mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-31 08:33:54 +00:00
single type
This commit is contained in:
Xi Yan
parent
bc71980769
commit
bec5a46915
3 changed files with 639 additions and 166 deletions
353
docs/_static/llama-stack-spec.html
vendored
353
docs/_static/llama-stack-spec.html
vendored
|
|
@ -6351,28 +6351,71 @@
|
|||
"title": "AggregationFunctionType",
|
||||
"description": "A type of aggregation function."
|
||||
},
|
||||
"BasicScoringFnParams": {
|
||||
"AnswerCorrectnessScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "basic",
|
||||
"default": "basic"
|
||||
},
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. No aggregation for results is calculated if not provided."
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "answer_correctness",
|
||||
"default": "answer_correctness"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "BasicScoringFnParams",
|
||||
"description": "Parameters for a non-parameterized scoring function."
|
||||
"title": "AnswerCorrectnessScoringFnParams"
|
||||
},
|
||||
"AnswerRelevancyScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "answer_relevancy",
|
||||
"default": "answer_relevancy"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "AnswerRelevancyScoringFnParams"
|
||||
},
|
||||
"AnswerSimilarityScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "answer_similarity",
|
||||
"default": "answer_similarity"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "AnswerSimilarityScoringFnParams"
|
||||
},
|
||||
"BenchmarkConfig": {
|
||||
"type": "object",
|
||||
|
|
@ -6401,6 +6444,116 @@
|
|||
"title": "BenchmarkConfig",
|
||||
"description": "A benchmark configuration for evaluation."
|
||||
},
|
||||
"ContextEntityRecallScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "context_entity_recall",
|
||||
"default": "context_entity_recall"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "ContextEntityRecallScoringFnParams"
|
||||
},
|
||||
"ContextPrecisionScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "context_precision",
|
||||
"default": "context_precision"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "ContextPrecisionScoringFnParams"
|
||||
},
|
||||
"ContextRecallScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "context_recall",
|
||||
"default": "context_recall"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "ContextRecallScoringFnParams"
|
||||
},
|
||||
"ContextRelevancyScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "context_relevancy",
|
||||
"default": "context_relevancy"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "ContextRelevancyScoringFnParams"
|
||||
},
|
||||
"EqualityScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "equality",
|
||||
"default": "equality"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "EqualityScoringFnParams"
|
||||
},
|
||||
"EvalCandidate": {
|
||||
"oneOf": [
|
||||
{
|
||||
|
|
@ -6418,6 +6571,50 @@
|
|||
}
|
||||
}
|
||||
},
|
||||
"FactualityScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "factuality",
|
||||
"default": "factuality"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "FactualityScoringFnParams"
|
||||
},
|
||||
"FaithfulnessScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "faithfulness",
|
||||
"default": "faithfulness"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "FaithfulnessScoringFnParams"
|
||||
},
|
||||
"LLMAsJudgeScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
|
|
@ -6427,26 +6624,22 @@
|
|||
"default": "custom_llm_as_judge"
|
||||
},
|
||||
"judge_model": {
|
||||
"type": "string",
|
||||
"description": "The model to use for scoring."
|
||||
"type": "string"
|
||||
},
|
||||
"prompt_template": {
|
||||
"type": "string",
|
||||
"description": "(Optional) The prompt template to use for scoring."
|
||||
"type": "string"
|
||||
},
|
||||
"judge_score_regexes": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "(Optional) Regexes to extract the score from the judge model's response."
|
||||
}
|
||||
},
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. No aggregation for results is calculated if not provided."
|
||||
}
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
|
|
@ -6454,8 +6647,7 @@
|
|||
"type",
|
||||
"judge_model"
|
||||
],
|
||||
"title": "LLMAsJudgeScoringFnParams",
|
||||
"description": "Parameters for a scoring function that uses a judge model to score the answer."
|
||||
"title": "LLMAsJudgeScoringFnParams"
|
||||
},
|
||||
"ModelCandidate": {
|
||||
"type": "object",
|
||||
|
|
@ -6487,35 +6679,65 @@
|
|||
"title": "ModelCandidate",
|
||||
"description": "A model candidate for evaluation."
|
||||
},
|
||||
"RegexParserScoringFnParams": {
|
||||
"RegexParserMathScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "regex_parser",
|
||||
"default": "regex_parser"
|
||||
},
|
||||
"parsing_regexes": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "Regexes to extract the answer from generated response"
|
||||
"description": "(Optional) Regexes to extract the answer from generated response."
|
||||
},
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. No aggregation for results is calculated if not provided."
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "regex_parser_math_response",
|
||||
"default": "regex_parser_math_response"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"parsing_regexes",
|
||||
"type"
|
||||
],
|
||||
"title": "RegexParserScoringFnParams",
|
||||
"description": "Parameters for a scoring function that parses the answer from the generated response using regexes, and checks against the expected answer."
|
||||
"title": "RegexParserMathScoringFnParams"
|
||||
},
|
||||
"RegexParserScoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"parsing_regexes": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"description": "(Optional) Regexes to extract the answer from generated response."
|
||||
},
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "regex_parser",
|
||||
"default": "regex_parser"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"parsing_regexes",
|
||||
"type"
|
||||
],
|
||||
"title": "RegexParserScoringFnParams"
|
||||
},
|
||||
"ScoringFnParams": {
|
||||
"oneOf": [
|
||||
|
|
@ -6526,7 +6748,40 @@
|
|||
"$ref": "#/components/schemas/RegexParserScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/BasicScoringFnParams"
|
||||
"$ref": "#/components/schemas/RegexParserMathScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/EqualityScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/SubsetOfcoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/FactualityScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/FaithfulnessScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/AnswerCorrectnessScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/AnswerRelevancyScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/AnswerSimilarityScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/ContextEntityRecallScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/ContextPrecisionScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/ContextRecallScoringFnParams"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/schemas/ContextRelevancyScoringFnParams"
|
||||
}
|
||||
],
|
||||
"discriminator": {
|
||||
|
|
@ -6534,10 +6789,43 @@
|
|||
"mapping": {
|
||||
"custom_llm_as_judge": "#/components/schemas/LLMAsJudgeScoringFnParams",
|
||||
"regex_parser": "#/components/schemas/RegexParserScoringFnParams",
|
||||
"basic": "#/components/schemas/BasicScoringFnParams"
|
||||
"regex_parser_math_response": "#/components/schemas/RegexParserMathScoringFnParams",
|
||||
"equality": "#/components/schemas/EqualityScoringFnParams",
|
||||
"subset_of": "#/components/schemas/SubsetOfcoringFnParams",
|
||||
"factuality": "#/components/schemas/FactualityScoringFnParams",
|
||||
"faithfulness": "#/components/schemas/FaithfulnessScoringFnParams",
|
||||
"answer_correctness": "#/components/schemas/AnswerCorrectnessScoringFnParams",
|
||||
"answer_relevancy": "#/components/schemas/AnswerRelevancyScoringFnParams",
|
||||
"answer_similarity": "#/components/schemas/AnswerSimilarityScoringFnParams",
|
||||
"context_entity_recall": "#/components/schemas/ContextEntityRecallScoringFnParams",
|
||||
"context_precision": "#/components/schemas/ContextPrecisionScoringFnParams",
|
||||
"context_recall": "#/components/schemas/ContextRecallScoringFnParams",
|
||||
"context_relevancy": "#/components/schemas/ContextRelevancyScoringFnParams"
|
||||
}
|
||||
}
|
||||
},
|
||||
"SubsetOfcoringFnParams": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"aggregation_functions": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/AggregationFunctionType"
|
||||
},
|
||||
"description": "(Optional) Aggregation functions to apply to the scores of each row. If not provided, no aggregation will be performed."
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"const": "subset_of",
|
||||
"default": "subset_of"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"type"
|
||||
],
|
||||
"title": "SubsetOfcoringFnParams"
|
||||
},
|
||||
"EvaluateRowsRequest": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
|
|
@ -9371,7 +9659,8 @@
|
|||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"scoring_fn_type"
|
||||
"scoring_fn_type",
|
||||
"params"
|
||||
],
|
||||
"title": "RegisterScoringFunctionRequest"
|
||||
},
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue