two version of R2R are hereHEADmaster

1 files changed, 190 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/litellm/router_strategy/base_routing_strategy.py b/.venv/lib/python3.12/site-packages/litellm/router_strategy/base_routing_strategy.py
new file mode 100644
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+++ b/.venv/lib/python3.12/site-packages/litellm/router_strategy/base_routing_strategy.py
@@ -0,0 +1,190 @@
+"""
+Base class across routing strategies to abstract commmon functions like batch incrementing redis
+"""
+
+import asyncio
+import threading
+from abc import ABC
+from typing import List, Optional, Set, Union
+
+from litellm._logging import verbose_router_logger
+from litellm.caching.caching import DualCache
+from litellm.caching.redis_cache import RedisPipelineIncrementOperation
+from litellm.constants import DEFAULT_REDIS_SYNC_INTERVAL
+
+
+class BaseRoutingStrategy(ABC):
+    def __init__(
+        self,
+        dual_cache: DualCache,
+        should_batch_redis_writes: bool,
+        default_sync_interval: Optional[Union[int, float]],
+    ):
+        self.dual_cache = dual_cache
+        self.redis_increment_operation_queue: List[RedisPipelineIncrementOperation] = []
+        if should_batch_redis_writes:
+            try:
+                # Try to get existing event loop
+                loop = asyncio.get_event_loop()
+                if loop.is_running():
+                    # If loop exists and is running, create task in existing loop
+                    loop.create_task(
+                        self.periodic_sync_in_memory_spend_with_redis(
+                            default_sync_interval=default_sync_interval
+                        )
+                    )
+                else:
+                    self._create_sync_thread(default_sync_interval)
+            except RuntimeError:  # No event loop in current thread
+                self._create_sync_thread(default_sync_interval)
+
+        self.in_memory_keys_to_update: set[str] = (
+            set()
+        )  # Set with max size of 1000 keys
+
+    async def _increment_value_in_current_window(
+        self, key: str, value: Union[int, float], ttl: int
+    ):
+        """
+        Increment spend within existing budget window
+
+        Runs once the budget start time exists in Redis Cache (on the 2nd and subsequent requests to the same provider)
+
+        - Increments the spend in memory cache (so spend instantly updated in memory)
+        - Queues the increment operation to Redis Pipeline (using batched pipeline to optimize performance. Using Redis for multi instance environment of LiteLLM)
+        """
+        result = await self.dual_cache.in_memory_cache.async_increment(
+            key=key,
+            value=value,
+            ttl=ttl,
+        )
+        increment_op = RedisPipelineIncrementOperation(
+            key=key,
+            increment_value=value,
+            ttl=ttl,
+        )
+        self.redis_increment_operation_queue.append(increment_op)
+        self.add_to_in_memory_keys_to_update(key=key)
+        return result
+
+    async def periodic_sync_in_memory_spend_with_redis(
+        self, default_sync_interval: Optional[Union[int, float]]
+    ):
+        """
+        Handler that triggers sync_in_memory_spend_with_redis every DEFAULT_REDIS_SYNC_INTERVAL seconds
+
+        Required for multi-instance environment usage of provider budgets
+        """
+        default_sync_interval = default_sync_interval or DEFAULT_REDIS_SYNC_INTERVAL
+        while True:
+            try:
+                await self._sync_in_memory_spend_with_redis()
+                await asyncio.sleep(
+                    default_sync_interval
+                )  # Wait for DEFAULT_REDIS_SYNC_INTERVAL seconds before next sync
+            except Exception as e:
+                verbose_router_logger.error(f"Error in periodic sync task: {str(e)}")
+                await asyncio.sleep(
+                    default_sync_interval
+                )  # Still wait DEFAULT_REDIS_SYNC_INTERVAL seconds on error before retrying
+
+    async def _push_in_memory_increments_to_redis(self):
+        """
+        How this works:
+        - async_log_success_event collects all provider spend increments in `redis_increment_operation_queue`
+        - This function pushes all increments to Redis in a batched pipeline to optimize performance
+
+        Only runs if Redis is initialized
+        """
+        try:
+            if not self.dual_cache.redis_cache:
+                return  # Redis is not initialized
+
+            verbose_router_logger.debug(
+                "Pushing Redis Increment Pipeline for queue: %s",
+                self.redis_increment_operation_queue,
+            )
+            if len(self.redis_increment_operation_queue) > 0:
+                asyncio.create_task(
+                    self.dual_cache.redis_cache.async_increment_pipeline(
+                        increment_list=self.redis_increment_operation_queue,
+                    )
+                )
+
+            self.redis_increment_operation_queue = []
+
+        except Exception as e:
+            verbose_router_logger.error(
+                f"Error syncing in-memory cache with Redis: {str(e)}"
+            )
+            self.redis_increment_operation_queue = []
+
+    def add_to_in_memory_keys_to_update(self, key: str):
+        self.in_memory_keys_to_update.add(key)
+
+    def get_in_memory_keys_to_update(self) -> Set[str]:
+        return self.in_memory_keys_to_update
+
+    def reset_in_memory_keys_to_update(self):
+        self.in_memory_keys_to_update = set()
+
+    async def _sync_in_memory_spend_with_redis(self):
+        """
+        Ensures in-memory cache is updated with latest Redis values for all provider spends.
+
+        Why Do we need this?
+        - Optimization to hit sub 100ms latency. Performance was impacted when redis was used for read/write per request
+        - Use provider budgets in multi-instance environment, we use Redis to sync spend across all instances
+
+        What this does:
+        1. Push all provider spend increments to Redis
+        2. Fetch all current provider spend from Redis to update in-memory cache
+        """
+
+        try:
+            # No need to sync if Redis cache is not initialized
+            if self.dual_cache.redis_cache is None:
+                return
+
+            # 1. Push all provider spend increments to Redis
+            await self._push_in_memory_increments_to_redis()
+
+            # 2. Fetch all current provider spend from Redis to update in-memory cache
+            cache_keys = self.get_in_memory_keys_to_update()
+
+            cache_keys_list = list(cache_keys)
+
+            # Batch fetch current spend values from Redis
+            redis_values = await self.dual_cache.redis_cache.async_batch_get_cache(
+                key_list=cache_keys_list
+            )
+
+            # Update in-memory cache with Redis values
+            if isinstance(redis_values, dict):  # Check if redis_values is a dictionary
+                for key, value in redis_values.items():
+                    if value is not None:
+                        await self.dual_cache.in_memory_cache.async_set_cache(
+                            key=key, value=float(value)
+                        )
+                        verbose_router_logger.debug(
+                            f"Updated in-memory cache for {key}: {value}"
+                        )
+
+            self.reset_in_memory_keys_to_update()
+        except Exception as e:
+            verbose_router_logger.exception(
+                f"Error syncing in-memory cache with Redis: {str(e)}"
+            )
+
+    def _create_sync_thread(self, default_sync_interval):
+        """Helper method to create a new thread for periodic sync"""
+        thread = threading.Thread(
+            target=asyncio.run,
+            args=(
+                self.periodic_sync_in_memory_spend_with_redis(
+                    default_sync_interval=default_sync_interval
+                ),
+            ),
+            daemon=True,
+        )
+        thread.start()