diff --git a/packages/ai/README.md b/packages/ai/README.md
index dc378075..8223eeb1 100644
--- a/packages/ai/README.md
+++ b/packages/ai/README.md
@@ -4,22 +4,6 @@ Unified LLM API with automatic model discovery, provider configuration, token an
 
 **Note**: This library only includes models that support tool calling (function calling), as this is essential for agentic workflows.
 
-## API Changes in v0.5.15+
-
-The `AssistantMessage` response structure has been updated to support multiple content blocks of different types. Instead of separate fields for `text`, `thinking`, and `toolCalls`, responses now have a unified `content` array that can contain multiple blocks of each type in any order.
-
-```typescript
-// Old API (pre-0.5.15)
-response.text        // single text string
-response.thinking    // single thinking string
-response.toolCalls   // array of tool calls
-
-// New API (0.5.15+)
-response.content     // array of TextContent | ThinkingContent | ToolCall blocks
-```
-
-This change allows models to return multiple thinking and text blocks, which is especially useful for complex reasoning tasks.
-
 ## Supported Providers
 
 - **OpenAI**
diff --git a/packages/pods/src/models.json b/packages/pods/src/models.json
index 450f1447..2ab3546e 100644
--- a/packages/pods/src/models.json
+++ b/packages/pods/src/models.json
@@ -114,7 +114,7 @@
 					}
 				}
 			],
-			"notes": "Requires vLLM 0.10.1+gptoss. Tools/functoin calls only  via /v1/responses endpoint."
+			"notes": "Tools/function calls only  via /v1/responses endpoint."
 		},
 		"openai/gpt-oss-120b": {
 			"name": "GPT-OSS-120B",
@@ -123,25 +123,25 @@
 					"gpuCount": 1,
 					"gpuTypes": ["H100", "H200"],
 					"args": ["--async-scheduling", "--gpu-memory-utilization", "0.95", "--max-num-batched-tokens", "1024"],
-					"notes": "Single GPU deployment. Requires vLLM 0.10.1+gptoss. Tools/function calls only via /v1/responses endpoint."
+					"notes": "Single GPU deployment. Tools/function calls only via /v1/responses endpoint."
 				},
 				{
 					"gpuCount": 2,
 					"gpuTypes": ["H100", "H200"],
 					"args": ["--tensor-parallel-size", "2", "--async-scheduling", "--gpu-memory-utilization", "0.94"],
-					"notes": "Recommended for H100/H200. Requires vLLM 0.10.1+gptoss. Tools/function calls only via /v1/responses endpoint."
+					"notes": "Recommended for H100/H200. Tools/function calls only via /v1/responses endpoint."
 				},
 				{
 					"gpuCount": 4,
 					"gpuTypes": ["H100", "H200"],
 					"args": ["--tensor-parallel-size", "4", "--async-scheduling"],
-					"notes": "Higher throughput. Requires vLLM 0.10.1+gptoss. Tools/function calls only via /v1/responses endpoint."
+					"notes": "Higher throughput. Tools/function calls only via /v1/responses endpoint."
 				},
 				{
 					"gpuCount": 8,
 					"gpuTypes": ["H100", "H200"],
 					"args": ["--tensor-parallel-size", "8", "--async-scheduling"],
-					"notes": "Maximum throughput for evaluation workloads. Requires vLLM 0.10.1+gptoss. Tools/function calls only via /v1/responses endpoint."
+					"notes": "Maximum throughput for evaluation workloads. Tools/function calls only via /v1/responses endpoint."
 				}
 			]
 		},