Bump hard-coded provider defaults to the May 2026 lineup:
- Anthropic: claude-sonnet-4-6 (default); Opus 4.7 and Haiku 4.5 in
the fallback list. 4.6/4.7 generation has 1M context standard.
- OpenAI: gpt-5.5 (default); 5.5-pro / 5.2 / 5.2-chat-latest in
fallback. ThinkingModes now baseline on GPT-5.x.
- Google: gemini-3.5-flash (default); 3.1 Pro / Flash Lite in fallback.
- Mistral: mistral-large-latest unchanged (Mistral Large 3); add
mistral-medium-3.5, mistral-medium-2511, mistral-large-2512 to the
rate-limit map.
Legacy dated IDs retained in fallback lists and ratelimits maps so
configs pinned to claude-sonnet-4-20250514 / gpt-4o / gemini-2.5-flash
keep resolving. Capability tables (ContextWindow, MaxOutput,
ThinkingModes) updated to match each generation. CLI help text in
cmd/gnoma/main.go also updated.
Removes five unused funcs/vars/fields that golangci-lint had been
flagging (anthropic.toolCallDoneEvent, mistral.translateMessages,
hook.newError, subprocess.vibeParser.lastAssistantMsgID, tui.cBase),
two ineffectual assignments (tui/rendering.go visible-window loop,
subprocess stream_test setup), and a stale if/HasPrefix that's now a
strings.TrimPrefix.
Wires errcheck onto every subprocess / stream lifecycle path so a
failed close or shutdown is at least logged rather than silently
dropped:
- engine/loop.go: stream.Close on both the error and success paths
- mcp/manager.go: Shutdown when StartAll partial-fails; Transport
close after Initialize failure
- mcp/transport.go: stdin.Close + syscall.Kill on graceful-timeout
fallback
- slm/download.go: Close propagated as a named-return error on the
success path; explicitly discarded on the rollback path
- slm/classifier.go, slm/manager.go, hook/prompt.go, context/summarize.go,
config/write.go, cmd/gnoma/main.go, tool/fs/grep.go: explicit
ignores or error logging on Close / Shutdown / WalkDir / Scanln
Production-code errcheck and ineffassign are now zero. Remaining
golangci-lint output is test-only Close-in-defer noise plus
stylistic staticcheck QF suggestions, left alone.
- OpenAI provider: use Models.ListAutoPaging() to discover available models
- Anthropic provider: use Models.ListAutoPaging() to discover available models
- Google provider: use Models.All() iterator to discover available models
- All providers fall back to hardcoded lists if API calls fail
- Add capability inference functions for each provider based on model ID
- Add tests for model discovery fallback behavior
This enables gnoma to dynamically discover new models as they become available
from cloud providers, while maintaining backward compatibility with fallback
lists for offline use or API failures.
Add EffortLevel (auto/low/medium/high) as a provider-agnostic reasoning
control, replacing the Capabilities.Thinking bool. Each provider maps
the level to its native parameter: Anthropic budget tokens (1K/8K/16K),
OpenAI reasoning_effort (low/medium/high), Google thinking budget
(1K/8K/16K). Task classification auto-infers effort from TaskType and
complexity; filterFeasible excludes arms that lack the required level.
Streaming, tool use (with InputJSONDelta assembly), thinking blocks,
cache token tracking, system prompt separation. Tool name sanitization
(fs.read → fs_read) for Anthropic's naming constraints with reverse
translation on tool call responses.
Hardcoded model list with capabilities (Opus 4, Sonnet 4, Haiku 4.5).
Wired into CLI with ANTHROPIC_API_KEY + ANTHROPICS_API_KEY env support.
Also: migrated Mistral SDK to github.com/VikingOwl91/mistral-go-sdk.
Live verified: text streaming + tool calling with claude-sonnet-4.
126 tests across 9 packages.
vikingowl