feat(core): add embedded v2 session runtime and tool foundation (#30632)

packages/llm/src/schema/events.ts

@@ -1,7 +1,7 @@
 import { Schema } from "effect"
 import { ContentBlockID, FinishReason, ProtocolID, ProviderMetadata, RouteID, ToolCallID } from "./ids"
 import { ModelSchema } from "./options"
-import { ToolResultValue } from "./messages"
+import { ToolOutput, ToolResultValue } from "./messages"
 
 /**
  * Token usage reported by an LLM provider.
@@ -163,6 +163,7 @@ export const ToolResult = Schema.Struct({
   id: ToolCallID,
   name: Schema.String,
   result: ToolResultValue,
+  output: Schema.optional(ToolOutput),
   providerExecuted: Schema.optional(Schema.Boolean),
   providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.ToolResult" })
@@ -252,7 +253,12 @@ export const LLMEvent = Object.assign(llmEventTagged, {
     ToolInputDelta.make({ ...input, id: toolCallID(input.id) }),
   toolInputEnd: (input: WithID<ToolInputEnd, ToolCallID>) => ToolInputEnd.make({ ...input, id: toolCallID(input.id) }),
   toolCall: (input: WithID<ToolCall, ToolCallID>) => ToolCall.make({ ...input, id: toolCallID(input.id) }),
-  toolResult: (input: WithID<ToolResult, ToolCallID>) => ToolResult.make({ ...input, id: toolCallID(input.id) }),
+  toolResult: (input: WithID<ToolResult, ToolCallID>) =>
+    ToolResult.make({
+      ...input,
+      id: toolCallID(input.id),
+      output: input.output === undefined ? undefined : ToolOutput.make(input.output.structured, input.output.content),
+    }),
   toolError: (input: WithID<ToolError, ToolCallID>) => ToolError.make({ ...input, id: toolCallID(input.id) }),
   stepFinish: (input: WithUsage<StepFinish>) =>
     StepFinish.make({