feat(llm): refresh the model lists to each provider's current lineup

- xAI: Grok 4.6 and 4.5; DeepSeek: deepseek-flash (V4.1); Qwen: the 3.8 series; Mistral: the current dated snapshots
- every provider can name a model the picker does not list
- retired IDs stay valid, so existing configs run without a warning

tests/test_model_validation.py

@@ -64,3 +64,37 @@ def test_legacy_ids_stay_valid_without_being_offered():
         for model in ids:
             assert validate_model(provider, model), model
             assert model not in offered, f"{model} is legacy but still in the picker"
+
+
+@pytest.mark.unit
+def test_an_explicit_alias_of_a_listed_model_is_known():
+    """gpt-5.6 is served under its own name and as gpt-5.6-sol; naming the
+    explicit one should not warn that the model is unknown."""
+    from tradingagents.llm_clients.validators import validate_model
+
+    assert validate_model("openai", "gpt-5.6-sol")
+
+
+@pytest.mark.unit
+@pytest.mark.parametrize("provider", ["openai", "anthropic", "google", "xai"])
+@pytest.mark.parametrize("mode", ["quick", "deep"])
+def test_every_provider_lets_you_name_your_own_model(provider, mode):
+    """The docs tell users to name any model their provider serves; the picker
+    has to offer that too, or a new model is unreachable until we ship a list."""
+    from tradingagents.llm_clients.model_catalog import get_model_options
+
+    assert "custom" in [value for _, value in get_model_options(provider, mode)]
+
+
+@pytest.mark.unit
+@pytest.mark.parametrize("provider, model", [
+    ("xai", "grok-4.20-0309-reasoning"),
+    ("deepseek", "deepseek-v4-flash"),
+    ("qwen", "qwen3.7-max"),
+])
+def test_a_retired_model_id_still_runs_without_a_warning(provider, model):
+    """A config written against an earlier release keeps working: the provider
+    still serves these, they are just no longer offered in the picker."""
+    from tradingagents.llm_clients.validators import validate_model
+
+    assert validate_model(provider, model)

tradingagents/llm_clients/model_catalog.py

@@ -45,14 +45,12 @@ _GLM_MODELS: dict[str, list[ModelOption]] = {
 # "Custom model ID".
 _QWEN_MODELS: dict[str, list[ModelOption]] = {
     "quick": [
-        ("Qwen 3.7 Plus - Latest, balanced speed/cost", "qwen3.7-plus"),
+        ("Qwen 3.8 Flash - Latest fast model, 1M ctx", "qwen3.8-flash"),
-        ("Qwen 3.6 Plus - Previous-gen balanced", "qwen3.6-plus"),
         ("Custom model ID", "custom"),
     ],
     "deep": [
-        ("Qwen 3.7 Max - Latest flagship, most intelligent, 1M ctx", "qwen3.7-max"),
+        ("Qwen 3.8 Max - Latest flagship", "qwen3.8-max"),
-        ("Qwen 3.6 Max - Previous-gen flagship", "qwen3.6-max"),
+        ("Qwen 3.8 Flash - Fast alternative, 1M ctx", "qwen3.8-flash"),
-        ("Qwen 3.7 Plus - Balanced alternative", "qwen3.7-plus"),
         ("Custom model ID", "custom"),
     ],
 }
@@ -101,23 +99,27 @@ MODEL_OPTIONS: ProviderModeOptions = {
             ("GPT-5.6 Luna - Fast, cost-efficient frontier", "gpt-5.6-luna"),
             ("GPT-5.6 Terra - Balances intelligence and cost", "gpt-5.6-terra"),
             ("GPT-5.4 Mini - Fast, strong coding and tool use", "gpt-5.4-mini"),
+            ("Custom model ID", "custom"),
         ],
         "deep": [
             ("GPT-6 Astra - Latest frontier reasoning", "gpt-6-astra"),
             ("GPT-5.6 - Frontier reasoning (Sol)", "gpt-5.6"),
             ("GPT-5.6 Terra - Balances intelligence and cost", "gpt-5.6-terra"),
             ("GPT-5.5 - Previous-gen frontier, 1M context", "gpt-5.5"),
+            ("Custom model ID", "custom"),
         ],
     },
     "anthropic": {
         "quick": [
             ("Claude Sonnet 5 - Best speed and intelligence balance", "claude-sonnet-5"),
             ("Claude Haiku 4.5 - Fastest with near-frontier intelligence", "claude-haiku-4-5"),
+            ("Custom model ID", "custom"),
         ],
         "deep": [
             ("Claude Opus 5 - Frontier agentic and enterprise work", "claude-opus-5"),
             ("Claude Fable 5.1 - Most capable, demanding long-horizon reasoning", "claude-fable-5-1"),
             ("Claude Sonnet 5 - Near-frontier intelligence at Sonnet cost", "claude-sonnet-5"),
+            ("Custom model ID", "custom"),
         ],
     },
     "google": {
@@ -125,23 +127,26 @@ MODEL_OPTIONS: ProviderModeOptions = {
             ("Gemini 3.8 Flash - Most capable Flash", "gemini-3.8-flash"),
             ("Gemini 3.5 Flash Lite - Fast and cost-efficient", "gemini-3.5-flash-lite"),
             ("Gemini 3.1 Flash Lite - Most cost-efficient", "gemini-3.1-flash-lite"),
+            ("Custom model ID", "custom"),
         ],
         "deep": [
             ("Gemini 3.8 Flash - Most capable Flash, 1M context", "gemini-3.8-flash"),
             ("Gemini 3.1 Pro - Reasoning-first, complex workflows (preview)", "gemini-3.1-pro-preview"),
             ("Gemini 3.5 Flash - Previous Flash, strong agentic + coding", "gemini-3.5-flash"),
+            ("Custom model ID", "custom"),
         ],
     },
     "xai": {
         "quick": [
-            ("Grok 4.3 - Latest flagship, fast with built-in reasoning", "grok-4.3"),
+            ("Grok 4.6 - Latest flagship, fastest, 500K ctx", "grok-4.6"),
-            ("Grok 4.20 (Non-Reasoning) - Speed-optimized", "grok-4.20-0309-non-reasoning"),
             ("Grok Build 0.1 - Coding-specialized, 256K ctx", "grok-build-0.1"),
+            ("Custom model ID", "custom"),
         ],
         "deep": [
-            ("Grok 4.3 - Latest flagship, built-in reasoning, 1M ctx", "grok-4.3"),
+            ("Grok 4.6 - Latest flagship, 500K ctx", "grok-4.6"),
-            ("Grok 4.20 (Reasoning) - Previous-gen reasoning", "grok-4.20-0309-reasoning"),
+            ("Grok 4.5 - Previous flagship, coding and agentic", "grok-4.5"),
-            ("Grok 4.20 Multi-Agent - Multi-agent reasoning", "grok-4.20-multi-agent-0309"),
+            ("Grok 4.3 - Older generation, 1M ctx", "grok-4.3"),
+            ("Custom model ID", "custom"),
         ],
     },
     # DeepSeek: the deepseek-chat / deepseek-reasoner aliases are deprecated
@@ -150,12 +155,12 @@ MODEL_OPTIONS: ProviderModeOptions = {
     # handles the reasoning_content round-trip).
     "deepseek": {
         "quick": [
-            ("DeepSeek V4 Flash - Latest fast model, thinking + non-thinking", "deepseek-v4-flash"),
+            ("DeepSeek Flash - V4.1 Flash, fast, 1M ctx", "deepseek-flash"),
             ("Custom model ID", "custom"),
         ],
         "deep": [
-            ("DeepSeek V4 Pro - Latest flagship", "deepseek-v4-pro"),
+            ("DeepSeek V4 Pro - Flagship", "deepseek-v4-pro"),
-            ("DeepSeek V4 Flash - Fast, supports thinking", "deepseek-v4-flash"),
+            ("DeepSeek Flash - V4.1 Flash, fast, 1M ctx", "deepseek-flash"),
             ("Custom model ID", "custom"),
         ],
     },
@@ -201,7 +206,17 @@ MODEL_OPTIONS: ProviderModeOptions = {
     # changing) models — offer "Custom model ID" rather than a list that goes
     # stale. The endpoint + key are wired by the provider; the user picks the
     # model their account has access to.
-    "mistral": _CUSTOM_ONLY,
+    "mistral": {
+        "quick": [
+            ("Mistral Small 4 - Fast, 262K ctx", "mistral-small-2603"),
+            ("Custom model ID", "custom"),
+        ],
+        "deep": [
+            ("Mistral Medium 3.5 - 262K ctx", "mistral-medium-2604"),
+            ("Mistral Small 4 - Fast, 262K ctx", "mistral-small-2603"),
+            ("Custom model ID", "custom"),
+        ],
+    },
     "groq": _CUSTOM_ONLY,
     "nvidia": _CUSTOM_ONLY,
     # Bedrock model IDs / cross-region inference profile IDs are user-specified.
@@ -214,11 +229,15 @@ def get_model_options(provider: str, mode: str) -> list[ModelOption]:
     return MODEL_OPTIONS[provider.lower()][mode]
 
 
-# Still served by the provider but no longer offered in the picker. Known to
+# Served by the provider but not offered in the picker: models retired from the
-# validation so existing configs that name them run without an unknown-model
+# menu, and the explicit ID of a model listed under a shorter name. Known to
-# warning.
+# validation so a config naming one runs without an unknown-model warning.
 LEGACY_MODELS: dict[str, list[str]] = {
-    "openai": ["gpt-5.4"],
+    "openai": ["gpt-5.4", "gpt-5.6-sol"],
+    "xai": ["grok-4.20-0309-reasoning", "grok-4.20-0309-non-reasoning",
+            "grok-4.20-multi-agent-0309"],
+    "deepseek": ["deepseek-v4-flash"],
+    "qwen": ["qwen3.7-max", "qwen3.7-plus", "qwen3.6-max", "qwen3.6-plus"],
     "anthropic": ["claude-fable-5", "claude-opus-4-8", "claude-opus-4-7"],
 }