fix(agent): URLs OpenAI-compatibles validees pour les fournisseurs LLM

Cohere -> /compatibility/v1, Google Gemini -> /v1beta/openai, Perplexity -> host racine, Chutes -> llm.chutes.ai/v1, SenseNova -> compatible-mode/v1. Mise a jour des modeles par defaut (xAI grok-4.6, Fireworks deepseek-v4-pro-0813, Cohere command-a-plus).

Retrait de LTX Studio (aucune API chat-completions) et MemTensor/MemOS (API memoire non OpenAI-compatible, auth Token + /chat). Google utilise desormais l'auth Bearer pour lister les modeles. Test de non-regression ajoute.

app/config.py

@@ -83,8 +83,7 @@ class Settings(BaseSettings):
                                        #  nvidia, together, perplexity, xai,
                                        #  qwencloud, minimax, morph, fireworks,
                                        #  cerebras, sambanova, chutes, xiaomi,
-                                       #  ltx, sealion, sensenova, memtensor,
+                                       #  sealion, sensenova, ollama, offline)
-                                       #  ollama, offline)
     llm_model: str = "gpt-4o"
     llm_api_key: str = ""
     llm_api_base: str = ""             # custom base URL (Ollama, OpenRouter, ...)

app/services/llm_client.py

@@ -7,9 +7,9 @@ into guarded internal actions.
 Supported providers (OpenAI-compatible chat-completions JSON response):
   openai, anthropic, mistral, cohere, google, groq, deepseek, openrouter,
   nvidia, together, perplexity, xai, qwencloud, minimax, morph, fireworks,
-  cerebras, sambanova, chutes, xiaomi, ltx, sealion, sensenova, memtensor,
+  cerebras, sambanova, chutes, xiaomi, sealion, sensenova,
-  ollama (local, no key). Anthropic/Google/Cohere expose an OpenAI-compatible
+  ollama (local, no key). Anthropic, Google (`/v1beta/openai`) and Cohere
-  surface at their configured base URL.
+  (`/compatibility/v1`) expose an OpenAI-compatible surface at their base URL.
 
 When no API key is configured (or provider == "offline") the client falls back
 to a deterministic, dependency-free *mock planner*. This keeps the whole agent
@@ -37,28 +37,26 @@ PROVIDERS = {
     "openai":     ("https://api.openai.com/v1",      "gpt-4o"),
     "anthropic":  ("https://api.anthropic.com/v1",   "claude-opus-4-8"),
     "mistral":    ("https://api.mistral.ai/v1",      "mistral-large-latest"),
-    "cohere":     ("https://api.cohere.com/v2",      "command-r-plus"),
+    "cohere":     ("https://api.cohere.ai/compatibility/v1", "command-a-plus-05-2026"),
-    "google":     ("https://generativelanguage.googleapis.com/v1beta", "gemini-2.0-pro"),
+    "google":     ("https://generativelanguage.googleapis.com/v1beta/openai", "gemini-2.0-flash"),
     "groq":       ("https://api.groq.com/openai/v1", "llama-3.3-70b-versatile"),
     "deepseek":   ("https://api.deepseek.com/v1",    "deepseek-chat"),
     "openrouter": ("https://openrouter.ai/api/v1",   "meta-llama/llama-3.3-70b-instruct"),
     "nvidia":     ("https://integrate.api.nvidia.com/v1", "nvidia/nemotron-3-super-120b-a12b"),
     "together":   ("https://api.together.xyz/v1",    "meta-llama/Llama-3.3-70B-Instruct-Turbo"),
-    "perplexity": ("https://api.perplexity.ai/v1",   "sonar-pro"),
+    "perplexity": ("https://api.perplexity.ai",      "sonar-pro"),
-    "xai":        ("https://api.x.ai/v1",            "grok-2-latest"),
+    "xai":        ("https://api.x.ai/v1",            "grok-4.6"),
     "qwencloud":  ("https://dashscope-intl.aliyuncs.com/compatible-mode/v1", "qwen-max"),
     "minimax":    ("https://api.minimax.chat/v1",    "MiniMax-Text-01"),
     "morph":      ("https://api.morphllm.com/v1",    "morph-v3-large"),
     "fireworks":  ("https://api.fireworks.ai/inference/v1",
-                   "accounts/fireworks/models/llama-v3p3-70b-instruct"),
+                   "accounts/fireworks/models/deepseek-v4-pro-0813"),
     "cerebras":   ("https://api.cerebras.ai/v1",     "llama-3.3-70b"),
     "sambanova":  ("https://api.sambanova.ai/v1",    "Meta-Llama-3.3-70B-Instruct"),
-    "chutes":     ("https://api.chutes.ai/v1",       "deepseek-ai/DeepSeek-V3"),
+    "chutes":     ("https://llm.chutes.ai/v1",       "deepseek-ai/DeepSeek-V3"),
     "xiaomi":     ("https://api.xiaomimimo.com/v1",  "mimo-7b-rl"),
-    "ltx":        ("https://api.ltx.io/v1",          "ltx-video"),
     "sealion":    ("https://api.sea-lion.ai/v1",     "aisingapore/Llama-SEA-LION-v3-70B-IT"),
-    "sensenova":  ("https://token.sensenova.cn/v1",  "SenseChat-5"),
+    "sensenova":  ("https://api.sensenova.cn/compatible-mode/v1", "SenseChat-5"),
-    "memtensor":  ("https://memos.memtensor.cn/api/openmem/v1", "memos-chat"),
     "ollama":     ("http://localhost:11434/v1",      "llama3.1"),
     "offline":    (None, None),
 }
@@ -85,10 +83,8 @@ PROVIDER_LABELS: dict[str, str] = {
     "sambanova":  "SambaNova",
     "chutes":     "Chutes AI",
     "xiaomi":     "Xiaomi (MiMo)",
-    "ltx":        "LTX Studio",
     "sealion":    "SEA-LION",
     "sensenova":  "SenseNova",
-    "memtensor":  "MemTensor (MemOS)",
     "ollama":     "Ollama (local)",
     "offline":    "Hors-ligne (mock)",
 }
@@ -99,8 +95,8 @@ PROVIDER_MODELS: dict[str, list[str]] = {
     "anthropic":  ["claude-opus-4-8", "claude-sonnet-4-5", "claude-3-5-sonnet", "claude-haiku-4-5"],
     "mistral":    ["mistral-large-latest", "mistral-medium-latest", "mistral-small-latest",
                    "codestral-latest", "open-mistral-nemo", "pixtral-large-latest"],
-    "cohere":     ["command-r-plus", "command-r", "command-light", "command-a"],
+    "cohere":     ["command-a-plus-05-2026", "command-r-plus", "command-r", "command-a-03-2025"],
-    "google":     ["gemini-2.0-pro", "gemini-2.0-flash", "gemini-1.5-pro", "gemini-1.5-flash"],
+    "google":     ["gemini-2.0-flash", "gemini-2.0-flash-lite", "gemini-1.5-pro", "gemini-1.5-flash"],
     "groq":       ["llama-3.3-70b-versatile", "llama-3.1-8b-instant",
                    "mixtral-8x7b-32768", "gemma2-9b-it"],
     "deepseek":   ["deepseek-chat", "deepseek-reasoner"],
@@ -113,24 +109,26 @@ PROVIDER_MODELS: dict[str, list[str]] = {
                    "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
                    "Qwen/Qwen2.5-72B-Instruct-Turbo", "mistralai/Mixtral-8x7B-Instruct-v0.1"],
     "perplexity": ["sonar-pro", "sonar", "sonar-reasoning", "sonar-deep-research"],
-    "xai":        ["grok-2-latest", "grok-2", "grok-beta", "grok-3"],
+    "xai":        ["grok-4.6", "grok-4.5", "grok-4.3", "grok-4.20-0309-reasoning",
+                   "grok-build-0.1"],
     "qwencloud":  ["qwen-max", "qwen-plus", "qwen-turbo", "qwen-long"],
     "minimax":    ["MiniMax-Text-01", "abab6.5s-chat", "abab6.5-chat"],
     "morph":      ["morph-v3-large", "morph-v3-fast"],
-    "fireworks":  ["accounts/fireworks/models/llama-v3p3-70b-instruct",
+    "fireworks":  ["accounts/fireworks/models/deepseek-v4-pro-0813",
-                   "accounts/fireworks/models/mixtral-8x22b-instruct",
+                   "accounts/fireworks/models/kimi-k2p6",
-                   "accounts/fireworks/models/qwen2p5-72b-instruct"],
+                   "accounts/fireworks/models/glm-5p2",
+                   "accounts/fireworks/models/minimax-m3",
+                   "accounts/fireworks/models/gpt-oss-120b",
+                   "accounts/fireworks/models/qwen3-8b"],
     "cerebras":   ["llama-3.3-70b", "llama3.1-8b", "llama-3.1-70b"],
     "sambanova":  ["Meta-Llama-3.3-70B-Instruct", "Meta-Llama-3.1-405B-Instruct",
                    "Qwen2.5-72B-Instruct"],
     "chutes":     ["deepseek-ai/DeepSeek-V3", "deepseek-ai/DeepSeek-R1",
                    "Qwen/Qwen2.5-72B-Instruct"],
     "xiaomi":     ["mimo-7b-rl", "mimo-7b"],
-    "ltx":        ["ltx-video", "ltx-video-2"],
     "sealion":    ["aisingapore/Llama-SEA-LION-v3-70B-IT",
                    "aisingapore/Gemma-SEA-LION-v3-9B-IT"],
     "sensenova":  ["SenseChat-5", "SenseChat-5-Cantonese", "SenseChat-Turbo"],
-    "memtensor":  ["memos-chat"],
     "ollama":     ["llama3.1", "llama3", "mistral", "qwen2.5", "gemma2", "mixtral"],
     "offline":    [],
 }

app/services/llm_config.py

@@ -296,8 +296,9 @@ async def fetch_provider_models(provider: str, *, api_key: str = "",
                                 api_base: str = "", timeout: int = 20) -> list[str]:
     """Fetch the live model list from a provider (best-effort, no mock).
 
-    OpenAI-compatible providers use `GET {base}/models` with a Bearer token;
+    OpenAI-compatible providers (including Google's `/openai` surface and
-    Anthropic uses `x-api-key` + `anthropic-version`; Gemini an `x-goog-api-key`.
+    Cohere's compatibility API) use `GET {base}/models` with a Bearer token;
+    Anthropic's native model listing uses `x-api-key` + `anthropic-version`.
     Returns a de-duplicated list capped at 300 models.
     """
     import httpx
@@ -311,8 +312,6 @@ async def fetch_provider_models(provider: str, *, api_key: str = "",
     headers: dict = {}
     if provider == "anthropic":
         headers = {"x-api-key": api_key, "anthropic-version": "2023-06-01"}
-    elif provider == "google":
-        headers = {"x-goog-api-key": api_key}
     elif api_key:
         headers = {"Authorization": f"Bearer {api_key}"}
 

tests/test_agent.py

@@ -88,6 +88,24 @@ def test_llm_client_providers_listed(client):
         assert name in PROVIDERS
 
 
+def test_llm_client_openai_compatible_bases(client):
+    """Providers that need an OpenAI-compatible surface must point at it.
+
+    Anthropic/Google/Cohere native APIs are not chat-completions endpoints:
+    the client always speaks `/chat/completions` with a Bearer token, so the
+    base URLs must target the compatibility surfaces (validated live).
+    """
+    from app.services.llm_client import PROVIDERS
+    assert PROVIDERS["cohere"][0] == "https://api.cohere.ai/compatibility/v1"
+    assert PROVIDERS["google"][0] == (
+        "https://generativelanguage.googleapis.com/v1beta/openai")
+    # Perplexity serves /chat/completions at the host root (no /v1 prefix).
+    assert PROVIDERS["perplexity"][0] == "https://api.perplexity.ai"
+    # Chutes' OpenAI-compatible inference host.
+    assert PROVIDERS["chutes"][0] == "https://llm.chutes.ai/v1"
+    assert PROVIDERS["sensenova"][0].endswith("/compatible-mode/v1")
+
+
 def test_llm_client_offline_no_credentials(client):
     from app.services.llm_client import LLMClient
     llm = LLMClient(provider="openai", api_key="")