π File detail
utils/toolSearch.ts
π― Use case
This file lives under βutils/β, which covers cross-cutting helpers (shell, tempfiles, settings, messages, process input, β¦). On the API surface it exposes getAutoToolSearchCharThreshold, ToolSearchMode, getToolSearchMode, modelSupportsToolReference, and isToolSearchEnabledOptimistic (and more) β mainly functions, hooks, or classes. Dependencies touch lodash-es. It composes internal code from services, Tool, tools, types, and analyzeContext (relative imports). What the file header says: Tool Search utilities for dynamically discovering deferred tools. When enabled, deferred tools (MCP and shouldDefer tools) are sent with defer_loading: true and discovered via ToolSearchTool rather than being loaded upfront.
Generated from folder role, exports, dependency roots, and inline comments β not hand-reviewed for every path.
π§ Inline summary
Tool Search utilities for dynamically discovering deferred tools. When enabled, deferred tools (MCP and shouldDefer tools) are sent with defer_loading: true and discovered via ToolSearchTool rather than being loaded upfront.
π€ Exports (heuristic)
getAutoToolSearchCharThresholdToolSearchModegetToolSearchModemodelSupportsToolReferenceisToolSearchEnabledOptimisticisToolSearchToolAvailableisToolSearchEnabledisToolReferenceBlockextractDiscoveredToolNamesDeferredToolsDeltaDeferredToolsDeltaScanContextisDeferredToolsDeltaEnabledgetDeferredToolsDelta
π External import roots
Package roots from from "β¦" (relative paths omitted).
lodash-es
π₯οΈ Source preview
/**
* Tool Search utilities for dynamically discovering deferred tools.
*
* When enabled, deferred tools (MCP and shouldDefer tools) are sent with
* defer_loading: true and discovered via ToolSearchTool rather than being
* loaded upfront.
*/
import memoize from 'lodash-es/memoize.js'
import { getFeatureValue_CACHED_MAY_BE_STALE } from '../services/analytics/growthbook.js'
import {
type AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
logEvent,
} from '../services/analytics/index.js'
import type { Tool } from '../Tool.js'
import {
type ToolPermissionContext,
type Tools,
toolMatchesName,
} from '../Tool.js'
import type { AgentDefinition } from '../tools/AgentTool/loadAgentsDir.js'
import {
formatDeferredToolLine,
isDeferredTool,
TOOL_SEARCH_TOOL_NAME,
} from '../tools/ToolSearchTool/prompt.js'
import type { Message } from '../types/message.js'
import {
countToolDefinitionTokens,
TOOL_TOKEN_COUNT_OVERHEAD,
} from './analyzeContext.js'
import { count } from './array.js'
import { getMergedBetas } from './betas.js'
import { getContextWindowForModel } from './context.js'
import { logForDebugging } from './debug.js'
import { isEnvDefinedFalsy, isEnvTruthy } from './envUtils.js'
import {
getAPIProvider,
isFirstPartyAnthropicBaseUrl,
} from './model/providers.js'
import { jsonStringify } from './slowOperations.js'
import { zodToJsonSchema } from './zodToJsonSchema.js'
/**
* Default percentage of context window at which to auto-enable tool search.
* When MCP tool descriptions exceed this percentage (in tokens), tool search is enabled.
* Can be overridden via ENABLE_TOOL_SEARCH=auto:N where N is 0-100.
*/
const DEFAULT_AUTO_TOOL_SEARCH_PERCENTAGE = 10 // 10%
/**
* Parse auto:N syntax from ENABLE_TOOL_SEARCH env var.
* Returns the percentage clamped to 0-100, or null if not auto:N format or not a number.
*/
function parseAutoPercentage(value: string): number | null {
if (!value.startsWith('auto:')) return null
const percentStr = value.slice(5)
const percent = parseInt(percentStr, 10)
if (isNaN(percent)) {
logForDebugging(
`Invalid ENABLE_TOOL_SEARCH value "${value}": expected auto:N where N is a number.`,
)
return null
}
// Clamp to valid range
return Math.max(0, Math.min(100, percent))
}
/**
* Check if ENABLE_TOOL_SEARCH is set to auto mode (auto or auto:N).
*/
function isAutoToolSearchMode(value: string | undefined): boolean {
if (!value) return false
return value === 'auto' || value.startsWith('auto:')
}
/**
* Get the auto-enable percentage from env var or default.
*/
function getAutoToolSearchPercentage(): number {
const value = process.env.ENABLE_TOOL_SEARCH
if (!value) return DEFAULT_AUTO_TOOL_SEARCH_PERCENTAGE
if (value === 'auto') return DEFAULT_AUTO_TOOL_SEARCH_PERCENTAGE
const parsed = parseAutoPercentage(value)
if (parsed !== null) return parsed
return DEFAULT_AUTO_TOOL_SEARCH_PERCENTAGE
}
/**
* Approximate chars per token for MCP tool definitions (name + description + input schema).
* Used as fallback when the token counting API is unavailable.
*/
const CHARS_PER_TOKEN = 2.5
/**
* Get the token threshold for auto-enabling tool search for a given model.
*/
function getAutoToolSearchTokenThreshold(model: string): number {
const betas = getMergedBetas(model)
const contextWindow = getContextWindowForModel(model, betas)
const percentage = getAutoToolSearchPercentage() / 100
return Math.floor(contextWindow * percentage)
}
/**
* Get the character threshold for auto-enabling tool search for a given model.
* Used as fallback when the token counting API is unavailable.
*/
export function getAutoToolSearchCharThreshold(model: string): number {
return Math.floor(getAutoToolSearchTokenThreshold(model) * CHARS_PER_TOKEN)
}
/**
* Get the total token count for all deferred tools using the token counting API.
* Memoized by deferred tool names β cache is invalidated when MCP servers connect/disconnect.
* Returns null if the API is unavailable (caller should fall back to char heuristic).
*/
const getDeferredToolTokenCount = memoize(
async (
tools: Tools,
getToolPermissionContext: () => Promise<ToolPermissionContext>,
agents: AgentDefinition[],
model: string,
): Promise<number | null> => {
const deferredTools = tools.filter(t => isDeferredTool(t))
if (deferredTools.length === 0) return 0
try {
const total = await countToolDefinitionTokens(
deferredTools,
getToolPermissionContext,
{ activeAgents: agents, allAgents: agents },
model,
)
if (total === 0) return null // API unavailable
return Math.max(0, total - TOOL_TOKEN_COUNT_OVERHEAD)
} catch {
return null // Fall back to char heuristic
}
},
(tools: Tools) =>
tools
.filter(t => isDeferredTool(t))
.map(t => t.name)
.join(','),
)
/**
* Tool search mode. Determines how deferrable tools (MCP + shouldDefer) are
* surfaced:
* - 'tst': Tool Search Tool β deferred tools discovered via ToolSearchTool (always enabled)
* - 'tst-auto': auto β tools deferred only when they exceed threshold
* - 'standard': tool search disabled β all tools exposed inline
*/
export type ToolSearchMode = 'tst' | 'tst-auto' | 'standard'
/**
* Determines the tool search mode from ENABLE_TOOL_SEARCH.
*
* ENABLE_TOOL_SEARCH Mode
* auto / auto:1-99 tst-auto
* true / auto:0 tst
* false / auto:100 standard
* (unset) tst (default: always defer MCP and shouldDefer tools)
*/
export function getToolSearchMode(): ToolSearchMode {
// CLAUDE_CODE_DISABLE_EXPERIMENTAL_BETAS is a kill switch for beta API
// features. Tool search emits defer_loading on tool definitions and
// tool_reference content blocks β both require the API to accept a beta
// header. When the kill switch is set, force 'standard' so no beta shapes
// reach the wire, even if ENABLE_TOOL_SEARCH is also set. This is the
// explicit escape hatch for proxy gateways that the heuristic in
// isToolSearchEnabledOptimistic doesn't cover.
// github.com/anthropics/claude-code/issues/20031
if (isEnvTruthy(process.env.CLAUDE_CODE_DISABLE_EXPERIMENTAL_BETAS)) {
return 'standard'
}
const value = process.env.ENABLE_TOOL_SEARCH
// Handle auto:N syntax - check edge cases first
const autoPercent = value ? parseAutoPercentage(value) : null
if (autoPercent === 0) return 'tst' // auto:0 = always enabled
if (autoPercent === 100) return 'standard'
if (isAutoToolSearchMode(value)) {
return 'tst-auto' // auto or auto:1-99
}
if (isEnvTruthy(value)) return 'tst'
if (isEnvDefinedFalsy(process.env.ENABLE_TOOL_SEARCH)) return 'standard'
return 'tst' // default: always defer MCP and shouldDefer tools
}
/**
* Default patterns for models that do NOT support tool_reference.
* New models are assumed to support tool_reference unless explicitly listed here.
*/
const DEFAULT_UNSUPPORTED_MODEL_PATTERNS = ['haiku']
/**
* Get the list of model patterns that do NOT support tool_reference.
* Can be configured via GrowthBook for live updates without code changes.
*/
function getUnsupportedToolReferencePatterns(): string[] {
try {
// Try to get from GrowthBook for live configuration
const patterns = getFeatureValue_CACHED_MAY_BE_STALE<string[] | null>(
'tengu_tool_search_unsupported_models',
null,
)
if (patterns && Array.isArray(patterns) && patterns.length > 0) {
return patterns
}
} catch {
// GrowthBook not ready, use defaults
}
return DEFAULT_UNSUPPORTED_MODEL_PATTERNS
}
/**
* Check if a model supports tool_reference blocks (required for tool search).
*
* This uses a negative test: models are assumed to support tool_reference
* UNLESS they match a pattern in the unsupported list. This ensures new
* models work by default without code changes.
*
* Currently, Haiku models do NOT support tool_reference. This can be
* updated via GrowthBook feature 'tengu_tool_search_unsupported_models'.
*
* @param model The model name to check
* @returns true if the model supports tool_reference, false otherwise
*/
export function modelSupportsToolReference(model: string): boolean {
const normalizedModel = model.toLowerCase()
const unsupportedPatterns = getUnsupportedToolReferencePatterns()
// Check if model matches any unsupported pattern
for (const pattern of unsupportedPatterns) {
if (normalizedModel.includes(pattern.toLowerCase())) {
return false
}
}
// New models are assumed to support tool_reference
return true
}
/**
* Check if tool search *might* be enabled (optimistic check).
*
* Returns true if tool search could potentially be enabled, without checking
* dynamic factors like model support or threshold. Use this for:
* - Including ToolSearchTool in base tools (so it's available if needed)
* - Preserving tool_reference fields in messages (can be stripped later)
* - Checking if ToolSearchTool should report itself as enabled
*
* Returns false only when tool search is definitively disabled (standard mode).
*
* For the definitive check that includes model support and threshold,
* use isToolSearchEnabled().
*/
let loggedOptimistic = false
export function isToolSearchEnabledOptimistic(): boolean {
const mode = getToolSearchMode()
if (mode === 'standard') {
if (!loggedOptimistic) {
loggedOptimistic = true
logForDebugging(
`[ToolSearch:optimistic] mode=${mode}, ENABLE_TOOL_SEARCH=${process.env.ENABLE_TOOL_SEARCH}, result=false`,
)
}
return false
}
// tool_reference is a beta content type that third-party API gateways
// (ANTHROPIC_BASE_URL proxies) typically don't support. When the provider
// is 'firstParty' but the base URL points elsewhere, the proxy will reject
// tool_reference blocks with a 400. Vertex/Bedrock/Foundry are unaffected β
// they have their own endpoints and beta headers.
// https://github.com/anthropics/claude-code/issues/30912
//
// HOWEVER: some proxies DO support tool_reference (LiteLLM passthrough,
// Cloudflare AI Gateway, corp gateways that forward beta headers). The
// blanket disable breaks defer_loading for those users β all MCP tools
// loaded into main context instead of on-demand (gh-31936 / CC-457,
// likely the real cause of CC-330 "v2.1.70 defer_loading regression").
// This gate only applies when ENABLE_TOOL_SEARCH is unset/empty (default
// behavior). Setting any non-empty value β 'true', 'auto', 'auto:N' β
// means the user is explicitly configuring tool search and asserts their
// setup supports it. The falsy check (rather than === undefined) aligns
// with getToolSearchMode(), which also treats "" as unset.
if (
!process.env.ENABLE_TOOL_SEARCH &&
getAPIProvider() === 'firstParty' &&
!isFirstPartyAnthropicBaseUrl()
) {
if (!loggedOptimistic) {
loggedOptimistic = true
logForDebugging(
`[ToolSearch:optimistic] disabled: ANTHROPIC_BASE_URL=${process.env.ANTHROPIC_BASE_URL} is not a first-party Anthropic host. Set ENABLE_TOOL_SEARCH=true (or auto / auto:N) if your proxy forwards tool_reference blocks.`,
)
}
return false
}
if (!loggedOptimistic) {
loggedOptimistic = true
logForDebugging(
`[ToolSearch:optimistic] mode=${mode}, ENABLE_TOOL_SEARCH=${process.env.ENABLE_TOOL_SEARCH}, result=true`,
)
}
return true
}
/**
* Check if ToolSearchTool is available in the provided tools list.
* If ToolSearchTool is not available (e.g., disallowed via disallowedTools),
* tool search cannot function and should be disabled.
*
* @param tools Array of tools with a 'name' property
* @returns true if ToolSearchTool is in the tools list, false otherwise
*/
export function isToolSearchToolAvailable(
tools: readonly { name: string }[],
): boolean {
return tools.some(tool => toolMatchesName(tool, TOOL_SEARCH_TOOL_NAME))
}
/**
* Calculate total deferred tool description size in characters.
* Includes name, description text, and input schema to match what's actually sent to the API.
*/
async function calculateDeferredToolDescriptionChars(
tools: Tools,
getToolPermissionContext: () => Promise<ToolPermissionContext>,
agents: AgentDefinition[],
): Promise<number> {
const deferredTools = tools.filter(t => isDeferredTool(t))
if (deferredTools.length === 0) return 0
const sizes = await Promise.all(
deferredTools.map(async tool => {
const description = await tool.prompt({
getToolPermissionContext,
tools,
agents,
})
const inputSchema = tool.inputJSONSchema
? jsonStringify(tool.inputJSONSchema)
: tool.inputSchema
? jsonStringify(zodToJsonSchema(tool.inputSchema))
: ''
return tool.name.length + description.length + inputSchema.length
}),
)
return sizes.reduce((total, size) => total + size, 0)
}
/**
* Check if tool search (MCP tool deferral with tool_reference) is enabled for a specific request.
*
* This is the definitive check that includes:
* - MCP mode (Tst, TstAuto, McpCli, Standard)
* - Model compatibility (haiku doesn't support tool_reference)
* - ToolSearchTool availability (must be in tools list)
* - Threshold check for TstAuto mode
*
* Use this when making actual API calls where all context is available.
*
* @param model The model to check for tool_reference support
* @param tools Array of available tools (including MCP tools)
* @param getToolPermissionContext Function to get tool permission context
* @param agents Array of agent definitions
* @param source Optional identifier for the caller (for debugging)
* @returns true if tool search should be enabled for this request
*/
export async function isToolSearchEnabled(
model: string,
tools: Tools,
getToolPermissionContext: () => Promise<ToolPermissionContext>,
agents: AgentDefinition[],
source?: string,
): Promise<boolean> {
const mcpToolCount = count(tools, t => t.isMcp)
// Helper to log the mode decision event
function logModeDecision(
enabled: boolean,
mode: ToolSearchMode,
reason: string,
extraProps?: Record<string, number>,
): void {
logEvent('tengu_tool_search_mode_decision', {
enabled,
mode: mode as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
reason:
reason as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
// Log the actual model being checked, not the session's main model.
// This is important for debugging subagent tool search decisions where
// the subagent model (e.g., haiku) differs from the session model (e.g., opus).
checkedModel:
model as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
mcpToolCount,
userType: (process.env.USER_TYPE ??
'external') as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
...extraProps,
})
}
// Check if model supports tool_reference
if (!modelSupportsToolReference(model)) {
logForDebugging(
`Tool search disabled for model '${model}': model does not support tool_reference blocks. ` +
`This feature is only available on Claude Sonnet 4+, Opus 4+, and newer models.`,
)
logModeDecision(false, 'standard', 'model_unsupported')
return false
}
// Check if ToolSearchTool is available (respects disallowedTools)
if (!isToolSearchToolAvailable(tools)) {
logForDebugging(
`Tool search disabled: ToolSearchTool is not available (may have been disallowed via disallowedTools).`,
)
logModeDecision(false, 'standard', 'mcp_search_unavailable')
return false
}
const mode = getToolSearchMode()
switch (mode) {
case 'tst':
logModeDecision(true, mode, 'tst_enabled')
return true
case 'tst-auto': {
const { enabled, debugDescription, metrics } = await checkAutoThreshold(
tools,
getToolPermissionContext,
agents,
model,
)
if (enabled) {
logForDebugging(
`Auto tool search enabled: ${debugDescription}` +
(source ? ` [source: ${source}]` : ''),
)
logModeDecision(true, mode, 'auto_above_threshold', metrics)
return true
}
logForDebugging(
`Auto tool search disabled: ${debugDescription}` +
(source ? ` [source: ${source}]` : ''),
)
logModeDecision(false, mode, 'auto_below_threshold', metrics)
return false
}
case 'standard':
logModeDecision(false, mode, 'standard_mode')
return false
}
}
/**
* Check if an object is a tool_reference block.
* tool_reference is a beta feature not in the SDK types, so we need runtime checks.
*/
export function isToolReferenceBlock(obj: unknown): boolean {
return (
typeof obj === 'object' &&
obj !== null &&
'type' in obj &&
(obj as { type: unknown }).type === 'tool_reference'
)
}
/**
* Type guard for tool_reference block with tool_name.
*/
function isToolReferenceWithName(
obj: unknown,
): obj is { type: 'tool_reference'; tool_name: string } {
return (
isToolReferenceBlock(obj) &&
'tool_name' in (obj as object) &&
typeof (obj as { tool_name: unknown }).tool_name === 'string'
)
}
/**
* Type representing a tool_result block with array content.
* Used for extracting tool_reference blocks from ToolSearchTool results.
*/
type ToolResultBlock = {
type: 'tool_result'
content: unknown[]
}
/**
* Type guard for tool_result blocks with array content.
*/
function isToolResultBlockWithContent(obj: unknown): obj is ToolResultBlock {
return (
typeof obj === 'object' &&
obj !== null &&
'type' in obj &&
(obj as { type: unknown }).type === 'tool_result' &&
'content' in obj &&
Array.isArray((obj as { content: unknown }).content)
)
}
/**
* Extract tool names from tool_reference blocks in message history.
*
* When dynamic tool loading is enabled, MCP tools are not predeclared in the
* tools array. Instead, they are discovered via ToolSearchTool which returns
* tool_reference blocks. This function scans the message history to find all
* tool names that have been referenced, so we can include only those tools
* in subsequent API requests.
*
* This approach:
* - Eliminates the need to predeclare all MCP tools upfront
* - Removes limits on total quantity of MCP tools
*
* Compaction replaces tool_reference-bearing messages with a summary, so it
* snapshots the discovered set onto compactMetadata.preCompactDiscoveredTools
* on the boundary marker; this scan reads it back. Snip instead protects the
* tool_reference-carrying messages from removal.
*
* @param messages Array of messages that may contain tool_result blocks with tool_reference content
* @returns Set of tool names that have been discovered via tool_reference blocks
*/
export function extractDiscoveredToolNames(messages: Message[]): Set<string> {
const discoveredTools = new Set<string>()
let carriedFromBoundary = 0
for (const msg of messages) {
// Compact boundary carries the pre-compact discovered set. Inline type
// check rather than isCompactBoundaryMessage β utils/messages.ts imports
// from this file, so importing back would be circular.
if (msg.type === 'system' && msg.subtype === 'compact_boundary') {
const carried = msg.compactMetadata?.preCompactDiscoveredTools
if (carried) {
for (const name of carried) discoveredTools.add(name)
carriedFromBoundary += carried.length
}
continue
}
// Only user messages contain tool_result blocks (responses to tool_use)
if (msg.type !== 'user') continue
const content = msg.message?.content
if (!Array.isArray(content)) continue
for (const block of content) {
// tool_reference blocks only appear inside tool_result content, specifically
// in results from ToolSearchTool. The API expands these references into full
// tool definitions in the model's context.
if (isToolResultBlockWithContent(block)) {
for (const item of block.content) {
if (isToolReferenceWithName(item)) {
discoveredTools.add(item.tool_name)
}
}
}
}
}
if (discoveredTools.size > 0) {
logForDebugging(
`Dynamic tool loading: found ${discoveredTools.size} discovered tools in message history` +
(carriedFromBoundary > 0
? ` (${carriedFromBoundary} carried from compact boundary)`
: ''),
)
}
return discoveredTools
}
export type DeferredToolsDelta = {
addedNames: string[]
/** Rendered lines for addedNames; the scan reconstructs from names. */
addedLines: string[]
removedNames: string[]
}
/**
* Call-site discriminator for the tengu_deferred_tools_pool_change event.
* The scan runs from several sites with different expected-prior semantics
* (inc-4747):
* - attachments_main: main-thread getAttachments β prior=0 is a BUG on fire-2+
* - attachments_subagent: subagent getAttachments β prior=0 is EXPECTED
* (fresh conversation, initialMessages has no DTD)
* - compact_full: compact.ts passes [] β prior=0 is EXPECTED
* - compact_partial: compact.ts passes messagesToKeep β depends on what survived
* - reactive_compact: reactiveCompact.ts passes preservedMessages β same
* Without this the 96%-prior=0 stat is dominated by EXPECTED buckets and
* the real main-thread cross-turn bug (if any) is invisible in BQ.
*/
export type DeferredToolsDeltaScanContext = {
callSite:
| 'attachments_main'
| 'attachments_subagent'
| 'compact_full'
| 'compact_partial'
| 'reactive_compact'
querySource?: string
}
/**
* True β announce deferred tools via persisted delta attachments.
* False β claude.ts keeps its per-call <available-deferred-tools>
* header prepend (the attachment does not fire).
*/
export function isDeferredToolsDeltaEnabled(): boolean {
return (
process.env.USER_TYPE === 'ant' ||
getFeatureValue_CACHED_MAY_BE_STALE('tengu_glacier_2xr', false)
)
}
/**
* Diff the current deferred-tool pool against what's already been
* announced in this conversation (reconstructed by scanning for prior
* deferred_tools_delta attachments). Returns null if nothing changed.
*
* A name that was announced but has since stopped being deferred β yet
* is still in the base pool β is NOT reported as removed. It's now
* loaded directly, so telling the model "no longer available" would be
* wrong.
*/
export function getDeferredToolsDelta(
tools: Tools,
messages: Message[],
scanContext?: DeferredToolsDeltaScanContext,
): DeferredToolsDelta | null {
const announced = new Set<string>()
let attachmentCount = 0
let dtdCount = 0
const attachmentTypesSeen = new Set<string>()
for (const msg of messages) {
if (msg.type !== 'attachment') continue
attachmentCount++
attachmentTypesSeen.add(msg.attachment.type)
if (msg.attachment.type !== 'deferred_tools_delta') continue
dtdCount++
for (const n of msg.attachment.addedNames) announced.add(n)
for (const n of msg.attachment.removedNames) announced.delete(n)
}
const deferred: Tool[] = tools.filter(isDeferredTool)
const deferredNames = new Set(deferred.map(t => t.name))
const poolNames = new Set(tools.map(t => t.name))
const added = deferred.filter(t => !announced.has(t.name))
const removed: string[] = []
for (const n of announced) {
if (deferredNames.has(n)) continue
if (!poolNames.has(n)) removed.push(n)
// else: undeferred β silent
}
if (added.length === 0 && removed.length === 0) return null
// Diagnostic for the inc-4747 scan-finds-nothing bug. Round-1 fields
// (messagesLength/attachmentCount/dtdCount from #23167) showed 45.6% of
// events have attachments-but-no-DTD, but those numbers are confounded:
// subagent first-fires and compact-path scans have EXPECTED prior=0 and
// dominate the stat. callSite/querySource/attachmentTypesSeen split the
// buckets so the real main-thread cross-turn failure is isolable in BQ.
logEvent('tengu_deferred_tools_pool_change', {
addedCount: added.length,
removedCount: removed.length,
priorAnnouncedCount: announced.size,
messagesLength: messages.length,
attachmentCount,
dtdCount,
callSite: (scanContext?.callSite ??
'unknown') as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
querySource: (scanContext?.querySource ??
'unknown') as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
attachmentTypesSeen: [...attachmentTypesSeen]
.sort()
.join(',') as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
})
return {
addedNames: added.map(t => t.name).sort(),
addedLines: added.map(formatDeferredToolLine).sort(),
removedNames: removed.sort(),
}
}
/**
* Check whether deferred tools exceed the auto-threshold for enabling TST.
* Tries exact token count first; falls back to character-based heuristic.
*/
async function checkAutoThreshold(
tools: Tools,
getToolPermissionContext: () => Promise<ToolPermissionContext>,
agents: AgentDefinition[],
model: string,
): Promise<{
enabled: boolean
debugDescription: string
metrics: Record<string, number>
}> {
// Try exact token count first (cached, one API call per toolset change)
const deferredToolTokens = await getDeferredToolTokenCount(
tools,
getToolPermissionContext,
agents,
model,
)
if (deferredToolTokens !== null) {
const threshold = getAutoToolSearchTokenThreshold(model)
return {
enabled: deferredToolTokens >= threshold,
debugDescription:
`${deferredToolTokens} tokens (threshold: ${threshold}, ` +
`${getAutoToolSearchPercentage()}% of context)`,
metrics: { deferredToolTokens, threshold },
}
}
// Fallback: character-based heuristic when token API is unavailable
const deferredToolDescriptionChars =
await calculateDeferredToolDescriptionChars(
tools,
getToolPermissionContext,
agents,
)
const charThreshold = getAutoToolSearchCharThreshold(model)
return {
enabled: deferredToolDescriptionChars >= charThreshold,
debugDescription:
`${deferredToolDescriptionChars} chars (threshold: ${charThreshold}, ` +
`${getAutoToolSearchPercentage()}% of context) (char fallback)`,
metrics: { deferredToolDescriptionChars, charThreshold },
}
}