fix(model-info): sync DeepSeek model metadata and add bare-name fallback (#20885)
The provider-prefixed entries (deepseek/deepseek-chat, deepseek/deepseek-reasoner) in the model cost map were missing supports_response_schema, supports_system_messages, supports_native_streaming, supports_parallel_function_calling, and had stale max_input_tokens / max_output_tokens values. This caused supports_response_schema() to return False for DeepSeek models regardless of calling convention. Changes: - Sync deepseek/deepseek-chat and deepseek/deepseek-reasoner entries with their canonical bare-name counterparts in both JSON files - Add a bare-model-name fallback in _supports_factory so that when a provider-prefixed entry is missing a capability field, the bare model entry is consulted before returning False - Fix pre-existing unused-import lint error (F401) in policy_resolve_endpoints.py - Add 14 regression tests covering data consistency, API-level correctness, and the new fallback logic
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@ -10756,14 +10756,22 @@
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"input_cost_per_token": 2.8e-07,
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"input_cost_per_token_cache_hit": 2.8e-08,
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"litellm_provider": "deepseek",
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"max_input_tokens": 128000,
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"max_input_tokens": 131072,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"mode": "chat",
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"output_cost_per_token": 4.2e-07,
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"source": "https://api-docs.deepseek.com/quick_start/pricing",
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"supported_endpoints": [
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"/v1/chat/completions"
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],
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_native_streaming": true,
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"supports_parallel_function_calling": true,
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"supports_prompt_caching": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true
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},
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"deepseek/deepseek-coder": {
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@ -10800,16 +10808,24 @@
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"input_cost_per_token": 2.8e-07,
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"input_cost_per_token_cache_hit": 2.8e-08,
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"litellm_provider": "deepseek",
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"max_input_tokens": 128000,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"max_input_tokens": 131072,
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"max_output_tokens": 65536,
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"max_tokens": 65536,
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"mode": "chat",
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"output_cost_per_token": 4.2e-07,
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"source": "https://api-docs.deepseek.com/quick_start/pricing",
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"supported_endpoints": [
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"/v1/chat/completions"
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],
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_function_calling": false,
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"supports_native_streaming": true,
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"supports_parallel_function_calling": false,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": false
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},
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"deepseek/deepseek-v3": {
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"cache_creation_input_token_cost": 0.0,
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@ -12,7 +12,6 @@ from fastapi import APIRouter, Depends, HTTPException, Query
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from litellm._logging import verbose_proxy_logger
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from litellm.constants import MAX_POLICY_ESTIMATE_IMPACT_ROWS
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.auth.route_checks import RouteChecks
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from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
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from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
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from litellm.proxy.policy_engine.policy_registry import get_policy_registry
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@ -2506,6 +2506,16 @@ def _supports_factory(model: str, custom_llm_provider: Optional[str], key: str)
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if model_info.get(key, False) is True:
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return True
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elif model_info.get(key) is None: # don't check if 'False' explicitly set
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# Fallback: when the provider-prefixed entry (e.g.
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# "deepseek/deepseek-chat") exists but is missing a capability
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# field, check the bare model-name entry (e.g. "deepseek-chat")
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# which may carry the complete metadata. See #20885.
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bare_model_key = _get_model_cost_key(model)
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if bare_model_key is not None:
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bare_entry = litellm.model_cost.get(bare_model_key) or {}
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if bare_entry.get(key, False) is True:
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return True
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supported_by_provider = _supports_provider_info_factory(
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model, custom_llm_provider, key
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)
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@ -10756,14 +10756,22 @@
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"input_cost_per_token": 2.8e-07,
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"input_cost_per_token_cache_hit": 2.8e-08,
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"litellm_provider": "deepseek",
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"max_input_tokens": 128000,
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"max_input_tokens": 131072,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"mode": "chat",
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"output_cost_per_token": 4.2e-07,
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"source": "https://api-docs.deepseek.com/quick_start/pricing",
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"supported_endpoints": [
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"/v1/chat/completions"
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],
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_native_streaming": true,
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"supports_parallel_function_calling": true,
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"supports_prompt_caching": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true
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},
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"deepseek/deepseek-coder": {
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@ -10800,16 +10808,24 @@
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"input_cost_per_token": 2.8e-07,
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"input_cost_per_token_cache_hit": 2.8e-08,
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"litellm_provider": "deepseek",
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"max_input_tokens": 128000,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"max_input_tokens": 131072,
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"max_output_tokens": 65536,
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"max_tokens": 65536,
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"mode": "chat",
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"output_cost_per_token": 4.2e-07,
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"source": "https://api-docs.deepseek.com/quick_start/pricing",
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"supported_endpoints": [
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"/v1/chat/completions"
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],
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_function_calling": false,
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"supports_native_streaming": true,
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"supports_parallel_function_calling": false,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": false
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},
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"deepseek/deepseek-v3": {
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"cache_creation_input_token_cost": 0.0,
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180
tests/test_litellm/test_deepseek_model_metadata.py
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180
tests/test_litellm/test_deepseek_model_metadata.py
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@ -0,0 +1,180 @@
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"""
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Regression tests for #20885 – ``supports_response_schema`` (and related
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capability flags) must be consistent between the bare model-name entry
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(e.g. ``deepseek-chat``) and the provider-prefixed entry
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(e.g. ``deepseek/deepseek-chat``) in the model-cost map.
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The bug caused ``supports_response_schema("deepseek/deepseek-chat")`` to
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return ``False`` even though the canonical ``deepseek-chat`` entry has the
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field set to ``True``.
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"""
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import json
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import os
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import sys
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import litellm
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from litellm.utils import (
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_supports_factory,
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supports_response_schema,
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)
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# ---------------------------------------------------------------------------
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# Data-level tests – verify the JSON files are in sync
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# ---------------------------------------------------------------------------
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def _load_backup_json() -> dict:
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"""Load the backup JSON directly from disk."""
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backup_path = os.path.join(
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os.path.dirname(litellm.__file__),
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"model_prices_and_context_window_backup.json",
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)
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with open(backup_path, encoding="utf-8") as f:
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return json.load(f)
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class TestDeepSeekModelCostEntries:
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"""Verify that provider-prefixed DeepSeek entries contain the same
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capability flags as their bare-name counterparts in the JSON files."""
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def test_deepseek_chat_supports_response_schema_in_backup(self):
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data = _load_backup_json()
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entry = data.get("deepseek/deepseek-chat", {})
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assert entry.get("supports_response_schema") is True
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def test_deepseek_reasoner_supports_response_schema_in_backup(self):
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data = _load_backup_json()
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entry = data.get("deepseek/deepseek-reasoner", {})
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assert entry.get("supports_response_schema") is True
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def test_deepseek_chat_supports_system_messages_in_backup(self):
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data = _load_backup_json()
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entry = data.get("deepseek/deepseek-chat", {})
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assert entry.get("supports_system_messages") is True
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def test_deepseek_reasoner_supports_system_messages_in_backup(self):
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data = _load_backup_json()
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entry = data.get("deepseek/deepseek-reasoner", {})
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assert entry.get("supports_system_messages") is True
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def test_deepseek_chat_max_input_tokens_matches_bare_in_backup(self):
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data = _load_backup_json()
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bare = data.get("deepseek-chat", {})
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prefixed = data.get("deepseek/deepseek-chat", {})
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assert prefixed.get("max_input_tokens") == bare.get("max_input_tokens")
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def test_deepseek_reasoner_max_output_tokens_matches_bare_in_backup(self):
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data = _load_backup_json()
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bare = data.get("deepseek-reasoner", {})
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prefixed = data.get("deepseek/deepseek-reasoner", {})
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assert prefixed.get("max_output_tokens") == bare.get("max_output_tokens")
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def test_main_json_deepseek_chat_supports_response_schema(self):
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main_path = os.path.join(
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os.path.dirname(os.path.dirname(litellm.__file__)),
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"model_prices_and_context_window.json",
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)
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with open(main_path, encoding="utf-8") as f:
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data = json.load(f)
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entry = data.get("deepseek/deepseek-chat", {})
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assert entry.get("supports_response_schema") is True
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def test_main_json_deepseek_reasoner_supports_response_schema(self):
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main_path = os.path.join(
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os.path.dirname(os.path.dirname(litellm.__file__)),
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"model_prices_and_context_window.json",
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)
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with open(main_path, encoding="utf-8") as f:
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data = json.load(f)
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entry = data.get("deepseek/deepseek-reasoner", {})
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assert entry.get("supports_response_schema") is True
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# ---------------------------------------------------------------------------
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# API-level tests – verify supports_response_schema returns True
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# ---------------------------------------------------------------------------
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class TestSupportsResponseSchemaDeepSeek:
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"""All calling conventions for DeepSeek should return True for
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``supports_response_schema``."""
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def test_provider_slash_model(self):
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assert supports_response_schema(model="deepseek/deepseek-chat") is True
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def test_explicit_provider(self):
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assert (
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supports_response_schema(
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model="deepseek-chat", custom_llm_provider="deepseek"
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)
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is True
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)
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def test_reasoner_provider_slash_model(self):
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assert supports_response_schema(model="deepseek/deepseek-reasoner") is True
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def test_reasoner_explicit_provider(self):
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assert (
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supports_response_schema(
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model="deepseek-reasoner", custom_llm_provider="deepseek"
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)
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is True
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)
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# ---------------------------------------------------------------------------
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# Fallback-logic test – bare model entry used when prefixed is incomplete
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# ---------------------------------------------------------------------------
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class TestBareModelFallback:
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"""When a provider-prefixed entry is missing a capability flag, the
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``_supports_factory`` fallback should consult the bare model-name
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entry in ``litellm.model_cost``."""
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def test_fallback_uses_bare_entry(self):
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"""Temporarily remove ``supports_response_schema`` from the prefixed
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entry and verify the fallback still returns True."""
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key = "deepseek/deepseek-chat"
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original = litellm.model_cost.get(key, {}).get("supports_response_schema")
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try:
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# Simulate the pre-fix state: field missing from prefixed entry
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if key in litellm.model_cost:
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litellm.model_cost[key].pop("supports_response_schema", None)
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result = _supports_factory(
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model="deepseek-chat",
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custom_llm_provider="deepseek",
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key="supports_response_schema",
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)
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assert result is True
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finally:
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# Restore
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if key in litellm.model_cost and original is not None:
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litellm.model_cost[key]["supports_response_schema"] = original
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def test_no_fallback_when_explicitly_false(self):
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"""If the prefixed entry explicitly sets a capability to ``False``,
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the fallback must NOT override it."""
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key = "deepseek/deepseek-reasoner"
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# After the data fix, deepseek/deepseek-reasoner has
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# supports_function_calling=false (matching the bare entry).
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# Explicitly set it to False to test the guard.
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original = litellm.model_cost.get(key, {}).get("supports_function_calling")
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try:
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if key in litellm.model_cost:
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litellm.model_cost[key]["supports_function_calling"] = False
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result = _supports_factory(
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model="deepseek-reasoner",
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custom_llm_provider="deepseek",
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key="supports_function_calling",
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)
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assert result is False
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finally:
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if key in litellm.model_cost and original is not None:
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litellm.model_cost[key]["supports_function_calling"] = original
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