feat: read prompt caching cache_ttl from config

- Load prompt_caching.cache_ttl in AIAgent (5m default, 1h opt-in)
- Document DEFAULT_CONFIG and developer guide example
- Add unit tests for default, 1h, and invalid TTL fallback

Made-with: Cursor

hermes_cli/config.py

@@ -521,6 +521,12 @@ DEFAULT_CONFIG = {
 
     },
 
+    # Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
+    # cache_ttl must be "5m" or "1h" (Anthropic-supported tiers); other values are ignored.
+    "prompt_caching": {
+        "cache_ttl": "5m",
+    },
+
     # AWS Bedrock provider configuration.
     # Only used when model.provider is "bedrock".
     "bedrock": {

run_agent.py

@@ -1036,8 +1036,21 @@ class AIAgent:
         self._use_prompt_caching, self._use_native_cache_layout = (
             self._anthropic_prompt_cache_policy()
         )
-        self._cache_ttl = "5m"  # Default 5-minute TTL (1.25x write cost)
+        # Anthropic supports "5m" (default) and "1h" cache TTL tiers. Read from
-        
+        # config.yaml under prompt_caching.cache_ttl; unknown values keep "5m".
+        # 1h tier costs 2x on write vs 1.25x for 5m, but amortizes across long
+        # sessions with >5-minute pauses between turns (#14971).
+        self._cache_ttl = "5m"
+        try:
+            from hermes_cli.config import load_config as _load_pc_cfg
+
+            _pc_cfg = _load_pc_cfg().get("prompt_caching", {}) or {}
+            _ttl = _pc_cfg.get("cache_ttl", "5m")
+            if _ttl in ("5m", "1h"):
+                self._cache_ttl = _ttl
+        except Exception:
+            pass
+
         # Iteration budget: the LLM is only notified when it actually exhausts
         # the iteration budget (api_call_count >= max_iterations).  At that
         # point we inject ONE message, allow one final API call, and if the

tests/run_agent/test_run_agent.py

@@ -685,6 +685,66 @@ class TestInit:
             assert a.api_mode == "anthropic_messages"
             assert a._use_prompt_caching is True
 
+    def test_prompt_caching_cache_ttl_defaults_without_config(self):
+        """cache_ttl stays 5m when prompt_caching is absent from config."""
+        with (
+            patch("run_agent.get_tool_definitions", return_value=[]),
+            patch("run_agent.check_toolset_requirements", return_value={}),
+            patch("run_agent.OpenAI"),
+            patch("hermes_cli.config.load_config", return_value={}),
+        ):
+            a = AIAgent(
+                api_key="test-k...7890",
+                model="anthropic/claude-sonnet-4-20250514",
+                base_url="https://openrouter.ai/api/v1",
+                quiet_mode=True,
+                skip_context_files=True,
+                skip_memory=True,
+            )
+            assert a._cache_ttl == "5m"
+
+    def test_prompt_caching_cache_ttl_custom_1h(self):
+        """prompt_caching.cache_ttl 1h is applied when present in config."""
+        with (
+            patch("run_agent.get_tool_definitions", return_value=[]),
+            patch("run_agent.check_toolset_requirements", return_value={}),
+            patch("run_agent.OpenAI"),
+            patch(
+                "hermes_cli.config.load_config",
+                return_value={"prompt_caching": {"cache_ttl": "1h"}},
+            ),
+        ):
+            a = AIAgent(
+                api_key="test-k...7890",
+                model="anthropic/claude-sonnet-4-20250514",
+                base_url="https://openrouter.ai/api/v1",
+                quiet_mode=True,
+                skip_context_files=True,
+                skip_memory=True,
+            )
+            assert a._cache_ttl == "1h"
+
+    def test_prompt_caching_cache_ttl_invalid_falls_back(self):
+        """Non-Anthropic TTL values keep default 5m without raising."""
+        with (
+            patch("run_agent.get_tool_definitions", return_value=[]),
+            patch("run_agent.check_toolset_requirements", return_value={}),
+            patch("run_agent.OpenAI"),
+            patch(
+                "hermes_cli.config.load_config",
+                return_value={"prompt_caching": {"cache_ttl": "30m"}},
+            ),
+        ):
+            a = AIAgent(
+                api_key="test-k...7890",
+                model="anthropic/claude-sonnet-4-20250514",
+                base_url="https://openrouter.ai/api/v1",
+                quiet_mode=True,
+                skip_context_files=True,
+                skip_memory=True,
+            )
+            assert a._cache_ttl == "5m"
+
     def test_valid_tool_names_populated(self):
         """valid_tool_names should contain names from loaded tools."""
         tools = _make_tool_defs("web_search", "terminal")

website/docs/developer-guide/context-compression-and-caching.md

@@ -332,9 +332,9 @@ Prompt caching is automatically enabled when:
 - The provider supports `cache_control` (native Anthropic API or OpenRouter)
 
 ```yaml
-# config.yaml — TTL is configurable
+# config.yaml — TTL is configurable (must be "5m" or "1h")
-model:
+prompt_caching:
-  cache_ttl: "5m"   # "5m" or "1h"
+  cache_ttl: "5m"
 ```
 
 The CLI shows caching status at startup: