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116524e | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | from typing import Any
from pydantic import BaseModel, ConfigDict, Field
class SessionConfig(BaseModel):
model: str | None = Field(default=None, min_length=1)
temperature: float | None = Field(default=None, ge=0, le=2)
max_tokens: int | None = Field(default=None, ge=1)
model_config = ConfigDict(extra="forbid")
class ErrorEnvelope(BaseModel):
code: str
message: str
details: dict[str, Any] | None = None
model_config = ConfigDict(extra="forbid")
class AskRequest(BaseModel):
session_id: str = Field(min_length=1)
question: str = Field(min_length=1, max_length=100000)
context: str = Field(default="")
session_config: SessionConfig | None = None
metadata: dict[str, Any] | None = None
model_config = ConfigDict(extra="forbid")
class AskResponse(BaseModel):
session_id: str
answer: str
skill_count: int = Field(ge=0)
model_config = ConfigDict(extra="forbid")
class SampleItem(BaseModel):
question: str = Field(min_length=1)
context: str = Field(default="")
ground_truth: str | None = Field(default=None)
metadata: dict[str, Any] | None = None
model_config = ConfigDict(extra="forbid")
class LearnSampleRequest(BaseModel):
session_id: str = Field(min_length=1)
samples: list[SampleItem] = Field(min_length=1, max_length=25)
epochs: int = Field(default=1, ge=1, le=20)
session_config: SessionConfig | None = None
model_config = ConfigDict(extra="forbid")
class LearnSampleResponse(BaseModel):
session_id: str
processed: int = Field(ge=0)
failed: int = Field(default=0, ge=0)
skill_count_before: int = Field(ge=0)
skill_count_after: int = Field(ge=0)
new_skill_count: int = Field(ge=0)
model_config = ConfigDict(extra="forbid")
class LearnFeedbackRequest(BaseModel):
session_id: str = Field(min_length=1)
question: str = Field(min_length=1)
answer: str = Field(min_length=1)
feedback: str = Field(min_length=1)
context: str = Field(default="")
ground_truth: str | None = Field(default=None)
session_config: SessionConfig | None = None
model_config = ConfigDict(extra="forbid")
class LearnFeedbackResponse(BaseModel):
session_id: str
learned: bool
skill_count_before: int = Field(ge=0)
skill_count_after: int = Field(ge=0)
new_skill_count: int = Field(ge=0)
model_config = ConfigDict(extra="forbid")
class SkillbookGetRequest(BaseModel):
session_id: str = Field(min_length=1)
limit: int = Field(default=20, ge=1, le=200)
include_invalid: bool = Field(default=False)
model_config = ConfigDict(extra="forbid")
class SkillItem(BaseModel):
id: str
content: str
topic: str | None = None
helpful: int | None = None
harmful: int | None = None
neutral: int | None = None
model_config = ConfigDict(extra="allow")
class SkillbookGetResponse(BaseModel):
session_id: str
stats: dict[str, Any]
skills: list[SkillItem]
model_config = ConfigDict(extra="forbid")
class SkillbookSaveRequest(BaseModel):
session_id: str = Field(min_length=1)
path: str = Field(min_length=1)
model_config = ConfigDict(extra="forbid")
class SkillbookSaveResponse(BaseModel):
session_id: str
path: str
saved_skill_count: int = Field(ge=0)
model_config = ConfigDict(extra="forbid")
class SkillbookLoadRequest(BaseModel):
session_id: str = Field(min_length=1)
path: str = Field(min_length=1)
model_config = ConfigDict(extra="forbid")
class SkillbookLoadResponse(BaseModel):
session_id: str
path: str
skill_count: int = Field(ge=0)
model_config = ConfigDict(extra="forbid")
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