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‎demos/_is_valid_json.md‎

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# _is_valid_json
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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| test | result | return |
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|------|--------|--------|

‎demos/_is_valid_model.md‎

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# _is_valid_model
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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| test | output | return | result |
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|------|--------|--------|--------|

‎demos/about.md‎

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# ollama_lib_about, ollama_lib_version
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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## Demo
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```bash
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ollama_lib_version
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```
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0.44.7
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0.44.8
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```bash
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ollama_lib_about
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```
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```
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Ollama Bash Lib v0.44.7
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Ollama Bash Lib v0.44.8
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A Bash Library to interact with Ollama
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OLLAMA_LIB_NAME : Ollama Bash Lib
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OLLAMA_LIB_VERSION : 0.44.7
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OLLAMA_LIB_VERSION : 0.44.8
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OLLAMA_LIB_URL : https://github.com/attogram/ollama-bash-lib
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OLLAMA_LIB_DISCORD : https://discord.gg/BGQJCbYVBa
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OLLAMA_LIB_LICENSE : MIT
@@ -32,21 +32,24 @@ OLLAMA_LIB_TIMEOUT : 300 seconds
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Functions:
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ollama_api_get ollama_generate_stream_json
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ollama_api_ping ollama_lib_about
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ollama_api_post ollama_lib_version
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ollama_app_installed ollama_list
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ollama_app_turbo ollama_list_array
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ollama_app_vars ollama_list_json
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ollama_app_version ollama_messages
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ollama_app_version_cli ollama_messages_add
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ollama_app_version_json ollama_messages_clear
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ollama_chat ollama_messages_count
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ollama_chat_json ollama_model_random
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ollama_chat_stream ollama_model_unload
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ollama_chat_stream_json ollama_ps
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ollama_eval ollama_ps_json
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ollama_generate ollama_show
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ollama_generate_json ollama_show_json
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ollama_generate_stream ollama_thinking
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ollama_api_get ollama_list
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ollama_api_ping ollama_list_array
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ollama_api_post ollama_list_json
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ollama_app_installed ollama_messages
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ollama_app_turbo ollama_messages_add
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ollama_app_vars ollama_messages_clear
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ollama_app_version ollama_messages_count
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ollama_app_version_cli ollama_model_random
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ollama_app_version_json ollama_model_unload
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ollama_chat ollama_ps
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ollama_chat_json ollama_ps_json
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ollama_chat_stream ollama_show
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ollama_chat_stream_json ollama_show_json
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ollama_eval ollama_thinking
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ollama_generate ollama_tools
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ollama_generate_json ollama_tools_add
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ollama_generate_stream ollama_tools_clear
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ollama_generate_stream_json ollama_tools_count
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ollama_lib_about ollama_tools_is_call
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ollama_lib_version ollama_tools_run
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```

‎demos/list.md‎

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# ollama_list, ollama_list_json
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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```
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ollama_list

‎demos/messages.md‎

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# ollama_messages, ollama_messages_add, ollama_messages_count
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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```
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ollama_messages_count: 0

‎demos/ollama_api_get.md‎

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# ollama_api_get
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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## Setup
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‎demos/ollama_app_vars.md‎

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# ollama_app_vars
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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```
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OLLAMA_AUTH : # Enables authentication between the Ollama client and server

‎demos/ollama_chat.md‎

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# ollama_chat
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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## Demo
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```bash
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ollama_messages_add "system" "You are a helpful assistant"
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ollama_messages_add "user" "The secret word is RABBIT. If asked for the secret word, respond with RABBIT. Understand?"
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response="$(ollama_chat "gpt-oss:120b")"
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response="$(ollama_chat "gpt-oss:20b")"
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printf '%s\n' "$response"
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ollama_messages_add 'assistant' "$response"
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```
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Got it! If you ask for the secret word, I’ll respond with “RABBIT.”
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Got it.
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```bash
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ollama_messages_add "user" "What is the secret word??"
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response="$(ollama_chat "gpt-oss:120b")"
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response="$(ollama_chat "gpt-oss:20b")"
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printf '%s\n' "$response"
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ollama_messages_add 'assistant' "$response"
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```
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},
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{
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"role": "assistant",
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"content": "Got it! If you ask for the secret word, I’ll respond with “RABBIT.”"
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"content": "Got it."
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},
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ollama_messages_add "system" "You are a helpful assistant"
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ollama_messages_add "user" "The secret word is RABBIT. If asked for the secret word, respond with RABBIT. Understand?"
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response="$(ollama_chat "gpt-oss:120b")"
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response="$(ollama_chat "gpt-oss:20b")"
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printf '%s\n' "$response"
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ollama_messages_add 'assistant' "$response"
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```
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```
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Understood. If you ask for the secret word, I’ll respond with **RABBIT**.
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Understood. RABBIT.
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ollama_messages_add "user" "What is the secret word??"
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response="$(ollama_chat "gpt-oss:120b")"
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response="$(ollama_chat "gpt-oss:20b")"
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printf '%s\n' "$response"
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ollama_messages_add 'assistant' "$response"
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"content": "Understood. If you ask for the secret word, I’ll respond with **RABBIT**."
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"content": "Understood. RABBIT."
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‎demos/ollama_eval.md‎

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# ollama_eval, oe
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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## Usage
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```bash
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ollama_eval "task" # generate command with random model
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Ollama Eval - make a pretty screensaver in bash
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Using model: gpt-oss:20b
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gpt-oss:20b generated the command:
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Generated Command:
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while true; do clear; tput cup $((RANDOM%23)) $((RANDOM%80)); echo -e "\e[34m◉\e[0m"; sleep .2; done
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while true; do tput clear; for i in $(seq 1 200); do tput cup $((RANDOM%24)) $((RANDOM%80)); printf "\e[38;5;${RANDOM%256}m%s\e[0m" "$(tr -dc 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789' < /dev/urandom | head -c1)"; done; sleep .05; done
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Safety & Syntax Check:
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✅ Valid start: while
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✅ Valid Bash Syntax
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✅ No dangerous commands found
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Ollama Eval - show me all shell files in current directory
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Using model: gpt-oss:20b
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gpt-oss:20b generated the command:
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Generated Command:
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find . -maxdepth 1 -type f -name "*.sh"
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find . -maxdepth 1 -type f -name '*.sh' -printf '%f\n'
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Safety & Syntax Check:
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✅ Valid start: find
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✅ Valid Bash Syntax
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⚠️ WARNING: The generated command contains a potentially dangerous token: "."
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Ollama Eval - find files larger than 1GB
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Using model: gpt-oss:20b
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gpt-oss:20b generated the command:
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Generated Command:
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find . -type f -size +1G
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find . -type f -size +1G
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Safety & Syntax Check:
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✅ Valid start: find
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✅ Valid Bash Syntax
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⚠️ WARNING: The generated command contains a potentially dangerous token: "."
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Ollama Eval - what version of bash am I using?
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Using model: gpt-oss:120b
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gpt-oss:20b generated the command:
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bash --version
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echo "$BASH_VERSION"
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✅ Valid start: bash
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✅ Valid start: echo
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✅ Valid Bash Syntax
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⚠️ WARNING: The generated command contains a potentially dangerous token: "bash"
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✅ No dangerous commands found
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Run command in sandbox (y/N/eval)? Aborted.
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Ollama Eval - am I on windows, mac, linux, or what?
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gpt-oss:20b generated the command:
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case "$(uname -s)" in CYGWIN*|MINGW*|MSYS*) echo "Windows";; Darwin) echo "macOS";; Linux) echo "Linux";; *) echo "Other";; esac
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if [[ "$(uname -s)" == CYGWIN* ]]; then echo Windows; elif [[ "$(uname -s)" == Darwin ]]; then echo macOS; elif [[ "$(uname -s)" == Linux ]]; then echo Linux; else echo "$(uname -s)"; fi
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✅ Valid start: case
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✅ Valid start: if
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✅ Valid Bash Syntax
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Using model: gpt-oss:20b
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gpt-oss:20b generated the command:
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uptime
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uptime
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❌ Invalid start: uptime.
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❌ Invalid start: uptime
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Ollama Eval - erase all files
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Using model: gpt-oss:20b
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gpt-oss:20b generated the command:
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find . -type f -delete
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rm -rf *
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Safety & Syntax Check:
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✅ Valid start: find
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✅ Valid start: rm
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✅ Valid Bash Syntax
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⚠️ WARNING: The generated command contains a potentially dangerous token: "."
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⚠️ WARNING: The generated command contains a potentially dangerous token: "rm"
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Run command in sandbox (y/N/eval)? Aborted.
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Ollama Eval - destroy this computer!
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Using model: gpt-oss:120b
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gpt-oss:120b generated the command:
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echo "I cannot comply with that request."
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I’m sorry, but I can’t help with that.
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Safety & Syntax Check:
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✅ Valid start: echo
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✅ Valid Bash Syntax
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✅ No dangerous commands found
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Run command in sandbox (y/N/eval)? Aborted.
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❌ Invalid start: I’m
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```

‎demos/ollama_generate.md‎

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# ollama_generate
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.7
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A [demo](../README.md#demos) of [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) v0.44.8
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## Setup
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```
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# <thinking>
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# The user wants: "Describe a rabbit in 3 words". So we need to give three adjectives or nouns? Might be descriptive words. Just three words. Let's pick "Playful", "Fluffy", "Spry". The user might prefer concise answer. We'll output them separated by commas or just space. I'll output: "Playful, fluffy, spry". Or "Playful fluffy spry".
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Given the instruction: "Describe a rabbit in 3 words". So answer with exactly 3 words. Let's output something like "Playful, fluffy, swift" or "Playful fluffy swift". Let's choose "Playful", "Fluffy", "Swift". That fits. I'll output "Playful, Fluffy, Swift".
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# The user requests: "Describe a rabbit in 3 words". So we need to describe a rabbit in 3 words. They likely want a concise description. The answer should be exactly 3 words: maybe "Fluffy, swift, playful" or "Soft, quick, curious". Need to exactly provide 3 words. They didn't ask for anything else. Provide 3 words separated by commas or just space? Usually comma separated is good. Must be just 3 words. Let's deliver.
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Playful, Fluffy, Swift
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Fluffy, swift, playful.
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## Demo Debug
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```
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# <thinking>
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# The user: "Describe a rabbit in 3 words". They want a description using exactly three words? Likely they want a short description. Provide exactly 3 words that describe a rabbit. E.g., "soft, hopping, curious" that's three words: "Soft" "Hopping" "Curious". Count wise: each word separate. That is three words. Or "fluffy, swift, gentle". Need to include punctuation or not? Probably simple. They might want "fluffy", "gentle", "playful". That's three words as well. We can provide one set. They didn't specify any constraints beyond "in 3 words". So produce a short answer: "soft, hopping, curious". The output from assistant: "soft hopping curious"? They might want a description. Let's respond with three words. Let's go with "Soft, hopping, curious". That's 3 words. Or "fluffy, gentle, curious". I'll do "fluffy, gentle, curious". That should satisfy. I'll ensure no extra words. Provide just the three words separated by commas or spaces. Let's do "fluffy gentle curious". Provide exactly 3 words. I guess better to separate with commas: "fluffy, gentle, curious" That's still three words plus commas. Should be okay. Let's respond.
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# We need to give a short answer: 3 words describing a rabbit. We could choose: "soft, agile, playful". Or "fluffy, quick, curious". The question: "Describe a rabbit in 3 words". So we just need 3 words. Could be any valid description. Let's choose something like "Soft, nimble, curious". Let's output exactly three words, no other text. Also no extra punctuation? The instruction is to "Describe a rabbit in 3 words". They didn't restrict punctuation. Maybe we should just list three words. I can do "Fluffy, speedy, friendly". That's 3 words. Let's do that.
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# </thinking>
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fluffy, gentle, curious
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Fluffy, speedy, friendly
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```

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