diff --git a/kong/plugins/prometheus/exporter.lua b/kong/plugins/prometheus/exporter.lua
index 4fef171f2ab7..c0dffdf1b26c 100644
--- a/kong/plugins/prometheus/exporter.lua
+++ b/kong/plugins/prometheus/exporter.lua
@@ -151,15 +151,15 @@ local function init()
   if ai_request then
     metrics.ai_llm_requests = prometheus:counter("ai_llm_requests_total",
                                         "AI requests total per ai_provider in Kong",
-                                        {"ai_provider", "ai_model", "cache", "vector_db", "embeddings_provider", "embeddings_model", "workspace"})
+                                        {"ai_provider", "ai_model", "cache_status", "vector_db", "embeddings_provider", "embeddings_model", "workspace"})
 
     metrics.ai_llm_cost = prometheus:counter("ai_llm_cost_total",
                                         "AI requests cost per ai_provider/cache in Kong",
-                                        {"ai_provider", "ai_model", "cache", "vector_db", "embeddings_provider", "embeddings_model", "workspace"})
+                                        {"ai_provider", "ai_model", "cache_status", "vector_db", "embeddings_provider", "embeddings_model", "workspace"})
 
     metrics.ai_llm_tokens = prometheus:counter("ai_llm_tokens_total",
                                         "AI requests cost per ai_provider/cache in Kong",
-                                        {"ai_provider", "ai_model", "cache", "vector_db", "embeddings_provider", "embeddings_model", "token_type", "workspace"})
+                                        {"ai_provider", "ai_model", "cache_status", "vector_db", "embeddings_provider", "embeddings_model", "token_type", "workspace"})
   end
 
   -- Hybrid mode status
diff --git a/spec/03-plugins/26-prometheus/02-access_spec.lua b/spec/03-plugins/26-prometheus/02-access_spec.lua
index f614e9b87a00..3ad7f9f54a66 100644
--- a/spec/03-plugins/26-prometheus/02-access_spec.lua
+++ b/spec/03-plugins/26-prometheus/02-access_spec.lua
@@ -764,13 +764,13 @@ describe("Plugin: prometheus (access) AI metrics", function()
     assert.matches('kong_nginx_metric_errors_total 0', body, nil, true)
     assert.matches('http_requests_total{service="empty_service",route="http-route",code="200",source="service",workspace="default",consumer=""} 1', body, nil, true)
     
-    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 1', body, nil, true)
+    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 1', body, nil, true)
 
-    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00037', body, nil, true)
+    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00037', body, nil, true)
 
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="completion_tokens",workspace="default"} 12', body, nil, true)
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="prompt_tokens",workspace="default"} 25', body, nil, true)
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="total_tokens",workspace="default"} 37', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="completion_tokens",workspace="default"} 12', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="prompt_tokens",workspace="default"} 25', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="total_tokens",workspace="default"} 37', body, nil, true)
   end)
 
   it("increments the count for proxied AI requests", function()
@@ -800,13 +800,13 @@ describe("Plugin: prometheus (access) AI metrics", function()
     assert.matches('kong_nginx_metric_errors_total 0', body, nil, true)
     assert.matches('http_requests_total{service="empty_service",route="http-route",code="200",source="service",workspace="default",consumer=""} 2', body, nil, true)
     
-    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 2', body, nil, true)
+    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 2', body, nil, true)
 
-    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00074', body, nil, true)
+    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00074', body, nil, true)
 
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="completion_tokens",workspace="default"} 24', body, nil, true)
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="prompt_tokens",workspace="default"} 50', body, nil, true)
-    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",token_type="total_tokens",workspace="default"} 74', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="completion_tokens",workspace="default"} 24', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="prompt_tokens",workspace="default"} 50', body, nil, true)
+    assert.matches('ai_llm_tokens_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",token_type="total_tokens",workspace="default"} 74', body, nil, true)
   end)
 
   it("behave correctly if AI metrics are not found", function()
@@ -832,7 +832,7 @@ describe("Plugin: prometheus (access) AI metrics", function()
     assert.matches('http_requests_total{service="empty_service",route="http-route",code="400",source="kong",workspace="default",consumer=""} 1', body, nil, true)
     assert.matches('kong_nginx_metric_errors_total 0', body, nil, true)
 
-    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 2', body, nil, true)
-    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache="not_cached",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00074', body, nil, true)
+    assert.matches('ai_llm_requests_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 2', body, nil, true)
+    assert.matches('ai_llm_cost_total{ai_provider="openai",ai_model="gpt-3.5-turbo",cache_status="",vector_db="",embeddings_provider="",embeddings_model="",workspace="default"} 0.00074', body, nil, true)
   end)
 end)
\ No newline at end of file