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6464112 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | """End-to-end pure-Python regression for the OpenClaude tool wire contract."""
from __future__ import annotations
import json
import unittest
from openai_compat import (
analyze_tool_flow,
indexed_tool_calls,
resolve_tool_choice,
select_tools,
tool_names,
)
from openclaude_compat import normalize_openclaude_messages
from tool_calls import extract_tool_calls
GLOB = {
"type": "function",
"function": {
"name": "Glob",
"description": "Find files by glob pattern.",
"parameters": {
"type": "object",
"properties": {
"pattern": {"type": "string"},
"path": {"type": "string"},
},
"required": ["pattern"],
},
},
}
READ = {
"type": "function",
"function": {
"name": "Read",
"description": "Read a file.",
"parameters": {
"type": "object",
"properties": {"file_path": {"type": "string"}},
"required": ["file_path"],
},
},
}
class OpenClaudeToolContractTests(unittest.TestCase):
def test_repository_summary_becomes_structured_openai_tool_call(self) -> None:
# This is the public failure shape reported with Qwen coder models:
# OpenClaude asks for a repository summary with tool_choice=auto.
messages = [
{"role": "user", "content": "Summarize this repository structure."}
]
tools = [GLOB, READ]
state = analyze_tool_flow(messages, tools)
choice = resolve_tool_choice("auto", state)
selected, mode = select_tools(tools, choice)
self.assertEqual(mode, "forced")
self.assertEqual([t["function"]["name"] for t in selected], ["Glob"])
# Exact Qwen2.5-Coder native function-call syntax.
model_text = (
'<tool_call>{"name":"Glob","arguments":{"pattern":"**/*"}}'
"</tool_call>"
)
calls, visible = extract_tool_calls(model_text, tool_names(selected))
self.assertEqual(visible, "")
self.assertEqual(len(calls), 1)
self.assertEqual(calls[0]["type"], "function")
self.assertEqual(calls[0]["function"]["name"], "Glob")
self.assertEqual(
json.loads(calls[0]["function"]["arguments"]),
{"pattern": "**/*"},
)
# OpenClaude's streaming converter requires a stable `index`, while the
# non-streaming converter consumes the same id/name/arguments payload.
streamed = indexed_tool_calls(calls)
self.assertEqual(streamed[0]["index"], 0)
self.assertTrue(streamed[0]["id"].startswith("call_"))
def test_tool_result_round_trip_preserves_call_id_and_arguments_mapping(self) -> None:
history = [
{"role": "user", "content": "Summarize this repository structure."},
{
"role": "assistant",
"content": None,
"tool_calls": [
{
"id": "call_contract_1",
"type": "function",
"function": {
"name": "Glob",
"arguments": '{"pattern":"**/*"}',
},
}
],
},
{
"role": "tool",
"tool_call_id": "call_contract_1",
"name": "Glob",
"content": "app.py\nopenai_compat.py\ntool_calls.py",
},
]
normalized = normalize_openclaude_messages(history)
assistant = next(m for m in normalized if m["role"] == "assistant")
result = next(m for m in normalized if m["role"] == "tool")
call = assistant["tool_calls"][0]
self.assertEqual(call["id"], "call_contract_1")
self.assertEqual(call["function"]["arguments"], {"pattern": "**/*"})
self.assertEqual(result["tool_call_id"], "call_contract_1")
self.assertEqual(result["name"], "Glob")
followup_state = analyze_tool_flow(history, [GLOB, READ])
# After evidence exists, auto stays available instead of being poisoned
# by the first turn. The model may summarize or request another tool.
self.assertEqual(resolve_tool_choice("auto", followup_state), "auto")
if __name__ == "__main__":
unittest.main()
|