add claude

AGENTS.md

@@ -0,0 +1,5 @@
+
+
+# Agent Rules <!-- tessl-managed -->
+
+@.tessl/RULES.md follow the [instructions](.tessl/RULES.md)

django/aiservice/.env.example

@@ -8,3 +8,5 @@ AZURE_API_BASE=
 # To run in local mode, set OPENAI_API_TYPE anything other than azure
 OPENAI_API_TYPE=
 OPENAI_API_KEY=
+AZURE_ANTHROPIC_API_KEY=
+AZURE_ANTHROPIC_ENDPOINT=https://codeflash-anthropic-resource.openai.azure.com/anthropic

django/aiservice/aiservice/env_specific.py

@@ -54,11 +54,18 @@ def create_llm_client(model_type: Literal["openai", "anthropic", "google"]) -> A
         os.environ.get("ANTHROPIC_API_KEY"),
         os.environ.get("GEMINI_API_KEY"),
     )
+    # Azure Anthropic endpoint configuration
+    azure_anthropic_api_key = os.environ.get("AZURE_ANTHROPIC_API_KEY")
+    azure_anthropic_endpoint = os.environ.get("AZURE_ANTHROPIC_ENDPOINT", "https://codeflash-anthropic-resource.openai.azure.com/anthropic")
+
     if model_type == "openai" and azure_api_key and openai_api_type == "azure" and openai_api_base_url:
         # check for azure first
         return AsyncOpenAI(api_key=azure_api_key, base_url=openai_api_base_url)
     if model_type == "openai" and openai_key:
         return AsyncOpenAI(api_key=openai_key)  # baseurl not needed for regular openai
+    if model_type == "anthropic" and azure_anthropic_api_key:
+        # Azure Anthropic endpoint takes precedence
+        return AsyncOpenAI(api_key=azure_anthropic_api_key, base_url=azure_anthropic_endpoint)
     if model_type == "anthropic" and anthropic_key:
         return AsyncOpenAI(api_key=anthropic_key, base_url="https://api.anthropic.com/v1/")
     # # for future use : gemini supported only via GEMINI_API_KEY at the moment, todo for vertex ai

django/aiservice/aiservice/models/aimodels.py

@@ -93,6 +93,16 @@ class Anthropic_Claude_4(LLM):
     output_cost: float = 15.00
 
 
+# AF = Azure Foundry
+@dataclass
+class Anthropic_Claude_Sonnet_4_5_AF(LLM):
+    name: str = "claude-sonnet-4-5"
+    model_type: Literal["openai", "anthropic", "google"] = "anthropic"
+    max_tokens: int = 200000
+    input_cost: float = 3.00
+    output_cost: float = 15.00
+
+
 @dataclass
 class OpenAI_GPT_4_1(LLM):
     # name: str = "azure/gpt-4.1"
@@ -194,12 +204,14 @@ def _get_openai_model() -> LLM:
 
 
 def _get_anthropic_model() -> LLM:
-    """Returns Anthropic Claude 4 if available, otherwise falls back to OpenAI GPT-4.1.
+    """Returns Anthropic Claude model prioritizing Azure Foundry, otherwise falls back to OpenAI GPT-4.1.
 
     Returns:
         LLM: The appropriate model instance based on available API keys.
 
     """  # noqa: D401
+    if os.environ.get("AZURE_ANTHROPIC_API_KEY"):
+        return Anthropic_Claude_Sonnet_4_5_AF()
     if os.environ.get("ANTHROPIC_API_KEY"):
         return Anthropic_Claude_4()
     # Fall back to OpenAI if Anthropic not available

django/aiservice/optimizer/refinement.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import asyncio
+import logging
 import uuid
 from pathlib import Path
 from typing import TYPE_CHECKING