+def _finish_attempt(
+    attempt: AIModelAttempt,
+    *,
+    status: str,
+    elapsed_seconds: float,
+    metadata: AttemptMetadata,
+    error: PublicGenerationError | None = None,
+    exc: Exception | None = None,
+) -> None:
+    cost = max(Decimal(metadata.platform_cost), Decimal("0")).quantize(Decimal("0.0001"))
+    attempt.status = status
+    attempt.finished_at = timezone.now()
+    attempt.duration_ms = max(0, round(elapsed_seconds * 1000))
+    attempt.provider_task_id = metadata.provider_task_id[:255]
+    attempt.usage = sanitize_attempt_summary(metadata.usage)
+    attempt.platform_cost = cost
+    attempt.response_summary = sanitize_attempt_summary(metadata.response_summary)
+    if error is not None:
+        attempt.error_type = error.code
+        attempt.provider_error_code = _provider_error_code(exc) if exc is not None else ""
+        attempt.raw_error = _redact_text(exc)
+        attempt.safe_error_summary = error.fallback_message
+    attempt.save(
+        update_fields=[
+            "status",
+            "finished_at",
+            "duration_ms",
+            "provider_task_id",
+            "usage",
+            "platform_cost",
+            "response_summary",
+            "error_type",
+            "provider_error_code",
+            "raw_error",
+            "safe_error_summary",
+            "updated_at",
+        ]
+    )
+    if cost > 0:
+        # QuerySet.update 不触发父任务 auto_now，避免尝试日志影响僵尸任务回收时间口径。
+        AITask.objects.filter(pk=attempt.task_id).update(base_cost=F("base_cost") + cost)
+
+
+def _retry_after_seconds(exc: Exception) -> float | None:
+    response = getattr(exc, "response", None)
+    headers = getattr(response, "headers", None)
+    if not isinstance(headers, Mapping):
+        return None
+    raw = headers.get("Retry-After") or headers.get("retry-after")
+    try:
+        value = float(raw)
+    except (TypeError, ValueError):
+        return None
+    return max(0.0, value)
+
+
+def _ability_policy(requirements: ModelRequirements):
+    policy = load_model_routing_policy()
+    if requirements.capability == ModelConfig.Capability.TEXT:
+        request_timeout = policy.text.stream_timeout if "streaming" in requirements.features else policy.text.request_timeout
+        return policy, policy.text.retry_delays, request_timeout, policy.text.total_timeout, policy.text.retry_after_cap
+    if requirements.capability == ModelConfig.Capability.IMAGE:
+        return policy, policy.image.retry_delays, policy.image.request_timeout, policy.image.total_timeout, policy.image.retry_after_cap
+    if requirements.capability == ModelConfig.Capability.AUDIO:
+        return policy, policy.audio.retry_delays, policy.audio.request_timeout, policy.audio.total_timeout, policy.audio.retry_after_cap
+    if requirements.capability == ModelConfig.Capability.VIDEO:
+        return (
+            policy,
+            policy.video.submit_retry_delays,
+            policy.video.submit_timeout,
+            policy.video.submit_total_timeout,
+            policy.video.retry_after_cap,
+        )
+    raise ValueError(f"暂不支持能力 {requirements.capability} 的统一模型路由")
+
+
+def execute_model_call(
+    *,
+    task: AITask,
+    primary_model: ModelConfig,
+    requirements: ModelRequirements,
+    public_model_name: str,
+    invoke: Callable[[ModelConfig, float], T],
+    request_summary: Mapping[str, Any] | Callable[[ModelConfig], Mapping[str, Any]] | None = None,
+    result_metadata: Callable[[T, ModelConfig], AttemptMetadata | Mapping[str, Any]] | None = None,
+    error_metadata: Callable[[Exception, ModelConfig], AttemptMetadata | Mapping[str, Any]] | None = None,
+    error_classifier: Callable[[Exception, ModelConfig], PublicGenerationError] | None = None,
+    candidate_resolver: Callable[..., list[ModelConfig]] | None = None,
+    sleep: Callable[[float], None] = time.sleep,
+    monotonic: Callable[[], float] = time.monotonic,
+    uniform: Callable[[float, float], float] = random.uniform,
+) -> RoutingExecutionResult[T]:
+    """在一个既有 AITask 内完成真实调用；不创建预留、不扣费、不释放积分。"""
+
+    if task.model_config_id != primary_model.id:
+        raise ValueError("AITask.model_config 必须保持为用户选择或系统默认的主模型")
+    if primary_model.capability != requirements.capability:
+        raise ValueError("主模型 capability 与本次 ModelRequirements 不一致")
+
+    policy, retry_delays, request_timeout, total_timeout, retry_after_cap = _ability_policy(requirements)
+    resolver = candidate_resolver or resolve_fallback_candidates
+    result_meta = result_metadata or _default_result_metadata
+    error_meta = error_metadata or _default_error_metadata
+    classify = error_classifier or (
+        lambda exc, model: classify_generation_error(
+            exc,
+            operation=requirements.operation,
+            provider_name=model.provider.name,
+            reference_id=str(task.id),
+        )
+    )
+
+    route_started = monotonic()
+    current_model = primary_model
+    attempted_model_ids: set[Any] = set()
+    excluded_provider_ids: set[Any] = set()
+    previous_attempt: AIModelAttempt | None = None
+    calls = 0
+    primary_retry_index = 0
+    fallback_used = False
+    last_exception: Exception | None = None
+
+    while calls < policy.max_calls:
+        remaining = total_timeout - (monotonic() - route_started)
+        if remaining <= 0:
+            if last_exception is not None:
+                raise last_exception
+            raise TimeoutError("模型路由总时限已耗尽")
+
+        is_retry = current_model.id == primary_model.id and primary_retry_index > 0
+        summary = request_summary(current_model) if callable(request_summary) else (request_summary or {})
+        attempt = _start_attempt(
+            task=task,
+            model=current_model,
+            requirements=requirements,
+            public_model_name=public_model_name,
+            is_retry=is_retry,
+            is_fallback=fallback_used,
+            previous_attempt=previous_attempt,
+            request_summary=summary,
+        )
+        calls += 1
+        call_started = monotonic()
+        try:
+            value = invoke(current_model, min(float(request_timeout), max(0.001, remaining)))
+        except Exception as exc:
+            elapsed = monotonic() - call_started
+            public_error = classify(exc, current_model)
+            decision = decide_error_routing(public_error)
+            try:
+                failed_metadata = _coerce_metadata(error_meta(exc, current_model))
+            except Exception as metadata_exc:  # noqa: BLE001 - 审计摘要失败不能遮蔽原始 Provider 异常。
+                failed_metadata = AttemptMetadata(
+                    response_summary={"metadata_error": _redact_text(metadata_exc, limit=300)}
+                )
+            # 异步视频若已经拿到 Provider 任务 ID，表示提交结果并非“明确未创建”；禁止盲目重提。
+            if requirements.capability == ModelConfig.Capability.VIDEO and failed_metadata.provider_task_id:
+                decision = ErrorRoutingDecision(retry_current=False, fallback=False)
+            _finish_attempt(
+                attempt,
+                status=AIModelAttempt.Status.FAILED,
+                elapsed_seconds=elapsed,
+                metadata=failed_metadata,
+                error=public_error,
+                exc=exc,
+            )
+            previous_attempt = attempt
+            last_exception = exc
+            if decision.exclude_provider:
+                excluded_provider_ids.add(current_model.provider_id)
+            if not decision.fallback:
+                raise
+
+            can_retry_primary = (
+                not fallback_used
+                and decision.retry_current
+                and primary_retry_index < len(retry_delays)
+                and calls < policy.max_calls
+            )
+            if can_retry_primary:
+                retry_after = _retry_after_seconds(exc)
+                if retry_after is not None and retry_after > retry_after_cap:
+                    can_retry_primary = False
+                else:
+                    base_delay = retry_after if retry_after is not None else float(retry_delays[primary_retry_index])
+                    delay = base_delay if retry_after is not None else base_delay * (1 + uniform(-policy.jitter_ratio, policy.jitter_ratio))
+                    if monotonic() - route_started + max(0.0, delay) >= total_timeout:
+                        can_retry_primary = False
+                    else:
+                        sleep(max(0.0, delay))
+                        primary_retry_index += 1
+            if can_retry_primary:
+                continue
+
+            attempted_model_ids.add(current_model.id)
+            if calls >= policy.max_calls:
+                raise
+            candidates = resolver(
+                primary_model=current_model,
+                requirements=requirements,
+                attempted_model_ids=attempted_model_ids,
+                excluded_provider_ids=excluded_provider_ids,
+            )
+            if not candidates:
+                raise
+            current_model = candidates[0]
+            fallback_used = True
+            primary_retry_index = 0
+            continue
+
+        try:
+            metadata = _coerce_metadata(result_meta(value, current_model))
+        except Exception as metadata_exc:  # noqa: BLE001 - 内容已生成，不能因审计摘要失败重新调用模型。
+            metadata = AttemptMetadata(response_summary={"metadata_error": _redact_text(metadata_exc, limit=300)})
+        _finish_attempt(
+            attempt,
+            status=AIModelAttempt.Status.SUCCEEDED,
+            elapsed_seconds=monotonic() - call_started,
+            metadata=metadata,
+        )
+        return RoutingExecutionResult(
+            value=value,
+            actual_model=current_model,
+            attempt=attempt,
+            call_count=calls,
+            fallback_used=fallback_used,
+        )
+
+    if last_exception is not None:
+        raise last_exception
+    raise TimeoutError("模型路由调用次数已耗尽")
+
+
+__all__ = [
+    "AttemptMetadata",
+    "ErrorRoutingDecision",
+    "RoutingExecutionResult",
+    "decide_error_routing",
+    "execute_model_call",
+    "sanitize_attempt_summary",
+]

core/backend/apps/ai/routing_policy.py

@@ -0,0 +1,303 @@
+"""模型路由策略的集中读取与校验。
+
+本模块只负责把 Django settings 中的 ``MODEL_ROUTING_POLICY`` 转成不可变配置对象，
+不执行重试、Fallback、Provider 调用或账务操作。业务入口后续只消费这里返回的策略，
+不得各自维护 timeout / sleep / attempts 常量。
+"""
+
+from __future__ import annotations
+
+from collections.abc import Mapping, Sequence
+from dataclasses import dataclass
+from typing import Any
+
+from django.conf import settings
+
+
+class RoutingPolicyConfigurationError(ValueError):
+    """模型路由策略格式或取值不合法。"""
+
+
+@dataclass(frozen=True, slots=True)
+class TextRoutingPolicy:
+    retry_delays: tuple[float, ...]
+    request_timeout: float
+    stream_timeout: float
+    total_timeout: float
+    retry_after_cap: float
+
+
+@dataclass(frozen=True, slots=True)
+class RequestRoutingPolicy:
+    retry_delays: tuple[float, ...]
+    request_timeout: float
+    total_timeout: float
+    retry_after_cap: float
+
+
+@dataclass(frozen=True, slots=True)
+class VideoRoutingPolicy:
+    submit_retry_delays: tuple[float, ...]
+    submit_timeout: float
+    submit_total_timeout: float
+    poll_request_timeout: float
+    generation_timeout: float
+    retry_after_cap: float
+
+
+@dataclass(frozen=True, slots=True)
+class PostprocessRoutingPolicy:
+    retry_delays: tuple[float, ...]
+
+
+@dataclass(frozen=True, slots=True)
+class ModelRoutingPolicy:
+    max_models: int
+    max_calls: int
+    jitter_ratio: float
+    text: TextRoutingPolicy
+    image: RequestRoutingPolicy
+    audio: RequestRoutingPolicy
+    video: VideoRoutingPolicy
+    postprocess: PostprocessRoutingPolicy
+
+
+_LABELS = {
+    "max_models": "最多尝试模型数量",
+    "max_calls": "最多真实模型调用次数",
+    "jitter_ratio": "重试随机抖动比例",
+    "retry_delays": "重试等待时间列表",
+    "request_timeout": "单次调用超时",
+    "stream_timeout": "单次流式调用超时",
+    "total_timeout": "逻辑任务总时限",
+    "retry_after_cap": "Retry-After 最长等待时间",
+    "submit_retry_delays": "视频提交重试等待时间列表",
+    "submit_timeout": "视频单次提交超时",
+    "submit_total_timeout": "视频提交阶段总时限",
+    "poll_request_timeout": "视频单次轮询超时",
+    "generation_timeout": "视频成片等待总时限",
+}
+
+
+def _error(path: str, message: str) -> RoutingPolicyConfigurationError:
+    key = path.rsplit(".", 1)[-1].split("[", 1)[0]
+    label = _LABELS.get(key, path)
+    return RoutingPolicyConfigurationError(f"{path}（{label}）{message}")
+
+
+def _mapping(value: Any, path: str) -> Mapping[str, Any]:
+    if not isinstance(value, Mapping):
+        raise _error(path, f"必须是对象，当前值：{value!r}")
+    return value
+
+
+def _required(source: Mapping[str, Any], key: str, path: str) -> Any:
+    if key not in source:
+        raise _error(f"{path}.{key}", "为必填配置")
+    return source[key]
+
+
+def _integer(value: Any, path: str, *, minimum: int, maximum: int) -> int:
+    if isinstance(value, bool) or not isinstance(value, int):
+        raise _error(path, f"必须是整数，当前值：{value!r}")
+    if not minimum <= value <= maximum:
+        raise _error(path, f"必须在 {minimum}～{maximum} 之间，当前值：{value!r}")
+    return value
+
+
+def _number(value: Any, path: str, *, minimum: float, maximum: float) -> float:
+    if isinstance(value, bool) or not isinstance(value, (int, float)):
+        raise _error(path, f"必须是数字，当前值：{value!r}")
+    result = float(value)
+    if not minimum <= result <= maximum:
+        raise _error(path, f"必须在 {minimum:g}～{maximum:g} 之间，当前值：{value!r}")
+    return result
+
+
+def _delays(value: Any, path: str) -> tuple[float, ...]:
+    if isinstance(value, (str, bytes)) or not isinstance(value, Sequence):
+        raise _error(path, f"必须是数字列表，当前值：{value!r}")
+    return tuple(
+        _number(item, f"{path}[{index}]", minimum=0, maximum=3600)
+        for index, item in enumerate(value)
+    )
+
+
+def _ensure_not_greater(*, smaller: float, larger: float, smaller_path: str, larger_path: str) -> None:
+    if smaller > larger:
+        raise _error(
+            smaller_path,
+            f"不得大于 {larger_path}（任务总时限），当前为 {smaller:g} > {larger:g}",
+        )
+
+
+def _field_number(
+    source: Mapping[str, Any],
+    key: str,
+    path: str,
+    *,
+    minimum: float = 0,
+    maximum: float = 86400,
+) -> float:
+    return _number(_required(source, key, path), f"{path}.{key}", minimum=minimum, maximum=maximum)
+
+
+def _field_delays(source: Mapping[str, Any], key: str, path: str) -> tuple[float, ...]:
+    return _delays(_required(source, key, path), f"{path}.{key}")
+
+
+def _validate_budget(
+    *,
+    total: float,
+    total_path: str,
+    bounded_values: Mapping[str, float],
+    delays: tuple[float, ...] = (),
+    delays_path: str = "",
+) -> None:
+    for value_path, value in bounded_values.items():
+        _ensure_not_greater(
+            smaller=value,
+            larger=total,
+            smaller_path=value_path,
+            larger_path=total_path,
+        )
+    for index, delay in enumerate(delays):
+        _ensure_not_greater(
+            smaller=delay,
+            larger=total,
+            smaller_path=f"{delays_path}[{index}]",
+            larger_path=total_path,
+        )
+
+
+def _request_policy(raw: Any, path: str) -> RequestRoutingPolicy:
+    source = _mapping(raw, path)
+    retry_delays = _field_delays(source, "retry_delays", path)
+    request_timeout = _field_number(source, "request_timeout", path, minimum=1)
+    total_timeout = _field_number(source, "total_timeout", path, minimum=1)
+    retry_after_cap = _field_number(source, "retry_after_cap", path, maximum=3600)
+    _validate_budget(
+        total=total_timeout,
+        total_path=f"{path}.total_timeout",
+        bounded_values={
+            f"{path}.request_timeout": request_timeout,
+            f"{path}.retry_after_cap": retry_after_cap,
+        },
+        delays=retry_delays,
+        delays_path=f"{path}.retry_delays",
+    )
+    return RequestRoutingPolicy(
+        retry_delays=retry_delays,
+        request_timeout=request_timeout,
+        total_timeout=total_timeout,
+        retry_after_cap=retry_after_cap,
+    )
+
+
+def _text_policy(raw: Any) -> TextRoutingPolicy:
+    path = "MODEL_ROUTING_POLICY.text"
+    source = _mapping(raw, path)
+    retry_delays = _field_delays(source, "retry_delays", path)
+    request_timeout = _field_number(source, "request_timeout", path, minimum=1)
+    stream_timeout = _field_number(source, "stream_timeout", path, minimum=1)
+    total_timeout = _field_number(source, "total_timeout", path, minimum=1)
+    retry_after_cap = _field_number(source, "retry_after_cap", path, maximum=3600)
+    _validate_budget(
+        total=total_timeout,
+        total_path=f"{path}.total_timeout",
+        bounded_values={
+            f"{path}.request_timeout": request_timeout,
+            f"{path}.stream_timeout": stream_timeout,
+            f"{path}.retry_after_cap": retry_after_cap,
+        },
+        delays=retry_delays,
+        delays_path=f"{path}.retry_delays",
+    )
+    return TextRoutingPolicy(
+        retry_delays=retry_delays,
+        request_timeout=request_timeout,
+        stream_timeout=stream_timeout,
+        total_timeout=total_timeout,
+        retry_after_cap=retry_after_cap,
+    )
+
+
+def _video_policy(raw: Any) -> VideoRoutingPolicy:
+    path = "MODEL_ROUTING_POLICY.video"
+    source = _mapping(raw, path)
+    retry_delays = _field_delays(source, "submit_retry_delays", path)
+    submit_timeout = _field_number(source, "submit_timeout", path, minimum=1)
+    submit_total_timeout = _field_number(source, "submit_total_timeout", path, minimum=1)
+    poll_request_timeout = _field_number(source, "poll_request_timeout", path, minimum=1)
+    generation_timeout = _field_number(source, "generation_timeout", path, minimum=1)
+    retry_after_cap = _field_number(source, "retry_after_cap", path, maximum=3600)
+    _validate_budget(
+        total=submit_total_timeout,
+        total_path=f"{path}.submit_total_timeout",
+        bounded_values={
+            f"{path}.submit_timeout": submit_timeout,
+            f"{path}.retry_after_cap": retry_after_cap,
+        },
+        delays=retry_delays,
+        delays_path=f"{path}.submit_retry_delays",
+    )
+    _validate_budget(
+        total=generation_timeout,
+        total_path=f"{path}.generation_timeout",
+        bounded_values={f"{path}.poll_request_timeout": poll_request_timeout},
+    )
+    return VideoRoutingPolicy(
+        submit_retry_delays=retry_delays,
+        submit_timeout=submit_timeout,
+        submit_total_timeout=submit_total_timeout,
+        poll_request_timeout=poll_request_timeout,
+        generation_timeout=generation_timeout,
+        retry_after_cap=retry_after_cap,
+    )
+
+
+def load_model_routing_policy(raw_policy: Any | None = None) -> ModelRoutingPolicy:
+    """读取并校验模型路由策略，返回不可变对象。
+
+    ``raw_policy`` 主要供测试和启动检查注入；省略时读取 Django settings。
+    配置错误统一抛出带中文字段含义、错误值和合法范围的异常。
+    """
+
+    raw = settings.MODEL_ROUTING_POLICY if raw_policy is None else raw_policy
+    source = _mapping(raw, "MODEL_ROUTING_POLICY")
+
+    path = "MODEL_ROUTING_POLICY"
+    max_models = _integer(_required(source, "max_models", path), f"{path}.max_models", minimum=1, maximum=10)
+    max_calls = _integer(_required(source, "max_calls", path), f"{path}.max_calls", minimum=1, maximum=20)
+    if max_calls < max_models:
+        raise _error(
+            "MODEL_ROUTING_POLICY.max_calls",
+            f"不得小于 max_models（最多尝试模型数量），当前为 {max_calls} < {max_models}",
+        )
+    jitter_ratio = _field_number(source, "jitter_ratio", path, maximum=1)
+    postprocess_path = f"{path}.postprocess"
+    postprocess_source = _mapping(_required(source, "postprocess", path), postprocess_path)
+
+    return ModelRoutingPolicy(
+        max_models=max_models,
+        max_calls=max_calls,
+        jitter_ratio=jitter_ratio,
+        text=_text_policy(_required(source, "text", path)),
+        image=_request_policy(_required(source, "image", path), f"{path}.image"),
+        audio=_request_policy(_required(source, "audio", path), f"{path}.audio"),
+        video=_video_policy(_required(source, "video", path)),
+        postprocess=PostprocessRoutingPolicy(
+            retry_delays=_field_delays(postprocess_source, "retry_delays", postprocess_path)
+        ),
+    )
+
+
+__all__ = [
+    "ModelRoutingPolicy",
+    "PostprocessRoutingPolicy",
+    "RequestRoutingPolicy",
+    "RoutingPolicyConfigurationError",
+    "TextRoutingPolicy",
+    "VideoRoutingPolicy",
+    "load_model_routing_policy",
+]

core/backend/apps/ai/script_agent.py

@@ -20,6 +20,7 @@ from __future__ import annotations
 
 import json
 import re
+from decimal import Decimal
 from functools import lru_cache
 from pathlib import Path
 
@@ -574,7 +575,7 @@ def stream_script_agent(
 ):
     """生成 SSE 帧字符串的同步生成器,供 StreamingHttpResponse 包裹。
     target_index 非空 = 精准只改第 N 镜(读全脚本上下文,后端强制保留其余镜原样)。"""
-    from apps.ai.services import build_provider, create_ai_task
+    from apps.ai.services import create_ai_task, stream_routed_text_request
 
     yield _sse({"type": "tool", "id": "skill", "label": "加载电商脚本技能", "status": "running"})
     skill_loaded = bool(load_ecommerce_skill())
@@ -619,6 +620,9 @@ def stream_script_agent(
                 "mode": mode,
                 "aspect_ratio": aspect_ratio,
                 "total_duration": total_duration,
+                "base_version_id": str(base_version_id or ""),
+                "target_index": target_index,
+                "model_routing_v1": True,
             },
         )
     except Exception as exc:  # noqa: BLE001 — 多为额度不足
@@ -639,13 +643,45 @@ def stream_script_agent(
             task.status = AITask.Status.SUBMITTED
             task.submitted_at = timezone.now()
             task.save(update_fields=["status", "submitted_at", "updated_at"])
-            provider = build_provider(model_config)
-            for ev in provider.chat_completion_stream(
-                model=model_config.name,
-                endpoint=model_config.endpoint,
+            def validate_script_text(raw_text: str) -> dict:
+                candidate = normalize_draft(
+                    raw_text,
+                    aspect_ratio=aspect_ratio,
+                    total_duration=effective_duration,
+                )
+                if target_index is not None and base_draft:
+                    return _merge_single_segment(
+                        base_draft,
+                        candidate,
+                        target_index,
+                        aspect_ratio,
+                        effective_duration,
+                    )
+                return candidate
+
+            routed_stream = stream_routed_text_request(
+                task=task,
+                primary_model=model_config,
                 messages=messages,
+                streaming=True,
+                structured_output=True,
+                business_operation="script_generate",
                 temperature=0.85,
-            ):
+                validate_text=validate_script_text,
+                request_summary={
+                    "mode": mode,
+                    "target_index": target_index,
+                    "base_version_id": str(base_version_id or ""),
+                    "aspect_ratio": aspect_ratio,
+                    "total_duration": effective_duration,
+                },
+            )
+            while True:
+                try:
+                    ev = next(routed_stream)
+                except StopIteration as completed:
+                    routed = completed.value
+                    break
                 et = ev.get("type")
                 if et == "reasoning":
                     # 思考流:推理模型在出 JSON 前会先想很久,把思考逐字下发给前端(像对话一样可见),
@@ -668,12 +704,8 @@ def stream_script_agent(
                             if piece.strip():
                                 yield _sse({"type": "delta", "text": piece})
                 elif et == "done":
-                    break
-            raw = "".join(full)
-            draft = normalize_draft(raw, aspect_ratio=aspect_ratio, total_duration=effective_duration)
-            if target_index is not None and base_draft:
-                # 精准改一镜:只采用新稿的第 target_index 镜,其余镜强制保持基准稿原样
-                draft = _merge_single_segment(base_draft, draft, target_index, aspect_ratio, effective_duration)
+                    continue
+            raw, _provider_response, draft = routed.value
         except Exception as exc:  # noqa: BLE001
             _fail_task(task, reservation, str(exc))
             settled = True
@@ -819,7 +851,7 @@ def regenerate_segment_via_agent(*, project, user, model_config: ModelConfig, se
     与 stream_script_agent 的 target_index 分支同源,但同步返回(不走 SSE)。计费 reserve→charge/release 闭环。"""
     from django.db import transaction
 
-    from apps.ai.services import build_provider, create_ai_task
+    from apps.ai.services import create_ai_task, execute_routed_text_request
     from apps.billing.services.ledger import charge_reserved_credit
 
     base_draft = _draft_from_version(segment.script_version)  # 用 DB 行重建基准,别用可能 stale 的 content
@@ -850,18 +882,40 @@ def regenerate_segment_via_agent(*, project, user, model_config: ModelConfig, se
             "endpoint": model_config.endpoint,
             "mode": "revise",
             "target_index": target_index,
+            "model_routing_v1": True,
         },
     )
     reservation = task.credit_reservation
+    # 每条真实尝试的平台成本由统一执行器累计；用户积分仍只结算这一条脚本任务。
+    task.base_cost = Decimal("0")
+    task.save(update_fields=["base_cost", "updated_at"])
+    # 实际平台成本由每条 AIModelAttempt 累加；用户积分仍只结算这一条逻辑任务。
+    task.base_cost = Decimal("0")
+    task.save(update_fields=["base_cost", "updated_at"])
     try:
         task.status = AITask.Status.SUBMITTED
         task.submitted_at = timezone.now()
         task.save(update_fields=["status", "submitted_at", "updated_at"])
-        provider = build_provider(model_config)
-        response = provider.chat_completion(model=model_config.name, endpoint=model_config.endpoint, messages=messages)
-        raw = provider.extract_text(response)
-        draft = normalize_draft(raw, aspect_ratio=aspect_ratio, total_duration=total_duration)
-        draft = _merge_single_segment(base_draft, draft, target_index, aspect_ratio, total_duration)
+        def validate_segment_text(raw_text: str) -> dict:
+            candidate = normalize_draft(raw_text, aspect_ratio=aspect_ratio, total_duration=total_duration)
+            return _merge_single_segment(base_draft, candidate, target_index, aspect_ratio, total_duration)
+
+        routed = execute_routed_text_request(
+            task=task,
+            primary_model=model_config,
+            messages=messages,
+            streaming=False,
+            structured_output=True,
+            business_operation="script_generate",
+            temperature=0.3,
+            validate_text=validate_segment_text,
+            request_summary={
+                "mode": "revise",
+                "target_index": target_index,
+                "base_version_id": str(segment.script_version_id),
+            },
+        )
+        raw, _response, draft = routed.value
         with transaction.atomic():
             task.status = AITask.Status.SUCCEEDED
             task.response_payload = {"raw": raw[:8000]}
@@ -871,6 +925,6 @@ def regenerate_segment_via_agent(*, project, user, model_config: ModelConfig, se
             charge_reserved_credit(reservation=reservation, actual_amount=task.actual_cost)
             script = persist_script_draft(project=project, user=user, task=task, draft=draft, source="revise")
         return script
-    except Exception:
-        _fail_task(task, reservation, "单镜重跑失败")
+    except Exception as exc:
+        _fail_task(task, reservation, str(exc) or "单镜重跑失败")
         raise

core/backend/apps/ai/tasks.py

@@ -63,7 +63,7 @@ def generate_model_triview_task(self, task_id: str) -> str:
 @app.task(bind=True, max_retries=0)
 def poll_free_video_task(self, task_id: str, attempt: int = 0) -> str:
     """自由创作视频·worker 兜底轮询:每 30s 一次自重排(不依赖 celery beat),
-    上限 60 次(≈30 分钟,足够 Seedance 5-10 分钟出片)。finalize 幂等(POSTPROCESSING 认领),
+    总等待上限由统一视频 generation_timeout 配置控制。finalize 幂等(POSTPROCESSING 认领),
     与前端主动 poll 并存不双扣。轮询本身出错不重试(max_retries=0),下一次自重排继续。"""
     from apps.ai.free_video import finalize_free_video
     from apps.ai.models import AITask
@@ -82,7 +82,9 @@ def poll_free_video_task(self, task_id: str, attempt: int = 0) -> str:
 
     if getattr(dj_settings, "CELERY_TASK_ALWAYS_EAGER", False):
         return task_id
-    if task.status in (AITask.Status.SUBMITTED, AITask.Status.POLLING) and attempt < 60:
+    # 是否终止由 finalize_free_video 读取统一 generation_timeout 决定；这里不再维护一套
+    # “60 次轮询”硬编码，避免修改成片等待时限时 Worker 与 Web 轮询口径不一致。
+    if task.status in (AITask.Status.SUBMITTED, AITask.Status.POLLING):
         poll_free_video_task.apply_async(args=[task_id, attempt + 1], countdown=30)
     return task_id
 

core/backend/apps/ai/test_base_asset_routing.py

@@ -0,0 +1,248 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import generate_base_asset, run_base_asset_task
+from apps.assets.models import Asset, AssetFile
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import BaseAssetGroup, Project
+
+
+def _image_metadata(*, outbound=True, priority=20, base_cost="0.50"):
+    return {
+        "routing": {
+            "fallback_on_failure": outbound,
+            "fallback_candidate": True,
+        },
+        "capabilities": {
+            "operations": ["image_generate", "image_edit"],
+            "features": [],
+            "reference_modes": ["none", "single", "multiple"],
+            "max_reference_images": 9,
+            "aspect_ratios": ["1:1", "3:4", "4:5", "9:16", "16:9"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+        "test_priority": priority,
+    }
+
+
+class BaseAssetRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.IMAGE).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="base-routing", password="x")
+        self.team = Team.objects.create(name="Base Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        self.product = Product.objects.create(
+            team=self.team,
+            created_by=self.user,
+            title="橙色童装上衣",
+            category="服饰内衣",
+        )
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=self.product,
+            name="基础资产路由项目",
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_image_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.services._store_generated_media", side_effect=self._store_media).start()
+        patch("apps.ai.tasks.generate_base_asset_task.delay").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.IMAGE,
+            endpoint="images/generations",
+            unit_price=Decimal("20"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_image_metadata(
+                outbound=outbound,
+                priority=(provider.metadata or {}).get("routing", {}).get("fallback_priority", 20),
+                base_cost=base_cost,
+            ),
+        )
+
+    @staticmethod
+    def _new_provider_mock():
+        provider = Mock()
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/out.png"}]}
+        provider.image_edit.return_value = {"data": [{"url": "http://example.test/out.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    @staticmethod
+    def _new_generation_only_provider_mock():
+        provider = Mock(spec=["image_generation", "extract_first_media_url"])
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/out.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    def _store_media(self, **kwargs):
+        return Asset.objects.create(
+            team=kwargs["team"],
+            created_by=kwargs["user"],
+            name=kwargs["name"],
+            asset_type=kwargs["asset_type"],
+            source=Asset.Source.AI_GENERATED,
+            category=kwargs["category"],
+            origin_task=kwargs["task"],
+        )
+
+    def reference_asset(self, name="商品主图", category=Asset.Category.PRODUCT_IMAGE):
+        asset = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name=name,
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.UPLOAD,
+            category=category,
+        )
+        AssetFile.objects.create(
+            asset=asset,
+            object_key=f"{name}.png",
+            bucket="bucket",
+            content_type="image/png",
+            preview_url=f"http://example.test/{name}.png",
+            is_primary=True,
+        )
+        return asset
+
+    def submit(self, kind, *, reference_asset_id=None):
+        return generate_base_asset(
+            project=self.project,
+            user=self.user,
+            kind=kind,
+            prompt=f"{kind} 基础资产提示词",
+            label=f"{kind}-label",
+            reference_asset_id=reference_asset_id,
+        )
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_product_reference_uses_routed_image_edit_and_keeps_group(self):
+        primary = self.model(self.provider("base-product-primary", 20), "base-product")
+        cover = self.reference_asset()
+        self.product.cover_asset = cover
+        self.product.save(update_fields=["cover_asset"])
+        task = self.submit(BaseAssetGroup.Kind.PRODUCT)
+
+        run_base_asset_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 1)
+        self.assertEqual(attempt.request_summary["base_asset_kind"], "product")
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(call.kwargs["images"], ["http://example.test/商品主图.png"])
+        group = BaseAssetGroup.objects.get(project=self.project, kind=BaseAssetGroup.Kind.PRODUCT)
+        self.assertEqual(group.adopted_asset.origin_task_id, task.id)
+        self.assertEqual(group.metadata["label"], "product-label")
+
+    def test_person_and_scene_without_reference_use_routed_generation(self):
+        primary = self.model(self.provider("base-generate-primary", 20), "base-generate")
+        for kind in (BaseAssetGroup.Kind.PERSON, BaseAssetGroup.Kind.SCENE):
+            with self.subTest(kind=kind):
+                task = self.submit(kind)
+                run_base_asset_task(task_id=str(task.id))
+                task.refresh_from_db()
+                self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+                attempt = task.model_attempts.get()
+                self.assertEqual(attempt.model_config_id, primary.id)
+                self.assertEqual(attempt.operation, "image_generate")
+                self.assertEqual(attempt.request_summary["reference_images"], 0)
+                self.assertEqual(attempt.request_summary["base_asset_kind"], kind)
+                group = BaseAssetGroup.objects.get(project=self.project, kind=kind)
+                self.assertEqual(group.adopted_asset.origin_task_id, task.id)
+
+    def test_person_rerun_reference_is_preserved_across_fallback(self):
+        primary = self.model(
+            self.provider("base-person-primary", 100), "person-primary", base_cost="0.25"
+        )
+        candidate = self.model(
+            self.provider("volcano", 10), "person-candidate", outbound=False, base_cost="0.75"
+        )
+        portrait = self.reference_asset("人物立绘", Asset.Category.PERSON)
+        task = self.submit(BaseAssetGroup.Kind.PERSON, reference_asset_id=str(portrait.id))
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        run_base_asset_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([a.model_config_id for a in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(a.request_summary["reference_images"] == 1 for a in attempts))
+        self.assertTrue(all(a.public_model_name == "AirShelf Image" for a in attempts))
+        candidate_call = self.provider_mocks[candidate.id].image_edit.call_args
+        self.assertEqual(candidate_call.kwargs["images"], ["http://example.test/人物立绘.png"])
+        self.assertEqual(task.base_cost, Decimal("0.7500"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_base_asset_candidates_fail_release_once(self):
+        primary = self.model(self.provider("base-all-primary", 100), "base-primary")
+        candidate = self.model(self.provider("volcano", 10), "base-candidate", outbound=False)
+        task = self.submit(BaseAssetGroup.Kind.SCENE)
+        for model in (primary, candidate):
+            self.provider_mocks[model.id] = self._new_provider_mock()
+            self.provider_mocks[model.id].image_generation.side_effect = requests.ConnectionError("offline")
+
+        run_base_asset_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 3)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_direct_product_primary_uses_image_input_and_public_real_name(self):
+        primary = self.model(
+            self.provider("volcano", 10), "seedream-base-product", outbound=False
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        cover = self.reference_asset()
+        self.product.cover_asset = cover
+        self.product.save(update_fields=["cover_asset"])
+        task = self.submit(BaseAssetGroup.Kind.PRODUCT)
+
+        run_base_asset_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["image"], ["http://example.test/商品主图.png"])
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)

core/backend/apps/ai/test_entity_extraction_routing.py

@@ -0,0 +1,238 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import EXTRACT_TEXT_MODEL_NAME, run_extract_entities_task, submit_extract_entities
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project, ScriptSegment, ScriptVersion
+
+
+def _metadata(*, outbound=True, base_cost="0.50"):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["chat"],
+            "features": ["streaming", "structured_output"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class EntityExtractionRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.TEXT).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="entity-routing", password="x")
+        self.team = Team.objects.create(name="Entity Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="实体提取路由项目",
+            metadata={"cast": ["旧角色"], "entities_extracted": False},
+        )
+        self.script = ScriptVersion.objects.create(
+            project=self.project,
+            title="脚本",
+            content="结构化脚本",
+            is_adopted=True,
+        )
+        self.segment = ScriptSegment.objects.create(
+            script_version=self.script,
+            sort_order=0,
+            narration="女主在客厅展示商品",
+            visual_prompt="女主站在客厅",
+            entity_refs=["old"],
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_text_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.tasks.extract_entities_task.delay").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            unit_price=Decimal("10"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost),
+        )
+
+    @staticmethod
+    def valid_events():
+        return [
+            {
+                "type": "delta",
+                "text": (
+                    '{"entities":['
+                    '{"id":"c1","type":"character","name":"女主","visual_prompt":"都市女主"},'
+                    '{"id":"s1","type":"scene","name":"客厅","visual_prompt":"现代客厅"}'
+                    '],"segments":[{"index":0,"entity_refs":["c1","s1"]}]}'
+                ),
+            },
+            {"type": "done"},
+        ]
+
+    @staticmethod
+    def invalid_events():
+        return [{"type": "delta", "text": "这是一段没有 JSON 的解释"}, {"type": "done"}]
+
+    @classmethod
+    def _new_provider_mock(cls):
+        provider = Mock()
+        provider.chat_completion_stream.return_value = cls.valid_events()
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    def submit(self):
+        return submit_extract_entities(project=self.project, user=self.user)
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_first_success_records_streaming_structured_attempt_and_persists_entities(self):
+        primary = self.model(self.provider("entity-primary", 20), "entity-primary")
+        task = self.submit()
+
+        run_extract_entities_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.project.refresh_from_db()
+        self.segment.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "chat")
+        self.assertTrue(attempt.request_summary["streaming"])
+        self.assertTrue(attempt.request_summary["structured_output"])
+        self.assertEqual(attempt.request_summary["business_operation"], "entity_extract")
+        self.assertEqual(attempt.public_model_name, "AirShelf Script")
+        self.assertTrue(self.project.metadata["entities_extracted"])
+        self.assertEqual(self.project.metadata["cast"], ["女主"])
+        self.assertEqual(self.project.metadata["scenes"], ["客厅"])
+        self.assertEqual(self.segment.entity_refs, ["c1", "s1"])
+        call = self.provider_mocks[primary.id].chat_completion_stream.call_args
+        self.assertGreater(call.kwargs["timeout"], 0)
+        self.assertEqual(call.kwargs["temperature"], 0.3)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_invalid_structure_retries_then_falls_back_and_records_failed_call_costs(self):
+        primary = self.model(
+            self.provider("entity-fallback-primary", 100),
+            "entity-primary",
+            base_cost="0.25",
+        )
+        candidate = self.model(
+            self.provider("entity-fallback-candidate", 10),
+            "entity-candidate",
+            outbound=False,
+            base_cost="0.75",
+        )
+        primary_mock = self._new_provider_mock()
+        primary_mock.chat_completion_stream.side_effect = [
+            self.invalid_events(),
+            self.invalid_events(),
+            self.invalid_events(),
+        ]
+        self.provider_mocks[primary.id] = primary_mock
+        task = self.submit()
+
+        run_extract_entities_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(
+            [a.model_config_id for a in attempts],
+            [primary.id, primary.id, primary.id, candidate.id],
+        )
+        self.assertEqual(
+            [a.status for a in attempts],
+            ["failed", "failed", "failed", "succeeded"],
+        )
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(attempts[0].response_summary["validation_failed"])
+        self.assertEqual(task.base_cost, Decimal("1.5000"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_candidates_fail_releases_and_preserves_old_project_metadata(self):
+        primary = self.model(self.provider("entity-all-primary", 100), "entity-primary")
+        fallback_1 = self.model(
+            self.provider("entity-all-fallback-1", 10), "entity-fallback-1", outbound=False
+        )
+        fallback_2 = self.model(
+            self.provider("entity-all-fallback-2", 20), "entity-fallback-2", outbound=False
+        )
+        for model in (primary, fallback_1, fallback_2):
+            provider = self._new_provider_mock()
+            provider.chat_completion_stream.side_effect = requests.ConnectionError("offline")
+            self.provider_mocks[model.id] = provider
+        task = self.submit()
+
+        run_extract_entities_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.project.refresh_from_db()
+        self.segment.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 4)
+        self.assertEqual(self.project.metadata["cast"], ["旧角色"])
+        self.assertFalse(self.project.metadata["entities_extracted"])
+        self.assertEqual(self.segment.entity_refs, ["old"])
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_direct_doubao_primary_retries_but_does_not_switch_when_outbound_disabled(self):
+        primary = self.model(
+            self.provider("doubao", 10), EXTRACT_TEXT_MODEL_NAME, outbound=False
+        )
+        candidate = self.model(
+            self.provider("entity-unused-candidate", 20), "entity-unused", outbound=False
+        )
+        provider = self._new_provider_mock()
+        provider.chat_completion_stream.side_effect = requests.ConnectionError("offline")
+        self.provider_mocks[primary.id] = provider
+        task = self.submit()
+
+        run_extract_entities_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [primary.id, primary.id, primary.id],
+        )
+        self.assertFalse(any(attempt.model_config_id == candidate.id for attempt in attempts))
+        self.assertTrue(all(attempt.public_model_name == primary.display_name for attempt in attempts))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)

core/backend/apps/ai/test_free_video_routing.py

@@ -0,0 +1,243 @@
+from copy import deepcopy
+from datetime import timedelta
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.conf import settings
+from django.test import TestCase, override_settings
+from django.utils import timezone
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.free_video import finalize_free_video, submit_free_video
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.assets.models import Asset
+from apps.billing.models import CreditAccount, CreditLedger
+
+
+STANDARD = "doubao-seedance-2-0-260128"
+
+
+def _fast_routing_policy():
+    policy = deepcopy(settings.MODEL_ROUTING_POLICY)
+    policy["jitter_ratio"] = 0
+    policy["video"]["submit_retry_delays"] = [0]
+    return policy
+
+
+def _candidate_metadata(*, outbound=False, max_images=9, max_videos=3, max_audios=3):
+    return {
+        "routing": {
+            "fallback_on_failure": outbound,
+            "fallback_candidate": True,
+        },
+        "capabilities": {
+            "operations": ["video_generate"],
+            "features": ["generate_audio"],
+            "max_reference_images": max_images,
+            "max_reference_videos": max_videos,
+            "max_reference_audios": max_audios,
+            "aspect_ratios": ["16:9"],
+            "resolutions": ["480p"],
+            "durations": [4],
+        },
+        "pricing": {
+            "unit": "cny_per_million_tokens",
+            "default": {"no_ref_video": 23, "with_ref_video": 14},
+        },
+    }
+
+
+@override_settings(MODEL_ROUTING_POLICY=_fast_routing_policy())
+class FreeVideoRoutingTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="free-video-routing", password="x")
+        self.team = Team.objects.create(name="Free Video Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("10000"))
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.VIDEO).update(
+            status=ModelConfig.Status.DISABLED,
+            is_default=False,
+        )
+        self.primary = ModelConfig.objects.select_related("provider").get(
+            name=STANDARD,
+            capability=ModelConfig.Capability.VIDEO,
+        )
+        primary_metadata = deepcopy(self.primary.metadata or {})
+        primary_metadata.setdefault("routing", {})["fallback_on_failure"] = True
+        primary_metadata["routing"]["fallback_candidate"] = True
+        self.primary.metadata = primary_metadata
+        self.primary.status = ModelConfig.Status.ACTIVE
+        self.primary.is_default = True
+        self.primary.provider.status = ModelProvider.Status.ACTIVE
+        self.primary.provider.metadata = {"routing": {"fallback_priority": 10}}
+        self.primary.provider.save(update_fields=["status", "metadata", "updated_at"])
+        self.primary.save(update_fields=["metadata", "status", "is_default", "updated_at"])
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_video_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.tasks.poll_free_video_task.apply_async").start()
+        patch("apps.ai.free_video._notify_failure").start()
+        self.addCleanup(patch.stopall)
+
+    def candidate(self, name="free-video-candidate", **metadata_overrides):
+        provider = ModelProvider.objects.create(
+            name=f"{name}-provider",
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            base_url="https://video.example/v1",
+            metadata={"routing": {"fallback_priority": 20}},
+        )
+        metadata = _candidate_metadata(**metadata_overrides)
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.VIDEO,
+            endpoint="videos",
+            status=ModelConfig.Status.ACTIVE,
+            metadata=metadata,
+        )
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, Mock())
+
+    def params(self, **overrides):
+        params = {
+            "prompt": "A product video",
+            "mode": "universal",
+            "model": STANDARD,
+            "aspect_ratio": "16:9",
+            "resolution": "480p",
+            "duration": 4,
+            "generate_audio": True,
+            "references": [],
+        }
+        params.update(overrides)
+        return params
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_multi_material_fallback_uses_actual_model_for_poll_and_settlement(self):
+        candidate = self.candidate()
+        primary_provider = self._provider_for(self.primary)
+        fallback_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ConnectionError("primary offline")
+        fallback_provider.create_video_task.return_value = {"id": "free-fallback", "status": "queued"}
+        references = [
+            {"url": "https://media.example/ref.png", "type": "image", "label": "image"},
+            {"url": "https://media.example/ref.mp4", "type": "video", "label": "video", "duration": 1},
+            {"url": "https://media.example/ref.mp3", "type": "audio", "label": "audio"},
+        ]
+
+        task = submit_free_video(team=self.team, user=self.user, params=self.params(references=references))
+
+        self.assertEqual(task.status, AITask.Status.SUBMITTED)
+        self.assertEqual(task.provider_task_id, "free-fallback")
+        self.assertEqual(task.request_payload["actual_model_config_id"], str(candidate.id))
+        attempts = list(task.model_attempts.order_by("sequence"))
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [self.primary.id, self.primary.id, candidate.id],
+        )
+        self.assertEqual(attempts[-1].request_summary["reference_images"], 1)
+        self.assertEqual(attempts[-1].request_summary["reference_videos"], 1)
+        self.assertEqual(attempts[-1].request_summary["reference_audios"], 1)
+        submit_call = fallback_provider.create_video_task.call_args.kwargs
+        self.assertEqual(len(submit_call["content_items"]), 3)
+        self.assertEqual(submit_call["timeout"], 120.0)
+
+        fallback_provider.poll_video_task.return_value = {
+            "status": "succeeded",
+            "usage": {"total_tokens": 30000},
+            "content": {"video_url": "https://video.example/result.mp4"},
+        }
+        fallback_provider.extract_first_media_url.return_value = "https://video.example/result.mp4"
+        with patch("apps.ai.free_video._store_free_video_media") as store_media:
+            store_media.return_value = Asset.objects.create(
+                team=self.team,
+                created_by=self.user,
+                name="free result",
+                asset_type=Asset.Type.VIDEO,
+                source=Asset.Source.AI_GENERATED,
+                category=Asset.Category.FREE_CREATE,
+                origin_task=task,
+            )
+            result = finalize_free_video(task=task)
+
+        self.assertEqual(result.status, AITask.Status.SUCCEEDED)
+        self.assertFalse(primary_provider.poll_video_task.called)
+        fallback_provider.poll_video_task.assert_called_once_with(
+            endpoint=candidate.endpoint,
+            provider_task_id="free-fallback",
+            timeout=60.0,
+        )
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_candidate_missing_audio_capacity_is_filtered_out(self):
+        candidate = self.candidate("free-video-incompatible", max_audios=0)
+        primary_provider = self._provider_for(self.primary)
+        unused_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ConnectionError("primary offline")
+        references = [
+            {"url": "https://media.example/ref.png", "type": "image"},
+            {"url": "https://media.example/ref.mp3", "type": "audio"},
+        ]
+
+        task = submit_free_video(team=self.team, user=self.user, params=self.params(references=references))
+
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertFalse(unused_provider.create_video_task.called)
+        self.assertEqual(task.model_attempts.count(), 2)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_submit_read_timeout_is_not_retried_or_fallbacked(self):
+        candidate = self.candidate("free-video-timeout-unused")
+        primary_provider = self._provider_for(self.primary)
+        unused_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ReadTimeout("response lost")
+
+        task = submit_free_video(team=self.team, user=self.user, params=self.params())
+
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertFalse(unused_provider.create_video_task.called)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_poll_network_error_keeps_inflight_task_and_reservation(self):
+        provider = self._provider_for(self.primary)
+        provider.create_video_task.return_value = {"id": "free-poll", "status": "queued"}
+        task = submit_free_video(team=self.team, user=self.user, params=self.params())
+        provider.poll_video_task.side_effect = requests.ConnectionError("poll offline")
+
+        with self.assertRaises(requests.ConnectionError):
+            finalize_free_video(task=task)
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUBMITTED)
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+        self.assertGreater(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_generation_timeout_releases_without_polling_or_resubmitting(self):
+        provider = self._provider_for(self.primary)
+        provider.create_video_task.return_value = {"id": "free-slow", "status": "queued"}
+        task = submit_free_video(team=self.team, user=self.user, params=self.params())
+        task.submitted_at = timezone.now() - timedelta(seconds=1900)
+        task.save(update_fields=["submitted_at", "updated_at"])
+
+        result = finalize_free_video(task=task)
+
+        result.refresh_from_db()
+        self.assertEqual(result.status, AITask.Status.FAILED)
+        self.assertFalse(provider.poll_video_task.called)
+        self.assertEqual(provider.create_video_task.call_count, 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))

core/backend/apps/ai/test_model_routing.py

@@ -0,0 +1,348 @@
+from copy import deepcopy
+from datetime import timedelta
+
+from django.conf import settings
+from django.test import SimpleTestCase, TestCase, override_settings
+from django.utils import timezone
+
+from apps.adminpanel.serializers import AdminModelConfigSerializer, AdminModelProviderSerializer
+from apps.ai.catalog import VOLCANO_MODELS, VOLCANO_PROVIDER, YUNQI_MODELS, YUNQI_PROVIDER
+from apps.ai.model_routing import (
+    ModelRequirements,
+    match_model_requirements,
+    model_metadata_errors,
+    provider_metadata_errors,
+    resolve_fallback_candidates,
+)
+from apps.ai.models import ModelConfig, ModelProvider
+
+
+def text_metadata(*, outbound=True, candidate=True):
+    return {
+        "routing": {
+            "fallback_on_failure": outbound,
+            "fallback_candidate": candidate,
+        },
+        "capabilities": {
+            "operations": ["chat"],
+            "features": ["streaming", "structured_output"],
+        },
+    }
+
+
+class ModelRequirementsMatchTests(SimpleTestCase):
+    def model(self, capability, metadata):
+        return ModelConfig(name="match-model", display_name="Match", capability=capability, metadata=metadata)
+
+    def test_requirements_reject_invalid_reference_and_limit_values(self):
+        with self.assertRaisesRegex(ValueError, "reference_images 不能为负数"):
+            ModelRequirements(capability="image", operation="image_generate", reference_images=-1)
+        with self.assertRaisesRegex(ValueError, "reference_images 必须等于 1"):
+            ModelRequirements(
+                capability="image",
+                operation="image_edit",
+                reference_mode="single",
+                reference_images=2,
+            )
+
+    def test_image_requires_exact_operation_reference_mode_count_and_ratio(self):
+        model = self.model(
+            ModelConfig.Capability.IMAGE,
+            {
+                "capabilities": {
+                    "operations": ["image_generate", "image_edit"],
+                    "features": [],
+                    "reference_modes": ["none", "single", "multiple"],
+                    "max_reference_images": 4,
+                    "aspect_ratios": ["1:1", "9:16"],
+                }
+            },
+        )
+        matched = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="image",
+                operation="image_edit",
+                reference_mode="multiple",
+                reference_images=4,
+                aspect_ratio="9:16",
+            ),
+        )
+        rejected = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="image",
+                operation="image_edit",
+                reference_mode="multiple",
+                reference_images=5,
+                aspect_ratio="16:9",
+            ),
+        )
+
+        self.assertTrue(matched.matched)
+        self.assertFalse(rejected.matched)
+        self.assertTrue(any("参考图片上限不足" in reason for reason in rejected.reasons))
+        self.assertTrue(any("画面比例" in reason for reason in rejected.reasons))
+
+    def test_video_requires_features_resolution_duration_and_exact_price_tier(self):
+        model = self.model(
+            ModelConfig.Capability.VIDEO,
+            {
+                "pricing": {"default": {"no_ref_video": 1}, "1080p": {"no_ref_video": 2}},
+                "capabilities": {
+                    "operations": ["video_generate"],
+                    "features": ["text_to_video", "start_frame", "generate_audio"],
+                    "resolutions": ["720p", "1080p", "4k"],
+                    "durations": [5, 10],
+                    "aspect_ratios": ["16:9"],
+                },
+            },
+        )
+        matched = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="video",
+                operation="video_generate",
+                features=frozenset({"start_frame", "generate_audio"}),
+                resolution="1080p",
+                duration=10,
+                aspect_ratio="16:9",
+            ),
+        )
+        rejected = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="video",
+                operation="video_generate",
+                features=frozenset({"video_reference"}),
+                resolution="4k",
+                duration=10,
+                aspect_ratio="16:9",
+            ),
+        )
+
+        self.assertTrue(matched.matched)
+        self.assertFalse(rejected.matched)
+        self.assertTrue(any("video_reference" in reason for reason in rejected.reasons))
+        self.assertTrue(any("4k 的视频价格" in reason for reason in rejected.reasons))
+
+    def test_audio_requires_public_voice_mapping_and_limits(self):
+        model = self.model(
+            ModelConfig.Capability.AUDIO,
+            {
+                "capabilities": {
+                    "operations": ["tts"],
+                    "features": [],
+                    "languages": ["zh-CN"],
+                    "voice_map": {"narrator": "provider-voice-7"},
+                    "max_chars": 1000,
+                    "speed_range": [0.5, 2.0],
+                    "output_formats": ["mp3"],
+                }
+            },
+        )
+        matched = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="audio",
+                operation="tts",
+                language="zh-CN",
+                public_voice="narrator",
+                char_count=999,
+                speed_ratio=1.5,
+                output_format="mp3",
+            ),
+        )
+        rejected = match_model_requirements(
+            model,
+            ModelRequirements(
+                capability="audio",
+                operation="tts",
+                language="zh-CN",
+                public_voice="unknown",
+                char_count=1001,
+                speed_ratio=3,
+                output_format="wav",
+            ),
+        )
+
+        self.assertTrue(matched.matched)
+        self.assertFalse(rejected.matched)
+        self.assertGreaterEqual(len(rejected.reasons), 4)
+
+    def test_missing_capability_contract_is_conservatively_rejected(self):
+        model = self.model(ModelConfig.Capability.TEXT, {"routing": {"fallback_candidate": True}})
+        result = match_model_requirements(model, ModelRequirements(capability="text", operation="chat"))
+
+        self.assertFalse(result.matched)
+        self.assertIn("不支持操作 chat", result.reasons)
+
+    def test_chinese_metadata_validation_catches_bad_switches_and_priority(self):
+        self.assertTrue(provider_metadata_errors({"routing": {"fallback_priority": True}}))
+        errors = model_metadata_errors(
+            "video",
+            {
+                "routing": {"fallback_on_failure": "yes", "fallback_candidate": True},
+                "capabilities": {"operations": ["video_generate"]},
+            },
+        )
+
+        self.assertTrue(any("true 或 false" in error for error in errors))
+        self.assertTrue(any("resolutions" in error for error in errors))
+        self.assertTrue(any("durations" in error for error in errors))
+
+    def test_bootstrap_catalog_contains_persistent_routing_contracts(self):
+        self.assertEqual(VOLCANO_PROVIDER["metadata"]["routing"]["fallback_priority"], 10)
+        self.assertEqual(YUNQI_PROVIDER["metadata"]["routing"]["fallback_priority"], 20)
+        for item in VOLCANO_MODELS + YUNQI_MODELS:
+            self.assertIn("routing", item["metadata"])
+            self.assertIn("capabilities", item["metadata"])
+            self.assertTrue(item["metadata"]["routing"]["fallback_candidate"])
+            self.assertTrue(item["metadata"]["capabilities"]["operations"])
+
+
+class DynamicFallbackCandidateTests(TestCase):
+    requirements = ModelRequirements(capability="text", operation="chat")
+
+    def setUp(self):
+        # 数据迁移会种入真实候选；路由单测只比较本用例创建的数据，避免环境顺序干扰。
+        ModelConfig.objects.all().update(status=ModelConfig.Status.DISABLED)
+
+    def provider(self, name, priority=100, status=ModelProvider.Status.ACTIVE):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=status,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, candidate=True, status=ModelConfig.Status.ACTIVE, metadata=None):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            status=status,
+            metadata=metadata if metadata is not None else text_metadata(outbound=outbound, candidate=candidate),
+        )
+
+    def policy(self, max_models=5):
+        raw = deepcopy(settings.MODEL_ROUTING_POLICY)
+        raw["max_models"] = max_models
+        raw["max_calls"] = max(raw["max_calls"], max_models)
+        return raw
+
+    def test_dynamic_order_is_priority_then_latest_updated_at(self):
+        primary = self.model(self.provider("route-primary", 500), "primary")
+        priority_10 = self.model(self.provider("route-priority-10", 10), "priority-10")
+        priority_20 = self.model(self.provider("route-priority-20", 20), "priority-20")
+        normal_provider = self.provider("route-normal", 100)
+        normal_old = self.model(normal_provider, "normal-old")
+        normal_new = self.model(normal_provider, "normal-new")
+        now = timezone.now()
+        ModelConfig.objects.filter(pk=normal_old.pk).update(updated_at=now - timedelta(days=1))
+        ModelConfig.objects.filter(pk=normal_new.pk).update(updated_at=now)
+
+        with override_settings(MODEL_ROUTING_POLICY=self.policy()):
+            candidates = resolve_fallback_candidates(primary_model=primary, requirements=self.requirements)
+
+        self.assertEqual(
+            [model.name for model in candidates],
+            [priority_10.name, priority_20.name, normal_new.name, normal_old.name],
+        )
+
+    def test_user_primary_is_preserved_and_outbound_switch_can_stop_fallback(self):
+        primary = self.model(self.provider("route-stop-primary", 500), "primary", outbound=False)
+        self.model(self.provider("route-stop-candidate", 1), "candidate")
+
+        candidates = resolve_fallback_candidates(primary_model=primary, requirements=self.requirements)
+
+        self.assertEqual(candidates, [])
+        self.assertEqual(primary.name, "primary")
+
+    def test_attempted_models_excluded_providers_and_disabled_rows_are_filtered(self):
+        primary = self.model(self.provider("route-filter-primary", 500), "primary")
+        attempted = self.model(self.provider("route-filter-attempted", 1), "attempted")
+        excluded = self.model(self.provider("route-filter-provider", 2), "excluded")
+        disabled_model = self.model(
+            self.provider("route-filter-disabled-model", 3),
+            "disabled-model",
+            status=ModelConfig.Status.DISABLED,
+        )
+        disabled_provider = self.model(
+            self.provider("route-filter-disabled-provider", 4, ModelProvider.Status.DISABLED),
+            "disabled-provider",
+        )
+        valid = self.model(self.provider("route-filter-valid", 5), "valid")
+
+        with override_settings(MODEL_ROUTING_POLICY=self.policy()):
+            candidates = resolve_fallback_candidates(
+                primary_model=primary,
+                requirements=self.requirements,
+                attempted_model_ids={attempted.id},
+                excluded_provider_ids={excluded.provider_id},
+            )
+
+        self.assertEqual([model.id for model in candidates], [valid.id])
+        self.assertNotIn(disabled_model.id, [model.id for model in candidates])
+        self.assertNotIn(disabled_provider.id, [model.id for model in candidates])
+
+    def test_new_openai_compatible_provider_enters_pool_by_data_only(self):
+        primary = self.model(self.provider("route-data-primary", 500), "primary")
+        future_provider = self.provider("future-openai-compatible-provider", 15)
+        future_model = self.model(future_provider, "future-text-model")
+
+        candidates = resolve_fallback_candidates(primary_model=primary, requirements=self.requirements)
+
+        self.assertEqual([model.id for model in candidates], [future_model.id])
+
+    def test_unconfigured_or_incompatible_candidates_are_conservatively_excluded(self):
+        primary = self.model(self.provider("route-safe-primary", 500), "primary")
+        self.model(self.provider("route-safe-missing", 1), "missing", metadata={})
+        self.model(
+            self.provider("route-safe-incompatible", 2),
+            "incompatible",
+            metadata={
+                "routing": {"fallback_on_failure": True, "fallback_candidate": True},
+                "capabilities": {"operations": ["embeddings"], "features": []},
+            },
+        )
+
+        candidates = resolve_fallback_candidates(primary_model=primary, requirements=self.requirements)
+
+        self.assertEqual(candidates, [])
+
+    def test_admin_serializers_reject_invalid_metadata_with_chinese_message(self):
+        provider = self.provider("route-admin", 100)
+        model = self.model(provider, "admin-model")
+        provider_serializer = AdminModelProviderSerializer(
+            provider,
+            data={"metadata": {"routing": {"fallback_priority": "first"}}},
+            partial=True,
+        )
+        model_serializer = AdminModelConfigSerializer(
+            model,
+            data={
+                "metadata": {
+                    "routing": {"fallback_candidate": True, "fallback_on_failure": True},
+                    "capabilities": {},
+                }
+            },
+            partial=True,
+        )
+
+        self.assertFalse(provider_serializer.is_valid())
+        self.assertIn("数字越小越优先", str(provider_serializer.errors))
+        self.assertFalse(model_serializer.is_valid())
+        self.assertIn("至少配置一个操作", str(model_serializer.errors))
+
+    def test_data_migration_seeded_existing_yunqi_rows(self):
+        provider = ModelProvider.objects.filter(name="yunqi").first()
+        model = ModelConfig.objects.filter(provider__name="yunqi", capability="image").first()
+
+        self.assertIsNotNone(provider)
+        self.assertEqual(provider.metadata["routing"]["fallback_priority"], 20)
+        self.assertIsNotNone(model)
+        self.assertIn("routing", model.metadata)
+        self.assertIn("capabilities", model.metadata)

core/backend/apps/ai/test_model_triview_routing.py

@@ -0,0 +1,216 @@
+from decimal import Decimal
+from io import BytesIO
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import generate_model_triview, run_model_triview_task
+from apps.assets.models import Asset, AssetFile, Model
+from apps.billing.models import CreditAccount, CreditLedger
+
+
+def _metadata(*, outbound=True, base_cost="0.50"):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["image_generate", "image_edit"],
+            "features": [],
+            "reference_modes": ["none", "single", "multiple"],
+            "max_reference_images": 9,
+            "aspect_ratios": ["1:1", "3:4", "4:5", "9:16", "16:9"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class ModelTriviewRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.IMAGE).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="tri-routing", password="x")
+        self.team = Team.objects.create(name="Tri Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        self.portrait = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="模特形象",
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.UPLOAD,
+            category=Asset.Category.MODEL_PORTRAIT,
+            in_library=False,
+        )
+        AssetFile.objects.create(
+            asset=self.portrait,
+            object_key="portrait.png",
+            bucket="bucket",
+            content_type="image/png",
+            preview_url="http://example.test/portrait.png",
+            is_primary=True,
+        )
+        self.model_entity = Model.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="路由模特",
+            portrait_asset=self.portrait,
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_image_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.tasks.generate_model_triview_task.delay").start()
+        patch(
+            "apps.ai.services.VolcanoArkProvider.media_to_bytes",
+            return_value=(BytesIO(b"image"), "image/png"),
+        ).start()
+        storage = patch("apps.ai.services.TosStorage").start()
+        stored = storage.return_value.upload_fileobj.return_value
+        stored.object_key = "tri.png"
+        stored.bucket = "bucket"
+        stored.content_type = "image/png"
+        stored.size_bytes = 5
+        patch("apps.assets.review.submit_asset_for_review").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.IMAGE,
+            endpoint="images/generations",
+            unit_price=Decimal("20"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost),
+        )
+
+    @staticmethod
+    def _new_provider_mock():
+        provider = Mock()
+        provider.image_edit.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    @staticmethod
+    def _new_generation_only_provider_mock():
+        provider = Mock(spec=["image_generation", "extract_first_media_url"])
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    def submit(self):
+        task, created = generate_model_triview(model=self.model_entity, user=self.user)
+        self.assertTrue(created)
+        return task
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_first_success_records_single_reference_16_9_and_updates_model(self):
+        primary = self.model(self.provider("tri-primary", 20), "tri-primary-model")
+        task = self.submit()
+
+        run_model_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.model_entity.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 1)
+        self.assertEqual(attempt.request_summary["aspect_ratio"], "16:9")
+        self.assertTrue(attempt.request_summary["model_triview"])
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(call.kwargs["images"], ["http://example.test/portrait.png"])
+        self.assertEqual(call.kwargs["size"], "1536x864")
+        self.assertIsNotNone(self.model_entity.triview_asset_id)
+        self.assertEqual(self.model_entity.triview_asset.origin_task_id, task.id)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_retry_then_dynamic_candidate_success_charges_once(self):
+        primary = self.model(self.provider("tri-fallback-primary", 100), "tri-primary", base_cost="0.25")
+        candidate = self.model(
+            self.provider("volcano", 10), "tri-candidate", outbound=False, base_cost="0.75"
+        )
+        task = self.submit()
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        run_model_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([a.model_config_id for a in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(a.request_summary["aspect_ratio"] == "16:9" for a in attempts))
+        self.assertTrue(all(a.public_model_name == "AirShelf Image" for a in attempts))
+        self.assertEqual(task.base_cost, Decimal("0.7500"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_candidates_fail_releases_and_keeps_existing_triview(self):
+        primary = self.model(self.provider("tri-all-primary", 100), "tri-primary")
+        candidate = self.model(self.provider("volcano", 10), "tri-candidate", outbound=False)
+        old = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="旧三视图",
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.TRI_VIEW,
+            in_library=False,
+        )
+        self.model_entity.triview_asset = old
+        self.model_entity.save(update_fields=["triview_asset"])
+        task = self.submit()
+        for model in (primary, candidate):
+            self.provider_mocks[model.id] = self._new_provider_mock()
+            self.provider_mocks[model.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        run_model_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.model_entity.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 3)
+        self.assertEqual(self.model_entity.triview_asset_id, old.id)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_direct_primary_uses_image_generation_without_outbound_fallback(self):
+        primary = self.model(
+            self.provider("volcano", 10), "seedream-triview", outbound=False
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        task = self.submit()
+
+        run_model_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["image"], ["http://example.test/portrait.png"])
+        self.assertEqual(call.kwargs["size"], "1536x864")
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)

core/backend/apps/ai/test_project_triview_routing.py

@@ -0,0 +1,234 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import generate_person_triview, run_triview_task
+from apps.assets.models import Asset, AssetFile, Model
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import BaseAssetGroup, Project
+
+
+def _metadata(*, outbound=True, base_cost="0.50"):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["image_generate", "image_edit"],
+            "features": [],
+            "reference_modes": ["none", "single", "multiple"],
+            "max_reference_images": 9,
+            "aspect_ratios": ["1:1", "3:4", "4:5", "9:16", "16:9"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class ProjectPersonTriviewRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.IMAGE).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="project-tri-routing", password="x")
+        self.team = Team.objects.create(name="Project Tri Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="项目角色三视图",
+        )
+        self.portrait = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="角色立绘",
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.PERSON,
+        )
+        AssetFile.objects.create(
+            asset=self.portrait,
+            object_key="portrait.png",
+            bucket="bucket",
+            content_type="image/png",
+            preview_url="http://example.test/portrait.png",
+            is_primary=True,
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_image_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.tasks.generate_triview_task.delay").start()
+        patch("apps.ai.services._store_generated_media", side_effect=self._store_media).start()
+        patch("apps.assets.review.submit_asset_for_review").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.IMAGE,
+            endpoint="images/generations",
+            unit_price=Decimal("20"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost),
+        )
+
+    @staticmethod
+    def _new_provider_mock():
+        provider = Mock()
+        provider.image_edit.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    @staticmethod
+    def _new_generation_only_provider_mock():
+        provider = Mock(spec=["image_generation", "extract_first_media_url"])
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/tri.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    def _store_media(self, **kwargs):
+        return Asset.objects.create(
+            team=kwargs["team"],
+            created_by=kwargs["user"],
+            name=kwargs["name"],
+            asset_type=kwargs["asset_type"],
+            source=Asset.Source.AI_GENERATED,
+            category=kwargs["category"],
+            origin_task=kwargs["task"],
+        )
+
+    def submit(self):
+        return generate_person_triview(
+            project=self.project,
+            user=self.user,
+            portrait_asset=self.portrait,
+        )
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_first_success_records_single_reference_16_9_and_keeps_project_scope(self):
+        primary = self.model(self.provider("project-tri-primary", 20), "project-tri-primary")
+        task = self.submit()
+
+        run_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 1)
+        self.assertEqual(attempt.request_summary["aspect_ratio"], "16:9")
+        self.assertTrue(attempt.request_summary["project_person_triview"])
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(call.kwargs["images"], ["http://example.test/portrait.png"])
+        self.assertEqual(call.kwargs["size"], "1536x864")
+        group = self.project.base_asset_groups.get(metadata__triview_of=str(self.portrait.id))
+        self.assertEqual(group.adopted_asset.origin_task_id, task.id)
+        self.assertFalse(Model.objects.filter(portrait_asset=self.portrait).exists())
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_retry_then_dynamic_candidate_success_charges_once(self):
+        primary = self.model(
+            self.provider("project-tri-fallback-primary", 100),
+            "project-tri-primary",
+            base_cost="0.25",
+        )
+        candidate = self.model(
+            self.provider("volcano", 10),
+            "project-tri-candidate",
+            outbound=False,
+            base_cost="0.75",
+        )
+        task = self.submit()
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        run_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([a.model_config_id for a in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(a.request_summary["aspect_ratio"] == "16:9" for a in attempts))
+        self.assertEqual(task.base_cost, Decimal("0.7500"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_candidates_fail_releases_and_keeps_existing_group(self):
+        primary = self.model(self.provider("project-tri-all-primary", 100), "project-tri-primary")
+        candidate = self.model(
+            self.provider("volcano", 10), "project-tri-candidate", outbound=False
+        )
+        old = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="旧三视图",
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.TRI_VIEW,
+        )
+        group = BaseAssetGroup.objects.create(
+            project=self.project,
+            kind=BaseAssetGroup.Kind.PERSON,
+            prompt="旧提示词",
+            adopted_asset=old,
+            metadata={"label": "·三视图", "triview_of": str(self.portrait.id)},
+        )
+        group.candidate_assets.add(old)
+        task = self.submit()
+        for model in (primary, candidate):
+            self.provider_mocks[model.id] = self._new_provider_mock()
+            self.provider_mocks[model.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        run_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        group.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 3)
+        self.assertEqual(group.adopted_asset_id, old.id)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_direct_primary_uses_image_generation_with_reference(self):
+        primary = self.model(
+            self.provider("volcano", 10), "seedream-project-triview", outbound=False
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        task = self.submit()
+
+        run_triview_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["image"], ["http://example.test/portrait.png"])
+        self.assertEqual(call.kwargs["size"], "1536x864")
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)

core/backend/apps/ai/test_routing_executor.py

@@ -0,0 +1,366 @@
+from decimal import Decimal
+from unittest.mock import Mock
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.model_routing import ModelRequirements
+from apps.ai.models import AIModelAttempt, AITask, ModelConfig, ModelProvider
+from apps.ai.routing_executor import AttemptMetadata, execute_model_call, sanitize_attempt_summary
+from apps.billing.models import CreditAccount, CreditLedger, CreditReservation
+from apps.billing.services.ledger import charge_reserved_credit, release_credit, reserve_credit
+
+
+def text_metadata(*, outbound=True, candidate=True):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": candidate},
+        "capabilities": {
+            "operations": ["chat"],
+            "features": ["streaming", "structured_output"],
+        },
+    }
+
+
+class RoutingExecutorTests(TestCase):
+    requirements = ModelRequirements(capability="text", operation="chat")
+
+    def setUp(self):
+        # 迁移种子不会参与本组动态候选，保证断言只覆盖用例声明的模型。
+        ModelConfig.objects.all().update(status=ModelConfig.Status.DISABLED)
+        self.user = User.objects.create_user(username="routing-user", password="x")
+        self.team = Team.objects.create(name="Routing Team", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, candidate=True):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            metadata=text_metadata(outbound=outbound, candidate=candidate),
+        )
+
+    def task(self, model, key):
+        return AITask.objects.create(
+            team=self.team,
+            created_by=self.user,
+            model_config=model,
+            task_type=AITask.Type.SCRIPT_GENERATION,
+            status=AITask.Status.RESERVED,
+            idempotency_key=key,
+            estimated_cost=Decimal("10"),
+            actual_cost=Decimal("10"),
+        )
+
+    def execute(self, *, task, primary, invoke, **kwargs):
+        return execute_model_call(
+            task=task,
+            primary_model=primary,
+            requirements=self.requirements,
+            public_model_name="AirShelf Script",
+            invoke=invoke,
+            sleep=lambda seconds: None,
+            uniform=lambda start, end: 0,
+            **kwargs,
+        )
+
+    def test_first_success_logs_once_and_never_queries_candidates(self):
+        primary = self.model(self.provider("exec-first", 100), "primary")
+        task = self.task(primary, "exec-first")
+        resolver = Mock(return_value=[])
+
+        result = self.execute(
+            task=task,
+            primary=primary,
+            invoke=lambda model, timeout: {"ok": True},
+            candidate_resolver=resolver,
+        )
+
+        self.assertEqual(result.actual_model, primary)
+        self.assertFalse(result.fallback_used)
+        self.assertEqual(result.call_count, 1)
+        resolver.assert_not_called()
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.status, AIModelAttempt.Status.SUCCEEDED)
+        self.assertFalse(attempt.is_retry)
+        self.assertFalse(attempt.is_fallback)
+
+    def test_transient_failure_retries_primary_then_succeeds(self):
+        primary = self.model(self.provider("exec-retry", 100), "primary")
+        task = self.task(primary, "exec-retry")
+        resolver = Mock(return_value=[])
+        calls = []
+
+        def invoke(model, timeout):
+            calls.append((model.id, timeout))
+            if len(calls) == 1:
+                raise requests.ConnectionError("temporary network failure")
+            return {"ok": True}
+
+        result = self.execute(
+            task=task,
+            primary=primary,
+            invoke=invoke,
+            candidate_resolver=resolver,
+        )
+
+        self.assertEqual(result.call_count, 2)
+        resolver.assert_not_called()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual([item.status for item in attempts], ["failed", "succeeded"])
+        self.assertEqual([item.is_retry for item in attempts], [False, True])
+        self.assertEqual(attempts[1].previous_attempt_id, attempts[0].id)
+
+    def test_non_retryable_provider_failure_switches_and_preserves_primary(self):
+        primary = self.model(self.provider("exec-fallback-primary", 100), "primary")
+        candidate = self.model(self.provider("exec-fallback-candidate", 10), "candidate")
+        task = self.task(primary, "exec-fallback")
+        resolver = Mock(return_value=[candidate])
+
+        def invoke(model, timeout):
+            if model.id == primary.id:
+                raise RuntimeError("API_KEY is not configured")
+            return {"ok": True}
+
+        result = self.execute(
+            task=task,
+            primary=primary,
+            invoke=invoke,
+            candidate_resolver=resolver,
+        )
+
+        self.assertEqual(result.actual_model, candidate)
+        self.assertTrue(result.fallback_used)
+        task.refresh_from_db()
+        self.assertEqual(task.model_config_id, primary.id)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual([item.model_name for item in attempts], ["primary", "candidate"])
+        self.assertEqual([item.public_model_name for item in attempts], ["AirShelf Script", "AirShelf Script"])
+        self.assertTrue(attempts[1].is_fallback)
+        excluded = resolver.call_args.kwargs["excluded_provider_ids"]
+        self.assertIn(primary.provider_id, excluded)
+
+    def test_all_models_fail_without_cycles_and_stops_at_global_call_limit(self):
+        primary = self.model(self.provider("exec-all-primary", 500), "primary")
+        self.model(self.provider("exec-all-first", 10), "candidate-1")
+        self.model(self.provider("exec-all-second", 20), "candidate-2")
+        task = self.task(primary, "exec-all")
+
+        with self.assertRaises(requests.ConnectionError):
+            self.execute(
+                task=task,
+                primary=primary,
+                invoke=lambda model, timeout: (_ for _ in ()).throw(requests.ConnectionError("offline")),
+            )
+
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(len(attempts), 5)
+        self.assertEqual([item.model_name for item in attempts], ["primary", "primary", "primary", "candidate-1", "candidate-2"])
+        self.assertEqual(len({item.sequence for item in attempts}), 5)
+        self.assertTrue(all(item.status == AIModelAttempt.Status.FAILED for item in attempts))
+
+    def test_content_rejection_neither_retries_nor_fallbacks(self):
+        primary = self.model(self.provider("exec-safety", 100), "primary")
+        task = self.task(primary, "exec-safety")
+        resolver = Mock(return_value=[])
+
+        with self.assertRaises(RuntimeError):
+            self.execute(
+                task=task,
+                primary=primary,
+                invoke=lambda model, timeout: (_ for _ in ()).throw(RuntimeError("moderation_blocked")),
+                candidate_resolver=resolver,
+            )
+
+        resolver.assert_not_called()
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.error_type, "content_rejected")
+
+    def test_retry_after_above_cap_skips_wait_and_switches_immediately(self):
+        primary = self.model(self.provider("exec-rate-primary", 100), "primary")
+        candidate = self.model(self.provider("exec-rate-candidate", 10), "candidate")
+        task = self.task(primary, "exec-rate")
+        sleeps = []
+
+        def invoke(model, timeout):
+            if model.id == primary.id:
+                response = requests.Response()
+                response.status_code = 429
+                response.headers["Retry-After"] = "60"
+                exc = requests.HTTPError("rate limited", response=response)
+                raise exc
+            return {"ok": True}
+
+        result = execute_model_call(
+            task=task,
+            primary_model=primary,
+            requirements=self.requirements,
+            public_model_name="AirShelf Script",
+            invoke=invoke,
+            candidate_resolver=Mock(return_value=[candidate]),
+            sleep=sleeps.append,
+            uniform=lambda start, end: 0,
+        )
+
+        self.assertEqual(result.call_count, 2)
+        self.assertEqual(sleeps, [])
+
+    def test_video_provider_task_id_on_error_never_retries_or_fallbacks(self):
+        provider = self.provider("exec-video", 100)
+        model = ModelConfig.objects.create(
+            provider=provider,
+            name="video-model",
+            display_name="video-model",
+            capability=ModelConfig.Capability.VIDEO,
+            endpoint="contents/generations/tasks",
+            metadata={
+                "routing": {"fallback_on_failure": True, "fallback_candidate": True},
+                "capabilities": {
+                    "operations": ["video_generate"],
+                    "features": ["text_to_video"],
+                    "resolutions": ["720p"],
+                    "durations": [5],
+                },
+                "pricing": {"default": {"no_ref_video": 1}},
+            },
+        )
+        task = self.task(model, "exec-video-known-id")
+        resolver = Mock(return_value=[])
+
+        with self.assertRaises(requests.Timeout):
+            execute_model_call(
+                task=task,
+                primary_model=model,
+                requirements=ModelRequirements(
+                    capability="video",
+                    operation="video_generate",
+                    resolution="720p",
+                    duration=5,
+                ),
+                public_model_name="Seedance",
+                invoke=lambda current, timeout: (_ for _ in ()).throw(requests.Timeout("poll state unknown")),
+                error_metadata=lambda exc, current: AttemptMetadata(provider_task_id="provider-task-123"),
+                candidate_resolver=resolver,
+                sleep=lambda seconds: None,
+            )
+
+        resolver.assert_not_called()
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(task.model_attempts.get().provider_task_id, "provider-task-123")
+
+    def test_metadata_extraction_failure_does_not_repeat_successful_model_call(self):
+        primary = self.model(self.provider("exec-meta", 100), "primary")
+        task = self.task(primary, "exec-meta")
+        invoke = Mock(return_value={"ok": True})
+
+        result = self.execute(
+            task=task,
+            primary=primary,
+            invoke=invoke,
+            result_metadata=lambda value, model: (_ for _ in ()).throw(RuntimeError("summary failed")),
+        )
+
+        self.assertEqual(result.call_count, 1)
+        invoke.assert_called_once()
+        self.assertIn("metadata_error", task.model_attempts.get().response_summary)
+
+    def test_attempt_costs_are_audited_and_summed_without_touching_parent_updated_at(self):
+        primary = self.model(self.provider("exec-cost-primary", 100), "primary")
+        candidate = self.model(self.provider("exec-cost-candidate", 10), "candidate")
+        task = self.task(primary, "exec-cost")
+        original_updated_at = task.updated_at
+
+        def invoke(model, timeout):
+            if model.id == primary.id:
+                exc = RuntimeError("API_KEY is not configured")
+                exc.attempt_metadata = {"platform_cost": "0.125", "usage": {"prompt_tokens": 10}}
+                raise exc
+            return {"ok": True}
+
+        self.execute(
+            task=task,
+            primary=primary,
+            invoke=invoke,
+            candidate_resolver=Mock(return_value=[candidate]),
+            result_metadata=lambda result, model: AttemptMetadata(
+                platform_cost=Decimal("0.375"), usage={"output_tokens": 20}
+            ),
+        )
+
+        task.refresh_from_db()
+        self.assertEqual(task.base_cost, Decimal("0.5000"))
+        self.assertEqual(task.updated_at, original_updated_at)
+        self.assertEqual(
+            list(task.model_attempts.values_list("platform_cost", flat=True)),
+            [Decimal("0.1250"), Decimal("0.3750")],
+        )
+
+    def test_feedback_summary_redacts_credentials_and_large_binary(self):
+        summary = sanitize_attempt_summary(
+            {
+                "api_key": "secret-value",
+                "authorization": "Bearer secret",
+                "prompt": "hello",
+                "image": b"123456",
+            }
+        )
+
+        self.assertEqual(summary["api_key"], "[REDACTED]")
+        self.assertEqual(summary["authorization"], "[REDACTED]")
+        self.assertEqual(summary["image"], "[二进制 6 字节]")
+
+    def test_fallback_success_keeps_single_reserve_and_single_charge(self):
+        primary = self.model(self.provider("exec-bill-primary", 100), "primary")
+        candidate = self.model(self.provider("exec-bill-candidate", 10), "candidate")
+        task = self.task(primary, "exec-bill-success")
+        reservation = reserve_credit(team=self.team, user=self.user, task=task, amount=Decimal("10"))
+
+        def invoke(model, timeout):
+            if model.id == primary.id:
+                raise RuntimeError("API_KEY is not configured")
+            return {"ok": True}
+
+        self.execute(
+            task=task,
+            primary=primary,
+            invoke=invoke,
+            candidate_resolver=Mock(return_value=[candidate]),
+        )
+        charge_reserved_credit(reservation=reservation, actual_amount=Decimal("10"))
+
+        self.assertEqual(CreditReservation.objects.filter(task=task).count(), 1)
+        self.assertEqual(CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.RESERVE).count(), 1)
+        self.assertEqual(CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.CHARGE).count(), 1)
+        self.assertEqual(task.model_attempts.count(), 2)
+
+    def test_all_failures_keep_single_reserve_and_single_release(self):
+        primary = self.model(self.provider("exec-release-primary", 500), "primary")
+        self.model(self.provider("exec-release-first", 10), "candidate-1")
+        self.model(self.provider("exec-release-second", 20), "candidate-2")
+        task = self.task(primary, "exec-bill-failure")
+        reservation = reserve_credit(team=self.team, user=self.user, task=task, amount=Decimal("10"))
+
+        with self.assertRaises(requests.ConnectionError):
+            self.execute(
+                task=task,
+                primary=primary,
+                invoke=lambda model, timeout: (_ for _ in ()).throw(requests.ConnectionError("offline")),
+            )
+        release_credit(reservation=reservation, reason="all providers failed")
+
+        self.assertEqual(CreditReservation.objects.filter(task=task).count(), 1)
+        self.assertEqual(CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.RESERVE).count(), 1)
+        self.assertEqual(CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.CHARGE).count(), 0)
+        self.assertEqual(CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.RELEASE).count(), 1)
+        account = CreditAccount.objects.get(team=self.team)
+        self.assertEqual(account.reserved_balance, Decimal("0"))

core/backend/apps/ai/test_routing_policy.py

@@ -0,0 +1,157 @@
+from copy import deepcopy
+from dataclasses import FrozenInstanceError
+import os
+from unittest.mock import patch
+
+from django.apps import apps
+from django.conf import settings
+from django.core.exceptions import ImproperlyConfigured
+from django.test import SimpleTestCase, override_settings
+
+from apps.ai.routing_policy import RoutingPolicyConfigurationError, load_model_routing_policy
+from airshelf.settings.base import env_float, env_int, env_int_list
+
+
+class ModelRoutingPolicyTests(SimpleTestCase):
+    def policy_dict(self) -> dict:
+        return deepcopy(settings.MODEL_ROUTING_POLICY)
+
+    def test_default_policy_matches_confirmed_values_and_is_immutable(self):
+        policy = load_model_routing_policy()
+
+        self.assertEqual(policy.max_models, 3)
+        self.assertEqual(policy.max_calls, 5)
+        self.assertEqual(policy.jitter_ratio, 0.20)
+        self.assertEqual(policy.text.retry_delays, (1.0, 3.0))
+        self.assertEqual(policy.text.request_timeout, 120.0)
+        self.assertEqual(policy.text.stream_timeout, 300.0)
+        self.assertEqual(policy.text.total_timeout, 480.0)
+        self.assertEqual(policy.image.retry_delays, (3.0,))
+        self.assertEqual(policy.image.request_timeout, 300.0)
+        self.assertEqual(policy.image.total_timeout, 900.0)
+        self.assertEqual(policy.audio.retry_delays, (2.0,))
+        self.assertEqual(policy.audio.total_timeout, 180.0)
+        self.assertEqual(policy.video.submit_retry_delays, (3.0,))
+        self.assertEqual(policy.video.submit_timeout, 120.0)
+        self.assertEqual(policy.video.submit_total_timeout, 300.0)
+        self.assertEqual(policy.video.poll_request_timeout, 60.0)
+        self.assertEqual(policy.video.generation_timeout, 1800.0)
+        self.assertEqual(policy.postprocess.retry_delays, (2.0, 5.0, 10.0))
+
+        with self.assertRaises(FrozenInstanceError):
+            policy.max_calls = 6
+
+    def test_settings_can_inject_short_timeouts_without_production_branch(self):
+        raw = self.policy_dict()
+        raw["text"].update(
+            retry_delays=[0],
+            request_timeout=1,
+            stream_timeout=1,
+            total_timeout=2,
+            retry_after_cap=0,
+        )
+        raw["image"].update(retry_delays=[], request_timeout=1, total_timeout=1, retry_after_cap=0)
+        raw["audio"].update(retry_delays=[], request_timeout=1, total_timeout=1, retry_after_cap=0)
+        raw["video"].update(
+            submit_retry_delays=[],
+            submit_timeout=1,
+            submit_total_timeout=1,
+            poll_request_timeout=1,
+            generation_timeout=1,
+            retry_after_cap=0,
+        )
+        raw["postprocess"]["retry_delays"] = []
+
+        with override_settings(MODEL_ROUTING_POLICY=raw):
+            policy = load_model_routing_policy()
+
+        self.assertEqual(policy.text.retry_delays, (0.0,))
+        self.assertEqual(policy.text.total_timeout, 2.0)
+        self.assertEqual(policy.image.retry_delays, ())
+        self.assertEqual(policy.video.generation_timeout, 1.0)
+        self.assertEqual(policy.postprocess.retry_delays, ())
+
+    def test_rejects_max_calls_smaller_than_model_count_with_chinese_message(self):
+        raw = self.policy_dict()
+        raw["max_models"] = 3
+        raw["max_calls"] = 2
+
+        with self.assertRaisesRegex(
+            RoutingPolicyConfigurationError,
+            "最多真实模型调用次数.*不得小于 max_models.*最多尝试模型数量",
+        ):
+            load_model_routing_policy(raw)
+
+    def test_rejects_single_timeout_greater_than_total_timeout(self):
+        raw = self.policy_dict()
+        raw["image"]["request_timeout"] = 901
+        raw["image"]["total_timeout"] = 900
+
+        with self.assertRaisesRegex(
+            RoutingPolicyConfigurationError,
+            "图片|request_timeout.*单次调用超时.*不得大于.*total_timeout",
+        ):
+            load_model_routing_policy(raw)
+
+    def test_rejects_non_numeric_retry_delay_and_reports_value(self):
+        raw = self.policy_dict()
+        raw["audio"]["retry_delays"] = ["两秒"]
+
+        with self.assertRaisesRegex(
+            RoutingPolicyConfigurationError,
+            r"audio\.retry_delays\[0\].*必须是数字.*两秒",
+        ):
+            load_model_routing_policy(raw)
+
+    def test_rejects_missing_required_section(self):
+        raw = self.policy_dict()
+        del raw["postprocess"]
+
+        with self.assertRaisesRegex(
+            RoutingPolicyConfigurationError,
+            "MODEL_ROUTING_POLICY.postprocess.*必填配置",
+        ):
+            load_model_routing_policy(raw)
+
+    def test_rejects_video_poll_timeout_longer_than_generation_window(self):
+        raw = self.policy_dict()
+        raw["video"]["poll_request_timeout"] = 61
+        raw["video"]["generation_timeout"] = 60
+
+        with self.assertRaisesRegex(
+            RoutingPolicyConfigurationError,
+            "视频单次轮询超时.*不得大于.*generation_timeout",
+        ):
+            load_model_routing_policy(raw)
+
+    def test_app_startup_fails_fast_for_invalid_policy(self):
+        raw = self.policy_dict()
+        raw["jitter_ratio"] = 1.5
+
+        with override_settings(MODEL_ROUTING_POLICY=raw):
+            with self.assertRaisesRegex(ImproperlyConfigured, "模型路由策略配置错误.*重试随机抖动比例"):
+                apps.get_app_config("ai").ready()
+
+
+class RoutingPolicyEnvironmentParserTests(SimpleTestCase):
+    def test_integer_float_and_list_environment_overrides(self):
+        with patch.dict(
+            os.environ,
+            {
+                "TEST_ROUTING_INT": "7",
+                "TEST_ROUTING_FLOAT": "0.25",
+                "TEST_ROUTING_LIST": "1, 3,5",
+            },
+        ):
+            self.assertEqual(env_int("TEST_ROUTING_INT", 1), 7)
+            self.assertEqual(env_float("TEST_ROUTING_FLOAT", 0.1), 0.25)
+            self.assertEqual(env_int_list("TEST_ROUTING_LIST", (9,)), [1, 3, 5])
+
+    def test_empty_retry_delay_environment_means_no_retry(self):
+        with patch.dict(os.environ, {"TEST_ROUTING_LIST": ""}):
+            self.assertEqual(env_int_list("TEST_ROUTING_LIST", (1, 3)), [])
+
+    def test_invalid_environment_value_has_chinese_error(self):
+        with patch.dict(os.environ, {"TEST_ROUTING_INT": "三"}):
+            with self.assertRaisesRegex(ValueError, "环境变量 TEST_ROUTING_INT 必须是整数.*三"):
+                env_int("TEST_ROUTING_INT", 1)

core/backend/apps/ai/test_script_entity_sync.py

@@ -0,0 +1,179 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.script_agent import persist_script_draft
+from apps.ai.services import extract_cast_and_scenes
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project
+
+
+class ScriptEntitySyncTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.TEXT).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="script-entity-sync", password="x")
+        self.team = Team.objects.create(name="Script Entity Sync", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        self.product = Product.objects.create(
+            team=self.team,
+            created_by=self.user,
+            title="测试商品",
+        )
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=self.product,
+            name="脚本实体同步项目",
+        )
+        provider = ModelProvider.objects.create(
+            name="script-sync-provider",
+            display_name="Script Sync Provider",
+            status=ModelProvider.Status.ACTIVE,
+        )
+        self.model = ModelConfig.objects.create(
+            provider=provider,
+            name="script-sync-model",
+            display_name="Script Sync Model",
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            unit_price=Decimal("10"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata={
+                "routing": {"fallback_on_failure": True, "fallback_candidate": True},
+                "capabilities": {
+                    "operations": ["chat"],
+                    "features": ["structured_output"],
+                },
+                "pricing": {"base_cost_yuan": "0.50"},
+            },
+        )
+
+    def main_task(self):
+        return AITask.objects.create(
+            team=self.team,
+            created_by=self.user,
+            project=self.project,
+            task_type=AITask.Type.SCRIPT_GENERATION,
+            status=AITask.Status.SUBMITTED,
+            model_config=self.model,
+            idempotency_key=f"script-entity-sync:{self.project.id}",
+        )
+
+    @staticmethod
+    def draft():
+        return {
+            "hook": "开场钩子",
+            "tone": "自然",
+            "aspect_ratio": "9:16",
+            "total_duration": 15,
+            "segment_count": 1,
+            "entities": [
+                {
+                    "id": "c1",
+                    "type": "character",
+                    "name": "女主",
+                    "visual_prompt": "都市女主",
+                    "ref_index": 1,
+                },
+                {
+                    "id": "s1",
+                    "type": "scene",
+                    "name": "客厅",
+                    "visual_prompt": "现代客厅",
+                    "ref_index": 2,
+                },
+            ],
+            "segments": [
+                {
+                    "index": 0,
+                    "duration": 15,
+                    "narration": "女主在客厅展示商品",
+                    "visual": "女主站在客厅",
+                    "role": "钩子",
+                    "speaker": "女主",
+                    "product_exposure": "展示",
+                    "entity_refs": ["c1", "s1"],
+                    "dialogue": [],
+                }
+            ],
+        }
+
+    def test_script_draft_syncs_entities_without_creating_second_ai_task(self):
+        task = self.main_task()
+        before_count = AITask.objects.count()
+
+        script = persist_script_draft(
+            project=self.project,
+            user=self.user,
+            task=task,
+            draft=self.draft(),
+            source="ai",
+        )
+
+        self.project.refresh_from_db()
+        task.refresh_from_db()
+        self.assertEqual(AITask.objects.count(), before_count)
+        self.assertEqual(task.status, AITask.Status.SUBMITTED)
+        self.assertEqual(script.task_id, task.id)
+        self.assertEqual(self.project.metadata["cast"], ["女主"])
+        self.assertEqual(self.project.metadata["scenes"], ["客厅"])
+        self.assertEqual(
+            [entity["id"] for entity in self.project.metadata["script_entities"]],
+            ["c1", "s1"],
+        )
+        self.assertEqual(CreditLedger.objects.filter(task=task).count(), 0)
+
+    @patch("apps.ai.services.get_text_provider")
+    def test_legacy_post_script_extractor_uses_routed_attempt_and_one_settlement(self, get_provider):
+        provider = Mock()
+        response = {
+            "choices": [
+                {
+                    "message": {
+                        "content": (
+                            '{"cast":[{"name":"女主","prompt":"都市女主"}],'
+                            '"scenes":[{"name":"客厅","prompt":"现代客厅"}]}'
+                        )
+                    }
+                }
+            ],
+            "usage": {"total_tokens": 42},
+        }
+        provider.chat_completion.return_value = response
+        provider.extract_text.return_value = response["choices"][0]["message"]["content"]
+        get_provider.return_value = provider
+
+        result = extract_cast_and_scenes(
+            project=self.project,
+            user=self.user,
+            content="女主在客厅展示商品",
+        )
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_OPTIMIZATION)
+        self.assertEqual(result["cast"], ["女主"])
+        self.assertEqual(result["scenes"], ["客厅"])
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.operation, "chat")
+        self.assertEqual(attempt.public_model_name, "AirShelf Script")
+        self.assertEqual(attempt.request_summary["source"], "legacy_post_script_extract")
+        self.assertEqual(
+            CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.RESERVE).count(),
+            1,
+        )
+        self.assertEqual(
+            CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.CHARGE).count(),
+            1,
+        )
+        self.assertEqual(
+            CreditLedger.objects.filter(task=task, ledger_type=CreditLedger.Type.RELEASE).count(),
+            0,
+        )

core/backend/apps/ai/test_script_optimization_routing.py

@@ -0,0 +1,226 @@
+import json
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.script_agent import regenerate_segment_via_agent
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project, ScriptSegment, ScriptVersion
+
+
+def _metadata(*, outbound=True, base_cost="0.50"):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["chat"],
+            "features": ["structured_output"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class ScriptOptimizationRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.TEXT).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="script-opt-routing", password="x")
+        self.team = Team.objects.create(name="Script Opt Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="单镜优化路由项目",
+        )
+        self.base_draft = {
+            "hook": "钩子",
+            "tone": "自然",
+            "aspect_ratio": "9:16",
+            "total_duration": 30,
+            "segment_count": 2,
+            "entities": [],
+            "segments": [
+                {
+                    "index": 0,
+                    "duration": 15,
+                    "role": "钩子",
+                    "narration": "旧口播0",
+                    "visual": "旧画面0",
+                    "speaker": None,
+                    "product_exposure": "",
+                    "entity_refs": [],
+                    "dialogue": [],
+                },
+                {
+                    "index": 1,
+                    "duration": 15,
+                    "role": "CTA",
+                    "narration": "旧口播1",
+                    "visual": "旧画面1",
+                    "speaker": None,
+                    "product_exposure": "",
+                    "entity_refs": [],
+                    "dialogue": [],
+                },
+            ],
+        }
+        self.script = ScriptVersion.objects.create(
+            project=self.project,
+            title="基准稿",
+            content=json.dumps(self.base_draft, ensure_ascii=False),
+            is_adopted=True,
+            metadata={
+                "hook": "钩子",
+                "tone": "自然",
+                "aspect_ratio": "9:16",
+                "total_duration": 30,
+                "entities": [],
+            },
+        )
+        ScriptSegment.objects.create(
+            script_version=self.script,
+            sort_order=0,
+            duration_seconds=15,
+            role="钩子",
+            narration="旧口播0",
+            visual_prompt="旧画面0",
+        )
+        self.target = ScriptSegment.objects.create(
+            script_version=self.script,
+            sort_order=1,
+            duration_seconds=15,
+            role="CTA",
+            narration="旧口播1",
+            visual_prompt="旧画面1",
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_text_provider", side_effect=self._provider_for).start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            unit_price=Decimal("10"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost),
+        )
+
+    def valid_text(self):
+        draft = json.loads(json.dumps(self.base_draft))
+        draft["segments"][1]["narration"] = "优化后的口播"
+        draft["segments"][1]["visual"] = "优化后的画面"
+        return json.dumps(draft, ensure_ascii=False)
+
+    def good_provider(self):
+        provider = Mock()
+        provider.chat_completion.return_value = {"usage": {"total_tokens": 42}}
+        provider.extract_text.return_value = self.valid_text()
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self.good_provider())
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def optimize(self, primary):
+        return regenerate_segment_via_agent(
+            project=self.project,
+            user=self.user,
+            model_config=primary,
+            segment=self.target,
+            instruction="让第二镜更有吸引力",
+        )
+
+    def test_first_success_records_attempt_and_preserves_other_segment(self):
+        primary = self.model(self.provider("script-opt-primary", 20), "script-opt-primary")
+
+        version = self.optimize(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_OPTIMIZATION)
+        segments = list(version.segments.order_by("sort_order"))
+        self.assertEqual(segments[0].narration, "旧口播0")
+        self.assertEqual(segments[1].narration, "优化后的口播")
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "chat")
+        self.assertEqual(attempt.request_summary["target_index"], 1)
+        self.assertEqual(attempt.public_model_name, "AirShelf Script")
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_primary_retries_then_dynamic_fallback_succeeds_once(self):
+        primary = self.model(
+            self.provider("script-opt-fallback-primary", 100),
+            "script-opt-primary",
+            base_cost="0.25",
+        )
+        candidate = self.model(
+            self.provider("script-opt-fallback-candidate", 10),
+            "script-opt-candidate",
+            outbound=False,
+            base_cost="0.75",
+        )
+        failed = self.good_provider()
+        failed.chat_completion.side_effect = requests.ConnectionError("offline")
+        self.provider_mocks[primary.id] = failed
+
+        version = self.optimize(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_OPTIMIZATION)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [primary.id, primary.id, primary.id, candidate.id],
+        )
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertEqual(version.segments.order_by("sort_order")[0].narration, "旧口播0")
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_fail_releases_once_and_does_not_create_new_version(self):
+        primary = self.model(self.provider("script-opt-all-primary", 100), "script-opt-primary")
+        fallback = self.model(
+            self.provider("script-opt-all-fallback", 10),
+            "script-opt-fallback",
+            outbound=False,
+        )
+        for model in (primary, fallback):
+            failed = self.good_provider()
+            failed.chat_completion.side_effect = requests.ConnectionError("offline")
+            self.provider_mocks[model.id] = failed
+        before_versions = ScriptVersion.objects.filter(project=self.project).count()
+
+        with self.assertRaises(Exception):
+            self.optimize(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_OPTIMIZATION)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(ScriptVersion.objects.filter(project=self.project).count(), before_versions)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))

core/backend/apps/ai/test_script_stream_routing.py

@@ -0,0 +1,349 @@
+import json
+import time
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TransactionTestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.script_agent import stream_script_agent
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project, ScriptSegment, ScriptVersion
+
+
+def _metadata(*, outbound=True, base_cost="0.50"):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["chat"],
+            "features": ["streaming", "structured_output"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class ScriptStreamRoutingTests(TransactionTestCase):
+    reset_sequences = True
+
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.TEXT).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="script-stream-routing", password="x")
+        self.team = Team.objects.create(name="Script Stream Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="流式脚本路由项目",
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_text_provider", side_effect=self._provider_for).start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.TEXT,
+            endpoint="chat/completions",
+            unit_price=Decimal("10"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost),
+        )
+
+    @staticmethod
+    def valid_draft():
+        return {
+            "hook": "开场钩子",
+            "tone": "自然",
+            "aspect_ratio": "9:16",
+            "total_duration": 15,
+            "segment_count": 1,
+            "entities": [
+                {
+                    "id": "c1",
+                    "type": "character",
+                    "name": "女主",
+                    "visual_prompt": "都市女主",
+                    "ref_index": 1,
+                }
+            ],
+            "segments": [
+                {
+                    "index": 0,
+                    "duration": 15,
+                    "role": "钩子",
+                    "narration": "全新脚本口播",
+                    "visual": "女主展示商品",
+                    "speaker": "女主",
+                    "product_exposure": "展示",
+                    "entity_refs": ["c1"],
+                    "dialogue": [],
+                }
+            ],
+        }
+
+    def good_provider(self):
+        provider = Mock()
+        raw = json.dumps(self.valid_draft(), ensure_ascii=False)
+        provider.chat_completion_stream.return_value = iter(
+            [
+                {"type": "reasoning", "text": "先分析商品卖点"},
+                {"type": "delta", "text": "我先给你一版。\n"},
+                {"type": "delta", "text": raw},
+                {"type": "done"},
+            ]
+        )
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self.good_provider())
+
+    @staticmethod
+    def parse_events(frames):
+        return [json.loads(frame.removeprefix("data: ").strip()) for frame in frames]
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def generate(self, primary):
+        return self.parse_events(
+            list(
+                stream_script_agent(
+                    project=self.project,
+                    user=self.user,
+                    model_config=primary,
+                    mode="auto",
+                    user_prompt="生成一版脚本",
+                    aspect_ratio="9:16",
+                    total_duration=15,
+                )
+            )
+        )
+
+    def test_first_success_keeps_reasoning_and_delta_sse_and_records_attempt(self):
+        primary = self.model(self.provider("script-stream-primary", 20), "script-stream-primary")
+
+        events = self.generate(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_GENERATION)
+        self.assertIn("reasoning", [event["type"] for event in events])
+        self.assertIn("delta", [event["type"] for event in events])
+        self.assertIn("draft", [event["type"] for event in events])
+        self.assertEqual(events[-1]["type"], "done")
+        self.assertEqual(ScriptVersion.objects.filter(project=self.project).count(), 1)
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertTrue(attempt.request_summary["streaming"])
+        self.assertTrue(attempt.request_summary["structured_output"])
+        self.assertEqual(attempt.request_summary["business_operation"], "script_generate")
+        self.assertEqual(attempt.public_model_name, "AirShelf Script")
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_primary_retries_then_fallback_succeeds_with_one_script_and_settlement(self):
+        primary = self.model(
+            self.provider("script-stream-fallback-primary", 100),
+            "script-stream-primary",
+            base_cost="0.25",
+        )
+        candidate = self.model(
+            self.provider("script-stream-fallback-candidate", 10),
+            "script-stream-candidate",
+            outbound=False,
+            base_cost="0.75",
+        )
+        failed = Mock()
+        failed.chat_completion_stream.side_effect = requests.ConnectionError("offline")
+        self.provider_mocks[primary.id] = failed
+
+        events = self.generate(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_GENERATION)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(events[-1]["type"], "done")
+        self.assertEqual(ScriptVersion.objects.filter(project=self.project).count(), 1)
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [primary.id, primary.id, primary.id, candidate.id],
+        )
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_fail_emits_safe_error_releases_once_and_saves_no_script(self):
+        primary = self.model(self.provider("script-stream-all-primary", 100), "script-stream-primary")
+        fallback = self.model(
+            self.provider("script-stream-all-fallback", 10),
+            "script-stream-fallback",
+            outbound=False,
+        )
+        for model in (primary, fallback):
+            failed = Mock()
+            failed.chat_completion_stream.side_effect = requests.ConnectionError("offline")
+            self.provider_mocks[model.id] = failed
+
+        events = self.generate(primary)
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_GENERATION)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(events[-1]["type"], "error")
+        self.assertNotIn("offline", events[-1]["detail"])
+        self.assertEqual(ScriptVersion.objects.filter(project=self.project).count(), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_client_disconnect_stops_stream_and_releases_without_saving_script(self):
+        primary = self.model(self.provider("script-stream-abort", 20), "script-stream-primary")
+        raw = json.dumps(self.valid_draft(), ensure_ascii=False)
+
+        def delayed_events():
+            yield {"type": "reasoning", "text": "正在分析"}
+            time.sleep(0.05)
+            yield {"type": "delta", "text": raw}
+            yield {"type": "done"}
+
+        provider = Mock()
+        provider.chat_completion_stream.return_value = delayed_events()
+        self.provider_mocks[primary.id] = provider
+        stream = stream_script_agent(
+            project=self.project,
+            user=self.user,
+            model_config=primary,
+            mode="auto",
+            user_prompt="生成一版脚本",
+            aspect_ratio="9:16",
+            total_duration=15,
+        )
+        for frame in stream:
+            event = json.loads(frame.removeprefix("data: ").strip())
+            if event["type"] == "reasoning":
+                stream.close()
+                break
+
+        deadline = time.monotonic() + 1
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_GENERATION)
+        while not task.model_attempts.filter(status="failed").exists() and time.monotonic() < deadline:
+            time.sleep(0.01)
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(ScriptVersion.objects.filter(project=self.project).count(), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_stream_revise_target_keeps_other_segment_and_uses_base_duration(self):
+        primary = self.model(self.provider("script-stream-revise", 20), "script-stream-primary")
+        base_draft = {
+            "hook": "原钩子",
+            "tone": "自然",
+            "aspect_ratio": "9:16",
+            "total_duration": 30,
+            "segment_count": 2,
+            "entities": [],
+            "segments": [
+                {
+                    "index": 0,
+                    "duration": 15,
+                    "role": "钩子",
+                    "narration": "旧口播0",
+                    "visual": "旧画面0",
+                    "speaker": None,
+                    "product_exposure": "",
+                    "entity_refs": [],
+                    "dialogue": [],
+                },
+                {
+                    "index": 1,
+                    "duration": 15,
+                    "role": "CTA",
+                    "narration": "旧口播1",
+                    "visual": "旧画面1",
+                    "speaker": None,
+                    "product_exposure": "",
+                    "entity_refs": [],
+                    "dialogue": [],
+                },
+            ],
+        }
+        base = ScriptVersion.objects.create(
+            project=self.project,
+            title="基准稿",
+            content=json.dumps(base_draft, ensure_ascii=False),
+            metadata={"hook": "原钩子", "entities": [], "total_duration": 30},
+        )
+        ScriptSegment.objects.create(
+            script_version=base,
+            sort_order=0,
+            duration_seconds=15,
+            narration="旧口播0",
+            visual_prompt="旧画面0",
+        )
+        ScriptSegment.objects.create(
+            script_version=base,
+            sort_order=1,
+            duration_seconds=15,
+            narration="旧口播1",
+            visual_prompt="旧画面1",
+        )
+        revised = json.loads(json.dumps(base_draft))
+        revised["segments"][1]["narration"] = "流式优化口播"
+        revised["segments"][1]["visual"] = "流式优化画面"
+        provider = Mock()
+        provider.chat_completion_stream.return_value = iter(
+            [
+                {"type": "delta", "text": json.dumps(revised, ensure_ascii=False)},
+                {"type": "done"},
+            ]
+        )
+        self.provider_mocks[primary.id] = provider
+
+        events = self.parse_events(
+            list(
+                stream_script_agent(
+                    project=self.project,
+                    user=self.user,
+                    model_config=primary,
+                    mode="revise",
+                    user_prompt="只改第二镜",
+                    base_version_id=str(base.id),
+                    aspect_ratio="9:16",
+                    total_duration=60,
+                    target_index=1,
+                )
+            )
+        )
+
+        task = AITask.objects.get(task_type=AITask.Type.SCRIPT_OPTIMIZATION)
+        saved = ScriptVersion.objects.filter(project=self.project).order_by("-created_at").first()
+        segments = list(saved.segments.order_by("sort_order"))
+        self.assertEqual(events[-1]["type"], "done")
+        self.assertEqual(len(segments), 2)
+        self.assertEqual(segments[0].narration, "旧口播0")
+        self.assertEqual(segments[1].narration, "流式优化口播")
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.request_summary["target_index"], 1)
+        self.assertEqual(attempt.request_summary["total_duration"], 30)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)

core/backend/apps/ai/test_standalone_image_routing.py

@@ -0,0 +1,696 @@
+from decimal import Decimal
+from io import BytesIO
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AIModelAttempt, AITask, ModelConfig, ModelProvider
+from apps.ai.services import enqueue_standalone_images, run_standalone_image_task
+from apps.assets.models import Asset, AssetFile
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+
+
+def image_metadata(
+    *,
+    outbound,
+    candidate=True,
+    ratios=None,
+    base_cost="0.50",
+    reference_modes=None,
+    max_reference_images=0,
+):
+    modes = reference_modes or ["none"]
+    operations = ["image_generate"]
+    if set(modes) & {"single", "multiple"}:
+        operations.append("image_edit")
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": candidate},
+        "capabilities": {
+            "operations": operations,
+            "features": [],
+            "reference_modes": modes,
+            "max_reference_images": max_reference_images,
+            "aspect_ratios": ratios or ["1:1", "3:4", "4:5", "9:16", "16:9"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+class StandaloneSingleImageRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.IMAGE).update(status=ModelConfig.Status.DISABLED)
+        self.user = User.objects.create_user(username="standalone-routing", password="x")
+        self.team = Team.objects.create(name="Standalone Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        self.provider_mocks = {}
+
+        provider_patch = patch("apps.ai.services.get_image_provider", side_effect=self._provider_for)
+        provider_patch.start()
+        media_patch = patch(
+            "apps.ai.services.VolcanoArkProvider.media_to_bytes",
+            return_value=(BytesIO(b"image"), "image/png"),
+        )
+        self.media_to_bytes = media_patch.start()
+        storage_patch = patch("apps.ai.services.TosStorage")
+        storage = storage_patch.start()
+        stored = storage.return_value.upload_fileobj.return_value
+        stored.object_key = "generated.png"
+        stored.bucket = "bucket"
+        stored.content_type = "image/png"
+        stored.size_bytes = 5
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        provider, _ = ModelProvider.objects.update_or_create(
+            name=name,
+            defaults={
+                "display_name": name,
+                "status": ModelProvider.Status.ACTIVE,
+                "metadata": {"routing": {"fallback_priority": priority}},
+            },
+        )
+        return provider
+
+    def model(
+        self,
+        provider,
+        name,
+        *,
+        outbound=True,
+        ratios=None,
+        base_cost="0.50",
+        reference_modes=None,
+        max_reference_images=0,
+    ):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.IMAGE,
+            endpoint="images/generations",
+            unit_price=Decimal("20"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=image_metadata(
+                outbound=outbound,
+                ratios=ratios,
+                base_cost=base_cost,
+                reference_modes=reference_modes,
+                max_reference_images=max_reference_images,
+            ),
+        )
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    @staticmethod
+    def _new_provider_mock():
+        provider = Mock()
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/result.png"}]}
+        provider.image_edit.return_value = {"data": [{"url": "http://example.test/result.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    @staticmethod
+    def _new_generation_only_provider_mock():
+        provider = Mock(spec=["image_generation", "extract_first_media_url"])
+        provider.image_generation.return_value = {"data": [{"url": "http://example.test/result.png"}]}
+        provider.extract_first_media_url.side_effect = lambda response: response["data"][0]["url"]
+        return provider
+
+    def reference_asset(self, name):
+        asset = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name=name,
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.UPLOAD,
+            category=Asset.Category.UPLOAD,
+        )
+        AssetFile.objects.create(
+            asset=asset,
+            object_key=f"{name}.png",
+            bucket="bucket",
+            content_type="image/png",
+            preview_url=f"http://example.test/{name}.png",
+            is_primary=True,
+        )
+        return asset
+
+    def submit(self, primary, *, count=1, ratio="1:1", reference_image_ids=None):
+        task = enqueue_standalone_images(
+            team=self.team,
+            user=self.user,
+            prompt="一只在太空漂浮的橙色猫",
+            mode="image",
+            count=count,
+            ratio=ratio,
+            image_model=f"{primary.provider.name}:{primary.name}",
+            reference_image_ids=reference_image_ids,
+            dispatch=False,
+        )
+        return task
+
+    def tryon_assets(self):
+        product = Product.objects.create(
+            team=self.team,
+            created_by=self.user,
+            title="橙色童装上衣",
+            category="服饰内衣",
+        )
+        cover = self.reference_asset("tryon-product")
+        cover.category = Asset.Category.PRODUCT_IMAGE
+        cover.save(update_fields=["category"])
+        product.cover_asset = cover
+        product.save(update_fields=["cover_asset"])
+        model_asset = self.reference_asset("tryon-model")
+        model_asset.source = Asset.Source.AI_GENERATED
+        model_asset.category = Asset.Category.PERSON
+        model_asset.save(update_fields=["source", "category"])
+        return product, model_asset
+
+    def submit_tryon(self, primary, *, count=1, ratio="4:5"):
+        product, model_asset = self.tryon_assets()
+        tasks = enqueue_standalone_images(
+            team=self.team,
+            user=self.user,
+            prompt="保持商品和模特身份，生成自然站姿上身图",
+            mode="model",
+            count=count,
+            product_id=str(product.id),
+            model_id=str(model_asset.id),
+            ratio=ratio,
+            image_model=f"{primary.provider.name}:{primary.name}",
+            dispatch=False,
+        )
+        return tasks
+
+    def platform_product(self):
+        product = Product.objects.create(
+            team=self.team,
+            created_by=self.user,
+            title="橙色童装上衣",
+            category="服饰内衣",
+        )
+        cover = self.reference_asset("platform-product")
+        cover.category = Asset.Category.PRODUCT_IMAGE
+        cover.save(update_fields=["category"])
+        product.cover_asset = cover
+        product.save(update_fields=["cover_asset"])
+        return product
+
+    def submit_platform(self, primary, *, count=1, ratio="4:5", platform_id="taobao"):
+        product = self.platform_product()
+        return enqueue_standalone_images(
+            team=self.team,
+            user=self.user,
+            prompt="保持商品一致，生成平台电商套图",
+            mode="cover",
+            count=count,
+            product_id=str(product.id),
+            ratio=ratio,
+            platform_id=platform_id,
+            image_model=f"{primary.provider.name}:{primary.name}",
+            dispatch=False,
+        )
+
+    def ledger_count(self, task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_user_selected_primary_is_first_and_success_never_queries_candidates(self):
+        primary = self.model(self.provider("single-primary", 100), "user-selected")
+        candidate = self.model(self.provider("single-unused", 1), "unused")
+        task = self.submit(primary)[0]
+
+        with patch("apps.ai.routing_executor.resolve_fallback_candidates") as resolver:
+            run_standalone_image_task(task_id=str(task.id))
+
+        resolver.assert_not_called()
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.public_model_name, "AirShelf Image")
+        self.assertEqual(attempt.platform_cost, Decimal("0.5000"))
+        self.provider_mocks[primary.id].image_generation.assert_called_once()
+        self.assertNotIn(candidate.id, self.provider_mocks)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_primary_retry_then_dynamic_candidate_success_has_one_charge(self):
+        primary = self.model(self.provider("single-fallback-primary", 100), "primary", base_cost="0.25")
+        candidate = self.model(self.provider("volcano", 10), "candidate", outbound=False, base_cost="0.75")
+        task = self.submit(primary, ratio="9:16")[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_generation.side_effect = requests.ConnectionError("primary offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual([item.model_config_id for item in attempts], [primary.id, primary.id, candidate.id])
+        self.assertEqual([item.is_retry for item in attempts], [False, True, False])
+        self.assertEqual([item.is_fallback for item in attempts], [False, False, True])
+        self.assertTrue(all(item.public_model_name == "AirShelf Image" for item in attempts))
+        self.assertEqual(task.base_cost, Decimal("0.7500"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+        self.assertEqual(Asset.objects.filter(origin_task=task).count(), 1)
+
+    def test_direct_primary_switch_off_retries_but_does_not_call_candidate(self):
+        primary = self.model(self.provider("volcano", 10), "direct-primary", outbound=False)
+        candidate = self.model(self.provider("single-direct-unused", 20), "unused")
+        task = self.submit(primary)[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_generation.side_effect = requests.ConnectionError("direct offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 2)
+        self.assertNotIn(candidate.id, self.provider_mocks)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_all_candidates_fail_releases_original_reservation_once(self):
+        primary = self.model(self.provider("single-all-primary", 100), "primary")
+        candidate = self.model(self.provider("volcano", 10), "candidate", outbound=False)
+        task = self.submit(primary)[0]
+        for model in (primary, candidate):
+            self.provider_mocks[model.id] = self._new_provider_mock()
+            self.provider_mocks[model.id].image_generation.side_effect = requests.ConnectionError("offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 3)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        account = CreditAccount.objects.get(team=self.team)
+        self.assertEqual(account.reserved_balance, Decimal("0"))
+
+    def test_invalid_input_neither_retries_nor_fallbacks(self):
+        primary = self.model(self.provider("single-invalid-primary", 100), "primary")
+        candidate = self.model(self.provider("single-invalid-unused", 10), "unused")
+        task = self.submit(primary)[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_generation.side_effect = RuntimeError("invalid image parameter")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(task.model_attempts.get().error_type, "invalid_input")
+        self.assertNotIn(candidate.id, self.provider_mocks)
+
+    def test_incompatible_ratio_candidate_is_excluded(self):
+        primary = self.model(self.provider("single-ratio-primary", 100), "primary")
+        incompatible = self.model(
+            self.provider("single-ratio-incompatible", 10),
+            "incompatible",
+            ratios=["1:1"],
+        )
+        task = self.submit(primary, ratio="9:16")[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_generation.side_effect = requests.ConnectionError("offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 2)
+        self.assertNotIn(incompatible.id, self.provider_mocks)
+
+    def test_postprocess_failure_does_not_reinvoke_model_or_fallback(self):
+        primary = self.model(self.provider("single-post-primary", 100), "primary")
+        candidate = self.model(self.provider("single-post-unused", 10), "unused")
+        task = self.submit(primary)[0]
+        self.media_to_bytes.side_effect = RuntimeError("download failed")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(task.model_attempts.get().status, AIModelAttempt.Status.SUCCEEDED)
+        self.provider_mocks[primary.id].image_generation.assert_called_once()
+        self.assertNotIn(candidate.id, self.provider_mocks)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_single_reference_uses_selected_edit_model_and_records_attempt(self):
+        primary = self.model(
+            self.provider("single-ref-primary", 20),
+            "selected-edit-model",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        reference = self.reference_asset("single-ref")
+        task = self.submit(primary, reference_image_ids=[str(reference.id)])[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 1)
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(call.kwargs["images"], ["http://example.test/single-ref.png"])
+        self.assertIn("唯一依据", call.kwargs["prompt"])
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_selected_seedream_reference_model_stays_primary_and_uses_image_input(self):
+        primary = self.model(
+            self.provider("volcano", 10),
+            "seedream-selected",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        reference = self.reference_asset("seedream-ref")
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+
+        task = self.submit(primary, reference_image_ids=[str(reference.id)])[0]
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["image"], ["http://example.test/seedream-ref.png"])
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)
+
+    def test_multiple_references_retry_then_dynamic_compatible_candidate_success(self):
+        primary = self.model(
+            self.provider("multi-ref-primary", 100),
+            "primary-edit",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        candidate = self.model(
+            self.provider("volcano", 10),
+            "candidate-edit",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        references = [self.reference_asset("multi-ref-1"), self.reference_asset("multi-ref-2")]
+        task = self.submit(primary, reference_image_ids=[str(item.id) for item in references])[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("primary offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([item.model_config_id for item in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(item.operation == "image_edit" for item in attempts))
+        candidate_call = self.provider_mocks[candidate.id].image_edit.call_args
+        self.assertEqual(
+            candidate_call.kwargs["images"],
+            ["http://example.test/multi-ref-1.png", "http://example.test/multi-ref-2.png"],
+        )
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_multiple_references_exclude_candidate_with_insufficient_limit(self):
+        primary = self.model(
+            self.provider("multi-limit-primary", 100),
+            "primary-edit",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        incompatible = self.model(
+            self.provider("multi-limit-incompatible", 10),
+            "single-only",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=1,
+        )
+        references = [self.reference_asset("limit-ref-1"), self.reference_asset("limit-ref-2")]
+        task = self.submit(primary, reference_image_ids=[str(item.id) for item in references])[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("primary offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 2)
+        self.assertNotIn(incompatible.id, self.provider_mocks)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_tryon_selected_edit_model_is_primary_and_records_two_references(self):
+        primary = self.model(
+            self.provider("tryon-primary", 20),
+            "selected-tryon-edit",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        task = self.submit_tryon(primary)[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 2)
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(
+            call.kwargs["images"],
+            ["http://example.test/tryon-product.png", "http://example.test/tryon-model.png"],
+        )
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_tryon_selected_seedream_stays_primary_and_uses_image_generation(self):
+        primary = self.model(
+            self.provider("volcano", 10),
+            "seedream-tryon-selected",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        task = self.submit_tryon(primary)[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(len(call.kwargs["image"]), 2)
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)
+
+    def test_tryon_primary_retry_then_dynamic_candidate_success_has_one_charge(self):
+        primary = self.model(
+            self.provider("tryon-fallback-primary", 100),
+            "primary-tryon",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        candidate = self.model(
+            self.provider("volcano", 10),
+            "candidate-tryon",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        task = self.submit_tryon(primary)[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("primary offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([item.model_config_id for item in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(item.request_summary["reference_images"] == 2 for item in attempts))
+        self.assertTrue(all(item.public_model_name == "AirShelf Image" for item in attempts))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_tryon_direct_primary_failure_retries_without_fallback_and_releases(self):
+        primary = self.model(
+            self.provider("volcano", 10),
+            "direct-tryon",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        candidate = self.model(
+            self.provider("tryon-direct-unused", 20),
+            "unused-tryon",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        self.provider_mocks[primary.id].image_generation.side_effect = requests.ConnectionError("direct offline")
+        task = self.submit_tryon(primary)[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 2)
+        self.assertNotIn(candidate.id, self.provider_mocks)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_tryon_batch_keeps_independent_task_attempt_and_billing_chains(self):
+        primary = self.model(
+            self.provider("tryon-batch-primary", 20),
+            "batch-tryon",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        tasks = self.submit_tryon(primary, count=2)
+
+        for task in tasks:
+            run_standalone_image_task(task_id=str(task.id))
+
+        for task in tasks:
+            task.refresh_from_db()
+            self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+            self.assertEqual(task.model_attempts.count(), 1)
+            self.assertEqual(task.model_attempts.get().request_summary["reference_images"], 2)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_platform_kit_selected_model_is_primary_and_keeps_platform_prompt(self):
+        primary = self.model(
+            self.provider("platform-primary", 20),
+            "selected-platform-edit",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        task = self.submit_platform(primary, platform_id="taobao")[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.request_payload["platform_id"], "taobao")
+        self.assertEqual(task.request_payload["platform_name"], "淘宝")
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 1)
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(call.kwargs["images"], ["http://example.test/platform-product.png"])
+        self.assertIn("淘宝", call.kwargs["prompt"])
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_platform_kit_selected_seedream_stays_primary(self):
+        primary = self.model(
+            self.provider("volcano", 10),
+            "seedream-platform-selected",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        task = self.submit_platform(primary, platform_id="douyin")[0]
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.model_attempts.count(), 1)
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["image"], ["http://example.test/platform-product.png"])
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)
+
+    def test_platform_kit_retry_then_dynamic_candidate_success_has_one_charge(self):
+        primary = self.model(
+            self.provider("platform-fallback-primary", 100),
+            "primary-platform",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        candidate = self.model(
+            self.provider("volcano", 10),
+            "candidate-platform",
+            outbound=False,
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        task = self.submit_platform(primary)[0]
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("primary offline")
+
+        run_standalone_image_task(task_id=str(task.id))
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([item.model_config_id for item in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertTrue(all(item.request_summary["reference_images"] == 1 for item in attempts))
+        self.assertTrue(all(item.public_model_name == "AirShelf Image" for item in attempts))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_platform_kit_batch_keeps_independent_tasks_attempts_and_billing(self):
+        primary = self.model(
+            self.provider("platform-batch-primary", 20),
+            "batch-platform",
+            reference_modes=["none", "single", "multiple"],
+            max_reference_images=9,
+        )
+        tasks = self.submit_platform(primary, count=3, platform_id="jd")
+
+        for task in tasks:
+            run_standalone_image_task(task_id=str(task.id))
+
+        self.assertEqual({task.request_payload["batch_id"] for task in tasks}, {tasks[0].request_payload["batch_id"]})
+        for index, task in enumerate(tasks):
+            task.refresh_from_db()
+            self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+            self.assertEqual(task.request_payload["index"], index)
+            self.assertEqual(task.request_payload["platform_id"], "jd")
+            self.assertEqual(task.model_attempts.count(), 1)
+            self.assertEqual(task.model_attempts.get().request_summary["reference_images"], 1)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+            self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_batch_without_references_keeps_legacy_path_until_its_own_step(self):
+        primary = self.model(self.provider("single-batch-primary", 100), "primary")
+        tasks = self.submit(primary, count=2)
+
+        for task in tasks:
+            run_standalone_image_task(task_id=str(task.id))
+
+        self.assertTrue(all("model_routing_v1" not in task.request_payload for task in tasks))
+        self.assertEqual(AIModelAttempt.objects.filter(task__in=tasks).count(), 0)
+        self.assertEqual(self.provider_mocks[primary.id].image_generation.call_count, 2)

core/backend/apps/ai/test_storyboard_routing.py

@@ -0,0 +1,312 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import TestCase, override_settings
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import _storyboard_shot_worker, poll_storyboard
+from apps.assets.models import Asset
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import (
+    Project,
+    ScriptSegment,
+    ScriptVersion,
+    StoryboardShot,
+    StoryboardShotVersion,
+)
+
+
+def _metadata(*, outbound=True, base_cost="0.50", max_refs=9):
+    return {
+        "routing": {"fallback_on_failure": outbound, "fallback_candidate": True},
+        "capabilities": {
+            "operations": ["image_generate", "image_edit"],
+            "features": [],
+            "reference_modes": ["none", "single", "multiple"],
+            "max_reference_images": max_refs,
+            "aspect_ratios": ["1:1", "3:4", "4:5", "9:16", "16:9"],
+        },
+        "pricing": {"base_cost_yuan": base_cost},
+    }
+
+
+@override_settings(STORYBOARD_MAX_PARALLEL=4)
+class StoryboardRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.IMAGE).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="storyboard-routing", password="x")
+        self.team = Team.objects.create(name="Storyboard Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="故事板路由项目",
+        )
+        script = ScriptVersion.objects.create(
+            project=self.project,
+            title="脚本",
+            content="结构化脚本",
+            is_adopted=True,
+        )
+        self.segment = ScriptSegment.objects.create(
+            script_version=script,
+            sort_order=0,
+            visual_prompt="人物在商品旁展示",
+        )
+        self.shot = StoryboardShot.objects.create(
+            project=self.project,
+            script_segment=self.segment,
+            sort_order=0,
+            status=StoryboardShot.Status.QUEUED,
+        )
+        self.refs = [
+            {"url": "http://example.test/person.png", "label": "女主", "type": "person"},
+            {"url": "http://example.test/product.png", "label": "商品", "type": "product"},
+        ]
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_image_provider", side_effect=self._provider_for).start()
+        patch(
+            "apps.ai.services._storyboard_reference_images",
+            side_effect=lambda project, segment: list(self.refs),
+        ).start()
+        patch(
+            "apps.ai.services.build_storyboard_frame_prompt_refs",
+            return_value="带参考图编号与锁定约束的故事板提示词",
+        ).start()
+        patch(
+            "apps.ai.services.build_storyboard_frame_prompt",
+            return_value="无参考图故事板提示词",
+        ).start()
+        patch("apps.ai.services._store_generated_media", side_effect=self._store_media).start()
+        patch("apps.assets.review.submit_asset_for_review").start()
+        patch("apps.ai.services.notify_generation_failure").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound=True, base_cost="0.50", max_refs=9):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.IMAGE,
+            endpoint="images/generations",
+            unit_price=Decimal("20"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, base_cost=base_cost, max_refs=max_refs),
+        )
+
+    @staticmethod
+    def _new_provider_mock():
+        provider = Mock()
+        response = {"data": [{"url": "http://example.test/storyboard.png"}]}
+        provider.image_edit.return_value = response
+        provider.image_generation.return_value = response
+        provider.extract_first_media_url.side_effect = lambda value: value["data"][0]["url"]
+        return provider
+
+    @staticmethod
+    def _new_generation_only_provider_mock():
+        provider = Mock(spec=["image_generation", "extract_first_media_url"])
+        provider.image_generation.return_value = {
+            "data": [{"url": "http://example.test/storyboard.png"}]
+        }
+        provider.extract_first_media_url.side_effect = lambda value: value["data"][0]["url"]
+        return provider
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, self._new_provider_mock())
+
+    def _store_media(self, **kwargs):
+        return Asset.objects.create(
+            team=kwargs["team"],
+            created_by=kwargs["user"],
+            name=kwargs["name"],
+            asset_type=kwargs["asset_type"],
+            source=Asset.Source.AI_GENERATED,
+            category=kwargs["category"],
+            origin_task=kwargs["task"],
+        )
+
+    def enqueue(self, *, run=True):
+        with patch("threading.Thread"):
+            result = poll_storyboard(project=self.project, user=self.user)
+        self.assertEqual(result["status"], "generating")
+        task = AITask.objects.filter(project=self.project, task_type=AITask.Type.STORYBOARD).latest(
+            "created_at"
+        )
+        if run:
+            _storyboard_shot_worker(str(task.id), str(self.shot.id), str(self.user.id))
+        return task
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def test_multi_reference_success_records_9_16_and_adopts_one_shot_version(self):
+        primary = self.model(self.provider("storyboard-primary", 20), "storyboard-primary")
+        task = self.enqueue()
+
+        task.refresh_from_db()
+        self.shot.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertTrue(task.request_payload["model_routing_v1"])
+        self.assertEqual(task.base_cost, Decimal("0.5000"))
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.model_config_id, primary.id)
+        self.assertEqual(attempt.operation, "image_edit")
+        self.assertEqual(attempt.request_summary["reference_images"], 2)
+        self.assertEqual(attempt.request_summary["aspect_ratio"], "9:16")
+        self.assertEqual(attempt.request_summary["storyboard_shot"], str(self.shot.id))
+        call = self.provider_mocks[primary.id].image_edit.call_args
+        self.assertEqual(
+            call.kwargs["images"],
+            ["http://example.test/person.png", "http://example.test/product.png"],
+        )
+        self.assertEqual(call.kwargs["prompt"], "带参考图编号与锁定约束的故事板提示词")
+        self.assertEqual(call.kwargs["size"], "1024x1536")
+        self.assertIsNotNone(self.shot.adopted_version_id)
+        self.assertEqual(self.shot.adopted_version.task_id, task.id)
+        self.assertEqual(self.shot.versions.count(), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+
+    def test_retry_then_dynamic_candidate_success_charges_once(self):
+        primary = self.model(
+            self.provider("storyboard-fallback-primary", 100),
+            "storyboard-primary",
+            base_cost="0.25",
+        )
+        candidate = self.model(
+            self.provider("volcano", 10),
+            "storyboard-candidate",
+            outbound=False,
+            base_cost="0.75",
+        )
+        self.provider_mocks[primary.id] = self._new_provider_mock()
+        self.provider_mocks[primary.id].image_edit.side_effect = requests.ConnectionError("offline")
+        task = self.enqueue()
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertEqual([a.model_config_id for a in attempts], [primary.id, primary.id, candidate.id])
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertEqual(task.base_cost, Decimal("0.7500"))
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_candidates_fail_releases_and_keeps_old_adopted_version(self):
+        primary = self.model(self.provider("storyboard-all-primary", 100), "storyboard-primary")
+        candidate = self.model(
+            self.provider("volcano", 10), "storyboard-candidate", outbound=False
+        )
+        old_asset = Asset.objects.create(
+            team=self.team,
+            created_by=self.user,
+            name="旧故事板",
+            asset_type=Asset.Type.IMAGE,
+            source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.STORYBOARD,
+        )
+        old_version = StoryboardShotVersion.objects.create(
+            shot=self.shot,
+            asset=old_asset,
+            prompt="旧画面",
+            is_adopted=True,
+        )
+        self.shot.adopted_version = old_version
+        self.shot.save(update_fields=["adopted_version", "updated_at"])
+        for model in (primary, candidate):
+            self.provider_mocks[model.id] = self._new_provider_mock()
+            self.provider_mocks[model.id].image_edit.side_effect = requests.ConnectionError("offline")
+
+        task = self.enqueue()
+
+        task.refresh_from_db()
+        self.shot.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(task.model_attempts.count(), 3)
+        self.assertEqual(self.shot.adopted_version_id, old_version.id)
+        self.assertEqual(self.shot.versions.count(), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_no_reference_uses_image_generation_and_keeps_vertical_capability(self):
+        primary = self.model(self.provider("storyboard-no-ref", 20), "storyboard-no-ref")
+        self.refs = []
+        task = self.enqueue()
+
+        task.refresh_from_db()
+        attempt = task.model_attempts.get()
+        self.assertEqual(attempt.operation, "image_generate")
+        self.assertEqual(attempt.request_summary["reference_images"], 0)
+        self.assertEqual(attempt.request_summary["aspect_ratio"], "9:16")
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(call.kwargs["prompt"], "无参考图故事板提示词")
+        self.assertNotIn("size", call.kwargs)
+
+    def test_direct_primary_uses_image_generation_with_all_references(self):
+        primary = self.model(
+            self.provider("volcano", 10), "seedream-storyboard", outbound=False
+        )
+        self.provider_mocks[primary.id] = self._new_generation_only_provider_mock()
+        task = self.enqueue()
+
+        task.refresh_from_db()
+        call = self.provider_mocks[primary.id].image_generation.call_args
+        self.assertEqual(
+            call.kwargs["image"],
+            ["http://example.test/person.png", "http://example.test/product.png"],
+        )
+        self.assertEqual(call.kwargs["size"], "1024x1536")
+        self.assertEqual(task.model_attempts.get().public_model_name, primary.display_name)
+
+    def test_poll_creates_one_independent_task_and_reservation_per_shot(self):
+        self.model(self.provider("storyboard-batch", 20), "storyboard-batch")
+        second_segment = ScriptSegment.objects.create(
+            script_version=self.segment.script_version,
+            sort_order=1,
+            visual_prompt="第二镜",
+        )
+        second_shot = StoryboardShot.objects.create(
+            project=self.project,
+            script_segment=second_segment,
+            sort_order=1,
+            status=StoryboardShot.Status.QUEUED,
+        )
+
+        with patch("threading.Thread"):
+            result = poll_storyboard(project=self.project, user=self.user)
+
+        self.assertEqual(result, {"status": "generating", "done": 0, "total": 2})
+        tasks = list(
+            AITask.objects.filter(project=self.project, task_type=AITask.Type.STORYBOARD).order_by(
+                "created_at"
+            )
+        )
+        self.assertEqual(len(tasks), 2)
+        self.assertEqual(
+            {task.request_payload["storyboard_shot"] for task in tasks},
+            {str(self.shot.id), str(second_shot.id)},
+        )
+        self.assertTrue(all(task.request_payload["model_routing_v1"] for task in tasks))
+        self.assertTrue(all(task.base_cost == Decimal("0") for task in tasks))
+        self.assertTrue(all(self.ledger_count(task, CreditLedger.Type.RESERVE) == 1 for task in tasks))

core/backend/apps/ai/test_video_segment_routing.py

@@ -0,0 +1,278 @@
+from copy import deepcopy
+from datetime import timedelta
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.conf import settings
+from django.test import TestCase, override_settings
+from django.utils import timezone
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.services import poll_video_segment, submit_video_segment
+from apps.assets.models import Asset
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project, VideoSegment
+
+
+def _fast_routing_policy():
+    policy = deepcopy(settings.MODEL_ROUTING_POLICY)
+    policy["jitter_ratio"] = 0
+    policy["video"]["submit_retry_delays"] = [0]
+    return policy
+
+
+def _video_metadata(*, outbound, candidate=True, price=46):
+    return {
+        "routing": {
+            "fallback_on_failure": outbound,
+            "fallback_candidate": candidate,
+        },
+        "capabilities": {
+            "operations": ["video_generate"],
+            "features": ["generate_audio"],
+            "max_reference_images": 9,
+            "max_reference_videos": 3,
+            "max_reference_audios": 3,
+            "aspect_ratios": ["9:16"],
+            "resolutions": ["720p"],
+            "durations": [15],
+        },
+        "pricing": {
+            "unit": "cny_per_million_tokens",
+            "default": {"no_ref_video": price, "with_ref_video": price},
+        },
+    }
+
+
+@override_settings(MODEL_ROUTING_POLICY=_fast_routing_policy())
+class VideoSegmentRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.VIDEO).update(
+            status=ModelConfig.Status.DISABLED,
+            is_default=False,
+        )
+        self.user = User.objects.create_user(username="video-routing", password="x")
+        self.team = Team.objects.create(name="Video Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("10000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="Product")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="Video routing project",
+        )
+        self.segment = VideoSegment.objects.create(
+            project=self.project,
+            sort_order=0,
+            target_duration_seconds=15,
+        )
+        self.provider_mocks = {}
+        patch("apps.ai.services.get_video_provider", side_effect=self._provider_for).start()
+        patch("apps.ai.services._video_reference_images", return_value=[]).start()
+        patch("apps.ai.services.build_video_segment_prompt", return_value="video prompt").start()
+        patch("apps.ai.services.notify_generation_failure").start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            base_url="https://video.example/v1",
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound, price=46, default=False):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.VIDEO,
+            endpoint="contents/generations/tasks",
+            unit_price=Decimal("1"),
+            status=ModelConfig.Status.ACTIVE,
+            is_default=default,
+            metadata=_video_metadata(outbound=outbound, price=price),
+        )
+
+    def _provider_for(self, model):
+        return self.provider_mocks.setdefault(model.id, Mock())
+
+    def _submit(self):
+        submit_video_segment(video_segment=self.segment, user=self.user, prompt="test")
+        return AITask.objects.get(task_type=AITask.Type.VIDEO_SEGMENT, team=self.team)
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    @staticmethod
+    def _asset(task):
+        return Asset.objects.create(
+            team=task.team,
+            created_by=task.created_by,
+            name="video clip",
+            asset_type=Asset.Type.VIDEO,
+            source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.VIDEO_CLIP,
+            origin_task=task,
+        )
+
+    def test_first_submit_success_creates_one_attempt_and_one_reservation(self):
+        primary = self.model(self.provider("video-primary-ok", 20), "video-primary-ok", outbound=True, default=True)
+        provider = self._provider_for(primary)
+        provider.create_video_task.return_value = {"id": "remote-primary", "status": "queued"}
+
+        task = self._submit()
+
+        task.refresh_from_db()
+        self.segment.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUBMITTED)
+        self.assertEqual(task.provider_task_id, "remote-primary")
+        self.assertEqual(task.request_payload["actual_model_config_id"], str(primary.id))
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(task.model_attempts.get().provider_task_id, "remote-primary")
+        self.assertEqual(self.segment.status, VideoSegment.Status.RUNNING)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    @patch("apps.ai.services._store_generated_media")
+    def test_retry_then_dynamic_fallback_polls_actual_model_and_charges_once(self, store_media):
+        primary = self.model(self.provider("video-primary-fail", 20), "video-primary-fail", outbound=True, price=46, default=True)
+        candidate = self.model(self.provider("video-candidate-ok", 30), "video-candidate-ok", outbound=False, price=23)
+        primary_provider = self._provider_for(primary)
+        fallback_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ConnectionError("primary offline")
+        fallback_provider.create_video_task.return_value = {"id": "remote-fallback", "status": "queued"}
+
+        task = self._submit()
+        store_media.return_value = self._asset(task)
+        fallback_provider.poll_video_task.return_value = {
+            "status": "succeeded",
+            "usage": {"total_tokens": 300000},
+            "content": {"video_url": "https://video.example/result.mp4"},
+        }
+        fallback_provider.extract_first_media_url.return_value = "https://video.example/result.mp4"
+
+        version = poll_video_segment(video_segment=self.segment, user=self.user)
+
+        task.refresh_from_db()
+        attempts = list(task.model_attempts.order_by("sequence"))
+        self.assertIsNotNone(version)
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [primary.id, primary.id, candidate.id],
+        )
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertEqual(task.model_config_id, primary.id)
+        self.assertEqual(task.request_payload["actual_model_config_id"], str(candidate.id))
+        self.assertEqual(task.status, AITask.Status.SUCCEEDED)
+        self.assertFalse(primary_provider.poll_video_task.called)
+        fallback_provider.poll_video_task.assert_called_once_with(
+            endpoint=candidate.endpoint,
+            provider_task_id="remote-fallback",
+            timeout=60.0,
+        )
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_direct_model_with_outbound_disabled_never_uses_candidate(self):
+        primary = self.model(self.provider("ark", 10), "video-direct-locked", outbound=False, default=True)
+        candidate = self.model(self.provider("video-unused", 20), "video-unused", outbound=False)
+        primary_provider = self._provider_for(primary)
+        unused_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ConnectionError("direct offline")
+        unused_provider.create_video_task.return_value = {"id": "must-not-run"}
+
+        with self.assertRaises(requests.ConnectionError):
+            self._submit()
+
+        task = AITask.objects.get(task_type=AITask.Type.VIDEO_SEGMENT, team=self.team)
+        self.assertEqual(
+            list(task.model_attempts.values_list("model_config_id", flat=True)),
+            [primary.id, primary.id],
+        )
+        self.assertFalse(unused_provider.create_video_task.called)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_submit_read_timeout_is_state_unknown_and_is_never_retried(self):
+        primary = self.model(self.provider("video-timeout", 20), "video-timeout", outbound=True, default=True)
+        candidate = self.model(self.provider("video-timeout-unused", 30), "video-timeout-unused", outbound=False)
+        primary_provider = self._provider_for(primary)
+        unused_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.side_effect = requests.ReadTimeout("response lost")
+
+        with self.assertRaisesRegex(RuntimeError, "state unknown|状态未知"):
+            self._submit()
+
+        task = AITask.objects.get(task_type=AITask.Type.VIDEO_SEGMENT, team=self.team)
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertFalse(unused_provider.create_video_task.called)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_submit_response_without_remote_id_is_never_retried(self):
+        primary = self.model(self.provider("video-no-id", 20), "video-no-id", outbound=True, default=True)
+        candidate = self.model(self.provider("video-no-id-unused", 30), "video-no-id-unused", outbound=False)
+        primary_provider = self._provider_for(primary)
+        unused_provider = self._provider_for(candidate)
+        primary_provider.create_video_task.return_value = {"status": "queued"}
+
+        with self.assertRaisesRegex(RuntimeError, "state unknown|状态未知"):
+            self._submit()
+
+        task = AITask.objects.get(task_type=AITask.Type.VIDEO_SEGMENT, team=self.team)
+        attempt = task.model_attempts.get()
+        self.assertTrue(attempt.response_summary["provider_task_id_missing"])
+        self.assertFalse(unused_provider.create_video_task.called)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_poll_network_error_keeps_task_and_reservation_for_later_poll(self):
+        primary = self.model(self.provider("video-poll-unknown", 20), "video-poll-unknown", outbound=True, default=True)
+        provider = self._provider_for(primary)
+        provider.create_video_task.return_value = {"id": "remote-poll", "status": "queued"}
+        task = self._submit()
+        provider.poll_video_task.side_effect = requests.ConnectionError("poll offline")
+
+        with self.assertRaises(requests.ConnectionError):
+            poll_video_segment(video_segment=self.segment, user=self.user)
+
+        task.refresh_from_db()
+        self.segment.refresh_from_db()
+        self.assertEqual(task.status, AITask.Status.SUBMITTED)
+        self.assertEqual(self.segment.status, VideoSegment.Status.RUNNING)
+        self.assertEqual(task.model_attempts.count(), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+        self.assertGreater(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+    def test_generation_timeout_releases_without_polling_or_resubmitting(self):
+        primary = self.model(self.provider("video-generation-timeout", 20), "video-generation-timeout", outbound=True, default=True)
+        provider = self._provider_for(primary)
+        provider.create_video_task.return_value = {"id": "remote-slow", "status": "queued"}
+        task = self._submit()
+        task.submitted_at = timezone.now() - timedelta(seconds=1900)
+        task.save(update_fields=["submitted_at", "updated_at"])
+
+        result = poll_video_segment(video_segment=self.segment, user=self.user)
+
+        task.refresh_from_db()
+        self.segment.refresh_from_db()
+        self.assertIsNone(result)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(self.segment.status, VideoSegment.Status.FAILED)
+        self.assertFalse(provider.poll_video_task.called)
+        self.assertEqual(provider.create_video_task.call_count, 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))

core/backend/apps/ai/test_voiceover_routing.py

@@ -0,0 +1,241 @@
+from decimal import Decimal
+from unittest.mock import Mock, patch
+
+import requests
+from django.test import SimpleTestCase, TestCase
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.ai.models import AITask, ModelConfig, ModelProvider
+from apps.ai.providers.openai_compatible import OpenAICompatibleProvider
+from apps.ai.services import DEFAULT_VOICEOVER_VOICE, synthesize_project_voiceover
+from apps.assets.models import Asset
+from apps.assets.storage import StoredObject
+from apps.billing.models import CreditAccount, CreditLedger
+from apps.products.models import Product
+from apps.projects.models import Project
+
+
+def _metadata(*, outbound, candidate=True, voice="BV700_streaming", base_cost="0.10"):
+    return {
+        "routing": {
+            "fallback_on_failure": outbound,
+            "fallback_candidate": candidate,
+        },
+        "capabilities": {
+            "operations": ["tts"],
+            "features": [],
+            "languages": ["zh-CN"],
+            "voice_map": {DEFAULT_VOICEOVER_VOICE: voice},
+            "max_chars": 10000,
+            "speed_range": [0.5, 2.0],
+            "output_formats": ["mp3"],
+        },
+        "pricing": {
+            "chars_per_unit": 500,
+            "points_per_unit": 10,
+            "min_units": 1,
+            "base_cost_yuan_per_unit": base_cost,
+        },
+    }
+
+
+class VoiceoverRoutingTests(TestCase):
+    def setUp(self):
+        ModelConfig.objects.filter(capability=ModelConfig.Capability.AUDIO).update(
+            status=ModelConfig.Status.DISABLED
+        )
+        self.user = User.objects.create_user(username="voice-routing", password="x")
+        self.team = Team.objects.create(name="Voice Routing", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        CreditAccount.objects.create(team=self.team, balance=Decimal("1000"))
+        product = Product.objects.create(team=self.team, created_by=self.user, title="测试商品")
+        self.project = Project.objects.create(
+            team=self.team,
+            created_by=self.user,
+            product=product,
+            name="配音路由项目",
+        )
+        self.direct_provider, _ = ModelProvider.objects.get_or_create(
+            name="ark",
+            defaults={"display_name": "ARK"},
+        )
+        self.direct_provider.status = ModelProvider.Status.ACTIVE
+        self.direct_provider.metadata = {"routing": {"fallback_priority": 10}}
+        self.direct_provider.save(update_fields=["status", "metadata", "updated_at"])
+        self.provider_mocks = {}
+        self.direct_mock = Mock()
+        self.direct_mock.configured = True
+        self.direct_mock.synthesize.return_value = (b"direct-mp3", 1200)
+        patch("apps.ai.services.get_audio_provider", side_effect=self._provider_for).start()
+        stored = StoredObject(
+            object_key="qa-voice.mp3",
+            bucket="qa",
+            content_type="audio/mpeg",
+            size_bytes=10,
+        )
+        patch("apps.ai.services.TosStorage.upload_fileobj", return_value=stored).start()
+        self.addCleanup(patch.stopall)
+
+    def provider(self, name, priority):
+        return ModelProvider.objects.create(
+            name=name,
+            display_name=name,
+            status=ModelProvider.Status.ACTIVE,
+            base_url="https://voice.example/v1",
+            metadata={"routing": {"fallback_priority": priority}},
+        )
+
+    def model(self, provider, name, *, outbound, voice="BV700_streaming", base_cost="0.10"):
+        return ModelConfig.objects.create(
+            provider=provider,
+            name=name,
+            display_name=name,
+            capability=ModelConfig.Capability.AUDIO,
+            endpoint="audio/speech",
+            unit_price=Decimal("10"),
+            status=ModelConfig.Status.ACTIVE,
+            metadata=_metadata(outbound=outbound, voice=voice, base_cost=base_cost),
+        )
+
+    def _provider_for(self, model):
+        if model.provider_id == self.direct_provider.id:
+            return self.direct_mock
+        return self.provider_mocks.setdefault(model.id, Mock())
+
+    @staticmethod
+    def ledger_count(task, ledger_type):
+        return CreditLedger.objects.filter(task=task, ledger_type=ledger_type).count()
+
+    def synthesize(self, items):
+        return synthesize_project_voiceover(
+            project=self.project,
+            user=self.user,
+            items=items,
+            voice_type=DEFAULT_VOICEOVER_VOICE,
+            speed_ratio=1.0,
+        )
+
+    def test_two_cues_create_two_attempts_but_one_reservation_and_charge(self):
+        primary = self.model(self.direct_provider, "voice-direct-success", outbound=False)
+
+        voiceover = self.synthesize(
+            [{"index": 0, "text": "第一镜旁白"}, {"index": 1, "text": "第二镜旁白"}]
+        )
+
+        task = AITask.objects.get(task_type=AITask.Type.VOICEOVER)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(len(voiceover["items"]), 2)
+        self.assertEqual([attempt.model_config_id for attempt in attempts], [primary.id, primary.id])
+        self.assertTrue(all(attempt.operation == "tts" for attempt in attempts))
+        self.assertEqual(self.direct_mock.synthesize.call_count, 2)
+        self.assertEqual(Asset.objects.filter(origin_task=task).count(), 2)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_direct_model_with_outbound_disabled_retries_only_primary_and_releases(self):
+        primary = self.model(self.direct_provider, "voice-direct-locked", outbound=False)
+        candidate = self.model(
+            self.provider("voice-unused-candidate", 20),
+            "voice-unused",
+            outbound=False,
+            voice="alloy",
+        )
+        self.direct_mock.synthesize.side_effect = requests.ConnectionError("offline")
+        unused = Mock()
+        unused.synthesize.return_value = (b"unused", 1000)
+        self.provider_mocks[candidate.id] = unused
+
+        with self.assertRaises(requests.ConnectionError):
+            self.synthesize([{"index": 0, "text": "旁白"}])
+
+        task = AITask.objects.get(task_type=AITask.Type.VOICEOVER)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual([attempt.model_config_id for attempt in attempts], [primary.id, primary.id])
+        self.assertFalse(unused.synthesize.called)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+
+    def test_openai_candidate_enters_dynamically_and_uses_its_voice_map(self):
+        primary = self.model(self.direct_provider, "voice-dynamic-primary", outbound=True)
+        candidate = self.model(
+            self.provider("voice-dynamic-candidate", 20),
+            "voice-dynamic-fallback",
+            outbound=False,
+            voice="alloy",
+            base_cost="0.25",
+        )
+        self.direct_mock.synthesize.side_effect = requests.ConnectionError("offline")
+        fallback = Mock()
+        fallback.synthesize.return_value = (b"fallback-mp3", 1500)
+        self.provider_mocks[candidate.id] = fallback
+
+        voiceover = self.synthesize([{"index": 0, "text": "候选配音"}])
+
+        task = AITask.objects.get(task_type=AITask.Type.VOICEOVER)
+        attempts = list(task.model_attempts.all())
+        self.assertEqual(len(voiceover["items"]), 1)
+        self.assertEqual(
+            [attempt.model_config_id for attempt in attempts],
+            [primary.id, primary.id, candidate.id],
+        )
+        self.assertTrue(attempts[-1].is_fallback)
+        self.assertEqual(fallback.synthesize.call_args.kwargs["voice_type"], "alloy")
+        self.assertEqual(fallback.synthesize.call_args.kwargs["model"], candidate.name)
+        self.assertEqual(fallback.synthesize.call_args.kwargs["endpoint"], "audio/speech")
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 0)
+
+    def test_all_candidates_fail_release_once_and_create_no_audio_assets(self):
+        primary = self.model(self.direct_provider, "voice-all-primary", outbound=True)
+        candidate = self.model(
+            self.provider("voice-all-candidate", 20),
+            "voice-all-fallback",
+            outbound=False,
+            voice="alloy",
+        )
+        self.direct_mock.synthesize.side_effect = requests.ConnectionError("offline")
+        failed = Mock()
+        failed.synthesize.side_effect = requests.ConnectionError("also offline")
+        self.provider_mocks[candidate.id] = failed
+
+        with self.assertRaises(requests.ConnectionError):
+            self.synthesize([{"index": 0, "text": "失败旁白"}])
+
+        task = AITask.objects.get(task_type=AITask.Type.VOICEOVER)
+        self.assertEqual(task.status, AITask.Status.FAILED)
+        self.assertEqual(Asset.objects.filter(origin_task=task).count(), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RESERVE), 1)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.CHARGE), 0)
+        self.assertEqual(self.ledger_count(task, CreditLedger.Type.RELEASE), 1)
+        self.assertEqual(CreditAccount.objects.get(team=self.team).reserved_balance, Decimal("0"))
+
+
+class OpenAICompatibleSpeechTests(SimpleTestCase):
+    @patch("apps.ai.providers.openai_compatible.requests.post")
+    def test_standard_audio_speech_request(self, post):
+        response = Mock()
+        response.ok = True
+        response.content = b"mp3-bytes"
+        response.headers = {"x-audio-duration-ms": "1234"}
+        post.return_value = response
+        provider = OpenAICompatibleProvider(base_url="https://voice.example/v1", api_key="secret")
+
+        audio, duration_ms = provider.synthesize(
+            model="tts-model",
+            text="你好",
+            voice_type="alloy",
+            speed_ratio=1.2,
+            endpoint="audio/speech",
+            timeout=9,
+        )
+
+        self.assertEqual(audio, b"mp3-bytes")
+        self.assertEqual(duration_ms, 1234)
+        call = post.call_args
+        self.assertEqual(call.args[0], "https://voice.example/v1/audio/speech")
+        self.assertEqual(call.kwargs["json"]["voice"], "alloy")
+        self.assertEqual(call.kwargs["json"]["response_format"], "mp3")
+        self.assertEqual(call.kwargs["timeout"], 9)

core/backend/apps/ai/tests.py

@@ -902,9 +902,9 @@ class StandaloneImageReferenceTests(TestCase):
         self.assertIn("用户要求是最高优先级", used_prompt)
         prov.image_generation.assert_not_called()
 
-    def test_refs_force_image_edit_model_when_volcano_selected(self):
-        """用户选了火山 Seedream(只有图生图、不会真锁主体)却传了参考图时,必须自动切到支持
-        image_edit 的 gpt-image-2——否则参考图形同虚设。回归保护「选火山+传参考图=完全不参考」。"""
+    def test_refs_keep_user_selected_volcano_model_as_primary(self):
+        """图片创作上传参考图后仍必须尊重用户选择的 Seedream；它可走带 image 的图生图，
+        只有真实调用失败后才允许统一路由按配置 Fallback，不能在建任务阶段静默换成 gpt-image。"""
         from apps.ai.models import ModelProvider
 
         vp, _ = ModelProvider.objects.get_or_create(name="volcengine", defaults={"display_name": "火山"})
@@ -919,8 +919,8 @@ class StandaloneImageReferenceTests(TestCase):
             team=self.team, user=self.user, prompt="不同场景", mode="image", count=1,
             image_model="volcano", reference_image_ids=[str(ref.id)],
         )
-        # 任务最终落在支持 image_edit 的模型(gpt-image),而不是用户选的火山 Seedream
-        self.assertIn("gpt-image", tasks[0].model_config.name)
+        self.assertEqual(tasks[0].model_config.provider_id, vp.id)
+        self.assertIn("seedream", tasks[0].model_config.name)
 
     def test_model_tryon_keeps_each_user_selected_model_even_with_extra_refs(self):
         """模特上身图由专用 Worker 向两类模型传商品/人物参考图，不能沿用自由创作的自动换模逻辑。"""