refactor: decompose agent loop, fix compressor regression, tighten error classifier

- Fix token estimation regression in context_compressor (missing context,
  shutdown wiring, correct token counting)
- Add EstimateTokens tests in context_compressor_test.go
- Wire graceful shutdown in loop.go, remove dead summarizing field
- Add iteration number to tool_executor logs, fix missing ctx
- Tighten invalidparameter regex in error_classifier to avoid false positives
- Add IsContextWindowError tests in error_classifier_test.go
- Reduce duplication in factory.go with simpleInference helper
- Update README with new providers (mistral, minimax, avian) and features

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -73,6 +73,12 @@
 
 🤖 **AI-Bootstrapped**: Autonomous Go-native implementation — 95% Agent-generated core with human-in-the-loop refinement.
 
+🎙️ **Voice & Media**: Built-in voice transcription (via Groq Whisper) and media attachment handling across all channels.
+
+🔌 **MCP Support**: Connect external tool servers via the Model Context Protocol for extensible capabilities.
+
+🔀 **Model Routing**: Automatic light/heavy model routing to reduce costs — simple queries go to cheaper models, complex ones to full-power models.
+
 |                               | OpenClaw      | NanoBot                  | **PicoClaw**                              |
 | ----------------------------- | ------------- | ------------------------ | ----------------------------------------- |
 | **Language**                  | TypeScript    | Python                   | **Go**                                    |
@@ -984,6 +990,9 @@ The subagent has access to tools (message, web_search, etc.) and can communicate
 | `anthropic(To be tested)`  | LLM (Claude direct)                     | [console.anthropic.com](https://console.anthropic.com)               |
 | `openai(To be tested)`     | LLM (GPT direct)                        | [platform.openai.com](https://platform.openai.com)                   |
 | `deepseek(To be tested)`   | LLM (DeepSeek direct)                   | [platform.deepseek.com](https://platform.deepseek.com)               |
+| `mistral`                  | LLM (Mistral direct)                    | [console.mistral.ai](https://console.mistral.ai)                     |
+| `minimax`                  | LLM (MiniMax direct)                    | [platform.minimaxi.com](https://platform.minimaxi.com)               |
+| `avian`                    | LLM (Avian direct)                      | [avian.io](https://avian.io)                                         |
 | `qwen`                     | LLM (Qwen direct)                       | [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com) |
 | `groq`                     | LLM + **Voice transcription** (Whisper) | [console.groq.com](https://console.groq.com)                         |
 | `cerebras`                 | LLM (Cerebras direct)                   | [cerebras.ai](https://cerebras.ai)                                   |
@@ -1021,6 +1030,9 @@ This design also enables **multi-agent support** with flexible provider selectio
 | **火山引擎**        | `volcengine/`     | `https://ark.cn-beijing.volces.com/api/v3`          | OpenAI    | [Get Key](https://console.volcengine.com)                        |
 | **神算云**          | `shengsuanyun/`   | `https://router.shengsuanyun.com/api/v1`            | OpenAI    | -                                                                |
 | **Vivgrid**         | `vivgrid/`        | `https://api.vivgrid.com/v1`                        | OpenAI    | [Get Key](https://vivgrid.com)                                   |
+| **Mistral**         | `mistral/`        | `https://api.mistral.ai/v1`                         | OpenAI    | [Get Key](https://console.mistral.ai)                            |
+| **MiniMax**         | `minimax/`        | `https://api.minimaxi.com/v1`                       | OpenAI    | [Get Key](https://platform.minimaxi.com)                         |
+| **Avian**           | `avian/`          | `https://api.avian.io/v1`                           | OpenAI    | [Get Key](https://avian.io)                                      |
 | **Antigravity**     | `antigravity/`    | Google Cloud                                        | Custom    | OAuth only                                                       |
 | **GitHub Copilot**  | `github-copilot/` | `localhost:4321`                                    | gRPC      | -                                                                |
 
@@ -1200,13 +1212,16 @@ For detailed migration guide, see [docs/migration/model-list-migration.md](docs/
 
 ### Provider Architecture
 
-PicoClaw routes providers by protocol family:
+PicoClaw uses a **table-driven provider registry** that routes providers by protocol family:
 
-- OpenAI-compatible protocol: OpenRouter, OpenAI-compatible gateways, Groq, Zhipu, and vLLM-style endpoints.
+- **OpenAI-compatible protocol**: OpenRouter, Groq, Zhipu, DeepSeek, Mistral, MiniMax, Avian, Ollama, VLLM, and other OpenAI-compatible gateways.
-- Anthropic protocol: Claude-native API behavior.
+- **Anthropic protocol**: Claude-native API behavior (with OAuth/token support).
-- Codex/OAuth path: OpenAI OAuth/token authentication route.
+- **Codex/OAuth path**: OpenAI OAuth/token authentication route.
+- **Special providers**: Claude CLI, Codex CLI, GitHub Copilot (gRPC), Antigravity (Google Cloud OAuth).
 
-This keeps the runtime lightweight while making new OpenAI-compatible backends mostly a config operation (`api_base` + `api_key`).
+Adding a new OpenAI-compatible provider requires only a registry entry (`api_base` + `api_key` accessor) — no switch statements or code changes.
+
+The agent loop uses a **fallback chain** with cooldown tracking, error classification, and exponential backoff. Context window errors trigger automatic **history compression**; rate limits and server errors trigger fallback to the next configured model.
 
 <details>
 <summary><b>Zhipu</b></summary>

pkg/agent/context_compressor.go

@@ -5,7 +5,7 @@ import (
 	"fmt"
 	"strings"
 	"sync"
-	"unicode/utf8"
+	"time"
 
 	"github.com/sipeed/picoclaw/pkg/bus"
 	"github.com/sipeed/picoclaw/pkg/constants"
@@ -19,13 +19,16 @@ import (
 type ContextCompressor struct {
 	bus         *bus.MessageBus
 	summarizing *sync.Map
+	wg          *sync.WaitGroup
 }
 
 // NewContextCompressor creates a new ContextCompressor.
-func NewContextCompressor(msgBus *bus.MessageBus, summarizing *sync.Map) *ContextCompressor {
+// The wg parameter tracks in-flight goroutines for graceful shutdown.
+func NewContextCompressor(msgBus *bus.MessageBus, summarizing *sync.Map, wg *sync.WaitGroup) *ContextCompressor {
 	return &ContextCompressor{
 		bus:         msgBus,
 		summarizing: summarizing,
+		wg:          wg,
 	}
 }
 
@@ -38,10 +41,14 @@ func (cc *ContextCompressor) MaybeSummarize(agent *AgentInstance, sessionKey, ch
 	if len(newHistory) > SummarizeMessageThreshold || tokenEstimate > threshold {
 		summarizeKey := agent.ID + ":" + sessionKey
 		if _, loading := cc.summarizing.LoadOrStore(summarizeKey, true); !loading {
+			cc.wg.Add(1)
 			go func() {
+				defer cc.wg.Done()
 				defer cc.summarizing.Delete(summarizeKey)
 				if !constants.IsInternalChannel(channel) {
-					cc.bus.PublishOutbound(bus.OutboundMessage{
+					pubCtx, pubCancel := context.WithTimeout(context.Background(), 5*time.Second)
+					defer pubCancel()
+					cc.bus.PublishOutbound(pubCtx, bus.OutboundMessage{
 						Channel: channel,
 						ChatID:  chatID,
 						Content: "Memory threshold reached. Optimizing conversation history...",
@@ -130,8 +137,10 @@ func (cc *ContextCompressor) SummarizeSession(agent *AgentInstance, sessionKey s
 		if m.Role != "user" && m.Role != "assistant" {
 			continue
 		}
-		// Use character-based estimation (2.5 chars per token = totalChars * 2 / 5)
+		// Use byte-based estimation (~2 bytes per token), matching original behavior.
-		msgTokens := utf8.RuneCountInString(m.Content) * 2 / 5
+		// For ASCII text this gives 0.5 chars/token; for CJK (3 bytes/rune) it
+		// over-estimates slightly, which is the safer direction for the guard.
+		msgTokens := len(m.Content) / 2
 		if msgTokens > maxMessageTokens {
 			omitted = true
 			continue
@@ -225,13 +234,11 @@ func (cc *ContextCompressor) SummarizeBatch(
 }
 
 // EstimateTokens estimates the number of tokens in a message list.
-// Uses a safe heuristic of 2.5 characters per token to account for CJK and other
+// Uses byte length / 2 (~2 bytes per token) to match the original behavior.
-// overheads better than the previous 3 chars/token.
 func (cc *ContextCompressor) EstimateTokens(messages []providers.Message) int {
-	totalChars := 0
+	totalBytes := 0
 	for _, m := range messages {
-		totalChars += utf8.RuneCountInString(m.Content)
+		totalBytes += len(m.Content)
 	}
-	// 2.5 chars per token = totalChars * 2 / 5
+	return totalBytes / 2
-	return totalChars * 2 / 5
 }

pkg/agent/context_compressor_test.go

@@ -0,0 +1,90 @@
+package agent
+
+import (
+	"sync"
+	"testing"
+
+	"github.com/sipeed/picoclaw/pkg/providers"
+)
+
+func TestEstimateTokens_ByteBased(t *testing.T) {
+	cc := NewContextCompressor(nil, &sync.Map{}, &sync.WaitGroup{})
+
+	tests := []struct {
+		name     string
+		messages []providers.Message
+		want     int
+	}{
+		{
+			name:     "empty",
+			messages: nil,
+			want:     0,
+		},
+		{
+			name: "ascii text",
+			messages: []providers.Message{
+				{Content: "hello world"}, // 11 bytes → 5 tokens
+			},
+			want: 5,
+		},
+		{
+			name: "multiple messages",
+			messages: []providers.Message{
+				{Content: "hello"},  // 5 bytes
+				{Content: "world"}, // 5 bytes → total 10 → 5 tokens
+			},
+			want: 5,
+		},
+		{
+			name: "CJK text (multi-byte runes)",
+			messages: []providers.Message{
+				{Content: "你好世界"}, // 12 bytes (3 per rune) → 6 tokens
+			},
+			want: 6,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := cc.EstimateTokens(tt.messages)
+			if got != tt.want {
+				t.Errorf("EstimateTokens() = %d, want %d", got, tt.want)
+			}
+		})
+	}
+}
+
+func TestEstimateTokens_MatchesOriginalBehavior(t *testing.T) {
+	// The original code used len(m.Content) / 2.
+	// Verify that the refactored code produces identical results.
+	cc := NewContextCompressor(nil, &sync.Map{}, &sync.WaitGroup{})
+
+	messages := []providers.Message{
+		{Content: "The quick brown fox jumps over the lazy dog"},
+		{Content: "Hello, world!"},
+	}
+
+	// Original: sum of len(m.Content) / 2 for each message? No — it summed all
+	// then divided. Let's compute manually:
+	// "The quick brown fox jumps over the lazy dog" = 43 bytes
+	// "Hello, world!" = 13 bytes
+	// Total = 56 bytes → 56/2 = 28
+	want := 28
+	got := cc.EstimateTokens(messages)
+	if got != want {
+		t.Errorf("EstimateTokens() = %d, want %d (original len/2 behavior)", got, want)
+	}
+}
+
+func TestForceCompression_MinHistory(t *testing.T) {
+	cc := NewContextCompressor(nil, &sync.Map{}, &sync.WaitGroup{})
+
+	// Create a mock agent with minimal history (below MinHistoryForCompression)
+	// ForceCompression should be a no-op.
+	// We can't easily test this without a full AgentInstance, but we can verify
+	// the threshold constant is reasonable.
+	if MinHistoryForCompression < 2 {
+		t.Errorf("MinHistoryForCompression = %d, should be at least 2", MinHistoryForCompression)
+	}
+	_ = cc // used above
+}

pkg/agent/loop.go

@@ -41,7 +41,6 @@ type AgentLoop struct {
 	registry       *AgentRegistry
 	state          *state.Manager
 	running        atomic.Bool
-	summarizing    sync.Map
 	fallback       *providers.FallbackChain
 	channelManager *channels.Manager
 	mediaStore     media.MediaStore
@@ -53,9 +52,10 @@ type AgentLoop struct {
 	toolExec   *ToolExecutor
 
 	// Graceful shutdown support
-	cancelCtx  context.Context
+	cancelCtx    context.Context
-	cancelFunc context.CancelFunc
+	cancelFunc   context.CancelFunc
-	wg         sync.WaitGroup
+	wg           sync.WaitGroup
+	summarizing  sync.Map // owned here, pointer shared with compressor
 }
 
 // processOptions configures how a message is processed
@@ -102,28 +102,25 @@ func NewAgentLoop(
 		stateManager = state.NewManager(defaultAgent.Workspace)
 	}
 
-	// Initialize extracted components
-	summarizing := &sync.Map{}
-	compressor := NewContextCompressor(msgBus, summarizing)
-	toolExec := NewToolExecutor(msgBus)
-
 	// Create cancellation context for graceful shutdown
 	cancelCtx, cancelFunc := context.WithCancel(context.Background())
 
 	al := &AgentLoop{
-		bus:         msgBus,
+		bus:        msgBus,
-		cfg:         cfg,
+		cfg:        cfg,
-		registry:    registry,
+		registry:   registry,
-		state:       stateManager,
+		state:      stateManager,
-		summarizing: sync.Map{},
+		fallback:   fallbackChain,
-		fallback:    fallbackChain,
 		cmdRegistry: commands.NewRegistry(commands.BuiltinDefinitions()),
-		compressor:  compressor,
+		toolExec:   NewToolExecutor(msgBus),
-		toolExec:    toolExec,
+		cancelCtx:  cancelCtx,
-		cancelCtx:   cancelCtx,
+		cancelFunc: cancelFunc,
-		cancelFunc:  cancelFunc,
 	}
 
+	// Wire compressor with references to al.wg (shutdown tracking) and
+	// al.summarizing (dedup map) — must happen after al is allocated.
+	al.compressor = NewContextCompressor(msgBus, &al.summarizing, &al.wg)
+
 	return al
 }
 

pkg/agent/tool_executor.go

@@ -32,6 +32,7 @@ func (te *ToolExecutor) ExecuteToolCalls(
 	agent *AgentInstance,
 	toolCalls []providers.ToolCall,
 	opts processOptions,
+	iteration int,
 ) []providers.Message {
 	var resultMessages []providers.Message
 
@@ -42,6 +43,7 @@ func (te *ToolExecutor) ExecuteToolCalls(
 			map[string]any{
 				"agent_id":  agent.ID,
 				"tool":      tc.Name,
+				"iteration": iteration,
 			})
 
 		// Create async callback for tools that implement AsyncTool
@@ -69,7 +71,7 @@ func (te *ToolExecutor) ExecuteToolCalls(
 
 		// Send ForUser content to user immediately if not Silent
 		if !toolResult.Silent && toolResult.ForUser != "" && opts.SendResponse {
-			te.bus.PublishOutbound(bus.OutboundMessage{
+			te.bus.PublishOutbound(ctx, bus.OutboundMessage{
 				Channel: opts.Channel,
 				ChatID:  opts.ChatID,
 				Content: toolResult.ForUser,

pkg/providers/error_classifier.go

@@ -100,7 +100,7 @@ var (
 		rxp(`total tokens.*exceed`),
 		substr("context_length_exceeded"),
 		substr("maximum context length"),
-		substr("invalidparameter"),
+		rxp(`invalidparameter.*token`),
 		rxp(`tokens?.*exceed`),
 		rxp(`exceeds? the (model|max).*token`),
 	}
@@ -238,8 +238,8 @@ func IsImageSizeError(msg string) bool {
 }
 
 // IsContextWindowError returns true if the error indicates a context window / token limit
-// exhaustion. This is more precise than naive string matching and avoids false positives
+// exhaustion. Uses targeted regex/substring patterns to reduce false positives
-// on errors like "invalid authentication token".
+// (e.g. "invalidparameter" is scoped to token-related errors only).
 func IsContextWindowError(err error) bool {
 	if err == nil {
 		return false

pkg/providers/error_classifier_test.go

@@ -336,3 +336,40 @@ func TestIsImageSizeError(t *testing.T) {
 		t.Error("should not match normal error")
 	}
 }
+
+func TestIsContextWindowError(t *testing.T) {
+	// Should match token-related errors
+	positives := []string{
+		"context window length exceeded",
+		"maximum context length is 128000 tokens",
+		"context_length_exceeded",
+		"max token limit reached",
+		"total tokens exceeded model limit",
+		"tokens exceeded the maximum",
+		"exceeds the model token limit",
+		"invalidparameter: max_tokens exceeded",
+	}
+	for _, msg := range positives {
+		if !IsContextWindowError(errors.New(msg)) {
+			t.Errorf("expected true for %q", msg)
+		}
+	}
+
+	// Should NOT match non-token errors (false positive regression test)
+	negatives := []string{
+		"invalidparameter: temperature must be between 0 and 2",
+		"invalidparameter: model not found",
+		"invalid authentication token",
+		"normal error message",
+	}
+	for _, msg := range negatives {
+		if IsContextWindowError(errors.New(msg)) {
+			t.Errorf("expected false for %q (false positive)", msg)
+		}
+	}
+
+	// Nil error
+	if IsContextWindowError(nil) {
+		t.Error("expected false for nil error")
+	}
+}

pkg/providers/factory.go

@@ -183,20 +183,56 @@ type modelInferenceEntry struct {
 	apply func(cfg *config.Config, sel *providerSelection) bool
 }
 
-// modelInferenceRegistry defines fallback model → provider inference rules.
+// simpleInference creates a modelInferenceEntry for standard providers.
-// Order matters: first match wins.
+// It matches model names by keyword (substring of lowercase model) or prefix (of original model),
-var modelInferenceRegistry = []modelInferenceEntry{
+// checks that the provider has credentials, and delegates to standardProviderRegistry.
-	// Moonshot/Kimi
+// This eliminates boilerplate for providers that follow the standard pattern.
-	{
+func simpleInference(registryKey string, keywords []string, prefixes []string) modelInferenceEntry {
+	return modelInferenceEntry{
 		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "kimi") || strings.Contains(lm, "moonshot") || strings.HasPrefix(m, "moonshot/")) &&
+			nameMatch := false
-				cfg.Providers.Moonshot.APIKey != ""
+			for _, p := range prefixes {
+				if strings.HasPrefix(m, p) {
+					nameMatch = true
+					break
+				}
+			}
+			if !nameMatch {
+				for _, k := range keywords {
+					if strings.Contains(lm, k) {
+						nameMatch = true
+						break
+					}
+				}
+			}
+			if !nameMatch {
+				return false
+			}
+			entry, ok := standardProviderRegistry[registryKey]
+			if !ok {
+				return false
+			}
+			if entry.hasKey != nil {
+				return entry.hasKey(cfg)
+			}
+			key, _, _ := entry.getConfig(cfg)
+			return key != ""
 		},
 		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["moonshot"])
+			return applyStandardProvider(cfg, sel, standardProviderRegistry[registryKey])
 		},
-	},
+	}
-	// OpenRouter-prefixed models (openrouter/, anthropic/, openai/, meta-llama/, deepseek/, google/)
+}
+
+// modelInferenceRegistry defines fallback model → provider inference rules.
+// Order matters: first match wins.
+// Simple providers use simpleInference() to reduce boilerplate; complex providers
+// (with OAuth, special auth, or multi-prefix routing) use custom entries.
+var modelInferenceRegistry = []modelInferenceEntry{
+	// Moonshot/Kimi
+	simpleInference("moonshot", []string{"kimi", "moonshot"}, []string{"moonshot/"}),
+	// OpenRouter-prefixed models — no credential check in matches because OpenRouter
+	// acts as a router; credential check happens in applyStandardProvider.
 	{
 		matches: func(_, m string, _ *config.Config) bool {
 			for _, prefix := range []string{"openrouter/", "anthropic/", "openai/", "meta-llama/", "deepseek/", "google/"} {
@@ -210,7 +246,7 @@ var modelInferenceRegistry = []modelInferenceEntry{
 			return applyStandardProvider(cfg, sel, standardProviderRegistry["openrouter"])
 		},
 	},
-	// Claude models → Anthropic (with OAuth support)
+	// Claude models → Anthropic (custom: OAuth/token auth support)
 	{
 		matches: func(lm, m string, cfg *config.Config) bool {
 			return (strings.Contains(lm, "claude") || strings.HasPrefix(m, "anthropic/")) &&
@@ -234,7 +270,7 @@ var modelInferenceRegistry = []modelInferenceEntry{
 			return true
 		},
 	},
-	// GPT models → OpenAI (with OAuth/codex-cli support)
+	// GPT models → OpenAI (custom: OAuth/codex-cli/web-search support)
 	{
 		matches: func(lm, m string, cfg *config.Config) bool {
 			return (strings.Contains(lm, "gpt") || strings.HasPrefix(m, "openai/")) &&
@@ -259,88 +295,17 @@ var modelInferenceRegistry = []modelInferenceEntry{
 			return true
 		},
 	},
-	// Gemini
+	// Standard providers — simple keyword/prefix matching
-	{
+	simpleInference("gemini", []string{"gemini"}, []string{"google/"}),
-		matches: func(lm, m string, cfg *config.Config) bool {
+	simpleInference("zhipu", []string{"glm", "zhipu", "zai"}, nil),
-			return (strings.Contains(lm, "gemini") || strings.HasPrefix(m, "google/")) && cfg.Providers.Gemini.APIKey != ""
+	simpleInference("groq", []string{"groq"}, []string{"groq/"}),
-		},
+	simpleInference("nvidia", []string{"nvidia"}, []string{"nvidia/"}),
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
+	simpleInference("ollama", []string{"ollama"}, []string{"ollama/"}),
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["gemini"])
+	simpleInference("mistral", []string{"mistral"}, []string{"mistral/"}),
-		},
+	simpleInference("vivgrid", nil, []string{"vivgrid/"}),
-	},
+	simpleInference("minimax", []string{"minimax"}, []string{"minimax/"}),
-	// Zhipu/GLM
+	simpleInference("avian", nil, []string{"avian/"}),
-	{
+	// VLLM (custom: matches any model if API base is configured)
-		matches: func(lm, _ string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "glm") || strings.Contains(lm, "zhipu") || strings.Contains(lm, "zai")) && cfg.Providers.Zhipu.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["zhipu"])
-		},
-	},
-	// Groq
-	{
-		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "groq") || strings.HasPrefix(m, "groq/")) && cfg.Providers.Groq.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["groq"])
-		},
-	},
-	// Nvidia
-	{
-		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "nvidia") || strings.HasPrefix(m, "nvidia/")) && cfg.Providers.Nvidia.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["nvidia"])
-		},
-	},
-	// Ollama
-	{
-		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "ollama") || strings.HasPrefix(m, "ollama/")) && cfg.Providers.Ollama.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["ollama"])
-		},
-	},
-	// Mistral
-	{
-		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "mistral") || strings.HasPrefix(m, "mistral/")) && cfg.Providers.Mistral.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["mistral"])
-		},
-	},
-	// Vivgrid
-	{
-		matches: func(_, m string, cfg *config.Config) bool {
-			return strings.HasPrefix(m, "vivgrid/") && cfg.Providers.Vivgrid.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["vivgrid"])
-		},
-	},
-	// Minimax
-	{
-		matches: func(lm, m string, cfg *config.Config) bool {
-			return (strings.Contains(lm, "minimax") || strings.HasPrefix(m, "minimax/")) && cfg.Providers.Minimax.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["minimax"])
-		},
-	},
-	// Avian
-	{
-		matches: func(_, m string, cfg *config.Config) bool {
-			return strings.HasPrefix(m, "avian/") && cfg.Providers.Avian.APIKey != ""
-		},
-		apply: func(cfg *config.Config, sel *providerSelection) bool {
-			return applyStandardProvider(cfg, sel, standardProviderRegistry["avian"])
-		},
-	},
-	// VLLM (fallback if API base is configured)
 	{
 		matches: func(_, _ string, cfg *config.Config) bool {
 			return cfg.Providers.VLLM.APIBase != ""