diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml
index dbf2cfa..6b10d28 100644
--- a/.github/workflows/checks.yml
+++ b/.github/workflows/checks.yml
@@ -26,7 +26,7 @@ jobs:
with:
enable-cache: true
- - run: uv sync --all-extras --all-packages --group lint
+ - run: uv sync --all-packages --group lint
- uses: pre-commit/action@v3.0.0
with:
@@ -40,6 +40,11 @@ jobs:
test:
runs-on: ubuntu-latest
timeout-minutes: 10
+ strategy:
+ fail-fast: false
+ matrix:
+ pydantic-ai-version: [min, latest]
+ name: test (pydantic-ai ${{ matrix.pydantic-ai-version }})
steps:
- uses: actions/checkout@v4
@@ -48,5 +53,10 @@ jobs:
enable-cache: true
- run: mkdir .coverage
- - run: uv sync --all-extras --group dev
- - run: uv run coverage run -m pytest --durations=100 -n auto --dist=loadgroup
+ - if: matrix.pydantic-ai-version == 'min'
+ run: uv sync --group dev --resolution lowest-direct
+ - if: matrix.pydantic-ai-version == 'latest'
+ run: uv sync --group dev --upgrade-package pydantic-ai
+ env:
+ UV_FROZEN: "0"
+ - run: make test
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 5778c4a..288436e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -26,13 +26,6 @@ repos:
- repo: local
hooks:
- - id: format
- name: Format
- entry: make
- args: [format]
- language: system
- types: [python]
- pass_filenames: false
- id: lint
name: Lint
entry: make
diff --git a/Makefile b/Makefile
index 08af6f6..a9792f7 100644
--- a/Makefile
+++ b/Makefile
@@ -1,3 +1,7 @@
+.PHONY: install
+install: ## Install git hooks for local development
+ uv run pre-commit install
+
.PHONY: format
format: ## Format the code
uv run ruff format
diff --git a/pyproject.toml b/pyproject.toml
index e313ea8..9981a65 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,24 +20,15 @@ version = { attr = "cragents._version.__version__" }
[dependency-groups]
dev = [
- "anyio>=4.11.0",
- "coverage>=7.12.0",
+ "anyio>=4.12.1",
+ "coverage>=7.13.2",
"inline-snapshot>=0.31.1",
- "pyright>=1.1.406",
- "pytest>=9.0.1",
+ "pre-commit>=4.5.1",
+ "pyright>=1.1.408",
+ "pytest>=9.0.2",
"pytest-xdist>=3.8.0",
"trio>=0.32.0",
]
-example = [
- "chromadb>=1.3.7",
- "datasets>=4.4.2",
- "langchain-text-splitters>=1.1.0",
- "markdownify>=1.2.2",
- "playwright>=1.57.0",
- "requests-cache>=1.2.1",
- "rich>=14.2.0",
- "transformers>=4.57.3",
-]
lint = [
"pyright>=1.1.406",
"ruff>=0.14.1",
diff --git a/tests/test_.py b/tests/test_agent.py
similarity index 53%
rename from tests/test_.py
rename to tests/test_agent.py
index ba4ab2e..828064f 100644
--- a/tests/test_.py
+++ b/tests/test_agent.py
@@ -1,7 +1,8 @@
import pytest
from inline_snapshot import snapshot
from pydantic_ai import ToolOutput
-from pydantic_ai.models.openai import OpenAIChatModel
+from pydantic_ai.models.openai import OpenAIChatModel, OpenAIChatModelSettings
+from pydantic_ai.models.test import TestModel
from pydantic_ai.providers.openai import OpenAIProvider
from cragents import Anchor, Constrain, CRAgent, Free, Think, UseTools, vllm_model_profile
@@ -24,6 +25,9 @@
]
+# ── end-to-end set_guide output type tests ────────────────────────────────────
+
+
async def test_default_agent_output():
agent = CRAgent(model)
await agent.set_guide(generation_sequence)
@@ -134,3 +138,102 @@ async def test_mixed_output_type():
}
}
)
+
+
+# ── set_guide error handling and model settings ───────────────────────────────
+
+
+async def test_set_guide_requires_openai_model():
+ agent = CRAgent(TestModel())
+ with pytest.raises(RuntimeError, match="OpenAIChatModel required"):
+ await agent.set_guide([Anchor("hi ")])
+
+
+async def test_set_guide_creates_model_settings_when_none():
+ agent = CRAgent(model)
+ assert agent.model_settings is None
+ await agent.set_guide([Anchor("hi ")])
+ assert agent.model_settings is not None
+ assert "extra_body" in agent.model_settings
+
+
+async def test_set_guide_preserves_existing_model_settings():
+ agent = CRAgent(model, model_settings=OpenAIChatModelSettings(temperature=0.5))
+ await agent.set_guide([Anchor("hi ")])
+ assert agent.model_settings["temperature"] == 0.5
+ assert "extra_body" in agent.model_settings
+
+
+async def test_set_guide_overwrites_on_second_call():
+ agent = CRAgent(model)
+ await agent.set_guide([Anchor("first ")])
+ first_grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ await agent.set_guide([Anchor("second ")])
+ second_grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ assert first_grammar != second_grammar
+ assert "second" in second_grammar
+
+
+# ── set_guide UseTools schema handling ────────────────────────────────────────
+
+
+async def test_set_guide_explicit_use_tools_schema_not_overwritten():
+ explicit_schema = {"type": "number"}
+ agent = CRAgent(model)
+ await agent.set_guide([UseTools(json_schema=explicit_schema)])
+ grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ assert '"type": "number"' in grammar
+
+
+async def test_set_guide_use_tools_with_registered_tool():
+ agent = CRAgent(model)
+
+ @agent.tool_plain
+ def my_tool(x: int) -> str:
+ return str(x)
+
+ await agent.set_guide([UseTools()])
+ grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ # The tool's parameter schema (containing "x") should appear in the grammar
+ assert '"x"' in grammar
+
+
+async def test_set_guide_use_tools_tool_names():
+ agent = CRAgent(model)
+ await agent.set_guide([UseTools(json_schema={"type": "string"}, tool_names=["alpha", "beta"])])
+ grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ assert 'FUNCTION_NAME: ("alpha" | "beta")' in grammar
+
+
+async def test_set_guide_merges_toolset_with_anyof_output():
+ # When the output schema already has anyOf (multiple output types) and the agent
+ # also has registered tools, anyOf = toolset_schemas + return_schema["anyOf"]
+ agent = CRAgent(model, output_type=[ToolOutput(bool), ToolOutput(int)])
+
+ @agent.tool_plain
+ def helper(x: str) -> str:
+ return x
+
+ await agent.set_guide([UseTools()])
+ grammar = agent.model_settings["extra_body"]["structured_outputs"]["grammar"]
+ assert "tool_schema" in grammar
+ assert "anyOf" in grammar
+
+
+# ── vllm_model_profile ─────────────────────────────────────────────────────────
+
+
+def test_vllm_profile_strict_tool_definition():
+ assert vllm_model_profile.openai_supports_strict_tool_definition is False
+
+
+def test_vllm_profile_tool_choice_required():
+ assert vllm_model_profile.openai_supports_tool_choice_required is False
+
+
+def test_vllm_profile_json_object_output():
+ assert vllm_model_profile.supports_json_object_output is False
+
+
+def test_vllm_profile_json_schema_output():
+ assert vllm_model_profile.supports_json_schema_output is True
diff --git a/tests/test_grammar.py b/tests/test_grammar.py
new file mode 100644
index 0000000..4ae39c8
--- /dev/null
+++ b/tests/test_grammar.py
@@ -0,0 +1,196 @@
+from inline_snapshot import snapshot
+
+from cragents import Anchor, Constrain, Free, Think, UseTools
+from cragents._utils import build_grammar, make_guided_extra_body
+
+# ── build_grammar ──────────────────────────────────────────────────────────────
+
+
+def test_grammar_single_anchor():
+ grammar = build_grammar([Anchor("hello ")])
+ assert grammar == snapshot("""\
+start: "hello " \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_multiple_anchors():
+ grammar = build_grammar([Anchor("foo "), Anchor("bar ")])
+ assert grammar == snapshot("""\
+start: "foo " "bar " \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_single_free():
+ grammar = build_grammar([Free()])
+ assert grammar == snapshot("""\
+start: FREE \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_anchor_then_free():
+ grammar = build_grammar([Anchor("Result: "), Free()])
+ assert grammar == snapshot("""\
+start: "Result: " FREE \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_single_constrain():
+ grammar = build_grammar([Constrain(max_newlines=2, max_char_captures=3)])
+ assert grammar == snapshot("""\
+start: block_1 \nblock_1: p_1{1,2}
+p_1: s_1{1,3} NL NL
+s_1[lazy]: /[^\\.\\n]+/ ( "." )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_constrain_custom_chars():
+ grammar = build_grammar([Constrain(max_newlines=1, max_char_captures=2, chars_to_capture="!?")])
+ assert grammar == snapshot("""\
+start: block_1 \nblock_1: p_1{1,1}
+p_1: s_1{1,2} NL NL
+s_1[lazy]: /[^!\\?\\n]+/ ( "!" | "?" )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_constrain_regex_special_chars():
+ # "." is the default and must be escaped to "\\." in the character class
+ grammar = build_grammar([Constrain(max_newlines=1, max_char_captures=1, chars_to_capture=".")])
+ assert grammar == snapshot("""\
+start: block_1 \nblock_1: p_1{1,1}
+p_1: s_1{1,1} NL NL
+s_1[lazy]: /[^\\.\\n]+/ ( "." )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_multiple_constrains_uid_increments():
+ grammar = build_grammar([Constrain(1, 1), Constrain(2, 3)])
+ assert grammar == snapshot("""\
+start: block_1 block_2 \nblock_1: p_1{1,1}
+p_1: s_1{1,1} NL NL
+s_1[lazy]: /[^\\.\\n]+/ ( "." )
+block_2: p_2{1,2}
+p_2: s_2{1,3} NL NL
+s_2[lazy]: /[^\\.\\n]+/ ( "." )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_empty_sequence():
+ grammar = build_grammar([Think([])])
+ assert grammar == snapshot("""\
+start: NL \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_with_anchor():
+ grammar = build_grammar([Think([Anchor("step one ")])])
+ assert grammar == snapshot("""\
+start: NL "step one " \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_with_constrain():
+ grammar = build_grammar([Think([Constrain(1, 2)])])
+ assert grammar == snapshot("""\
+start: NL block_1 \nblock_1: p_1{1,1}
+p_1: s_1{1,2} NL NL
+s_1[lazy]: /[^\\.\\n]+/ ( "." )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_with_free():
+ grammar = build_grammar([Think([Free()])])
+ assert grammar == snapshot("""\
+start: NL FREE \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_uid_shared_with_outer():
+ # Outer Constrain gets uid=1, inner Think's Constrain gets uid=2
+ grammar = build_grammar([Constrain(1, 1), Think([Constrain(2, 3)])])
+ assert grammar == snapshot("""\
+start: block_1 NL block_2 \nblock_1: p_1{1,1}
+p_1: s_1{1,1} NL NL
+s_1[lazy]: /[^\\.\\n]+/ ( "." )
+block_2: p_2{1,2}
+p_2: s_2{1,3} NL NL
+s_2[lazy]: /[^\\.\\n]+/ ( "." )
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_think_custom_tokens():
+ grammar = build_grammar([Think([], start_token="<|think|>", stop_token="<|/think|>")])
+ assert grammar == snapshot("""\
+start: <|think|> NL <|/think|> \nFREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_use_tools_explicit_schema():
+ schema = {"type": "object", "properties": {"x": {"type": "integer"}}}
+ grammar = build_grammar([UseTools(json_schema=schema)])
+ assert grammar == snapshot("""\
+start: tool_call
+tool_call: "{\\"name\\": \\"" FUNCTION_NAME "\\", \\"arguments\\": " tool_schema "}\\n"
+tool_schema: %json {"type": "object", "properties": {"x": {"type": "integer"}}}
+FUNCTION_NAME: /[a-zA-Z0-9_]+/
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_use_tools_explicit_tool_names():
+ grammar = build_grammar([UseTools(json_schema={"type": "string"}, tool_names=["search", "fetch"])])
+ assert grammar == snapshot("""\
+start: tool_call
+tool_call: "{\\"name\\": \\"" FUNCTION_NAME "\\", \\"arguments\\": " tool_schema "}\\n"
+tool_schema: %json {"type": "string"}
+FUNCTION_NAME: ("search" | "fetch")
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_use_tools_custom_regex():
+ grammar = build_grammar([UseTools(json_schema={"type": "string"}, tool_name_regex="/[a-z]+/")])
+ assert grammar == snapshot("""\
+start: tool_call
+tool_call: "{\\"name\\": \\"" FUNCTION_NAME "\\", \\"arguments\\": " tool_schema "}\\n"
+tool_schema: %json {"type": "string"}
+FUNCTION_NAME: /[a-z]+/
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+def test_grammar_use_tools_custom_tokens():
+ grammar = build_grammar([UseTools(json_schema={"type": "string"}, start_token="[TOOL]", stop_token="[/TOOL]")])
+ assert grammar == snapshot("""\
+start: [TOOL] tool_call [/TOOL]
+tool_call: "{\\"name\\": \\"" FUNCTION_NAME "\\", \\"arguments\\": " tool_schema "}\\n"
+tool_schema: %json {"type": "string"}
+FUNCTION_NAME: /[a-zA-Z0-9_]+/
+FREE: /[\\S\\s]*/
+NL: /\\n/""")
+
+
+# ── make_guided_extra_body ─────────────────────────────────────────────────────
+
+
+def test_extra_body_structure():
+ extra_body = make_guided_extra_body([Anchor("hi ")])
+ assert extra_body["chat_template_kwargs"] == {"add_generation_prompt": False, "enable_thinking": False}
+ assert "grammar" in extra_body["structured_outputs"]
+
+
+def test_extra_body_grammar_matches_build_grammar():
+ seq = [Anchor("test "), Free()]
+ extra_body = make_guided_extra_body(seq)
+ assert extra_body["structured_outputs"]["grammar"] == build_grammar(seq)
+
+
+def test_extra_body_disable_thinking_and_prompt():
+ extra_body = make_guided_extra_body([Free()])
+ assert extra_body["chat_template_kwargs"]["add_generation_prompt"] is False
+ assert extra_body["chat_template_kwargs"]["enable_thinking"] is False
diff --git a/tests/test_json_schema.py b/tests/test_json_schema.py
new file mode 100644
index 0000000..3c83d02
--- /dev/null
+++ b/tests/test_json_schema.py
@@ -0,0 +1,102 @@
+from inline_snapshot import snapshot
+from pydantic import BaseModel
+from pydantic_ai import BinaryImage, DeferredToolRequests, ToolOutput, _output
+
+from cragents._utils import build_json_schema
+
+
+def test_json_schema_default_string():
+ output_schema = _output.OutputSchema.build(str)
+ assert build_json_schema(output_schema) == {"type": "string"}
+
+
+def test_json_schema_single_tool_output_bool():
+ output_schema = _output.OutputSchema.build(ToolOutput(bool))
+ result = build_json_schema(output_schema)
+ assert result == {"properties": {"response": {"type": "boolean"}}, "required": ["response"], "type": "object"}
+
+
+def test_json_schema_deduplicated_tool_outputs():
+ output_schema = _output.OutputSchema.build([ToolOutput(bool, name="one"), ToolOutput(bool, name="two")])
+ result = build_json_schema(output_schema)
+ # Identical schemas are deduplicated — result is a single schema, not anyOf
+ assert result == {"properties": {"response": {"type": "boolean"}}, "required": ["response"], "type": "object"}
+
+
+def test_json_schema_multiple_distinct_tool_outputs():
+ output_schema = _output.OutputSchema.build([ToolOutput(bool), ToolOutput(int)])
+ result = build_json_schema(output_schema)
+ assert result == snapshot(
+ {
+ "anyOf": [
+ {"properties": {"response": {"type": "boolean"}}, "required": ["response"], "type": "object"},
+ {"properties": {"response": {"type": "integer"}}, "required": ["response"], "type": "object"},
+ ]
+ }
+ )
+
+
+def test_json_schema_mixed_tool_and_text_output():
+ output_schema = _output.OutputSchema.build([ToolOutput(bool), str])
+ result = build_json_schema(output_schema)
+ assert result == snapshot(
+ {
+ "anyOf": [
+ {"type": "string"},
+ {"properties": {"response": {"type": "boolean"}}, "required": ["response"], "type": "object"},
+ ]
+ }
+ )
+
+
+def test_json_schema_object_output_processor():
+ # A plain BaseModel output goes through the ObjectOutputProcessor branch
+ class Item(BaseModel):
+ name: str
+ value: int
+
+ output_schema = _output.OutputSchema.build(Item)
+ result = build_json_schema(output_schema)
+ assert result == {
+ "properties": {"name": {"type": "string"}, "value": {"type": "integer"}},
+ "required": ["name", "value"],
+ "title": "Item",
+ "type": "object",
+ }
+
+
+def test_json_schema_allows_deferred_tools():
+ output_schema = _output.OutputSchema.build([ToolOutput(bool), DeferredToolRequests])
+ result = build_json_schema(output_schema)
+ # Result should be anyOf including the DeferredToolRequests schema
+ assert "anyOf" in result
+ schemas = result["anyOf"]
+ # At least one schema should have a "calls" property (DeferredToolRequests)
+ assert any("calls" in s.get("properties", {}) for s in schemas)
+
+
+def test_json_schema_allows_image():
+ output_schema = _output.OutputSchema.build([ToolOutput(bool), BinaryImage])
+ result = build_json_schema(output_schema)
+ assert "anyOf" in result
+ schemas = result["anyOf"]
+ # The image schema only has 'data' and 'media_type' keys
+ assert any(set(s.keys()) == {"data", "media_type"} for s in schemas)
+
+
+def test_json_schema_defs_from_shared_model():
+ # Two ToolOutputs that both reference a shared sub-model trigger $defs in merged schema
+ class Address(BaseModel):
+ street: str
+
+ class Person(BaseModel):
+ address: Address
+
+ class Company(BaseModel):
+ headquarters: Address
+
+ output_schema = _output.OutputSchema.build([ToolOutput(Person), ToolOutput(Company)])
+ result = build_json_schema(output_schema)
+ assert "anyOf" in result
+ assert "$defs" in result
+ assert "Address" in result["$defs"]
diff --git a/uv.lock b/uv.lock
index 2bc54dd..357fb6c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -212,81 +212,6 @@ wheels = [
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]
-[[package]]
-name = "backoff"
-version = "2.2.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
-wheels = [
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-]
-
-[[package]]
-name = "bcrypt"
-version = "5.0.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d4/36/3329e2518d70ad8e2e5817d5a4cac6bba05a47767ec416c7d020a965f408/bcrypt-5.0.0.tar.gz", hash = "sha256:f748f7c2d6fd375cc93d3fba7ef4a9e3a092421b8dbf34d8d4dc06be9492dfdd", size = 25386, upload-time = "2025-09-25T19:50:47.829Z" }
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