Skip to main content

The terminal client for Ollama, OpenAI, Anthropic, and any pydantic-ai-supported provider.

Project description

oterm

Tests codecov

The terminal client for Ollama, OpenAI, Anthropic, and any pydantic-ai-supported provider.

Splash

Install

uvx oterm

Full install methods, configuration, and usage: oterm Documentation.

What's new

  • Multi-provider, via pydantic-ai (breaking). oterm is no longer Ollama-only — it drives any pydantic-ai-supported provider: OpenAI, Anthropic, Google (AI / Vertex), Groq, Mistral, Cohere, AWS Bedrock, DeepSeek, Cerebras, Grok, Hugging Face, OpenAI-compatible endpoints (vLLM, LM Studio, llama.cpp, OpenRouter, LiteLLM, …), and Ollama. Set the matching API key and the provider appears in the new-chat dropdown.
  • Refreshed chat UI. Borderless accent-driven layout, auto-growing prompt, inline [Image #N] attachment tokens, a collapsing thinking section, and a live token-usage footer in place of the spinner.
  • Faster streaming. Markdown is now updated as deltas arrive instead of being re-rendered on every token, so long responses don't slow the terminal as they grow.
  • MCP rewrite (breaking). The mcpServers config block adopts pydantic-ai's standard schema (compatible with Claude Desktop / Cursor). See docs/mcp for the full migration notes.

License

MIT License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oterm-0.17.2.tar.gz (5.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oterm-0.17.2-py3-none-any.whl (52.8 kB view details)

Uploaded Python 3

File details

Details for the file oterm-0.17.2.tar.gz.

File metadata

  • Download URL: oterm-0.17.2.tar.gz
  • Upload date:
  • Size: 5.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for oterm-0.17.2.tar.gz
Algorithm Hash digest
SHA256 d4fbb899232581ba1327361417383958ad90a35b8bdc1e80b25dbc6e680188d5
MD5 15647ac704858482a3da3e801a1c6e22
BLAKE2b-256 b3de09d761e167f2bd80998dae9ec3cec937a6cc2ec46153b43a79797e1348f7

See more details on using hashes here.

File details

Details for the file oterm-0.17.2-py3-none-any.whl.

File metadata

  • Download URL: oterm-0.17.2-py3-none-any.whl
  • Upload date:
  • Size: 52.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for oterm-0.17.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a100ba6066280ee72281a775a3677cb2b022ab0afc46c26ca8a2df20802d3905
MD5 72e9f8007583df52185cdf6a158627ae
BLAKE2b-256 b460e00be34e511cdea3d0fa6291dc92eacec0e91a94a6dd0ac72b67a930fcc4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page