fix(ci): resolve all test failures + complete rename compat layer
Sisyphus-authored fixes across 15 files: - plugin-identity: align CONFIG_BASENAME with actual config file name - add-plugin-to-opencode-config: handle legacy→canonical name migration - plugin-detection tests: update expectations for new identity constants - doctor/system: fix legacy name warning test assertions - install tests: align with new plugin name - chat-params tests: fix mock isolation - model-capabilities tests: fix snapshot expectations - image-converter: fix platform-dependent test assertions (Linux CI) - example configs: expanded with more detailed comments Full suite: 4484 pass, 0 fail, typecheck clean.
This commit is contained in:
@@ -1,56 +1,112 @@
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// oh-my-openagent planning-focused configuration
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// Optimized for large projects: Prometheus planning → Atlas orchestration.
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// Uses Opus for planning and review, Sonnet for implementation.
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{
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"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-opencode/dev/assets/oh-my-opencode.schema.json",
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// Optimized for strategic planning, architecture, and complex project design.
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// Prioritizes deep thinking agents and thorough analysis before execution.
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"agents": {
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// Sisyphus with Sonnet — reliable implementation
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// Orchestrator: delegates to planning agents first
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"sisyphus": {
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"model": "anthropic/claude-sonnet-4-6",
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"variant": "max"
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},
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// Hephaestus as alternative worker
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"hephaestus": {
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"model": "openai/gpt-5.3-codex"
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},
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// Atlas with Opus — strong orchestration and task decomposition
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"atlas": {
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"model": "anthropic/claude-opus-4-6",
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"variant": "max",
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"prompt_append": "Leverage quick & deep agents in parallel when tasks are independent."
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"ultrawork": { "model": "anthropic/claude-opus-4-6", "variant": "max" },
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"prompt_append": "Always consult prometheus and atlas for planning. Never rush to implementation.",
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},
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// Prometheus with Opus — best planning quality
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// Implementation: uses planning outputs
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"hephaestus": {
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"model": "openai/gpt-5.3-codex",
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"prompt_append": "Follow established plans precisely. Ask for clarification when plans are ambiguous.",
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},
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// Primary planner: deep interview mode
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"prometheus": {
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"model": "anthropic/claude-opus-4-6",
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"variant": "max",
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"prompt_append": "Leverage quick & deep agents in parallel when tasks are independent."
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"thinking": { "type": "enabled", "budgetTokens": 160000 },
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"prompt_append": "Interview extensively. Question assumptions. Build exhaustive plans with milestones, risks, and contingencies. Use deep & quick agents heavily in parallel for research.",
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},
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// Support agents
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"explore": {
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"model": "anthropic/claude-haiku-4-5"
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// Architecture consultant
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"oracle": {
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"model": "openai/gpt-5.4",
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"variant": "xhigh",
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"thinking": { "type": "enabled", "budgetTokens": 120000 },
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},
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"librarian": {
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"model": "anthropic/claude-haiku-4-5"
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}
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// Research and documentation
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"librarian": { "model": "google/gemini-3-flash" },
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// Exploration for research phase
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"explore": { "model": "github-copilot/grok-code-fast-1" },
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// Visual planning and diagrams
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"multimodal-looker": { "model": "google/gemini-3.1-pro", "variant": "high" },
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// Plan review and refinement: heavily utilized
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"metis": {
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"model": "anthropic/claude-opus-4-6",
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"prompt_append": "Critically evaluate plans. Identify gaps, risks, and improvements. Be thorough.",
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},
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// Critic: challenges assumptions
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"momus": {
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"model": "openai/gpt-5.4",
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"prompt_append": "Challenge all assumptions in plans. Look for edge cases, failure modes, and overlooked requirements.",
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},
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// Long-running planning sessions
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"atlas": {
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"prompt_append": "Preserve context across long planning sessions. Track evolving decisions.",
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},
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// Quick research tasks
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"sisyphus-junior": { "model": "opencode/gpt-5-nano" },
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},
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"categories": {
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"quick": {
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"model": "anthropic/claude-sonnet-4-6",
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"description": "Scaffolding, config changes, simple fixes"
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},
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"deep": {
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"model": "anthropic/claude-sonnet-4-6",
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"variant": "max",
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"description": "Core module implementation, refactoring"
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},
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"quick": { "model": "opencode/gpt-5-nano" },
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"unspecified-low": { "model": "anthropic/claude-sonnet-4-6" },
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// High-effort planning tasks: maximum reasoning
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"unspecified-high": {
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"model": "anthropic/claude-opus-4-6",
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"variant": "max",
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"description": "High-stakes tasks requiring maximum quality"
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}
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}
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"model": "openai/gpt-5.4",
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"variant": "xhigh",
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},
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// Documentation from plans
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"writing": { "model": "google/gemini-3-flash" },
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// Visual architecture
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"visual-engineering": { "model": "google/gemini-3.1-pro", "variant": "high" },
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// Deep research and analysis
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"deep": { "model": "openai/gpt-5.3-codex" },
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// Strategic reasoning
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"ultrabrain": { "model": "openai/gpt-5.4", "variant": "xhigh" },
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// Creative approaches to problems
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"artistry": { "model": "google/gemini-3.1-pro", "variant": "high" },
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},
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// Moderate concurrency: planning is sequential by nature
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"background_task": {
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"defaultConcurrency": 5,
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"staleTimeoutMs": 300000,
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"providerConcurrency": {
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"anthropic": 3,
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"openai": 3,
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},
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"modelConcurrency": {
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"anthropic/claude-opus-4-6": 2,
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"openai/gpt-5.4": 2,
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},
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},
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"sisyphus_agent": {
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"planner_enabled": true,
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"replace_plan": true,
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},
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"experimental": { "aggressive_truncation": true },
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}
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