chore(io.net): allow a few more models (#260)

Andrey Nering created 2 weeks ago

I tested models one-by-one. We're still excluding that don't behave well
enough for coding.

Change summary

cmd/ionet/main.go                     | 15 ++----
internal/providers/configs/ionet.json | 60 ++++++++++++++++++++++++++++
2 files changed, 66 insertions(+), 9 deletions(-)

Detailed changes

cmd/ionet/main.go

@@ -64,10 +64,7 @@ func main() {
 		}
 		modelIDSet[model.ID] = struct{}{}
 
-		if model.ContextWindow < 20000 {
-			continue
-		}
-		if !supportsTools(model.ID) {
+		if !shouldSkipModel(model.ID) {
 			continue
 		}
 
@@ -179,13 +176,13 @@ func supportsReasoningLevels(modelID string) bool {
 	)
 }
 
-// supportsTools determines if a model supports tool calling based on its ID.
-func supportsTools(modelID string) bool {
+// shouldSkipModel return if we should skip a model, if it's not good enough
+// for coding.
+func shouldSkipModel(modelID string) bool {
 	return !xstrings.ContainsAnyOf(
 		strings.ToLower(modelID),
-		"deepseek",
-		"llama-4",
+		"deepseek-r1",
+		"llama-3.2",
 		"mistral-nemo",
-		"qwen2.5",
 	)
 }

internal/providers/configs/ionet.json

@@ -7,6 +7,42 @@
   "default_large_model_id": "moonshotai/Kimi-K2.5",
   "default_small_model_id": "zai-org/GLM-4.7-Flash",
   "models": [
+    {
+      "id": "deepseek-ai/DeepSeek-V3.2",
+      "name": "DeepSeek: DeepSeek V3.2",
+      "cost_per_1m_in": 0.25,
+      "cost_per_1m_out": 0.38,
+      "cost_per_1m_in_cached": 0.125,
+      "cost_per_1m_out_cached": 0.5,
+      "context_window": 163840,
+      "default_max_tokens": 16384,
+      "can_reason": true,
+      "supports_attachments": false
+    },
+    {
+      "id": "deepseek-ai/DeepSeek-V4-Flash",
+      "name": "DeepSeek: DeepSeek V4 Flash",
+      "cost_per_1m_in": 1.55,
+      "cost_per_1m_out": 2.28,
+      "cost_per_1m_in_cached": 0.38,
+      "cost_per_1m_out_cached": 0,
+      "context_window": 65000,
+      "default_max_tokens": 6500,
+      "can_reason": true,
+      "supports_attachments": false
+    },
+    {
+      "id": "deepseek-ai/DeepSeek-V4-Pro",
+      "name": "DeepSeek: DeepSeek V4 Pro",
+      "cost_per_1m_in": 4.45,
+      "cost_per_1m_out": 5.5,
+      "cost_per_1m_in_cached": 0.35,
+      "cost_per_1m_out_cached": 0,
+      "context_window": 800000,
+      "default_max_tokens": 80000,
+      "can_reason": true,
+      "supports_attachments": false
+    },
     {
       "id": "google/gemma-4-26b-a4b-it",
       "name": "Google: Gemma 4 26B A4B",
@@ -31,6 +67,18 @@
       "can_reason": false,
       "supports_attachments": false
     },
+    {
+      "id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
+      "name": "Meta-Llama: Llama 4 Maverick 17B 128E Instruct FP8",
+      "cost_per_1m_in": 0.15,
+      "cost_per_1m_out": 0.6,
+      "cost_per_1m_in_cached": 0.075,
+      "cost_per_1m_out_cached": 0.3,
+      "context_window": 430000,
+      "default_max_tokens": 43000,
+      "can_reason": true,
+      "supports_attachments": true
+    },
     {
       "id": "meta-llama/Llama-3.3-70B-Instruct",
       "name": "Meta: Llama 3.3 70B Instruct",
@@ -151,6 +199,18 @@
       "default_reasoning_effort": "medium",
       "supports_attachments": false
     },
+    {
+      "id": "Qwen/Qwen2.5-VL-32B-Instruct",
+      "name": "Qwen: Qwen2.5 VL 32B Instruct",
+      "cost_per_1m_in": 0.05,
+      "cost_per_1m_out": 0.22,
+      "cost_per_1m_in_cached": 0.025,
+      "cost_per_1m_out_cached": 0.1,
+      "context_window": 32000,
+      "default_max_tokens": 3200,
+      "can_reason": false,
+      "supports_attachments": true
+    },
     {
       "id": "Qwen/Qwen3-Next-80B-A3B-Instruct",
       "name": "Qwen: Qwen3 Next 80B A3B Instruct",