Replace all claude-sonnet-4 references with claude-sonnet-4.6 across
codebase including documentation, tests, and configuration examples.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove sync.RWMutex and rrCounters from Config struct
- Simplify GetModelConfig to use global atomic counter for load balancing
- Remove unnecessary locks from HasProvidersConfig, SaveConfig, etc.
- Add buildModelWithProtocol helper to handle models with existing prefix
- Fix TestCreateProviderReturnsHTTPProviderForOpenRouter to use model_list
- Upgrade all Claude 3 references to Claude 4 across documentation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Auth fixes:
- Fix OpenAI/Anthropic OAuth and token login to update ModelList
- Fix logout to clear AuthMethod in ModelList
- Add helper functions: isOpenAIModel, isAnthropicModel, isAntigravityModel
- Fix slice bounds panic in isAntigravityModel using strings.HasPrefix
- All auth operations now preserve existing model_list configuration
Factory provider fixes:
- Add OAuth support for openai protocol in CreateProviderFromConfig
- CodexAuthProvider is now used when auth_method is oauth/token
Default model updates:
- OpenAI login: set default model to gpt-5.2
- Anthropic login: set default model to claude-sonnet-4
- Antigravity login: set default model to gemini-flash (remove provider field)
Model changes:
- Change default OpenAI model from gpt-4o to gpt-5.2
- gpt-5.2 is compatible with Codex API (chatgpt.com backend)
- Update all README files, config examples, and migration code
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add support for persisting thought_signature metadata from Google/Gemini 3
models. This introduces ExtraContent and GoogleExtra types to handle
provider-specific metadata, and ensures thought signatures are properly
preserved through the tool call lifecycle.
- Move provider creation logic to factory_provider.go with protocol-based approach
- Add OpenAIProviderConfig with WebSearch support and embedded ProviderConfig
- Add maxTokensField to OpenAI-compatible provider for configurable token field
- Introduce new providers: Ollama, DeepSeek, GitHubCopilot, Antigravity, Qwen
- Remove redundant CreateProvider function from factory.go
- Add ThoughtSignature field to FunctionCall for tool response handling
- Remove duplicate Name field assignment in tool loop
- Update tests to reflect new provider configuration structure
- Preserve user's configured model during config migration (issue #5)
- Simplify ExtractProtocol using strings.Cut
- Extract NormalizeToolCall to shared utility, removing ~70 lines of duplicate code
- Clean up unused fields in providerMigrationConfig struct
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Add VLLM default API base (http://localhost:8000/v1)
- Previously returned empty string, causing provider creation to fail
2. Implement MaxTokensField configuration
- Add maxTokensField field to HTTPProvider
- Add NewHTTPProviderWithMaxTokensField constructor
- Use configured field name for max_tokens parameter
- Fallback to model-based detection for backward compatibility
3. Add tests for VLLM, deepseek, ollama default API bases
Example config usage:
{
"model_name": "glm-4",
"model": "openai/glm-4",
"max_tokens_field": "max_completion_tokens"
}
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Move OAuth helper functions to factory_provider.go
- Add auto-migration in LoadConfig: old providers -> model_list
- Add Workspace field to ModelConfig for CLI-based providers
- Fix OAuth handling to use auth store instead of raw APIKey
- Update tests to use new model_list configuration format
This eliminates the giant switch-case in legacy_provider.go,
achieving the goal of "zero-code provider addition" from the
design document (issue #283).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Refactor command handlers into separate files to improve code organization
and maintainability. Each command (agent, auth, cron, gateway, migrate,
onboard, skills, status) now has its own dedicated file.
Restructure provider creation to support new model_list configuration
system that enables zero-code addition of OpenAI-compatible providers.
Move legacy provider logic to separate file for backward compatibility.
Move configuration functions from config.go to separate files
(defaults.go, migration.go) for better organization.
Resolve conflicts in pkg/providers/types.go and pkg/agent/loop.go:
- types.go: use protocoltypes aliases from PR #213, keep fallback types
- loop.go: drop old single-agent createToolRegistry (replaced by multi-agent pattern)
Refactor to align with PR #213 patterns:
- instance.go: use NewExecToolWithConfig (accept full config for deny patterns)
- registry.go: pass full config to NewAgentInstance
- loop.go: add Perplexity web search options to registerSharedTools
Merge upstream/main into refactor/provider-protocol-122.
Resolve http_provider.go conflict (keep thin delegate).
Wire OpenAIProviderConfig.WebSearch through providerSelection
and into CodexProvider for codex-auth and codex-cli-token paths.
Phase 1: centralize protocol message/tool/response types in protocoltypes and keep compatibility aliases in providers and protocol packages.
Phase 1: preserve HTTPProvider constructor compatibility and route Anthropic api_base through factory auth/provider constructors with base URL normalization.
Phase 2: expand provider routing/auth tests (deepseek/nvidia/shengsuanyun, codex/claude oauth/codex-cli) and add openai_compat + anthropic coverage for proxy transport, model normalization, numeric option coercion, token-source refresh, and base URL behavior.
Phase 3: apply gofmt and validate with Dockerized tests (go test ./pkg/providers/... ./pkg/migrate and go test ./...).
Resolve conflicts:
- pkg/agent/loop.go: integrate context compression, command handling,
utf8 token estimation, and summarization notification into
multi-agent routing architecture
- pkg/config/config_test.go: merge imports from both branches
- pkg/agent/loop_test.go: update test to use registry-based sessions
* feat: add Codex CLI provider for OpenAI subprocess integration
Add CodexCliProvider that wraps `codex exec --json` as a subprocess,
analogous to the existing ClaudeCliProvider pattern. This enables using
OpenAI's Codex CLI tool as a local LLM backend.
- CodexCliProvider: subprocess wrapper parsing JSONL event stream
- Credential reader for ~/.codex/auth.json with token expiry detection
- Factory integration: provider "codex-cli" and auth_method "codex-cli"
- Fix tilde expansion in workspace path for CLI providers
- 37 unit tests covering parsing, prompt building, credentials, and mocks
* fix: add tool call extraction to Codex CLI provider
- Extract shared tool call parsing into tool_call_extract.go
(extractToolCallsFromText, stripToolCallsFromText, findMatchingBrace)
- Both ClaudeCliProvider and CodexCliProvider now share the same
tool call extraction logic for PicoClaw-specific tools
- Fix cache token accounting: include cached_input_tokens in total
- Add 2 new tests for tool call extraction from JSONL events
- Update existing tests for corrected token calculations
* fix(docker): update Go version to match go.mod requirement
Dockerfile used golang:1.24-alpine but go.mod requires go >= 1.25.7.
This caused Docker builds to fail on all branches with:
"go: go.mod requires go >= 1.25.7 (running go 1.24.13)"
Update to golang:1.25-alpine to match the project requirement.
* fix: handle codex CLI stderr noise without losing valid stdout
Codex writes diagnostic messages to stderr (e.g. rollout errors) which
cause non-zero exit codes even when valid JSONL output exists on stdout.
Parse stdout first before checking exit code to avoid false errors.
* style: fix gofmt formatting and update web search API in tests
- Remove trailing whitespace in web.go and base_test.go
- Update config_test.go and web_test.go for WebSearchToolOptions API