From ec88053a8e424ff099e209071027401399834cec Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Mon, 22 Jun 2026 08:02:01 +0000
Subject: [PATCH] chore: sync workflow templates from Workflows repo

Automated sync from stranske/Workflows
Template hash: 1243c652ce3c

Changes synced from sync-manifest.yml
---
 scripts/langchain/progress_reviewer.py |  6 ++--
 tools/llm_provider.py                  | 50 +++++++++++++++++---------
 2 files changed, 37 insertions(+), 19 deletions(-)

diff --git a/scripts/langchain/progress_reviewer.py b/scripts/langchain/progress_reviewer.py
index ec7471f5..32eca9ef 100755
--- a/scripts/langchain/progress_reviewer.py
+++ b/scripts/langchain/progress_reviewer.py
@@ -427,11 +427,11 @@ def review_progress_with_llm(
         rounds_without_completion,
     )
     try:
-        from tools.langchain_client import build_chat_client
+        from scripts.langchain._llm_client import build_client
     except ImportError:
-        build_chat_client = None
+        build_client = None
 
-    resolved = build_chat_client(model=model) if build_chat_client else None
+    resolved = build_client(model=model) if build_client else None
     if not resolved:
         score, aligned, unaligned = heuristic_alignment_check(
             acceptance_criteria, recent_commits, files_changed
diff --git a/tools/llm_provider.py b/tools/llm_provider.py
index 7fb0603a..fd9cbc7b 100644
--- a/tools/llm_provider.py
+++ b/tools/llm_provider.py
@@ -42,6 +42,14 @@
 SHORT_ANALYSIS_CONFIDENCE_CAP = 0.4
 
 
+def _configured_langchain_model(provider: str, *, fallback: str) -> str:
+    try:
+        from tools.llm_registry import configured_model_for_provider
+    except ImportError:
+        return fallback
+    return configured_model_for_provider(provider, fallback=fallback) or fallback
+
+
 def _setup_langsmith_tracing() -> bool:
     """
     Configure LangSmith tracing if API key is available.
@@ -585,16 +593,17 @@ def supports_quality_context(self) -> bool:
     def _get_client(self):
         """Get LangChain ChatOpenAI client."""
         try:
-            from langchain_openai import ChatOpenAI
+            from tools.langchain_client import build_chat_client
         except ImportError:
-            logger.warning("langchain_openai not installed")
+            logger.warning("LangChain client helper not available")
             return None
 
-        return ChatOpenAI(
-            model="gpt-5.1-codex",  # Purpose-built for analyzing Codex coding sessions
-            api_key=os.environ.get("OPENAI_API_KEY"),
-            temperature=0.1,
-        )
+        model_name = _configured_langchain_model("openai", fallback="gpt-5.1-codex")
+        resolved = build_chat_client(provider="openai", model=model_name)
+        if resolved:
+            self._model_name = resolved.model
+            return resolved.client
+        return None
 
     def analyze_completion(
         self,
@@ -626,7 +635,11 @@ def analyze_completion(
                 confidence=result.confidence,
                 reasoning=result.reasoning,
                 provider_used=self.name,
-                model_name="gpt-5.1-codex",  # Actual model used by OpenAIProvider
+                model_name=getattr(
+                    self,
+                    "_model_name",
+                    _configured_langchain_model("openai", fallback="gpt-5.1-codex"),
+                ),
                 raw_confidence=result.raw_confidence,
                 confidence_adjusted=result.confidence_adjusted,
                 quality_warnings=result.quality_warnings,
@@ -651,16 +664,17 @@ def supports_quality_context(self) -> bool:
 
     def _get_client(self):
         try:
-            from langchain_anthropic import ChatAnthropic
+            from tools.langchain_client import build_chat_client
         except ImportError:
-            logger.warning("langchain_anthropic not installed")
+            logger.warning("LangChain client helper not available")
             return None
 
-        return ChatAnthropic(
-            model="claude-sonnet-4-5-20250929",
-            anthropic_api_key=os.environ.get(ANTHROPIC_API_KEY_ENV),
-            temperature=0.1,
-        )
+        model_name = _configured_langchain_model("anthropic", fallback="claude-sonnet-4-5-20250929")
+        resolved = build_chat_client(provider="anthropic", model=model_name)
+        if resolved:
+            self._model_name = resolved.model
+            return resolved.client
+        return None
 
     def analyze_completion(
         self,
@@ -702,7 +716,11 @@ def analyze_completion(
                 confidence=result.confidence,
                 reasoning=result.reasoning,
                 provider_used=self.name,
-                model_name="claude-sonnet-4-5-20250929",
+                model_name=getattr(
+                    self,
+                    "_model_name",
+                    _configured_langchain_model("anthropic", fallback="claude-sonnet-4-5-20250929"),
+                ),
                 raw_confidence=result.raw_confidence,
                 confidence_adjusted=result.confidence_adjusted,
                 quality_warnings=result.quality_warnings,