bsy-clippy 0.3.3

Terminal client for OpenAI chat completions

bsy-clippy

bsy-clippy is a lightweight Python client for the OpenAI Chat Completions API (and compatible deployments).

It supports both batch (stdin) mode for one-shot prompts and interactive mode for chatting directly in the terminal.
You can also load system prompts from a file to guide the LLM’s behavior.

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Features

• Speaks to the OpenAI Chat Completions API or any OpenAI-compatible deployment.
• Loads credentials from .env (OPENAI_API_KEY) via python-dotenv when the selected profile requires them.
• Reads defaults (profile, provider, base URL, model) from bsy-clippy.yaml and falls back to a packaged sample if none is found.
• Switch profiles by editing api.profile or passing --profile (e.g. --profile openai) on the CLI.
• Defaults to:
  • Provider: ollama
  • Base URL: http://172.20.0.100:11434
  • Model: qwen3:1.7b
  • Mode: stream (see --mode to switch)
  • Bundled system prompt file that can be overridden with --system-file
• Configurable parameters:
  • --config / --profile → select a profile file and profile name
  • -b / --base-url, -i / --ip, -p / --port → override connection details per run
  • -M / --model, -t / --temperature, -m / --mode → tuning controls
  • -s / --system-file, -u / --user-prompt → additional prompting knobs
  • -r / --memory-lines, -c / --chat-after-stdin → conversation persistence options
• Two modes of operation:
  • Batch mode → waits until the answer is complete, then prints only the final result.
  • Stream mode (default) → shows response in real-time, tokens appear as they are generated.
• Colored terminal output:
  • Yellow = streaming tokens (the model’s “thinking” in progress).
  • Default terminal color = final assembled answer.

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Installation

pipx (recommended)

pipx install .

After updating the source, reinstall with pipx reinstall bsy-clippy.

pip / virtual environments

pip install .

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Configuration

API credentials (.env)

Create a .env file next to where you run bsy-clippy and add your key:

OPENAI_API_KEY=sk-...

The CLI loads this automatically via python-dotenv; environment variables from your shell work too. Only the openai profile requires this token — ollama profiles can leave it unset.

YAML defaults (bsy-clippy.yaml)

bsy-clippy.yaml selects which profile to use and what settings belong to it. The CLI looks for this file in the current working directory, then in ~/.config/bsy-clippy/, and finally falls back to the bundled sample. Copy the sample to your project or config directory, edit it, and switch profiles as needed:

api:
  profile: ollama
  profiles:
    ollama:
      provider: ollama
      base_url: http://172.20.0.100:11434
      model: qwen3:1.7b
    # openai:
    #   provider: openai
    #   base_url: https://api.openai.com/v1
    #   model: gpt-4o-mini
    #   api_key_env: OPENAI_API_KEY

Switching profiles

• Keep profile: ollama (the default) to talk to an Ollama server; no API token is required. Adjust base_url if your host or port differs.
• To use OpenAI, either set profile: openai in the file or pass --profile openai on the command line. Make sure the OPENAI_API_KEY environment variable (or the name set in api_key_env) is populated before running the command.
• For CESNET/e-INFRA CZ, use the OpenAI-compatible API endpoint https://llm.ai.e-infra.cz/v1 with an API key generated in https://chat.ai.e-infra.cz. Older https://chat.ai.e-infra.cz/api settings are no longer valid for CLI API access.
• You can define additional profiles (for example, staging clusters) under api.profiles and select them with --profile <name>.

Quick check

pip install -r requirements.txt          # or pipx install .
cp src/bsy_clippy/data/bsy-clippy.yaml ./bsy-clippy.yaml
python bsy-clippy.py --help              # confirms dependencies are in place

After copying the sample config you can edit it in-place and re-run bsy-clippy to target a different profile. If you installed via pipx or pip, copy the bundled sample with:

python -c "import importlib.resources as r, pathlib; pathlib.Path('bsy-clippy.yaml').write_text(r.files('bsy_clippy').joinpath('data/bsy-clippy.yaml').read_text())"

Usage

System prompt file

By default, bsy-clippy loads a bundled prompt (Be very brief. Be very short.).
You can change this with --system-file or disable it via --no-default-system.

Example bsy-clippy.txt:

You are a helpful assistant specialized in cybersecurity.
Always explain your reasoning clearly, and avoid unnecessary markdown formatting.

These lines will be sent to the LLM before every user prompt.

User prompt parameter

Use --user-prompt "Classify the following log:" when piping data so the model receives:

system prompt (if any)

user prompt text

data from stdin or interactive input

Interactive memory

Set --memory-lines 6 (or -r 6) to keep the last six conversation lines (user + assistant) while chatting.
Only the final assistant reply (not the thinking traces) is stored and sent back on the next turn.

Chat after stdin

Use -c / --chat-after-stdin to process piped data first and then remain in interactive mode with the response (and any configured memory) available:

cat sample.txt | bsy-clippy -u "Summarize this report" -r 6 -c

After the initial answer prints, you can continue the conversation while the tool remembers the piped data and the model’s reply.

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Interactive mode (default = stream)

Run without piping input:

bsy-clippy

Streaming session looks like:

You: Hello!
LLM (thinking): <think>
Reasoning step by step...
</think>
Hello! How can I assist you today? 😊

Prefer a single print at the end? Switch to batch mode:

bsy-clippy --mode batch

Batch output:

You: Hello!
Hello! How can I assist you today? 😊

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Batch mode (stdin)

Pipe input directly:

echo "Tell me a joke" | bsy-clippy

Output:

Why don’t scientists trust atoms? Because they make up everything!

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Forcing modes

bsy-clippy --mode batch
bsy-clippy --mode stream

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Adjusting temperature

bsy-clippy --temperature 0.2
bsy-clippy --temperature 1.2

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Custom server and model

bsy-clippy --profile ollama --base-url http://127.0.0.1:11434 --model llama2

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Requirements

See requirements.txt.