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

import { describe, expect, it } from 'vitest'
import { createUserMessage, CallId, CONTEXT_WINDOW_EXCEEDED_CODE, EMPTY_RESPONSE_CODE, LlmError , createMessage } from '@deepseek-ai/dsh-llm'
import type { ContentBlock, StreamChunk } from '@deepseek-ai/dsh-llm'
import type { AssistantMessage, AssistantMessageEvent, Usage } from '@earendil-works/pi-ai'
import { toPiContext } from '../src/context.ts'
import { toPiReplayState } from '../src/replay.ts'
import { mapStopReason, mapUsage, toStreamChunks } from '../src/stream.ts'

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({
      provider: 'deepseek',
      model: 'deepseek-v4-flash',
      system: 'be helpful',
      messages: [createUserMessage({
        content: [{ type: 'text', text: 'hi' }],
        source: { kind: 'plugin', plugin: 'test' },
      })],
      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({ provider: 'deepseek', model: 'm', messages: [], tools: [] })
    expect(context.systemPrompt).toBeUndefined()
    expect(context.tools).toBeUndefined()
  })

  it('maps assistant text/reasoning/tool-call blocks', () => {
    const context = toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [
          { type: 'reasoning', text: 'hmm' },
          { type: 'text', text: 'calling' },
          { type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{"a":1}' },
        ],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    const message = context.messages[0] as AssistantMessage
    expect(message.role).toBe('assistant')
    expect(message.stopReason).toBe('toolUse')
    expect(message.content).toEqual([
      { type: 'thinking', thinking: 'hmm' },
      { 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({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant', content: [{ type: 'text', text: 'done' }],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    expect((context.messages[0] as AssistantMessage).stopReason).toBe('stop')
  })

  it('preserves model provenance for foreign assistant messages without replay state', () => {
    const context = toPiContext({
      provider: 'openai',
      model: 'new-model',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'text', text: 'done' }],
        source: { kind: 'model', provider: 'deepseek', model: 'old-model' },
      })],
    })
    expect(context.messages[0]).toMatchObject({
      role: 'assistant',
      api: 'dsh-foreign',
      provider: 'deepseek',
      model: 'old-model',
    })
  })

  it('parses malformed tool-call arguments to {}', () => {
    const context = toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{broken' }],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    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({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '[1,2]' }],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    expect((context.messages[0] as AssistantMessage).content[0]).toMatchObject({ arguments: {} })
  })

  it('recovers toolName for tool results from the preceding assistant call', () => {
    const context = toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [
        createMessage({
          role: 'assistant',
          content: [{ type: 'tool-call', id: CallId('c1'), name: 'get_weather', arguments: '{}' }],
          source: { kind: 'plugin', plugin: 'test' },
        }),
        createUserMessage({
          content: [{ type: 'tool-result', toolCallId: CallId('c1'), content: [{ type: 'text', text: 'Sunny' }] }],
          source: { kind: 'plugin', plugin: 'test' },
        }),
      ],
    })
    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({
      provider: 'deepseek',
      model: 'm',
      messages: [createUserMessage({
        content: [{ type: 'tool-result', toolCallId: CallId('zz'), content: [], isError: true }],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    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({
      provider: 'deepseek',
      model: 'm',
      messages: [
        createMessage({
          role: 'system', content: [{ type: 'text', text: 'rule' }],
          source: { kind: 'plugin', plugin: 'test' },
        }),
        createUserMessage({
          content: [
            { type: 'text', text: 'note' },
            { type: 'tool-result', toolCallId: CallId('c1'), content: [{ type: 'text', text: 'ok' }] },
          ],
          source: { kind: 'plugin', plugin: 'test' },
        }),
      ],
    })
    expect(context.messages.map(message => message.role)).toEqual(['user', 'user', 'toolResult'])
  })

  it('skips plugin-added (unknown) blocks in assistant content', () => {
    const context = toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [
          { type: 'chart', data: 'x' } as unknown as ContentBlock,
          { type: 'text', text: 'visible' },
        ],
        source: { kind: 'plugin', plugin: 'test' },
      })],
    })
    expect((context.messages[0] as AssistantMessage).content).toEqual([{ type: 'text', text: 'visible' }])
  })

  it('recombines durable content with pi-ai replay metadata across target providers and models', () => {
    const state = toPiReplayState(assistant({
      api: 'openai-responses',
      provider: 'openai',
      model: 'gpt-5',
      responseModel: 'gpt-5-2026-01-01',
      responseId: 'resp_123',
      stopReason: 'toolUse',
      content: [
        { type: 'thinking', thinking: 'private reasoning', thinkingSignature: 'think-sig', redacted: true },
        { type: 'text', text: 'calling', textSignature: 'text-sig' },
        { type: 'toolCall', id: 'c1', name: 'f', arguments: { a: 1 }, thoughtSignature: 'tool-sig' },
      ],
    }))
    const context = toPiContext({
      provider: 'anthropic',
      model: 'claude-next',
      messages: [createMessage({
        role: 'assistant',
        content: [
          { type: 'reasoning', text: 'private reasoning' },
          { type: 'text', text: 'calling' },
          { type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{"a":1}' },
        ],
        source: {
          kind: 'model',
          ...{ provider: 'openai', model: 'gpt-5', replayState: state },
        },
      })],
    })

    expect(context.messages[0]).toMatchObject({
      role: 'assistant',
      api: 'openai-responses',
      provider: 'openai',
      model: 'gpt-5',
      responseModel: 'gpt-5-2026-01-01',
      responseId: 'resp_123',
      stopReason: 'toolUse',
      content: [
        { type: 'thinking', thinking: 'private reasoning', thinkingSignature: 'think-sig', redacted: true },
        { type: 'text', text: 'calling', textSignature: 'text-sig' },
        { type: 'toolCall', id: 'c1', name: 'f', arguments: { a: 1 }, thoughtSignature: 'tool-sig' },
      ],
    })
  })

  it('replays all native block kinds when optional metadata is absent', () => {
    const state = toPiReplayState(assistant({
      content: [
        { type: 'thinking', thinking: 'private reasoning' },
        { type: 'text', text: 'calling' },
        { type: 'toolCall', id: 'c1', name: 'f', arguments: { a: 1 } },
      ],
    }))
    const context = toPiContext({
      provider: 'deepseek',
      model: 'new-model',
      messages: [createMessage({
        role: 'assistant',
        content: [
          { type: 'reasoning', text: 'private reasoning' },
          { type: 'text', text: 'calling' },
          { type: 'tool-call', id: CallId('c1'), name: 'f', arguments: '{"a":1}' },
        ],
        source: {
          kind: 'model',
          ...{ provider: 'deepseek', model: 'deepseek-v4-flash', replayState: state },
        },
      })],
    })

    expect(context.messages[0]).toMatchObject({
      role: 'assistant',
      content: [
        { type: 'thinking', thinking: 'private reasoning' },
        { type: 'text', text: 'calling' },
        { type: 'toolCall', id: 'c1', name: 'f', arguments: { a: 1 } },
      ],
    })
    expect(context.messages[0]).not.toHaveProperty('responseModel')
    expect(context.messages[0]).not.toHaveProperty('responseId')
  })

  it('rejects unsupported replay-state versions with a stable error code', () => {
    try {
      toPiContext({
        provider: 'deepseek',
        model: 'm',
        messages: [createMessage({
          role: 'assistant',
          content: [{ type: 'text', text: 'done' }],
          source: {
            kind: 'model',
            ...{
              provider: 'deepseek',
              model: 'old',
              replayState: { kind: 'pi-ai', version: 2 },
            },
          },
        })],
      })
      expect.fail('expected invalid replay state')
    } catch (error: unknown) {
      expect(error).toBeInstanceOf(LlmError)
      expect((error as LlmError).code).toBe('INVALID_REPLAY_STATE')
      expect((error as Error).message).toContain('unsupported version 2')
    }
  })

  it('rejects replay metadata whose blocks do not match the durable content', () => {
    const state = toPiReplayState(assistant({ content: [{ type: 'text', text: 'done' }] }))
    expect(() => toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'reasoning', text: 'done' }],
        source: {
          kind: 'model',
          ...{ provider: 'deepseek', model: 'deepseek-v4-flash', replayState: state },
        },
      })],
    })).toThrow(/block 0 does not match assistant content/)
  })

  it('rejects replay metadata whose block count differs from durable content', () => {
    const state = toPiReplayState(assistant())
    expect(() => toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'text', text: 'done' }],
        source: {
          kind: 'model',
          ...{ provider: 'deepseek', model: 'deepseek-v4-flash', replayState: state },
        },
      })],
    })).toThrow(/block count does not match assistant content/)
  })

  const validReplay = {
    kind: 'pi-ai',
    version: 1,
    api: 'openai-completions',
    provider: 'deepseek',
    model: 'deepseek-v4-flash',
    stopReason: 'stop',
    blocks: [{ type: 'text' }],
  }

  it.each([
    ['provider', { ...validReplay, provider: 'openai' }],
    ['model', { ...validReplay, model: 'deepseek-v4-pro' }],
  ])('rejects replay metadata whose %s differs from assistant source', (field, replayState) => {
    try {
      toPiContext({
        provider: 'deepseek',
        model: 'next-model',
        messages: [createMessage({
          role: 'assistant',
          content: [{ type: 'text', text: 'done' }],
          source: {
            kind: 'model',
            ...{ provider: 'deepseek', model: 'deepseek-v4-flash', replayState },
          },
        })],
      })
      expect.fail('expected invalid replay state')
    } catch (error: unknown) {
      expect(error).toBeInstanceOf(LlmError)
      expect((error as LlmError).code).toBe('INVALID_REPLAY_STATE')
      expect((error as Error).message).toContain(`${field} does not match assistant source`)
    }
  })

  it.each([
    ['number state', 1, 'expected an object'],
    ['null state', null, 'expected an object'],
    ['array state', [], 'expected an object'],
    ['unknown kind', { ...validReplay, kind: 'other' }, 'unknown state kind'],
    ['non-string api', { ...validReplay, api: 1 }, 'api must be a non-empty string'],
    ['empty provider', { ...validReplay, provider: '' }, 'provider must be a non-empty string'],
    ['missing model', { ...validReplay, model: undefined }, 'model must be a non-empty string'],
    ['unknown stop reason', { ...validReplay, stopReason: 'pause' }, 'unknown stopReason'],
    ['non-string response model', { ...validReplay, responseModel: 1 }, 'responseModel must be a string'],
    ['non-string response id', { ...validReplay, responseId: 1 }, 'responseId must be a string'],
    ['non-array blocks', { ...validReplay, blocks: 'text' }, 'blocks must be an array'],
    ['number block', { ...validReplay, blocks: [1] }, 'block 0 must be an object'],
    ['null block', { ...validReplay, blocks: [null] }, 'block 0 must be an object'],
    ['array block', { ...validReplay, blocks: [[]] }, 'block 0 must be an object'],
    ['unknown block type', { ...validReplay, blocks: [{ type: 'audio' }] }, 'block 0 has an unknown type'],
    ['non-string signature', { ...validReplay, blocks: [{ type: 'text', textSignature: 1 }] }, 'textSignature must be a string'],
    ['non-boolean redaction', { ...validReplay, blocks: [{ type: 'reasoning', redacted: 'yes' }] }, 'redacted must be boolean'],
  ])('rejects malformed replay state: %s', (_name, replayState, message) => {
    expect(() => toPiContext({
      provider: 'deepseek',
      model: 'm',
      messages: [createMessage({
        role: 'assistant',
        content: [{ type: 'text', text: 'done' }],
        source: {
          kind: 'model',
          ...{ provider: 'deepseek', model: 'deepseek-v4-flash', replayState },
        },
      })],
    })).toThrow(message)
  })
})

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' },
        replayState: {
          kind: 'pi-ai',
          version: 1,
          api: 'openai-completions',
          provider: 'deepseek',
          model: 'deepseek-v4-flash',
          stopReason: 'stop',
          blocks: [{ type: 'text' }],
        },
      },
    ])
  })

  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({ content: partialWithToolCall.content, 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' },
        replayState: {
          kind: 'pi-ai',
          version: 1,
          api: 'openai-completions',
          provider: 'deepseek',
          model: 'deepseek-v4-flash',
          stopReason: 'toolUse',
          blocks: [{ type: 'tool-call' }],
        },
      },
    ])
  })

  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', failure: { 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', failure: { message: 'pi-ai stream aborted', code: 'ABORTED' } },
    })
  })

  it('rejects a stream that ends without done or error', async () => {
    await expect(collect(toStreamChunks(feed({ type: 'start', partial: assistant() }))))
      .rejects.toThrow(/without done\/error/)
  })

  it('preserves an unknown SDK iterator Error exactly', async () => {
    const original = Object.assign(new Error('SDK transport exploded'), { code: 'ECONNRESET' })
    async function* failedSdkStream(): AsyncGenerator<AssistantMessageEvent> {
      throw original
    }

    await expect(collect(toStreamChunks(failedSdkStream()))).rejects.toBe(original)
  })
})

describe('mapStopReason / mapUsage', () => {
  it.each([
    ['stop', { kind: 'stop' }],
    ['length', { kind: 'max-tokens' }],
    ['toolUse', { kind: 'tool-calls' }],
    ['aborted', { kind: 'aborted', failure: { message: 'pi-ai stream aborted', code: 'ABORTED' } }],
  ] as const)('maps %s', (stopReason, expected) => {
    expect(mapStopReason(assistant({ stopReason, content: [{ type: 'text', text: 'ok' }] }))).toEqual(expected)
  })

  it('classifies a completed stop with no content as an EMPTY_RESPONSE error', () => {
    expect(mapStopReason(assistant({ stopReason: 'stop' }))).toEqual({
      kind: 'error',
      failure: {
        message: 'model "deepseek-v4-flash" returned a completed response with no content',
        code: EMPTY_RESPONSE_CODE,
      },
    })
  })

  it('keeps a thinking-only stop successful (any block counts as content)', () => {
    expect(mapStopReason(assistant({ stopReason: 'stop', content: [{ type: 'thinking', thinking: 'mull' }] })))
      .toEqual({ kind: 'stop' })
  })

  it('defaults the error message when pi-ai omits it', () => {
    expect(mapStopReason(assistant({ stopReason: 'error' })))
      .toEqual({ kind: 'error', failure: { message: 'pi-ai stream error', code: 'PI_AI_ERROR' } })
  })

  it('maps routable HTTP-ish error messages to stable codes', () => {
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'HTTP 401: bad key' })))
      .toMatchObject({ kind: 'error', failure: { code: 'AUTH' } })
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'HTTP 429: rate limit' })))
      .toMatchObject({ kind: 'error', failure: { code: 'RATE_LIMIT' } })
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'HTTP 429: insufficient_quota' })))
      .toMatchObject({ kind: 'error', failure: { code: 'QUOTA' } })
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'OpenAI API error (429): You exceeded your current quota, please check your plan and billing details.',
    }))).toMatchObject({ kind: 'error', failure: { code: 'QUOTA' } })
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'HTTP 500: backend down' })))
      .toMatchObject({ kind: 'error', failure: { code: 'SERVER' } })
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'provider timed out' })))
      .toMatchObject({ kind: 'error', failure: { code: 'TIMEOUT' } })
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage: 'ECONNRESET socket closed' })))
      .toMatchObject({ kind: 'error', failure: { code: 'TRANSPORT' } })
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'HTTP 400: input exceeds the model context window limit',
    }))).toMatchObject({ kind: 'error', failure: { code: CONTEXT_WINDOW_EXCEEDED_CODE } })
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'HTTP 400: request too large for model context',
    }))).toMatchObject({ kind: 'error', failure: { code: CONTEXT_WINDOW_EXCEEDED_CODE } })
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'HTTP 400: invalid input: temperature exceeds maximum allowed value',
    }))).toMatchObject({ kind: 'error', failure: { code: 'INVALID_REQUEST' } })
  })

  it.each([
    'other side closed',
    'HTTP2 request did not get a response',
    'WebSocket closed unexpectedly',
    // undici flattens a mid-stream socket drop to this bare word (its SocketError
    // cause is discarded upstream before it reaches us).
    'terminated',
    'Premature close',
    // pi-ai's per-provider throws when the wire closes before the terminal event.
    'Anthropic stream ended before message_stop',
    'OpenAI Responses stream ended before a terminal response event',
    'openrouter stream ended without a terminal event',
    'Stream ended without finish_reason',
  ])('maps pi-ai transport wording %j', (errorMessage) => {
    expect(mapStopReason(assistant({ stopReason: 'error', errorMessage })))
      .toMatchObject({ kind: 'error', failure: { code: 'TRANSPORT' } })
  })

  it('uses pi-ai provider-specific overflow classification without losing rate-limit exclusions', () => {
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'prompt is too long: 213462 tokens > 200000 maximum',
    }))).toMatchObject({ kind: 'error', failure: { code: CONTEXT_WINDOW_EXCEEDED_CODE } })
    expect(mapStopReason(assistant({
      stopReason: 'error',
      errorMessage: 'ThrottlingException: Too many tokens, rate limit reached',
    }))).toMatchObject({ kind: 'error', failure: { code: 'RATE_LIMIT' } })
  })

  it('uses the resolved context window for silent and length-stop overflows', () => {
    // Non-empty content keeps the no-window branch on the successful stop path
    // (an empty stop is EMPTY_RESPONSE, covered above); overflow wins over both.
    const silent = assistant({ stopReason: 'stop', usage: usage(101, 0), content: [{ type: 'text', text: 'x' }] })
    expect(mapStopReason(silent)).toEqual({ kind: 'stop' })
    expect(mapStopReason(silent, 100)).toEqual({
      kind: 'error',
      failure: {
        message: 'pi-ai detected context overflow for model "deepseek-v4-flash"',
        code: CONTEXT_WINDOW_EXCEEDED_CODE,
      },
    })

    const truncated = assistant({ stopReason: 'length', usage: usage(80, 0, 19) })
    expect(mapStopReason(truncated)).toEqual({ kind: 'max-tokens' })
    expect(mapStopReason(truncated, 100)).toMatchObject({
      kind: 'error',
      failure: { code: CONTEXT_WINDOW_EXCEEDED_CODE },
    })
  })

  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: '{}' })
  })
})