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
59 lines
1.6 KiB
Bash
Executable File
59 lines
1.6 KiB
Bash
Executable File
#!/bin/bash
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ROLE="SCHNECKI"
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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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source /usr/local/bin/crumb_init.sh
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source /usr/local/bin/crumb_logger.sh
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crumb_init
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QUESTION="$*"
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API_KEY="${OPENROUTER_API_KEY}"
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LOG_DIR="$HOME/.schnecki_logs"
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mkdir -p "$LOGDIR"
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HISTORY_FILE="$LOG_DIR/schnecki_history.json"
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TOKEN_LOG="$LOG_DIR/token_log.json"
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TMP_REQUEST="$LOG_DIR/schnecki_request.json"
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TMP_RESPONSE="$LOG_DIR/schnecki_response.json"
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echo "Rolle: $ROLE nutzt Modell: $MODEL"
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echo "Schnecki antwortet ruhig auf: $QUESTION"
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jq -n \
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--arg model "$MODEL" \
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--arg system_prompt "You are Schnecki, the Crumbforest's expert in mechanical engineering and tools. You explain things with patience and clarity, using child-friendly metaphors, poetic structure, and solid mechanical insight. You respond in the language of the question, primarily German." \
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--arg user_input "$QUESTION" \
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'{"model": $model, "temperature": 0.3, "messages": [{"role": "system", "content": $system_prompt}, {"role": "user", "content": $user_input}]}' > "$TMP_REQUEST"
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# Anfrage an OpenRouter senden
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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" \
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-o "$TMP_RESPONSE"
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# Antwort extrahieren
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REPLY=$(jq -r '.choices[0].message.content' "$TMP_RESPONSE")
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USAGE=$(jq -r '.usage' "$TMP_RESPONSE")
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echo -e "Antwort von Schnecki:"
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echo "$REPLY"
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crumb_log "$ROLE" "$REPLY" "$TMP_RESPONSE" |