Honor provider/rotation/autoselect context & token defaults; bump to 0.99.81

Provider-level defaults were ignored when a provider had no per-model
configs, so coderai/broker providers reported a fixed 4096 context window
and clients fell back to their own defaults.

- model list (handlers.py): fall back to provider_config.default_context_size
  for context_window/context_length before inferring
- rotation/autoselect model list (routes/api.py): attach context_window/
  context_length resolved from rotation/autoselect/provider defaults (was
  absent entirely, causing clients to default to 4096)
- handle_rotation_model_list: honor provider default_context_size before
  heuristic auto-derivation
- max output tokens: add ProviderModelConfig.max_tokens and
  default_max_tokens on Provider/Rotation/Autoselect configs, plus
  get_max_completion_tokens_for_model resolver, applied as a fallback in
  all request paths when the client omits max_tokens
- get_max_request_tokens_for_model: fall back to
  provider_config.default_max_request_tokens; drop duplicated dead block
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

aisbf/__init__.py

@@ -53,9 +53,9 @@ from .auth.claude import ClaudeAuth
 from .auth.kilo import KiloOAuth2
 from .auth.qwen import QwenOAuth2
 from .handlers import RequestHandler, RotationHandler, AutoselectHandler
-from .utils import count_messages_tokens, split_messages_into_chunks, get_max_request_tokens_for_model
+from .utils import count_messages_tokens, split_messages_into_chunks, get_max_request_tokens_for_model, get_max_completion_tokens_for_model
 
-__version__ = "0.99.79"
+__version__ = "0.99.81"
 __all__ = [
     # Config
     "config",
@@ -101,4 +101,5 @@ __all__ = [
     "count_messages_tokens",
     "split_messages_into_chunks",
     "get_max_request_tokens_for_model",
+    "get_max_completion_tokens_for_model",
 ]

aisbf/config.py

@@ -34,6 +34,7 @@ class ProviderModelConfig(BaseModel):
     name: str
     rate_limit: Optional[float] = None
     max_request_tokens: Optional[int] = None
+    max_tokens: Optional[int] = None  # Upper bound on generated output tokens (max completion tokens)
     error_cooldown: Optional[int] = None  # Cooldown period in seconds after 3 consecutive failures
     # OpenRouter-style extended fields
     description: Optional[str] = None
@@ -121,6 +122,7 @@ class ProviderConfig(BaseModel):
     # Default settings for models in this provider
     default_rate_limit: Optional[float] = None
     default_max_request_tokens: Optional[int] = None
+    default_max_tokens: Optional[int] = None  # Default upper bound on generated output tokens (max completion tokens)
     default_rate_limit_TPM: Optional[int] = None
     default_rate_limit_TPH: Optional[int] = None
     default_rate_limit_TPD: Optional[int] = None
@@ -174,6 +176,7 @@ class RotationConfig(BaseModel):
     # Default settings for models in this rotation
     default_rate_limit: Optional[float] = None
     default_max_request_tokens: Optional[int] = None
+    default_max_tokens: Optional[int] = None  # Default upper bound on generated output tokens (max completion tokens)
     default_rate_limit_TPM: Optional[int] = None
     default_rate_limit_TPH: Optional[int] = None
     default_rate_limit_TPD: Optional[int] = None
@@ -228,6 +231,7 @@ class AutoselectConfig(BaseModel):
     # Default settings for models in this autoselect
     default_rate_limit: Optional[float] = None
     default_max_request_tokens: Optional[int] = None
+    default_max_tokens: Optional[int] = None  # Default upper bound on generated output tokens (max completion tokens)
     default_rate_limit_TPM: Optional[int] = None
     default_rate_limit_TPH: Optional[int] = None
     default_rate_limit_TPD: Optional[int] = None

aisbf/handlers.py

@@ -44,7 +44,8 @@ from .studio_adapters import effective_studio_adapter, infer_studio_adapter_prof
 from .utils import (
     count_messages_tokens,
     split_messages_into_chunks,
-    get_max_request_tokens_for_model
+    get_max_request_tokens_for_model,
+    get_max_completion_tokens_for_model
 )
 from .context import ContextManager, get_context_config_for_model
 from .classifier import content_classifier
@@ -706,6 +707,17 @@ class RequestHandler:
                 rotation_model_config=None
             )
 
+            # Apply provider-level default max output tokens when the client didn't set one
+            if request_data.get('max_tokens') is None:
+                default_max_tokens = get_max_completion_tokens_for_model(
+                    model_name=model,
+                    provider_config=provider_config,
+                    rotation_model_config=None,
+                )
+                if default_max_tokens:
+                    request_data['max_tokens'] = default_max_tokens
+                    logger.info(f"Applied provider default max_tokens: {default_max_tokens}")
+
             # Calculate effective context (total tokens used)
             effective_context = count_messages_tokens(messages, model)
             logger.info(f"Effective context: {effective_context} tokens")
@@ -1045,6 +1057,16 @@ class RequestHandler:
             autoselect_config=None,
         )
 
+        # Apply provider-level default max output tokens when the client didn't set one
+        if request_data.get('max_tokens') is None:
+            default_max_tokens = get_max_completion_tokens_for_model(
+                model_name=model,
+                provider_config=provider_config,
+                rotation_model_config=None,
+            )
+            if default_max_tokens:
+                request_data['max_tokens'] = default_max_tokens
+
         effective_context = count_messages_tokens(messages, model)
 
         prompt_analysis = self._run_prompt_analysis(
@@ -1814,6 +1836,9 @@ class RequestHandler:
                         elif model_dict.get('context_size'):
                             # Dynamically fetched from provider - use this value
                             model_dict['context_window'] = model_dict['context_size']
+                        elif getattr(provider_config, 'default_context_size', None):
+                            # Provider-level default (applies when no per-model config exists)
+                            model_dict['context_window'] = provider_config.default_context_size
                         else:
                             # Fall back to inference
                             model_dict['context_window'] = self._infer_context_window(model_name, provider_config.type)
@@ -1823,6 +1848,8 @@ class RequestHandler:
                             model_dict['context_length'] = model_config.context_size
                         elif model_dict.get('context_size'):
                             model_dict['context_length'] = model_dict['context_size']
+                        elif getattr(provider_config, 'default_context_size', None):
+                            model_dict['context_length'] = provider_config.default_context_size
                         elif model_dict.get('context_length'):
                             model_dict['context_length'] = model_dict['context_length']
                         
@@ -1914,6 +1941,9 @@ class RequestHandler:
                 elif model_dict.get('context_size'):
                     # Dynamically fetched from provider - use this value
                     model_dict['context_window'] = model_dict['context_size']
+                elif getattr(provider_config, 'default_context_size', None):
+                    # Provider-level default (applies when no per-model config exists)
+                    model_dict['context_window'] = provider_config.default_context_size
                 else:
                     # Fall back to inference
                     model_dict['context_window'] = self._infer_context_window(model_name, provider_config.type)
@@ -1923,6 +1953,8 @@ class RequestHandler:
                     model_dict['context_length'] = model_config.context_size
                 elif model_dict.get('context_size'):
                     model_dict['context_length'] = model_dict['context_size']
+                elif getattr(provider_config, 'default_context_size', None):
+                    model_dict['context_length'] = provider_config.default_context_size
                 elif model_dict.get('context_length'):
                     model_dict['context_length'] = model_dict['context_length']
                 
@@ -3634,6 +3666,18 @@ class RotationHandler:
                     # Update request_data with condensed messages
                     request_data['messages'] = messages
                 
+                # Apply rotation-level default max output tokens when the client didn't set one
+                if request_data.get('max_tokens') is None:
+                    default_max_tokens = get_max_completion_tokens_for_model(
+                        model_name=model_name,
+                        provider_config=None,
+                        rotation_model_config=current_model,
+                        rotation_config=rotation_config,
+                    )
+                    if default_max_tokens:
+                        request_data['max_tokens'] = default_max_tokens
+                        logger.info(f"Applied rotation default max_tokens: {default_max_tokens}")
+
                 # Check for max_request_tokens in rotation model config
                 max_request_tokens = current_model.get('max_request_tokens')
                 if max_request_tokens:
@@ -5087,8 +5131,12 @@ class RotationHandler:
                             found_in_provider = True
                             break
                     if not found_in_provider:
+                        provider_default = getattr(provider_config, 'default_context_size', None)
+                        if provider_default:
+                            # Provider-level default takes precedence over heuristic auto-derivation
+                            model_dict['context_window'] = provider_default
                         # Auto-derive from first model in provider (which has context_size from dynamic fetch)
-                        if getattr(provider_config, "models", []) and len(getattr(provider_config, "models", [])) > 0:
+                        elif getattr(provider_config, "models", []) and len(getattr(provider_config, "models", [])) > 0:
                             first_model = getattr(provider_config, "models", [])[0]
                             if hasattr(first_model, 'context_size') and first_model.context_size:
                                 model_dict['context_window'] = first_model.context_size

aisbf/routes/api.py

@@ -7,6 +7,7 @@ from aisbf.models import ChatCompletionRequest
 from aisbf.database import DatabaseRegistry
 from aisbf.app.model_cache import get_provider_models, _refresh_provider_usage_if_stale, _background_tasks
 from aisbf.studio_services import studio_service
+from aisbf.context import get_context_config_for_model
 
 router = APIRouter()
 _config = None
@@ -205,6 +206,70 @@ async def v1_chat_completions(request: Request, body: ChatCompletionRequest):
     else:
         return await handler.handle_chat_completion(request, provider_id, body_dict)
 
+def _resolve_rotation_context(rotation_config) -> Optional[int]:
+    """Resolve the advertised context window for a rotation.
+
+    Priority: explicit rotation context_length > rotation default_context_size >
+    the largest context window resolvable across the rotation's member models
+    (which honors each provider's per-model and default_context_size). Returns
+    None only if nothing can be resolved.
+    """
+    explicit = getattr(rotation_config, 'context_length', None) or getattr(rotation_config, 'default_context_size', None)
+    if explicit:
+        return explicit
+    best = None
+    for provider in getattr(rotation_config, 'providers', None) or []:
+        try:
+            provider_id = provider.get('provider_id')
+            provider_config = _config.get_provider(provider_id) if provider_id else None
+            for member in provider.get('models', []) or []:
+                ctx = get_context_config_for_model(
+                    model_name=member.get('name'),
+                    provider_config=provider_config,
+                    rotation_model_config=member,
+                    rotation_config=rotation_config,
+                ).get('context_size')
+                if ctx and (best is None or ctx > best):
+                    best = ctx
+        except Exception as e:
+            logger.debug(f"Could not resolve context for rotation member: {e}")
+    return best
+
+
+def _resolve_autoselect_context(autoselect_config) -> Optional[int]:
+    """Resolve the advertised context window for an autoselect.
+
+    Priority: explicit context_length > default_context_size > the largest
+    context window across its available models (resolving rotation or
+    provider/model references). Returns None if nothing can be resolved.
+    """
+    explicit = getattr(autoselect_config, 'context_length', None) or getattr(autoselect_config, 'default_context_size', None)
+    if explicit:
+        return explicit
+    best = None
+    for member in getattr(autoselect_config, 'available_models', None) or []:
+        try:
+            model_id = getattr(member, 'model_id', None) or getattr(member, 'model_name', None)
+            if not model_id:
+                continue
+            ctx = None
+            if model_id in _config.rotations:
+                ctx = _resolve_rotation_context(_config.rotations[model_id])
+            elif '/' in model_id:
+                provider_id, _, model_name = model_id.partition('/')
+                provider_config = _config.get_provider(provider_id)
+                if provider_config:
+                    ctx = get_context_config_for_model(
+                        model_name=model_name,
+                        provider_config=provider_config,
+                    ).get('context_size')
+            if ctx and (best is None or ctx > best):
+                best = ctx
+        except Exception as e:
+            logger.debug(f"Could not resolve context for autoselect member: {e}")
+    return best
+
+
 async def _build_model_list(request: Request) -> dict:
     """Shared model listing logic used by all /models endpoints."""
     all_models = []
@@ -227,12 +292,22 @@ async def _build_model_list(request: Request) -> dict:
             logger.warning(f"Error listing models for provider {provider_id}: {e}")
     for rotation_id, rotation_config in _config.rotations.items():
         try:
-            all_models.append({'id': f"rotation/{rotation_id}", 'object': 'model', 'created': int(time.time()), 'owned_by': 'aisbf-rotation', 'type': 'rotation', 'rotation_id': rotation_id, 'model_name': rotation_config.model_name, 'capabilities': getattr(rotation_config, 'capabilities', [])})
+            entry = {'id': f"rotation/{rotation_id}", 'object': 'model', 'created': int(time.time()), 'owned_by': 'aisbf-rotation', 'type': 'rotation', 'rotation_id': rotation_id, 'model_name': rotation_config.model_name, 'capabilities': getattr(rotation_config, 'capabilities', [])}
+            rotation_ctx = _resolve_rotation_context(rotation_config)
+            if rotation_ctx:
+                entry['context_window'] = rotation_ctx
+                entry['context_length'] = rotation_ctx
+            all_models.append(entry)
         except Exception as e:
             logger.warning(f"Error listing rotation {rotation_id}: {e}")
     for autoselect_id, autoselect_config in _config.autoselect.items():
         try:
-            all_models.append({'id': f"autoselect/{autoselect_id}", 'object': 'model', 'created': int(time.time()), 'owned_by': 'aisbf-autoselect', 'type': 'autoselect', 'autoselect_id': autoselect_id, 'model_name': autoselect_config.model_name, 'description': autoselect_config.description, 'capabilities': getattr(autoselect_config, 'capabilities', [])})
+            entry = {'id': f"autoselect/{autoselect_id}", 'object': 'model', 'created': int(time.time()), 'owned_by': 'aisbf-autoselect', 'type': 'autoselect', 'autoselect_id': autoselect_id, 'model_name': autoselect_config.model_name, 'description': autoselect_config.description, 'capabilities': getattr(autoselect_config, 'capabilities', [])}
+            autoselect_ctx = _resolve_autoselect_context(autoselect_config)
+            if autoselect_ctx:
+                entry['context_window'] = autoselect_ctx
+                entry['context_length'] = autoselect_ctx
+            all_models.append(entry)
         except Exception as e:
             logger.warning(f"Error listing autoselect {autoselect_id}: {e}")
     logger.info(f"Returning {len(all_models)} total models")

aisbf/utils.py

@@ -149,6 +149,7 @@ def get_max_request_tokens_for_model(
     Priority order:
     1. Check rotation model config (if provided)
     2. Check provider models config
+    3. Fall back to provider-level default_max_request_tokens
 
     Args:
         model_name: The model name to look up
@@ -183,11 +184,86 @@ def get_max_request_tokens_for_model(
                 if max_tokens:
                     logger.info(f"Found max_request_tokens in provider model config: {max_tokens}")
                     return max_tokens
+
+    # Finally fall back to the provider-level default (applies when no per-model config exists)
+    if isinstance(provider_config, dict):
+        default_max_tokens = provider_config.get('default_max_request_tokens')
+    else:
+        default_max_tokens = getattr(provider_config, 'default_max_request_tokens', None)
+    if default_max_tokens:
+        logger.info(f"Using provider default_max_request_tokens: {default_max_tokens}")
+        return default_max_tokens
+
+    logger.debug(f"No max_request_tokens configured for model {model_name}")
+    return None
+
+
+def get_max_completion_tokens_for_model(
+    model_name: str,
+    provider_config=None,
+    rotation_model_config: Optional[Dict] = None,
+    rotation_config=None,
+    autoselect_config=None,
+) -> Optional[int]:
+    """
+    Get the max output/completion tokens (max_tokens) for a model from configuration.
+
+    This is the upper bound on generated output, distinct from max_request_tokens
+    (the input budget). Used as a fallback when the client request does not specify
+    max_tokens.
+
+    Priority order:
+    1. Rotation model config 'max_tokens' (if provided)
+    2. Provider per-model config max_tokens
+    3. Provider-level default_max_tokens
+    4. Rotation/autoselect default_max_tokens
+
+    Returns:
+        The max_tokens value, or None if not configured.
+    """
+    import logging
+    logger = logging.getLogger(__name__)
+
+    def _get(cfg, key):
+        if cfg is None:
+            return None
+        if isinstance(cfg, dict):
+            return cfg.get(key)
+        return getattr(cfg, key, None)
+
+    # 1. Rotation model config (highest priority)
+    if rotation_model_config:
+        max_tokens = _get(rotation_model_config, 'max_tokens')
         if max_tokens:
-                    logger.info(f"Found max_request_tokens in provider model config: {max_tokens}")
+            logger.info(f"Found max_tokens in rotation model config: {max_tokens}")
             return max_tokens
 
-    logger.debug(f"No max_request_tokens configured for model {model_name}")
+    # 2. Provider per-model config
+    if isinstance(provider_config, dict):
+        models = provider_config.get('models', [])
+    else:
+        models = getattr(provider_config, 'models', None) or []
+    if models:
+        for model in models:
+            model_name_value = model.name if hasattr(model, 'name') else model.get('name')
+            if model_name_value == model_name:
+                max_tokens = _get(model, 'max_tokens')
+                if max_tokens:
+                    logger.info(f"Found max_tokens in provider model config: {max_tokens}")
+                    return max_tokens
+
+    # 3. Provider-level default, then 4. rotation/autoselect default
+    for cfg, label in (
+        (provider_config, 'provider'),
+        (rotation_config, 'rotation'),
+        (autoselect_config, 'autoselect'),
+    ):
+        default_max_tokens = _get(cfg, 'default_max_tokens')
+        if default_max_tokens:
+            logger.info(f"Using {label} default_max_tokens: {default_max_tokens}")
+            return default_max_tokens
+
+    logger.debug(f"No max_tokens configured for model {model_name}")
     return None
 
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "aisbf"
-version = "0.99.79"
+version = "0.99.81"
 description = "AISBF - AI Service Broker Framework || AI Should Be Free - A modular proxy server for managing multiple AI provider integrations"
 readme = "README.md"
 license = "GPL-3.0-or-later"

setup.py

@@ -106,7 +106,7 @@ class InstallCommand(_install):
 
 setup(
     name="aisbf",
-    version="0.99.79",
+    version="0.99.81",
     author="AISBF Contributors",
     author_email="stefy@nexlab.net",
     description="AISBF - AI Service Broker Framework || AI Should Be Free - A modular proxy server for managing multiple AI provider integrations",