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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Miscellaneous fixes (#23044)

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* Move openai specific workaround so it doesn't apply to other providers

* Fix gemini tool calling

* Improve efficiency of frame listing for previews

* debug replay fixes

- initial selection without changing the radio button in the dialog would select 1 hour (rather than 1 minute)
- use CLIPS_DIR instead of CACHE_DIR so that longer replay clips don't cause tmpfs cache overflows

* don't re-render the tracking details overlay on every video time tick

* change pinned to planned

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen
2026-04-30 12:53:34 -05:00
committed by GitHub
co-authored by Josh Hawkins
parent 95b5b89ed9
commit 01a7ec1060
13 changed files with 106 additions and 47 deletions
Download Patch File Download Diff File Expand all files Collapse all files
frigate/genai/__init__.py
-3
View File
@@ -153,9 +153,6 @@ Each line represents a detection state, not necessarily unique individuals. The
if "other_concerns" in schema.get("required", []):
schema["required"].remove("other_concerns")
# OpenAI strict mode requires additionalProperties: false on all objects
schema["additionalProperties"] = False
response_format = {
"type": "json_schema",
"json_schema": {
frigate/genai/gemini.py
+52 -12
View File
@@ -136,11 +136,29 @@ class GeminiClient(GenAIClient):
)
)
elif role == "assistant":
gemini_messages.append(
types.Content(
role="model", parts=[types.Part.from_text(text=content)]
)
)
parts: list[types.Part] = []
if content:
parts.append(types.Part.from_text(text=content))
for tc in msg.get("tool_calls") or []:
func = tc.get("function") or {}
tc_name = func.get("name") or ""
tc_args: Any = func.get("arguments")
if isinstance(tc_args, str):
try:
tc_args = json.loads(tc_args)
except (json.JSONDecodeError, TypeError):
tc_args = {}
if not isinstance(tc_args, dict):
tc_args = {}
if tc_name:
parts.append(
types.Part.from_function_call(
name=tc_name, args=tc_args
)
)
if not parts:
parts.append(types.Part.from_text(text=" "))
gemini_messages.append(types.Content(role="model", parts=parts))
elif role == "tool":
# Handle tool response
response_payload = (
@@ -151,7 +169,9 @@ class GeminiClient(GenAIClient):
role="function",
parts=[
types.Part.from_function_response(
name=msg.get("name", ""),
name=msg.get("name")
or msg.get("tool_call_id")
or "",
response=response_payload,
)
],
@@ -345,11 +365,29 @@ class GeminiClient(GenAIClient):
)
)
elif role == "assistant":
gemini_messages.append(
types.Content(
role="model", parts=[types.Part.from_text(text=content)]
)
)
parts: list[types.Part] = []
if content:
parts.append(types.Part.from_text(text=content))
for tc in msg.get("tool_calls") or []:
func = tc.get("function") or {}
tc_name = func.get("name") or ""
tc_args: Any = func.get("arguments")
if isinstance(tc_args, str):
try:
tc_args = json.loads(tc_args)
except (json.JSONDecodeError, TypeError):
tc_args = {}
if not isinstance(tc_args, dict):
tc_args = {}
if tc_name:
parts.append(
types.Part.from_function_call(
name=tc_name, args=tc_args
)
)
if not parts:
parts.append(types.Part.from_text(text=" "))
gemini_messages.append(types.Content(role="model", parts=parts))
elif role == "tool":
# Handle tool response
response_payload = (
@@ -360,7 +398,9 @@ class GeminiClient(GenAIClient):
role="function",
parts=[
types.Part.from_function_response(
name=msg.get("name", ""),
name=msg.get("name")
or msg.get("tool_call_id")
or "",
response=response_payload,
)
],
frigate/genai/openai.py
+9
View File
@@ -73,8 +73,17 @@ class OpenAIClient(GenAIClient):
**self.genai_config.runtime_options,
}
if response_format:
# OpenAI strict mode requires additionalProperties: false on the schema
if response_format.get("type") == "json_schema" and response_format.get(
"json_schema", {}
).get("strict"):
schema = response_format.get("json_schema", {}).get("schema")
if isinstance(schema, dict):
schema["additionalProperties"] = False
request_params["response_format"] = response_format
result = self.provider.chat.completions.create(**request_params)
if (
result is not None
and hasattr(result, "choices")