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