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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

385 lines
13 KiB
TypeScript

/**
* @vitest-environment node
*/
import { beforeEach, describe, expect, it, vi } from 'vitest'
type StreamUsage = { prompt_tokens: number; completion_tokens: number; total_tokens: number }
const { mockCreate, mockExecuteTool, streamOnComplete, MockAPIError } = vi.hoisted(() => {
class MockAPIError extends Error {
status?: number
code?: string | null
type?: string
constructor(message: string, opts: { status?: number; code?: string; type?: string } = {}) {
super(message)
this.name = 'APIError'
this.status = opts.status
this.code = opts.code
this.type = opts.type
}
}
return {
mockCreate: vi.fn(),
mockExecuteTool: vi.fn(),
streamOnComplete: {
current: undefined as undefined | ((content: string, usage: StreamUsage) => void),
},
MockAPIError,
}
})
vi.mock('openai', () => {
const OpenAI = vi.fn().mockImplementation(
class {
chat = { completions: { create: mockCreate } }
}
)
;(OpenAI as unknown as { APIError: typeof MockAPIError }).APIError = MockAPIError
return { default: OpenAI }
})
vi.mock('@/lib/core/utils/urls', () => ({ getOllamaUrl: () => 'http://localhost:11434' }))
vi.mock('@/providers', () => ({ MAX_TOOL_ITERATIONS: 20 }))
vi.mock('@/providers/attachments', () => ({
formatMessagesForProvider: (messages: unknown) => messages,
}))
vi.mock('@/providers/trace-enrichment', () => ({
enrichLastModelSegmentFromChatCompletions: vi.fn(),
}))
vi.mock('@/providers/ollama/utils', () => ({
createReadableStreamFromOllamaStream: (
_stream: unknown,
onComplete: (content: string, usage: StreamUsage) => void
) => {
streamOnComplete.current = onComplete
return 'OLLAMA_STREAM'
},
}))
vi.mock('@/providers/utils', () => ({
calculateCost: () => ({ input: 0, output: 0, total: 0, pricing: null }),
generateSchemaInstructions: () => 'SCHEMA_INSTRUCTIONS',
prepareToolExecution: (_tool: unknown, args: Record<string, unknown>) => ({
toolParams: args,
executionParams: args,
}),
sumToolCosts: () => 0,
}))
vi.mock('@/tools', () => ({ executeTool: mockExecuteTool }))
vi.mock('@/stores/providers', () => ({
useProvidersStore: { getState: () => ({ setProviderModels: vi.fn() }) },
}))
import { ollamaProvider } from '@/providers/ollama'
import type { ProviderRequest, ProviderResponse, ProviderToolConfig } from '@/providers/types'
interface StreamingResult {
stream: string
execution: {
output: {
content: string
tokens: { input: number; output: number; total: number }
toolCalls?: { list: unknown[]; count: number }
}
}
}
type ToolCallChunk = { id: string; type: 'function'; function: { name: string; arguments: string } }
function completion(
opts: { content?: string | null; toolCalls?: ToolCallChunk[]; usage?: StreamUsage } = {}
) {
return {
choices: [{ message: { content: opts.content ?? null, tool_calls: opts.toolCalls } }],
usage: opts.usage ?? { prompt_tokens: 5, completion_tokens: 3, total_tokens: 8 },
}
}
function makeTool(id: string, usageControl?: 'auto' | 'force' | 'none'): ProviderToolConfig {
return {
id,
name: id,
description: `${id} tool`,
params: {},
parameters: { type: 'object', properties: {}, required: [] },
...(usageControl ? { usageControl } : {}),
}
}
const baseRequest: ProviderRequest = {
model: 'llama3.2',
messages: [{ role: 'user', content: 'hi' }],
}
describe('ollamaProvider.executeRequest', () => {
beforeEach(() => {
vi.clearAllMocks()
streamOnComplete.current = undefined
mockCreate.mockResolvedValue(completion({ content: 'hello' }))
mockExecuteTool.mockResolvedValue({ success: true, output: { ok: true } })
})
it('assembles system, context, then history in order and forwards params', async () => {
const result = (await ollamaProvider.executeRequest({
...baseRequest,
systemPrompt: 'be nice',
context: 'ctx',
temperature: 0.5,
maxTokens: 128,
})) as ProviderResponse
expect(result).toMatchObject({ content: 'hello', model: 'llama3.2' })
const payload = mockCreate.mock.calls[0][0]
expect(payload.messages).toEqual([
{ role: 'system', content: 'be nice' },
{ role: 'user', content: 'ctx' },
{ role: 'user', content: 'hi' },
])
expect(payload.model).toBe('llama3.2')
expect(payload.temperature).toBe(0.5)
expect(payload.max_tokens).toBe(128)
})
it('returns content verbatim (keeps ```json fences) when no responseFormat', async () => {
const fenced = '```json\n{"a":1}\n```'
mockCreate.mockResolvedValue(completion({ content: fenced }))
const result = (await ollamaProvider.executeRequest(baseRequest)) as ProviderResponse
expect(result.content).toBe(fenced)
})
it('strips ```json fences and requests JSON mode with schema instructions when responseFormat is set', async () => {
mockCreate.mockResolvedValue(completion({ content: '```json\n{"a":1}\n```' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
responseFormat: { name: 'r', schema: { type: 'object' }, strict: true },
})) as ProviderResponse
expect(result.content).toBe('{"a":1}')
const payload = mockCreate.mock.calls[0][0]
expect(payload.response_format).toEqual({ type: 'json_object' })
expect(payload.messages.at(-1)).toEqual({ role: 'user', content: 'SCHEMA_INSTRUCTIONS' })
})
it('defers structured output while tools run, then makes a final JSON-mode call', async () => {
mockCreate
.mockResolvedValueOnce(
completion({
toolCalls: [
{ id: 'call_1', type: 'function', function: { name: 'mytool', arguments: '{}' } },
],
})
)
.mockResolvedValueOnce(completion({ content: 'intermediate' }))
.mockResolvedValueOnce(completion({ content: '{"a":1}' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
tools: [makeTool('mytool')],
responseFormat: { name: 'r', schema: { type: 'object' } },
})) as ProviderResponse
expect(mockCreate).toHaveBeenCalledTimes(3)
expect(mockCreate.mock.calls[0][0].response_format).toBeUndefined()
expect(mockCreate.mock.calls[0][0].tools).toBeDefined()
const finalCall = mockCreate.mock.calls[2][0]
expect(finalCall.response_format).toEqual({ type: 'json_object' })
expect(finalCall.tools).toBeUndefined()
expect(finalCall.messages.at(-1)).toEqual({ role: 'user', content: 'SCHEMA_INSTRUCTIONS' })
expect(result.content).toBe('{"a":1}')
})
it('runs the tool loop: parses string args, feeds results back, then terminates', async () => {
mockCreate
.mockResolvedValueOnce(
completion({
toolCalls: [
{ id: 'call_1', type: 'function', function: { name: 'mytool', arguments: '{"x":1}' } },
],
})
)
.mockResolvedValueOnce(completion({ content: 'done' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
tools: [makeTool('mytool')],
})) as ProviderResponse
expect(mockExecuteTool).toHaveBeenCalledWith('mytool', { x: 1 }, expect.anything())
expect(mockCreate).toHaveBeenCalledTimes(2)
expect(result.content).toBe('done')
expect(result.toolCalls).toEqual([
expect.objectContaining({ name: 'mytool', success: true, arguments: { x: 1 } }),
])
expect(result.toolResults).toEqual([{ ok: true }])
const followUp = mockCreate.mock.calls[1][0].messages
expect(followUp).toContainEqual(
expect.objectContaining({
role: 'assistant',
content: null,
tool_calls: [
expect.objectContaining({
id: 'call_1',
function: { name: 'mytool', arguments: '{"x":1}' },
}),
],
})
)
expect(followUp).toContainEqual({
role: 'tool',
tool_call_id: 'call_1',
content: JSON.stringify({ ok: true }),
})
})
it('records a failed tool result without aborting the loop', async () => {
mockExecuteTool.mockResolvedValue({ success: false, error: 'boom' })
mockCreate
.mockResolvedValueOnce(
completion({
toolCalls: [
{ id: 'call_1', type: 'function', function: { name: 'mytool', arguments: '{}' } },
],
})
)
.mockResolvedValueOnce(completion({ content: 'recovered' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
tools: [makeTool('mytool')],
})) as ProviderResponse
expect(result.content).toBe('recovered')
expect(result.toolCalls?.[0]).toMatchObject({ name: 'mytool', success: false })
const toolMsg = mockCreate.mock.calls[1][0].messages.find(
(m: { role: string }) => m.role === 'tool'
)
expect(JSON.parse(toolMsg.content)).toMatchObject({ error: true, message: 'boom' })
})
it('executes parallel tool calls from a single response', async () => {
mockExecuteTool
.mockResolvedValueOnce({ success: true, output: { from: 'a' } })
.mockResolvedValueOnce({ success: true, output: { from: 'b' } })
mockCreate
.mockResolvedValueOnce(
completion({
toolCalls: [
{ id: 'call_a', type: 'function', function: { name: 'a', arguments: '{}' } },
{ id: 'call_b', type: 'function', function: { name: 'b', arguments: '{}' } },
],
})
)
.mockResolvedValueOnce(completion({ content: 'summary' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
tools: [makeTool('a'), makeTool('b')],
})) as ProviderResponse
expect(mockExecuteTool).toHaveBeenCalledTimes(2)
expect(result.toolCalls?.map((c) => c.name)).toEqual(['a', 'b'])
const toolMsgs = mockCreate.mock.calls[1][0].messages.filter(
(m: { role: string }) => m.role === 'tool'
)
expect(toolMsgs.map((m: { tool_call_id: string }) => m.tool_call_id)).toEqual([
'call_a',
'call_b',
])
})
it('filters out tools with usageControl "none"', async () => {
await ollamaProvider.executeRequest({
...baseRequest,
tools: [makeTool('keep'), makeTool('drop', 'none')],
})
const sent = mockCreate.mock.calls[0][0].tools
expect(sent.map((t: { function: { name: string } }) => t.function.name)).toEqual(['keep'])
})
it('never forces tools (Ollama ignores tool_choice) and keeps "auto"', async () => {
await ollamaProvider.executeRequest({ ...baseRequest, tools: [makeTool('forced', 'force')] })
const payload = mockCreate.mock.calls[0][0]
expect(payload.tool_choice).toBe('auto')
expect(payload.tools.map((t: { function: { name: string } }) => t.function.name)).toEqual([
'forced',
])
})
it('surfaces an OpenAI APIError message through ProviderError', async () => {
mockCreate.mockRejectedValue(
new MockAPIError('model not found', {
status: 404,
code: 'not_found',
type: 'invalid_request_error',
})
)
await expect(ollamaProvider.executeRequest(baseRequest)).rejects.toThrow('model not found')
})
it('streams content and usage when no tools are used', async () => {
const result = (await ollamaProvider.executeRequest({
...baseRequest,
stream: true,
})) as unknown as StreamingResult
expect(result.stream).toBe('OLLAMA_STREAM')
expect(mockCreate.mock.calls[0][0].stream_options).toEqual({ include_usage: true })
streamOnComplete.current?.('streamed text', {
prompt_tokens: 4,
completion_tokens: 6,
total_tokens: 10,
})
expect(result.execution.output.content).toBe('streamed text')
expect(result.execution.output.tokens).toMatchObject({ input: 4, output: 6, total: 10 })
})
it('strips ```json fences from streamed content when responseFormat is set', async () => {
const result = (await ollamaProvider.executeRequest({
...baseRequest,
stream: true,
responseFormat: { name: 'r', schema: { type: 'object' }, strict: true },
})) as unknown as StreamingResult
streamOnComplete.current?.('```json\n{"a":1}\n```', {
prompt_tokens: 1,
completion_tokens: 2,
total_tokens: 3,
})
expect(result.execution.output.content).toBe('{"a":1}')
})
it('streams the final response after a tool loop, carrying tool calls', async () => {
mockCreate
.mockResolvedValueOnce(
completion({
toolCalls: [
{ id: 'call_1', type: 'function', function: { name: 'mytool', arguments: '{}' } },
],
})
)
.mockResolvedValueOnce(completion({ content: 'intermediate' }))
const result = (await ollamaProvider.executeRequest({
...baseRequest,
stream: true,
tools: [makeTool('mytool')],
})) as unknown as StreamingResult
expect(result.stream).toBe('OLLAMA_STREAM')
expect(mockExecuteTool).toHaveBeenCalledTimes(1)
const finalCall = mockCreate.mock.calls[2][0]
expect(finalCall.tools).toBeUndefined()
expect(finalCall.tool_choice).toBeUndefined()
streamOnComplete.current?.('final answer', {
prompt_tokens: 2,
completion_tokens: 4,
total_tokens: 6,
})
expect(result.execution.output.content).toBe('final answer')
expect(result.execution.output.toolCalls).toMatchObject({ count: 1 })
})
})