Merge master (slash/input/session architecture) into web-session-model-selector

This commit is contained in:
imccyu
2026-07-27 10:23:51 +08:00
2673 changed files with 101832 additions and 39946 deletions

View File

@@ -1,5 +1,5 @@
import { describe, expect, it } from 'vitest'
import { BlockAssembler, LlmError } from '@deepseek-ai/dsh-llm'
import { BlockAssembler, EMPTY_RESPONSE_CODE, LlmError } from '@deepseek-ai/dsh-llm'
import type { StreamChunk } from '@deepseek-ai/dsh-llm'
import { DONE } from '../src/sse.ts'
import { mapFinishReason, mapUsage, translate } from '../src/translate.ts'
@@ -203,7 +203,50 @@ describe('translate: finish and usage handling', () => {
it('handles chunks with no choices at all', async () => {
const chunks = await collect(translate(feed({}, DONE)))
expect(chunks).toEqual([{ type: 'finish', reason: { kind: 'stop' } }])
expect(chunks).toEqual([{
type: 'finish',
reason: {
kind: 'error',
failure: { message: 'model returned a completed response with no content', code: EMPTY_RESPONSE_CODE },
},
}])
})
it('classifies an explicit stop with no opened blocks as EMPTY_RESPONSE, after usage', async () => {
const chunks = await collect(translate(feed(
firstChunk,
{ choices: [{ delta: {}, finish_reason: 'stop' }], usage: { prompt_tokens: 7, completion_tokens: 0 } },
DONE,
)))
expect(chunks).toEqual([
{ type: 'usage', usage: { inputTokens: 7, outputTokens: 0 } },
{
type: 'finish',
reason: {
kind: 'error',
failure: { message: 'model returned a completed response with no content', code: EMPTY_RESPONSE_CODE },
},
},
])
})
it('keeps a reasoning-only stream a successful stop (any opened block counts)', async () => {
const chunks = await collect(translate(feed(
firstChunk,
{ choices: [{ delta: { content: null, reasoning_content: 'mull' } }] },
{ choices: [{ delta: {}, finish_reason: 'stop' }] },
DONE,
)))
expect(chunks.at(-1)).toEqual({ type: 'finish', reason: { kind: 'stop' } })
})
it('leaves non-stop finishes unclassified even with no opened blocks', async () => {
const chunks = await collect(translate(feed(
firstChunk,
{ choices: [{ delta: {}, finish_reason: 'length' }] },
DONE,
)))
expect(chunks.at(-1)).toEqual({ type: 'finish', reason: { kind: 'max-tokens' } })
})
})