uprev to v0.0.12 (#185)

Author: samuelcolvin

.github/workflows/ci.yml

@@ -85,7 +85,7 @@ jobs:
 
       - uses: pydantic/ollama-action@main
         with:
-          model: qwen:0.5b
+          model: qwen2:0.5b
 
       - run: >
           uv run

pydantic_ai_examples/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "pydantic-ai-examples"
-version = "0.0.11"
+version = "0.0.12"
 description = "Examples of how to use PydanticAI and what it can do."
 authors = [
     { name = "Samuel Colvin", email = "[email protected]" },
@@ -34,7 +34,7 @@ classifiers = [
 ]
 requires-python = ">=3.9"
 dependencies = [
-    "pydantic-ai-slim[openai,vertexai,groq]==0.0.11",
+    "pydantic-ai-slim[openai,vertexai,groq]==0.0.12",
     "asyncpg>=0.30.0",
     "fastapi>=0.115.4",
     "logfire[asyncpg,fastapi]>=2.3",

pydantic_ai_slim/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "pydantic-ai-slim"
-version = "0.0.11"
+version = "0.0.12"
 description = "Agent Framework / shim to use Pydantic with LLMs, slim package"
 authors = [
     { name = "Samuel Colvin", email = "[email protected]" },

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "pydantic-ai"
-version = "0.0.11"
+version = "0.0.12"
 description = "Agent Framework / shim to use Pydantic with LLMs"
 authors = [
     { name = "Samuel Colvin", email = "[email protected]" },
@@ -36,7 +36,7 @@ classifiers = [
     "Framework :: Pytest",
 ]
 requires-python = ">=3.9"
-dependencies = ["pydantic-ai-slim[openai,vertexai,groq]==0.0.11"]
+dependencies = ["pydantic-ai-slim[openai,vertexai,groq]==0.0.12"]
 
 [project.urls]
 Homepage = "https://ai.pydantic.dev"
@@ -45,7 +45,7 @@ Documentation = "https://ai.pydantic.dev"
 Changelog = "https://github.com/pydantic/pydantic-ai/releases"
 
 [project.optional-dependencies]
-examples = ["pydantic-ai-examples==0.0.11"]
+examples = ["pydantic-ai-examples==0.0.12"]
 logfire = ["logfire>=2.3"]
 
 [tool.uv.sources]

tests/test_live.py

@@ -51,7 +51,7 @@ def groq(http_client: httpx.AsyncClient, _tmp_path: Path) -> Model:
 def ollama(http_client: httpx.AsyncClient, _tmp_path: Path) -> Model:
     from pydantic_ai.models.ollama import OllamaModel
 
-    return OllamaModel('qwen:0.5b', http_client=http_client)
+    return OllamaModel('qwen2:0.5b', http_client=http_client)
 
 
 params = [