* feat(auth): add Anthropic OAuth setup-token login flow
Add support for Anthropic's OAuth-based setup tokens (sk-ant-oat01-*)
as an alternative to API keys. This includes:
- New `--setup-token` flag on `auth login` command
- Interactive login menu for Anthropic (setup token vs API key)
- Setup token validation and credential storage with oauth auth method
- Usage endpoint integration to show 5h/7d utilization in `auth status`
- Streaming support for OAuth tokens (required by Anthropic API)
- Model ID normalization (dots to hyphens) for API compatibility
- Remove .env.example (secrets should not be templated)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(auth): update related functionality
* refactor(auth): organize constants and improve header casing in requests fo CI
* fix(auth): fix golint again
* fix(auth): handle nil arguments in tool calls for buildParams function
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Co-authored-by: Baller <sharonms3377@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
io.ReadAll errors were silently discarded with `body, _ := io.ReadAll(...)`,
which could cause empty or partial data to be used for JSON unmarshaling
or error messages. This adds proper error checks for all instances.
* feat: add extended thinking support for Anthropic models
Support configurable thinking levels (off/low/medium/high/xhigh/adaptive)
via `agents.defaults.thinking_level` config field.
- "adaptive": uses Anthropic's adaptive thinking API (Claude 4.6+)
- "low/medium/high/xhigh": uses budget_tokens (all thinking-capable models)
- "off": disables thinking (default)
API constraints handled:
- Temperature cleared when thinking is enabled
- budget_tokens clamped to max_tokens-1
- Thinking response blocks parsed into Reasoning field
Relates to #645, #966
* fix: address PR review feedback for thinking support
- Add ThinkingCapable interface for provider capability detection
- Warn when thinking_level is set but provider doesn't support it
- Warn when temperature is cleared due to thinking enabled
- Adjust budget values per Anthropic best practices (medium=16K, xhigh=64K)
- Add budget clamp warning and 80% threshold warning
- Add parseResponse thinking block tests
- Add thinking_level field to config.example.json
* refactor: move ThinkingLevel from AgentDefaults to ModelConfig
Thinking is a model-level capability, not a global agent property.
Per-model config avoids silent ignoring on non-Anthropic providers
and eliminates spurious warning logs in multi-provider setups.
Addresses PR #1076 review feedback from @yinwm.
Add Avian (https://avian.io) as an OpenAI-compatible provider with
API base https://api.avian.io/v1 and AVIAN_API_KEY env var support.
Models: deepseek/deepseek-v3.2, moonshotai/kimi-k2.5, z-ai/glm-5,
minimax/minimax-m2.5. Supports chat completions, streaming, and
function calling.
Changes:
- Add Avian to ProvidersConfig struct, IsEmpty(), HasProvidersConfig()
- Add avian protocol to factory provider and default API base
- Add avian case to legacy provider selection (factory.go)
- Add avian migration rule for old config format
- Add default model entries to ModelList (deepseek-v3.2, kimi-k2.5)
- Add avian to example config
- Update AllProviders test count from 18 to 19
- Separate third-party imports from local module imports (gci)
- Fix byte slice literal formatting (gofumpt)
- Rename shadowed err variable to ftErr (govet)
- Remove trailing blank lines in test files
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- serializeMessages: preserve ToolCallID/ToolCalls when Media is present
- resolveMediaRefs: add 20MB file size limit to prevent OOM
- mimeFromExtension: return empty string for unknown extensions
- Add 11 unit tests for serializeMessages, resolveMediaRefs, mimeFromExtension
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The serializeMessages() function was not preserving the reasoning_content
field when serializing messages for vision API calls. This caused the
TestProviderChat_PreservesReasoningContentInHistory test to fail.
This fix ensures reasoning_content is included in both text-only messages
and vision messages with media attachments.
Co-authored-by: Zachary Guerrero <zack.grrr@gmail.com>
- Add Media []string field to Message struct for image/media URLs
- Implement serializeMessages() to format messages with image_url content parts
- Enables OpenAI-compatible vision APIs to receive image attachments
* fix(pkg/providers):do regex precompile insteadd on the fly
* fix(providers): replace HTTP-specific regex with standalone status code matcher
The precompiled HTTP regex used uppercase "HTTP" which never matched
because ClassifyError lowercases the input. Replace it with a
case-insensitive word-boundary pattern that matches any standalone
3-digit status code (300-599), which also subsumes the HTTP/x.x case.
Add test case for standalone status code extraction.
* fix(providers): restore http regex and add standalone status code matcher
Restore the http-prefixed regex (without unnecessary (?i) flag since
input is already lowercased by ClassifyError) as a mid-priority pattern
to reduce false positives. Add a standalone word-boundary matcher as a
fallback for bare status codes like "429". Fix test to use lowercased
input matching the actual calling convention.
* perf(tools): move path regex compilation from per-call to package init
The path regex in guardCommand was compiled on every call. Hoist it
to a package-level var (absolutePathPattern) alongside defaultDenyPatterns
in a single var block, so it is compiled once at init time.
* style(tools): move inline comment to fix golines formatting error
- Fix ignored error from SendAndWait call
- Improve error message for unimplemented stdio mode with helpful guidance
- Add TODO comment with reference link for future stdio implementation
The openaiMessage struct and stripSystemParts() were not carrying over
the ReasoningContent field when serializing conversation history for
API requests. This caused thinking models (e.g. kimi-k2.5) to receive
incomplete assistant messages on subsequent turns, resulting in 400
errors from the Moonshot API.
Add the ReasoningContent field to openaiMessage and copy it in
stripSystemParts(). Also add a test to verify reasoning_content is
preserved when sending conversation history.
Fixes#588
Related: #876
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Whitespace is a linter that checks for unnecessary newlines at the start and end of functions, if, for, etc.
Signed-off-by: Kai Xia <kaix+github@fastmail.com>
Avoid rebuilding the entire system prompt on every BuildMessages() call
by caching the static portion (identity, bootstrap, skills summary,
memory) and only recomputing it when workspace source files change.
Key changes:
- ContextBuilder caches the static prompt behind an RWMutex with
double-checked locking. Source file changes are detected via cheap
os.Stat mtime checks so no explicit invalidation is needed.
- Track file existence at cache time (existedAtCache map) so that
newly created or deleted bootstrap/memory files also trigger a
rebuild — the old modifiedSince() silently returned false on
os.IsNotExist.
- Walk the skills directory recursively with filepath.WalkDir to
catch content-only edits at any nesting depth; directory mtime
alone misses in-place file modifications on most filesystems.
- ToolRegistry.sortedToolNames() sorts tool names before iteration,
ensuring deterministic tool definition order across calls — a
prerequisite for LLM-side prefix/KV cache reuse.
- Merge all context (static + dynamic + summary) into a single
system message for provider compatibility: the Anthropic adapter
extracts messages[0] as the top-level system parameter, and Codex
reads only the first system message as instructions.
- Fix a data race in BuildMessages() where cachedSystemPrompt was
read without holding the lock in a debug log statement.
- Add tests: single system message invariant, mtime auto-invalidation,
new-file creation detection, skill file content change, explicit
InvalidateCache, cache stability, concurrent access (20 goroutines
x 50 iterations, passes go test -race), and a benchmark.
The configuration field for specifying the model has been renamed from
"model" to "model_name" for better clarity and consistency with the
model_list configuration.
A GetModelName() accessor method has been added to maintain backward
compatibility. Existing configurations using the old "model" field will
continue to work correctly.
This change affects:
- Configuration structure (AgentDefaults struct)
- All references across the codebase
- Documentation in all language variants
- Example configuration files
Mistral's API strictly validates tool_calls in assistant messages and
rejects non-standard fields. The ToolCall struct had Name and Arguments
as top-level JSON fields, duplicating data already in Function.Name
and Function.Arguments. OpenAI silently ignored these extras but
Mistral returns 422.
Change json tags to "-" so these internal fields are no longer
serialized to API payloads while remaining available in Go code.
Add Mistral as a first-class provider alongside the 17 existing ones.
Mistral uses the OpenAI-compatible API at https://api.mistral.ai/v1
with provider-specific model prefix stripping (mistral/model → model).
Changes:
- Add Mistral to ProvidersConfig, IsEmpty(), HasProvidersConfig()
- Add mistral entry in default model_list (defaults.go)
- Add mistral protocol in factory_provider.go and getDefaultAPIBase()
- Add mistral prefix stripping in openai_compat normalizeModel()
- Add mistral case in legacy factory.go resolveProviderSelection()
- Add mistral migration entry in ConvertProvidersToModelList()
- Add mistral to supported providers in migrate/config.go
- Add mistral section in config.example.json
- Update AllProviders test (17 → 18 providers)
Tested end-to-end with mistral-small-latest model.
BallerIsLeet