A-F-V · A-F-V · Feb 27, 2025 · Feb 27, 2025
diff --git a/instructor/function_calls.py b/instructor/function_calls.py
@@ -225,7 +225,9 @@ def parse_anthropic_json(
             assert isinstance(completion, Message)
             if completion.stop_reason == "max_tokens":
                 raise IncompleteOutputException(last_completion=completion)
-            text = completion.content[0].text
+            # Find the first text block
+            text_blocks = [c for c in completion.content if c.type == "text"]
+            text = text_blocks[0].text
 
         extra_text = extract_json_from_codeblock(text)
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,8 +1,6 @@
 [project]
-authors = [
-    {name = "Jason Liu", email = "jason@jxnl.co"},
-]
-license = {text = "MIT"}
+authors = [{ name = "Jason Liu", email = "jason@jxnl.co" }]
+license = { text = "MIT" }
 requires-python = "<4.0,>=3.9"
 dependencies = [
     "openai<2.0.0,>=1.52.0",
@@ -59,33 +57,17 @@ test-docs = [
     "litellm<2.0.0,>=1.35.31",
     "mistralai<2.0.0,>=1.0.3",
 ]
-anthropic = [
-    "anthropic==0.42.0",
-    "xmltodict<0.15,>=0.13",
-]
-groq = [
-    "groq<0.14.0,>=0.4.2",
-]
-cohere = [
-    "cohere<6.0.0,>=5.1.8",
-]
+anthropic = ["anthropic==0.47.2", "xmltodict<0.15,>=0.13"]
+groq = ["groq<0.14.0,>=0.4.2"]
+cohere = ["cohere<6.0.0,>=5.1.8"]
 google-generativeai = [
     "google-generativeai<1.0.0,>=0.8.2",
     "jsonref<2.0.0,>=1.1.0",
 ]
-vertexai = [
-    "google-cloud-aiplatform<2.0.0,>=1.53.0",
-    "jsonref<2.0.0,>=1.1.0",
-]
-cerebras_cloud_sdk = [
-    "cerebras-cloud-sdk<2.0.0,>=1.5.0",
-]
-fireworks-ai = [
-    "fireworks-ai<1.0.0,>=0.15.4",
-]
-writer = [
-    "writer-sdk<2.0.0,>=1.2.0",
-]
+vertexai = ["google-cloud-aiplatform<2.0.0,>=1.53.0", "jsonref<2.0.0,>=1.1.0"]
+cerebras_cloud_sdk = ["cerebras-cloud-sdk<2.0.0,>=1.5.0"]
+fireworks-ai = ["fireworks-ai<1.0.0,>=0.15.4"]
+writer = ["writer-sdk<2.0.0,>=1.2.0"]
 
 [project.scripts]
 instructor = "instructor.cli.cli:app"
@@ -112,9 +94,7 @@ docs = [
     "mkdocs-redirects<2.0.0,>=1.2.1",
     "material>=0.1",
 ]
-anthropic = [
-    "anthropic==0.42.0",
-]
+anthropic = ["anthropic==0.47.2"]
 test-docs = [
     "fastapi<0.116.0,>=0.109.2",
     "redis<6.0.0,>=5.0.1",
@@ -123,7 +103,7 @@ test-docs = [
     "tabulate<1.0.0,>=0.9.0",
     "pydantic-extra-types<3.0.0,>=2.6.0",
     "litellm<2.0.0,>=1.35.31",
-    "anthropic==0.42.0",
+    "anthropic==0.47.2",
     "xmltodict<0.15,>=0.13",
     "groq<0.14.0,>=0.4.2",
     "phonenumbers<9.0.0,>=8.13.33",
@@ -138,14 +118,9 @@ test-docs = [
     "datasets<4.0.0,>=3.0.1",
     "writer-sdk<2.0.0,>=1.2.0",
 ]
-litellm = [
-    "litellm<2.0.0,>=1.35.31",
-]
+litellm = ["litellm<2.0.0,>=1.35.31"]
 google-generativeai = [
     "google-generativeai<1.0.0,>=0.8.2",
     "jsonref<2.0.0,>=1.1.0",
 ]
-vertexai = [
-    "google-cloud-aiplatform<2.0.0,>=1.53.0",
-    "jsonref<2.0.0,>=1.1.0",
-]
+vertexai = ["google-cloud-aiplatform<2.0.0,>=1.53.0", "jsonref<2.0.0,>=1.1.0"]
diff --git a/tests/llm/test_anthropic/test_reasoning.py b/tests/llm/test_anthropic/test_reasoning.py
@@ -0,0 +1,35 @@
+import anthropic
+import pytest
+import instructor
+from pydantic import BaseModel
+from itertools import product
+from .util import models, modes
+from anthropic.types.message import Message
+
+
+class Answer(BaseModel):
+    answer: float
+
+
+def test_reasoning():
+    anthropic_client = anthropic.Anthropic()
+    client = instructor.from_anthropic(
+        anthropic_client, mode=instructor.Mode.ANTHROPIC_JSON
+    )
+    response = client.chat.completions.create(
+        model="claude-3-7-sonnet-latest",
+        response_model=Answer,
+        messages=[
+            {
+                "role": "user",
+                "content": "Which is larger, 9.11 or 9.8",
+            },
+        ],
+        temperature=1,
+        max_tokens=2000,
+        thinking={"type": "enabled", "budget_tokens": 1024},
+    )
+
+    # Assertions to validate the response
+    assert isinstance(response, Answer)
+    assert response.answer == 9.8
diff --git a/uv.lock b/uv.lock