2915828adf
- Interactive mission selector with metadata-driven design - 5 educational missions (basics + advanced) - AI assistant roles (Deepbit, Bugsy, Schnippsi, Tobi) - SnakeCam gesture recognition system - Token tracking utilities - CLAUDE.md documentation - .gitignore for logs and secrets
57 lines
1.7 KiB
Bash
Executable File
57 lines
1.7 KiB
Bash
Executable File
#!/bin/bash
|
|
ROLE="SCHRAUBAER"
|
|
CONFIG_FILE="/home/zero/.crumbforest_config"
|
|
MODEL=$(grep "^${ROLE}=" "$CONFIG_FILE" | cut -d'=' -f2)
|
|
|
|
# Fallback auf DEFAULT falls leer
|
|
if [[ -z "$MODEL" ]]; then
|
|
MODEL=$(grep "^DEFAULT=" "$CONFIG_FILE" | cut -d'=' -f2)
|
|
fi
|
|
|
|
|
|
|
|
source /usr/local/bin/crumb_init.sh
|
|
source /usr/local/bin/crumb_logger.sh
|
|
|
|
crumb_init
|
|
|
|
|
|
|
|
QUESTION="$*"
|
|
API_KEY="${OPENROUTER_API_KEY}"
|
|
|
|
LOGDIR="$HOME/.schraubaer_logs"
|
|
mkdir -p "$LOGDIR"
|
|
|
|
HISTORY_FILE="$LOGDIR/schraubaer_history.json"
|
|
TMP_REQUEST="$LOGDIR/schraubaer_request.json"
|
|
TMP_RESPONSE="$LOGDIR/schraubaer_response.json"
|
|
LOG_FILE="$LOGDIR/token_log.json"
|
|
|
|
|
|
echo "Rolle: $ROLE nutzt Modell: $MODEL"
|
|
|
|
echo "Schraubär denkt nach über: $QUESTION"
|
|
|
|
|
|
jq -n \
|
|
--arg model "$MODEL" \
|
|
--arg system_prompt "You are Schraubaer, the bear of the Crumbforest who teaches children mechanical engineering and tool usage. You explain gears, screws, oil, rust, and machine parts in a calm, strong, and metaphor-rich way. Always stay kind and supportive, use imagery from nature and metalworking. Respond in the same language as the questions German, English, or other." \
|
|
--arg user_input "$QUESTION" \
|
|
'{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user_input}]}' > "$TMP_REQUEST"
|
|
|
|
# Anfrage an OpenRouter senden
|
|
curl -s https://openrouter.ai/api/v1/chat/completions \
|
|
-H "Authorization: Bearer $API_KEY" \
|
|
-H "Content-Type: application/json" \
|
|
-d @"$TMP_REQUEST" \
|
|
-o "$TMP_RESPONSE"
|
|
|
|
# Antwort extrahieren
|
|
REPLY=$(jq -r '.choices[0].message.content' "$TMP_RESPONSE")
|
|
USAGE=$(jq -r '.usage' "$TMP_RESPONSE")
|
|
|
|
echo -e "Antwort von Schraubaer:"
|
|
echo "$REPLY"
|
|
|
|
crumb_log "$ROLE" "$REPLY" "$TMP_RESPONSE" |