Strix LLM Documentation and Config Changes (#315)

* feat: add to readme new keys

* feat: shoutout strix models, docs

* fix: mypy error

* fix: base api

* docs: update quickstart and models

* fixes: changes to docs

uniform api_key variable naming

* test: git commit hook

* nevermind it was nothing

* docs: Update default model to claude-sonnet-4.6 and improve Strix Router docs

- Replace gpt-5 and opus-4.6 defaults with claude-sonnet-4.6 across all docs and code
- Rewrite Strix Router (models.mdx) page with clearer structure and messaging
- Add Strix Router as recommended option in overview.mdx and quickstart prerequisites
- Update stale Claude 4.5 references to 4.6 in anthropic.mdx, openrouter.mdx, bug_report.md
- Fix install.sh links to point to models.strix.ai and correct docs URLs
- Update error message examples in main.py to use claude-sonnet-4-6

---------

Co-authored-by: 0xallam <ahmed39652003@gmail.com>

strix/llm/config.py

@@ -1,4 +1,5 @@
 from strix.config import Config
+from strix.config.config import resolve_llm_config
 
 
 class LLMConfig:
@@ -10,7 +11,8 @@ class LLMConfig:
         timeout: int | None = None,
         scan_mode: str = "deep",
     ):
-        self.model_name = model_name or Config.get("strix_llm")
+        resolved_model, self.api_key, self.api_base = resolve_llm_config()
+        self.model_name = model_name or resolved_model
 
         if not self.model_name:
             raise ValueError("STRIX_LLM environment variable must be set and not empty")

strix/llm/dedupe.py

@@ -5,7 +5,7 @@ from typing import Any
 
 import litellm
 
-from strix.config import Config
+from strix.config.config import resolve_llm_config
 
 
 logger = logging.getLogger(__name__)
@@ -155,14 +155,7 @@ def check_duplicate(
 
         comparison_data = {"candidate": candidate_cleaned, "existing_reports": existing_cleaned}
 
-        model_name = Config.get("strix_llm")
-        api_key = Config.get("llm_api_key")
-        api_base = (
-            Config.get("llm_api_base")
-            or Config.get("openai_api_base")
-            or Config.get("litellm_base_url")
-            or Config.get("ollama_api_base")
-        )
+        model_name, api_key, api_base = resolve_llm_config()
 
         messages = [
             {"role": "system", "content": DEDUPE_SYSTEM_PROMPT},

strix/llm/llm.py

@@ -200,15 +200,10 @@ class LLM:
             "stream_options": {"include_usage": True},
         }
 
-        if api_key := Config.get("llm_api_key"):
-            args["api_key"] = api_key
-        if api_base := (
-            Config.get("llm_api_base")
-            or Config.get("openai_api_base")
-            or Config.get("litellm_base_url")
-            or Config.get("ollama_api_base")
-        ):
-            args["api_base"] = api_base
+        if self.config.api_key:
+            args["api_key"] = self.config.api_key
+        if self.config.api_base:
+            args["api_base"] = self.config.api_base
         if self._supports_reasoning():
             args["reasoning_effort"] = self._reasoning_effort
 

strix/llm/memory_compressor.py

@@ -3,7 +3,7 @@ from typing import Any
 
 import litellm
 
-from strix.config import Config
+from strix.config.config import Config, resolve_llm_config
 
 
 logger = logging.getLogger(__name__)
@@ -104,13 +104,7 @@ def _summarize_messages(
     conversation = "\n".join(formatted)
     prompt = SUMMARY_PROMPT_TEMPLATE.format(conversation=conversation)
 
-    api_key = Config.get("llm_api_key")
-    api_base = (
-        Config.get("llm_api_base")
-        or Config.get("openai_api_base")
-        or Config.get("litellm_base_url")
-        or Config.get("ollama_api_base")
-    )
+    _, api_key, api_base = resolve_llm_config()
 
     try:
         completion_args: dict[str, Any] = {