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Fix remaining German comment

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This commit is contained in:
Remi
2025-09-20 09:46:34 +02:00
parent 103fdd6bbc
commit 440aef2f62
9 changed files with 63 additions and 63 deletions
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20
server/utils/openai.ts
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@@ -10,7 +10,7 @@ function ensureOpenAI(): OpenAI {
if (!openaiClient) {
const { openaiKey, openaiProject, llmModel } = getServerRuntimeConfig()
if (!openaiKey) {
throw new Error('OPENAI_API_KEY fehlt. Bitte den Schlüssel setzen, bevor KI-Funktionen genutzt werden.')
throw new Error('OPENAI_API_KEY is missing. Please set the key before using AI features.')
}
const clientOptions: ConstructorParameters<typeof OpenAI>[0] = { apiKey: openaiKey }
if (openaiProject) {
@@ -246,9 +246,9 @@ function extractTemplateVariables(text?: string): string[] {
return matches.map(match => match.slice(1, -1)) // Remove { }
}
// Optimierte aber ausreichende Eingabe für gute Entscheidungen
// Optimized yet sufficient input for reliable decisions
function optimizeInputForLLM(input: LLMDecisionInput) {
// Sammle alle verfügbaren Variablen aus dem Decision Tree
// Collect all available variables from the decision tree
const availableVariables = [
'callsign', 'dest', 'dep', 'runway', 'squawk', 'sid', 'transition',
'initial_altitude_ft', 'climb_altitude_ft', 'cruise_flight_level',
@@ -308,7 +308,7 @@ function optimizeInputForLLM(input: LLMDecisionInput) {
current_role: input.state.role,
state_summary: stateSummary,
candidates: candidates,
available_variables: availableVariables, // Alle verfügbaren Variablen
available_variables: availableVariables, // All available variables
candidate_variables: Array.from(candidateVars), // Variablen die Candidates verwenden
pilot_utterance: input.pilot_utterance,
decision_hints: {
@@ -318,7 +318,7 @@ function optimizeInputForLLM(input: LLMDecisionInput) {
has_interrupt_candidate: input.candidates.some(c => c.id.startsWith('INT_')),
readback_check_state: Boolean(readbackKeys.length)
},
// Nur aktueller Context ohne Werte (für Token-Sparen)
// Current context only without values (to save tokens)
context: {
callsign: input.variables.callsign,
current_unit: input.flags.current_unit,
@@ -459,7 +459,7 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
}
}
// Sofortige Erkennung ohne LLM für häufige Cases
// Instant detection without the LLM for common cases
if (pilotText.includes('radio check') || pilotText.includes('signal test') ||
(pilotText.includes('read') && (pilotText.includes('check') || pilotText.includes('you')))) {
return finalize({
@@ -479,17 +479,17 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
const optimizedInput = optimizeInputForLLM(input)
// Prüfe ob nächste States ATC-Responses brauchen
// Check whether the next states require ATC responses
const atcCandidates = input.candidates.filter(c =>
c.state.role === 'atc' || c.state.say_tpl || c.id.startsWith('INT_')
)
// Wenn keine ATC-States verfügbar, einfache Transition ohne Response
// If no ATC states are available, perform a simple transition without a response
if (atcCandidates.length === 0 && input.candidates.length > 0) {
return finalize({ next_state: input.candidates[0].id })
}
// Kompakter aber informativer Prompt - mit Variable-Info für intelligente Responses
// Compact yet informative prompt — includes variable info for intelligent responses
const system = [
'You are an ATC state router. Return strict JSON.',
'Keys: next_state, controller_say_tpl (optional), off_schema (optional), intent (optional).',
@@ -593,7 +593,7 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
})
}
// Pilot readback oder acknowledgment → keine ATC response nötig
// Pilot readback or acknowledgment → no ATC response required
if (pilotText.includes('wilco') || pilotText.includes('roger') ||
pilotText.includes('cleared') || pilotText.includes('copied')) {
fallbackInfo.selected = 'acknowledge'