M3 implementada e backlog atualizado

RI/agents/example_agent/llm_client.py

@@ -0,0 +1,41 @@
+"""LLM client factory (EP-13-T01).
+
+A real OpenAI-compatible client -- verified 2026-09-14 against OCI
+Generative AI's OpenAI-compatible endpoint (`meta.llama-3.3-70b-instruct`,
+real tool-calling confirmed), but works against any OpenAI-compatible
+provider (OpenAI itself, Anthropic's compatible surface, a self-hosted
+gateway) by construction: only `base_url`/`api_key`/`model` change.
+"""
+
+from __future__ import annotations
+
+import os
+from dataclasses import dataclass
+
+from openai import AsyncOpenAI
+
+
+class LLMConfigError(Exception):
+    pass
+
+
+@dataclass(frozen=True)
+class LLMConfig:
+    base_url: str
+    api_key: str
+    model: str
+
+
+def load_llm_config_from_env() -> LLMConfig:
+    base_url = os.environ.get("LLM_BASE_URL")
+    api_key = os.environ.get("LLM_API_KEY")
+    model = os.environ.get("LLM_MODEL")
+    if not base_url or not api_key or not model:
+        raise LLMConfigError(
+            "LLM_BASE_URL, LLM_API_KEY and LLM_MODEL must all be set (see RI/.env.example)"
+        )
+    return LLMConfig(base_url=base_url, api_key=api_key, model=model)
+
+
+def build_llm_client(config: LLMConfig) -> AsyncOpenAI:
+    return AsyncOpenAI(base_url=config.base_url, api_key=config.api_key)