File size: 4,666 Bytes
95f8c4b | 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 | """Gemini-compatible HTTP/SSE response helpers."""
from __future__ import annotations
import base64
from aistudio_api.api.response_models import (
ErrorDetail,
ErrorResponse,
GeminiFunctionCallPayload,
GeminiFunctionResponsePayload,
GeminiInlineDataResponse,
GeminiPartResponse,
GeminiUsageMetadata,
)
from aistudio_api.domain.models import GeneratedImage
def _coerce_usage_int(value: object) -> int:
if isinstance(value, bool):
return 0
if isinstance(value, int):
return value
if isinstance(value, float) and value.is_integer():
return int(value)
if isinstance(value, str):
stripped = value.strip()
if stripped and (
stripped.isdigit() or (stripped[0] in "+-" and stripped[1:].isdigit())
):
return int(stripped)
return 0
def to_gemini_usage_metadata(usage: dict[str, object] | None = None) -> GeminiUsageMetadata:
usage = usage or {}
completion_details = usage.get("completion_tokens_details")
if not isinstance(completion_details, dict):
completion_details = {}
reasoning_tokens = _coerce_usage_int(completion_details.get("reasoning_tokens"))
visible_tokens = _coerce_usage_int(completion_details.get("visible_tokens"))
candidates_tokens = visible_tokens or _coerce_usage_int(
usage.get("completion_tokens")
)
prompt_tokens = _coerce_usage_int(usage.get("prompt_tokens"))
total_tokens = _coerce_usage_int(usage.get("total_tokens"))
if total_tokens == 0 and (prompt_tokens or candidates_tokens or reasoning_tokens):
total_tokens = prompt_tokens + _coerce_usage_int(usage.get("completion_tokens"))
return GeminiUsageMetadata(
promptTokenCount=prompt_tokens,
candidatesTokenCount=candidates_tokens,
thoughtsTokenCount=reasoning_tokens,
totalTokenCount=total_tokens,
)
def sse_error(message: str) -> str:
data = ErrorResponse(error=ErrorDetail(message=message, type="server_error"))
return f"data: {data.model_dump_json()}\n\n"
def to_gemini_parts(
content: str,
function_calls: list[dict[str, object]] | None = None,
function_responses: list[dict[str, object]] | None = None,
thinking: str = "",
images: list[GeneratedImage] | None = None,
reasoning_images: list[GeneratedImage] | None = None,
) -> list[GeminiPartResponse]:
parts: list[GeminiPartResponse] = []
if thinking:
parts.append(GeminiPartResponse(text=thinking, thought=True))
for image in reasoning_images or []:
parts.append(
GeminiPartResponse(
thought=True,
thoughtSignature=image.thought_signature or None,
inlineData=GeminiInlineDataResponse(
mimeType=image.mime,
data=base64.b64encode(image.data).decode("ascii"),
),
)
)
if content:
parts.append(GeminiPartResponse(text=content))
for image in images or []:
parts.append(
GeminiPartResponse(
thoughtSignature=image.thought_signature or None,
inlineData=GeminiInlineDataResponse(
mimeType=image.mime,
data=base64.b64encode(image.data).decode("ascii"),
),
)
)
for function_call in function_calls or []:
fc_name = str(function_call.get("name") or "unknown")
payload = GeminiFunctionCallPayload(name=fc_name)
if "args" in function_call:
payload.args = function_call["args"]
elif "arguments" in function_call:
payload.args = function_call["arguments"]
else:
raw_val = function_call.get("raw")
if isinstance(raw_val, list) and len(raw_val) > 1:
payload.args = raw_val[1]
parts.append(GeminiPartResponse(functionCall=payload))
for function_response in function_responses or []:
fr_name = str(function_response.get("name") or "unknown")
resp_payload = GeminiFunctionResponsePayload(name=fr_name)
if "args" in function_response:
resp_payload.response = function_response["args"]
elif "arguments" in function_response:
resp_payload.response = function_response["arguments"]
else:
raw_val = function_response.get("raw")
if isinstance(raw_val, list) and len(raw_val) > 1:
resp_payload.response = raw_val[1]
parts.append(GeminiPartResponse(functionResponse=resp_payload))
if not parts:
parts.append(GeminiPartResponse(text=""))
return parts
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