Harm Weites and Andrey Nering created
Co-authored-by: Andrey Nering <andreynering@users.noreply.github.com>.github/workflows/update.yml | 3
Taskfile.yaml | 5
cmd/opencode-zen/main.go | 209 ++++++
internal/providers/configs/opencode-zen.json | 731 ++++++++++++++++++++++
internal/providers/providers.go | 8
pkg/catwalk/provider.go | 2
6 files changed, 958 insertions(+)
@@ -40,6 +40,9 @@ jobs:
- run: go run ./cmd/ionet/main.go
continue-on-error: true
+ - run: go run ./cmd/opencode-zen/main.go
+ continue-on-error: true
+
- run: go run ./cmd/openrouter/main.go
continue-on-error: true
@@ -115,6 +115,11 @@ tasks:
cmds:
- go run cmd/neuralwatt/main.go
+ gen:opencode-zen:
+ desc: Generate OpenCode Zen provider configurations
+ cmds:
+ - go run cmd/opencode-zen/main.go
+
gen:openrouter:
desc: Generate openrouter provider configurations
cmds:
@@ -0,0 +1,209 @@
+// Package main generates the OpenCode Zen provider configuration.
+package main
+
+import (
+ "cmp"
+ "context"
+ "encoding/json"
+ "fmt"
+ "io"
+ "log"
+ "math"
+ "net/http"
+ "os"
+ "slices"
+ "strings"
+ "time"
+
+ "charm.land/catwalk/pkg/catwalk"
+)
+
+type ZenModel struct {
+ ID string `json:"id"`
+ Object string `json:"object"`
+ Created int64 `json:"created"`
+ OwnedBy string `json:"owned_by"`
+}
+
+type ZenModelsResponse struct {
+ Object string `json:"object"`
+ Data []ZenModel `json:"data"`
+}
+
+type PricingData struct {
+ Input float64 `json:"input"`
+ Output float64 `json:"output"`
+ CacheRead float64 `json:"cache_read,omitempty"`
+ CacheWrite float64 `json:"cache_write,omitempty"`
+}
+
+type ModelLimit struct {
+ Context int64 `json:"context"`
+ Output int64 `json:"output"`
+}
+
+type ModelEnrichment struct {
+ Name string `json:"name"`
+ Attachment bool `json:"attachment"`
+ Reasoning bool `json:"reasoning"`
+ Cost PricingData `json:"cost"`
+ Limit ModelLimit `json:"limit"`
+}
+
+func fetchZenModels() ([]ZenModel, error) {
+ apiKey := cmp.Or(os.Getenv("OPENCODE_API_KEY"), "public")
+
+ client := &http.Client{Timeout: 30 * time.Second}
+ req, _ := http.NewRequestWithContext(
+ context.Background(),
+ "GET",
+ "https://opencode.ai/zen/v1/models",
+ nil,
+ )
+ req.Header.Set("User-Agent", "Catwalk/1.0")
+ req.Header.Set("Authorization", "Bearer "+apiKey)
+
+ resp, err := client.Do(req)
+ if err != nil {
+ return nil, fmt.Errorf("failed to fetch zen models: %w", err)
+ }
+ defer func() { _ = resp.Body.Close() }()
+ if resp.StatusCode != 200 {
+ body, _ := io.ReadAll(resp.Body)
+ return nil, fmt.Errorf("status %d: %s", resp.StatusCode, body)
+ }
+
+ var mr ZenModelsResponse
+ if err := json.NewDecoder(resp.Body).Decode(&mr); err != nil {
+ return nil, fmt.Errorf("failed to decode zen models: %w", err)
+ }
+
+ return mr.Data, nil
+}
+
+func fetchEnrichmentData() (map[string]ModelEnrichment, error) {
+ client := &http.Client{Timeout: 30 * time.Second}
+ req, _ := http.NewRequestWithContext(
+ context.Background(),
+ "GET",
+ "https://models.dev/api.json",
+ nil,
+ )
+ req.Header.Set("User-Agent", "Catwalk/1.0")
+
+ resp, err := client.Do(req)
+ if err != nil {
+ return nil, fmt.Errorf("failed fetching enrichment data: %w", err)
+ }
+ defer func() { _ = resp.Body.Close() }()
+ if resp.StatusCode != 200 {
+ body, _ := io.ReadAll(resp.Body)
+ return nil, fmt.Errorf("status %d: %s", resp.StatusCode, body)
+ }
+
+ var fullData map[string]json.RawMessage
+ if err := json.NewDecoder(resp.Body).Decode(&fullData); err != nil {
+ return nil, fmt.Errorf("failed to decode when fetching enrichment data: %w", err)
+ }
+
+ rawOpenCode, ok := fullData["opencode"]
+ if !ok {
+ return nil, fmt.Errorf("opencode provider not found in models.dev/api.json")
+ }
+
+ var openCodeData struct {
+ Models map[string]ModelEnrichment `json:"models"`
+ }
+ if err := json.Unmarshal(rawOpenCode, &openCodeData); err != nil {
+ return nil, fmt.Errorf("failed to unmarshal when fetching enrichment data: %w", err)
+ }
+
+ return openCodeData.Models, nil
+}
+
+func main() {
+ zenModels, err := fetchZenModels()
+ if err != nil {
+ log.Fatal("Error fetching OpenCode Zen models:", err)
+ }
+
+ enrichmentData, err := fetchEnrichmentData()
+ if err != nil {
+ log.Fatal("Error fetching enrichment data:", err)
+ }
+
+ zenProvider := catwalk.Provider{
+ Name: "OpenCode Zen",
+ ID: catwalk.InferenceProviderOpenCodeZen,
+ APIKey: "$OPENCODE_API_KEY",
+ APIEndpoint: "https://opencode.ai/zen/v1",
+ Type: catwalk.TypeOpenAICompat,
+ DefaultLargeModelID: "minimax-m2.5-free",
+ DefaultSmallModelID: "minimax-m2.5-free",
+ }
+
+ for _, zenModel := range zenModels {
+ enrichment, hasEnrichment := enrichmentData[zenModel.ID]
+
+ var costPer1MIn, costPer1MOut, costPer1MInCached, costPer1MOutCached float64
+ var contextWindow, defaultMaxTokens int64 = 200000, 20000
+ var supportsImages bool
+ var canReason bool
+ var reasoningLevels []string
+ var defaultReasoningEffort string
+ modelName := zenModel.ID
+
+ if hasEnrichment {
+ costPer1MIn = math.Round(enrichment.Cost.Input*100) / 100
+ costPer1MOut = math.Round(enrichment.Cost.Output*100) / 100
+ costPer1MInCached = math.Round(enrichment.Cost.CacheRead*100) / 100
+ costPer1MOutCached = math.Round(enrichment.Cost.CacheWrite*100) / 100
+ contextWindow = enrichment.Limit.Context
+ defaultMaxTokens = enrichment.Limit.Output
+ supportsImages = enrichment.Attachment
+ modelName = enrichment.Name
+
+ if enrichment.Reasoning {
+ reasoningLevels = []string{"low", "medium", "high"}
+ defaultReasoningEffort = "medium"
+ canReason = true
+ }
+ } else {
+ log.Printf("WARNING: No enrichment found for model %s, using defaults\n", zenModel.ID)
+ }
+
+ m := catwalk.Model{
+ ID: zenModel.ID,
+ Name: modelName,
+ CostPer1MIn: costPer1MIn,
+ CostPer1MOut: costPer1MOut,
+ CostPer1MInCached: costPer1MInCached,
+ CostPer1MOutCached: costPer1MOutCached,
+ ContextWindow: contextWindow,
+ DefaultMaxTokens: defaultMaxTokens,
+ SupportsImages: supportsImages,
+ CanReason: canReason,
+ ReasoningLevels: reasoningLevels,
+ DefaultReasoningEffort: defaultReasoningEffort,
+ }
+
+ zenProvider.Models = append(zenProvider.Models, m)
+ fmt.Printf("Added model %s (%s)\n", zenModel.ID, modelName)
+ }
+
+ slices.SortFunc(zenProvider.Models, func(a catwalk.Model, b catwalk.Model) int {
+ return strings.Compare(a.Name, b.Name)
+ })
+
+ data, err := json.MarshalIndent(zenProvider, "", " ")
+ if err != nil {
+ log.Fatal("Error marshaling provider:", err)
+ }
+ data = append(data, '\n')
+
+ if err := os.WriteFile("internal/providers/configs/opencode-zen.json", data, 0o600); err != nil {
+ log.Fatal("Error writing provider config:", err)
+ }
+
+ fmt.Printf("Generated opencode-zen.json with %d models\n", len(zenProvider.Models))
+}
@@ -0,0 +1,731 @@
+{
+ "name": "OpenCode Zen",
+ "id": "opencode-zen",
+ "api_key": "$OPENCODE_API_KEY",
+ "api_endpoint": "https://opencode.ai/zen/v1",
+ "type": "openai-compat",
+ "default_large_model_id": "minimax-m2.5-free",
+ "default_small_model_id": "minimax-m2.5-free",
+ "models": [
+ {
+ "id": "big-pickle",
+ "name": "Big Pickle",
+ "cost_per_1m_in": 0,
+ "cost_per_1m_out": 0,
+ "cost_per_1m_in_cached": 0,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 200000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "claude-3-5-haiku",
+ "name": "Claude Haiku 3.5",
+ "cost_per_1m_in": 0.8,
+ "cost_per_1m_out": 4,
+ "cost_per_1m_in_cached": 0.08,
+ "cost_per_1m_out_cached": 1,
+ "context_window": 200000,
+ "default_max_tokens": 8192,
+ "can_reason": false,
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-haiku-4-5",
+ "name": "Claude Haiku 4.5",
+ "cost_per_1m_in": 1,
+ "cost_per_1m_out": 5,
+ "cost_per_1m_in_cached": 0.1,
+ "cost_per_1m_out_cached": 1.25,
+ "context_window": 200000,
+ "default_max_tokens": 64000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-opus-4-1",
+ "name": "Claude Opus 4.1",
+ "cost_per_1m_in": 15,
+ "cost_per_1m_out": 75,
+ "cost_per_1m_in_cached": 1.5,
+ "cost_per_1m_out_cached": 18.75,
+ "context_window": 200000,
+ "default_max_tokens": 32000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-opus-4-5",
+ "name": "Claude Opus 4.5",
+ "cost_per_1m_in": 5,
+ "cost_per_1m_out": 25,
+ "cost_per_1m_in_cached": 0.5,
+ "cost_per_1m_out_cached": 6.25,
+ "context_window": 200000,
+ "default_max_tokens": 64000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-opus-4-6",
+ "name": "Claude Opus 4.6",
+ "cost_per_1m_in": 5,
+ "cost_per_1m_out": 25,
+ "cost_per_1m_in_cached": 0.5,
+ "cost_per_1m_out_cached": 6.25,
+ "context_window": 1000000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-sonnet-4",
+ "name": "Claude Sonnet 4",
+ "cost_per_1m_in": 3,
+ "cost_per_1m_out": 15,
+ "cost_per_1m_in_cached": 0.3,
+ "cost_per_1m_out_cached": 3.75,
+ "context_window": 1000000,
+ "default_max_tokens": 64000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-sonnet-4-5",
+ "name": "Claude Sonnet 4.5",
+ "cost_per_1m_in": 3,
+ "cost_per_1m_out": 15,
+ "cost_per_1m_in_cached": 0.3,
+ "cost_per_1m_out_cached": 3.75,
+ "context_window": 1000000,
+ "default_max_tokens": 64000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "claude-sonnet-4-6",
+ "name": "Claude Sonnet 4.6",
+ "cost_per_1m_in": 3,
+ "cost_per_1m_out": 15,
+ "cost_per_1m_in_cached": 0.3,
+ "cost_per_1m_out_cached": 3.75,
+ "context_window": 1000000,
+ "default_max_tokens": 64000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "glm-4.6",
+ "name": "GLM-4.6",
+ "cost_per_1m_in": 0.6,
+ "cost_per_1m_out": 2.2,
+ "cost_per_1m_in_cached": 0.1,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "glm-4.7",
+ "name": "GLM-4.7",
+ "cost_per_1m_in": 0.6,
+ "cost_per_1m_out": 2.2,
+ "cost_per_1m_in_cached": 0.1,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "glm-5",
+ "name": "GLM-5",
+ "cost_per_1m_in": 1,
+ "cost_per_1m_out": 3.2,
+ "cost_per_1m_in_cached": 0.2,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "glm-5.1",
+ "name": "GLM-5.1",
+ "cost_per_1m_in": 1.4,
+ "cost_per_1m_out": 4.4,
+ "cost_per_1m_in_cached": 0.26,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "gpt-5",
+ "name": "GPT-5",
+ "cost_per_1m_in": 1.07,
+ "cost_per_1m_out": 8.5,
+ "cost_per_1m_in_cached": 0.11,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5-codex",
+ "name": "GPT-5 Codex",
+ "cost_per_1m_in": 1.07,
+ "cost_per_1m_out": 8.5,
+ "cost_per_1m_in_cached": 0.11,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5-nano",
+ "name": "GPT-5 Nano",
+ "cost_per_1m_in": 0,
+ "cost_per_1m_out": 0,
+ "cost_per_1m_in_cached": 0,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.1",
+ "name": "GPT-5.1",
+ "cost_per_1m_in": 1.07,
+ "cost_per_1m_out": 8.5,
+ "cost_per_1m_in_cached": 0.11,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.1-codex",
+ "name": "GPT-5.1 Codex",
+ "cost_per_1m_in": 1.07,
+ "cost_per_1m_out": 8.5,
+ "cost_per_1m_in_cached": 0.11,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.1-codex-max",
+ "name": "GPT-5.1 Codex Max",
+ "cost_per_1m_in": 1.25,
+ "cost_per_1m_out": 10,
+ "cost_per_1m_in_cached": 0.13,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.1-codex-mini",
+ "name": "GPT-5.1 Codex Mini",
+ "cost_per_1m_in": 0.25,
+ "cost_per_1m_out": 2,
+ "cost_per_1m_in_cached": 0.03,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.2",
+ "name": "GPT-5.2",
+ "cost_per_1m_in": 1.75,
+ "cost_per_1m_out": 14,
+ "cost_per_1m_in_cached": 0.18,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.2-codex",
+ "name": "GPT-5.2 Codex",
+ "cost_per_1m_in": 1.75,
+ "cost_per_1m_out": 14,
+ "cost_per_1m_in_cached": 0.18,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.3-codex",
+ "name": "GPT-5.3 Codex",
+ "cost_per_1m_in": 1.75,
+ "cost_per_1m_out": 14,
+ "cost_per_1m_in_cached": 0.18,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.3-codex-spark",
+ "name": "GPT-5.3 Codex Spark",
+ "cost_per_1m_in": 1.75,
+ "cost_per_1m_out": 14,
+ "cost_per_1m_in_cached": 0.18,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 128000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "gpt-5.4",
+ "name": "GPT-5.4",
+ "cost_per_1m_in": 2.5,
+ "cost_per_1m_out": 15,
+ "cost_per_1m_in_cached": 0.25,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 1050000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.4-mini",
+ "name": "GPT-5.4 Mini",
+ "cost_per_1m_in": 0.75,
+ "cost_per_1m_out": 4.5,
+ "cost_per_1m_in_cached": 0.08,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.4-nano",
+ "name": "GPT-5.4 Nano",
+ "cost_per_1m_in": 0.2,
+ "cost_per_1m_out": 1.25,
+ "cost_per_1m_in_cached": 0.02,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 400000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gpt-5.4-pro",
+ "name": "GPT-5.4 Pro",
+ "cost_per_1m_in": 30,
+ "cost_per_1m_out": 180,
+ "cost_per_1m_in_cached": 30,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 1050000,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gemini-3-flash",
+ "name": "Gemini 3 Flash",
+ "cost_per_1m_in": 0.5,
+ "cost_per_1m_out": 3,
+ "cost_per_1m_in_cached": 0.05,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 1048576,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gemini-3-pro",
+ "name": "Gemini 3 Pro",
+ "cost_per_1m_in": 2,
+ "cost_per_1m_out": 12,
+ "cost_per_1m_in_cached": 0.2,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 1048576,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "gemini-3.1-pro",
+ "name": "Gemini 3.1 Pro Preview",
+ "cost_per_1m_in": 2,
+ "cost_per_1m_out": 12,
+ "cost_per_1m_in_cached": 0.2,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 1048576,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "kimi-k2",
+ "name": "Kimi K2",
+ "cost_per_1m_in": 0.4,
+ "cost_per_1m_out": 2.5,
+ "cost_per_1m_in_cached": 0.4,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 262144,
+ "default_max_tokens": 262144,
+ "can_reason": false,
+ "supports_attachments": false
+ },
+ {
+ "id": "kimi-k2-thinking",
+ "name": "Kimi K2 Thinking",
+ "cost_per_1m_in": 0.4,
+ "cost_per_1m_out": 2.5,
+ "cost_per_1m_in_cached": 0.4,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 262144,
+ "default_max_tokens": 262144,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "kimi-k2.5",
+ "name": "Kimi K2.5",
+ "cost_per_1m_in": 0.6,
+ "cost_per_1m_out": 3,
+ "cost_per_1m_in_cached": 0.08,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 262144,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "minimax-m2.1",
+ "name": "MiniMax M2.1",
+ "cost_per_1m_in": 0.3,
+ "cost_per_1m_out": 1.2,
+ "cost_per_1m_in_cached": 0.1,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "minimax-m2.5",
+ "name": "MiniMax M2.5",
+ "cost_per_1m_in": 0.3,
+ "cost_per_1m_out": 1.2,
+ "cost_per_1m_in_cached": 0.06,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "minimax-m2.5-free",
+ "name": "MiniMax M2.5 Free",
+ "cost_per_1m_in": 0,
+ "cost_per_1m_out": 0,
+ "cost_per_1m_in_cached": 0,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 131072,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "nemotron-3-super-free",
+ "name": "Nemotron 3 Super Free",
+ "cost_per_1m_in": 0,
+ "cost_per_1m_out": 0,
+ "cost_per_1m_in_cached": 0,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 204800,
+ "default_max_tokens": 128000,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": false
+ },
+ {
+ "id": "qwen3.5-plus",
+ "name": "Qwen3.5 Plus",
+ "cost_per_1m_in": 0.2,
+ "cost_per_1m_out": 1.2,
+ "cost_per_1m_in_cached": 0.02,
+ "cost_per_1m_out_cached": 0.25,
+ "context_window": 262144,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "qwen3.6-plus",
+ "name": "Qwen3.6 Plus",
+ "cost_per_1m_in": 0.5,
+ "cost_per_1m_out": 3,
+ "cost_per_1m_in_cached": 0.05,
+ "cost_per_1m_out_cached": 0.63,
+ "context_window": 262144,
+ "default_max_tokens": 65536,
+ "can_reason": true,
+ "reasoning_levels": [
+ "low",
+ "medium",
+ "high"
+ ],
+ "default_reasoning_effort": "medium",
+ "supports_attachments": true
+ },
+ {
+ "id": "trinity-large-preview-free",
+ "name": "Trinity Large Preview",
+ "cost_per_1m_in": 0,
+ "cost_per_1m_out": 0,
+ "cost_per_1m_in_cached": 0,
+ "cost_per_1m_out_cached": 0,
+ "context_window": 131072,
+ "default_max_tokens": 131072,
+ "can_reason": false,
+ "supports_attachments": false
+ }
+ ]
+}
@@ -99,6 +99,9 @@ var avianConfig []byte
//go:embed configs/neuralwatt.json
var neuralwattConfig []byte
+//go:embed configs/opencode-zen.json
+var openCodeZenConfig []byte
+
// ProviderFunc is a function that returns a Provider.
type ProviderFunc func() catwalk.Provider
@@ -133,6 +136,7 @@ var providerRegistry = []ProviderFunc{
avianProvider,
nebiusProvider,
neuralwattProvider,
+ openCodeZenProvider,
}
// GetAll returns all registered providers.
@@ -272,3 +276,7 @@ func avianProvider() catwalk.Provider {
func neuralwattProvider() catwalk.Provider {
return loadProviderFromConfig(neuralwattConfig)
}
+
+func openCodeZenProvider() catwalk.Provider {
+ return loadProviderFromConfig(openCodeZenConfig)
+}
@@ -50,6 +50,7 @@ const (
InferenceProviderAvian InferenceProvider = "avian"
InferenceProviderNebius InferenceProvider = "nebius"
InferenceProviderNeuralwatt InferenceProvider = "neuralwatt"
+ InferenceProviderOpenCodeZen InferenceProvider = "opencode-zen"
)
// Provider represents an AI provider configuration.
@@ -123,6 +124,7 @@ func KnownProviders() []InferenceProvider {
InferenceProviderAvian,
InferenceProviderNebius,
InferenceProviderNeuralwatt,
+ InferenceProviderOpenCodeZen,
}
}