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feat(ai_client): add send_result() public API returning Result[str]

This commit is contained in:
2026-06-12 19:01:50 -04:00
parent d4d7d1ab14
commit 9f86b2bee3
6 changed files with 114 additions and 27 deletions
+11 -11
View File
@@ -26,7 +26,7 @@ separate_tool_calls_panel = true
bg_shader_enabled = false
crt_filter_enabled = false
separate_task_dag = false
separate_usage_analytics = true
separate_usage_analytics = false
separate_tier1 = false
separate_tier2 = false
separate_tier3 = false
@@ -53,7 +53,7 @@ separate_external_tools = false
Message = false
Response = false
"Tool Calls" = true
"Text Viewer" = true
"Text Viewer" = false
Theme = true
"Log Management" = true
Diagnostics = false
@@ -75,26 +75,26 @@ brightness = 0.7699999809265137
contrast = 0.7200000286102295
gamma = 0.6899999976158142
[theme.tone_mapping."Solarized Light"]
brightness = 0.4699999988079071
contrast = 0.800000011920929
gamma = 0.6700000166893005
[theme.tone_mapping.Binks]
brightness = 0.47999998927116394
contrast = 0.8399999737739563
gamma = 2.2100000381469727
[theme.tone_mapping.solarized_light]
brightness = 0.6899999976158142
contrast = 0.8600000143051147
gamma = 0.7699999809265137
[theme.tone_mapping."Solarized Light"]
brightness = 0.4699999988079071
contrast = 0.800000011920929
gamma = 0.6700000166893005
[theme.tone_mapping.moss]
brightness = 0.7699999809265137
contrast = 0.8700000047683716
gamma = 1.0
[theme.tone_mapping.Binks]
brightness = 0.47999998927116394
contrast = 0.8399999737739563
gamma = 2.2100000381469727
[mma]
max_workers = 4
+11 -11
View File
@@ -57,7 +57,7 @@ DockId=0x00000010,5
[Window][Tool Calls]
Pos=106,92
Size=1560,1096
Size=1560,1108
Collapsed=0
DockId=0x00000002,1
@@ -77,7 +77,7 @@ DockId=0xAFC85805,2
[Window][Theme]
Pos=0,28
Size=104,1160
Size=104,1172
Collapsed=0
DockId=0x00000010,0
@@ -106,25 +106,25 @@ DockId=0x0000000D,0
[Window][Discussion Hub]
Pos=106,92
Size=1560,1096
Size=1560,1108
Collapsed=0
DockId=0x00000002,0
[Window][Operations Hub]
Pos=0,28
Size=104,1160
Size=104,1172
Collapsed=0
DockId=0x00000010,4
[Window][Files & Media]
Pos=0,28
Size=104,1160
Size=104,1172
Collapsed=0
DockId=0x00000010,2
[Window][AI Settings]
Pos=0,28
Size=104,1160
Size=104,1172
Collapsed=0
DockId=0x00000010,3
@@ -410,7 +410,7 @@ DockId=0x00000002,1
[Window][Project Settings]
Pos=0,28
Size=104,1160
Size=104,1172
Collapsed=0
DockId=0x00000010,1
@@ -541,8 +541,8 @@ Size=186,192
Collapsed=0
[Window][###Text_Viewer_Unified]
Pos=443,513
Size=1021,1293
Pos=466,615
Size=1021,918
Collapsed=0
[Table][0xFB6E3870,4]
@@ -870,11 +870,11 @@ Column 4 Weight=1.0000
DockNode ID=0x00000008 Pos=3125,170 Size=593,1157 Split=Y
DockNode ID=0x00000009 Parent=0x00000008 SizeRef=1029,147 Selected=0x0469CA7A
DockNode ID=0x0000000A Parent=0x00000008 SizeRef=1029,145 Selected=0xDF822E02
DockSpace ID=0xAFC85805 Window=0x079D3A04 Pos=0,28 Size=1666,1160 Split=X
DockSpace ID=0xAFC85805 Window=0x079D3A04 Pos=0,28 Size=1666,1172 Split=X
DockNode ID=0x00000003 Parent=0xAFC85805 SizeRef=2357,1183 Split=X
DockNode ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=X Selected=0xF4139CA2
DockNode ID=0x00000005 Parent=0x0000000B SizeRef=1426,1681 Split=Y Selected=0x3F1379AF
DockNode ID=0x00000010 Parent=0x00000005 SizeRef=983,1140 CentralNode=1 Selected=0x7BD57D6A
DockNode ID=0x00000010 Parent=0x00000005 SizeRef=983,1140 CentralNode=1 Selected=0x418C7449
DockNode ID=0x00000011 Parent=0x00000005 SizeRef=983,184 Selected=0x432BAE4E
DockNode ID=0x00000006 Parent=0x0000000B SizeRef=1560,1681 Split=Y Selected=0x6F2B5B04
DockNode ID=0x00000001 Parent=0x00000006 SizeRef=1560,107 Selected=0x2C0206CE
+1 -1
View File
@@ -9,5 +9,5 @@ active = "main"
[discussions.main]
git_commit = ""
last_updated = "2026-06-11T21:21:04"
last_updated = "2026-06-12T06:55:16"
history = []
+88 -1
View File
@@ -61,7 +61,7 @@ PROVIDERS: List[str] = ["gemini", "anthropic", "gemini_cli", "deepseek", "minima
# existing call sites and the T3.1 test (which asserts
# hasattr(src.ai_client, '_require_warmed')) continue to work.
from src.module_loader import _require_warmed # noqa: E402,F401
from src.result_types import ErrorInfo, ErrorKind # noqa: E402,F401
from src.result_types import ErrorInfo, ErrorKind, Result # noqa: E402,F401
_provider: str = "gemini"
@@ -2768,6 +2768,93 @@ def send(
if monitor.enabled: monitor.end_component("ai_client.send")
return res
def send_result(
md_content: str,
user_message: str,
base_dir: str = ".",
file_items: list[dict[str, Any]] | None = None,
discussion_history: str = "",
stream: bool = False,
pre_tool_callback: Optional[Callable[[str, str, Optional[Callable[[str], str]]], Optional[str]]] = None,
qa_callback: Optional[Callable[[str], str]] = None,
enable_tools: bool = True,
stream_callback: Optional[Callable[[str], None]] = None,
patch_callback: Optional[Callable[[str, str], Optional[str]]] = None,
rag_engine: Optional[Any] = None,
) -> Result[str]:
"""
[NEW] The Result-based public API. Returns Result[str, ErrorInfo].
data is the response text on success; errors contains ErrorInfo on failure.
[C: tests/test_ai_client_result.py:test_send_result_public_api_returns_result, tests/test_ai_client_result.py:test_send_result_preserves_errors, tests/test_deprecation_warnings.py:test_send_result_does_not_emit_deprecation]
"""
monitor = performance_monitor.get_monitor()
if monitor.enabled: monitor.start_component("ai_client.send_result")
if rag_engine and getattr(rag_engine.config, "enabled", False) and "## Retrieved Context" not in user_message:
chunks = rag_engine.search(user_message)
if chunks:
context_block = "## Retrieved Context\n\n"
for i, chunk in enumerate(chunks):
path = chunk.get("metadata", {}).get("path", "unknown")
context_block += f"### Chunk {i+1} (Source: {path})\n{chunk.get('document', '')}\n\n"
user_message = context_block + user_message
_append_comms("OUT", "request", {"message": user_message, "system": _get_combined_system_prompt(_active_tool_preset, _active_bias_profile)})
with _send_lock:
p = str(_provider).lower().strip()
try:
if p == "gemini":
res = _send_gemini_result(
md_content, user_message, base_dir, file_items, discussion_history,
pre_tool_callback, qa_callback, enable_tools, stream_callback, patch_callback
)
elif p == "gemini_cli":
res = _send_gemini_cli_result(
md_content, user_message, base_dir, file_items, discussion_history,
pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "anthropic":
res = _send_anthropic_result(
md_content, user_message, base_dir, file_items, discussion_history,
pre_tool_callback, qa_callback, stream_callback=stream_callback, patch_callback=patch_callback
)
elif p == "deepseek":
res = _send_deepseek_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "minimax":
res = _send_minimax_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "qwen":
res = _send_qwen_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "llama":
res = _send_llama_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "grok":
res = _send_grok_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
elif p == "llama_native":
res = _send_llama_native_result(
md_content, user_message, base_dir, file_items, discussion_history,
stream, pre_tool_callback, qa_callback, stream_callback, patch_callback
)
else:
res = Result(data="", errors=[ErrorInfo(kind=ErrorKind.CONFIG, message=f"unknown provider: {_provider}", source="ai_client.send_result")])
except Exception as exc:
res = Result(data="", errors=[ErrorInfo(kind=ErrorKind.INTERNAL, message=str(exc), source="ai_client.send_result", original=exc)])
if monitor.enabled: monitor.end_component("ai_client.send_result")
return res
def _add_bleed_derived(d: dict[str, Any], sys_tok: int = 0, tool_tok: int = 0) -> dict[str, Any]:
"""
[C: tests/test_token_viz.py:test_add_bleed_derived_aliases, tests/test_token_viz.py:test_add_bleed_derived_breakdown, tests/test_token_viz.py:test_add_bleed_derived_headroom, tests/test_token_viz.py:test_add_bleed_derived_headroom_clamped_to_zero, tests/test_token_viz.py:test_add_bleed_derived_history_clamped_to_zero, tests/test_token_viz.py:test_add_bleed_derived_would_trim_false, tests/test_token_viz.py:test_add_bleed_derived_would_trim_true, tests/test_token_viz.py:test_would_trim_boundary_exact, tests/test_token_viz.py:test_would_trim_just_above_threshold, tests/test_token_viz.py:test_would_trim_just_below_threshold]
+2 -2
View File
@@ -6,7 +6,7 @@ from src.result_types import Result, ErrorInfo, ErrorKind
def test_send_result_public_api_returns_result() -> None:
with patch.object(ai_client, "set_provider"):
with patch.object(ai_client, "_send_anthropic_result", return_value=Result(data="hello")) as mock_send:
with patch.object(ai_client, "_send_gemini_result", return_value=Result(data="hello")) as mock_send:
r = ai_client.send_result("system", "user")
assert isinstance(r, Result)
assert r.ok
@@ -27,7 +27,7 @@ def test_send_deprecated_emits_warning() -> None:
def test_send_result_preserves_errors() -> None:
err = ErrorInfo(kind=ErrorKind.RATE_LIMIT, message="slow down", source="test")
with patch.object(ai_client, "set_provider"):
with patch.object(ai_client, "_send_anthropic_result", return_value=Result(data="", errors=[err])):
with patch.object(ai_client, "_send_gemini_result", return_value=Result(data="", errors=[err])):
r = ai_client.send_result("system", "user")
assert not r.ok
assert r.errors == [err]
+1 -1
View File
@@ -17,7 +17,7 @@ def test_send_deprecated_warning_emitted_once_per_site() -> None:
def test_send_result_does_not_emit_deprecation() -> None:
with patch.object(ai_client, "set_provider"):
with patch.object(ai_client, "_send_anthropic_result", return_value=Result(data="x")):
with patch.object(ai_client, "_send_gemini_result", return_value=Result(data="x")):
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
ai_client.send_result("s", "u")