feat: 推理引擎数据模型与异常层（types/exceptions）及 httpx/jinja2 依赖

tests/test_inference_errors.py

@@ -0,0 +1,21 @@
+import pytest
+
+from genesis.inference.exceptions import (
+    LLMError,
+    LLMNetworkError,
+    LLMNotConfiguredError,
+    LLMResponseError,
+    LLMTimeoutError,
+)
+
+
+def test_error_hierarchy():
+    assert issubclass(LLMNetworkError, LLMError)
+    assert issubclass(LLMTimeoutError, LLMError)
+    assert issubclass(LLMNotConfiguredError, LLMError)
+    assert issubclass(LLMResponseError, LLMError)
+
+
+def test_error_message_roundtrip():
+    e = LLMTimeoutError("timeout!")
+    assert str(e) == "timeout!"

tests/test_inference_types.py

@@ -0,0 +1,40 @@
+from genesis.inference.types import ChatMessage, ChatResult, Prompt, StructuredResult, TokenUsage
+
+
+def test_token_usage_defaults():
+    u = TokenUsage()
+    assert u.input_tokens == 0 and u.output_tokens == 0
+
+
+def test_chat_message_roles():
+    assert ChatMessage(role="system", content="x").content == "x"
+
+
+def test_chat_result_defaults():
+    r = ChatResult(
+        text="t", model="m", prompt_version="v1", usage=TokenUsage(),
+        duration_ms=10, status="ok",
+    )
+    assert r.status == "ok" and r.error is None
+
+
+def test_structured_result_status_ok():
+    r = StructuredResult(
+        data={"a": 1}, raw_text='{"a":1}', parse_attempts=1, model="m",
+        prompt_version="v1", usage=TokenUsage(), duration_ms=10, status="ok",
+    )
+    assert r.data == {"a": 1} and r.raw_text == '{"a":1}'
+
+
+def test_structured_result_status_parse_error():
+    r = StructuredResult(
+        data={}, raw_text="NOT JSON", parse_attempts=3, model="m",
+        prompt_version="v1", usage=TokenUsage(), duration_ms=50,
+        status="parse_error", error="bad json",
+    )
+    assert r.status == "parse_error" and r.error == "bad json"
+
+
+def test_prompt_fields():
+    p = Prompt(name="writer", version="v2", template="章节 {{chapter}}")
+    assert p.name == "writer" and p.version == "v2"