Create synthesis_chain.py

AI_Agent/chains/synthesis_chain.py

@@ -0,0 +1,15 @@
+# AI_Agent/chains/synthesis_chain.py
+class SynthesisChain:
+    def __init__(self, llm_adapter):
+        self.llm = llm_adapter
+
+    async def run(self, prompt, reasoning_text, contexts):
+        synth_prompt = (
+            "You are a synthesis assistant. Combine reasoning and contexts to produce a concise final answer.\n\n"
+            f"User prompt:\n{prompt}\n\n"
+            f"Reasoning:\n{reasoning_text}\n\n"
+            f"Contexts:\n" + "\n".join([f"- {c}" for c in contexts]) +
+            "\n\nFinal answer:"
+        )
+        out = await self.llm.generate(synth_prompt)
+        return {"answer": out["text"], "raw": out.get("raw")}