Original release notes
Open Interpreter 0.0.42
Open Interpreter 0.0.42 improves provider and transport discoverability, keeps the command-line experience consistently branded, and adds a reusable diagnostic harness for Ollama-backed Qwen tool-use checks. It is based on the stable upstream Codex rust-v0.153.4 compatibility baseline.
Models
- Inherited upstream presets:
gpt-6-astra,gpt-5.6-sol,
gpt-5.6-terra, and gpt-5.6-luna. These exact IDs and their metadata are inherited from upstream Codex; Open Interpreter does not add aliases for them, and availability still depends on the selected provider and account.
- Google AI Studio IDs:
gemini-3.8-flash,gemini-3.7-flash,
gemini-3.6-flash, gemini-3.5-flash, gemini-3.5-flash-lite, and gemini-3.1-flash-lite. These are provider-documented IDs surfaced in the model guide, not Open Interpreter-owned model aliases.
- Anthropic IDs:
claude-fable-5-1,claude-opus-5,claude-sonnet-5, andclaude-haiku-4-5-20251001. These are current active provider-documented IDs surfaced in the model guide. - Z.AI IDs:
glm-5.1,glm-5,glm-5-turbo, and the free/lightweightglm-4.7-flash. These are the provider-documented
starting IDs; use the exact ID returned by the selected Z.AI service or plan. Generic Z.AI uses Chat Completions, while the separate ZCode setup uses its compatible Messages endpoint.
- Open Interpreter's OIX-specific work here is provider/catalog, transport,
harness, and product integration. The list above is not a promise that every provider, region, account, wire API, or harness accepts every ID. Use /model and the active provider's model list as the final authority.
CLI and branding
- Chat Completions is easier to find and select through root help,
exechelp,
provider guidance, and generated Bash, Zsh, Fish, and PowerShell completions.
- User-facing help, version, errors, cloud guidance, and diagnostics identify
Open Interpreter consistently. Compatibility names remain only where they describe an upstream protocol, crate, model, or configuration alias.
execconfiguration help explains user configuration loading more clearly.
Local model diagnostics
scripts/ollama_qwen_smoke.pyprovides a reusable, generic Ollama diagnostic
harness for Qwen tool-use checks. It bounds captured output, cleans up timed out process groups, records tool-call signals, and verifies requested file side effects separately from an assistant's final message.
- Its deterministic Python tests are cheap enough for routine checks. Live
Ollama inference is intentionally opt-in for a relevant model report, transport/tool-use change, or fix validation, and may require generous timeouts for slow local inference.

