Add two DeepSeek LLM adapters: dsh-llm-deepseek and dsh-llm-pi-ai

The first real LlmAdapter implementations, shipped as a deliberate pair:
same models and wire protocol, completely different internals, so the
StreamChunk protocol is verified across independent implementations.

- dsh-llm-deepseek: hand-rolled fetch + SSE parser + chunk-translation
  state machine against the official chat-completions format (thinking
  mode via top-level thinking/reasoning_effort; the empty-string
  reasoning_content first chunk; usage attached to the finish chunk or
  trailing; reasoning_content passback on tool-call turns; disjoint
  cache-token accounting).
- dsh-llm-pi-ai: the same endpoint through @earendil-works/pi-ai,
  mapping its event vocabulary (parsed tool arguments, in-stream error
  events, folded reasoning tokens) onto the same chunks.

The agent loop now honors the in-band error path: an adapter that ends
its stream with finish {kind:error|aborted} (the only option for
adapters that can't throw mid-stream, like pi-ai) is translated into a
step error, so the turn ends error/aborted with a logged error event
instead of a normal completed assistant message. This makes the
StreamChunk error contract real for both adapters; docs/architecture.md
and the StreamChunk doc are updated accordingly.

New yarn test:e2e (vitest.e2e.config.ts, *.e2e.ts) runs key-gated
real-API matrices for both adapters across V4 Flash/Pro and all
thinking/effort levels; it self-skips without DEEPSEEK_API_KEY. Unit
suites run against local node:http mock SSE servers at 100% per-file
coverage.

AGENTS.md

@@ -21,7 +21,9 @@ vendor/      Vendored Cordis framework source (original npm names, private).
              and the upstream sync procedure. Do NOT edit casually — every
              divergence must be logged there.
 packages/    Harness packages, all named @deepseek-ai/dsh-<name>:
-  llm/            abstract LLM service + content-block vocabulary (no real adapter yet)
+  llm/            abstract LLM service + content-block vocabulary
+  llm-deepseek/   DeepSeek API adapter (hand-rolled fetch/SSE)
+  llm-pi-ai/      DeepSeek adapter via @earendil-works/pi-ai (design twin)
   session/        event-sourced session log + in-memory store
   system-prompt/  prompt-section + tool-schema assembly registry
   tools/          tool registry + tools/execute waterfall
@@ -45,12 +47,29 @@ scripts/     repo maintenance scripts (vendor-manifest guard, publint runner).
 ```sh
 yarn install        # Yarn 4 workspaces (node-modules linker), node >= 24
 yarn test           # vitest run (packages/*/tests/**/*.spec.ts)
+yarn test:e2e       # real-API tests (packages|examples/*/tests/**/*.e2e.ts);
+                    # self-skips without DEEPSEEK_API_KEY — see Secrets below
 yarn typecheck      # tsc -b tsconfig.build.json (declarations only)
 yarn build          # typecheck + tsdown JS bundles into each package's lib/
 yarn demo           # run examples/echo-agent (needs --expose-internals, the
                     # script passes it; type "echo hi" to see a tool call)
 ```
 
+## Secrets / .env
+
+Real-API e2e tests (`yarn test:e2e`) read `DEEPSEEK_API_KEY` (and optionally
+`DEEPSEEK_BASE_URL`) from the environment, or from a gitignored `.env` at the
+repo root loaded via Node's native `process.loadEnvFile()`:
+
+```
+DEEPSEEK_API_KEY=sk-…
+DEEPSEEK_BASE_URL=https://…   # optional; defaults to the public API
+```
+
+cordis.yml configs reference env vars with the `!!js` tag:
+`apiKey: !!js process.env.DEEPSEEK_API_KEY`. Never commit real credentials;
+CI has no secrets and e2e suites must self-skip without them.
+
 Dev/test/demo run **unbuilt** via tsx + the `paths` map in the root
 `tsconfig.json` (`vitest` resolves through `tsconfig.test.json`). Building is
 only needed for publishing/consumption outside the repo — with one exception:
@@ -108,6 +127,15 @@ unresolved-type `no-unsafe-*` errors.
   `BashExecSpec` (required, what `run`/`start` act on); the tool layer calls
   `ctx.bash.resolve()` between them. The reader of a `BashExecSpec` never has
   to wonder where the working directory came from.
+- **An empty `catch` must name what it swallows and why nothing else can hit
+  it**: a bare `catch {}` hides bugs. When you deliberately ignore a throw, the
+  comment must (a) name the single expected failure, (b) say why ignoring it is
+  correct — usually because the useful state was already captured *before* the
+  `try` — and (c) make clear nothing else of consequence can reach the catch
+  (ideally the `try` wraps a single statement). Example: the error-body
+  `response.json()` parse in `dsh-llm-deepseek`'s adapter sets `code` + HTTP
+  `status` from the status line before the `try`, so a malformed provider body
+  can only cost a richer message, never the real error.
 - **Tests**: vitest, colocated under `packages/<name>/tests/*.spec.ts`. Every
   registry needs an HMR-safety test (dispose the contributing fiber, assert
   cleanup). **Excessive tests are welcome** — when in doubt, write the test;
@@ -132,12 +160,20 @@ tool authors zero-cast typed `execute` args, and the cost of the conditional
 types stays inside the core package.
 
 Verbose documentation is fine **as long as docs and code stay strictly in
-sync**. Out-of-sync docs are worse than no docs. Every module has a module-level
+sync**. Out-of-sync docs are worse than no docs. **When you change code, update
-doc comment explaining its role. Every exported class, interface, type,
+its docs in the SAME change** — grep the package README and the module/JSDoc
-function, and non-obvious method has a JSDoc that explains semantics (not just
+comments for the old behavior (config keys, defaults, error codes, wire field
-the name) — contracts (what events fire when), disposal behavior, error
+names, event names) and fix every hit. CI has no doc-sync gate, so this is on
-behavior, and extension intent. Internal helpers get docs only where non-obvious.
+the author. Every module has a module-level doc comment explaining its role.
-Prefer one-liners when one line suffices.
+Every exported class, interface, type, function, and non-obvious method has a
+JSDoc that explains semantics (not just the name) — contracts (what events fire
+when), disposal behavior, error behavior, and extension intent. Internal
+helpers get docs only where non-obvious. Prefer one-liners when one line
+suffices.
+
+**Editing these instructions**: `AGENTS.md` is the real file; `CLAUDE.md` is a
+symlink to it (at the repo root and in `packages/`). Always edit `AGENTS.md` —
+never write through the `CLAUDE.md` symlink or replace it with a regular file.
 
 ## Vendoring Policy
 

docs/architecture.md

@@ -112,9 +112,14 @@ into blocks/messages; the loop logs raw chunks (replay fidelity) while feeding
 the same chunks through an assembler.
 
 `LlmAdapter` is the provider seam: subclass, implement `stream()`, call
-`ctx.llm.registerAdapter(models, adapter)`.
+`ctx.llm.registerAdapter(models, adapter)`. Two real adapters implement it —
-**TODO**: the DeepSeek V4 adapter is the first real adapter (next phase); the
+`dsh-llm-deepseek` (hand-rolled fetch/SSE against the DeepSeek API) and
-streaming protocol gets a careful review then.
+`dsh-llm-pi-ai` (the same endpoint through the `@earendil-works/pi-ai`
+library). They exist as a pair deliberately: two independent internals over
+one contract verified the StreamChunk protocol, which is now documented (in
+`dsh-llm/src/types.ts`) with the conventions that review pinned down — usage
+before finish, nothing after finish, raw-string tool arguments, and the two
+sanctioned error paths (thrown vs `finish {kind:'error'}`).
 
 ## Event-sourced sessions (dsh-session)
 
@@ -206,6 +211,9 @@ forever:
       req = waterfall agent/request                   ⟵ hooks, compaction, model switch
       stream ctx.llm.stream(req)                      ⟵ waterfall llm/stream (raw chunks)
         session('assistant/chunk'); emit agent/stream-chunk
+      if assembler.finish is error/aborted: throw      ⟵ adapter's in-band error path →
+                                                         step error (turn ends error/aborted,
+                                                         not a normal completed message)
       msg = waterfall agent/step-result               ⟵ runs BEFORE the log append, so the
       session('assistant/message', 'usage')              log records what tool dispatch uses
       each tool-call (sequential, abort-checked between calls):
@@ -225,9 +233,12 @@ forever:
 
 Error containment: a throwing `agent/turn-continuation` listener or a
 rejecting `session/flush` ends the **turn** with an `error` event — never the
-driver loop. `abort()` is honored mid-stream **and** between tool calls;
+driver loop. An adapter that ends its stream with a `finish {kind:'error'}`
-disposal mid-turn ends the turn with reason `disposed` and emits
+or `{kind:'aborted'}` chunk (the in-band error path, for adapters that can't
-`agent/status('disposed')`.
+throw mid-stream) is likewise translated into a step error, so the turn ends
+`error`/`aborted` instead of logging a normal `completed` assistant message.
+`abort()` is honored mid-stream **and** between tool calls; disposal mid-turn
+ends the turn with reason `disposed` and emits `agent/status('disposed')`.
 
 ### Event taxonomy
 
@@ -293,7 +304,7 @@ implements it **without modifying the loop**:
 | Scheduled tasks (cron) | plugin registers model-callable scheduling tools; timer fires → `send(…, {source: {kind: 'cron', …}})` when idle / `inject()` notification when busy |
 | UI (GUI; CLI emits JSONL) | listen `agent/stream-chunk` + `session/event`; input → `send()` |
 | Telemetry / replayable trace | `session/event` → JSONL; replay = `sessions.create(id, seed)` |
-| DeepSeek V4 (and other) models | `LlmAdapter` subclass via `registerAdapter` |
+| DeepSeek V4 (and other) models | `LlmAdapter` subclass via `registerAdapter`. **Implemented twice**: `dsh-llm-deepseek` (hand-rolled) and `dsh-llm-pi-ai` (pi-ai-backed) |
 | Plugin hot-reload | every registration is a `ctx.effect` → vendored HMR just works |
 
 ## Extension cookbook
@@ -375,8 +386,6 @@ Tracked here deliberately — each is designed-for but not implemented:
 - **Compaction implementation** (auto thresholds, summarization prompts) on
   the `agent/request` seam, with its session-event types added by declaration
   merging.
-- **DeepSeek V4 adapter** — first real `LlmAdapter`; triggers the
-  streaming-protocol review (`TODO(review)` markers in dsh-llm).
 - **Parallel tool execution** (concurrency-safety hints on ToolDefinition).
 - **Session branching/tree** (pi-style entry tree) if needed beyond seed-based
   forking.

knip.json

@@ -10,6 +10,14 @@
     "packages/*": {
       "entry": ["tests/**/*.spec.ts"],
       "project": ["src/**/*.ts", "tests/**/*.ts"]
+    },
+    "packages/llm-deepseek": {
+      "entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
+      "project": ["src/**/*.ts", "tests/**/*.ts"]
+    },
+    "packages/llm-pi-ai": {
+      "entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
+      "project": ["src/**/*.ts", "tests/**/*.ts"]
     }
   }
 }

package.json

@@ -18,6 +18,7 @@
     "lint:fix": "eslint . --fix",
     "test": "vitest run",
     "test:coverage": "vitest run --coverage",
+    "test:e2e": "vitest run --config vitest.e2e.config.ts",
     "knip": "knip",
     "publint": "tsx scripts/publint-all.ts",
     "hygiene": "yarn knip && yarn publint && yarn constraints",

packages/AGENTS.md

@@ -22,6 +22,9 @@ Naming notes:
 - Files `src/index.ts` export the service default + all public types
 - `src/types.ts` contain only types — no runtime code
 - Tests live at package level under `tests/`, not `src/__tests__/`
+- A package's README and module/JSDoc comments are part of the change: when you
+  alter behavior (config keys, defaults, error codes, wire fields), update them
+  in the same commit. CI has no doc-sync gate, so stale docs are on the author.
 
 Read the per-package README.md for package-specific details: service API,
 events, extension points, TODOs.

packages/agent-loop/src/loop.ts

@@ -8,7 +8,7 @@
  */
 
 import type { Context } from 'cordis'
-import type { GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
+import type { FinishReason, GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
 import { BlockAssembler } from '@deepseek-ai/dsh-llm'
 import type { Session, TurnEndReason, TurnTrigger } from '@deepseek-ai/dsh-session'
 import { renderPrompt } from '@deepseek-ai/dsh-system-prompt'
@@ -23,6 +23,40 @@ function toError(error: unknown): CodedError {
   return error instanceof Error ? error : new Error(String(error))
 }
 
+/**
+ * Map a model-call {@link FinishReason} to the step error it should raise, or
+ * `undefined` when the step completed normally.
+ *
+ * Adapters report provider/transport failures one of two sanctioned ways (see
+ * the StreamChunk contract in dsh-llm): throw from `stream()` (handled by the
+ * caller's try/catch), OR end the stream with a finish-error/aborted chunk
+ * (the only option for adapters that can't throw mid-stream, e.g.
+ * library-backed ones). This translates the latter into a thrown step error
+ * so the turn ends error/aborted with a logged `error` event, never as a
+ * normal `completed` assistant message.
+ *
+ * `FinishReason` is merge-extensible (plugins/adapters can add `kind`s), so
+ * the switch handles the known terminal-failure kinds and treats every other
+ * kind — `stop`, `tool-calls`, `max-tokens`, future additions — as success.
+ */
+function finishError(finish: FinishReason): CodedError | undefined {
+  switch (finish.kind) {
+    case 'error': {
+      const error: CodedError = new Error(finish.message)
+      if (finish.code !== undefined) error.code = finish.code
+      return error
+    }
+    case 'aborted': {
+      const error: CodedError = new Error('model stream aborted')
+      error.code = 'ABORTED'
+      return error
+    }
+    // stop / tool-calls / max-tokens / plugin-added kinds → not a failure.
+    default:
+      return undefined
+  }
+}
+
 /**
  * Build the `{ message, code? }` part of an error payload, omitting the
  * `code` key entirely when absent (exactOptionalPropertyTypes-correct).
@@ -266,6 +300,14 @@ async function runStep(
     assembler.push(chunk)
   }
 
+  // Adapters report provider/transport failures one of two sanctioned ways
+  // (see the StreamChunk contract in dsh-llm): throw from stream() — already
+  // handled by the caller's try/catch — OR end the stream with a
+  // finish-error/aborted chunk. finishError() maps the latter to the step
+  // error to raise (turn ends error/aborted, not a normal completed message).
+  const stepError = finishError(assembler.finish)
+  if (stepError) throw stepError
+
   // The step-result waterfall runs BEFORE the session append so the log (the
   // source of truth for derived history and replay) records the message that
   // tool dispatch actually uses.

packages/agent-loop/tests/review-fixes.spec.ts

@@ -546,3 +546,67 @@ describe('LOW: discriminated SessionEvent narrows without casts', () => {
     }
   })
 })
+
+describe('HIGH: a finish-error stream chunk ends the turn as error, not completed', () => {
+  it('translates finish {kind:error} into a turn error with a logged error event', async () => {
+    // The second sanctioned adapter error path (besides throwing): an
+    // adapter that cannot throw mid-stream ends the stream with a
+    // finish-error chunk (e.g. the pi-ai adapter mapping a provider 401).
+    // The loop must NOT log a normal assistant/message + completed turn.
+    const errorStream: StreamChunk[] = [
+      { type: 'finish', reason: { kind: 'error', message: 'provider 401', code: 'AUTH' } },
+    ]
+    const adapter = new MockAdapter([errorStream])
+    const ctx = await harness(adapter)
+    const agent = ctx.agentLoop.create('a-finish-error', { model: 'mock' })
+
+    const reasons: TurnEndReason[] = []
+    ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
+
+    send(agent, 'go')
+    await waitForIdle(ctx, agent)
+
+    expect(reasons).toEqual([{ kind: 'error', message: 'provider 401', code: 'AUTH' }])
+
+    const events = [...agent.session.events]
+    expect(events.some(event => event.type === 'error'
+      && event.data.message === 'provider 401' && event.data.code === 'AUTH')).toBe(true)
+    // Crucially: no assistant/message was logged for the failed step.
+    expect(events.some(event => event.type === 'assistant/message')).toBe(false)
+  })
+
+  it('translates finish {kind:aborted} into a turn error coded ABORTED', async () => {
+    const abortedStream: StreamChunk[] = [
+      { type: 'finish', reason: { kind: 'aborted' } },
+    ]
+    const adapter = new MockAdapter([abortedStream])
+    const ctx = await harness(adapter)
+    const agent = ctx.agentLoop.create('a-finish-aborted', { model: 'mock' })
+
+    const reasons: TurnEndReason[] = []
+    ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
+
+    send(agent, 'go')
+    await waitForIdle(ctx, agent)
+
+    expect(reasons).toEqual([{ kind: 'error', message: 'model stream aborted', code: 'ABORTED' }])
+    expect([...agent.session.events].some(event => event.type === 'assistant/message')).toBe(false)
+  })
+
+  it('handles a finish error without a code (code key omitted)', async () => {
+    const errorStream: StreamChunk[] = [
+      { type: 'finish', reason: { kind: 'error', message: 'codeless failure' } },
+    ]
+    const adapter = new MockAdapter([errorStream])
+    const ctx = await harness(adapter)
+    const agent = ctx.agentLoop.create('a-finish-error-nocode', { model: 'mock' })
+
+    const reasons: TurnEndReason[] = []
+    ctx.on('agent/turn-end', (_agent, _turn, reason) => void reasons.push(reason))
+
+    send(agent, 'go')
+    await waitForIdle(ctx, agent)
+
+    expect(reasons).toEqual([{ kind: 'error', message: 'codeless failure' }])
+  })
+})

packages/llm-deepseek/README.md

@@ -0,0 +1,83 @@
+# @deepseek-ai/dsh-llm-deepseek
+
+DeepSeek chat-completions adapter for the harness LLM seam: hand-rolled
+`fetch` + SSE translation from the official wire format (source of truth:
+the API docs — guides/thinking_mode, guides/tool_calls,
+api/create-chat-completion) into the `StreamChunk` protocol.
+
+A second, independent implementation of the same seam exists in
+`@deepseek-ai/dsh-llm-pi-ai` (library-backed). Same Config shape — pick one
+per context (registering both for the same model names throws by design).
+
+## Config
+
+```yaml
+- id: llm-deepseek
+  name: '@deepseek-ai/dsh-llm-deepseek'
+  config:
+    apiKey: !!js process.env.DEEPSEEK_API_KEY    # or rely on the env fallback
+    baseURL: !!js process.env.DEEPSEEK_BASE_URL  # default: https://api.deepseek.com
+    models: [deepseek-v4-flash, deepseek-v4-pro] # one adapter, registered for each name
+    thinking: enabled        # optional; provider default is enabled
+    reasoningEffort: high    # optional; high | max — omitted ⇒ not sent
+```
+
+`models` lists every model name this one adapter instance serves: the adapter
+registers itself for each (the harness model name IS the wire `model` string),
+so a `generate`/`stream` call routes to it whenever `options.model` is any of
+them. Registering a second adapter for a name already taken throws
+`LlmError('DUPLICATE_ADAPTER')` (the LLM service enforces one adapter per
+model, all-or-nothing).
+
+`reasoningEffort` is **omitted by default** — when unset, the `reasoning_effort`
+wire field is not sent and the server applies its own default for the model.
+The only accepted values are `high` and `max` (DeepSeek's official effort
+levels). It is meaningful only with thinking enabled (the provider default).
+
+`thinking`/`reasoningEffort` are adapter-level request defaults serialized as
+the official top-level `thinking: {type}` / `reasoning_effort` wire fields.
+They live in adapter config (not `GenerateOptions`) to keep the core
+vocabulary provider-neutral.
+
+## Wire-format notes (verified live + against the official docs)
+
+- 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
+
+Non-2xx responses throw `LlmError` with stable codes: `AUTH` (401/403),
+`RATE_LIMIT` (429), `INVALID_REQUEST` (400), `SERVER` (5xx), `HTTP_<status>`
+otherwise. Protocol violations throw `STREAM_CLOSED` (no `[DONE]`) or
+`MALFORMED_RESPONSE` (bad JSON payload). Unknown wire `finish_reason`s
+(e.g. `content_filter`, `insufficient_system_resource`) become
+`finish {kind: 'error', code: <REASON>}` chunks.
+
+## Testing
+
+Unit suites run against a local `node:http` mock SSE server (no network).
+Real-API coverage lives in `tests/adapter.e2e.ts` (`yarn test:e2e`,
+key-gated): V4 Flash + V4 Pro across thinking enabled/disabled and both
+official effort levels, including the thinking+tools round trip with
+reasoning passback.

packages/llm-deepseek/package.json

@@ -0,0 +1,33 @@
+{
+  "name": "@deepseek-ai/dsh-llm-deepseek",
+  "description": "DeepSeek chat-completions adapter for the DeepSeek Harness LLM seam",
+  "version": "0.0.1",
+  "private": true,
+  "type": "module",
+  "main": "lib/index.js",
+  "types": "lib/index.d.ts",
+  "exports": {
+    ".": {
+      "types": "./lib/index.d.ts",
+      "default": "./lib/index.js"
+    },
+    "./src/*": "./src/*",
+    "./package.json": "./package.json"
+  },
+  "files": [
+    "lib",
+    "src"
+  ],
+  "license": "BSD-3-Clause",
+  "peerDependencies": {
+    "@deepseek-ai/dsh-llm": "^0.0.1",
+    "cordis": "^4.0.0-rc.6"
+  },
+  "dependencies": {
+    "schemastery": "^3.18.0"
+  },
+  "devDependencies": {
+    "@deepseek-ai/dsh-llm": "^0.0.1",
+    "cordis": "^4.0.0-rc.6"
+  }
+}

packages/llm-deepseek/src/adapter.ts

@@ -0,0 +1,101 @@
+/**
+ * `DeepSeekAdapter`: fetch + SSE against a DeepSeek (OpenAI-compatible)
+ * chat-completions endpoint, emitting harness StreamChunks.
+ *
+ * @module dsh-llm-deepseek/adapter
+ */
+
+import { LlmAdapter, LlmError } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
+import { serializeRequest } from './serialize.ts'
+import type { RequestDefaults } from './serialize.ts'
+import { parseSse } from './sse.ts'
+import { translate } from './translate.ts'
+import type { WireError } from './types.ts'
+
+export interface DeepSeekAdapterOptions {
+  apiKey: string
+  /** Endpoint base; `/chat/completions` is appended. */
+  baseURL: string
+  /** Request defaults applied to every call (thinking mode, effort). */
+  defaults?: RequestDefaults
+}
+
+/**
+ * Attribution header sent on every request so the provider can identify the
+ * client. Bump in lockstep with this package's version (no build-time version
+ * injection is wired in this repo yet).
+ */
+const USER_AGENT = 'deepseek-harness/0.0.1'
+
+/** Map an HTTP status to a stable LlmError code. */
+export function httpErrorCode(status: number): string {
+  if (status === 401 || status === 403) return 'AUTH'
+  if (status === 429) return 'RATE_LIMIT'
+  if (status === 400) return 'INVALID_REQUEST'
+  if (status >= 500) return 'SERVER'
+  return `HTTP_${status}`
+}
+
+/**
+ * The first real `LlmAdapter`. One instance serves every model name it was
+ * registered under (the harness model name IS the wire model name).
+ *
+ * Abort: `options.signal` is handed to fetch — both the initial request and
+ * the body stream reject on abort, which surfaces to the loop as a rejected
+ * step (the loop already contains step errors).
+ */
+export class DeepSeekAdapter extends LlmAdapter {
+  constructor(private readonly options: DeepSeekAdapterOptions) {
+    super()
+  }
+
+  async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
+    const body = serializeRequest(options, this.options.defaults ?? {})
+
+    // TODO(http): deliberately raw `fetch` for the hand-rolled SSE body.
+    // `@cordisjs/plugin-http` (ctx.http) would give proxy/intercept/timeout
+    // uniformity AND can stream (`responseType: 'stream'` yields the same
+    // ReadableStream<Uint8Array> parseSse consumes), but adopting it today
+    // costs a hard `undici` dependency (it does `require('undici')` with no
+    // globalThis.fetch fallback) plus an unconditional `@cordisjs/fetch-file`
+    // import (pulling file-type + mime-types) for a file:// path we never hit.
+    // Revisit when a second adapter wants shared proxy/intercept config.
+    const response = await fetch(`${this.options.baseURL}/chat/completions`, {
+      method: 'POST',
+      headers: {
+        'authorization': `Bearer ${this.options.apiKey}`,
+        'content-type': 'application/json',
+        'accept': 'text/event-stream',
+        'user-agent': USER_AGENT,
+      },
+      body: JSON.stringify(body),
+      ...options.signal ? { signal: options.signal } : {},
+    })
+
+    if (!response.ok) {
+      const code = httpErrorCode(response.status)
+      let message = `DeepSeek API error (HTTP ${response.status})`
+      try {
+        const parsed = await response.json() as WireError
+        if (parsed.error?.message) message = parsed.error.message
+      } catch {
+        // Paranoid by design: `code` and the HTTP status are ALREADY captured
+        // above (and passed to LlmError below), so the only thing this `try`
+        // can add is a richer provider-supplied message. A malformed, empty,
+        // or non-JSON error body is a normal thing for gateways/proxies to
+        // return on a 5xx/429 — swallowing the parse failure keeps the usable
+        // status-line message instead of letting a JSON.parse throw mask the
+        // real HTTP error. Nothing else reaches this catch: response.json()
+        // is the sole statement, and any non-parse failure (e.g. body already
+        // consumed) is equally non-actionable here.
+      }
+      throw new LlmError(message, code, response.status)
+    }
+    if (!response.body) {
+      throw new LlmError('DeepSeek API returned no response body', 'EMPTY_RESPONSE')
+    }
+
+    yield* translate(parseSse(response.body))
+  }
+}

packages/llm-deepseek/src/index.ts

@@ -0,0 +1,78 @@
+/**
+ * DeepSeek LLM adapter plugin: registers a {@link DeepSeekAdapter} for the
+ * configured model names on `ctx.llm`.
+ *
+ * Config is cordis-native (schemastery). Secrets flow per the repo policy:
+ * `apiKey` from cordis.yml via the `!!js` tag (`!!js process.env.DEEPSEEK_API_KEY`)
+ * or from the environment directly; never from ad-hoc files.
+ *
+ * ```yaml
+ * - id: llm-deepseek
+ *   name: '@deepseek-ai/dsh-llm-deepseek'
+ *   config:
+ *     apiKey: !!js process.env.DEEPSEEK_API_KEY
+ *     baseURL: !!js process.env.DEEPSEEK_BASE_URL
+ *     models: [deepseek-v4-flash, deepseek-v4-pro]
+ * ```
+ *
+ * @module @deepseek-ai/dsh-llm-deepseek
+ */
+
+import type { Context } from 'cordis'
+import z from 'schemastery'
+import type {} from '@deepseek-ai/dsh-llm'
+import { DeepSeekAdapter } from './adapter.ts'
+
+export { DeepSeekAdapter, httpErrorCode } from './adapter.ts'
+export type { DeepSeekAdapterOptions } from './adapter.ts'
+export { serializeMessages, serializeRequest } from './serialize.ts'
+export type { RequestDefaults } from './serialize.ts'
+export { DONE, parseSse } from './sse.ts'
+export { mapFinishReason, mapUsage, translate } from './translate.ts'
+export type * from './types.ts'
+
+export const name = 'llm-deepseek'
+export const inject = ['llm']
+
+export interface Config {
+  /** API key; falls back to $DEEPSEEK_API_KEY. Required one way or the other. */
+  apiKey?: string
+  /** Endpoint base; falls back to $DEEPSEEK_BASE_URL, then the public API. */
+  baseURL?: string
+  /** Model names to register (sent verbatim on the wire). */
+  models?: string[]
+  /** Thinking-mode default for every request (provider default: enabled). */
+  thinking?: 'enabled' | 'disabled'
+  /** Thinking effort (only meaningful with thinking enabled). */
+  reasoningEffort?: 'high' | 'max'
+}
+
+export const Config: z<Config> = z.object({
+  apiKey: z.string(),
+  baseURL: z.string(),
+  models: z.array(z.string()).default(['deepseek-v4-flash', 'deepseek-v4-pro']),
+  thinking: z.union(['enabled', 'disabled']),
+  reasoningEffort: z.union(['high', 'max']),
+})
+
+/** Public API default; the internal endpoint comes from $DEEPSEEK_BASE_URL. */
+export const PUBLIC_BASE_URL = 'https://api.deepseek.com'
+
+export function apply(ctx: Context, config: Config): void {
+  const apiKey = config.apiKey ?? process.env.DEEPSEEK_API_KEY
+  if (apiKey === undefined || apiKey.length === 0) {
+    throw new Error('llm-deepseek: an API key is required (Config.apiKey or $DEEPSEEK_API_KEY)')
+  }
+  const baseURL = config.baseURL ?? process.env.DEEPSEEK_BASE_URL ?? PUBLIC_BASE_URL
+  // schemastery's .default() guarantees models is set after validation.
+  const models = config.models as string[]
+
+  ctx.llm.registerAdapter(models, new DeepSeekAdapter({
+    apiKey,
+    baseURL,
+    defaults: {
+      thinking: config.thinking,
+      reasoningEffort: config.reasoningEffort,
+    },
+  }))
+}

packages/llm-deepseek/src/serialize.ts

@@ -0,0 +1,144 @@
+/**
+ * Serialize harness vocabulary (`GenerateOptions`, `Message[]`) into the
+ * DeepSeek chat-completions request body.
+ *
+ * Block-type mapping (core types handled explicitly; merge-extensible unions
+ * mean plugin-added block types exist — they are skipped, never errors):
+ *
+ * - user `text` → string content (joined)
+ * - assistant `text` → `content`; `reasoning` → `reasoning_content`, but
+ *   ONLY on assistant messages that carry tool calls (the official passback
+ *   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'
+
+/** Adapter-level request defaults (from plugin config). */
+export interface RequestDefaults {
+  thinking?: 'enabled' | 'disabled' | undefined
+  reasoningEffort?: 'high' | 'max' | undefined
+}
+
+/** Join the text blocks of a message (used for user/tool-result content). */
+function flattenText(blocks: ContentBlock[]): string {
+  return blocks
+    .filter(block => block.type === 'text')
+    .map(block => block.text)
+    .join('')
+}
+
+/** Serialize one assistant message (text + reasoning + tool calls). */
+function serializeAssistant(message: Message): WireMessage {
+  const text = flattenText(message.content)
+  const reasoning = message.content
+    .filter(block => block.type === 'reasoning')
+    .map(block => block.text)
+    .join('')
+  const toolCalls = message.content
+    .filter(block => block.type === 'tool-call')
+    .map(block => ({
+      id: block.id,
+      type: 'function' as const,
+      function: { name: block.name, arguments: block.arguments },
+    }))
+
+  return {
+    role: 'assistant',
+    // Tool-call turns send "" rather than null: the live API answers both,
+    // but the official samples replay message.content verbatim (which is ""
+    // for pure tool-call responses) and some gateways reject null outright.
+    content: text.length > 0 ? text : toolCalls.length > 0 ? '' : null,
+    // Official passback rule (guides/thinking_mode.mdx): reasoning_content
+    // must return on tool-call turns; it is ignored on plain turns, so we
+    // drop it there to save tokens.
+    ...toolCalls.length > 0 && reasoning.length > 0 ? { reasoning_content: reasoning } : {},
+    ...toolCalls.length > 0 ? { tool_calls: toolCalls } : {},
+  }
+}
+
+/**
+ * Serialize the conversation. `tool-result` blocks become standalone
+ * `{role: 'tool'}` messages; the harness puts each tool result in its own
+ * user-role message, so a mixed user message contributes its text first and
+ * its tool results as separate wire messages after.
+ */
+export function serializeMessages(messages: Message[]): WireMessage[] {
+  const wire: WireMessage[] = []
+  for (const message of messages) {
+    if (message.role === 'system') {
+      wire.push({ role: 'system', content: flattenText(message.content) })
+      continue
+    }
+    if (message.role === 'assistant') {
+      wire.push(serializeAssistant(message))
+      continue
+    }
+    // user role: tool results ride in user messages in the harness
+    // vocabulary, but DeepSeek wants them as role:'tool' messages.
+    const toolResults = message.content.filter(block => block.type === 'tool-result')
+    const text = flattenText(message.content)
+    if (text.length > 0 || toolResults.length === 0) {
+      wire.push({ role: 'user', content: text })
+    }
+    for (const result of toolResults) {
+      wire.push({
+        role: 'tool',
+        tool_call_id: result.toolCallId,
+        // Empty tool output still needs SOME content on the wire.
+        content: flattenText(result.content) || '(no output)',
+      })
+    }
+  }
+  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).
+ */
+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 })
+  }
+  messages.push(...serializeMessages(options.messages))
+
+  const tools: WireTool[] | undefined = options.tools?.map(tool => ({
+    type: 'function',
+    function: {
+      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 } : {},
+    },
+  }))
+
+  return {
+    model: options.model,
+    messages,
+    stream: true,
+    stream_options: { include_usage: true },
+    ...defaults.thinking !== undefined ? { thinking: { type: defaults.thinking } } : {},
+    ...defaults.reasoningEffort !== undefined ? { reasoning_effort: defaults.reasoningEffort } : {},
+    ...tools !== undefined && tools.length > 0 ? { tools } : {},
+    ...options.temperature !== undefined ? { temperature: options.temperature } : {},
+    ...options.maxTokens !== undefined ? { max_tokens: options.maxTokens } : {},
+    ...options.stop !== undefined ? { stop: options.stop } : {},
+  }
+}

packages/llm-deepseek/src/sse.ts

@@ -0,0 +1,71 @@
+/**
+ * Minimal SSE (text/event-stream) parser for the chat-completions stream.
+ *
+ * Yields each event's `data:` payload as a string, ending with the literal
+ * `'[DONE]'` sentinel so the consumer owns end-of-stream flushing. A stream
+ * that closes WITHOUT `[DONE]` is a protocol violation → `LlmError`.
+ *
+ * Handles the wire realities: payloads split across network reads at
+ * arbitrary byte positions (including mid-UTF-8), CRLF line endings,
+ * multi-`data:` events (joined with newlines per the SSE spec), comment
+ * lines, and non-data fields (ignored).
+ *
+ * @module dsh-llm-deepseek/sse
+ */
+
+import { LlmError } from '@deepseek-ai/dsh-llm'
+
+/** The terminal payload DeepSeek (and OpenAI) send after the last chunk. */
+export const DONE = '[DONE]'
+
+/** Extract the joined data payload from one raw SSE event block. */
+function eventData(block: string): string | undefined {
+  const data: string[] = []
+  for (const rawLine of block.split('\n')) {
+    const line = rawLine.endsWith('\r') ? rawLine.slice(0, -1) : rawLine
+    if (line.startsWith('data:')) {
+      // The spec strips ONE leading space after the colon.
+      data.push(line.startsWith('data: ') ? line.slice(6) : line.slice(5))
+    }
+    // Comments (':…') and other fields (event:, id:, retry:) are ignored.
+  }
+  if (data.length === 0) return undefined
+  return data.join('\n')
+}
+
+/**
+ * Parse a byte stream into SSE data payloads. Yields `[DONE]` as the final
+ * value and returns; throws `LlmError('STREAM_CLOSED')` when the stream ends
+ * without it (truncated response — the model call cannot be trusted).
+ */
+export async function* parseSse(stream: AsyncIterable<Uint8Array>): AsyncGenerator<string> {
+  const decoder = new TextDecoder()
+  let buffer = ''
+
+  for await (const bytes of stream) {
+    buffer += decoder.decode(bytes, { stream: true })
+    // Events are separated by a blank line (\n\n; tolerate \r\n\r\n via the
+    // per-line \r strip in eventData and a normalized split here).
+    let boundary: number
+    while ((boundary = buffer.search(/\r?\n\r?\n/)) !== -1) {
+      const matched = /\r?\n\r?\n/.exec(buffer.slice(boundary))
+      const block = buffer.slice(0, boundary)
+      // matched cannot be null: search() just found the same pattern at 0.
+      buffer = buffer.slice(boundary + (matched as RegExpExecArray)[0].length)
+      const data = eventData(block)
+      if (data === undefined) continue
+      yield data
+      if (data === DONE) return
+    }
+  }
+
+  // Flush any final un-terminated event (servers usually end with \n\n, but
+  // a trailing block without one is still parseable).
+  buffer += decoder.decode()
+  const data = eventData(buffer)
+  if (data !== undefined) {
+    yield data
+    if (data === DONE) return
+  }
+  throw new LlmError('SSE stream ended without [DONE]', 'STREAM_CLOSED')
+}

packages/llm-deepseek/src/translate.ts

@@ -0,0 +1,169 @@
+/**
+ * Translate DeepSeek wire chunks into the harness `StreamChunk` protocol.
+ *
+ * A small state machine over the SSE payload stream:
+ * - `delta.content` / `delta.reasoning_content` / `delta.tool_calls[i]` each
+ *   own one harness block (index allocated on first sight). The first
+ *   thinking-mode chunk carries `reasoning_content: ""` — that must NOT open
+ *   a reasoning block.
+ * - `finish_reason` and `usage` are DEFERRED: emitted only at the `[DONE]`
+ *   sentinel, so the wire's two usage shapes (attached to the finish chunk,
+ *   or a trailing usage-only chunk) both work and nothing ever follows
+ *   `finish`. Last usage wins.
+ *
+ * @module dsh-llm-deepseek/translate
+ */
+
+import { CallId, LlmError } from '@deepseek-ai/dsh-llm'
+import type { ContentBlock, FinishReason, StreamChunk, TokenUsage } from '@deepseek-ai/dsh-llm'
+import { DONE } from './sse.ts'
+import type { WireChunk, WireUsage } from './types.ts'
+
+/** One open block under assembly. */
+interface OpenBlock {
+  index: number
+  kind: 'text' | 'reasoning' | 'tool-call'
+  text: string
+  /** tool-call only */
+  callId?: string
+  name?: string
+}
+
+/** Map the wire finish_reason vocabulary to the harness FinishReason. */
+export function mapFinishReason(reason: string): FinishReason {
+  switch (reason) {
+    case 'stop': return { kind: 'stop' }
+    case 'tool_calls': return { kind: 'tool-calls' }
+    case 'length': return { kind: 'max-tokens' }
+    default:
+      // content_filter, insufficient_system_resource, future additions.
+      return { kind: 'error', message: `model stopped: ${reason}`, code: reason.toUpperCase() }
+  }
+}
+
+/**
+ * Map wire usage fields. DeepSeek's `prompt_tokens` INCLUDES cache hits
+ * (`prompt_tokens = prompt_cache_hit_tokens + prompt_cache_miss_tokens`,
+ * api/create-chat-completion); the harness TokenUsage convention is
+ * DISJOINT counts, so cache reads are subtracted out of `inputTokens`.
+ */
+export function mapUsage(usage: WireUsage): TokenUsage {
+  const cacheRead = usage.prompt_tokens_details?.cached_tokens ?? usage.prompt_cache_hit_tokens
+  const reasoning = usage.completion_tokens_details?.reasoning_tokens
+  return {
+    inputTokens: usage.prompt_tokens - (cacheRead ?? 0),
+    outputTokens: usage.completion_tokens,
+    ...cacheRead !== undefined ? { cacheReadTokens: cacheRead } : {},
+    ...reasoning !== undefined ? { reasoningTokens: reasoning } : {},
+  }
+}
+
+/** Assemble the final ContentBlock for one open block. */
+function closeBlock(block: OpenBlock): ContentBlock {
+  switch (block.kind) {
+    case 'text': return { type: 'text', text: block.text }
+    case 'reasoning': return { type: 'reasoning', text: block.text }
+    case 'tool-call': return {
+      type: 'tool-call',
+      id: CallId(block.callId ?? ''),
+      name: block.name ?? '',
+      arguments: block.text,
+    }
+  }
+}
+
+/**
+ * Consume SSE data payloads (ending with `[DONE]`) and yield StreamChunks.
+ * Malformed JSON payloads abort the stream with `MALFORMED_RESPONSE`.
+ */
+export async function* translate(payloads: AsyncIterable<string>): AsyncGenerator<StreamChunk> {
+  let nextIndex = 0
+  let textBlock: OpenBlock | undefined
+  let reasoningBlock: OpenBlock | undefined
+  const toolBlocks = new Map<number, OpenBlock>()
+  const order: OpenBlock[] = []
+  let pendingFinish: FinishReason | undefined
+  let pendingUsage: TokenUsage | undefined
+
+  function open(kind: OpenBlock['kind']): OpenBlock {
+    const block: OpenBlock = { index: nextIndex++, kind, text: '' }
+    order.push(block)
+    return block
+  }
+
+  for await (const payload of payloads) {
+    if (payload === DONE) {
+      for (const block of order) {
+        yield { type: 'block-end', index: block.index, block: closeBlock(block) }
+      }
+      if (pendingUsage) yield { type: 'usage', usage: pendingUsage }
+      yield { type: 'finish', reason: pendingFinish ?? { kind: 'stop' } }
+      return
+    }
+
+    let chunk: WireChunk
+    try {
+      chunk = JSON.parse(payload) as WireChunk
+    } catch {
+      throw new LlmError(`malformed SSE payload: ${payload.slice(0, 120)}`, 'MALFORMED_RESPONSE')
+    }
+
+    for (const choice of chunk.choices ?? []) {
+      const delta = choice.delta
+
+      // Reasoning first: thinking mode interleaves it before text. The
+      // empty-string first chunk must not open a block.
+      const reasoning = delta?.reasoning_content
+      if (typeof reasoning === 'string' && reasoning.length > 0) {
+        if (!reasoningBlock) {
+          reasoningBlock = open('reasoning')
+          yield { type: 'block-start', index: reasoningBlock.index, blockType: 'reasoning' }
+        }
+        reasoningBlock.text += reasoning
+        yield { type: 'reasoning-delta', index: reasoningBlock.index, text: reasoning }
+      }
+
+      const content = delta?.content
+      if (typeof content === 'string' && content.length > 0) {
+        if (!textBlock) {
+          textBlock = open('text')
+          yield { type: 'block-start', index: textBlock.index, blockType: 'text' }
+        }
+        textBlock.text += content
+        yield { type: 'text-delta', index: textBlock.index, text: content }
+      }
+
+      for (const call of delta?.tool_calls ?? []) {
+        let block = toolBlocks.get(call.index)
+        if (!block) {
+          block = open('tool-call')
+          toolBlocks.set(call.index, block)
+          yield { type: 'block-start', index: block.index, blockType: 'tool-call' }
+        }
+        if (call.id !== undefined) block.callId = call.id
+        if (call.function?.name !== undefined) block.name = call.function.name
+        const fragment = call.function?.arguments ?? ''
+        block.text += fragment
+        yield {
+          type: 'tool-call-delta',
+          index: block.index,
+          id: CallId(block.callId ?? ''),
+          ...block.name !== undefined ? { name: block.name } : {},
+          argumentsDelta: fragment,
+        }
+      }
+
+      if (typeof choice.finish_reason === 'string') {
+        pendingFinish = mapFinishReason(choice.finish_reason)
+      }
+    }
+
+    // Usage may arrive attached to the finish chunk or as a trailing
+    // usage-only chunk — keep the latest.
+    if (chunk.usage) pendingUsage = mapUsage(chunk.usage)
+  }
+
+  // parseSse guarantees the [DONE] sentinel (or throws); reaching here means
+  // the payload source violated that contract.
+  throw new LlmError('SSE payload stream ended without [DONE]', 'STREAM_CLOSED')
+}

packages/llm-deepseek/src/types.ts

@@ -0,0 +1,136 @@
+/**
+ * DeepSeek chat-completions wire format (OpenAI-compatible). Types only.
+ *
+ * Source of truth: the official API docs at
+ * `~/repos/deepsuite-docs/apps/docs/docs` (api/create-chat-completion,
+ * guides/thinking_mode.mdx, guides/tool_calls.md), cross-checked against
+ * live streams from the internal endpoint (2026-06).
+ *
+ * @module dsh-llm-deepseek/types
+ */
+
+/** Request body for `POST {baseURL}/chat/completions`. */
+export interface WireRequest {
+  model: string
+  messages: WireMessage[]
+  stream: true
+  stream_options: { include_usage: true }
+  /** Thinking-mode toggle (top level, NOT inside extra_body on the wire). */
+  thinking?: { type: 'enabled' | 'disabled' }
+  /** Thinking effort (official levels; low/medium map to high server-side). */
+  reasoning_effort?: 'high' | 'max'
+  tools?: WireTool[]
+  temperature?: number
+  max_tokens?: number
+  /**
+   * Stop sequences (OpenAI `stop`): generation halts as soon as the model
+   * produces any one of these strings. Mapped from `GenerateOptions.stop`.
+   */
+  stop?: string[]
+}
+
+/** System-role message: a single string of instructions. */
+export interface WireSystemMessage {
+  role: 'system'
+  content: string
+}
+
+/** User-role message: a single string of user input. */
+export interface WireUserMessage {
+  role: 'user'
+  content: string
+}
+
+/** Tool-role message: the result of one tool call, keyed by its call id. */
+export interface WireToolMessage {
+  role: 'tool'
+  tool_call_id: string
+  content: string
+}
+
+export type WireMessage =
+  | WireSystemMessage
+  | WireUserMessage
+  | WireAssistantMessage
+  | WireToolMessage
+
+export interface WireAssistantMessage {
+  role: 'assistant'
+  content: string | null
+  /**
+   * CoT passback. REQUIRED on assistant turns that carried tool calls
+   * (thinking mode); ignored on tool-call-free turns (we omit it there to
+   * save tokens). See guides/thinking_mode.mdx § Tool Calls.
+   */
+  reasoning_content?: string
+  tool_calls?: WireToolCall[]
+}
+
+export interface WireToolCall {
+  id: string
+  type: 'function'
+  function: { name: string; arguments: string }
+}
+
+export interface WireTool {
+  type: 'function'
+  function: {
+    name: string
+    description: string
+    parameters: Record<string, unknown>
+    /** Beta: strict schema adherence (official: requires the /beta base URL). */
+    strict?: boolean
+  }
+}
+
+/** One parsed SSE `data:` payload (a chat.completion.chunk). */
+export interface WireChunk {
+  choices?: WireChoice[]
+  /** Arrives attached to the finish chunk and/or as a trailing usage-only chunk. */
+  usage?: WireUsage | null
+}
+
+export interface WireChoice {
+  delta?: WireDelta
+  finish_reason?: string | null
+}
+
+export interface WireDelta {
+  role?: string
+  /** Visible text. Null/empty on reasoning/tool-call chunks. */
+  content?: string | null
+  /**
+   * Thinking-mode CoT. The FIRST chunk carries an empty string (must not
+   * open a reasoning block); absent entirely in non-thinking mode.
+   */
+  reasoning_content?: string | null
+  tool_calls?: WireToolCallDelta[]
+}
+
+export interface WireToolCallDelta {
+  /** Disambiguates parallel tool calls; stable across a call's deltas. */
+  index: number
+  /** Present on the first delta of each call only. */
+  id?: string
+  type?: 'function'
+  function?: {
+    /** Present on the first delta of each call only. */
+    name?: string
+    /** Argument JSON fragment (concatenate across deltas). */
+    arguments?: string
+  }
+}
+
+export interface WireUsage {
+  prompt_tokens: number
+  completion_tokens: number
+  prompt_cache_hit_tokens?: number
+  prompt_cache_miss_tokens?: number
+  prompt_tokens_details?: { cached_tokens?: number }
+  completion_tokens_details?: { reasoning_tokens?: number }
+}
+
+/** Non-2xx error body. */
+export interface WireError {
+  error?: { message?: string; type?: string; code?: string }
+}

packages/llm-deepseek/tests/adapter.e2e.ts

@@ -0,0 +1,142 @@
+import { describe, expect, it } from 'vitest'
+import { Context } from 'cordis'
+import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
+import type { GenerateResult, Message, ToolSchema } from '@deepseek-ai/dsh-llm'
+import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
+import type { Config } from '@deepseek-ai/dsh-llm-deepseek'
+
+/**
+ * Real-API e2e for the hand-rolled adapter: V4 Flash + V4 Pro across
+ * thinking modes and both official effort levels. Key-gated — skips
+ * entirely without $DEEPSEEK_API_KEY (see vitest.e2e.config.ts).
+ */
+
+const FLASH = 'deepseek-v4-flash'
+const PRO = 'deepseek-v4-pro'
+
+async function harness(model: string, config: Partial<Config> = {}) {
+  const ctx = new Context()
+  await ctx.plugin(LlmService)
+  await ctx.plugin(LlmDeepSeek, { models: [model], ...config })
+  return ctx
+}
+
+function ask(text: string): Message[] {
+  return [{ role: 'user', content: [{ type: 'text', text }] }]
+}
+
+function textOf(result: GenerateResult): string {
+  return result.message.content
+    .filter(block => block.type === 'text')
+    .map(block => block.text)
+    .join('')
+}
+
+const weatherTool: ToolSchema = {
+  name: 'get_weather',
+  description: 'Get the current weather for a city.',
+  parameters: {
+    type: 'object',
+    properties: { city: { type: 'string', description: 'City name' } },
+    required: ['city'],
+  },
+}
+
+describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-deepseek e2e (real API)', () => {
+  it('flash + thinking disabled: plain text generation', async () => {
+    const ctx = await harness(FLASH, { thinking: 'disabled' })
+    const result = await ctx.llm.generate({
+      model: FLASH,
+      messages: ask('Reply with exactly the word: pong'),
+      maxTokens: 50,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(textOf(result).toLowerCase()).toContain('pong')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
+    expect(result.usage?.inputTokens).toBeGreaterThan(0)
+    expect(result.usage?.outputTokens).toBeGreaterThan(0)
+  })
+
+  it('flash + thinking enabled (effort high): reasoning blocks + reasoning tokens', async () => {
+    const ctx = await harness(FLASH, { thinking: 'enabled', reasoningEffort: 'high' })
+    const result = await ctx.llm.generate({
+      model: FLASH,
+      messages: ask('Which is larger, 9.11 or 9.8? Answer with just the number.'),
+      maxTokens: 2000,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(true)
+    expect(textOf(result)).toContain('9.8')
+    expect(result.usage?.reasoningTokens).toBeGreaterThan(0)
+  })
+
+  it.each(['high', 'max'] as const)(
+    'pro + thinking enabled (effort %s): tool-call round trip with reasoning passback',
+    async (effort) => {
+      const ctx = await harness(PRO, { thinking: 'enabled', reasoningEffort: effort })
+
+      // Turn 1: the model must call the tool (and think before it).
+      const first = await ctx.llm.generate({
+        model: PRO,
+        messages: ask('What is the weather in Paris right now? Use the get_weather tool.'),
+        tools: [weatherTool],
+        maxTokens: 2000,
+      })
+      expect(first.finish.kind).toBe('tool-calls')
+      const call = first.message.content.find(block => block.type === 'tool-call')
+      expect(call).toBeDefined()
+      expect(call!.name).toBe('get_weather')
+      expect(JSON.parse(call!.arguments)).toMatchObject({ city: expect.stringMatching(/paris/i) as string })
+
+      // Turn 2: send the tool result back WITH the assistant's reasoning
+      // block in history (the official thinking+tools passback rule).
+      const second = await ctx.llm.generate({
+        model: PRO,
+        messages: [
+          ...ask('What is the weather in Paris right now? Use the get_weather tool.'),
+          { role: 'assistant', content: first.message.content },
+          {
+            role: 'user',
+            content: [{
+              type: 'tool-result',
+              toolCallId: CallId(call!.id),
+              content: [{ type: 'text', text: 'Sunny, 22°C' }],
+            }],
+          },
+        ],
+        tools: [weatherTool],
+        maxTokens: 2000,
+      })
+      expect(second.finish.kind).toBe('stop')
+      expect(textOf(second).toLowerCase()).toMatch(/sunny|22/)
+    },
+  )
+
+  it('pro + thinking disabled: plain generation without reasoning blocks', async () => {
+    const ctx = await harness(PRO, { thinking: 'disabled' })
+    const result = await ctx.llm.generate({
+      model: PRO,
+      messages: ask('Reply with exactly the word: pong'),
+      maxTokens: 50,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
+  })
+
+  it('streams raw chunks in protocol order', async () => {
+    const ctx = await harness(FLASH, { thinking: 'disabled' })
+    const kinds: string[] = []
+    for await (const chunk of ctx.llm.stream({
+      model: FLASH,
+      messages: ask('Count from 1 to 5, digits only.'),
+      maxTokens: 50,
+    })) {
+      kinds.push(chunk.type)
+    }
+    expect(kinds[0]).toBe('block-start')
+    expect(kinds.at(-1)).toBe('finish')
+    expect(kinds.filter(kind => kind === 'finish')).toHaveLength(1)
+    // usage precedes finish (deferred-emit contract)
+    expect(kinds.indexOf('usage')).toBeLessThan(kinds.indexOf('finish'))
+  })
+})

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

@@ -0,0 +1,309 @@
+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, { LlmError } from '@deepseek-ai/dsh-llm'
+import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
+import { DeepSeekAdapter, httpErrorCode } from '@deepseek-ai/dsh-llm-deepseek'
+
+/** One scripted behavior for the next request the mock server receives. */
+type Behavior =
+  | { kind: 'sse'; events: string[]; delayMs?: number }
+  | { kind: 'http-error'; status: number; body: string; contentType?: string }
+  | { kind: 'close-early'; events: string[] }
+
+interface MockServer {
+  url: string
+  /** Bodies of received requests, in order. */
+  requests: unknown[]
+  /** Header bags of received requests, in order (parallel to `requests`). */
+  headers: IncomingMessage['headers'][]
+  script: Behavior[]
+  close(): Promise<void>
+}
+
+const servers: Server[] = []
+
+afterEach(async () => {
+  await Promise.all(servers.splice(0).map(server => new Promise(resolve => server.close(resolve))))
+  vi.unstubAllEnvs()
+})
+
+/** Local chat-completions stand-in: replays scripted behaviors per request. */
+async function mockServer(script: Behavior[]): Promise<MockServer> {
+  const requests: unknown[] = []
+  const headers: IncomingMessage['headers'][] = []
+  const server = createServer((request: IncomingMessage, response: ServerResponse) => {
+    let body = ''
+    request.on('data', (chunk: Buffer) => { body += chunk.toString('utf8') })
+    request.on('end', () => {
+      requests.push(JSON.parse(body))
+      headers.push(request.headers)
+      const behavior = script.shift()
+      if (!behavior) {
+        response.writeHead(500).end('mock script exhausted')
+        return
+      }
+      if (behavior.kind === 'http-error') {
+        response.writeHead(behavior.status, { 'content-type': behavior.contentType ?? 'application/json' })
+        response.end(behavior.body)
+        return
+      }
+      response.writeHead(200, { 'content-type': 'text/event-stream' })
+      const write = (index: number): void => {
+        if (index >= behavior.events.length) {
+          if (behavior.kind === 'sse') response.end()
+          else response.destroy() // close-early: drop the socket mid-stream
+          return
+        }
+        response.write(`data: ${behavior.events[index]}\n\n`)
+        setTimeout(() => { write(index + 1) }, behavior.kind === 'sse' ? behavior.delayMs ?? 0 : 5)
+      }
+      write(0)
+    })
+  })
+  servers.push(server)
+  await new Promise<void>(resolve => server.listen(0, '127.0.0.1', resolve))
+  const address = server.address()
+  if (address === null || typeof address === 'string') throw new Error('no port')
+  return {
+    url: `http://127.0.0.1:${address.port}`,
+    requests,
+    headers,
+    script,
+    close: () => new Promise(resolve => server.close(() => { resolve() })),
+  }
+}
+
+const textEvents = [
+  '{"choices":[{"delta":{"role":"assistant","content":null,"reasoning_content":""}}]}',
+  '{"choices":[{"delta":{"content":"hello"}}]}',
+  '{"choices":[{"delta":{"content":""},"finish_reason":"stop"}],"usage":{"prompt_tokens":3,"completion_tokens":1}}',
+  '[DONE]',
+]
+
+async function harness(baseURL: string, config: object = {}) {
+  const ctx = new Context()
+  await ctx.plugin(LlmService)
+  await ctx.plugin(LlmDeepSeek, { apiKey: 'test-key', baseURL, models: ['deepseek-v4-flash'], ...config })
+  return ctx
+}
+
+describe('DeepSeekAdapter against a mock server', () => {
+  it('streams a text generation end to end through ctx.llm.generate', async () => {
+    const server = await mockServer([{ kind: 'sse', events: textEvents }])
+    const ctx = await harness(server.url)
+
+    const result = await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })
+    expect(result.message.content).toEqual([{ type: 'text', text: 'hello' }])
+    expect(result.finish).toEqual({ kind: 'stop' })
+    expect(result.usage).toEqual({ inputTokens: 3, outputTokens: 1 })
+
+    // The wire request carried the auth header contents we configured.
+    expect(server.requests[0]).toMatchObject({
+      model: 'deepseek-v4-flash',
+      stream: true,
+      stream_options: { include_usage: true },
+    })
+    // Attribution header identifies the harness to the provider.
+    expect(server.headers[0]?.['user-agent']).toMatch(/^deepseek-harness\//)
+  })
+
+  it('streams raw chunks through ctx.llm.stream', async () => {
+    const server = await mockServer([{ kind: 'sse', events: textEvents, delayMs: 2 }])
+    const ctx = await harness(server.url)
+
+    const kinds: string[] = []
+    for await (const chunk of ctx.llm.stream({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })) {
+      kinds.push(chunk.type)
+    }
+    expect(kinds).toEqual(['block-start', 'text-delta', 'block-end', 'usage', 'finish'])
+  })
+
+  it('forwards thinking config onto the wire', async () => {
+    const server = await mockServer([{ kind: 'sse', events: textEvents }])
+    const ctx = await harness(server.url, { thinking: 'disabled', reasoningEffort: 'high' })
+
+    await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })
+    expect(server.requests[0]).toMatchObject({
+      thinking: { type: 'disabled' },
+      reasoning_effort: 'high',
+    })
+  })
+
+  it.each([
+    [401, 'AUTH'],
+    [403, 'AUTH'],
+    [429, 'RATE_LIMIT'],
+    [400, 'INVALID_REQUEST'],
+    [500, 'SERVER'],
+    [503, 'SERVER'],
+  ])('maps HTTP %d to LlmError code %s with the body message', async (status, code) => {
+    const behavior: Behavior = {
+      kind: 'http-error',
+      status,
+      body: JSON.stringify({ error: { message: `failed with ${status}`, type: 't', code: 'c' } }),
+    }
+    const server = await mockServer([behavior, behavior, behavior])
+    const ctx = await harness(server.url)
+    await expect(ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] }))
+      .rejects.toThrow(`failed with ${status}`)
+    await expect(
+      ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+        .catch((error: unknown) => (error as LlmError).code),
+    ).resolves.toBe(code)
+    // The numeric HTTP status is carried on the error for explicit handling.
+    await expect(
+      ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+        .catch((error: unknown) => (error as LlmError).status),
+    ).resolves.toBe(status)
+  })
+
+  it('keeps the status-line message for JSON error bodies without a message', async () => {
+    const server = await mockServer([{ kind: 'http-error', status: 500, body: '{"error":{"type":"x"}}' }])
+    const ctx = await harness(server.url)
+    await expect(ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] }))
+      .rejects.toThrow(/HTTP 500/)
+  })
+
+  it('keeps the status-line message for non-JSON error bodies', async () => {
+    const server = await mockServer([{ kind: 'http-error', status: 502, body: 'Bad Gateway', contentType: 'text/plain' }])
+    const ctx = await harness(server.url)
+    await expect(ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] }))
+      .rejects.toThrow(/HTTP 502/)
+  })
+
+  it('maps unusual statuses to HTTP_<status>', () => {
+    expect(httpErrorCode(418)).toBe('HTTP_418')
+  })
+
+  it('throws EMPTY_RESPONSE when the response has no body', async () => {
+    const adapter = new DeepSeekAdapter({ apiKey: 'k', baseURL: 'http://127.0.0.1:1' })
+    const fetchSpy = vi.spyOn(globalThis, 'fetch').mockResolvedValue(
+      new Response(null, { status: 200 }),
+    )
+    try {
+      const iterate = async (): Promise<void> => {
+        for await (const _chunk of adapter.stream({ model: 'm', messages: [] })) { /* drain */ }
+      }
+      await expect(iterate()).rejects.toThrow(/no response body/)
+    } finally {
+      fetchSpy.mockRestore()
+    }
+  })
+
+  it('rejects with STREAM_CLOSED when the server drops mid-stream', async () => {
+    const server = await mockServer([{
+      kind: 'close-early',
+      events: ['{"choices":[{"delta":{"content":"par"}}]}'],
+    }])
+    const ctx = await harness(server.url)
+    await expect(ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] }))
+      .rejects.toThrow(/terminated|socket|without \[DONE\]/)
+  })
+
+  it('aborts mid-stream via the request signal', async () => {
+    const server = await mockServer([{ kind: 'sse', events: textEvents, delayMs: 50 }])
+    const ctx = await harness(server.url)
+    const controller = new AbortController()
+
+    const pending = (async () => {
+      const chunks = []
+      for await (const chunk of ctx.llm.stream({
+        model: 'deepseek-v4-flash',
+        messages: [],
+        signal: controller.signal,
+      })) {
+        chunks.push(chunk)
+      }
+      return chunks
+    })()
+
+    setTimeout(() => { controller.abort() }, 30)
+    await expect(pending).rejects.toThrow()
+  })
+})
+
+describe('plugin registration and config', () => {
+  it('registers the configured models and unregisters on dispose (HMR safety)', async () => {
+    const server = await mockServer([])
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const fiber = await ctx.plugin(LlmDeepSeek, {
+      apiKey: 'k',
+      baseURL: server.url,
+      models: ['deepseek-v4-flash', 'deepseek-v4-pro'],
+    })
+    expect(ctx.llm.models().sort()).toEqual(['deepseek-v4-flash', 'deepseek-v4-pro'])
+    await fiber.dispose()
+    expect(ctx.llm.models()).toEqual([])
+  })
+
+  it('defaults the model list', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmDeepSeek, { apiKey: 'k', baseURL: 'http://127.0.0.1:1' })
+    expect(ctx.llm.models().sort()).toEqual(['deepseek-v4-flash', 'deepseek-v4-pro'])
+  })
+
+  it('falls back to DEEPSEEK_API_KEY and DEEPSEEK_BASE_URL env vars', async () => {
+    vi.stubEnv('DEEPSEEK_API_KEY', 'env-key')
+    vi.stubEnv('DEEPSEEK_BASE_URL', 'http://127.0.0.1:1')
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmDeepSeek, {})
+    expect(ctx.llm.models().length).toBeGreaterThan(0)
+  })
+
+  it('throws a clear error when no API key is available', async () => {
+    vi.stubEnv('DEEPSEEK_API_KEY', '')
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await expect(ctx.plugin(LlmDeepSeek, {}))
+      .rejects.toThrow(/an API key is required/)
+    expect(ctx.llm.models()).toEqual([])
+  })
+
+  it('prefers explicit config over env for key and base URL', async () => {
+    vi.stubEnv('DEEPSEEK_API_KEY', 'env-key')
+    vi.stubEnv('DEEPSEEK_BASE_URL', 'http://env-host:1')
+    const server = await mockServer([{ kind: 'sse', events: textEvents }])
+    const ctx = await harness(server.url) // harness passes explicit config
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(server.requests).toHaveLength(1) // hit the explicit URL, not env
+  })
+
+  it('uses DEEPSEEK_BASE_URL when config omits baseURL', async () => {
+    const server = await mockServer([{ kind: 'sse', events: textEvents }])
+    vi.stubEnv('DEEPSEEK_BASE_URL', server.url)
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmDeepSeek, { apiKey: 'k', models: ['deepseek-v4-flash'] })
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(server.requests).toHaveLength(1)
+  })
+
+  it('defaults to the public base URL without config or env', async () => {
+    vi.stubEnv('DEEPSEEK_API_KEY', 'k')
+    vi.stubEnv('DEEPSEEK_BASE_URL', undefined)
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    // Registration succeeds; no call is made (would hit api.deepseek.com).
+    await ctx.plugin(LlmDeepSeek, {})
+    expect(ctx.llm.models().length).toBeGreaterThan(0)
+  })
+
+  it('adapter is constructible directly for embedding', () => {
+    const adapter = new DeepSeekAdapter({ apiKey: 'k', baseURL: 'http://127.0.0.1:1' })
+    expect(adapter).toBeInstanceOf(DeepSeekAdapter)
+  })
+})

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

@@ -0,0 +1,210 @@
+import { describe, expect, it } from 'vitest'
+import { CallId, LlmError } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
+import { serializeMessages, serializeRequest } from '@deepseek-ai/dsh-llm-deepseek'
+
+function request(overrides: Partial<GenerateOptions> = {}): GenerateOptions {
+  return { model: 'deepseek-v4-flash', messages: [], ...overrides }
+}
+
+describe('serializeMessages', () => {
+  it('maps user text to string content', () => {
+    const wire = serializeMessages([
+      { role: 'user', content: [{ type: 'text', text: 'hello ' }, { type: 'text', text: 'world' }] },
+    ])
+    expect(wire).toEqual([{ role: 'user', content: 'hello world' }])
+  })
+
+  it('maps system-role messages in history', () => {
+    const wire = serializeMessages([
+      { role: 'system', content: [{ type: 'text', text: 'be brief' }] },
+    ])
+    expect(wire).toEqual([{ role: 'system', content: 'be brief' }])
+  })
+
+  it('maps plain assistant text without reasoning_content', () => {
+    const wire = serializeMessages([
+      {
+        role: 'assistant',
+        content: [
+          { type: 'reasoning', text: 'thinking…' },
+          { type: 'text', text: 'answer' },
+        ],
+      },
+    ])
+    // Tool-call-free turn: reasoning is dropped (ignored by the API anyway).
+    expect(wire).toEqual([{ role: 'assistant', content: 'answer' }])
+  })
+
+  it('passes reasoning_content back on tool-call turns (official passback rule)', () => {
+    const wire = serializeMessages([
+      {
+        role: 'assistant',
+        content: [
+          { type: 'reasoning', text: 'I should check the weather.' },
+          { type: 'tool-call', id: CallId('call-1'), name: 'get_weather', arguments: '{"city":"Paris"}' },
+        ],
+      },
+    ])
+    expect(wire).toEqual([{
+      role: 'assistant',
+      // "" (not null) on tool-call turns — mirrors the official samples'
+      // verbatim message replay; some gateways reject null.
+      content: '',
+      reasoning_content: 'I should check the weather.',
+      tool_calls: [{ id: 'call-1', type: 'function', function: { name: 'get_weather', arguments: '{"city":"Paris"}' } }],
+    }])
+  })
+
+  it('serializes parallel tool calls in order', () => {
+    const wire = serializeMessages([
+      {
+        role: 'assistant',
+        content: [
+          { type: 'tool-call', id: CallId('a'), name: 'one', arguments: '{}' },
+          { type: 'tool-call', id: CallId('b'), name: 'two', arguments: '{}' },
+        ],
+      },
+    ])
+    const assistant = wire[0] as { tool_calls: { id: string }[] }
+    expect(assistant.tool_calls.map(call => call.id)).toEqual(['a', 'b'])
+  })
+
+  it('turns tool results into role:tool messages', () => {
+    const wire = serializeMessages([
+      {
+        role: 'user',
+        content: [{
+          type: 'tool-result',
+          toolCallId: CallId('call-1'),
+          content: [{ type: 'text', text: 'Sunny 22C' }],
+        }],
+      },
+    ])
+    expect(wire).toEqual([{ role: 'tool', tool_call_id: 'call-1', content: 'Sunny 22C' }])
+  })
+
+  it('sends a sentinel for empty tool-result content', () => {
+    const wire = serializeMessages([
+      {
+        role: 'user',
+        content: [{ type: 'tool-result', toolCallId: CallId('call-1'), content: [] }],
+      },
+    ])
+    expect(wire).toEqual([{ role: 'tool', tool_call_id: 'call-1', content: '(no output)' }])
+  })
+
+  it('splits mixed user text + tool results into separate wire messages', () => {
+    const wire = serializeMessages([
+      {
+        role: 'user',
+        content: [
+          { type: 'text', text: 'context note' },
+          { type: 'tool-result', toolCallId: CallId('call-1'), content: [{ type: 'text', text: 'ok' }] },
+        ],
+      },
+    ])
+    expect(wire).toEqual([
+      { role: 'user', content: 'context note' },
+      { role: 'tool', tool_call_id: 'call-1', content: 'ok' },
+    ])
+  })
+
+  it('skips image blocks (documented MVP limitation)', () => {
+    const wire = serializeMessages([
+      { role: 'user', content: [{ type: 'image', url: 'data:image/png;base64,x' }, { type: 'text', text: 'see image' }] },
+    ])
+    expect(wire).toEqual([{ role: 'user', content: 'see image' }])
+  })
+
+  it('emits an empty user message rather than dropping block-less messages', () => {
+    const wire = serializeMessages([{ role: 'user', content: [] }])
+    expect(wire).toEqual([{ role: 'user', content: '' }])
+  })
+})
+
+describe('serializeRequest', () => {
+  const history: Message[] = [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }]
+
+  it('always streams with usage and maps the basics', () => {
+    const wire = serializeRequest(request({ messages: history }))
+    expect(wire).toEqual({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: 'hi' }],
+      stream: true,
+      stream_options: { include_usage: true },
+    })
+  })
+
+  it('prepends the system prompt', () => {
+    const wire = serializeRequest(request({ messages: history, system: 'be helpful' }))
+    expect(wire.messages[0]).toEqual({ role: 'system', content: 'be helpful' })
+    expect(wire.messages[1]).toEqual({ role: 'user', content: 'hi' })
+  })
+
+  it('maps sampling params and stop sequences', () => {
+    const wire = serializeRequest(request({ messages: history, temperature: 0.2, maxTokens: 100, stop: ['END'] }))
+    expect(wire.temperature).toBe(0.2)
+    expect(wire.max_tokens).toBe(100)
+    expect(wire.stop).toEqual(['END'])
+  })
+
+  it('maps tools with strict passthrough', () => {
+    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 },
+      ],
+    }))
+    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 } },
+    ])
+  })
+
+  it('omits an empty tools array', () => {
+    const wire = serializeRequest(request({ messages: history, tools: [] }))
+    expect(wire.tools).toBeUndefined()
+  })
+
+  it('applies adapter defaults for thinking and effort', () => {
+    const wire = serializeRequest(request({ messages: history }), { thinking: 'enabled', reasoningEffort: 'max' })
+    expect(wire.thinking).toEqual({ type: 'enabled' })
+    expect(wire.reasoning_effort).toBe('max')
+  })
+
+  it('omits thinking fields when unset (provider default applies)', () => {
+    const wire = serializeRequest(request({ messages: history }))
+    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', () => {
+  it('serializes a content-less, tool-call-less assistant message as null content', () => {
+    // Aborted/empty assistant turns: no text, no calls → null (the wire
+    // accepts it; "" is reserved for tool-call turns per the samples).
+    const wire = serializeMessages([{ role: 'assistant', content: [] }])
+    expect(wire).toEqual([{ role: 'assistant', content: null }])
+  })
+
+  it('serializes tool-call turns with empty string content, not null', () => {
+    const wire = serializeMessages([{
+      role: 'assistant',
+      content: [{ type: 'tool-call', id: CallId('c'), name: 'f', arguments: '{}' }],
+    }])
+    expect(wire[0]).toMatchObject({ content: '' })
+  })
+})

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

@@ -0,0 +1,108 @@
+import { describe, expect, it } from 'vitest'
+import { LlmError } from '@deepseek-ai/dsh-llm'
+import { DONE, parseSse } from '@deepseek-ai/dsh-llm-deepseek'
+
+/** Build a byte stream from string fragments (fragments = network reads). */
+async function* bytes(...fragments: (string | Uint8Array)[]): AsyncGenerator<Uint8Array> {
+  const encoder = new TextEncoder()
+  for (const fragment of fragments) {
+    yield typeof fragment === 'string' ? encoder.encode(fragment) : fragment
+  }
+}
+
+async function collect(stream: AsyncIterable<string>): Promise<string[]> {
+  const out: string[] = []
+  for await (const item of stream) out.push(item)
+  return out
+}
+
+describe('parseSse', () => {
+  it('parses simple events and the DONE sentinel', async () => {
+    const events = await collect(parseSse(bytes('data: {"a":1}\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('handles events split across reads at arbitrary positions', async () => {
+    const events = await collect(parseSse(bytes('da', 'ta: {"a"', ':1}\n', '\ndata: [DO', 'NE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('handles multi-byte UTF-8 split across reads', async () => {
+    const encoded = new TextEncoder().encode('data: {"text":"日本語"}\n\ndata: [DONE]\n\n')
+    // Split inside the 3-byte sequence for 日.
+    const splitAt = 16
+    const events = await collect(parseSse(bytes(encoded.slice(0, splitAt), encoded.slice(splitAt))))
+    expect(events).toEqual(['{"text":"日本語"}', DONE])
+  })
+
+  it('tolerates CRLF line endings', async () => {
+    const events = await collect(parseSse(bytes('data: {"a":1}\r\n\r\ndata: [DONE]\r\n\r\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('joins multi-data events with newlines (SSE spec)', async () => {
+    const events = await collect(parseSse(bytes('data: line1\ndata: line2\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['line1\nline2', DONE])
+  })
+
+  it('ignores comments and non-data fields', async () => {
+    const events = await collect(parseSse(bytes(': keepalive\nevent: chunk\nid: 7\ndata: {"a":1}\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('skips blocks without data fields', async () => {
+    const events = await collect(parseSse(bytes(': ping\n\ndata: {"a":1}\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('preserves data lines without the optional space', async () => {
+    const events = await collect(parseSse(bytes('data:{"a":1}\n\ndata:[DONE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('parses several events from one read', async () => {
+    const events = await collect(parseSse(bytes('data: 1\n\ndata: 2\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['1', '2', DONE])
+  })
+
+  it('flushes a final un-terminated DONE at stream end', async () => {
+    const events = await collect(parseSse(bytes('data: {"a":1}\n\ndata: [DONE]')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('throws STREAM_CLOSED when the stream ends without DONE', async () => {
+    await expect(collect(parseSse(bytes('data: {"a":1}\n\n')))).rejects.toThrow(LlmError)
+    await expect(collect(parseSse(bytes('data: {"a":1}\n\n')))).rejects.toThrow(/without \[DONE\]/)
+  })
+
+  it('throws STREAM_CLOSED for an empty stream', async () => {
+    await expect(collect(parseSse(bytes()))).rejects.toThrow(/without \[DONE\]/)
+  })
+
+  it('throws STREAM_CLOSED for a mid-event close', async () => {
+    await expect(collect(parseSse(bytes('data: {"a"')))).rejects.toThrow(/without \[DONE\]/)
+  })
+
+  it('stops yielding after DONE even when more data follows', async () => {
+    const events = await collect(parseSse(bytes('data: [DONE]\n\ndata: {"late":1}\n\n')))
+    expect(events).toEqual([DONE])
+  })
+})
+
+describe('parseSse edge branches', () => {
+  it('handles a lone CR-terminated data line', async () => {
+    // Exercises the \r-strip branch on a line that is ONLY "data:…\r".
+    const events = await collect(parseSse(bytes('data: {"a":1}\r\n\r\ndata:[DONE]\r\n\r\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('strips CR from non-data field lines too', async () => {
+    const events = await collect(parseSse(bytes('event: chunk\r\ndata: {"a":1}\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['{"a":1}', DONE])
+  })
+
+  it('treats bare "data:" lines as empty payload entries', async () => {
+    const events = await collect(parseSse(bytes('data:\ndata: x\n\ndata: [DONE]\n\n')))
+    expect(events).toEqual(['\nx', DONE])
+  })
+})

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

@@ -0,0 +1,307 @@
+import { describe, expect, it } from 'vitest'
+import { BlockAssembler, LlmError } from '@deepseek-ai/dsh-llm'
+import type { StreamChunk } from '@deepseek-ai/dsh-llm'
+import { DONE, mapFinishReason, mapUsage, translate } from '@deepseek-ai/dsh-llm-deepseek'
+
+async function* feed(...payloads: (string | object)[]): AsyncGenerator<string> {
+  for (const payload of payloads) {
+    yield typeof payload === 'string' ? payload : JSON.stringify(payload)
+  }
+}
+
+async function collect(stream: AsyncIterable<StreamChunk>): Promise<StreamChunk[]> {
+  const out: StreamChunk[] = []
+  for await (const chunk of stream) out.push(chunk)
+  return out
+}
+
+/** The live first-chunk signature: role + null content + EMPTY reasoning. */
+const firstChunk = { choices: [{ delta: { role: 'assistant', content: null, reasoning_content: '' } }] }
+
+describe('translate: text', () => {
+  it('streams a text block and defers finish to DONE', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'Hel' } }] },
+      { choices: [{ delta: { content: 'lo' } }] },
+      { choices: [{ delta: { content: '' }, finish_reason: 'stop' }], usage: { prompt_tokens: 5, completion_tokens: 2 } },
+      DONE,
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'text' },
+      { type: 'text-delta', index: 0, text: 'Hel' },
+      { type: 'text-delta', index: 0, text: 'lo' },
+      { type: 'block-end', index: 0, block: { type: 'text', text: 'Hello' } },
+      { type: 'usage', usage: { inputTokens: 5, outputTokens: 2 } },
+      { type: 'finish', reason: { kind: 'stop' } },
+    ])
+  })
+
+  it('assembles into the message BlockAssembler expects', async () => {
+    const assembler = new BlockAssembler()
+    for await (const chunk of translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'hi' } }] },
+      { choices: [{ delta: {}, finish_reason: 'stop' }] },
+      DONE,
+    ))) {
+      assembler.push(chunk)
+    }
+    const result = assembler.result()
+    expect(result.message.content).toEqual([{ type: 'text', text: 'hi' }])
+    expect(result.finish).toEqual({ kind: 'stop' })
+  })
+})
+
+describe('translate: reasoning', () => {
+  it('does NOT open a reasoning block for the empty first-chunk signature', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'plain' } }] },
+      { choices: [{ delta: {}, finish_reason: 'stop' }] },
+      DONE,
+    )))
+    expect(chunks.some(chunk => chunk.type === 'block-start' && chunk.blockType === 'reasoning')).toBe(false)
+  })
+
+  it('streams reasoning then text as separate blocks', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: null, reasoning_content: 'think' } }] },
+      { choices: [{ delta: { content: null, reasoning_content: 'ing' } }] },
+      { choices: [{ delta: { content: 'answer', reasoning_content: null } }] },
+      { choices: [{ delta: {}, finish_reason: 'stop' }] },
+      DONE,
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'reasoning' },
+      { type: 'reasoning-delta', index: 0, text: 'think' },
+      { type: 'reasoning-delta', index: 0, text: 'ing' },
+      { type: 'block-start', index: 1, blockType: 'text' },
+      { type: 'text-delta', index: 1, text: 'answer' },
+      { type: 'block-end', index: 0, block: { type: 'reasoning', text: 'thinking' } },
+      { type: 'block-end', index: 1, block: { type: 'text', text: 'answer' } },
+      { type: 'finish', reason: { kind: 'stop' } },
+    ])
+  })
+
+  it('treats an entirely absent reasoning_content field as non-thinking', async () => {
+    const chunks = await collect(translate(feed(
+      { choices: [{ delta: { role: 'assistant', content: 'x' } }] },
+      { choices: [{ delta: {}, finish_reason: 'stop' }] },
+      DONE,
+    )))
+    expect(chunks.filter(chunk => chunk.type === 'block-start')).toEqual([
+      { type: 'block-start', index: 0, blockType: 'text' },
+    ])
+  })
+})
+
+describe('translate: tool calls', () => {
+  it('reassembles a tool call from fragmented argument deltas (live capture shape)', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { tool_calls: [{ index: 0, id: 'call_00_x', type: 'function', function: { name: 'get_weather', arguments: '' } }] } }] },
+      { choices: [{ delta: { tool_calls: [{ index: 0, function: { arguments: '{"city"' } }] } }] },
+      { choices: [{ delta: { tool_calls: [{ index: 0, function: { arguments: ': "Paris"}' } }] } }] },
+      { choices: [{ delta: { content: '' }, finish_reason: 'tool_calls' }], usage: { prompt_tokens: 28, completion_tokens: 6 } },
+      DONE,
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'tool-call' },
+      { type: 'tool-call-delta', index: 0, id: 'call_00_x', name: 'get_weather', argumentsDelta: '' },
+      { type: 'tool-call-delta', index: 0, id: 'call_00_x', name: 'get_weather', argumentsDelta: '{"city"' },
+      { type: 'tool-call-delta', index: 0, id: 'call_00_x', name: 'get_weather', argumentsDelta: ': "Paris"}' },
+      {
+        type: 'block-end',
+        index: 0,
+        block: { type: 'tool-call', id: 'call_00_x', name: 'get_weather', arguments: '{"city": "Paris"}' },
+      },
+      { type: 'usage', usage: { inputTokens: 28, outputTokens: 6 } },
+      { type: 'finish', reason: { kind: 'tool-calls' } },
+    ])
+  })
+
+  it('disambiguates parallel tool calls by wire index', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      {
+        choices: [{
+          delta: {
+            tool_calls: [
+              { index: 0, id: 'a', type: 'function', function: { name: 'one', arguments: '{}' } },
+              { index: 1, id: 'b', type: 'function', function: { name: 'two', arguments: '' } },
+            ],
+          },
+        }],
+      },
+      { choices: [{ delta: { tool_calls: [{ index: 1, function: { arguments: '{}' } }] } }] },
+      { choices: [{ delta: {}, finish_reason: 'tool_calls' }] },
+      DONE,
+    )))
+    const ends = chunks.filter(chunk => chunk.type === 'block-end')
+    expect(ends).toEqual([
+      { type: 'block-end', index: 0, block: { type: 'tool-call', id: 'a', name: 'one', arguments: '{}' } },
+      { type: 'block-end', index: 1, block: { type: 'tool-call', id: 'b', name: 'two', arguments: '{}' } },
+    ])
+  })
+
+  it('interleaves text and tool-call blocks with distinct indices', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'Checking.' } }] },
+      { choices: [{ delta: { tool_calls: [{ index: 0, id: 'c', type: 'function', function: { name: 'f', arguments: '{}' } }] } }] },
+      { choices: [{ delta: {}, finish_reason: 'tool_calls' }] },
+      DONE,
+    )))
+    const starts = chunks.filter(chunk => chunk.type === 'block-start')
+    expect(starts).toEqual([
+      { type: 'block-start', index: 0, blockType: 'text' },
+      { type: 'block-start', index: 1, blockType: 'tool-call' },
+    ])
+  })
+})
+
+describe('translate: finish and usage handling', () => {
+  it('takes usage from a trailing usage-only chunk (docs shape)', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'x' } }] },
+      { choices: [{ delta: {}, finish_reason: 'stop' }], usage: null },
+      { choices: [], usage: { prompt_tokens: 9, completion_tokens: 1 } },
+      DONE,
+    )))
+    expect(chunks.at(-2)).toEqual({ type: 'usage', usage: { inputTokens: 9, outputTokens: 1 } })
+    expect(chunks.at(-1)).toEqual({ type: 'finish', reason: { kind: 'stop' } })
+  })
+
+  it('last usage wins when both attached and trailing arrive', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: {}, finish_reason: 'stop' }], usage: { prompt_tokens: 1, completion_tokens: 1 } },
+      { choices: [], usage: { prompt_tokens: 2, completion_tokens: 2 } },
+      DONE,
+    )))
+    const usage = chunks.find(chunk => chunk.type === 'usage')
+    expect(usage).toEqual({ type: 'usage', usage: { inputTokens: 2, outputTokens: 2 } })
+  })
+
+  it('defaults to finish stop when no finish_reason ever arrives', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { content: 'x' } }] },
+      DONE,
+    )))
+    expect(chunks.at(-1)).toEqual({ type: 'finish', reason: { kind: 'stop' } })
+  })
+
+  it('omits the usage chunk when none arrived', async () => {
+    const chunks = await collect(translate(feed(firstChunk, DONE)))
+    expect(chunks.some(chunk => chunk.type === 'usage')).toBe(false)
+  })
+
+  it('handles chunks with no choices at all', async () => {
+    const chunks = await collect(translate(feed({}, DONE)))
+    expect(chunks).toEqual([{ type: 'finish', reason: { kind: 'stop' } }])
+  })
+})
+
+describe('translate: errors', () => {
+  it('throws MALFORMED_RESPONSE for invalid JSON payloads', async () => {
+    await expect(collect(translate(feed('{bad json')))).rejects.toThrow(LlmError)
+    await expect(collect(translate(feed('{bad json')))).rejects.toThrow(/malformed SSE payload/)
+  })
+
+  it('throws STREAM_CLOSED when the payload source ends without DONE', async () => {
+    await expect(collect(translate(feed(firstChunk)))).rejects.toThrow(/without \[DONE\]/)
+  })
+})
+
+describe('mapFinishReason', () => {
+  it.each([
+    ['stop', { kind: 'stop' }],
+    ['tool_calls', { kind: 'tool-calls' }],
+    ['length', { kind: 'max-tokens' }],
+  ])('maps %s', (wire, expected) => {
+    expect(mapFinishReason(wire)).toEqual(expected)
+  })
+
+  it.each(['content_filter', 'insufficient_system_resource', 'mystery_reason'])(
+    'maps %s to an error kind with the wire code',
+    (wire) => {
+      expect(mapFinishReason(wire)).toEqual({
+        kind: 'error',
+        message: `model stopped: ${wire}`,
+        code: wire.toUpperCase(),
+      })
+    },
+  )
+})
+
+describe('mapUsage', () => {
+  it('maps the full live-capture shape', () => {
+    expect(mapUsage({
+      prompt_tokens: 283,
+      completion_tokens: 69,
+      prompt_cache_hit_tokens: 256,
+      prompt_cache_miss_tokens: 27,
+      prompt_tokens_details: { cached_tokens: 256 },
+      completion_tokens_details: { reasoning_tokens: 24 },
+    })).toEqual({
+      // 283 wire prompt_tokens minus the 256 cached → 27 uncached input
+      // (TokenUsage counts are disjoint).
+      inputTokens: 27,
+      outputTokens: 69,
+      cacheReadTokens: 256,
+      reasoningTokens: 24,
+    })
+  })
+
+  it('falls back to prompt_cache_hit_tokens when details are absent', () => {
+    expect(mapUsage({ prompt_tokens: 10, completion_tokens: 2, prompt_cache_hit_tokens: 8 }))
+      .toEqual({ inputTokens: 2, outputTokens: 2, cacheReadTokens: 8 })
+  })
+
+  it('omits optional fields when the wire omits them', () => {
+    expect(mapUsage({ prompt_tokens: 10, completion_tokens: 2 }))
+      .toEqual({ inputTokens: 10, outputTokens: 2 })
+  })
+})
+
+describe('translate: defensive tool-call branches', () => {
+  it('handles deltas that never carry id or name (empty-string fallbacks)', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      // Hypothetical lenient wire: argument fragments with no id/name at all.
+      { choices: [{ delta: { tool_calls: [{ index: 0, function: { arguments: '{}' } }] } }] },
+      { choices: [{ delta: {}, finish_reason: 'tool_calls' }] },
+      DONE,
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'tool-call' },
+      { type: 'tool-call-delta', index: 0, id: '', argumentsDelta: '{}' },
+      { type: 'block-end', index: 0, block: { type: 'tool-call', id: '', name: '', arguments: '{}' } },
+      { type: 'finish', reason: { kind: 'tool-calls' } },
+    ])
+  })
+
+  it('handles tool_call deltas with a function object but no arguments field', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { tool_calls: [{ index: 0, id: 'c', type: 'function', function: { name: 'f' } }] } }] },
+      { choices: [{ delta: {}, finish_reason: 'tool_calls' }] },
+      DONE,
+    )))
+    expect(chunks[1]).toEqual({ type: 'tool-call-delta', index: 0, id: 'c', name: 'f', argumentsDelta: '' })
+  })
+
+  it('handles tool_call deltas with no function object at all', async () => {
+    const chunks = await collect(translate(feed(
+      firstChunk,
+      { choices: [{ delta: { tool_calls: [{ index: 0, id: 'c' }] } }] },
+      { choices: [{ delta: {}, finish_reason: 'tool_calls' }] },
+      DONE,
+    )))
+    expect(chunks[1]).toEqual({ type: 'tool-call-delta', index: 0, id: 'c', argumentsDelta: '' })
+  })
+})

packages/llm-deepseek/tsconfig.json

@@ -0,0 +1,14 @@
+{
+  "extends": "../../tsconfig.base.json",
+  "compilerOptions": {
+    "rootDir": "src",
+    "outDir": "lib"
+  },
+  "include": ["src"],
+  "references": [
+    { "path": "../../vendor/cosmokit" },
+    { "path": "../../vendor/cordis" },
+    { "path": "../../vendor/schemastery" },
+    { "path": "../llm" }
+  ]
+}

packages/llm-pi-ai/README.md

@@ -0,0 +1,60 @@
+# @deepseek-ai/dsh-llm-pi-ai
+
+DeepSeek adapter for the harness LLM seam backed by
+[`@earendil-works/pi-ai`](https://www.npmjs.com/package/@earendil-works/pi-ai)
+(the LLM library behind the pi agent).
+
+## Why a second adapter exists
+
+`@deepseek-ai/dsh-llm-deepseek` already talks to the same endpoint. This
+package is its **design-verification twin**: same models, same wire
+protocol, completely different internals — a unified LLM library with its
+own event vocabulary versus hand-rolled fetch/SSE. Anything the harness
+`StreamChunk` protocol cannot express for BOTH implementations is a
+core-vocabulary bug. The differences it exercised on purpose:
+
+- pi-ai hands back tool-call `arguments` as **parsed objects**; the harness
+  keeps raw JSON strings (re-stringified 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 stop sequences; `GenerateOptions.stop` is injected
+  via its `onPayload` hook.
+
+## Config
+
+Same shape as llm-deepseek (one-line swap in cordis.yml), with pi-ai's
+thinking-level vocabulary:
+
+```yaml
+- id: llm
+  name: '@deepseek-ai/dsh-llm-pi-ai'
+  config:
+    apiKey: !!js process.env.DEEPSEEK_API_KEY
+    baseURL: !!js process.env.DEEPSEEK_BASE_URL
+    models: [deepseek-v4-flash, deepseek-v4-pro]
+    reasoning: high   # off | high | xhigh (xhigh → wire 'max')
+```
+
+## Dependency weight
+
+pi-ai declares the openai/anthropic/google/mistral/AWS SDKs as install-time
+dependencies. They are lazy-loaded — only the openai SDK actually loads for
+this adapter — but they do land in `node_modules`. Accepted for a package
+whose purpose is design verification.
+
+## Limitations
+
+Same MVP contract as llm-deepseek: `prefill` throws `UNSUPPORTED`, images
+are not representable, `tool_choice` is not mapped.
+
+## Testing
+
+Unit suites run against a local `node:http` mock SSE server (pi-ai's openai
+SDK happily talks to any base URL). Real-API coverage in
+`tests/adapter.e2e.ts` (`yarn test:e2e`, key-gated): V4 Flash + V4 Pro across
+all exposed reasoning levels (off/high/xhigh), the thinking+tools round trip,
+and a cross-adapter structural-equivalence check against llm-deepseek.

packages/llm-pi-ai/package.json

@@ -0,0 +1,35 @@
+{
+  "name": "@deepseek-ai/dsh-llm-pi-ai",
+  "description": "pi-ai-backed DeepSeek adapter for the DeepSeek Harness LLM seam (design-verification twin of dsh-llm-deepseek)",
+  "version": "0.0.1",
+  "private": true,
+  "type": "module",
+  "main": "lib/index.js",
+  "types": "lib/index.d.ts",
+  "exports": {
+    ".": {
+      "types": "./lib/index.d.ts",
+      "default": "./lib/index.js"
+    },
+    "./src/*": "./src/*",
+    "./package.json": "./package.json"
+  },
+  "files": [
+    "lib",
+    "src"
+  ],
+  "license": "BSD-3-Clause",
+  "peerDependencies": {
+    "@deepseek-ai/dsh-llm": "^0.0.1",
+    "cordis": "^4.0.0-rc.6"
+  },
+  "dependencies": {
+    "@earendil-works/pi-ai": "^0.79.1",
+    "schemastery": "^3.18.0"
+  },
+  "devDependencies": {
+    "@deepseek-ai/dsh-llm": "^0.0.1",
+    "@deepseek-ai/dsh-llm-deepseek": "^0.0.1",
+    "cordis": "^4.0.0-rc.6"
+  }
+}

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

@@ -0,0 +1,125 @@
+/**
+ * `PiAiAdapter`: the `@earendil-works/pi-ai`-backed implementation of the
+ * harness LLM seam, pointed at a DeepSeek (OpenAI-compatible) endpoint.
+ *
+ * This adapter exists as a design-verification twin of
+ * `@deepseek-ai/dsh-llm-deepseek`: same models, same wire protocol,
+ * completely different internals (a unified LLM library with its own event
+ * vocabulary vs hand-rolled fetch/SSE). Anything the StreamChunk protocol
+ * cannot express for BOTH implementations is a core-vocabulary bug.
+ *
+ * @module dsh-llm-pi-ai/adapter
+ */
+
+import { stream as piStream } from '@earendil-works/pi-ai'
+import type { Model } from '@earendil-works/pi-ai'
+import { LlmAdapter, LlmError } 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). */
+export type PiAiReasoning = 'off' | 'high' | 'xhigh'
+
+export interface PiAiAdapterOptions {
+  apiKey: string
+  baseURL: string
+  /** Thinking level applied to every request ('off' disables thinking). */
+  reasoning?: PiAiReasoning | undefined
+}
+
+/** Build the inline pi-ai model descriptor for one DeepSeek model name. */
+export function buildModel(modelId: string, options: PiAiAdapterOptions): Model<'openai-completions'> {
+  return {
+    id: modelId,
+    name: modelId,
+    api: 'openai-completions',
+    provider: 'deepseek',
+    baseUrl: options.baseURL,
+    // Always true: pi-ai only emits the DeepSeek `thinking` field for
+    // reasoning-capable models, deriving enabled/disabled from whether a
+    // reasoningEffort option is passed. DeepSeek's provider default is
+    // ENABLED, so 'off' must send an explicit {type: 'disabled'} — which
+    // requires this flag to stay on.
+    reasoning: true,
+    // DeepSeek's official effort levels: high|max (xhigh maps to max).
+    thinkingLevelMap: { minimal: null, low: null, medium: null, high: 'high', xhigh: 'max' },
+    input: ['text'],
+    cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
+    contextWindow: 128_000,
+    maxTokens: 64_000,
+    compat: {
+      // Auto-detection only fires for *.deepseek.com base URLs; the internal
+      // endpoint (and test mocks) need these set explicitly.
+      thinkingFormat: 'deepseek',
+      requiresReasoningContentOnAssistantMessages: true,
+      supportsReasoningEffort: true,
+      // DeepSeek documents max_tokens (not OpenAI's max_completion_tokens).
+      maxTokensField: 'max_tokens',
+    },
+  }
+}
+
+/**
+ * pi-ai-backed adapter. One instance serves every registered model name.
+ *
+ * Implementation notes:
+ * - `GenerateOptions.stop` is injected via pi-ai's `onPayload` hook (its
+ *   public options omit stop sequences).
+ * - `prefill` throws UNSUPPORTED (same contract as dsh-llm-deepseek).
+ * - 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.
+ */
+export class PiAiAdapter extends LlmAdapter {
+  constructor(private readonly options: PiAiAdapterOptions) {
+    super()
+  }
+
+  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
+    // thinking toggle from whether reasoningEffort is passed, so undefined
+    // maps to 'high' here; only an explicit 'off' disables thinking.
+    const reasoning = this.options.reasoning ?? 'high'
+
+    // pi-ai's event stream has no iterator-return cancellation hook: if our
+    // consumer stops early (break / loop abort), the underlying HTTP stream
+    // would keep draining. Chain an internal controller onto the caller's
+    // signal and abort it when this generator exits for any reason.
+    const controller = new AbortController()
+    const onCallerAbort = (): void => { controller.abort(options.signal?.reason) }
+    if (options.signal?.aborted) controller.abort(options.signal.reason)
+    else options.signal?.addEventListener('abort', onCallerAbort, { once: true })
+
+    try {
+      const events = piStream(model, toPiContext(options), {
+        apiKey: this.options.apiKey,
+        ...options.temperature !== undefined ? { temperature: options.temperature } : {},
+        ...options.maxTokens !== undefined ? { maxTokens: options.maxTokens } : {},
+        signal: controller.signal,
+        ...reasoning !== 'off' ? { reasoningEffort: reasoning } : {},
+        ...options.stop !== undefined ? {
+          // pi-ai's options omit stop sequences; inject them into the raw body.
+          onPayload: (payload: unknown) => {
+            (payload as Record<string, unknown>).stop = options.stop
+            return payload
+          },
+        } : {},
+        maxRetries: 0,
+      })
+
+      yield* toStreamChunks(events)
+    } finally {
+      options.signal?.removeEventListener('abort', onCallerAbort)
+      controller.abort('consumer stopped streaming')
+    }
+  }
+}

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

@@ -0,0 +1,267 @@
+/**
+ * Bidirectional mapping between the harness vocabulary and pi-ai's:
+ * `GenerateOptions`/`Message[]` → pi-ai `Context`, and pi-ai
+ * `AssistantMessageEvent`s → harness `StreamChunk`s.
+ *
+ * Vocabulary differences worth knowing (they are exactly why this adapter
+ * exists — an independent implementation stress-tests the StreamChunk
+ * protocol):
+ * - pi-ai tool-call `arguments` are PARSED OBJECTS; the harness keeps the
+ *   raw JSON string. We parse on the way in and re-stringify on the way out.
+ * - pi-ai reports errors as in-stream `error` events (it never throws
+ *   mid-stream); the harness expresses those as `finish {kind:'error'}` /
+ *   `{kind:'aborted'}` chunks.
+ * - pi-ai folds reasoning tokens into `usage.output`; there is no separate
+ *   reasoning count to map.
+ *
+ * @module dsh-llm-pi-ai/convert
+ */
+
+import { CallId } from '@deepseek-ai/dsh-llm'
+import type { FinishReason, GenerateOptions, Message, StreamChunk, TokenUsage } from '@deepseek-ai/dsh-llm'
+import type {
+  AssistantMessage,
+  AssistantMessageEvent,
+  Context as PiContext,
+  Message as PiMessage,
+  Tool as PiTool,
+  Usage as PiUsage,
+} from '@earendil-works/pi-ai'
+
+/** Join the text blocks of a harness message. */
+function flattenText(message: Message): string {
+  return message.content
+    .filter(block => block.type === 'text')
+    .map(block => block.text)
+    .join('')
+}
+
+/** Parse tool-call argument JSON; tolerate model malformations with {}. */
+function parseArguments(raw: string): Record<string, unknown> {
+  try {
+    const parsed: unknown = JSON.parse(raw)
+    if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed)) {
+      return parsed as Record<string, unknown>
+    }
+  } catch {
+    // fall through
+  }
+  return {}
+}
+
+/**
+ * Convert harness history to a pi-ai Context. Tool results need the tool
+ * NAME (pi-ai's `toolName`), which the harness doesn't carry on the result
+ * block — it is recovered from the preceding assistant tool-call with the
+ * same id.
+ */
+export function toPiContext(options: GenerateOptions): PiContext {
+  const toolNames = new Map<string, string>()
+  const messages: PiMessage[] = []
+
+  for (const message of options.messages) {
+    if (message.role === 'system') {
+      // pi-ai has a single systemPrompt slot; in-history system messages are
+      // folded into user messages to preserve order (rare in practice — the
+      // harness sends the system prompt via options.system).
+      messages.push({ role: 'user', content: flattenText(message), timestamp: 0 })
+      continue
+    }
+    if (message.role === 'assistant') {
+      const content: AssistantMessage['content'] = []
+      for (const block of message.content) {
+        switch (block.type) {
+          case 'text':
+            content.push({ type: 'text', text: block.text })
+            break
+          case 'reasoning':
+            // thinkingSignature names the wire field pi-ai replays the CoT
+            // under. Without it pi-ai falls back to reasoning_content: ""
+            // (its requiresReasoningContentOnAssistantMessages shim), which
+            // violates DeepSeek's thinking-mode passback rule on tool-call
+            // turns (guides/thinking_mode.mdx § Tool Calls).
+            content.push({ type: 'thinking', thinking: block.text, thinkingSignature: 'reasoning_content' })
+            break
+          case 'tool-call':
+            toolNames.set(block.id, block.name)
+            content.push({
+              type: 'toolCall',
+              id: block.id,
+              name: block.name,
+              arguments: parseArguments(block.arguments),
+            })
+            break
+          default:
+            // image / plugin-added block types: not representable here.
+            break
+        }
+      }
+      messages.push({
+        role: 'assistant',
+        content,
+        api: 'openai-completions',
+        provider: 'deepseek',
+        model: options.model,
+        usage: emptyPiUsage(),
+        stopReason: content.some(piece => piece.type === 'toolCall') ? 'toolUse' : 'stop',
+        timestamp: 0,
+      })
+      continue
+    }
+    // user role: text + tool results (each result becomes its own message).
+    const text = flattenText(message)
+    const results = message.content.filter(block => block.type === 'tool-result')
+    if (text.length > 0 || results.length === 0) {
+      messages.push({ role: 'user', content: text, timestamp: 0 })
+    }
+    for (const result of results) {
+      messages.push({
+        role: 'toolResult',
+        toolCallId: result.toolCallId,
+        toolName: toolNames.get(result.toolCallId) ?? 'unknown',
+        content: [{
+          type: 'text',
+          text: result.content
+            .filter(block => block.type === 'text')
+            .map(block => block.text)
+            .join('') || '(no output)',
+        }],
+        isError: result.isError ?? false,
+        timestamp: 0,
+      })
+    }
+  }
+
+  const tools: PiTool[] | undefined = options.tools?.map(tool => ({
+    name: tool.name,
+    description: tool.description,
+    // ToolSchema.parameters is a JSON Schema object; pi-ai's TSchema
+    // (TypeBox) is structurally JSON Schema, so it assigns directly.
+    parameters: tool.parameters,
+  }))
+
+  return {
+    ...options.system !== undefined ? { systemPrompt: options.system } : {},
+    messages,
+    ...tools !== undefined && tools.length > 0 ? { tools } : {},
+  }
+}
+
+function emptyPiUsage(): PiUsage {
+  return {
+    input: 0,
+    output: 0,
+    cacheRead: 0,
+    cacheWrite: 0,
+    totalTokens: 0,
+    cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
+  }
+}
+
+/** Map pi-ai usage (reasoning folded into output by pi-ai). */
+export function mapUsage(usage: PiUsage): TokenUsage {
+  return {
+    inputTokens: usage.input,
+    outputTokens: usage.output,
+    ...usage.cacheRead > 0 ? { cacheReadTokens: usage.cacheRead } : {},
+    ...usage.cacheWrite > 0 ? { cacheWriteTokens: usage.cacheWrite } : {},
+  }
+}
+
+/** Map a terminal pi-ai event to the harness finish reason. */
+export function mapStopReason(message: AssistantMessage): FinishReason {
+  switch (message.stopReason) {
+    case 'stop': return { kind: 'stop' }
+    case 'length': return { kind: 'max-tokens' }
+    case 'toolUse': return { kind: 'tool-calls' }
+    case 'aborted': return { kind: 'aborted' }
+    case 'error': return {
+      kind: 'error',
+      message: message.errorMessage ?? 'pi-ai stream error',
+      code: 'PI_AI_ERROR',
+    }
+  }
+}
+
+/**
+ * Translate the pi-ai event stream into StreamChunks. pi-ai never throws
+ * mid-stream — failures arrive as `error` events, which become error/aborted
+ * `finish` chunks (the harness protocol's other error-delivery style).
+ */
+export async function* toStreamChunks(events: AsyncIterable<AssistantMessageEvent>): AsyncGenerator<StreamChunk> {
+  // pi-ai contentIndex ↔ our block index map 1:1 (both count blocks from 0
+  // in stream order), but we track ids per index for tool calls.
+  const toolIds = new Map<number, { id: string; name: string }>()
+
+  for await (const event of events) {
+    switch (event.type) {
+      case 'start':
+        break
+      case 'text_start':
+        yield { type: 'block-start', index: event.contentIndex, blockType: 'text' }
+        break
+      case 'text_delta':
+        yield { type: 'text-delta', index: event.contentIndex, text: event.delta }
+        break
+      case 'text_end':
+        yield { type: 'block-end', index: event.contentIndex, block: { type: 'text', text: event.content } }
+        break
+      case 'thinking_start':
+        yield { type: 'block-start', index: event.contentIndex, blockType: 'reasoning' }
+        break
+      case 'thinking_delta':
+        yield { type: 'reasoning-delta', index: event.contentIndex, text: event.delta }
+        break
+      case 'thinking_end':
+        yield { type: 'block-end', index: event.contentIndex, block: { type: 'reasoning', text: event.content } }
+        break
+      case 'toolcall_start': {
+        // The id/name live on the partial's content at this index.
+        const partial = event.partial.content[event.contentIndex]
+        const id = partial?.type === 'toolCall' ? partial.id : ''
+        const name = partial?.type === 'toolCall' ? partial.name : ''
+        toolIds.set(event.contentIndex, { id, name })
+        yield { type: 'block-start', index: event.contentIndex, blockType: 'tool-call' }
+        break
+      }
+      case 'toolcall_delta': {
+        const known = toolIds.get(event.contentIndex)
+        yield {
+          type: 'tool-call-delta',
+          index: event.contentIndex,
+          id: CallId(known?.id ?? ''),
+          ...known?.name !== undefined && known.name.length > 0 ? { name: known.name } : {},
+          argumentsDelta: event.delta,
+        }
+        break
+      }
+      case 'toolcall_end':
+        yield {
+          type: 'block-end',
+          index: event.contentIndex,
+          block: {
+            type: 'tool-call',
+            id: CallId(event.toolCall.id),
+            name: event.toolCall.name,
+            // pi-ai hands back the PARSED arguments; the harness vocabulary
+            // keeps the raw string.
+            arguments: JSON.stringify(event.toolCall.arguments),
+          },
+        }
+        break
+      case 'done':
+        yield { type: 'usage', usage: mapUsage(event.message.usage) }
+        yield { type: 'finish', reason: mapStopReason(event.message) }
+        return
+      case 'error':
+        // In-stream error delivery (pi-ai's style) → error finish chunk
+        // (the harness's other sanctioned error path besides throwing).
+        yield { type: 'usage', usage: mapUsage(event.error.usage) }
+        yield { type: 'finish', reason: mapStopReason(event.error) }
+        return
+      // no default: AssistantMessageEvent is pi-ai's closed union; a new
+      // event type should fail compilation here via tsc's exhaustiveness
+      // when one is added (switch covers all current variants).
+    }
+  }
+}

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

@@ -0,0 +1,71 @@
+/**
+ * pi-ai-backed DeepSeek adapter plugin. Same Config shape as
+ * `@deepseek-ai/dsh-llm-deepseek` (one-line swap in cordis.yml), different
+ * implementation underneath — see `./adapter.ts` for why both exist.
+ *
+ * ```yaml
+ * - id: llm
+ *   name: '@deepseek-ai/dsh-llm-pi-ai'
+ *   config:
+ *     apiKey: !!js process.env.DEEPSEEK_API_KEY
+ *     baseURL: !!js process.env.DEEPSEEK_BASE_URL
+ *     models: [deepseek-v4-flash, deepseek-v4-pro]
+ *     reasoning: high
+ * ```
+ *
+ * @module @deepseek-ai/dsh-llm-pi-ai
+ */
+
+import type { Context } from 'cordis'
+import z from 'schemastery'
+import type {} from '@deepseek-ai/dsh-llm'
+import { PiAiAdapter } from './adapter.ts'
+import type { PiAiReasoning } from './adapter.ts'
+
+export { buildModel, PiAiAdapter } from './adapter.ts'
+export type { PiAiAdapterOptions, PiAiReasoning } from './adapter.ts'
+export { mapStopReason, mapUsage, toPiContext, toStreamChunks } from './convert.ts'
+
+export const name = 'llm-pi-ai'
+export const inject = ['llm']
+
+export interface Config {
+  /** API key; falls back to $DEEPSEEK_API_KEY. Required one way or the other. */
+  apiKey?: string
+  /** Endpoint base; falls back to $DEEPSEEK_BASE_URL, then the public API. */
+  baseURL?: string
+  /** Model names to register (sent verbatim on the wire). */
+  models?: string[]
+  /**
+   * Thinking level for every request: 'off' disables thinking mode; 'high'
+   * and 'xhigh' (wire 'max') set the effort. Omitted = provider default
+   * (thinking enabled), matching llm-deepseek's omission semantics.
+   */
+  reasoning?: PiAiReasoning
+}
+
+export const Config: z<Config> = z.object({
+  apiKey: z.string(),
+  baseURL: z.string(),
+  models: z.array(z.string()).default(['deepseek-v4-flash', 'deepseek-v4-pro']),
+  reasoning: z.union(['off', 'high', 'xhigh']),
+})
+
+/** Public API default; the internal endpoint comes from $DEEPSEEK_BASE_URL. */
+export const PUBLIC_BASE_URL = 'https://api.deepseek.com'
+
+export function apply(ctx: Context, config: Config): void {
+  const apiKey = config.apiKey ?? process.env.DEEPSEEK_API_KEY
+  if (apiKey === undefined || apiKey.length === 0) {
+    throw new Error('llm-pi-ai: an API key is required (Config.apiKey or $DEEPSEEK_API_KEY)')
+  }
+  const baseURL = config.baseURL ?? process.env.DEEPSEEK_BASE_URL ?? PUBLIC_BASE_URL
+  // schemastery's .default() guarantees models is set after validation.
+  const models = config.models as string[]
+
+  ctx.llm.registerAdapter(models, new PiAiAdapter({
+    apiKey,
+    baseURL,
+    reasoning: config.reasoning,
+  }))
+}

packages/llm-pi-ai/tests/adapter.e2e.ts

@@ -0,0 +1,130 @@
+import { describe, expect, it } from 'vitest'
+import { Context } from 'cordis'
+import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
+import type { GenerateResult, Message, ToolSchema } from '@deepseek-ai/dsh-llm'
+import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
+import type { Config } from '@deepseek-ai/dsh-llm-pi-ai'
+import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
+
+/**
+ * Real-API e2e for the pi-ai-backed adapter: V4 Flash + V4 Pro across all
+ * reasoning levels the adapter exposes (off / high / xhigh→wire 'max').
+ * Mirrors the llm-deepseek matrix so the two independent implementations
+ * verify the same StreamChunk contract. Key-gated.
+ */
+
+const FLASH = 'deepseek-v4-flash'
+const PRO = 'deepseek-v4-pro'
+
+async function harness(model: string, config: Partial<Config> = {}) {
+  const ctx = new Context()
+  await ctx.plugin(LlmService)
+  await ctx.plugin(LlmPiAi, { models: [model], ...config })
+  return ctx
+}
+
+function ask(text: string): Message[] {
+  return [{ role: 'user', content: [{ type: 'text', text }] }]
+}
+
+function textOf(result: GenerateResult): string {
+  return result.message.content
+    .filter(block => block.type === 'text')
+    .map(block => block.text)
+    .join('')
+}
+
+function blockKinds(result: GenerateResult): string[] {
+  return result.message.content.map(block => block.type)
+}
+
+const weatherTool: ToolSchema = {
+  name: 'get_weather',
+  description: 'Get the current weather for a city.',
+  parameters: {
+    type: 'object',
+    properties: { city: { type: 'string', description: 'City name' } },
+    required: ['city'],
+  },
+}
+
+describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () => {
+  it.each([FLASH, PRO])('%s + reasoning off: plain text generation', async (model) => {
+    const ctx = await harness(model, { reasoning: 'off' })
+    const result = await ctx.llm.generate({
+      model,
+      messages: ask('Reply with exactly the word: pong'),
+      maxTokens: 50,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(textOf(result).toLowerCase()).toContain('pong')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
+  })
+
+  it.each([FLASH, PRO])('%s + reasoning high: reasoning blocks present', async (model) => {
+    const ctx = await harness(model, { reasoning: 'high' })
+    const result = await ctx.llm.generate({
+      model,
+      messages: ask('Which is larger, 9.11 or 9.8? Answer with just the number.'),
+      maxTokens: 2000,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(true)
+    expect(textOf(result)).toContain('9.8')
+  })
+
+  it('pro + reasoning xhigh (wire max): tool-call round trip', async () => {
+    const ctx = await harness(PRO, { reasoning: 'xhigh' })
+
+    const first = await ctx.llm.generate({
+      model: PRO,
+      messages: ask('What is the weather in Paris right now? Use the get_weather tool.'),
+      tools: [weatherTool],
+      maxTokens: 2000,
+    })
+    expect(first.finish.kind).toBe('tool-calls')
+    const call = first.message.content.find(block => block.type === 'tool-call')
+    expect(call).toBeDefined()
+    expect(call!.name).toBe('get_weather')
+    expect(JSON.parse(call!.arguments)).toMatchObject({ city: expect.stringMatching(/paris/i) as string })
+
+    const second = await ctx.llm.generate({
+      model: PRO,
+      messages: [
+        ...ask('What is the weather in Paris right now? Use the get_weather tool.'),
+        { role: 'assistant', content: first.message.content },
+        {
+          role: 'user',
+          content: [{
+            type: 'tool-result',
+            toolCallId: CallId(call!.id),
+            content: [{ type: 'text', text: 'Sunny, 22°C' }],
+          }],
+        },
+      ],
+      tools: [weatherTool],
+      maxTokens: 2000,
+    })
+    expect(second.finish.kind).toBe('stop')
+    expect(textOf(second).toLowerCase()).toMatch(/sunny|22/)
+  })
+
+  it('produces the same block structure as llm-deepseek for the same prompt', async () => {
+    // Loose structural equivalence between the two independent adapters:
+    // same block KINDS in the same order for a deterministic prompt — the
+    // cross-implementation check that the StreamChunk design holds.
+    const deepseekCtx = new Context()
+    await deepseekCtx.plugin(LlmService)
+    await deepseekCtx.plugin(LlmDeepSeek, { models: [FLASH], thinking: 'disabled' })
+
+    const piCtx = await harness(FLASH, { reasoning: 'off' })
+
+    const prompt = ask('Reply with exactly the word: pong')
+    const [fromDeepSeek, fromPiAi] = await Promise.all([
+      deepseekCtx.llm.generate({ model: FLASH, messages: prompt, maxTokens: 50 }),
+      piCtx.llm.generate({ model: FLASH, messages: prompt, maxTokens: 50 }),
+    ])
+    expect(blockKinds(fromPiAi)).toEqual(blockKinds(fromDeepSeek))
+    expect(fromPiAi.finish.kind).toBe(fromDeepSeek.finish.kind)
+  })
+})

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

@@ -0,0 +1,354 @@
+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 } 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'
+
+/** Scripted SSE responses, one per request (OpenAI chat-completions shape). */
+interface MockServer {
+  url: string
+  requests: unknown[]
+  close(): Promise<void>
+}
+
+const servers: Server[] = []
+
+afterEach(async () => {
+  await Promise.all(servers.splice(0).map(server => new Promise(resolve => server.close(resolve))))
+})
+
+async function mockServer(script: { status?: number; events?: string[]; body?: string }[]): Promise<MockServer> {
+  const requests: unknown[] = []
+  const server = createServer((request: IncomingMessage, response: ServerResponse) => {
+    let body = ''
+    request.on('data', (chunk: Buffer) => { body += chunk.toString('utf8') })
+    request.on('end', () => {
+      requests.push(JSON.parse(body))
+      const behavior = script.shift() ?? { status: 500, body: 'script exhausted' }
+      if (behavior.status !== undefined && behavior.status !== 200) {
+        response.writeHead(behavior.status, { 'content-type': 'application/json' })
+        response.end(behavior.body ?? '{}')
+        return
+      }
+      response.writeHead(200, { 'content-type': 'text/event-stream' })
+      for (const event of behavior.events ?? []) response.write(`data: ${event}\n\n`)
+      response.end()
+    })
+  })
+  servers.push(server)
+  await new Promise<void>(resolve => server.listen(0, '127.0.0.1', resolve))
+  const address = server.address()
+  if (address === null || typeof address === 'string') throw new Error('no port')
+  return {
+    url: `http://127.0.0.1:${address.port}`,
+    requests,
+    close: () => new Promise(resolve => server.close(() => { resolve() })),
+  }
+}
+
+const textEvents = [
+  '{"choices":[{"delta":{"role":"assistant","content":""},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{"content":"hello"},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{},"index":0,"finish_reason":"stop"}],"usage":{"prompt_tokens":3,"completion_tokens":1}}',
+  '[DONE]',
+]
+
+const toolEvents = [
+  '{"choices":[{"delta":{"role":"assistant","content":null},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{"tool_calls":[{"index":0,"id":"call-1","type":"function","function":{"name":"get_weather","arguments":""}}]},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\\"city\\":\\"Paris\\"}"}}]},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{},"index":0,"finish_reason":"tool_calls"}],"usage":{"prompt_tokens":20,"completion_tokens":6}}',
+  '[DONE]',
+]
+
+const thinkingEvents = [
+  '{"choices":[{"delta":{"role":"assistant","content":null,"reasoning_content":""},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{"reasoning_content":"pondering"},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{"content":"answer","reasoning_content":null},"index":0,"finish_reason":null}]}',
+  '{"choices":[{"delta":{},"index":0,"finish_reason":"stop"}],"usage":{"prompt_tokens":5,"completion_tokens":9}}',
+  '[DONE]',
+]
+
+async function harness(baseURL: string, config: object = {}) {
+  const ctx = new Context()
+  await ctx.plugin(LlmService)
+  await ctx.plugin(LlmPiAi, { apiKey: 'test-key', baseURL, models: ['deepseek-v4-flash'], ...config })
+  return ctx
+}
+
+describe('PiAiAdapter against a mock server', () => {
+  it('streams a text generation through ctx.llm.generate', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url)
+
+    const result = await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })
+    expect(result.message.content).toEqual([{ type: 'text', text: 'hello' }])
+    expect(result.finish).toEqual({ kind: 'stop' })
+    expect(result.usage).toMatchObject({ inputTokens: 3, outputTokens: 1 })
+  })
+
+  it('streams tool calls with re-stringified arguments', async () => {
+    const server = await mockServer([{ events: toolEvents }])
+    const ctx = await harness(server.url)
+
+    const result = await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'weather?' }] }],
+      tools: [{
+        name: 'get_weather',
+        description: 'Get weather',
+        parameters: { type: 'object', properties: { city: { type: 'string' } } },
+      }],
+    })
+    expect(result.finish).toEqual({ kind: 'tool-calls' })
+    const call = result.message.content.find(block => block.type === 'tool-call')
+    expect(call).toMatchObject({ name: 'get_weather', arguments: '{"city":"Paris"}' })
+  })
+
+  it('maps reasoning_content streams to reasoning blocks', async () => {
+    const server = await mockServer([{ events: thinkingEvents }])
+    const ctx = await harness(server.url, { reasoning: 'high' })
+
+    const result = await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'think' }] }],
+    })
+    expect(result.message.content).toEqual([
+      { type: 'reasoning', text: 'pondering' },
+      { type: 'text', text: 'answer' },
+    ])
+  })
+
+  it('sends DeepSeek thinking fields when reasoning is configured', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url, { reasoning: 'xhigh' })
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(server.requests[0]).toMatchObject({
+      thinking: { type: 'enabled' },
+      reasoning_effort: 'max', // xhigh maps to max via thinkingLevelMap
+    })
+  })
+
+  it('disables thinking for reasoning: off', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url, { reasoning: 'off' })
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(server.requests[0]).toMatchObject({ thinking: { type: 'disabled' } })
+  })
+
+  it('injects stop sequences through onPayload', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url)
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [], stop: ['END'] })
+    expect(server.requests[0]).toMatchObject({ stop: ['END'] })
+  })
+
+  it('maps HTTP errors to error finish chunks (pi-ai in-stream style)', async () => {
+    const server = await mockServer([{
+      status: 401,
+      body: JSON.stringify({ error: { message: 'bad key' } }),
+    }])
+    const ctx = await harness(server.url)
+    const result = await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(result.finish.kind).toBe('error')
+    expect((result.finish as { message: string }).message).toMatch(/bad key|401/)
+  })
+
+  it('rejects prefill with UNSUPPORTED', async () => {
+    const ctx = await harness('http://127.0.0.1:1')
+    await expect(ctx.llm.generate({
+      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)
+    const fiber = await ctx.plugin(LlmPiAi, { apiKey: 'k', baseURL: 'http://127.0.0.1:1' })
+    expect(ctx.llm.models().sort()).toEqual(['deepseek-v4-flash', 'deepseek-v4-pro'])
+    await fiber.dispose()
+    expect(ctx.llm.models()).toEqual([])
+  })
+
+  it('throws a clear error when no API key is available', async () => {
+    const previous = process.env.DEEPSEEK_API_KEY
+    delete process.env.DEEPSEEK_API_KEY
+    try {
+      const ctx = new Context()
+      await ctx.plugin(LlmService)
+      await expect(ctx.plugin(LlmPiAi, {})).rejects.toThrow(/an API key is required/)
+    } finally {
+      if (previous !== undefined) process.env.DEEPSEEK_API_KEY = previous
+    }
+  })
+})
+
+describe('option spreads and env fallbacks', () => {
+  it('forwards temperature, maxTokens, and signal', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url)
+    const controller = new AbortController()
+    await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [],
+      temperature: 0.5,
+      maxTokens: 40,
+      signal: controller.signal,
+    })
+    expect(server.requests[0]).toMatchObject({ temperature: 0.5, max_tokens: 40 })
+  })
+
+  it('falls back to DEEPSEEK_API_KEY / DEEPSEEK_BASE_URL env vars', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    vi.stubEnv('DEEPSEEK_API_KEY', 'env-key')
+    vi.stubEnv('DEEPSEEK_BASE_URL', server.url)
+    try {
+      const ctx = new Context()
+      await ctx.plugin(LlmService)
+      await ctx.plugin(LlmPiAi, { models: ['deepseek-v4-flash'] })
+      await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+      expect(server.requests).toHaveLength(1)
+    } finally {
+      vi.unstubAllEnvs()
+    }
+  })
+
+  it('defaults to the public base URL without config or env', async () => {
+    vi.stubEnv('DEEPSEEK_API_KEY', 'k')
+    vi.stubEnv('DEEPSEEK_BASE_URL', undefined)
+    try {
+      const ctx = new Context()
+      await ctx.plugin(LlmService)
+      await ctx.plugin(LlmPiAi, {})
+      expect(ctx.llm.models().length).toBeGreaterThan(0)
+    } finally {
+      vi.unstubAllEnvs()
+    }
+  })
+})
+
+describe('buildModel', () => {
+  it('builds a DeepSeek-compat openai-completions model descriptor', () => {
+    const model = buildModel('deepseek-v4-pro', { apiKey: 'k', baseURL: 'http://x', reasoning: 'high' })
+    expect(model).toMatchObject({
+      id: 'deepseek-v4-pro',
+      api: 'openai-completions',
+      provider: 'deepseek',
+      baseUrl: 'http://x',
+      reasoning: true,
+      compat: { thinkingFormat: 'deepseek', requiresReasoningContentOnAssistantMessages: true },
+    })
+  })
+
+  it('keeps reasoning true even for off (pi-ai gates the thinking field on it)', () => {
+    // 'off' yields {thinking: {type: 'disabled'}} on the wire — pi-ai only
+    // emits the field at all when model.reasoning is true.
+    expect(buildModel('m', { apiKey: 'k', baseURL: 'http://x', reasoning: 'off' }).reasoning).toBe(true)
+  })
+
+  it('adapter is constructible directly for embedding', () => {
+    expect(new PiAiAdapter({ apiKey: 'k', baseURL: 'http://x' })).toBeInstanceOf(PiAiAdapter)
+  })
+})
+
+describe('review fixes', () => {
+  it('defaults omitted reasoning config to thinking ENABLED (provider default)', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url) // no reasoning key at all
+    await ctx.llm.generate({ model: 'deepseek-v4-flash', messages: [] })
+    expect(server.requests[0]).toMatchObject({
+      thinking: { type: 'enabled' },
+      reasoning_effort: 'high',
+    })
+  })
+
+  it('replays reasoning_content on assistant tool-call turns (passback rule)', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url)
+    await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [
+        { role: 'user', content: [{ type: 'text', text: 'weather?' }] },
+        {
+          role: 'assistant',
+          content: [
+            { type: 'reasoning', text: 'I should check.' },
+            { type: 'tool-call', id: CallId('c1'), name: 'get_weather', arguments: '{"city":"Paris"}' },
+          ],
+        },
+        {
+          role: 'user',
+          content: [{ type: 'tool-result', toolCallId: CallId('c1'), content: [{ type: 'text', text: 'Sunny' }] }],
+        },
+      ],
+    })
+    const request = server.requests[0] as { messages: { role: string; reasoning_content?: string }[] }
+    const assistant = request.messages.find(message => message.role === 'assistant')
+    expect(assistant?.reasoning_content).toBe('I should check.')
+  })
+
+  it('aborts the upstream request when the consumer stops streaming early', async () => {
+    // Slow server: write one chunk, then hold the connection open and record
+    // whether the socket closes (the adapter must cancel on early break).
+    let socketClosed = false
+    const server = createServer((request: IncomingMessage, response: ServerResponse) => {
+      request.on('data', () => undefined)
+      request.on('end', () => {
+        response.writeHead(200, { 'content-type': 'text/event-stream' })
+        response.write(`data: ${textEvents[0]}\n\n`)
+        response.write(`data: ${textEvents[1]}\n\n`)
+        // never finish; rely on client abort
+        request.socket.on('close', () => { socketClosed = true })
+      })
+    })
+    servers.push(server)
+    await new Promise<void>(resolve => server.listen(0, '127.0.0.1', resolve))
+    const address = server.address()
+    if (address === null || typeof address === 'string') throw new Error('no port')
+    const ctx = await harness(`http://127.0.0.1:${address.port}`)
+
+    for await (const chunk of ctx.llm.stream({ model: 'deepseek-v4-flash', messages: [] })) {
+      if (chunk.type === 'text-delta') break // stop early mid-stream
+    }
+    // The finally-abort must reach the server as a closed socket.
+    await vi.waitFor(() => { expect(socketClosed).toBe(true) }, { timeout: 5_000 })
+  })
+})
+
+describe('review fixes: abort wiring', () => {
+  it('honors a pre-aborted caller signal', async () => {
+    const ctx = await harness('http://127.0.0.1:1')
+    const controller = new AbortController()
+    controller.abort('already cancelled')
+    // pi-ai surfaces the abort as an in-stream error event → aborted finish.
+    const result = await ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [],
+      signal: controller.signal,
+    })
+    expect(result.finish.kind).toBe('aborted')
+  })
+
+  it('propagates a mid-stream caller abort to the upstream request', async () => {
+    const server = await mockServer([{ events: textEvents }])
+    const ctx = await harness(server.url)
+    const controller = new AbortController()
+    const pending = ctx.llm.generate({
+      model: 'deepseek-v4-flash',
+      messages: [],
+      signal: controller.signal,
+    })
+    controller.abort()
+    const result = await pending
+    // Either the abort lands before any chunk (aborted) or after the tiny
+    // mock stream finished (stop) — both are valid races; never a hang.
+    expect(['aborted', 'stop']).toContain(result.finish.kind)
+  })
+})

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

@@ -0,0 +1,322 @@
+import { describe, expect, it } from 'vitest'
+import { CallId } from '@deepseek-ai/dsh-llm'
+import type { 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'
+
+function usage(input = 0, output = 0, cacheRead = 0, cacheWrite = 0): Usage {
+  return {
+    input,
+    output,
+    cacheRead,
+    cacheWrite,
+    totalTokens: input + output + cacheRead + cacheWrite,
+    cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
+  }
+}
+
+function assistant(overrides: Partial<AssistantMessage> = {}): AssistantMessage {
+  return {
+    role: 'assistant',
+    content: [],
+    api: 'openai-completions',
+    provider: 'deepseek',
+    model: 'deepseek-v4-flash',
+    usage: usage(),
+    stopReason: 'stop',
+    timestamp: 0,
+    ...overrides,
+  }
+}
+
+async function* feed(...events: AssistantMessageEvent[]): AsyncGenerator<AssistantMessageEvent> {
+  for (const event of events) yield event
+}
+
+async function collect(stream: AsyncIterable<StreamChunk>): Promise<StreamChunk[]> {
+  const out: StreamChunk[] = []
+  for await (const chunk of stream) out.push(chunk)
+  return out
+}
+
+describe('toPiContext', () => {
+  it('maps system prompt, user text, and tools', () => {
+    const context = toPiContext({
+      model: 'deepseek-v4-flash',
+      system: 'be helpful',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+      tools: [{ name: 'f', description: 'F', parameters: { type: 'object', properties: {} } }],
+    })
+    expect(context.systemPrompt).toBe('be helpful')
+    expect(context.messages).toEqual([{ role: 'user', content: 'hi', timestamp: 0 }])
+    expect(context.tools).toEqual([
+      { name: 'f', description: 'F', parameters: { type: 'object', properties: {} } },
+    ])
+  })
+
+  it('omits empty tools and absent system prompt', () => {
+    const context = toPiContext({ model: 'm', messages: [], tools: [] })
+    expect(context.systemPrompt).toBeUndefined()
+    expect(context.tools).toBeUndefined()
+  })
+
+  it('maps assistant text/reasoning/tool-call blocks', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{
+        role: 'assistant',
+        content: [
+          { type: 'reasoning', text: 'hmm' },
+          { type: 'text', text: 'calling' },
+          { type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{"a":1}' },
+        ],
+      }],
+    })
+    const message = context.messages[0] as AssistantMessage
+    expect(message.role).toBe('assistant')
+    expect(message.stopReason).toBe('toolUse')
+    expect(message.content).toEqual([
+      // thinkingSignature names the replay field — DeepSeek's passback rule.
+      { type: 'thinking', thinking: 'hmm', thinkingSignature: 'reasoning_content' },
+      { type: 'text', text: 'calling' },
+      { type: 'toolCall', id: 'c1', name: 'f', arguments: { a: 1 } },
+    ])
+  })
+
+  it('marks tool-call-free assistant messages with stopReason stop', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{ role: 'assistant', content: [{ type: 'text', text: 'done' }] }],
+    })
+    expect((context.messages[0] as AssistantMessage).stopReason).toBe('stop')
+  })
+
+  it('parses malformed tool-call arguments to {}', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{
+        role: 'assistant',
+        content: [{ type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{broken' }],
+      }],
+    })
+    const message = context.messages[0] as AssistantMessage
+    expect(message.content[0]).toEqual({ type: 'toolCall', id: 'c1', name: 'f', arguments: {} })
+  })
+
+  it('parses non-object argument JSON (arrays, scalars) to {}', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{
+        role: 'assistant',
+        content: [{ type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '[1,2]' }],
+      }],
+    })
+    expect((context.messages[0] as AssistantMessage).content[0]).toMatchObject({ arguments: {} })
+  })
+
+  it('recovers toolName for tool results from the preceding assistant call', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [
+        {
+          role: 'assistant',
+          content: [{ type: 'tool-call', id: CallId('c1'), name: 'get_weather', arguments: '{}' }],
+        },
+        {
+          role: 'user',
+          content: [{ type: 'tool-result', toolCallId: CallId('c1'), content: [{ type: 'text', text: 'Sunny' }] }],
+        },
+      ],
+    })
+    expect(context.messages[1]).toEqual({
+      role: 'toolResult',
+      toolCallId: 'c1',
+      toolName: 'get_weather',
+      content: [{ type: 'text', text: 'Sunny' }],
+      isError: false,
+      timestamp: 0,
+    })
+  })
+
+  it('labels unmatched tool results with toolName unknown and keeps isError', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{
+        role: 'user',
+        content: [{ type: 'tool-result', toolCallId: CallId('zz'), content: [], isError: true }],
+      }],
+    })
+    expect(context.messages[0]).toMatchObject({
+      role: 'toolResult',
+      toolName: 'unknown',
+      isError: true,
+      content: [{ type: 'text', text: '(no output)' }],
+    })
+  })
+
+  it('splits mixed user text + tool results and folds history system messages', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [
+        { role: 'system', content: [{ type: 'text', text: 'rule' }] },
+        {
+          role: 'user',
+          content: [
+            { type: 'text', text: 'note' },
+            { type: 'tool-result', toolCallId: CallId('c1'), content: [{ type: 'text', text: 'ok' }] },
+          ],
+        },
+      ],
+    })
+    expect(context.messages.map(message => message.role)).toEqual(['user', 'user', 'toolResult'])
+  })
+
+  it('skips image and unknown blocks in assistant content', () => {
+    const context = toPiContext({
+      model: 'm',
+      messages: [{
+        role: 'assistant',
+        content: [
+          { type: 'image', url: 'data:,x' },
+          { type: 'text', text: 'visible' },
+        ],
+      }],
+    })
+    expect((context.messages[0] as AssistantMessage).content).toEqual([{ type: 'text', text: 'visible' }])
+  })
+})
+
+describe('toStreamChunks', () => {
+  const partialWithToolCall = assistant({
+    content: [{ type: 'toolCall', id: 'call-1', name: 'f', arguments: {} }],
+  })
+
+  it('maps text events to text blocks', async () => {
+    const done = assistant({ content: [{ type: 'text', text: 'hi' }], usage: usage(3, 2) })
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'start', partial: assistant() },
+      { type: 'text_start', contentIndex: 0, partial: assistant() },
+      { type: 'text_delta', contentIndex: 0, delta: 'hi', partial: assistant() },
+      { type: 'text_end', contentIndex: 0, content: 'hi', partial: assistant() },
+      { type: 'done', reason: 'stop', message: done },
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'text' },
+      { type: 'text-delta', index: 0, text: 'hi' },
+      { type: 'block-end', index: 0, block: { type: 'text', text: 'hi' } },
+      { type: 'usage', usage: { inputTokens: 3, outputTokens: 2 } },
+      { type: 'finish', reason: { kind: 'stop' } },
+    ])
+  })
+
+  it('maps thinking events to reasoning blocks', async () => {
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'thinking_start', contentIndex: 0, partial: assistant() },
+      { type: 'thinking_delta', contentIndex: 0, delta: 'mull', partial: assistant() },
+      { type: 'thinking_end', contentIndex: 0, content: 'mull', partial: assistant() },
+      { type: 'done', reason: 'stop', message: assistant() },
+    )))
+    expect(chunks.slice(0, 3)).toEqual([
+      { type: 'block-start', index: 0, blockType: 'reasoning' },
+      { type: 'reasoning-delta', index: 0, text: 'mull' },
+      { type: 'block-end', index: 0, block: { type: 'reasoning', text: 'mull' } },
+    ])
+  })
+
+  it('maps tool-call events, re-stringifying parsed arguments', async () => {
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'toolcall_start', contentIndex: 0, partial: partialWithToolCall },
+      { type: 'toolcall_delta', contentIndex: 0, delta: '{"a"', partial: partialWithToolCall },
+      { type: 'toolcall_delta', contentIndex: 0, delta: ':1}', partial: partialWithToolCall },
+      {
+        type: 'toolcall_end',
+        contentIndex: 0,
+        toolCall: { type: 'toolCall', id: 'call-1', name: 'f', arguments: { a: 1 } },
+        partial: partialWithToolCall,
+      },
+      { type: 'done', reason: 'toolUse', message: assistant({ stopReason: 'toolUse' }) },
+    )))
+    expect(chunks).toEqual([
+      { type: 'block-start', index: 0, blockType: 'tool-call' },
+      { type: 'tool-call-delta', index: 0, id: 'call-1', name: 'f', argumentsDelta: '{"a"' },
+      { type: 'tool-call-delta', index: 0, id: 'call-1', name: 'f', argumentsDelta: ':1}' },
+      { type: 'block-end', index: 0, block: { type: 'tool-call', id: 'call-1', name: 'f', arguments: '{"a":1}' } },
+      { type: 'usage', usage: { inputTokens: 0, outputTokens: 0 } },
+      { type: 'finish', reason: { kind: 'tool-calls' } },
+    ])
+  })
+
+  it('tolerates toolcall_start with a missing partial entry', async () => {
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'toolcall_start', contentIndex: 0, partial: assistant() },
+      { type: 'toolcall_delta', contentIndex: 0, delta: '{}', partial: assistant() },
+      { type: 'done', reason: 'stop', message: assistant() },
+    )))
+    expect(chunks[1]).toEqual({ type: 'tool-call-delta', index: 0, id: '', argumentsDelta: '{}' })
+  })
+
+  it('maps error events to error finish chunks (in-stream error style)', async () => {
+    const error = assistant({ stopReason: 'error', errorMessage: 'boom', usage: usage(1, 0) })
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'error', reason: 'error', error },
+    )))
+    expect(chunks).toEqual([
+      { type: 'usage', usage: { inputTokens: 1, outputTokens: 0 } },
+      { type: 'finish', reason: { kind: 'error', message: 'boom', code: 'PI_AI_ERROR' } },
+    ])
+  })
+
+  it('maps aborted error events to aborted finish', async () => {
+    const error = assistant({ stopReason: 'aborted' })
+    const chunks = await collect(toStreamChunks(feed({ type: 'error', reason: 'aborted', error })))
+    expect(chunks.at(-1)).toEqual({ type: 'finish', reason: { kind: 'aborted' } })
+  })
+})
+
+describe('mapStopReason / mapUsage', () => {
+  it.each([
+    ['stop', { kind: 'stop' }],
+    ['length', { kind: 'max-tokens' }],
+    ['toolUse', { kind: 'tool-calls' }],
+    ['aborted', { kind: 'aborted' }],
+  ] as const)('maps %s', (stopReason, expected) => {
+    expect(mapStopReason(assistant({ stopReason }))).toEqual(expected)
+  })
+
+  it('defaults the error message when pi-ai omits it', () => {
+    expect(mapStopReason(assistant({ stopReason: 'error' })))
+      .toEqual({ kind: 'error', message: 'pi-ai stream error', code: 'PI_AI_ERROR' })
+  })
+
+  it('maps cache fields only when nonzero', () => {
+    expect(mapUsage(usage(10, 5, 8, 2))).toEqual({
+      inputTokens: 10,
+      outputTokens: 5,
+      cacheReadTokens: 8,
+      cacheWriteTokens: 2,
+    })
+    expect(mapUsage(usage(10, 5))).toEqual({ inputTokens: 10, outputTokens: 5 })
+  })
+})
+
+describe('toStreamChunks edge branches', () => {
+  it('omits the name field for tool calls whose partial carried an empty name', async () => {
+    const blank = assistant({ content: [{ type: 'toolCall', id: 'x', name: '', arguments: {} }] })
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'toolcall_start', contentIndex: 0, partial: blank },
+      { type: 'toolcall_delta', contentIndex: 0, delta: '{}', partial: blank },
+      { type: 'done', reason: 'stop', message: assistant() },
+    )))
+    expect(chunks[1]).toEqual({ type: 'tool-call-delta', index: 0, id: 'x', argumentsDelta: '{}' })
+  })
+})
+
+describe('toStreamChunks defensive branches', () => {
+  it('tolerates a toolcall_delta with no preceding toolcall_start', async () => {
+    const chunks = await collect(toStreamChunks(feed(
+      { type: 'toolcall_delta', contentIndex: 0, delta: '{}', partial: assistant() },
+      { type: 'done', reason: 'stop', message: assistant() },
+    )))
+    expect(chunks[0]).toEqual({ type: 'tool-call-delta', index: 0, id: '', argumentsDelta: '{}' })
+  })
+})

packages/llm-pi-ai/tsconfig.json

@@ -0,0 +1,14 @@
+{
+  "extends": "../../tsconfig.base.json",
+  "compilerOptions": {
+    "rootDir": "src",
+    "outDir": "lib"
+  },
+  "include": ["src"],
+  "references": [
+    { "path": "../../vendor/cosmokit" },
+    { "path": "../../vendor/cordis" },
+    { "path": "../../vendor/schemastery" },
+    { "path": "../llm" }
+  ]
+}

packages/llm/src/index.ts

@@ -30,9 +30,14 @@ declare module 'cordis' {
   }
 }
 
-/** Typed error for LLM-related failures. The `code` string enables programmatic handling. */
+/**
+ * Typed error for LLM-related failures. The `code` string enables programmatic
+ * handling (e.g. `AUTH`, `RATE_LIMIT`, `NO_ADAPTER`); `status` carries the HTTP
+ * status when the error originated from a non-2xx provider response (absent for
+ * protocol/usage errors that have no HTTP status).
+ */
 export class LlmError extends Error {
-  constructor(message: string, public code: string) {
+  constructor(message: string, public code: string, public status?: number) {
     super(message)
     this.name = 'LlmError'
   }
@@ -45,8 +50,10 @@ export class LlmError extends Error {
  * StreamChunk) and one provider's wire format. Adapters register themselves
  * via `ctx.llm.registerAdapter(models, adapter)`.
  *
- * TODO: the first real adapter (DeepSeek V4) lands in a later phase; until
+ * Real implementations: `@deepseek-ai/dsh-llm-deepseek` (hand-rolled
- * then only mock adapters (tests, demo) exist.
+ * fetch/SSE) and `@deepseek-ai/dsh-llm-pi-ai` (pi-ai-backed) — two
+ * deliberately different internals over the same contract; see the
+ * adapter contract documented on `StreamChunk` in `./types.ts`.
  */
 export abstract class LlmAdapter {
   /** Stream one model call as raw chunks. The only required method. */

packages/llm/src/types.ts

@@ -111,7 +111,14 @@ export interface FinishReasonMap {
 
 export type FinishReason = FinishReasonMap[keyof FinishReasonMap]
 
-/** Token accounting for one model call (cache fields are optional). */
+/**
+ * Token accounting for one model call (cache fields are optional).
+ *
+ * Counts are DISJOINT: `inputTokens` is uncached input only; cached input is
+ * reported separately as `cacheReadTokens`/`cacheWriteTokens` (billed input =
+ * sum of the three). Adapters whose providers fold cache hits into a total
+ * prompt count (DeepSeek's `prompt_tokens`) subtract them out.
+ */
 export interface TokenUsage {
   inputTokens: number
   outputTokens: number
@@ -128,9 +135,19 @@ export interface TokenUsage {
  * carries the fully-assembled ContentBlock so consumers don't have to
  * re-assemble deltas themselves (use {@link BlockAssembler} when they do).
  *
- * TODO(review): this protocol needs careful review before the first real
+ * Adapter contract — every adapter MUST obey these, and every consumer may
- * adapter lands (DeepSeek V4 wire format, partial JSON arguments, interleaved
+ * rely on them:
- * reasoning signatures, …).
+ * - Emit `usage` BEFORE `finish`, and nothing after `finish` (defer both to
+ *   the provider's end-of-stream marker so trailing usage-only chunks can't
+ *   violate this).
+ * - Tool-call `arguments` stay RAW JSON strings end-to-end; partial fragments
+ *   stream via `argumentsDelta` (providers that hand back parsed objects
+ *   re-stringify at `block-end`).
+ * - Failures may either THROW from `stream()` (transport/protocol errors) or
+ *   end the stream with `finish {kind:'error'|'aborted'}` (provider in-band
+ *   errors, for adapters that can't throw mid-stream); consumers must handle
+ *   both. The agent loop translates a finish-error/aborted into a turn error —
+ *   it never logs a normal completed assistant message for a failed step.
  */
 export type StreamChunk =
   | { type: 'block-start'; index: number; blockType: ContentBlockType }
@@ -168,6 +185,11 @@ export interface GenerateOptions {
   prefill?: ContentBlock[]
   temperature?: number
   maxTokens?: number
+  /**
+   * Stop sequences: generation halts as soon as the model produces any one of
+   * these strings (adapters map to the provider's stop field, e.g. OpenAI
+   * `stop`). The stop string itself is not included in the output.
+   */
   stop?: string[]
   signal?: AbortSignal
 }

scripts/publint-all.ts

@@ -11,6 +11,8 @@ const packages = [
   'packages/agent',
   'packages/agent-loop',
   'packages/bash',
+  'packages/llm-deepseek',
+  'packages/llm-pi-ai',
   'packages/bash-local',
   'packages/tool-bash',
 ]

tsconfig.base.json

@@ -41,6 +41,8 @@
       "@deepseek-ai/dsh-agent": ["./packages/agent/src"],
       "@deepseek-ai/dsh-agent-loop": ["./packages/agent-loop/src"],
       "@deepseek-ai/dsh-bash": ["./packages/bash/src"],
+      "@deepseek-ai/dsh-llm-deepseek": ["./packages/llm-deepseek/src"],
+      "@deepseek-ai/dsh-llm-pi-ai": ["./packages/llm-pi-ai/src"],
       "@deepseek-ai/dsh-bash-local": ["./packages/bash-local/src"],
       "@deepseek-ai/dsh-tool-bash": ["./packages/tool-bash/src"]
     }

tsconfig.build.json

@@ -17,6 +17,8 @@
     { "path": "./packages/tools" },
     { "path": "./packages/agent-loop" },
     { "path": "./packages/bash" },
+    { "path": "./packages/llm-deepseek" },
+    { "path": "./packages/llm-pi-ai" },
     { "path": "./packages/bash-local" },
     { "path": "./packages/tool-bash" }
   ]

tsconfig.typecheck.json

@@ -23,6 +23,8 @@
       "@deepseek-ai/dsh-agent": ["./packages/agent/src"],
       "@deepseek-ai/dsh-agent-loop": ["./packages/agent-loop/src"],
       "@deepseek-ai/dsh-bash": ["./packages/bash/src"],
+      "@deepseek-ai/dsh-llm-deepseek": ["./packages/llm-deepseek/src"],
+      "@deepseek-ai/dsh-llm-pi-ai": ["./packages/llm-pi-ai/src"],
       "@deepseek-ai/dsh-bash-local": ["./packages/bash-local/src"],
       "@deepseek-ai/dsh-tool-bash": ["./packages/tool-bash/src"]
     }

vitest.e2e.config.ts

@@ -0,0 +1,34 @@
+import tsconfigPaths from 'vite-tsconfig-paths'
+import { defineConfig } from 'vitest/config'
+
+// Real-API end-to-end tests: `yarn test:e2e`, file pattern *.e2e.ts.
+// Separate from the default suite (`yarn test`, *.spec.ts) on purpose —
+// these hit the live DeepSeek API, spend tokens, and need a key.
+//
+// Secrets: tests gate themselves with
+// `describe.skipIf(!process.env.DEEPSEEK_API_KEY)`, so the suite passes
+// (all-skipped) without credentials — CI has none and stays green. Put the
+// key in the environment or in a gitignored `.env` at the repo root:
+//
+//     DEEPSEEK_API_KEY=sk-…
+//     DEEPSEEK_BASE_URL=https://…   # optional, defaults to the public API
+try {
+  // Node >= 21.7 native; throws when the file does not exist.
+  process.loadEnvFile(new URL('.env', import.meta.url).pathname)
+} catch {
+  // No .env — fine, the environment may already carry the variables.
+}
+
+export default defineConfig({
+  // Same resolution note as vitest.config.ts: bare workspace names resolve
+  // through the root tsconfig paths map; the native option cannot do this.
+  plugins: [tsconfigPaths({ projects: ['./tsconfig.test.json'] })],
+  test: {
+    include: ['packages/*/tests/**/*.e2e.ts', 'examples/*/tests/**/*.e2e.ts'],
+    // Real model calls: generous timeouts, one retry for transient flakes,
+    // no coverage (unit suites own the coverage gate).
+    testTimeout: 120_000,
+    hookTimeout: 30_000,
+    retry: 1,
+  },
+})