dongarandClaude Fable 5
ac81dd6234
Build-order step 4, sequenced before the LLM client (step 3) because the client interface consumes the canonical log. - canonical.py: typed events for the full A10 table (user_message through compaction); canonical tool-call IDs minted locally, provider IDs never a join key; strict payload validation on load - StateStore: canonical_events table via schema v2 — the first real migration, exercised in a test against a hand-built v1 database — with append_event/read_events on the same fsync-per-commit path - render.py: request bodies rendered from the log at call time; first adapter targets the OpenAI-compatible shape of LiteLLM's normalized route; compaction events replace their id range at render time while staying in the durable log - Crash integration test now also verifies transcript appends survive process death Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
import json
|
|
|
|
from nisse_dev.canonical import (
|
|
AssistantText,
|
|
Compaction,
|
|
GateOpened,
|
|
StoredEvent,
|
|
ToolCall,
|
|
ToolResult,
|
|
UserMessage,
|
|
)
|
|
from nisse_dev.render import OpenAIChatRenderer, effective_events
|
|
|
|
|
|
def stored(events: list) -> list[StoredEvent]:
|
|
return [StoredEvent(id=i + 1, ts="t", event=e) for i, e in enumerate(events)]
|
|
|
|
|
|
def test_renders_mixed_transcript_in_order() -> None:
|
|
events = stored(
|
|
[
|
|
UserMessage(text="run the tests", source="m:1"),
|
|
ToolCall(call_id="call-9", tool="run_tests", arguments={"path": "x"}),
|
|
ToolResult(call_id="call-9", result="1 passed", success=True),
|
|
AssistantText(text="all green", model="local/qwen"),
|
|
]
|
|
)
|
|
body = OpenAIChatRenderer().render(events, tools=None, model="local/qwen")
|
|
assert body["model"] == "local/qwen"
|
|
roles = [m["role"] for m in body["messages"]]
|
|
assert roles == ["user", "assistant", "tool", "assistant"]
|
|
call = body["messages"][1]["tool_calls"][0]
|
|
assert call["id"] == "call-9"
|
|
assert call["function"]["name"] == "run_tests"
|
|
assert json.loads(call["function"]["arguments"]) == {"path": "x"}
|
|
assert body["messages"][2]["tool_call_id"] == "call-9"
|
|
assert "tools" not in body
|
|
|
|
|
|
def test_system_prompt_and_tools_pass_through() -> None:
|
|
tools = [{"type": "function", "function": {"name": "run_tests"}}]
|
|
body = OpenAIChatRenderer().render(
|
|
stored([UserMessage(text="hi", source="m:1")]),
|
|
tools=tools,
|
|
model="local/qwen",
|
|
system="you are nisse-dev",
|
|
)
|
|
assert body["messages"][0] == {"role": "system", "content": "you are nisse-dev"}
|
|
assert body["tools"] == tools
|
|
|
|
|
|
def test_compaction_replaces_its_range_only() -> None:
|
|
events = stored(
|
|
[
|
|
UserMessage(text="old-1", source="m:1"),
|
|
AssistantText(text="old-2", model="q"),
|
|
UserMessage(text="kept", source="m:3"),
|
|
]
|
|
)
|
|
events.append(
|
|
StoredEvent(
|
|
id=4,
|
|
ts="t",
|
|
event=Compaction(summary="the old stuff", model="q", replaces=[1, 2]),
|
|
)
|
|
)
|
|
remaining = effective_events(events)
|
|
assert [e.id for e in remaining] == [3, 4]
|
|
body = OpenAIChatRenderer().render(events, tools=None, model="q")
|
|
contents = [m["content"] for m in body["messages"]]
|
|
assert contents == ["kept", "[summary of earlier conversation]\nthe old stuff"]
|
|
|
|
|
|
def test_gate_event_renders_as_context() -> None:
|
|
events = stored([GateOpened(gate="arch", reason="plan submitted (rev-1)")])
|
|
body = OpenAIChatRenderer().render(events, tools=None, model="q")
|
|
assert body["messages"][0]["role"] == "user"
|
|
assert "arch" in body["messages"][0]["content"]
|