mirror of
https://github.com/claude-code-best/claude-code.git
synced 2026-06-18 06:15:51 +00:00
* feat: poor 模式降级 yolo 审阅模型 * feat: 为多模块添加 Langfuse tracing 支持 在 web search、agent creation、away summary、token estimation、 skill improvement 等模块中集成 Langfuse trace,并透传至 compact/apiQueryHook/execPromptHook 等调用链。 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: 让 auto mode 记录回主 trace * fix: reopen auto mode prompt when classifier is unavailable * fix: 修复 auto mode 情况下, llm 报错导致弹窗也不打开的问题 --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
189 lines
6.5 KiB
TypeScript
189 lines
6.5 KiB
TypeScript
/**
|
|
* API-based search adapter — delegates to Anthropic's server-side
|
|
* web_search_20250305 tool via a secondary API call.
|
|
*/
|
|
|
|
import type {
|
|
BetaContentBlock,
|
|
BetaWebSearchTool20250305,
|
|
} from '@anthropic-ai/sdk/resources/beta/messages/messages.mjs'
|
|
import { getFeatureValue_CACHED_MAY_BE_STALE } from 'src/services/analytics/growthbook.js'
|
|
import { queryModelWithStreaming } from 'src/services/api/claude.js'
|
|
import { createTrace, endTrace, isLangfuseEnabled } from 'src/services/langfuse/index.js'
|
|
import { getSessionId } from 'src/bootstrap/state.js'
|
|
import { getAPIProvider } from 'src/utils/model/providers.js'
|
|
import { createUserMessage } from 'src/utils/messages.js'
|
|
import { getMainLoopModel, getSmallFastModel } from 'src/utils/model/model.js'
|
|
import { jsonParse } from 'src/utils/slowOperations.js'
|
|
import { asSystemPrompt } from 'src/utils/systemPromptType.js'
|
|
import type { SearchResult, SearchOptions, WebSearchAdapter } from './types.js'
|
|
|
|
function makeToolSchema(input: { allowedDomains?: string[]; blockedDomains?: string[] }): BetaWebSearchTool20250305 {
|
|
return {
|
|
type: 'web_search_20250305',
|
|
name: 'web_search',
|
|
allowed_domains: input.allowedDomains,
|
|
blocked_domains: input.blockedDomains,
|
|
max_uses: 8,
|
|
}
|
|
}
|
|
|
|
export class ApiSearchAdapter implements WebSearchAdapter {
|
|
async search(
|
|
query: string,
|
|
options: SearchOptions,
|
|
): Promise<SearchResult[]> {
|
|
const { signal, onProgress, allowedDomains, blockedDomains } = options
|
|
|
|
const userMessage = createUserMessage({
|
|
content: 'Perform a web search for the query: ' + query,
|
|
})
|
|
const toolSchema = makeToolSchema({ allowedDomains, blockedDomains })
|
|
|
|
const useHaiku = getFeatureValue_CACHED_MAY_BE_STALE('tengu_plum_vx3', false)
|
|
const model = useHaiku ? getSmallFastModel() : getMainLoopModel()
|
|
const langfuseTrace = isLangfuseEnabled()
|
|
? createTrace({
|
|
sessionId: getSessionId(),
|
|
model,
|
|
provider: getAPIProvider(),
|
|
name: 'web-search-tool',
|
|
})
|
|
: null
|
|
|
|
const queryStream = queryModelWithStreaming({
|
|
messages: [userMessage],
|
|
systemPrompt: asSystemPrompt([
|
|
'You are an assistant for performing a web search tool use',
|
|
]),
|
|
thinkingConfig: useHaiku
|
|
? { type: 'disabled' as const }
|
|
: { type: 'enabled' as const, budgetTokens: 10000 },
|
|
tools: [],
|
|
signal: signal ?? new AbortController().signal,
|
|
options: {
|
|
getToolPermissionContext: async () => ({
|
|
mode: 'default' as const,
|
|
additionalWorkingDirectories: new Map(),
|
|
alwaysAllowRules: {},
|
|
alwaysDenyRules: {},
|
|
alwaysAskRules: {},
|
|
isBypassPermissionsModeAvailable: false,
|
|
}),
|
|
model,
|
|
toolChoice: useHaiku ? { type: 'tool' as const, name: 'web_search' } : undefined,
|
|
isNonInteractiveSession: false,
|
|
hasAppendSystemPrompt: false,
|
|
extraToolSchemas: [toolSchema],
|
|
querySource: 'web_search_tool' as const,
|
|
agents: [],
|
|
mcpTools: [],
|
|
agentId: undefined,
|
|
effortValue: undefined,
|
|
langfuseTrace,
|
|
},
|
|
})
|
|
|
|
const allContentBlocks: BetaContentBlock[] = []
|
|
let currentToolUseId: string | null = null
|
|
let currentToolUseJson = ''
|
|
const toolUseQueries = new Map<string, string>()
|
|
let progressCounter = 0
|
|
|
|
for await (const event of queryStream) {
|
|
if (event.type === 'assistant') {
|
|
const msg = event as { message: { content: BetaContentBlock[] } }
|
|
allContentBlocks.push(...msg.message.content)
|
|
continue
|
|
}
|
|
|
|
if (event.type === 'stream_event') {
|
|
const streamEvt = event as {
|
|
event?: {
|
|
type: string
|
|
content_block?: { type: string; id?: string; tool_use_id?: string; content?: unknown; [key: string]: unknown }
|
|
delta?: { type: string; partial_json?: string; [key: string]: unknown }
|
|
[key: string]: unknown
|
|
}
|
|
}
|
|
|
|
if (streamEvt.event?.type === 'content_block_start') {
|
|
const contentBlock = streamEvt.event.content_block
|
|
if (contentBlock && contentBlock.type === 'server_tool_use') {
|
|
currentToolUseId = contentBlock.id as string
|
|
currentToolUseJson = ''
|
|
continue
|
|
}
|
|
}
|
|
|
|
if (currentToolUseId && streamEvt.event?.type === 'content_block_delta') {
|
|
const delta = streamEvt.event.delta
|
|
if (delta?.type === 'input_json_delta' && delta.partial_json) {
|
|
currentToolUseJson += delta.partial_json
|
|
try {
|
|
const queryMatch = currentToolUseJson.match(
|
|
/"query"\s*:\s*"((?:[^"\\]|\\.)*)"/,
|
|
)
|
|
if (queryMatch && queryMatch[1]) {
|
|
const parsedQuery = jsonParse('"' + queryMatch[1] + '"')
|
|
if (
|
|
!toolUseQueries.has(currentToolUseId) ||
|
|
toolUseQueries.get(currentToolUseId) !== parsedQuery
|
|
) {
|
|
toolUseQueries.set(currentToolUseId, parsedQuery)
|
|
progressCounter++
|
|
onProgress?.({
|
|
type: 'query_update',
|
|
query: parsedQuery,
|
|
})
|
|
}
|
|
}
|
|
} catch {
|
|
// Ignore parsing errors for partial JSON
|
|
}
|
|
}
|
|
}
|
|
|
|
if (streamEvt.event?.type === 'content_block_start') {
|
|
const contentBlock = streamEvt.event.content_block
|
|
if (contentBlock && contentBlock.type === 'web_search_tool_result') {
|
|
const toolUseId = contentBlock.tool_use_id as string
|
|
const actualQuery = toolUseQueries.get(toolUseId) || query
|
|
const content = contentBlock.content
|
|
progressCounter++
|
|
onProgress?.({
|
|
type: 'search_results_received',
|
|
resultCount: Array.isArray(content) ? content.length : 0,
|
|
query: actualQuery,
|
|
})
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
endTrace(langfuseTrace)
|
|
|
|
// Extract SearchResult[] from content blocks
|
|
return extractSearchResults(allContentBlocks)
|
|
}
|
|
}
|
|
|
|
function extractSearchResults(
|
|
blocks: BetaContentBlock[],
|
|
): SearchResult[] {
|
|
const results: SearchResult[] = []
|
|
|
|
for (const block of blocks) {
|
|
if (block.type === 'web_search_tool_result' && Array.isArray(block.content)) {
|
|
for (const r of block.content as Array<{ title: string; url: string; page_age?: string; type?: string }>) {
|
|
results.push({
|
|
title: r.title,
|
|
url: r.url,
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
return results
|
|
}
|