fix(opencode): filter empty text content blocks for all providers

packages/opencode/src/provider/transform.ts

@@ -49,27 +49,45 @@ export namespace ProviderTransform {
     model: Provider.Model,
     options: Record<string, unknown>,
   ): ModelMessage[] {
-    // Anthropic rejects messages with empty content - filter out empty string messages
-    // and remove empty text/reasoning parts from array content
-    if (model.api.npm === "@ai-sdk/anthropic" || model.api.npm === "@ai-sdk/amazon-bedrock") {
-      msgs = msgs
-        .map((msg) => {
-          if (typeof msg.content === "string") {
-            if (msg.content === "") return undefined
-            return msg
+    const preserveAdaptiveAnthropicReasoning = ["sonnet-4-6", "sonnet-4.6", "opus-4-6", "opus-4.6"].some(
+      (variant) => model.id.includes(variant) || model.api.id.includes(variant),
+    )
+
+    // Many providers (Anthropic, Bedrock, and proxies like openai-compatible
+    // forwarding to Bedrock) reject messages with empty text content blocks.
+    // Filter them out universally - empty text blocks are never useful.
+    msgs = msgs
+      .map((msg) => {
+        // Anthropic adaptive thinking signs assistant reasoning blocks positionally.
+        // Preserve these messages verbatim, including whitespace-only text separators.
+        const preserveAssistantReasoning =
+          preserveAdaptiveAnthropicReasoning &&
+          msg.role === "assistant" &&
+          Array.isArray(msg.content) &&
+          msg.content.some((part) => part.type === "reasoning")
+
+        if (preserveAssistantReasoning) return msg
+
+        if (typeof msg.content === "string") {
+          if (!msg.content.trim()) return undefined
+          return msg
+        }
+        if (!Array.isArray(msg.content)) return msg
+        const filtered = msg.content.filter((part) => {
+          if (part.type === "text" || part.type === "reasoning") {
+            if (typeof part.text !== "string") return false
+            return part.text.trim().length > 0
           }
-          if (!Array.isArray(msg.content)) return msg
-          const filtered = msg.content.filter((part) => {
-            if (part.type === "text" || part.type === "reasoning") {
-              return part.text !== ""
-            }
-            return true
-          })
-          if (filtered.length === 0) return undefined
-          return { ...msg, content: filtered }
+          return true
         })
-        .filter((msg): msg is ModelMessage => msg !== undefined && msg.content !== "")
-    }
+        if (filtered.length === 0) return undefined
+        return { ...msg, content: filtered }
+      })
+      .filter((msg): msg is ModelMessage => {
+        if (!msg) return false
+        if (typeof msg.content !== "string") return true
+        return msg.content.trim().length > 0
+      })
 
     if (model.api.id.includes("claude")) {
       return msgs.map((msg) => {

packages/opencode/src/session/message-v2.ts

@@ -628,7 +628,7 @@ export namespace MessageV2 {
         }
         result.push(userMessage)
         for (const part of msg.parts) {
-          if (part.type === "text" && !part.ignored)
+          if (part.type === "text" && !part.ignored && part.text.trim())
             userMessage.parts.push({
               type: "text",
               text: part.text,
@@ -684,7 +684,7 @@ export namespace MessageV2 {
           parts: [],
         }
         for (const part of msg.parts) {
-          if (part.type === "text")
+          if (part.type === "text" && part.text.trim())
             assistantMessage.parts.push({
               type: "text",
               text: part.text,
@@ -747,7 +747,7 @@ export namespace MessageV2 {
                 ...(differentModel ? {} : { callProviderMetadata: part.metadata }),
               })
           }
-          if (part.type === "reasoning") {
+          if (part.type === "reasoning" && part.text.trim()) {
             assistantMessage.parts.push({
               type: "reasoning",
               text: part.text,

packages/opencode/test/provider/transform.test.ts

@@ -1096,6 +1096,42 @@ describe("ProviderTransform.message - anthropic empty content filtering", () =>
     expect(result[0].content[1]).toEqual({ type: "text", text: "Result" })
   })
 
+  test("preserves whitespace text separators in assistant reasoning messages", () => {
+    const adaptiveAnthropicModel = {
+      ...anthropicModel,
+      id: "anthropic/claude-sonnet-4-6",
+      api: {
+        ...anthropicModel.api,
+        id: "claude-sonnet-4-6-20260301",
+      },
+      capabilities: {
+        ...anthropicModel.capabilities,
+        reasoning: true,
+      },
+    }
+
+    const msgs = [
+      {
+        role: "assistant",
+        content: [
+          { type: "reasoning", text: "Thinking step 1" },
+          { type: "text", text: "   " },
+          { type: "reasoning", text: "Thinking step 2" },
+          { type: "text", text: "Result" },
+        ],
+      },
+    ] as any[]
+
+    const result = ProviderTransform.message(msgs, adaptiveAnthropicModel, {})
+
+    expect(result).toHaveLength(1)
+    expect(result[0].content).toHaveLength(4)
+    expect(result[0].content[0]).toEqual({ type: "reasoning", text: "Thinking step 1" })
+    expect(result[0].content[1]).toEqual({ type: "text", text: "   " })
+    expect(result[0].content[2]).toEqual({ type: "reasoning", text: "Thinking step 2" })
+    expect(result[0].content[3]).toEqual({ type: "text", text: "Result" })
+  })
+
   test("filters empty content for bedrock provider", () => {
     const bedrockModel = {
       ...anthropicModel,
@@ -1128,30 +1164,43 @@ describe("ProviderTransform.message - anthropic empty content filtering", () =>
     expect(result[1].content[0]).toEqual({ type: "text", text: "Answer" })
   })
 
-  test("does not filter for non-anthropic providers", () => {
-    const openaiModel = {
+  test("filters empty content for all providers including openai-compatible", () => {
+    const model = {
       ...anthropicModel,
-      providerID: "openai",
+      providerID: "ducc",
       api: {
-        id: "gpt-4",
-        url: "https://api.openai.com",
-        npm: "@ai-sdk/openai",
+        id: "ducc/claude-sonnet-4-6",
+        url: "https://example.com/v1/",
+        npm: "@ai-sdk/openai-compatible",
       },
     }
 
     const msgs = [
       { role: "assistant", content: "" },
+      { role: "assistant", content: "  " },
       {
         role: "assistant",
         content: [{ type: "text", text: "" }],
       },
+      {
+        role: "assistant",
+        content: [{ type: "text", text: "  " }],
+      },
+      {
+        role: "user",
+        content: [
+          { type: "text", text: "" },
+          { type: "text", text: "hello" },
+        ],
+      },
     ] as any[]
 
-    const result = ProviderTransform.message(msgs, openaiModel, {})
+    const result = ProviderTransform.message(msgs, model, {})
 
-    expect(result).toHaveLength(2)
-    expect(result[0].content).toBe("")
-    expect(result[1].content).toHaveLength(1)
+    expect(result).toHaveLength(1)
+    expect(result[0].role).toBe("user")
+    expect(result[0].content).toHaveLength(1)
+    expect(result[0].content[0]).toMatchObject({ type: "text", text: "hello" })
   })
 })