Add explicit LLM stream lifecycle events (#26722)

packages/llm/example/tutorial.ts

@@ -184,7 +184,7 @@ const FakeProtocol = Protocol.make<FakeBody, string, string, void>({
   stream: {
     event: Schema.String,
     initial: () => undefined,
-    step: (_, frame) => Effect.succeed([undefined, [{ type: "text-delta", text: frame }]] as const),
+    step: (_, frame) => Effect.succeed([undefined, [{ type: "text-delta", id: "text-0", text: frame }]] as const),
     onHalt: () => [{ type: "request-finish", reason: "stop" }],
   },
 })

packages/llm/src/protocols/anthropic-messages.ts

@@ -5,10 +5,10 @@ import { Endpoint } from "../route/endpoint"
 import { Framing } from "../route/framing"
 import { Protocol } from "../route/protocol"
 import {
+  LLMEvent,
   Usage,
   type CacheHint,
   type FinishReason,
-  type LLMEvent,
   type LLMRequest,
   type ProviderMetadata,
   type ToolCallPart,
@@ -415,14 +415,13 @@ const serverToolResultEvent = (block: NonNullable<AnthropicEvent["content_block"
       ? String((block.content as Record<string, unknown>).type)
       : ""
   const isError = errorPayload.endsWith("_tool_result_error")
-  return {
+  return LLMEvent.toolResult({
-    type: "tool-result",
     id: block.tool_use_id ?? "",
     name: SERVER_TOOL_RESULT_NAMES[block.type],
     result: isError ? { type: "error", value: block.content } : { type: "json", value: block.content },
     providerExecuted: true,
     providerMetadata: anthropicMetadata({ blockType: block.type }),
-  }
+  })
 }
 
 type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]
@@ -453,18 +452,17 @@ const onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepRes
   }
 
   if (block.type === "text" && block.text) {
-    return [state, [{ type: "text-delta", text: block.text }]]
+    return [state, [LLMEvent.textDelta({ id: `text-${event.index ?? 0}`, text: block.text })]]
   }
 
   if (block.type === "thinking" && block.thinking) {
     return [
       state,
       [
-        {
+        LLMEvent.reasoningDelta({
-          type: "reasoning-delta",
+          id: `reasoning-${event.index ?? 0}`,
           text: block.thinking,
-          ...(block.signature ? { providerMetadata: anthropicMetadata({ signature: block.signature }) } : {}),
+        }),
-        },
       ],
     ]
   }
@@ -480,17 +478,17 @@ const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(f
   const delta = event.delta
 
   if (delta?.type === "text_delta" && delta.text) {
-    return [state, [{ type: "text-delta", text: delta.text }]] satisfies StepResult
+    return [state, [LLMEvent.textDelta({ id: `text-${event.index ?? 0}`, text: delta.text })]] satisfies StepResult
   }
 
   if (delta?.type === "thinking_delta" && delta.thinking) {
-    return [state, [{ type: "reasoning-delta", text: delta.thinking }]] satisfies StepResult
+    return [state, [LLMEvent.reasoningDelta({ id: `reasoning-${event.index ?? 0}`, text: delta.thinking })]] satisfies StepResult
   }
 
   if (delta?.type === "signature_delta" && delta.signature) {
     return [
       state,
-      [{ type: "reasoning-delta", text: "", providerMetadata: anthropicMetadata({ signature: delta.signature }) }],
+      [LLMEvent.reasoningEnd({ id: `reasoning-${event.index ?? 0}`, providerMetadata: anthropicMetadata({ signature: delta.signature }) })],
     ] satisfies StepResult
   }
 
@@ -524,21 +522,20 @@ const onMessageDelta = (state: ParserState, event: AnthropicEvent): StepResult =
   return [
     { ...state, usage },
     [
-      {
+      LLMEvent.requestFinish({
-        type: "request-finish",
         reason: mapFinishReason(event.delta?.stop_reason),
         usage,
-        ...(event.delta?.stop_sequence
+        providerMetadata: event.delta?.stop_sequence
-          ? { providerMetadata: anthropicMetadata({ stopSequence: event.delta.stop_sequence }) }
+          ? anthropicMetadata({ stopSequence: event.delta.stop_sequence })
-          : {}),
+          : undefined,
-      },
+      }),
     ],
   ]
 }
 
 const onError = (state: ParserState, event: AnthropicEvent): StepResult => [
   state,
-  [{ type: "provider-error", message: event.error?.message ?? "Anthropic Messages stream error" }],
+  [LLMEvent.providerError({ message: event.error?.message ?? "Anthropic Messages stream error" })],
 ]
 
 const step = (state: ParserState, event: AnthropicEvent) => {

packages/llm/src/protocols/bedrock-converse.ts

@@ -3,10 +3,10 @@ import { Route, type RouteModelInput } from "../route/client"
 import { Endpoint } from "../route/endpoint"
 import { Protocol } from "../route/protocol"
 import {
+  LLMEvent,
   Usage,
   type CacheHint,
   type FinishReason,
-  type LLMEvent,
   type LLMRequest,
   type ToolCallPart,
   type ToolDefinition,
@@ -400,13 +400,26 @@ const step = (state: ParserState, event: BedrockEvent) =>
     }
 
     if (event.contentBlockDelta?.delta?.text) {
-      return [state, [{ type: "text-delta" as const, text: event.contentBlockDelta.delta.text }]] as const
+      return [
+        state,
+        [
+          LLMEvent.textDelta({
+            id: `text-${event.contentBlockDelta.contentBlockIndex}`,
+            text: event.contentBlockDelta.delta.text,
+          }),
+        ],
+      ] as const
     }
 
     if (event.contentBlockDelta?.delta?.reasoningContent?.text) {
       return [
         state,
-        [{ type: "reasoning-delta" as const, text: event.contentBlockDelta.delta.reasoningContent.text }],
+        [
+          LLMEvent.reasoningDelta({
+            id: `reasoning-${event.contentBlockDelta.contentBlockIndex}`,
+            text: event.contentBlockDelta.delta.reasoningContent.text,
+          }),
+        ],
       ] as const
     }
 
@@ -449,7 +462,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
         event.modelStreamErrorException?.message ??
         event.serviceUnavailableException?.message ??
         "Bedrock Converse stream error"
-      return [state, [{ type: "provider-error" as const, message, retryable: true }]] as const
+      return [state, [LLMEvent.providerError({ message, retryable: true })]] as const
     }
 
     if (event.validationException || event.throttlingException) {
@@ -457,7 +470,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
         event.validationException?.message ?? event.throttlingException?.message ?? "Bedrock Converse error"
       return [
         state,
-        [{ type: "provider-error" as const, message, retryable: event.throttlingException !== undefined }],
+        [LLMEvent.providerError({ message, retryable: event.throttlingException !== undefined })],
       ] as const
     }
 
@@ -468,7 +481,7 @@ const framing = BedrockEventStream.framing(ADAPTER)
 
 const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> =>
   state.pendingFinish
-    ? [{ type: "request-finish", reason: state.pendingFinish.reason, usage: state.pendingFinish.usage }]
+    ? [LLMEvent.requestFinish({ reason: state.pendingFinish.reason, usage: state.pendingFinish.usage })]
     : []
 
 // =============================================================================

packages/llm/src/protocols/gemini.ts

@@ -5,9 +5,9 @@ import { Endpoint } from "../route/endpoint"
 import { Framing } from "../route/framing"
 import { Protocol } from "../route/protocol"
 import {
+  LLMEvent,
   Usage,
   type FinishReason,
-  type LLMEvent,
   type LLMRequest,
   type MediaPart,
   type TextPart,
@@ -311,7 +311,7 @@ const mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean
 
 const finish = (state: ParserState): ReadonlyArray<LLMEvent> =>
   state.finishReason || state.usage
-    ? [{ type: "request-finish", reason: mapFinishReason(state.finishReason, state.hasToolCalls), usage: state.usage }]
+    ? [LLMEvent.requestFinish({ reason: mapFinishReason(state.finishReason, state.hasToolCalls), usage: state.usage })]
     : []
 
 const step = (state: ParserState, event: GeminiEvent) => {
@@ -332,14 +332,18 @@ const step = (state: ParserState, event: GeminiEvent) => {
 
   for (const part of candidate.content.parts) {
     if ("text" in part && part.text.length > 0) {
-      events.push({ type: part.thought ? "reasoning-delta" : "text-delta", text: part.text })
+      events.push(
+        part.thought
+          ? LLMEvent.reasoningDelta({ id: "reasoning-0", text: part.text })
+          : LLMEvent.textDelta({ id: "text-0", text: part.text }),
+      )
       continue
     }
 
     if ("functionCall" in part) {
       const input = part.functionCall.args
       const id = `tool_${nextToolCallId++}`
-      events.push({ type: "tool-call", id, name: part.functionCall.name, input })
+      events.push(LLMEvent.toolCall({ id, name: part.functionCall.name, input }))
       hasToolCalls = true
     }
   }

packages/llm/src/protocols/openai-chat.ts

@@ -6,9 +6,9 @@ import { Framing } from "../route/framing"
 import { HttpTransport } from "../route/transport"
 import { Protocol } from "../route/protocol"
 import {
+  LLMEvent,
   Usage,
   type FinishReason,
-  type LLMEvent,
   type LLMRequest,
   type TextPart,
   type ToolCallPart,
@@ -312,7 +312,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
     const toolDeltas = delta?.tool_calls ?? []
     let tools = state.tools
 
-    if (delta?.content) events.push({ type: "text-delta", text: delta.content })
+    if (delta?.content) events.push(LLMEvent.textDelta({ id: "text-0", text: delta.content }))
 
     for (const tool of toolDeltas) {
       const result = ToolStream.appendOrStart(
@@ -350,7 +350,7 @@ const finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {
   const reason = state.finishReason === "stop" && hasToolCalls ? "tool-calls" : state.finishReason
   return [
     ...state.toolCallEvents,
-    ...(reason ? ([{ type: "request-finish", reason, usage: state.usage }] satisfies ReadonlyArray<LLMEvent>) : []),
+    ...(reason ? [LLMEvent.requestFinish({ reason, usage: state.usage })] : []),
   ]
 }
 

packages/llm/src/protocols/openai-responses.ts

@@ -6,9 +6,9 @@ import { Framing } from "../route/framing"
 import { HttpTransport, WebSocketTransport } from "../route/transport"
 import { Protocol } from "../route/protocol"
 import {
+  LLMEvent,
   Usage,
   type FinishReason,
-  type LLMEvent,
   type LLMRequest,
   type ProviderMetadata,
   type TextPart,
@@ -348,22 +348,20 @@ const hostedToolEvents = (
   const tool = HOSTED_TOOLS[item.type]
   const providerMetadata = openaiMetadata({ itemId: item.id })
   return [
-    {
+    LLMEvent.toolCall({
-      type: "tool-call",
       id: item.id,
       name: tool.name,
       input: tool.input(item),
       providerExecuted: true,
       providerMetadata,
-    },
+    }),
-    {
+    LLMEvent.toolResult({
-      type: "tool-result",
       id: item.id,
       name: tool.name,
       result: hostedToolResult(item),
       providerExecuted: true,
       providerMetadata,
-    },
+    }),
   ]
 }
 
@@ -382,12 +380,7 @@ const onOutputTextDelta = (state: ParserState, event: OpenAIResponsesEvent): Ste
   return [
     state,
     [
-      {
+      LLMEvent.textDelta({ id: event.item_id ?? "text-0", text: event.delta }),
-        type: "text-delta",
-        id: event.item_id,
-        text: event.delta,
-        ...(event.item_id ? { providerMetadata: openaiMetadata({ itemId: event.item_id }) } : {}),
-      },
     ],
   ]
 }
@@ -458,30 +451,28 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
 const onResponseFinish = (state: ParserState, event: OpenAIResponsesEvent): StepResult => [
   state,
   [
-    {
+    LLMEvent.requestFinish({
-      type: "request-finish",
       reason: mapFinishReason(event, state.hasFunctionCall),
       usage: mapUsage(event.response?.usage),
-      ...(event.response?.id || event.response?.service_tier
+      providerMetadata:
-        ? {
+        event.response?.id || event.response?.service_tier
-            providerMetadata: openaiMetadata({
+          ? openaiMetadata({
               responseId: event.response.id,
               serviceTier: event.response.service_tier,
-            }),
+            })
-          }
+          : undefined,
-        : {}),
+    }),
-    },
   ],
 ]
 
 const onResponseFailed = (state: ParserState, event: OpenAIResponsesEvent): StepResult => [
   state,
-  [{ type: "provider-error", message: event.message ?? event.code ?? "OpenAI Responses response failed" }],
+  [LLMEvent.providerError({ message: event.message ?? event.code ?? "OpenAI Responses response failed" })],
 ]
 
 const onError = (state: ParserState, event: OpenAIResponsesEvent): StepResult => [
   state,
-  [{ type: "provider-error", message: event.message ?? event.code ?? "OpenAI Responses stream error" }],
+  [LLMEvent.providerError({ message: event.message ?? event.code ?? "OpenAI Responses stream error" })],
 ]
 
 const step = (state: ParserState, event: OpenAIResponsesEvent) => {

packages/llm/src/protocols/utils/tool-stream.ts

@@ -1,5 +1,5 @@
 import { Effect } from "effect"
-import { LLMError, type ProviderMetadata, type ToolCall, type ToolInputDelta } from "../../schema"
+import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputDelta } from "../../schema"
 import { eventError, parseToolInput, type ToolAccumulator } from "../shared"
 
 type StreamKey = string | number
@@ -49,34 +49,24 @@ const withoutTool = <K extends StreamKey>(tools: State<K>, key: K): State<K> =>
   return next
 }
 
-const inputDelta = (tool: PendingTool, text: string): ToolInputDelta => ({
+const inputDelta = (tool: PendingTool, text: string): ToolInputDelta =>
-  type: "tool-input-delta",
+  LLMEvent.toolInputDelta({
-  id: tool.id,
+    id: tool.id,
-  name: tool.name,
+    name: tool.name,
-  text,
+    text,
-  ...(tool.providerMetadata ? { providerMetadata: tool.providerMetadata } : {}),
+  })
-})
 
 const toolCall = (route: string, tool: PendingTool, inputOverride?: string) =>
   parseToolInput(route, tool.name, inputOverride ?? tool.input).pipe(
     Effect.map(
       (input): ToolCall =>
-        tool.providerExecuted
+        LLMEvent.toolCall({
-          ? {
+          id: tool.id,
-              type: "tool-call",
+          name: tool.name,
-              id: tool.id,
+          input,
-              name: tool.name,
+          providerExecuted: tool.providerExecuted ? true : undefined,
-              input,
+          providerMetadata: tool.providerMetadata,
-              providerExecuted: true,
+        }),
-              ...(tool.providerMetadata ? { providerMetadata: tool.providerMetadata } : {}),
-            }
-          : {
-              type: "tool-call",
-              id: tool.id,
-              name: tool.name,
-              input,
-              ...(tool.providerMetadata ? { providerMetadata: tool.providerMetadata } : {}),
-            },
     ),
   )
 

packages/llm/src/schema/events.ts

@@ -1,5 +1,5 @@
 import { Schema } from "effect"
-import { FinishReason, ProtocolID, ProviderMetadata, RouteID } from "./ids"
+import { ContentBlockID, FinishReason, ProtocolID, ProviderMetadata, ResponseID, RouteID, ToolCallID } from "./ids"
 import { ModelRef } from "./options"
 import { ToolResultValue } from "./messages"
 
@@ -14,60 +14,87 @@ export class Usage extends Schema.Class<Usage>("LLM.Usage")({
 }) {}
 
 export const RequestStart = Schema.Struct({
-  type: Schema.Literal("request-start"),
+  type: Schema.tag("request-start"),
-  id: Schema.String,
+  id: ResponseID,
   model: ModelRef,
 }).annotate({ identifier: "LLM.Event.RequestStart" })
 export type RequestStart = Schema.Schema.Type<typeof RequestStart>
 
 export const StepStart = Schema.Struct({
-  type: Schema.Literal("step-start"),
+  type: Schema.tag("step-start"),
   index: Schema.Number,
 }).annotate({ identifier: "LLM.Event.StepStart" })
 export type StepStart = Schema.Schema.Type<typeof StepStart>
 
 export const TextStart = Schema.Struct({
-  type: Schema.Literal("text-start"),
+  type: Schema.tag("text-start"),
-  id: Schema.String,
+  id: ContentBlockID,
   providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.TextStart" })
 export type TextStart = Schema.Schema.Type<typeof TextStart>
 
 export const TextDelta = Schema.Struct({
-  type: Schema.Literal("text-delta"),
+  type: Schema.tag("text-delta"),
-  id: Schema.optional(Schema.String),
+  id: ContentBlockID,
   text: Schema.String,
-  providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.TextDelta" })
 export type TextDelta = Schema.Schema.Type<typeof TextDelta>
 
 export const TextEnd = Schema.Struct({
-  type: Schema.Literal("text-end"),
+  type: Schema.tag("text-end"),
-  id: Schema.String,
+  id: ContentBlockID,
   providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.TextEnd" })
 export type TextEnd = Schema.Schema.Type<typeof TextEnd>
 
-export const ReasoningDelta = Schema.Struct({
+export const ReasoningStart = Schema.Struct({
-  type: Schema.Literal("reasoning-delta"),
+  type: Schema.tag("reasoning-start"),
-  id: Schema.optional(Schema.String),
+  id: ContentBlockID,
-  text: Schema.String,
   providerMetadata: Schema.optional(ProviderMetadata),
+}).annotate({ identifier: "LLM.Event.ReasoningStart" })
+export type ReasoningStart = Schema.Schema.Type<typeof ReasoningStart>
+
+export const ReasoningDelta = Schema.Struct({
+  type: Schema.tag("reasoning-delta"),
+  id: ContentBlockID,
+  text: Schema.String,
 }).annotate({ identifier: "LLM.Event.ReasoningDelta" })
 export type ReasoningDelta = Schema.Schema.Type<typeof ReasoningDelta>
 
+export const ReasoningEnd = Schema.Struct({
+  type: Schema.tag("reasoning-end"),
+  id: ContentBlockID,
+  providerMetadata: Schema.optional(ProviderMetadata),
+}).annotate({ identifier: "LLM.Event.ReasoningEnd" })
+export type ReasoningEnd = Schema.Schema.Type<typeof ReasoningEnd>
+
+export const ToolInputStart = Schema.Struct({
+  type: Schema.tag("tool-input-start"),
+  id: ToolCallID,
+  name: Schema.String,
+  providerMetadata: Schema.optional(ProviderMetadata),
+}).annotate({ identifier: "LLM.Event.ToolInputStart" })
+export type ToolInputStart = Schema.Schema.Type<typeof ToolInputStart>
+
 export const ToolInputDelta = Schema.Struct({
-  type: Schema.Literal("tool-input-delta"),
+  type: Schema.tag("tool-input-delta"),
-  id: Schema.String,
+  id: ToolCallID,
   name: Schema.String,
   text: Schema.String,
-  providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.ToolInputDelta" })
 export type ToolInputDelta = Schema.Schema.Type<typeof ToolInputDelta>
 
+export const ToolInputEnd = Schema.Struct({
+  type: Schema.tag("tool-input-end"),
+  id: ToolCallID,
+  name: Schema.String,
+  providerMetadata: Schema.optional(ProviderMetadata),
+}).annotate({ identifier: "LLM.Event.ToolInputEnd" })
+export type ToolInputEnd = Schema.Schema.Type<typeof ToolInputEnd>
+
 export const ToolCall = Schema.Struct({
-  type: Schema.Literal("tool-call"),
+  type: Schema.tag("tool-call"),
-  id: Schema.String,
+  id: ToolCallID,
   name: Schema.String,
   input: Schema.Unknown,
   providerExecuted: Schema.optional(Schema.Boolean),
@@ -76,8 +103,8 @@ export const ToolCall = Schema.Struct({
 export type ToolCall = Schema.Schema.Type<typeof ToolCall>
 
 export const ToolResult = Schema.Struct({
-  type: Schema.Literal("tool-result"),
+  type: Schema.tag("tool-result"),
-  id: Schema.String,
+  id: ToolCallID,
   name: Schema.String,
   result: ToolResultValue,
   providerExecuted: Schema.optional(Schema.Boolean),
@@ -86,8 +113,8 @@ export const ToolResult = Schema.Struct({
 export type ToolResult = Schema.Schema.Type<typeof ToolResult>
 
 export const ToolError = Schema.Struct({
-  type: Schema.Literal("tool-error"),
+  type: Schema.tag("tool-error"),
-  id: Schema.String,
+  id: ToolCallID,
   name: Schema.String,
   message: Schema.String,
   providerMetadata: Schema.optional(ProviderMetadata),
@@ -95,7 +122,7 @@ export const ToolError = Schema.Struct({
 export type ToolError = Schema.Schema.Type<typeof ToolError>
 
 export const StepFinish = Schema.Struct({
-  type: Schema.Literal("step-finish"),
+  type: Schema.tag("step-finish"),
   index: Schema.Number,
   reason: FinishReason,
   usage: Schema.optional(Usage),
@@ -104,7 +131,7 @@ export const StepFinish = Schema.Struct({
 export type StepFinish = Schema.Schema.Type<typeof StepFinish>
 
 export const RequestFinish = Schema.Struct({
-  type: Schema.Literal("request-finish"),
+  type: Schema.tag("request-finish"),
   reason: FinishReason,
   usage: Schema.optional(Usage),
   providerMetadata: Schema.optional(ProviderMetadata),
@@ -112,7 +139,7 @@ export const RequestFinish = Schema.Struct({
 export type RequestFinish = Schema.Schema.Type<typeof RequestFinish>
 
 export const ProviderErrorEvent = Schema.Struct({
-  type: Schema.Literal("provider-error"),
+  type: Schema.tag("provider-error"),
   message: Schema.String,
   retryable: Schema.optional(Schema.Boolean),
   providerMetadata: Schema.optional(ProviderMetadata),
@@ -125,8 +152,12 @@ const llmEventTagged = Schema.Union([
   TextStart,
   TextDelta,
   TextEnd,
+  ReasoningStart,
   ReasoningDelta,
+  ReasoningEnd,
+  ToolInputStart,
   ToolInputDelta,
+  ToolInputEnd,
   ToolCall,
   ToolResult,
   ToolError,
@@ -135,20 +166,52 @@ const llmEventTagged = Schema.Union([
   ProviderErrorEvent,
 ]).pipe(Schema.toTaggedUnion("type"))
 
+type WithID<Event extends { readonly id: unknown }, ID> = Omit<Event, "type" | "id"> & { readonly id: ID | string }
+
+const responseID = (value: ResponseID | string) => ResponseID.make(value)
+const contentBlockID = (value: ContentBlockID | string) => ContentBlockID.make(value)
+const toolCallID = (value: ToolCallID | string) => ToolCallID.make(value)
+
 /**
  * camelCase aliases for `LLMEvent.guards` (provided by `Schema.toTaggedUnion`).
  * Lets consumers write `events.filter(LLMEvent.is.toolCall)` instead of
  * `events.filter(LLMEvent.guards["tool-call"])`.
  */
 export const LLMEvent = Object.assign(llmEventTagged, {
+  requestStart: (input: WithID<RequestStart, ResponseID>) => RequestStart.make({ ...input, id: responseID(input.id) }),
+  stepStart: StepStart.make,
+  textStart: (input: WithID<TextStart, ContentBlockID>) => TextStart.make({ ...input, id: contentBlockID(input.id) }),
+  textDelta: (input: WithID<TextDelta, ContentBlockID>) => TextDelta.make({ ...input, id: contentBlockID(input.id) }),
+  textEnd: (input: WithID<TextEnd, ContentBlockID>) => TextEnd.make({ ...input, id: contentBlockID(input.id) }),
+  reasoningStart: (input: WithID<ReasoningStart, ContentBlockID>) =>
+    ReasoningStart.make({ ...input, id: contentBlockID(input.id) }),
+  reasoningDelta: (input: WithID<ReasoningDelta, ContentBlockID>) =>
+    ReasoningDelta.make({ ...input, id: contentBlockID(input.id) }),
+  reasoningEnd: (input: WithID<ReasoningEnd, ContentBlockID>) =>
+    ReasoningEnd.make({ ...input, id: contentBlockID(input.id) }),
+  toolInputStart: (input: WithID<ToolInputStart, ToolCallID>) =>
+    ToolInputStart.make({ ...input, id: toolCallID(input.id) }),
+  toolInputDelta: (input: WithID<ToolInputDelta, ToolCallID>) =>
+    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) }),
+  toolError: (input: WithID<ToolError, ToolCallID>) => ToolError.make({ ...input, id: toolCallID(input.id) }),
+  stepFinish: StepFinish.make,
+  requestFinish: RequestFinish.make,
+  providerError: ProviderErrorEvent.make,
   is: {
     requestStart: llmEventTagged.guards["request-start"],
     stepStart: llmEventTagged.guards["step-start"],
     textStart: llmEventTagged.guards["text-start"],
     textDelta: llmEventTagged.guards["text-delta"],
     textEnd: llmEventTagged.guards["text-end"],
+    reasoningStart: llmEventTagged.guards["reasoning-start"],
     reasoningDelta: llmEventTagged.guards["reasoning-delta"],
+    reasoningEnd: llmEventTagged.guards["reasoning-end"],
+    toolInputStart: llmEventTagged.guards["tool-input-start"],
     toolInputDelta: llmEventTagged.guards["tool-input-delta"],
+    toolInputEnd: llmEventTagged.guards["tool-input-end"],
     toolCall: llmEventTagged.guards["tool-call"],
     toolResult: llmEventTagged.guards["tool-result"],
     toolError: llmEventTagged.guards["tool-error"],

packages/llm/src/schema/ids.ts

@@ -14,6 +14,15 @@ export type ModelID = typeof ModelID.Type
 export const ProviderID = Schema.String.pipe(Schema.brand("LLM.ProviderID"))
 export type ProviderID = typeof ProviderID.Type
 
+export const ResponseID = Schema.String
+export type ResponseID = Schema.Schema.Type<typeof ResponseID>
+
+export const ContentBlockID = Schema.String
+export type ContentBlockID = Schema.Schema.Type<typeof ContentBlockID>
+
+export const ToolCallID = Schema.String
+export type ToolCallID = Schema.Schema.Type<typeof ToolCallID>
+
 export const ReasoningEfforts = ["none", "minimal", "low", "medium", "high", "xhigh", "max"] as const
 export const ReasoningEffort = Schema.Literals(ReasoningEfforts)
 export type ReasoningEffort = Schema.Schema.Type<typeof ReasoningEffort>

packages/llm/src/tool-runtime.ts

@@ -4,7 +4,7 @@ import {
   type ContentPart,
   type FinishReason,
   type LLMError,
-  type LLMEvent,
+  LLMEvent,
   LLMRequest,
   Message,
   type ProviderMetadata,
@@ -115,11 +115,19 @@ interface StepState {
 
 const accumulate = (state: StepState, event: LLMEvent) => {
   if (event.type === "text-delta") {
-    appendStreamingText(state, "text", event.text, event.providerMetadata)
+    appendStreamingText(state, "text", event.text, undefined)
     return
   }
   if (event.type === "reasoning-delta") {
-    appendStreamingText(state, "reasoning", event.text, event.providerMetadata)
+    appendStreamingText(state, "reasoning", event.text, undefined)
+    return
+  }
+  if (event.type === "reasoning-end") {
+    appendStreamingText(state, "reasoning", "", event.providerMetadata)
+    return
+  }
+  if (event.type === "text-end") {
+    appendStreamingText(state, "text", "", event.providerMetadata)
     return
   }
   if (event.type === "tool-call") {
@@ -219,10 +227,10 @@ const decodeAndExecute = (tool: AnyTool, input: unknown): Effect.Effect<ToolResu
 const emitEvents = (call: ToolCallPart, result: ToolResultValue): ReadonlyArray<LLMEvent> =>
   result.type === "error"
     ? [
-        { type: "tool-error", id: call.id, name: call.name, message: String(result.value) },
+        LLMEvent.toolError({ id: call.id, name: call.name, message: String(result.value) }),
-        { type: "tool-result", id: call.id, name: call.name, result },
+        LLMEvent.toolResult({ id: call.id, name: call.name, result }),
       ]
-    : [{ type: "tool-result", id: call.id, name: call.name, result }]
+    : [LLMEvent.toolResult({ id: call.id, name: call.name, result })]
 
 const followUpRequest = (
   request: LLMRequest,

packages/llm/test/adapter.test.ts

@@ -50,7 +50,9 @@ const request = LLM.request({
 })
 
 const raiseEvent = (event: FakeEvent): import("../src/schema").LLMEvent =>
-  event.type === "finish" ? { type: "request-finish", reason: event.reason } : { type: "text-delta", text: event.text }
+  event.type === "finish"
+    ? { type: "request-finish", reason: event.reason }
+    : { type: "text-delta", id: "text-0", text: event.text }
 
 const fakeProtocol = Protocol.make<FakeBody, FakeEvent, FakeEvent, void>({
   id: "fake",

packages/llm/test/llm.test.ts

@@ -126,7 +126,7 @@ describe("llm constructors", () => {
     expect(
       LLMResponse.text({
         events: [
-          { type: "text-delta", text: "hi" },
+          { type: "text-delta", id: "text-0", text: "hi" },
           { type: "request-finish", reason: "stop" },
         ],
       }),

packages/llm/test/provider/anthropic-messages.test.ts

@@ -115,7 +115,7 @@ describe("Anthropic Messages route", () => {
         cacheReadInputTokens: 1,
         totalTokens: 7,
       })
-      expect(response.events.find((event) => event.type === "reasoning-delta" && event.text === "")).toMatchObject({
+      expect(response.events.find((event) => event.type === "reasoning-end")).toMatchObject({
         providerMetadata: { anthropic: { signature: "sig_1" } },
       })
       expect(response.events.at(-1)).toMatchObject({

packages/llm/test/provider/gemini.test.ts

@@ -204,9 +204,9 @@ describe("Gemini route", () => {
         totalTokens: 7,
       })
       expect(response.events).toEqual([
-        { type: "reasoning-delta", text: "thinking" },
+        { type: "reasoning-delta", id: "reasoning-0", text: "thinking" },
-        { type: "text-delta", text: "Hello" },
+        { type: "text-delta", id: "text-0", text: "Hello" },
-        { type: "text-delta", text: "!" },
+        { type: "text-delta", id: "text-0", text: "!" },
         {
           type: "request-finish",
           reason: "stop",

packages/llm/test/provider/openai-chat.test.ts

@@ -225,8 +225,8 @@ describe("OpenAI Chat route", () => {
 
       expect(response.text).toBe("Hello!")
       expect(response.events).toEqual([
-        { type: "text-delta", text: "Hello" },
+        { type: "text-delta", id: "text-0", text: "Hello" },
-        { type: "text-delta", text: "!" },
+        { type: "text-delta", id: "text-0", text: "!" },
         {
           type: "request-finish",
           reason: "stop",

packages/llm/test/provider/openai-responses.test.ts

@@ -336,8 +336,8 @@ describe("OpenAI Responses route", () => {
 
       expect(response.text).toBe("Hello!")
       expect(response.events).toEqual([
-        { type: "text-delta", id: "msg_1", text: "Hello", providerMetadata: { openai: { itemId: "msg_1" } } },
+        { type: "text-delta", id: "msg_1", text: "Hello" },
-        { type: "text-delta", id: "msg_1", text: "!", providerMetadata: { openai: { itemId: "msg_1" } } },
+        { type: "text-delta", id: "msg_1", text: "!" },
         {
           type: "request-finish",
           reason: "stop",
@@ -394,14 +394,12 @@ describe("OpenAI Responses route", () => {
           id: "call_1",
           name: "lookup",
           text: '{"query"',
-          providerMetadata: { openai: { itemId: "item_1" } },
         },
         {
           type: "tool-input-delta",
           id: "call_1",
           name: "lookup",
           text: ':"weather"}',
-          providerMetadata: { openai: { itemId: "item_1" } },
         },
         {
           type: "tool-call",