Merge master into app attribution RFC

packages/llm/llm-deepseek/README.md

@@ -32,13 +32,10 @@ Every request carries the shared attribution header from dsh-llm's `attributionH
 - Streaming only (`stream_options.include_usage` always on). `usage` may arrive attached to the finish chunk or as a trailing usage-only chunk — the translator defers both to `[DONE]`, so `usage` always precedes `finish` and nothing follows `finish`.
 - The first thinking-mode chunk carries `reasoning_content: ""` — handled (no spurious reasoning block).
 - **Reasoning passback rule**: on assistant turns that carried tool calls, `reasoning_content` is serialized back in history (required by the API in thinking mode); on tool-call-free turns it is dropped (ignored anyway — saves tokens).
-- `strict` on tool schemas passes through (officially Beta; the public API wants the `/beta` base URL for it, the internal endpoint accepts it directly).
 - Cache accounting: `cacheReadTokens` ← `prompt_cache_hit_tokens` / `prompt_tokens_details.cached_tokens`; DeepSeek reports no cache-write metric.
 
 ## Limitations (MVP, documented deliberately)
 
-- `prefill` throws `LlmError('UNSUPPORTED')` — DeepSeek's chat-prefix completion is a Beta feature on the `/beta` base URL; future work.
-- `image` blocks are skipped (no vision support on these models).
 - `tool_choice` is not mapped (not part of the core vocabulary).
 
 ## Errors

packages/llm/llm-deepseek/src/serialize.ts

@@ -11,12 +11,10 @@
  *   rule for thinking mode — required there, ignored elsewhere, so we save
  *   the tokens elsewhere); `tool-call` → `tool_calls[]`
  * - `tool-result` → its own `{role: 'tool'}` message (text flattened)
- * - `image` → skipped (MVP limitation, documented in the README)
  *
  * @module dsh-llm-deepseek/serialize
  */
 
-import { LlmError } from '@deepseek-ai/dsh-llm'
 import type { ContentBlock, GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
 import type { WireMessage, WireRequest, WireTool } from './types.ts'
 
@@ -99,19 +97,8 @@ export function serializeMessages(messages: Message[]): WireMessage[] {
   return wire
 }
 
-/**
- * Build the full wire request. Throws `LlmError('UNSUPPORTED')` for
- * `prefill` (DeepSeek's chat-prefix completion is a Beta feature on a
- * different base URL — see README).
- */
+/** Build the full wire request. */
 export function serializeRequest(options: GenerateOptions, defaults: RequestDefaults = {}): WireRequest {
-  if (options.prefill !== undefined) {
-    throw new LlmError(
-      'prefill is not supported by the DeepSeek adapter (Beta chat-prefix completion is future work)',
-      'UNSUPPORTED',
-    )
-  }
-
   const messages: WireMessage[] = []
   if (options.system !== undefined) {
     messages.push({ role: 'system', content: options.system })
@@ -124,8 +111,6 @@ export function serializeRequest(options: GenerateOptions, defaults: RequestDefa
       name: tool.name,
       description: tool.description,
       parameters: tool.parameters,
-      // strict is officially supported (Beta); pass the tool author's choice.
-      ...tool.strict !== undefined ? { strict: tool.strict } : {},
     },
   }))
 

packages/llm/llm-deepseek/src/types.ts

@@ -78,8 +78,6 @@ export interface WireTool {
     name: string
     description: string
     parameters: Record<string, unknown>
-    /** Beta: strict schema adherence (official: requires the /beta base URL). */
-    strict?: boolean
   }
 }
 

packages/llm/llm-deepseek/tests/adapter.spec.ts

@@ -110,7 +110,7 @@ describe('DeepSeekAdapter against a mock server', () => {
       stream_options: { include_usage: true },
     })
     // Attribution reaches the wire: the exact shared User-Agent, and no
-    // provider-specific headers without an explicitly configured target.
+    // provider-specific headers under the User-Agent-only contract.
     expect(server.headers[0]?.['user-agent']).toBe(userAgent())
     expect(server.headers[0]).not.toHaveProperty('http-referer')
     expect(server.headers[0]).not.toHaveProperty('x-openrouter-title')

packages/llm/llm-deepseek/tests/serialize.spec.ts

@@ -1,6 +1,6 @@
 import { describe, expect, it } from 'vitest'
-import { CallId, LlmError } from '@deepseek-ai/dsh-llm'
-import type { GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
+import { CallId } from '@deepseek-ai/dsh-llm'
+import type { ContentBlock, GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
 import { serializeMessages, serializeRequest } from '@deepseek-ai/dsh-llm-deepseek'
 
 function request(overrides: Partial<GenerateOptions> = {}): GenerateOptions {
@@ -110,11 +110,17 @@ describe('serializeMessages', () => {
     ])
   })
 
-  it('skips image blocks (documented MVP limitation)', () => {
+  it('skips plugin-added block types (merge-extensible ContentBlockMap)', () => {
     const wire = serializeMessages([
-      { role: 'user', content: [{ type: 'image', url: 'data:image/png;base64,x' }, { type: 'text', text: 'see image' }] },
+      {
+        role: 'user',
+        content: [
+          { type: 'chart', data: 'x' } as unknown as ContentBlock,
+          { type: 'text', text: 'see chart' },
+        ],
+      },
     ])
-    expect(wire).toEqual([{ role: 'user', content: 'see image' }])
+    expect(wire).toEqual([{ role: 'user', content: 'see chart' }])
   })
 
   it('emits an empty user message rather than dropping block-less messages', () => {
@@ -149,17 +155,17 @@ describe('serializeRequest', () => {
     expect(wire.stop).toEqual(['END'])
   })
 
-  it('maps tools with strict passthrough', () => {
+  it('maps tools to the wire function shape', () => {
     const wire = serializeRequest(request({
       messages: history,
       tools: [
         { name: 'a', description: 'A', parameters: { type: 'object', properties: {} } },
-        { name: 'b', description: 'B', parameters: { type: 'object', properties: {} }, strict: true },
+        { name: 'b', description: 'B', parameters: { type: 'object', properties: { x: { type: 'string' } } } },
       ],
     }))
     expect(wire.tools).toEqual([
       { type: 'function', function: { name: 'a', description: 'A', parameters: { type: 'object', properties: {} } } },
-      { type: 'function', function: { name: 'b', description: 'B', parameters: { type: 'object', properties: {} }, strict: true } },
+      { type: 'function', function: { name: 'b', description: 'B', parameters: { type: 'object', properties: { x: { type: 'string' } } } } },
     ])
   })
 
@@ -179,17 +185,6 @@ describe('serializeRequest', () => {
     expect(wire.thinking).toBeUndefined()
     expect(wire.reasoning_effort).toBeUndefined()
   })
-
-  it('rejects prefill with an UNSUPPORTED LlmError', () => {
-    expect(() => serializeRequest(request({ prefill: [{ type: 'text', text: 'Sure' }] })))
-      .toThrow(LlmError)
-    try {
-      serializeRequest(request({ prefill: [] }))
-      expect.unreachable()
-    } catch (error) {
-      expect((error as LlmError).code).toBe('UNSUPPORTED')
-    }
-  })
 })
 
 describe('review fixes: assistant content shapes', () => {

packages/llm/llm-pi-ai/README.md

@@ -9,7 +9,7 @@ DeepSeek adapter for the harness LLM seam backed by [`@earendil-works/pi-ai`](ht
 - pi-ai hands tool-call `arguments` around as **parsed objects**; the harness keeps raw JSON strings. The adapter patches replay payloads back to the original raw strings before sending them, and re-stringifies parsed output tool calls at `block-end`.
 - pi-ai reports failures as **in-stream error events** (it never throws mid-stream); these map to `finish {kind:'error'|'aborted'}` chunks — the protocol's other sanctioned error path besides throwing (which llm-deepseek uses).
 - pi-ai folds reasoning tokens into `usage.output`; there is no separate reasoning count to map.
-- pi-ai's options omit some DeepSeek/OpenAI-compatible details; the adapter uses its `onPayload` hook to preserve the harness contract (`stop`, per-tool `strict`, omitted reasoning effort, raw replayed tool arguments).
+- pi-ai's options omit some DeepSeek/OpenAI-compatible details; the adapter uses its `onPayload` hook to preserve the harness contract (`stop`, scrubbing pi-ai's own per-tool `strict` default — the hand-rolled twin sends no such field — omitted reasoning effort, raw replayed tool arguments).
 
 ## Config
 
@@ -35,7 +35,7 @@ pi-ai declares the openai/anthropic/google/mistral/AWS SDKs as install-time depe
 
 ## Limitations
 
-Same MVP contract as llm-deepseek: `prefill` throws `UNSUPPORTED`, images are not representable, `tool_choice` is not mapped.
+Same MVP contract as llm-deepseek: `tool_choice` is not mapped.
 
 ## Testing
 

packages/llm/llm-pi-ai/src/adapter.ts

@@ -13,9 +13,9 @@
 
 import { stream as piStream } from '@earendil-works/pi-ai'
 import type { Model } from '@earendil-works/pi-ai'
-import { attributionHeaders, LlmAdapter, LlmError } from '@deepseek-ai/dsh-llm'
+import { attributionHeaders, LlmAdapter } from '@deepseek-ai/dsh-llm'
 import { CallId } from '@deepseek-ai/dsh-llm'
-import type { GenerateOptions, StreamChunk, ToolSchema } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
 import { toPiContext, toStreamChunks } from './convert.ts'
 
 /** Reasoning levels surfaced by this adapter (DeepSeek wire: high|max). */
@@ -61,7 +61,7 @@ export function buildModel(modelId: string, options: PiAiAdapterOptions): Model<
 }
 
 type Payload = {
-  tools?: { function?: { name?: unknown; strict?: unknown } }[]
+  tools?: { function?: { strict?: unknown } }[]
   messages?: {
     role?: unknown
     tool_calls?: { id?: unknown; function?: { arguments?: unknown } }[]
@@ -81,10 +81,6 @@ function rawToolArguments(options: GenerateOptions): Map<CallId, string> {
   return raw
 }
 
-function strictByToolName(tools: ToolSchema[] | undefined): Map<string, boolean | undefined> {
-  return new Map((tools ?? []).map(tool => [tool.name, tool.strict]))
-}
-
 function patchPayload(payload: unknown, options: GenerateOptions, reasoning: PiAiReasoning | undefined): unknown {
   /* v8 ignore next -- pi-ai onPayload always receives an object; tolerate unusual future hooks defensively */
   if (typeof payload !== 'object' || payload === null) return payload
@@ -97,16 +93,13 @@ function patchPayload(payload: unknown, options: GenerateOptions, reasoning: PiA
     body.stop = options.stop
   }
 
-  const strictByName = strictByToolName(options.tools)
+  // pi-ai stamps its own `strict` default on every serialized tool; the
+  // harness tool contract has no strict field and the hand-rolled twin sends
+  // none, so scrub it for wire parity.
   for (const tool of body.tools ?? []) {
     /* v8 ignore next -- malformed pi-ai payload guard: real tool entries always carry function */
     if (tool.function === undefined) continue
-    const name = tool.function.name
-    /* v8 ignore next -- malformed pi-ai payload guard: real function entries always carry a string name */
-    if (typeof name !== 'string') continue
-    const strict = strictByName.get(name)
-    if (strict === undefined) delete tool.function.strict
-    else tool.function.strict = strict
+    delete tool.function.strict
   }
 
   const rawById = rawToolArguments(options)
@@ -131,9 +124,9 @@ function patchPayload(payload: unknown, options: GenerateOptions, reasoning: PiA
  *
  * Implementation notes:
  * - `onPayload` patches provider payload details pi-ai cannot express directly:
- *   stop sequences, per-tool strict, omitted reasoning effort, and raw replayed
- *   tool-call arguments.
- * - `prefill` throws UNSUPPORTED (same contract as dsh-llm-deepseek).
+ *   stop sequences, scrubbing pi-ai's own per-tool `strict` default (the
+ *   hand-rolled twin sends no such field), omitted reasoning effort, and raw
+ *   replayed tool-call arguments.
  * - pi-ai reports request failures as in-stream error events; convert.ts
  *   maps them to `finish {kind:'error'|'aborted'}` chunks rather than
  *   throwing — both are sanctioned StreamChunk error paths.
@@ -144,13 +137,6 @@ export class PiAiAdapter extends LlmAdapter {
   }
 
   async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
-    if (options.prefill !== undefined) {
-      throw new LlmError(
-        'prefill is not supported by the pi-ai adapter',
-        'UNSUPPORTED',
-      )
-    }
-
     const model = buildModel(options.model, this.options)
     // Undefined config means "provider default" (DeepSeek: thinking ENABLED),
     // matching llm-deepseek's omission semantics. pi-ai derives the wire

packages/llm/llm-pi-ai/src/convert.ts

@@ -93,7 +93,7 @@ export function toPiContext(options: GenerateOptions): PiContext {
             })
             break
           default:
-            // image / plugin-added block types: not representable here.
+            // plugin-added block types: not representable here.
             break
         }
       }

packages/llm/llm-pi-ai/tests/adapter.spec.ts

@@ -2,7 +2,7 @@ import { createServer } from 'node:http'
 import type { IncomingMessage, Server, ServerResponse } from 'node:http'
 import { afterEach, describe, expect, it, vi } from 'vitest'
 import { Context } from 'cordis'
-import LlmService, { CallId, LlmError, userAgent } from '@deepseek-ai/dsh-llm'
+import LlmService, { CallId, userAgent } from '@deepseek-ai/dsh-llm'
 import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
 import { buildModel, PiAiAdapter } from '@deepseek-ai/dsh-llm-pi-ai'
 import { assemble } from './assemble.ts'
@@ -98,8 +98,8 @@ describe('PiAiAdapter against a mock server', () => {
     expect(result.usage).toMatchObject({ inputTokens: 3, outputTokens: 1 })
 
     // Attribution reaches the wire through pi-ai's headers hook: the exact
-    // shared User-Agent, and no provider-specific headers without an
-    // explicitly configured target.
+    // shared User-Agent, and no provider-specific headers under the
+    // User-Agent-only contract.
     expect(server.headers[0]?.['user-agent']).toBe(userAgent())
     expect(server.headers[0]).not.toHaveProperty('http-referer')
     expect(server.headers[0]).not.toHaveProperty('x-openrouter-title')
@@ -162,26 +162,26 @@ describe('PiAiAdapter against a mock server', () => {
     expect(server.requests[0]).toMatchObject({ stop: ['END'] })
   })
 
-  it('preserves per-tool strict exactly through onPayload', async () => {
+  it('scrubs pi-ai\'s own per-tool strict default through onPayload', async () => {
     const server = await mockServer([{ events: textEvents }])
     const ctx = await harness(server.url)
     await assemble(ctx,{
       model: 'deepseek-v4-flash',
       messages: [],
       tools: [
-        { name: 'strict_true', description: 'true', parameters: {}, strict: true },
-        { name: 'strict_false', description: 'false', parameters: {}, strict: false },
-        { name: 'strict_omitted', description: 'omitted', parameters: {} },
+        { name: 'alpha', description: 'a', parameters: {} },
+        { name: 'beta', description: 'b', parameters: {} },
       ],
     })
 
+    // pi-ai stamps `strict` on every serialized tool function; the harness
+    // contract has none and the hand-rolled twin sends no such field, so the
+    // payload fixup must have deleted it from every tool.
     const request = server.requests[0] as { tools: { function: { name: string; strict?: boolean } }[] }
-    expect(request.tools.map(tool => [tool.function.name, tool.function.strict])).toEqual([
-      ['strict_true', true],
-      ['strict_false', false],
-      ['strict_omitted', undefined],
-    ])
-    expect('strict' in request.tools[2]!.function).toBe(false)
+    expect(request.tools.map(tool => tool.function.name)).toEqual(['alpha', 'beta'])
+    for (const tool of request.tools) {
+      expect('strict' in tool.function).toBe(false)
+    }
   })
 
   it('preserves raw replayed tool-call arguments in the provider payload', async () => {
@@ -222,15 +222,6 @@ describe('PiAiAdapter against a mock server', () => {
     expect(result.finish).toMatchObject({ kind: 'error', code })
   })
 
-  it('rejects prefill with UNSUPPORTED', async () => {
-    const ctx = await harness('http://127.0.0.1:1')
-    await expect(assemble(ctx,{
-      model: 'deepseek-v4-flash',
-      messages: [],
-      prefill: [{ type: 'text', text: 'Sure' }],
-    })).rejects.toThrow(LlmError)
-  })
-
   it('registers/unregisters models on the llm service (HMR safety)', async () => {
     const ctx = new Context()
     await ctx.plugin(LlmService)

packages/llm/llm-pi-ai/tests/convert.spec.ts

@@ -1,6 +1,6 @@
 import { describe, expect, it } from 'vitest'
 import { CallId } from '@deepseek-ai/dsh-llm'
-import type { StreamChunk } from '@deepseek-ai/dsh-llm'
+import type { ContentBlock, StreamChunk } from '@deepseek-ai/dsh-llm'
 import type { AssistantMessage, AssistantMessageEvent, Usage } from '@earendil-works/pi-ai'
 import { mapStopReason, mapUsage, toPiContext, toStreamChunks } from '@deepseek-ai/dsh-llm-pi-ai'
 
@@ -171,13 +171,13 @@ describe('toPiContext', () => {
     expect(context.messages.map(message => message.role)).toEqual(['user', 'user', 'toolResult'])
   })
 
-  it('skips image and unknown blocks in assistant content', () => {
+  it('skips plugin-added (unknown) blocks in assistant content', () => {
     const context = toPiContext({
       model: 'm',
       messages: [{
         role: 'assistant',
         content: [
-          { type: 'image', url: 'data:,x' },
+          { type: 'chart', data: 'x' } as unknown as ContentBlock,
           { type: 'text', text: 'visible' },
         ],
       }],

packages/llm/llm/README.md

@@ -25,7 +25,7 @@ An adapter registry plus a single streaming call surface, interceptable via a wa
 
 ### Content-block vocabulary (`types.ts`)
 
-Messages are arrays of typed content blocks: `text`, `reasoning`, `tool-call`, `tool-result`, `image`. The union is derived from the merge-extensible `ContentBlockMap`, so plugins can add block types via declaration merging.
+Messages are arrays of typed content blocks: `text`, `reasoning`, `tool-call`, `tool-result`. The union is derived from the merge-extensible `ContentBlockMap`, so plugins can add block types via declaration merging. The core set is limited to blocks every shipping path honors — multimodal content (images, audio, …) has no core block type; a feature that needs one adds it via the map together with the adapter/UI/compaction support that honors it.
 
 Streaming is a raw chunk protocol (`block-start`, `text-delta`, `reasoning-delta`, `tool-call-delta`, `block-end`, `usage`, `finish`). `BlockAssembler` is the single shared implementation that assembles chunks into blocks/messages.
 

packages/llm/llm/src/index.ts

@@ -27,6 +27,7 @@ declare module 'cordis' {
      * Waterfall around every streaming model call (retry, caching, routing).
      * Bound to the {@link LlmService}; call `next()` to reach the resolved
      * adapter's stream, or yield your own chunks to short-circuit.
+     * @param options - the full request; listeners may rewrite it before delegating.
      * @mode waterfall
      */
     'llm/stream'(this: LlmService, options: GenerateOptions, next: () => AsyncIterable<StreamChunk>): AsyncIterable<StreamChunk>
@@ -85,6 +86,9 @@ export class LlmService extends Service {
    * Register an adapter for the given model names. Throws `LlmError` with code
    * `DUPLICATE_ADAPTER` if any model already has an adapter (all-or-nothing).
    * Disposed with the fiber.
+   * @param models - every model name this adapter should serve.
+   * @param adapter - the adapter that streams calls for those models.
+   * @returns the disposer that unregisters all of them.
    */
   registerAdapter(models: string[], adapter: LlmAdapter): () => void {
     const dispose = this.ctx.effect(function* (this: LlmService) {
@@ -103,7 +107,10 @@ export class LlmService extends Service {
     return () => void dispose()
   }
 
-  /** Model names with a registered adapter. */
+  /**
+   * Model names with a registered adapter.
+   * @returns the registered names, in registration order.
+   */
   models(): string[] {
     return [...this.adapters.keys()]
   }
@@ -118,6 +125,8 @@ export class LlmService extends Service {
    * Stream one model call as raw chunks (token-level deltas). Throws
    * `LlmError` with code `NO_ADAPTER` if no adapter is registered for
    * `options.model`. Dispatches through the `llm/stream` waterfall.
+   * @param options - the full request; `options.model` selects the adapter.
+   * @returns the chunk stream, possibly wrapped by `llm/stream` listeners.
    */
   stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
     return this.ctx.waterfall(this, 'llm/stream', options, () => {

packages/llm/llm/src/types.ts

@@ -22,14 +22,10 @@
 import type { Branded } from '@deepseek-ai/dsh-brand'
 import type { CallId } from './brand.ts'
 
-/** Cache hint attached to a content block (provider-interpreted). */
-export type CacheHint = 'ephemeral'
-
 /** Plain text visible to the end user. */
 export interface TextBlock {
   type: 'text'
   text: string
-  cache?: CacheHint
 }
 
 /** Reasoning / thinking content, distinct from visible text. */
@@ -54,27 +50,24 @@ export interface ToolResultBlock {
   toolCallId: CallId
   content: ContentBlock[]
   isError?: boolean
-  cache?: CacheHint
-}
-
-/** An image, by URL or data URL. */
-export interface ImageBlock {
-  type: 'image'
-  url: string
-  mimeType?: string
-  cache?: CacheHint
 }
 
 /**
  * All known content block shapes, keyed by their `type` tag.
  * Merge-extensible: plugins add new block types via declaration merging.
+ *
+ * The core set is deliberately limited to blocks every shipping path honors.
+ * Multimodal content (images, audio, …) has no core block type: a feature
+ * that needs one adds it via declaration merging in the same coordinated
+ * change that maps it in the adapters, surfaces it in the UI bridges, and
+ * prices it in compaction — a producer never lands without its consumers
+ * (see docs/rfc/implemented/simplification/2026-07-04-drop-image-content-block.md).
  */
 export interface ContentBlockMap {
   'text': TextBlock
   'reasoning': ReasoningBlock
   'tool-call': ToolCallBlock
   'tool-result': ToolResultBlock
-  'image': ImageBlock
 }
 
 export type ContentBlockType = keyof ContentBlockMap
@@ -93,7 +86,6 @@ export interface Message {
 export interface MessageSourceMap {
   user: { kind: 'user' }
   plugin: { kind: 'plugin'; plugin: string }
-  agent: { kind: 'agent'; agentId: string }
 }
 
 export type MessageSource = MessageSourceMap[keyof MessageSourceMap]
@@ -171,7 +163,6 @@ export interface ToolSchema {
   description: string
   /** JSON Schema object for the arguments. */
   parameters: Record<string, unknown>
-  strict?: boolean
 }
 
 /** A single model request, fully assembled. */
@@ -182,8 +173,6 @@ export interface GenerateOptions {
   system?: string
   /** Tool schemas (adapters map to the provider's `tools` field). */
   tools?: ToolSchema[]
-  /** Assistant prefix continuation (prefill). */
-  prefill?: ContentBlock[]
   temperature?: number
   maxTokens?: number
   /**

packages/llm/llm/tests/assembler.spec.ts

@@ -63,12 +63,12 @@ describe('BlockAssembler', () => {
 
   it('throws from assemble() when a partial has an unhandled blockType', () => {
     const assembler = new BlockAssembler()
-    // Directly push a block-end for an image block whose block-start never
-    // called ensure — but the image block-type flows through normally.
-    // What we really need is a partial whose blockType is not text/reasoning/tool-call.
-    // We can achieve this via a block-start for 'image' followed by blocks().
-    assembler.push({ type: 'block-start', index: 0, blockType: 'image' } as unknown as StreamChunk)
-    expect(() => assembler.blocks()).toThrow('cannot assemble incomplete block of type "image"')
+    // A partial whose blockType is not text/reasoning/tool-call cannot be
+    // assembled without its block-end. A plugin-added block type (here
+    // 'video', via the merge-extensible ContentBlockMap) opened by a
+    // block-start with no closing block-end exercises that throw.
+    assembler.push({ type: 'block-start', index: 0, blockType: 'video' } as unknown as StreamChunk)
+    expect(() => assembler.blocks()).toThrow('cannot assemble incomplete block of type "video"')
   })
 
   it('mustGet throws when an index is missing from the partials map (invariant violation)', () => {

packages/llm/llm/tests/properties.spec.ts

@@ -81,7 +81,7 @@ describe('BlockAssembler properties', () => {
     fc.assert(fc.property(streamArb, (chunks) => {
       const blocks = feed(chunks).blocks()
       for (const block of blocks) {
-        expect(['text', 'reasoning', 'tool-call', 'tool-result', 'image']).toContain(block.type)
+        expect(['text', 'reasoning', 'tool-call', 'tool-result']).toContain(block.type)
       }
     }))
   })