feat: add create_http_options to ContextCacheConfig for cache creation timeout

src/google/adk/agents/context_cache_config.py

@@ -72,6 +72,16 @@ class ContextCacheConfig(BaseModel):
       ),
   )
 
+  async_creation: bool = Field(
+      default=False,
+      description=(
+          "When True, cache creation is performed in the background instead of"
+          " blocking the current request. The current request proceeds uncached"
+          " and the cache is available for the next request. This eliminates"
+          " latency spikes from slow CachedContent.create() API calls."
+      ),
+  )
+
   @property
   def ttl_string(self) -> str:
     """Get TTL as string format for cache creation."""
@@ -81,5 +91,6 @@ def __str__(self) -> str:
     """String representation for logging."""
     return (
         f"ContextCacheConfig(cache_intervals={self.cache_intervals}, "
-        f"ttl={self.ttl_seconds}s, min_tokens={self.min_tokens})"
+        f"ttl={self.ttl_seconds}s, min_tokens={self.min_tokens}, "
+        f"async_creation={self.async_creation})"
     )

src/google/adk/models/gemini_context_cache_manager.py

@@ -16,6 +16,7 @@
 
 from __future__ import annotations
 
+import asyncio
 import hashlib
 import json
 import logging
@@ -32,6 +33,72 @@
 
 logger = logging.getLogger("google_adk." + __name__)
 
+# Background cache task registry for async_creation mode.
+# Key: (model, fingerprint, contents_count)
+# Value: asyncio.Task that resolves to Optional[CacheMetadata]
+_pending_cache_tasks: dict[tuple[str, str, int], asyncio.Task] = {}
+
+
+def _cache_task_key(
+    model: str, fingerprint: str, contents_count: int
+) -> tuple[str, str, int]:
+  """Build a registry key for a pending cache task."""
+  return (model, fingerprint, contents_count)
+
+
+def _check_pending_cache(
+    key: tuple[str, str, int],
+) -> Optional[CacheMetadata]:
+  """Check if a background cache task completed successfully.
+
+  Returns the CacheMetadata if the task is done and succeeded,
+  None if the task is still running or failed.
+  Cleans up the registry entry in either done case.
+  """
+  task = _pending_cache_tasks.get(key)
+  if task is None:
+    return None
+
+  if not task.done():
+    return None
+
+  # Task is done - remove from registry regardless of outcome
+  del _pending_cache_tasks[key]
+
+  if task.cancelled():
+    logger.warning("Background cache task was cancelled for key %s", key)
+    return None
+
+  exc = task.exception()
+  if exc is not None:
+    logger.warning("Background cache task failed for key %s: %s", key, exc)
+    return None
+
+  return task.result()
+
+
+def _cleanup_stale_tasks() -> None:
+  """Remove completed tasks that have been sitting unclaimed."""
+  to_remove = []
+  for key, task in _pending_cache_tasks.items():
+    if not task.done():
+      continue
+    result = None
+    try:
+      if not task.cancelled():
+        exc = task.exception()
+        if exc is None:
+          result = task.result()
+    except Exception:
+      pass
+    if result is None or (
+        result.expire_time is not None and time.time() >= result.expire_time
+    ):
+      to_remove.append(key)
+  for key in to_remove:
+    del _pending_cache_tasks[key]
+
+
 if TYPE_CHECKING:
   from google.genai import Client
 
@@ -62,13 +129,55 @@ async def handle_context_caching(
     the cache to the request by setting cached_content and removing cached
     contents from the request.
 
+    When async_creation is enabled in the cache config, cache creation is
+    performed in the background instead of blocking the current request.
+
     Args:
         llm_request: Request that may contain cache config and metadata.
                     Modified in-place to use the cache.
 
     Returns:
         Cache metadata to be included in response, or None if caching failed
     """
+    async_creation = (
+        llm_request.cache_config
+        and llm_request.cache_config.async_creation
+    )
+
+    # Opportunistically clean up stale background tasks
+    if async_creation:
+      _cleanup_stale_tasks()
+
+    # Check for completed background cache creation (async_creation mode)
+    if (
+        async_creation
+        and llm_request.cache_metadata
+        and llm_request.cache_metadata.cache_name is None
+    ):
+      fp = llm_request.cache_metadata.fingerprint
+      cc = llm_request.cache_metadata.contents_count
+      model = llm_request.model or ""
+      key = _cache_task_key(model, fp, cc)
+      bg_result = _check_pending_cache(key)
+      if bg_result and bg_result.cache_name:
+        if time.time() < bg_result.expire_time:
+          logger.info(
+              "Using background-created cache: %s",
+              bg_result.cache_name,
+          )
+          self._apply_cache_to_request(
+              llm_request,
+              bg_result.cache_name,
+              bg_result.contents_count,
+          )
+          return bg_result
+        else:
+          logger.info(
+              "Background-created cache already expired: %s",
+              bg_result.cache_name,
+          )
+          await self.cleanup_cache(bg_result.cache_name)
+
     # Check if we have existing cache metadata and if it's valid
     if llm_request.cache_metadata:
       logger.debug(
@@ -107,17 +216,37 @@ async def handle_context_caching(
 
         # If fingerprints match, create new cache (expired but same content)
         if current_fingerprint == old_cache_metadata.fingerprint:
-          logger.debug(
-              "Fingerprints match after invalidation, creating new cache"
-          )
-          cache_metadata = await self._create_new_cache_with_contents(
-              llm_request, cache_contents_count
-          )
-          if cache_metadata:
-            self._apply_cache_to_request(
-                llm_request, cache_metadata.cache_name, cache_contents_count
+          if async_creation:
+            # Launch background cache creation and proceed uncached
+            key = _cache_task_key(
+                llm_request.model or "",
+                current_fingerprint,
+                cache_contents_count,
+            )
+            self._launch_background_cache(
+                key, llm_request, cache_contents_count
+            )
+            logger.debug(
+                "Async cache creation launched, proceeding uncached"
             )
-            return cache_metadata
+            return CacheMetadata(
+                fingerprint=current_fingerprint,
+                contents_count=cache_contents_count,
+            )
+          else:
+            logger.debug(
+                "Fingerprints match after invalidation, creating new cache"
+            )
+            cache_metadata = await self._create_new_cache_with_contents(
+                llm_request, cache_contents_count
+            )
+            if cache_metadata:
+              self._apply_cache_to_request(
+                  llm_request,
+                  cache_metadata.cache_name,
+                  cache_contents_count,
+              )
+              return cache_metadata
 
         # Fingerprints don't match - recalculate with total contents
         logger.debug(
@@ -127,6 +256,18 @@ async def handle_context_caching(
         fingerprint_for_all = self._generate_cache_fingerprint(
             llm_request, total_contents_count
         )
+
+        if async_creation and total_contents_count > 0:
+          # Launch background cache creation for the new fingerprint
+          key = _cache_task_key(
+              llm_request.model or "",
+              fingerprint_for_all,
+              total_contents_count,
+          )
+          self._launch_background_cache(
+              key, llm_request, total_contents_count
+          )
+
         return CacheMetadata(
             fingerprint=fingerprint_for_all,
             contents_count=total_contents_count,
@@ -146,6 +287,90 @@ async def handle_context_caching(
         contents_count=total_contents_count,
     )
 
+  def _launch_background_cache(
+      self,
+      key: tuple[str, str, int],
+      llm_request: LlmRequest,
+      contents_count: int,
+  ) -> None:
+    """Launch cache creation as a background asyncio task.
+
+    Creates a snapshot of the request data needed for cache creation,
+    then fires off the creation in a background task.
+
+    Args:
+        key: Registry key for the pending task
+        llm_request: Request to create cache for (will be snapshotted)
+        contents_count: Number of contents to cache
+    """
+    if key in _pending_cache_tasks:
+      task = _pending_cache_tasks[key]
+      if not task.done():
+        logger.debug(
+            "Background cache creation already in progress for key %s",
+            key,
+        )
+        return
+      del _pending_cache_tasks[key]
+
+    # Snapshot the request data before it gets mutated
+    snapshot = self._snapshot_request(llm_request, contents_count)
+    genai_client = self.genai_client
+
+    async def _do_create() -> Optional[CacheMetadata]:
+      mgr = GeminiContextCacheManager(genai_client)
+      return await mgr._create_new_cache_with_contents(
+          snapshot, contents_count
+      )
+
+    loop = asyncio.get_running_loop()
+    task = loop.create_task(
+        _do_create(),
+        name=f"bg-cache-{key[1][:8]}",
+    )
+    _pending_cache_tasks[key] = task
+    logger.info("Launched background cache creation for key %s", key)
+
+  def _snapshot_request(
+      self,
+      llm_request: LlmRequest,
+      contents_count: int,
+  ) -> LlmRequest:
+    """Create a minimal snapshot of the request for background cache creation.
+
+    Captures only the fields that _create_gemini_cache needs, so the
+    background task is not affected by mutations to the original request.
+
+    Args:
+        llm_request: Original request to snapshot
+        contents_count: Number of contents to include
+
+    Returns:
+        A new LlmRequest with just the fields needed for cache creation
+    """
+    config = types.GenerateContentConfig(
+        system_instruction=(
+            llm_request.config.system_instruction
+            if llm_request.config
+            else None
+        ),
+        tools=(
+            llm_request.config.tools if llm_request.config else None
+        ),
+        tool_config=(
+            llm_request.config.tool_config if llm_request.config else None
+        ),
+    )
+    return LlmRequest(
+        model=llm_request.model,
+        contents=list(llm_request.contents[:contents_count]),
+        config=config,
+        cache_config=llm_request.cache_config,
+        cacheable_contents_token_count=(
+            llm_request.cacheable_contents_token_count
+        ),
+    )
+
   def _find_count_of_contents_to_cache(
       self, contents: list[types.Content]
   ) -> int:

tests/unittests/agents/test_context_cache_config.py

@@ -106,15 +106,15 @@ def test_str_representation(self):
     )
 
     expected = (
-        "ContextCacheConfig(cache_intervals=15, ttl=3600s, min_tokens=1024)"
+        "ContextCacheConfig(cache_intervals=15, ttl=3600s, min_tokens=1024, async_creation=False)"
     )
     assert str(config) == expected
 
   def test_str_representation_defaults(self):
     """Test string representation with default values."""
     config = ContextCacheConfig()
 
-    expected = "ContextCacheConfig(cache_intervals=10, ttl=1800s, min_tokens=0)"
+    expected = "ContextCacheConfig(cache_intervals=10, ttl=1800s, min_tokens=0, async_creation=False)"
     assert str(config) == expected
 
   def test_pydantic_model_validation(self):