- 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
82 lines
2.7 KiB
Bash
Executable File
82 lines
2.7 KiB
Bash
Executable File
#!/bin/bash
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ROLE="SCHRAUBAER"
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CONFIG_FILE="/home/zero/.crumbforest_config"
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MODEL=$(grep "^${ROLE}=" "$CONFIG_FILE" | cut -d'=' -f2)
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# Fallback auf DEFAULT falls leer
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if [[ -z "$MODEL" ]]; then
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MODEL=$(grep "^DEFAULT=" "$CONFIG_FILE" | cut -d'=' -f2)
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fi
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QUESTION="$*"
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#MODEL="openai/gpt-3.5-turbo"
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API_KEY="${OPENROUTER_API_KEY}"
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LOGDIR="$HOME/.schraubaer_logs"
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mkdir -p "$LOGDIR"
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HISTORY_FILE="$LOGDIR/schraubaer_history.json"
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TMP_REQUEST="$LOGDIR/schraubaer_request.json"
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TMP_RESPONSE="$LOGDIR/schraubaer_response.json"
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LOG_FILE="$LOGDIR/token_log.json"
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[ ! -f "$HISTORY_FILE" ] && echo "[]" > "$HISTORY_FILE"
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[ ! -f "$LOG_FILE" ] && echo "[]" > "$LOG_FILE"
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echo "<EFBFBD> Rolle: $ROLE nutzt Modell: $MODEL"
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echo "^=^t<> Schraubär denkt nach über: $QUESTION"
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if [ -z "$API_KEY" ]; then
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echo "❗ No API key set. Use: export OPENROUTER_API_KEY=..."
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exit 1
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fi
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jq -n \
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--arg model "$MODEL" \
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--arg system_prompt "You are Schraubaer, the bear of the Crumbforest who teaches children mechanical engineering and tool usage. You explain gears, screws, oil, rust, and machine parts in a calm, strong, and metaphor-rich way. Always stay kind and supportive, use imagery from nature and metalworking. Respond in the same language as the questions German, English, or other." \
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--arg user_input "$QUESTION" \
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'{"model": $model, "temperature": 0.5, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user_input}]}' > "$TMP_REQUEST"
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curl -s https://openrouter.ai/api/v1/chat/completions \
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-H "Authorization: Bearer $API_KEY" \
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-H "Content-Type: application/json" \
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-d @"$TMP_REQUEST" > "$TMP_RESPONSE"
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RESPONSE_TEXT=$(jq -r '.choices[0].message.content // empty' "$TMP_RESPONSE")
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if [[ -z "$RESPONSE_TEXT" ]]; then
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echo "🚫 No response from model."
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exit 1
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else
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echo -e "$RESPONSE_TEXT"
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jq -n --arg role "assistant" --arg content "$RESPONSE_TEXT" \
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'{"role": $role, "content": $content}' > "$LOGDIR/new_entry.json"
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jq -s '.[0] + [.[1]]' "$HISTORY_FILE" "$LOGDIR/new_entry.json" > "$LOGDIR/new_history.json" && \
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cp "$LOGDIR/new_history.json" "$HISTORY_FILE" && rm "$LOGDIR/new_history.json"
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fi
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#if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
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# TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
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# jq -n \
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# --arg zeit "$TIMESTAMP" \
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# --arg rolle "schraubaer" \
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# --arg usage "$(jq -c '.usage' "$TMP_RESPONSE")" \
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# '{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
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#fi
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if jq -e '.usage' "$TMP_RESPONSE" > /dev/null; then
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TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
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USAGE_JSON=$(jq '.usage' "$TMP_RESPONSE")
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jq -n \
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--arg zeit "$TIMESTAMP" \
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--arg rolle "schraubaer" \
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--argjson usage "$USAGE_JSON" \
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'{zeit: $zeit, rolle: $rolle, usage: $usage}' >> "$LOG_FILE"
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fi
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