Merge pull request #16590 from Chesars/refactor/remove-backup-file-dry-principle

refactor: Remove redundant backup file

.circleci/config.yml

@@ -3555,9 +3555,9 @@ jobs:
       - checkout
 
       - run:
-          name: Copy model_prices_and_context_window File to model_prices_and_context_window_backup
+          name: Copy model_prices_and_context_window File to litellm package
           command: |
-            cp model_prices_and_context_window.json litellm/model_prices_and_context_window_backup.json
+            cp model_prices_and_context_window.json litellm/model_prices_and_context_window.json
 
       - run:
           name: Checkout code

.github/workflows/simple_pypi_publish.yml

@@ -48,7 +48,7 @@ jobs:
 
       - name: Copy model prices file
         run: |
-          cp model_prices_and_context_window.json litellm/model_prices_and_context_window_backup.json
+          cp model_prices_and_context_window.json litellm/model_prices_and_context_window.json
 
       - name: Build package
         run: |

.gitignore

@@ -101,4 +101,5 @@ STABILIZATION_TODO.md
 **/test-results
 **/playwright-report
 **/*.storageState.json
-**/coverage
+**/coverage
+litellm/model_prices_and_context_window.json

.pre-commit-config.yaml

@@ -32,9 +32,3 @@ repos:
     hooks:
       - id: poetry-check
         files: ^(pyproject.toml|litellm-proxy-extras/pyproject.toml)$
--   repo: local
-    hooks:
-    -   id: check-files-match
-        name: Check if files match
-        entry: python3 ci_cd/check_files_match.py
-        language: system

ci_cd/check_files_match.py

@@ -1,32 +0,0 @@
-import sys
-import filecmp
-import shutil
-
-
-def main(argv=None):
-    print(
-        "Comparing model_prices_and_context_window and litellm/model_prices_and_context_window_backup.json files... checking if they match."
-    )
-
-    file1 = "model_prices_and_context_window.json"
-    file2 = "litellm/model_prices_and_context_window_backup.json"
-
-    cmp_result = filecmp.cmp(file1, file2, shallow=False)
-
-    if cmp_result:
-        print(f"Passed! Files {file1} and {file2} match.")
-        return 0
-    else:
-        print(
-            f"Failed! Files {file1} and {file2} do not match. Copying content from {file1} to {file2}."
-        )
-        copy_content(file1, file2)
-        return 1
-
-
-def copy_content(source, destination):
-    shutil.copy2(source, destination)
-
-
-if __name__ == "__main__":
-    sys.exit(main())

litellm/litellm_core_utils/get_model_cost_map.py

@@ -10,6 +10,8 @@ export LITELLM_LOCAL_MODEL_COST_MAP=True
 
 import json
 import os
+from pathlib import Path
+
 from importlib.resources import files
 from typing import Dict, List, Optional
 
@@ -26,30 +28,43 @@ class GetModelCostMap:
     """
     Handles fetching, validating, and loading the model cost map.
 
-    Only the backup model *count* is cached (a single int). The full
-    backup dict is never held in memory — it is only parsed when it
+    Only the local model *count* is cached (a single int). The full
+    local dict is never held in memory — it is only parsed when it
     needs to be *returned* as a fallback.
     """
 
-    _backup_model_count: int = -1  # -1 = not yet loaded
+    _local_model_count: int = -1  # -1 = not yet loaded
 
     @staticmethod
     def load_local_model_cost_map() -> dict:
-        """Load the local backup model cost map bundled with the package."""
-        content = json.loads(
-            files("litellm")
-            .joinpath("model_prices_and_context_window_backup.json")
-            .read_text(encoding="utf-8")
-        )
-        return content
+        """Load the local model cost map.
+
+        Tries to load from:
+        1. Package resources (production, after pip install)
+        2. Project root (development)
+        """
+        try:
+            content = json.loads(
+                files("litellm")
+                .joinpath("model_prices_and_context_window.json")
+                .read_text(encoding="utf-8")
+            )
+            return content
+        except (FileNotFoundError, ModuleNotFoundError):
+            pass
+
+        current_dir = Path(__file__).parent.parent.parent
+        model_cost_map_path = current_dir / "model_prices_and_context_window.json"
+        with open(model_cost_map_path, "r") as f:
+            return json.load(f)
 
     @classmethod
-    def _get_backup_model_count(cls) -> int:
-        """Return the number of models in the local backup (cached int)."""
-        if cls._backup_model_count < 0:
-            backup = cls.load_local_model_cost_map()
-            cls._backup_model_count = len(backup)
-        return cls._backup_model_count
+    def _get_local_model_count(cls) -> int:
+        """Return the number of models in the local model cost map (cached int)."""
+        if cls._local_model_count < 0:
+            local = cls.load_local_model_cost_map()
+            cls._local_model_count = len(local)
+        return cls._local_model_count
 
     @staticmethod
     def _check_is_valid_dict(fetched_map: dict) -> bool:
@@ -57,7 +72,7 @@ class GetModelCostMap:
         if not isinstance(fetched_map, dict):
             verbose_logger.warning(
                 "LiteLLM: Fetched model cost map is not a dict (type=%s). "
-                "Falling back to local backup.",
+                "Falling back to local model cost map.",
                 type(fetched_map).__name__,
             )
             return False
@@ -65,7 +80,7 @@ class GetModelCostMap:
         if len(fetched_map) == 0:
             verbose_logger.warning(
                 "LiteLLM: Fetched model cost map is empty. "
-                "Falling back to local backup.",
+                "Falling back to local model cost map.",
             )
             return False
 
@@ -75,34 +90,34 @@ class GetModelCostMap:
     def _check_model_count_not_reduced(
         cls,
         fetched_map: dict,
-        backup_model_count: int,
+        local_model_count: int,
         min_model_count: int = MODEL_COST_MAP_MIN_MODEL_COUNT,
         max_shrink_ratio: float = MODEL_COST_MAP_MAX_SHRINK_RATIO,
     ) -> bool:
-        """Check 2: model count has not reduced significantly vs backup."""
+        """Check 2: model count has not reduced significantly vs local."""
         fetched_count = len(fetched_map)
 
         if fetched_count < min_model_count:
             verbose_logger.warning(
                 "LiteLLM: Fetched model cost map has only %d models (minimum=%d). "
                 "This may indicate a corrupted upstream file. "
-                "Falling back to local backup.",
+                "Falling back to local model cost map.",
                 fetched_count,
                 min_model_count,
             )
             return False
 
         if (
-            backup_model_count > 0
-            and fetched_count < backup_model_count * max_shrink_ratio
+            local_model_count > 0
+            and fetched_count < local_model_count * max_shrink_ratio
         ):
             verbose_logger.warning(
                 "LiteLLM: Fetched model cost map shrank significantly "
-                "(fetched=%d, backup=%d, threshold=%.0f%%). "
+                "(fetched=%d, local=%d, threshold=%.0f%%). "
                 "This may indicate a corrupted upstream file. "
-                "Falling back to local backup.",
+                "Falling back to local model cost map.",
                 fetched_count,
-                backup_model_count,
+                local_model_count,
                 max_shrink_ratio * 100,
             )
             return False
@@ -113,7 +128,7 @@ class GetModelCostMap:
     def validate_model_cost_map(
         cls,
         fetched_map: dict,
-        backup_model_count: int,
+        local_model_count: int,
         min_model_count: int = MODEL_COST_MAP_MIN_MODEL_COUNT,
         max_shrink_ratio: float = MODEL_COST_MAP_MAX_SHRINK_RATIO,
     ) -> bool:
@@ -125,7 +140,7 @@ class GetModelCostMap:
         Checks:
         1. ``_check_is_valid_dict`` -- fetched map is a non-empty dict.
         2. ``_check_model_count_not_reduced`` -- model count meets minimum
-           and has not shrunk >``max_shrink_ratio`` vs backup.
+           and has not shrunk >``max_shrink_ratio`` vs local.
 
         Returns True if all checks pass, False otherwise.
         """
@@ -134,7 +149,7 @@ class GetModelCostMap:
 
         if not cls._check_model_count_not_reduced(
             fetched_map=fetched_map,
-            backup_model_count=backup_model_count,
+            local_model_count=local_model_count,
             min_model_count=min_model_count,
             max_shrink_ratio=max_shrink_ratio,
         ):
@@ -245,12 +260,12 @@ def get_model_cost_map(url: str) -> dict:
     """
     Public entry point — returns the model cost map dict.
 
-    1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local backup only.
+    1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local model cost map only.
     2. Otherwise fetches from ``url``, validates integrity, and falls back
-       to the local backup on any failure.
+       to the local model cost map on any failure.
 
-    Only the backup model count is cached (a single int) for validation.
-    The full backup dict is only parsed when it must be *returned* as a
+    Only the local model count is cached (a single int) for validation.
+    The full local dict is only parsed when it must be *returned* as a
     fallback — it is never held in memory long-term.
     """
     # Note: can't use get_secret_bool here — this runs during litellm.__init__
@@ -270,7 +285,7 @@ def get_model_cost_map(url: str) -> dict:
     except Exception as e:
         verbose_logger.warning(
             "LiteLLM: Failed to fetch remote model cost map from %s: %s. "
-            "Falling back to local backup.",
+            "Falling back to local model cost map.",
             url,
             str(e),
         )
@@ -281,11 +296,11 @@ def get_model_cost_map(url: str) -> dict:
     # Validate using cached count (cheap int comparison, no file I/O)
     if not GetModelCostMap.validate_model_cost_map(
         fetched_map=content,
-        backup_model_count=GetModelCostMap._get_backup_model_count(),
+        local_model_count=GetModelCostMap._get_local_model_count(),
     ):
         verbose_logger.warning(
             "LiteLLM: Fetched model cost map failed integrity check. "
-            "Using local backup instead. url=%s",
+            "Using local model cost map instead. url=%s",
             url,
         )
         _cost_map_source_info.source = "local"

litellm/proxy/_experimental/out/__next.__PAGE__.txt

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 client = openai.AzureOpenAI(
 	api_key="${v||"YOUR_LITELLM_API_KEY"}",