diff --git a/docs/static/deprecated-llama-stack-spec.html b/docs/static/deprecated-llama-stack-spec.html index fe63f78bc..7edfe3f5d 100644 --- a/docs/static/deprecated-llama-stack-spec.html +++ b/docs/static/deprecated-llama-stack-spec.html @@ -4289,6 +4289,10 @@ "ToolDef": { "type": "object", "properties": { + "toolgroup_id": { + "type": "string", + "description": "(Optional) ID of the tool group this tool belongs to" + }, "name": { "type": "string", "description": "Name of the tool" @@ -4297,12 +4301,57 @@ "type": "string", "description": "(Optional) Human-readable description of what the tool does" }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" + "input_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] }, - "description": "(Optional) List of parameters this tool accepts" + "description": "(Optional) JSON Schema for tool inputs (MCP inputSchema)" + }, + "output_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + }, + "description": "(Optional) JSON Schema for tool outputs (MCP outputSchema)" }, "metadata": { "type": "object", @@ -4338,68 +4387,6 @@ "title": "ToolDef", "description": "Tool definition used in runtime contexts." }, - "ToolParameter": { - "type": "object", - "properties": { - "name": { - "type": "string", - "description": "Name of the parameter" - }, - "parameter_type": { - "type": "string", - "description": "Type of the parameter (e.g., string, integer)" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the parameter does" - }, - "required": { - "type": "boolean", - "default": true, - "description": "Whether this parameter is required for tool invocation" - }, - "items": { - "type": "object", - "description": "Type of the elements when parameter_type is array" - }, - "title": { - "type": "string", - "description": "(Optional) Title of the parameter" - }, - "default": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ], - "description": "(Optional) Default value for the parameter if not provided" - } - }, - "additionalProperties": false, - "required": [ - "name", - "parameter_type", - "description", - "required" - ], - "title": "ToolParameter", - "description": "Parameter definition for a tool." - }, "TopKSamplingStrategy": { "type": "object", "properties": { @@ -4915,79 +4902,6 @@ ] }, "arguments": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - }, - { - "type": "array", - "items": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - } - ] - } - } - ] - }, - "arguments_json": { "type": "string" } }, diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index 9b1d3eff6..ca832d46b 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -3143,6 +3143,10 @@ components: ToolDef: type: object properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to name: type: string description: Name of the tool @@ -3150,12 +3154,30 @@ components: type: string description: >- (Optional) Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object description: >- - (Optional) List of parameters this tool accepts + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) metadata: type: object additionalProperties: @@ -3174,50 +3196,6 @@ components: title: ToolDef description: >- Tool definition used in runtime contexts. - ToolParameter: - type: object - properties: - name: - type: string - description: Name of the parameter - parameter_type: - type: string - description: >- - Type of the parameter (e.g., string, integer) - description: - type: string - description: >- - Human-readable description of what the parameter does - required: - type: boolean - default: true - description: >- - Whether this parameter is required for tool invocation - items: - type: object - description: >- - Type of the elements when parameter_type is array - title: - type: string - description: (Optional) Title of the parameter - default: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Default value for the parameter if not provided - additionalProperties: false - required: - - name - - parameter_type - - description - - required - title: ToolParameter - description: Parameter definition for a tool. TopKSamplingStrategy: type: object properties: @@ -3630,33 +3608,6 @@ components: title: BuiltinTool - type: string arguments: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: array - items: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - arguments_json: type: string additionalProperties: false required: diff --git a/docs/static/experimental-llama-stack-spec.html b/docs/static/experimental-llama-stack-spec.html index fe57f9132..a84226c05 100644 --- a/docs/static/experimental-llama-stack-spec.html +++ b/docs/static/experimental-llama-stack-spec.html @@ -2784,6 +2784,10 @@ "ToolDef": { "type": "object", "properties": { + "toolgroup_id": { + "type": "string", + "description": "(Optional) ID of the tool group this tool belongs to" + }, "name": { "type": "string", "description": "Name of the tool" @@ -2792,12 +2796,57 @@ "type": "string", "description": "(Optional) Human-readable description of what the tool does" }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" + "input_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] }, - "description": "(Optional) List of parameters this tool accepts" + "description": "(Optional) JSON Schema for tool inputs (MCP inputSchema)" + }, + "output_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + }, + "description": "(Optional) JSON Schema for tool outputs (MCP outputSchema)" }, "metadata": { "type": "object", @@ -2833,68 +2882,6 @@ "title": "ToolDef", "description": "Tool definition used in runtime contexts." }, - "ToolParameter": { - "type": "object", - "properties": { - "name": { - "type": "string", - "description": "Name of the parameter" - }, - "parameter_type": { - "type": "string", - "description": "Type of the parameter (e.g., string, integer)" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the parameter does" - }, - "required": { - "type": "boolean", - "default": true, - "description": "Whether this parameter is required for tool invocation" - }, - "items": { - "type": "object", - "description": "Type of the elements when parameter_type is array" - }, - "title": { - "type": "string", - "description": "(Optional) Title of the parameter" - }, - "default": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ], - "description": "(Optional) Default value for the parameter if not provided" - } - }, - "additionalProperties": false, - "required": [ - "name", - "parameter_type", - "description", - "required" - ], - "title": "ToolParameter", - "description": "Parameter definition for a tool." - }, "TopKSamplingStrategy": { "type": "object", "properties": { @@ -3410,79 +3397,6 @@ ] }, "arguments": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - }, - { - "type": "array", - "items": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - } - ] - } - } - ] - }, - "arguments_json": { "type": "string" } }, diff --git a/docs/static/experimental-llama-stack-spec.yaml b/docs/static/experimental-llama-stack-spec.yaml index 85129336f..a08c0cc87 100644 --- a/docs/static/experimental-llama-stack-spec.yaml +++ b/docs/static/experimental-llama-stack-spec.yaml @@ -2002,6 +2002,10 @@ components: ToolDef: type: object properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to name: type: string description: Name of the tool @@ -2009,12 +2013,30 @@ components: type: string description: >- (Optional) Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object description: >- - (Optional) List of parameters this tool accepts + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) metadata: type: object additionalProperties: @@ -2033,50 +2055,6 @@ components: title: ToolDef description: >- Tool definition used in runtime contexts. - ToolParameter: - type: object - properties: - name: - type: string - description: Name of the parameter - parameter_type: - type: string - description: >- - Type of the parameter (e.g., string, integer) - description: - type: string - description: >- - Human-readable description of what the parameter does - required: - type: boolean - default: true - description: >- - Whether this parameter is required for tool invocation - items: - type: object - description: >- - Type of the elements when parameter_type is array - title: - type: string - description: (Optional) Title of the parameter - default: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Default value for the parameter if not provided - additionalProperties: false - required: - - name - - parameter_type - - description - - required - title: ToolParameter - description: Parameter definition for a tool. TopKSamplingStrategy: type: object properties: @@ -2489,33 +2467,6 @@ components: title: BuiltinTool - type: string arguments: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: array - items: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - arguments_json: type: string additionalProperties: false required: diff --git a/docs/static/llama-stack-spec.html b/docs/static/llama-stack-spec.html index fa16e62ee..4693d39e0 100644 --- a/docs/static/llama-stack-spec.html +++ b/docs/static/llama-stack-spec.html @@ -2404,11 +2404,11 @@ "get": { "responses": { "200": { - "description": "A ListToolsResponse.", + "description": "A ListToolDefsResponse.", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListToolsResponse" + "$ref": "#/components/schemas/ListToolDefsResponse" } } } @@ -2449,11 +2449,11 @@ "get": { "responses": { "200": { - "description": "A Tool.", + "description": "A ToolDef.", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Tool" + "$ref": "#/components/schemas/ToolDef" } } } @@ -8490,79 +8490,6 @@ ] }, "arguments": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - }, - { - "type": "array", - "items": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - } - ] - } - } - ] - }, - "arguments_json": { "type": "string" } }, @@ -10156,6 +10083,10 @@ "ToolDef": { "type": "object", "properties": { + "toolgroup_id": { + "type": "string", + "description": "(Optional) ID of the tool group this tool belongs to" + }, "name": { "type": "string", "description": "Name of the tool" @@ -10164,12 +10095,57 @@ "type": "string", "description": "(Optional) Human-readable description of what the tool does" }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" + "input_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] }, - "description": "(Optional) List of parameters this tool accepts" + "description": "(Optional) JSON Schema for tool inputs (MCP inputSchema)" + }, + "output_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + }, + "description": "(Optional) JSON Schema for tool outputs (MCP outputSchema)" }, "metadata": { "type": "object", @@ -10205,68 +10181,6 @@ "title": "ToolDef", "description": "Tool definition used in runtime contexts." }, - "ToolParameter": { - "type": "object", - "properties": { - "name": { - "type": "string", - "description": "Name of the parameter" - }, - "parameter_type": { - "type": "string", - "description": "Type of the parameter (e.g., string, integer)" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the parameter does" - }, - "required": { - "type": "boolean", - "default": true, - "description": "Whether this parameter is required for tool invocation" - }, - "items": { - "type": "object", - "description": "Type of the elements when parameter_type is array" - }, - "title": { - "type": "string", - "description": "(Optional) Title of the parameter" - }, - "default": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ], - "description": "(Optional) Default value for the parameter if not provided" - } - }, - "additionalProperties": false, - "required": [ - "name", - "parameter_type", - "description", - "required" - ], - "title": "ToolParameter", - "description": "Parameter definition for a tool." - }, "ListToolDefsResponse": { "type": "object", "properties": { @@ -10761,107 +10675,6 @@ ], "title": "RegisterToolGroupRequest" }, - "Tool": { - "type": "object", - "properties": { - "identifier": { - "type": "string" - }, - "provider_resource_id": { - "type": "string" - }, - "provider_id": { - "type": "string" - }, - "type": { - "type": "string", - "enum": [ - "model", - "shield", - "vector_db", - "dataset", - "scoring_function", - "benchmark", - "tool", - "tool_group", - "prompt" - ], - "const": "tool", - "default": "tool", - "description": "Type of resource, always 'tool'" - }, - "toolgroup_id": { - "type": "string", - "description": "ID of the tool group this tool belongs to" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the tool does" - }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" - }, - "description": "List of parameters this tool accepts" - }, - "metadata": { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] - }, - "description": "(Optional) Additional metadata about the tool" - } - }, - "additionalProperties": false, - "required": [ - "identifier", - "provider_id", - "type", - "toolgroup_id", - "description", - "parameters" - ], - "title": "Tool", - "description": "A tool that can be invoked by agents." - }, - "ListToolsResponse": { - "type": "object", - "properties": { - "data": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "List of tools" - } - }, - "additionalProperties": false, - "required": [ - "data" - ], - "title": "ListToolsResponse", - "description": "Response containing a list of tools." - }, "VectorDB": { "type": "object", "properties": { diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index 733e2cd21..7d275a221 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -1753,11 +1753,11 @@ paths: get: responses: '200': - description: A ListToolsResponse. + description: A ListToolDefsResponse. content: application/json: schema: - $ref: '#/components/schemas/ListToolsResponse' + $ref: '#/components/schemas/ListToolDefsResponse' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -1785,11 +1785,11 @@ paths: get: responses: '200': - description: A Tool. + description: A ToolDef. content: application/json: schema: - $ref: '#/components/schemas/Tool' + $ref: '#/components/schemas/ToolDef' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -6398,33 +6398,6 @@ components: title: BuiltinTool - type: string arguments: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: array - items: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - arguments_json: type: string additionalProperties: false required: @@ -7552,6 +7525,10 @@ components: ToolDef: type: object properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to name: type: string description: Name of the tool @@ -7559,12 +7536,30 @@ components: type: string description: >- (Optional) Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object description: >- - (Optional) List of parameters this tool accepts + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) metadata: type: object additionalProperties: @@ -7583,50 +7578,6 @@ components: title: ToolDef description: >- Tool definition used in runtime contexts. - ToolParameter: - type: object - properties: - name: - type: string - description: Name of the parameter - parameter_type: - type: string - description: >- - Type of the parameter (e.g., string, integer) - description: - type: string - description: >- - Human-readable description of what the parameter does - required: - type: boolean - default: true - description: >- - Whether this parameter is required for tool invocation - items: - type: object - description: >- - Type of the elements when parameter_type is array - title: - type: string - description: (Optional) Title of the parameter - default: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Default value for the parameter if not provided - additionalProperties: false - required: - - name - - parameter_type - - description - - required - title: ToolParameter - description: Parameter definition for a tool. ListToolDefsResponse: type: object properties: @@ -8002,78 +7953,6 @@ components: - toolgroup_id - provider_id title: RegisterToolGroupRequest - Tool: - type: object - properties: - identifier: - type: string - provider_resource_id: - type: string - provider_id: - type: string - type: - type: string - enum: - - model - - shield - - vector_db - - dataset - - scoring_function - - benchmark - - tool - - tool_group - - prompt - const: tool - default: tool - description: Type of resource, always 'tool' - toolgroup_id: - type: string - description: >- - ID of the tool group this tool belongs to - description: - type: string - description: >- - Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' - description: List of parameters this tool accepts - metadata: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Additional metadata about the tool - additionalProperties: false - required: - - identifier - - provider_id - - type - - toolgroup_id - - description - - parameters - title: Tool - description: A tool that can be invoked by agents. - ListToolsResponse: - type: object - properties: - data: - type: array - items: - $ref: '#/components/schemas/Tool' - description: List of tools - additionalProperties: false - required: - - data - title: ListToolsResponse - description: Response containing a list of tools. VectorDB: type: object properties: diff --git a/docs/static/stainless-llama-stack-spec.html b/docs/static/stainless-llama-stack-spec.html index 72ecb5bb5..1ae477e7e 100644 --- a/docs/static/stainless-llama-stack-spec.html +++ b/docs/static/stainless-llama-stack-spec.html @@ -2404,11 +2404,11 @@ "get": { "responses": { "200": { - "description": "A ListToolsResponse.", + "description": "A ListToolDefsResponse.", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListToolsResponse" + "$ref": "#/components/schemas/ListToolDefsResponse" } } } @@ -2449,11 +2449,11 @@ "get": { "responses": { "200": { - "description": "A Tool.", + "description": "A ToolDef.", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Tool" + "$ref": "#/components/schemas/ToolDef" } } } @@ -10499,79 +10499,6 @@ ] }, "arguments": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - }, - { - "type": "array", - "items": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - }, - { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "string" - }, - { - "type": "integer" - }, - { - "type": "number" - }, - { - "type": "boolean" - }, - { - "type": "null" - } - ] - } - } - ] - } - } - ] - }, - "arguments_json": { "type": "string" } }, @@ -12165,6 +12092,10 @@ "ToolDef": { "type": "object", "properties": { + "toolgroup_id": { + "type": "string", + "description": "(Optional) ID of the tool group this tool belongs to" + }, "name": { "type": "string", "description": "Name of the tool" @@ -12173,12 +12104,57 @@ "type": "string", "description": "(Optional) Human-readable description of what the tool does" }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" + "input_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] }, - "description": "(Optional) List of parameters this tool accepts" + "description": "(Optional) JSON Schema for tool inputs (MCP inputSchema)" + }, + "output_schema": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + }, + "description": "(Optional) JSON Schema for tool outputs (MCP outputSchema)" }, "metadata": { "type": "object", @@ -12214,68 +12190,6 @@ "title": "ToolDef", "description": "Tool definition used in runtime contexts." }, - "ToolParameter": { - "type": "object", - "properties": { - "name": { - "type": "string", - "description": "Name of the parameter" - }, - "parameter_type": { - "type": "string", - "description": "Type of the parameter (e.g., string, integer)" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the parameter does" - }, - "required": { - "type": "boolean", - "default": true, - "description": "Whether this parameter is required for tool invocation" - }, - "items": { - "type": "object", - "description": "Type of the elements when parameter_type is array" - }, - "title": { - "type": "string", - "description": "(Optional) Title of the parameter" - }, - "default": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ], - "description": "(Optional) Default value for the parameter if not provided" - } - }, - "additionalProperties": false, - "required": [ - "name", - "parameter_type", - "description", - "required" - ], - "title": "ToolParameter", - "description": "Parameter definition for a tool." - }, "ListToolDefsResponse": { "type": "object", "properties": { @@ -12770,107 +12684,6 @@ ], "title": "RegisterToolGroupRequest" }, - "Tool": { - "type": "object", - "properties": { - "identifier": { - "type": "string" - }, - "provider_resource_id": { - "type": "string" - }, - "provider_id": { - "type": "string" - }, - "type": { - "type": "string", - "enum": [ - "model", - "shield", - "vector_db", - "dataset", - "scoring_function", - "benchmark", - "tool", - "tool_group", - "prompt" - ], - "const": "tool", - "default": "tool", - "description": "Type of resource, always 'tool'" - }, - "toolgroup_id": { - "type": "string", - "description": "ID of the tool group this tool belongs to" - }, - "description": { - "type": "string", - "description": "Human-readable description of what the tool does" - }, - "parameters": { - "type": "array", - "items": { - "$ref": "#/components/schemas/ToolParameter" - }, - "description": "List of parameters this tool accepts" - }, - "metadata": { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] - }, - "description": "(Optional) Additional metadata about the tool" - } - }, - "additionalProperties": false, - "required": [ - "identifier", - "provider_id", - "type", - "toolgroup_id", - "description", - "parameters" - ], - "title": "Tool", - "description": "A tool that can be invoked by agents." - }, - "ListToolsResponse": { - "type": "object", - "properties": { - "data": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "List of tools" - } - }, - "additionalProperties": false, - "required": [ - "data" - ], - "title": "ListToolsResponse", - "description": "Response containing a list of tools." - }, "VectorDB": { "type": "object", "properties": { diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 151ea1029..cb2584d8a 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -1756,11 +1756,11 @@ paths: get: responses: '200': - description: A ListToolsResponse. + description: A ListToolDefsResponse. content: application/json: schema: - $ref: '#/components/schemas/ListToolsResponse' + $ref: '#/components/schemas/ListToolDefsResponse' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -1788,11 +1788,11 @@ paths: get: responses: '200': - description: A Tool. + description: A ToolDef. content: application/json: schema: - $ref: '#/components/schemas/Tool' + $ref: '#/components/schemas/ToolDef' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -7843,33 +7843,6 @@ components: title: BuiltinTool - type: string arguments: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: array - items: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - - type: object - additionalProperties: - oneOf: - - type: string - - type: integer - - type: number - - type: boolean - - type: 'null' - arguments_json: type: string additionalProperties: false required: @@ -8997,6 +8970,10 @@ components: ToolDef: type: object properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to name: type: string description: Name of the tool @@ -9004,12 +8981,30 @@ components: type: string description: >- (Optional) Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object description: >- - (Optional) List of parameters this tool accepts + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) metadata: type: object additionalProperties: @@ -9028,50 +9023,6 @@ components: title: ToolDef description: >- Tool definition used in runtime contexts. - ToolParameter: - type: object - properties: - name: - type: string - description: Name of the parameter - parameter_type: - type: string - description: >- - Type of the parameter (e.g., string, integer) - description: - type: string - description: >- - Human-readable description of what the parameter does - required: - type: boolean - default: true - description: >- - Whether this parameter is required for tool invocation - items: - type: object - description: >- - Type of the elements when parameter_type is array - title: - type: string - description: (Optional) Title of the parameter - default: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Default value for the parameter if not provided - additionalProperties: false - required: - - name - - parameter_type - - description - - required - title: ToolParameter - description: Parameter definition for a tool. ListToolDefsResponse: type: object properties: @@ -9447,78 +9398,6 @@ components: - toolgroup_id - provider_id title: RegisterToolGroupRequest - Tool: - type: object - properties: - identifier: - type: string - provider_resource_id: - type: string - provider_id: - type: string - type: - type: string - enum: - - model - - shield - - vector_db - - dataset - - scoring_function - - benchmark - - tool - - tool_group - - prompt - const: tool - default: tool - description: Type of resource, always 'tool' - toolgroup_id: - type: string - description: >- - ID of the tool group this tool belongs to - description: - type: string - description: >- - Human-readable description of what the tool does - parameters: - type: array - items: - $ref: '#/components/schemas/ToolParameter' - description: List of parameters this tool accepts - metadata: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Additional metadata about the tool - additionalProperties: false - required: - - identifier - - provider_id - - type - - toolgroup_id - - description - - parameters - title: Tool - description: A tool that can be invoked by agents. - ListToolsResponse: - type: object - properties: - data: - type: array - items: - $ref: '#/components/schemas/Tool' - description: List of tools - additionalProperties: false - required: - - data - title: ListToolsResponse - description: Response containing a list of tools. VectorDB: type: object properties: diff --git a/llama_stack/apis/inference/inference.py b/llama_stack/apis/inference/inference.py index d71aea38e..829a94a6a 100644 --- a/llama_stack/apis/inference/inference.py +++ b/llama_stack/apis/inference/inference.py @@ -27,14 +27,12 @@ from llama_stack.models.llama.datatypes import ( StopReason, ToolCall, ToolDefinition, - ToolParamDefinition, ToolPromptFormat, ) from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol from llama_stack.schema_utils import json_schema_type, register_schema, webmethod register_schema(ToolCall) -register_schema(ToolParamDefinition) register_schema(ToolDefinition) from enum import StrEnum diff --git a/llama_stack/apis/tools/tools.py b/llama_stack/apis/tools/tools.py index 0ebbe8c50..b6a1a2543 100644 --- a/llama_stack/apis/tools/tools.py +++ b/llama_stack/apis/tools/tools.py @@ -7,7 +7,7 @@ from enum import Enum from typing import Any, Literal, Protocol -from pydantic import BaseModel, Field +from pydantic import BaseModel from typing_extensions import runtime_checkable from llama_stack.apis.common.content_types import URL, InterleavedContent @@ -19,59 +19,23 @@ from llama_stack.schema_utils import json_schema_type, webmethod from .rag_tool import RAGToolRuntime -@json_schema_type -class ToolParameter(BaseModel): - """Parameter definition for a tool. - - :param name: Name of the parameter - :param parameter_type: Type of the parameter (e.g., string, integer) - :param description: Human-readable description of what the parameter does - :param required: Whether this parameter is required for tool invocation - :param items: Type of the elements when parameter_type is array - :param title: (Optional) Title of the parameter - :param default: (Optional) Default value for the parameter if not provided - """ - - name: str - parameter_type: str - description: str - required: bool = Field(default=True) - items: dict | None = None - title: str | None = None - default: Any | None = None - - -@json_schema_type -class Tool(Resource): - """A tool that can be invoked by agents. - - :param type: Type of resource, always 'tool' - :param toolgroup_id: ID of the tool group this tool belongs to - :param description: Human-readable description of what the tool does - :param parameters: List of parameters this tool accepts - :param metadata: (Optional) Additional metadata about the tool - """ - - type: Literal[ResourceType.tool] = ResourceType.tool - toolgroup_id: str - description: str - parameters: list[ToolParameter] - metadata: dict[str, Any] | None = None - - @json_schema_type class ToolDef(BaseModel): """Tool definition used in runtime contexts. :param name: Name of the tool :param description: (Optional) Human-readable description of what the tool does - :param parameters: (Optional) List of parameters this tool accepts + :param input_schema: (Optional) JSON Schema for tool inputs (MCP inputSchema) + :param output_schema: (Optional) JSON Schema for tool outputs (MCP outputSchema) :param metadata: (Optional) Additional metadata about the tool + :param toolgroup_id: (Optional) ID of the tool group this tool belongs to """ + toolgroup_id: str | None = None name: str description: str | None = None - parameters: list[ToolParameter] | None = None + input_schema: dict[str, Any] | None = None + output_schema: dict[str, Any] | None = None metadata: dict[str, Any] | None = None @@ -122,7 +86,7 @@ class ToolInvocationResult(BaseModel): class ToolStore(Protocol): - async def get_tool(self, tool_name: str) -> Tool: ... + async def get_tool(self, tool_name: str) -> ToolDef: ... async def get_tool_group(self, toolgroup_id: str) -> ToolGroup: ... @@ -135,15 +99,6 @@ class ListToolGroupsResponse(BaseModel): data: list[ToolGroup] -class ListToolsResponse(BaseModel): - """Response containing a list of tools. - - :param data: List of tools - """ - - data: list[Tool] - - class ListToolDefsResponse(BaseModel): """Response containing a list of tool definitions. @@ -194,11 +149,11 @@ class ToolGroups(Protocol): ... @webmethod(route="/tools", method="GET", level=LLAMA_STACK_API_V1) - async def list_tools(self, toolgroup_id: str | None = None) -> ListToolsResponse: + async def list_tools(self, toolgroup_id: str | None = None) -> ListToolDefsResponse: """List tools with optional tool group. :param toolgroup_id: The ID of the tool group to list tools for. - :returns: A ListToolsResponse. + :returns: A ListToolDefsResponse. """ ... @@ -206,11 +161,11 @@ class ToolGroups(Protocol): async def get_tool( self, tool_name: str, - ) -> Tool: + ) -> ToolDef: """Get a tool by its name. :param tool_name: The name of the tool to get. - :returns: A Tool. + :returns: A ToolDef. """ ... diff --git a/llama_stack/core/datatypes.py b/llama_stack/core/datatypes.py index 6a297f012..930cf2646 100644 --- a/llama_stack/core/datatypes.py +++ b/llama_stack/core/datatypes.py @@ -22,7 +22,7 @@ from llama_stack.apis.safety import Safety from llama_stack.apis.scoring import Scoring from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnInput from llama_stack.apis.shields import Shield, ShieldInput -from llama_stack.apis.tools import Tool, ToolGroup, ToolGroupInput, ToolRuntime +from llama_stack.apis.tools import ToolGroup, ToolGroupInput, ToolRuntime from llama_stack.apis.vector_dbs import VectorDB, VectorDBInput from llama_stack.apis.vector_io import VectorIO from llama_stack.core.access_control.datatypes import AccessRule @@ -84,15 +84,11 @@ class BenchmarkWithOwner(Benchmark, ResourceWithOwner): pass -class ToolWithOwner(Tool, ResourceWithOwner): - pass - - class ToolGroupWithOwner(ToolGroup, ResourceWithOwner): pass -RoutableObject = Model | Shield | VectorDB | Dataset | ScoringFn | Benchmark | Tool | ToolGroup +RoutableObject = Model | Shield | VectorDB | Dataset | ScoringFn | Benchmark | ToolGroup RoutableObjectWithProvider = Annotated[ ModelWithOwner @@ -101,7 +97,6 @@ RoutableObjectWithProvider = Annotated[ | DatasetWithOwner | ScoringFnWithOwner | BenchmarkWithOwner - | ToolWithOwner | ToolGroupWithOwner, Field(discriminator="type"), ] diff --git a/llama_stack/core/routers/tool_runtime.py b/llama_stack/core/routers/tool_runtime.py index fd606f33b..ad82293e5 100644 --- a/llama_stack/core/routers/tool_runtime.py +++ b/llama_stack/core/routers/tool_runtime.py @@ -11,7 +11,7 @@ from llama_stack.apis.common.content_types import ( InterleavedContent, ) from llama_stack.apis.tools import ( - ListToolsResponse, + ListToolDefsResponse, RAGDocument, RAGQueryConfig, RAGQueryResult, @@ -86,6 +86,6 @@ class ToolRuntimeRouter(ToolRuntime): async def list_runtime_tools( self, tool_group_id: str | None = None, mcp_endpoint: URL | None = None - ) -> ListToolsResponse: + ) -> ListToolDefsResponse: logger.debug(f"ToolRuntimeRouter.list_runtime_tools: {tool_group_id}") return await self.routing_table.list_tools(tool_group_id) diff --git a/llama_stack/core/routing_tables/toolgroups.py b/llama_stack/core/routing_tables/toolgroups.py index 8172b9b5f..2d47bbb17 100644 --- a/llama_stack/core/routing_tables/toolgroups.py +++ b/llama_stack/core/routing_tables/toolgroups.py @@ -8,7 +8,7 @@ from typing import Any from llama_stack.apis.common.content_types import URL from llama_stack.apis.common.errors import ToolGroupNotFoundError -from llama_stack.apis.tools import ListToolGroupsResponse, ListToolsResponse, Tool, ToolGroup, ToolGroups +from llama_stack.apis.tools import ListToolDefsResponse, ListToolGroupsResponse, ToolDef, ToolGroup, ToolGroups from llama_stack.core.datatypes import AuthenticationRequiredError, ToolGroupWithOwner from llama_stack.log import get_logger @@ -27,7 +27,7 @@ def parse_toolgroup_from_toolgroup_name_pair(toolgroup_name_with_maybe_tool_name class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups): - toolgroups_to_tools: dict[str, list[Tool]] = {} + toolgroups_to_tools: dict[str, list[ToolDef]] = {} tool_to_toolgroup: dict[str, str] = {} # overridden @@ -43,7 +43,7 @@ class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups): routing_key = self.tool_to_toolgroup[routing_key] return await super().get_provider_impl(routing_key, provider_id) - async def list_tools(self, toolgroup_id: str | None = None) -> ListToolsResponse: + async def list_tools(self, toolgroup_id: str | None = None) -> ListToolDefsResponse: if toolgroup_id: if group_id := parse_toolgroup_from_toolgroup_name_pair(toolgroup_id): toolgroup_id = group_id @@ -68,30 +68,19 @@ class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups): continue all_tools.extend(self.toolgroups_to_tools[toolgroup.identifier]) - return ListToolsResponse(data=all_tools) + return ListToolDefsResponse(data=all_tools) async def _index_tools(self, toolgroup: ToolGroup): provider_impl = await super().get_provider_impl(toolgroup.identifier, toolgroup.provider_id) tooldefs_response = await provider_impl.list_runtime_tools(toolgroup.identifier, toolgroup.mcp_endpoint) - # TODO: kill this Tool vs ToolDef distinction tooldefs = tooldefs_response.data - tools = [] for t in tooldefs: - tools.append( - Tool( - identifier=t.name, - toolgroup_id=toolgroup.identifier, - description=t.description or "", - parameters=t.parameters or [], - metadata=t.metadata, - provider_id=toolgroup.provider_id, - ) - ) + t.toolgroup_id = toolgroup.identifier - self.toolgroups_to_tools[toolgroup.identifier] = tools - for tool in tools: - self.tool_to_toolgroup[tool.identifier] = toolgroup.identifier + self.toolgroups_to_tools[toolgroup.identifier] = tooldefs + for tool in tooldefs: + self.tool_to_toolgroup[tool.name] = toolgroup.identifier async def list_tool_groups(self) -> ListToolGroupsResponse: return ListToolGroupsResponse(data=await self.get_all_with_type("tool_group")) @@ -102,12 +91,12 @@ class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups): raise ToolGroupNotFoundError(toolgroup_id) return tool_group - async def get_tool(self, tool_name: str) -> Tool: + async def get_tool(self, tool_name: str) -> ToolDef: if tool_name in self.tool_to_toolgroup: toolgroup_id = self.tool_to_toolgroup[tool_name] tools = self.toolgroups_to_tools[toolgroup_id] for tool in tools: - if tool.identifier == tool_name: + if tool.name == tool_name: return tool raise ValueError(f"Tool '{tool_name}' not found") @@ -132,7 +121,6 @@ class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups): # baked in some of the code and tests right now. if not toolgroup.mcp_endpoint: await self._index_tools(toolgroup) - return toolgroup async def unregister_toolgroup(self, toolgroup_id: str) -> None: await self.unregister_object(await self.get_tool_group(toolgroup_id)) diff --git a/llama_stack/core/server/server.py b/llama_stack/core/server/server.py index 7d119c139..873335775 100644 --- a/llama_stack/core/server/server.py +++ b/llama_stack/core/server/server.py @@ -257,7 +257,7 @@ def create_dynamic_typed_route(func: Any, method: str, route: str) -> Callable: return result except Exception as e: - if logger.isEnabledFor(logging.DEBUG): + if logger.isEnabledFor(logging.INFO): logger.exception(f"Error executing endpoint {route=} {method=}") else: logger.error(f"Error executing endpoint {route=} {method=}: {str(e)}") diff --git a/llama_stack/core/store/registry.py b/llama_stack/core/store/registry.py index 5f4abe9aa..624dbd176 100644 --- a/llama_stack/core/store/registry.py +++ b/llama_stack/core/store/registry.py @@ -36,7 +36,7 @@ class DistributionRegistry(Protocol): REGISTER_PREFIX = "distributions:registry" -KEY_VERSION = "v9" +KEY_VERSION = "v10" KEY_FORMAT = f"{REGISTER_PREFIX}:{KEY_VERSION}::" + "{type}:{identifier}" diff --git a/llama_stack/core/ui/page/playground/tools.py b/llama_stack/core/ui/page/playground/tools.py index 602c9eea1..4ee9d2204 100644 --- a/llama_stack/core/ui/page/playground/tools.py +++ b/llama_stack/core/ui/page/playground/tools.py @@ -81,7 +81,7 @@ def tool_chat_page(): for toolgroup_id in toolgroup_selection: tools = client.tools.list(toolgroup_id=toolgroup_id) - grouped_tools[toolgroup_id] = [tool.identifier for tool in tools] + grouped_tools[toolgroup_id] = [tool.name for tool in tools] total_tools += len(tools) st.markdown(f"Active Tools: 🛠 {total_tools}") diff --git a/llama_stack/models/llama/datatypes.py b/llama_stack/models/llama/datatypes.py index 0baa6e55b..7cb7aa7bd 100644 --- a/llama_stack/models/llama/datatypes.py +++ b/llama_stack/models/llama/datatypes.py @@ -37,14 +37,7 @@ RecursiveType = Primitive | list[Primitive] | dict[str, Primitive] class ToolCall(BaseModel): call_id: str tool_name: BuiltinTool | str - # Plan is to deprecate the Dict in favor of a JSON string - # that is parsed on the client side instead of trying to manage - # the recursive type here. - # Making this a union so that client side can start prepping for this change. - # Eventually, we will remove both the Dict and arguments_json field, - # and arguments will just be a str - arguments: str | dict[str, RecursiveType] - arguments_json: str | None = None + arguments: str @field_validator("tool_name", mode="before") @classmethod @@ -88,19 +81,11 @@ class StopReason(Enum): out_of_tokens = "out_of_tokens" -class ToolParamDefinition(BaseModel): - param_type: str - description: str | None = None - required: bool | None = True - items: Any | None = None - title: str | None = None - default: Any | None = None - - class ToolDefinition(BaseModel): tool_name: BuiltinTool | str description: str | None = None - parameters: dict[str, ToolParamDefinition] | None = None + input_schema: dict[str, Any] | None = None + output_schema: dict[str, Any] | None = None @field_validator("tool_name", mode="before") @classmethod diff --git a/llama_stack/models/llama/llama3/chat_format.py b/llama_stack/models/llama/llama3/chat_format.py index 1f88a1699..d65865cb5 100644 --- a/llama_stack/models/llama/llama3/chat_format.py +++ b/llama_stack/models/llama/llama3/chat_format.py @@ -232,8 +232,7 @@ class ChatFormat: ToolCall( call_id=call_id, tool_name=tool_name, - arguments=tool_arguments, - arguments_json=json.dumps(tool_arguments), + arguments=json.dumps(tool_arguments), ) ) content = "" diff --git a/llama_stack/models/llama/llama3/prompt_templates/system_prompts.py b/llama_stack/models/llama/llama3/prompt_templates/system_prompts.py index ab626e5af..11a5993e9 100644 --- a/llama_stack/models/llama/llama3/prompt_templates/system_prompts.py +++ b/llama_stack/models/llama/llama3/prompt_templates/system_prompts.py @@ -18,7 +18,6 @@ from typing import Any from llama_stack.apis.inference import ( BuiltinTool, ToolDefinition, - ToolParamDefinition, ) from .base import PromptTemplate, PromptTemplateGeneratorBase @@ -101,11 +100,8 @@ class JsonCustomToolGenerator(PromptTemplateGeneratorBase): {# manually setting up JSON because jinja sorts keys in unexpected ways -#} {%- set tname = t.tool_name -%} {%- set tdesc = t.description -%} - {%- set tparams = t.parameters -%} - {%- set required_params = [] -%} - {%- for name, param in tparams.items() if param.required == true -%} - {%- set _ = required_params.append(name) -%} - {%- endfor -%} + {%- set tprops = t.input_schema.get('properties', {}) -%} + {%- set required_params = t.input_schema.get('required', []) -%} { "type": "function", "function": { @@ -114,11 +110,11 @@ class JsonCustomToolGenerator(PromptTemplateGeneratorBase): "parameters": { "type": "object", "properties": [ - {%- for name, param in tparams.items() %} + {%- for name, param in tprops.items() %} { "{{name}}": { "type": "object", - "description": "{{param.description}}" + "description": "{{param.get('description', '')}}" } }{% if not loop.last %},{% endif %} {%- endfor %} @@ -143,17 +139,19 @@ class JsonCustomToolGenerator(PromptTemplateGeneratorBase): ToolDefinition( tool_name="trending_songs", description="Returns the trending songs on a Music site", - parameters={ - "n": ToolParamDefinition( - param_type="int", - description="The number of songs to return", - required=True, - ), - "genre": ToolParamDefinition( - param_type="str", - description="The genre of the songs to return", - required=False, - ), + input_schema={ + "type": "object", + "properties": { + "n": { + "type": "int", + "description": "The number of songs to return", + }, + "genre": { + "type": "str", + "description": "The genre of the songs to return", + }, + }, + "required": ["n"], }, ), ] @@ -170,11 +168,14 @@ class FunctionTagCustomToolGenerator(PromptTemplateGeneratorBase): {#- manually setting up JSON because jinja sorts keys in unexpected ways -#} {%- set tname = t.tool_name -%} {%- set tdesc = t.description -%} - {%- set modified_params = t.parameters.copy() -%} - {%- for key, value in modified_params.items() -%} - {%- if 'default' in value -%} - {%- set _ = value.pop('default', None) -%} + {%- set tprops = t.input_schema.get('properties', {}) -%} + {%- set modified_params = {} -%} + {%- for key, value in tprops.items() -%} + {%- set param_copy = value.copy() -%} + {%- if 'default' in param_copy -%} + {%- set _ = param_copy.pop('default', None) -%} {%- endif -%} + {%- set _ = modified_params.update({key: param_copy}) -%} {%- endfor -%} {%- set tparams = modified_params | tojson -%} Use the function '{{ tname }}' to '{{ tdesc }}': @@ -205,17 +206,19 @@ class FunctionTagCustomToolGenerator(PromptTemplateGeneratorBase): ToolDefinition( tool_name="trending_songs", description="Returns the trending songs on a Music site", - parameters={ - "n": ToolParamDefinition( - param_type="int", - description="The number of songs to return", - required=True, - ), - "genre": ToolParamDefinition( - param_type="str", - description="The genre of the songs to return", - required=False, - ), + input_schema={ + "type": "object", + "properties": { + "n": { + "type": "int", + "description": "The number of songs to return", + }, + "genre": { + "type": "str", + "description": "The genre of the songs to return", + }, + }, + "required": ["n"], }, ), ] @@ -255,11 +258,8 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 {# manually setting up JSON because jinja sorts keys in unexpected ways -#} {%- set tname = t.tool_name -%} {%- set tdesc = t.description -%} - {%- set tparams = t.parameters -%} - {%- set required_params = [] -%} - {%- for name, param in tparams.items() if param.required == true -%} - {%- set _ = required_params.append(name) -%} - {%- endfor -%} + {%- set tprops = (t.input_schema or {}).get('properties', {}) -%} + {%- set required_params = (t.input_schema or {}).get('required', []) -%} { "name": "{{tname}}", "description": "{{tdesc}}", @@ -267,11 +267,11 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 "type": "dict", "required": {{ required_params | tojson }}, "properties": { - {%- for name, param in tparams.items() %} + {%- for name, param in tprops.items() %} "{{name}}": { - "type": "{{param.param_type}}", - "description": "{{param.description}}"{% if param.default %}, - "default": "{{param.default}}"{% endif %} + "type": "{{param.get('type', 'string')}}", + "description": "{{param.get('description', '')}}"{% if param.get('default') %}, + "default": "{{param.get('default')}}"{% endif %} }{% if not loop.last %},{% endif %} {%- endfor %} } @@ -299,18 +299,20 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 ToolDefinition( tool_name="get_weather", description="Get weather info for places", - parameters={ - "city": ToolParamDefinition( - param_type="string", - description="The name of the city to get the weather for", - required=True, - ), - "metric": ToolParamDefinition( - param_type="string", - description="The metric for weather. Options are: celsius, fahrenheit", - required=False, - default="celsius", - ), + input_schema={ + "type": "object", + "properties": { + "city": { + "type": "string", + "description": "The name of the city to get the weather for", + }, + "metric": { + "type": "string", + "description": "The metric for weather. Options are: celsius, fahrenheit", + "default": "celsius", + }, + }, + "required": ["city"], }, ), ] diff --git a/llama_stack/models/llama/llama3/tool_utils.py b/llama_stack/models/llama/llama3/tool_utils.py index d0e3e7671..8c12fe680 100644 --- a/llama_stack/models/llama/llama3/tool_utils.py +++ b/llama_stack/models/llama/llama3/tool_utils.py @@ -220,17 +220,18 @@ class ToolUtils: @staticmethod def encode_tool_call(t: ToolCall, tool_prompt_format: ToolPromptFormat) -> str: + args = json.loads(t.arguments) if t.tool_name == BuiltinTool.brave_search: - q = t.arguments["query"] + q = args["query"] return f'brave_search.call(query="{q}")' elif t.tool_name == BuiltinTool.wolfram_alpha: - q = t.arguments["query"] + q = args["query"] return f'wolfram_alpha.call(query="{q}")' elif t.tool_name == BuiltinTool.photogen: - q = t.arguments["query"] + q = args["query"] return f'photogen.call(query="{q}")' elif t.tool_name == BuiltinTool.code_interpreter: - return t.arguments["code"] + return args["code"] else: fname = t.tool_name @@ -239,12 +240,11 @@ class ToolUtils: { "type": "function", "name": fname, - "parameters": t.arguments, + "parameters": args, } ) elif tool_prompt_format == ToolPromptFormat.function_tag: - args = json.dumps(t.arguments) - return f"{args}" + return f"{t.arguments}" elif tool_prompt_format == ToolPromptFormat.python_list: @@ -260,7 +260,7 @@ class ToolUtils: else: raise ValueError(f"Unsupported type: {type(value)}") - args_str = ", ".join(f"{k}={format_value(v)}" for k, v in t.arguments.items()) + args_str = ", ".join(f"{k}={format_value(v)}" for k, v in args.items()) return f"[{fname}({args_str})]" else: raise ValueError(f"Unsupported tool prompt format: {tool_prompt_format}") diff --git a/llama_stack/models/llama/llama3_1/prompts.py b/llama_stack/models/llama/llama3_1/prompts.py index 579a5ee02..433c62d86 100644 --- a/llama_stack/models/llama/llama3_1/prompts.py +++ b/llama_stack/models/llama/llama3_1/prompts.py @@ -11,6 +11,7 @@ # top-level folder for each specific model found within the models/ directory at # the top-level of this source tree. +import json import textwrap from llama_stack.models.llama.datatypes import ( @@ -184,7 +185,7 @@ def usecases() -> list[UseCase | str]: ToolCall( call_id="tool_call_id", tool_name=BuiltinTool.wolfram_alpha, - arguments={"query": "100th decimal of pi"}, + arguments=json.dumps({"query": "100th decimal of pi"}), ) ], ), diff --git a/llama_stack/models/llama/llama3_3/prompts.py b/llama_stack/models/llama/llama3_3/prompts.py index 85796608a..0470e3218 100644 --- a/llama_stack/models/llama/llama3_3/prompts.py +++ b/llama_stack/models/llama/llama3_3/prompts.py @@ -11,6 +11,7 @@ # top-level folder for each specific model found within the models/ directory at # the top-level of this source tree. +import json import textwrap from llama_stack.models.llama.datatypes import ( @@ -185,7 +186,7 @@ def usecases() -> list[UseCase | str]: ToolCall( call_id="tool_call_id", tool_name=BuiltinTool.wolfram_alpha, - arguments={"query": "100th decimal of pi"}, + arguments=json.dumps({"query": "100th decimal of pi"}), ) ], ), diff --git a/llama_stack/models/llama/llama4/chat_format.py b/llama_stack/models/llama/llama4/chat_format.py index 96ebd0881..3864f6438 100644 --- a/llama_stack/models/llama/llama4/chat_format.py +++ b/llama_stack/models/llama/llama4/chat_format.py @@ -298,8 +298,7 @@ class ChatFormat: ToolCall( call_id=call_id, tool_name=tool_name, - arguments=tool_arguments, - arguments_json=json.dumps(tool_arguments), + arguments=json.dumps(tool_arguments), ) ) content = "" diff --git a/llama_stack/models/llama/llama4/prompt_templates/system_prompts.py b/llama_stack/models/llama/llama4/prompt_templates/system_prompts.py index 9c19f89ae..1ee570933 100644 --- a/llama_stack/models/llama/llama4/prompt_templates/system_prompts.py +++ b/llama_stack/models/llama/llama4/prompt_templates/system_prompts.py @@ -13,7 +13,7 @@ import textwrap -from llama_stack.apis.inference import ToolDefinition, ToolParamDefinition +from llama_stack.apis.inference import ToolDefinition from llama_stack.models.llama.llama3.prompt_templates.base import ( PromptTemplate, PromptTemplateGeneratorBase, @@ -81,11 +81,8 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 {# manually setting up JSON because jinja sorts keys in unexpected ways -#} {%- set tname = t.tool_name -%} {%- set tdesc = t.description -%} - {%- set tparams = t.parameters -%} - {%- set required_params = [] -%} - {%- for name, param in tparams.items() if param.required == true -%} - {%- set _ = required_params.append(name) -%} - {%- endfor -%} + {%- set tprops = t.input_schema.get('properties', {}) -%} + {%- set required_params = t.input_schema.get('required', []) -%} { "name": "{{tname}}", "description": "{{tdesc}}", @@ -93,11 +90,11 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 "type": "dict", "required": {{ required_params | tojson }}, "properties": { - {%- for name, param in tparams.items() %} + {%- for name, param in tprops.items() %} "{{name}}": { - "type": "{{param.param_type}}", - "description": "{{param.description}}"{% if param.default %}, - "default": "{{param.default}}"{% endif %} + "type": "{{param.get('type', 'string')}}", + "description": "{{param.get('description', '')}}"{% if param.get('default') %}, + "default": "{{param.get('default')}}"{% endif %} }{% if not loop.last %},{% endif %} {%- endfor %} } @@ -119,18 +116,20 @@ class PythonListCustomToolGenerator(PromptTemplateGeneratorBase): # noqa: N801 ToolDefinition( tool_name="get_weather", description="Get weather info for places", - parameters={ - "city": ToolParamDefinition( - param_type="string", - description="The name of the city to get the weather for", - required=True, - ), - "metric": ToolParamDefinition( - param_type="string", - description="The metric for weather. Options are: celsius, fahrenheit", - required=False, - default="celsius", - ), + input_schema={ + "type": "object", + "properties": { + "city": { + "type": "string", + "description": "The name of the city to get the weather for", + }, + "metric": { + "type": "string", + "description": "The metric for weather. Options are: celsius, fahrenheit", + "default": "celsius", + }, + }, + "required": ["city"], }, ), ] diff --git a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py index 32c59ba2c..207f0daec 100644 --- a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py +++ b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py @@ -60,7 +60,6 @@ from llama_stack.apis.inference import ( StopReason, SystemMessage, ToolDefinition, - ToolParamDefinition, ToolResponse, ToolResponseMessage, UserMessage, @@ -866,20 +865,12 @@ class ChatAgent(ShieldRunnerMixin): for tool_def in self.agent_config.client_tools: if tool_name_to_def.get(tool_def.name, None): raise ValueError(f"Tool {tool_def.name} already exists") + + # Use input_schema from ToolDef directly tool_name_to_def[tool_def.name] = ToolDefinition( tool_name=tool_def.name, description=tool_def.description, - parameters={ - param.name: ToolParamDefinition( - param_type=param.parameter_type, - description=param.description, - required=param.required, - items=param.items, - title=param.title, - default=param.default, - ) - for param in tool_def.parameters - }, + input_schema=tool_def.input_schema, ) for toolgroup_name_with_maybe_tool_name in agent_config_toolgroups: toolgroup_name, input_tool_name = self._parse_toolgroup_name(toolgroup_name_with_maybe_tool_name) @@ -889,44 +880,34 @@ class ChatAgent(ShieldRunnerMixin): [t.identifier for t in (await self.tool_groups_api.list_tool_groups()).data] ) raise ValueError(f"Toolgroup {toolgroup_name} not found, available toolgroups: {available_tool_groups}") - if input_tool_name is not None and not any(tool.identifier == input_tool_name for tool in tools.data): + if input_tool_name is not None and not any(tool.name == input_tool_name for tool in tools.data): raise ValueError( - f"Tool {input_tool_name} not found in toolgroup {toolgroup_name}. Available tools: {', '.join([tool.identifier for tool in tools.data])}" + f"Tool {input_tool_name} not found in toolgroup {toolgroup_name}. Available tools: {', '.join([tool.name for tool in tools.data])}" ) for tool_def in tools.data: if toolgroup_name.startswith("builtin") and toolgroup_name != RAG_TOOL_GROUP: - identifier: str | BuiltinTool | None = tool_def.identifier + identifier: str | BuiltinTool | None = tool_def.name if identifier == "web_search": identifier = BuiltinTool.brave_search else: identifier = BuiltinTool(identifier) else: # add if tool_name is unspecified or the tool_def identifier is the same as the tool_name - if input_tool_name in (None, tool_def.identifier): - identifier = tool_def.identifier + if input_tool_name in (None, tool_def.name): + identifier = tool_def.name else: identifier = None if tool_name_to_def.get(identifier, None): raise ValueError(f"Tool {identifier} already exists") if identifier: - tool_name_to_def[tool_def.identifier] = ToolDefinition( + tool_name_to_def[identifier] = ToolDefinition( tool_name=identifier, description=tool_def.description, - parameters={ - param.name: ToolParamDefinition( - param_type=param.parameter_type, - description=param.description, - required=param.required, - items=param.items, - title=param.title, - default=param.default, - ) - for param in tool_def.parameters - }, + input_schema=tool_def.input_schema, ) - tool_name_to_args[tool_def.identifier] = toolgroup_to_args.get(toolgroup_name, {}) + tool_name_to_args[identifier] = toolgroup_to_args.get(toolgroup_name, {}) self.tool_defs, self.tool_name_to_args = ( list(tool_name_to_def.values()), @@ -970,12 +951,18 @@ class ChatAgent(ShieldRunnerMixin): tool_name_str = tool_name logger.info(f"executing tool call: {tool_name_str} with args: {tool_call.arguments}") + + try: + args = json.loads(tool_call.arguments) + except json.JSONDecodeError as e: + raise ValueError(f"Failed to parse arguments for tool call: {tool_call.arguments}") from e + result = await self.tool_runtime_api.invoke_tool( tool_name=tool_name_str, kwargs={ "session_id": session_id, # get the arguments generated by the model and augment with toolgroup arg overrides for the agent - **tool_call.arguments, + **args, **self.tool_name_to_args.get(tool_name_str, {}), }, ) diff --git a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py index 7eaf08e13..732ad708e 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -62,22 +62,13 @@ def convert_tooldef_to_chat_tool(tool_def): ChatCompletionToolParam suitable for OpenAI chat completion """ - from llama_stack.models.llama.datatypes import ToolDefinition, ToolParamDefinition + from llama_stack.models.llama.datatypes import ToolDefinition from llama_stack.providers.utils.inference.openai_compat import convert_tooldef_to_openai_tool internal_tool_def = ToolDefinition( tool_name=tool_def.name, description=tool_def.description, - parameters={ - param.name: ToolParamDefinition( - param_type=param.parameter_type, - description=param.description, - required=param.required, - default=param.default, - items=param.items, - ) - for param in tool_def.parameters - }, + input_schema=tool_def.input_schema, ) return convert_tooldef_to_openai_tool(internal_tool_def) @@ -528,23 +519,15 @@ class StreamingResponseOrchestrator: """Process all tools and emit appropriate streaming events.""" from openai.types.chat import ChatCompletionToolParam - from llama_stack.apis.tools import Tool - from llama_stack.models.llama.datatypes import ToolDefinition, ToolParamDefinition + from llama_stack.apis.tools import ToolDef + from llama_stack.models.llama.datatypes import ToolDefinition from llama_stack.providers.utils.inference.openai_compat import convert_tooldef_to_openai_tool - def make_openai_tool(tool_name: str, tool: Tool) -> ChatCompletionToolParam: + def make_openai_tool(tool_name: str, tool: ToolDef) -> ChatCompletionToolParam: tool_def = ToolDefinition( tool_name=tool_name, description=tool.description, - parameters={ - param.name: ToolParamDefinition( - param_type=param.parameter_type, - description=param.description, - required=param.required, - default=param.default, - ) - for param in tool.parameters - }, + input_schema=tool.input_schema, ) return convert_tooldef_to_openai_tool(tool_def) @@ -631,16 +614,11 @@ class StreamingResponseOrchestrator: MCPListToolsTool( name=t.name, description=t.description, - input_schema={ + input_schema=t.input_schema + or { "type": "object", - "properties": { - p.name: { - "type": p.parameter_type, - "description": p.description, - } - for p in t.parameters - }, - "required": [p.name for p in t.parameters if p.required], + "properties": {}, + "required": [], }, ) ) diff --git a/llama_stack/providers/inline/ios/inference/LocalInferenceImpl/SystemPrompts.swift b/llama_stack/providers/inline/ios/inference/LocalInferenceImpl/SystemPrompts.swift index 88c0218b0..8bae3582b 100644 --- a/llama_stack/providers/inline/ios/inference/LocalInferenceImpl/SystemPrompts.swift +++ b/llama_stack/providers/inline/ios/inference/LocalInferenceImpl/SystemPrompts.swift @@ -68,9 +68,7 @@ public class FunctionTagCustomToolGenerator { { "name": "{{t.tool_name}}", "description": "{{t.description}}", - "parameters": { - "type": "dict", - "properties": { {{t.parameters}} } + "input_schema": { {{t.input_schema}} } } {{/let}} diff --git a/llama_stack/providers/inline/tool_runtime/rag/memory.py b/llama_stack/providers/inline/tool_runtime/rag/memory.py index bc68f198d..c8499a9b8 100644 --- a/llama_stack/providers/inline/tool_runtime/rag/memory.py +++ b/llama_stack/providers/inline/tool_runtime/rag/memory.py @@ -33,7 +33,6 @@ from llama_stack.apis.tools import ( ToolDef, ToolGroup, ToolInvocationResult, - ToolParameter, ToolRuntime, ) from llama_stack.apis.vector_io import ( @@ -301,13 +300,16 @@ class MemoryToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, RAGToolRunti ToolDef( name="knowledge_search", description="Search for information in a database.", - parameters=[ - ToolParameter( - name="query", - description="The query to search for. Can be a natural language sentence or keywords.", - parameter_type="string", - ), - ], + input_schema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The query to search for. Can be a natural language sentence or keywords.", + } + }, + "required": ["query"], + }, ), ] ) diff --git a/llama_stack/providers/remote/inference/vllm/vllm.py b/llama_stack/providers/remote/inference/vllm/vllm.py index 44b3dc3db..2b58b4262 100644 --- a/llama_stack/providers/remote/inference/vllm/vllm.py +++ b/llama_stack/providers/remote/inference/vllm/vllm.py @@ -89,8 +89,7 @@ def _convert_to_vllm_tool_calls_in_response( ToolCall( call_id=call.id, tool_name=call.function.name, - arguments=json.loads(call.function.arguments), - arguments_json=call.function.arguments, + arguments=call.function.arguments, ) for call in tool_calls ] @@ -100,18 +99,6 @@ def _convert_to_vllm_tools_in_request(tools: list[ToolDefinition]) -> list[dict] compat_tools = [] for tool in tools: - properties = {} - compat_required = [] - if tool.parameters: - for tool_key, tool_param in tool.parameters.items(): - properties[tool_key] = {"type": tool_param.param_type} - if tool_param.description: - properties[tool_key]["description"] = tool_param.description - if tool_param.default: - properties[tool_key]["default"] = tool_param.default - if tool_param.required: - compat_required.append(tool_key) - # The tool.tool_name can be a str or a BuiltinTool enum. If # it's the latter, convert to a string. tool_name = tool.tool_name @@ -123,10 +110,11 @@ def _convert_to_vllm_tools_in_request(tools: list[ToolDefinition]) -> list[dict] "function": { "name": tool_name, "description": tool.description, - "parameters": { + "parameters": tool.input_schema + or { "type": "object", - "properties": properties, - "required": compat_required, + "properties": {}, + "required": [], }, }, } @@ -161,7 +149,6 @@ def _process_vllm_chat_completion_end_of_stream( for _index, tool_call_buf in sorted(tool_call_bufs.items()): args_str = tool_call_buf.arguments or "{}" try: - args = json.loads(args_str) chunks.append( ChatCompletionResponseStreamChunk( event=ChatCompletionResponseEvent( @@ -170,8 +157,7 @@ def _process_vllm_chat_completion_end_of_stream( tool_call=ToolCall( call_id=tool_call_buf.call_id, tool_name=tool_call_buf.tool_name, - arguments=args, - arguments_json=args_str, + arguments=args_str, ), parse_status=ToolCallParseStatus.succeeded, ), diff --git a/llama_stack/providers/remote/tool_runtime/bing_search/bing_search.py b/llama_stack/providers/remote/tool_runtime/bing_search/bing_search.py index e40903969..9a98964b7 100644 --- a/llama_stack/providers/remote/tool_runtime/bing_search/bing_search.py +++ b/llama_stack/providers/remote/tool_runtime/bing_search/bing_search.py @@ -15,7 +15,6 @@ from llama_stack.apis.tools import ( ToolDef, ToolGroup, ToolInvocationResult, - ToolParameter, ToolRuntime, ) from llama_stack.core.request_headers import NeedsRequestProviderData @@ -57,13 +56,16 @@ class BingSearchToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, NeedsReq ToolDef( name="web_search", description="Search the web using Bing Search API", - parameters=[ - ToolParameter( - name="query", - description="The query to search for", - parameter_type="string", - ) - ], + input_schema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The query to search for", + } + }, + "required": ["query"], + }, ) ] ) diff --git a/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py b/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py index ba3b910d5..02e5b5c69 100644 --- a/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py +++ b/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py @@ -14,7 +14,6 @@ from llama_stack.apis.tools import ( ToolDef, ToolGroup, ToolInvocationResult, - ToolParameter, ToolRuntime, ) from llama_stack.core.request_headers import NeedsRequestProviderData @@ -56,13 +55,16 @@ class BraveSearchToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, NeedsRe ToolDef( name="web_search", description="Search the web for information", - parameters=[ - ToolParameter( - name="query", - description="The query to search for", - parameter_type="string", - ) - ], + input_schema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The query to search for", + } + }, + "required": ["query"], + }, built_in_type=BuiltinTool.brave_search, ) ] diff --git a/llama_stack/providers/remote/tool_runtime/tavily_search/tavily_search.py b/llama_stack/providers/remote/tool_runtime/tavily_search/tavily_search.py index 976ec9c57..ca629fced 100644 --- a/llama_stack/providers/remote/tool_runtime/tavily_search/tavily_search.py +++ b/llama_stack/providers/remote/tool_runtime/tavily_search/tavily_search.py @@ -15,7 +15,6 @@ from llama_stack.apis.tools import ( ToolDef, ToolGroup, ToolInvocationResult, - ToolParameter, ToolRuntime, ) from llama_stack.core.request_headers import NeedsRequestProviderData @@ -56,13 +55,16 @@ class TavilySearchToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, NeedsR ToolDef( name="web_search", description="Search the web for information", - parameters=[ - ToolParameter( - name="query", - description="The query to search for", - parameter_type="string", - ) - ], + input_schema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The query to search for", + } + }, + "required": ["query"], + }, ) ] ) diff --git a/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py b/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py index f12a44958..410e34195 100644 --- a/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py +++ b/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py @@ -15,7 +15,6 @@ from llama_stack.apis.tools import ( ToolDef, ToolGroup, ToolInvocationResult, - ToolParameter, ToolRuntime, ) from llama_stack.core.request_headers import NeedsRequestProviderData @@ -57,13 +56,16 @@ class WolframAlphaToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, NeedsR ToolDef( name="wolfram_alpha", description="Query WolframAlpha for computational knowledge", - parameters=[ - ToolParameter( - name="query", - description="The query to compute", - parameter_type="string", - ) - ], + input_schema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The query to compute", + } + }, + "required": ["query"], + }, ) ] ) diff --git a/llama_stack/providers/utils/inference/openai_compat.py b/llama_stack/providers/utils/inference/openai_compat.py index da97d7c79..d863eb53a 100644 --- a/llama_stack/providers/utils/inference/openai_compat.py +++ b/llama_stack/providers/utils/inference/openai_compat.py @@ -125,7 +125,6 @@ from llama_stack.models.llama.datatypes import ( StopReason, ToolCall, ToolDefinition, - ToolParamDefinition, ) from llama_stack.providers.utils.inference.prompt_adapter import ( convert_image_content_to_url, @@ -537,18 +536,13 @@ async def convert_message_to_openai_dict(message: Message, download: bool = Fals if isinstance(tool_name, BuiltinTool): tool_name = tool_name.value - # arguments_json can be None, so attempt it first and fall back to arguments - if hasattr(tc, "arguments_json") and tc.arguments_json: - arguments = tc.arguments_json - else: - arguments = json.dumps(tc.arguments) result["tool_calls"].append( { "id": tc.call_id, "type": "function", "function": { "name": tool_name, - "arguments": arguments, + "arguments": tc.arguments, }, } ) @@ -641,7 +635,7 @@ async def convert_message_to_openai_dict_new( id=tool.call_id, function=OpenAIFunction( name=(tool.tool_name if not isinstance(tool.tool_name, BuiltinTool) else tool.tool_name.value), - arguments=json.dumps(tool.arguments), + arguments=tool.arguments, # Already a JSON string, don't double-encode ), type="function", ) @@ -684,8 +678,7 @@ def convert_tool_call( valid_tool_call = ToolCall( call_id=tool_call.id, tool_name=tool_call.function.name, - arguments=json.loads(tool_call.function.arguments), - arguments_json=tool_call.function.arguments, + arguments=tool_call.function.arguments, ) except Exception: return UnparseableToolCall( @@ -745,14 +738,8 @@ def convert_tooldef_to_openai_tool(tool: ToolDefinition) -> dict: ToolDefinition: tool_name: str | BuiltinTool description: Optional[str] - parameters: Optional[Dict[str, ToolParamDefinition]] - - ToolParamDefinition: - param_type: str - description: Optional[str] - required: Optional[bool] - default: Optional[Any] - + input_schema: Optional[Dict[str, Any]] # JSON Schema + output_schema: Optional[Dict[str, Any]] # JSON Schema (not used by OpenAI) OpenAI spec - @@ -761,20 +748,11 @@ def convert_tooldef_to_openai_tool(tool: ToolDefinition) -> dict: "function": { "name": tool_name, "description": description, - "parameters": { - "type": "object", - "properties": { - param_name: { - "type": param_type, - "description": description, - "default": default, - }, - ... - }, - "required": [param_name, ...], - }, + "parameters": {}, }, } + + NOTE: OpenAI does not support output_schema, so it is dropped here. """ out = { "type": "function", @@ -783,37 +761,19 @@ def convert_tooldef_to_openai_tool(tool: ToolDefinition) -> dict: function = out["function"] if isinstance(tool.tool_name, BuiltinTool): - function.update(name=tool.tool_name.value) # TODO(mf): is this sufficient? + function["name"] = tool.tool_name.value else: - function.update(name=tool.tool_name) + function["name"] = tool.tool_name if tool.description: - function.update(description=tool.description) + function["description"] = tool.description - if tool.parameters: - parameters = { - "type": "object", - "properties": {}, - } - properties = parameters["properties"] - required = [] - for param_name, param in tool.parameters.items(): - properties[param_name] = to_openai_param_type(param.param_type) - if param.description: - properties[param_name].update(description=param.description) - if param.default: - properties[param_name].update(default=param.default) - if param.items: - properties[param_name].update(items=param.items) - if param.title: - properties[param_name].update(title=param.title) - if param.required: - required.append(param_name) + if tool.input_schema: + # Pass through the entire JSON Schema as-is + function["parameters"] = tool.input_schema - if required: - parameters.update(required=required) - - function.update(parameters=parameters) + # NOTE: OpenAI does not support output_schema, so we drop it here + # It's stored in LlamaStack for validation and other provider usage return out @@ -874,22 +834,12 @@ def _convert_openai_request_tools(tools: list[dict[str, Any]] | None = None) -> tool_fn = tool.get("function", {}) tool_name = tool_fn.get("name", None) tool_desc = tool_fn.get("description", None) - tool_params = tool_fn.get("parameters", None) - lls_tool_params = {} - if tool_params is not None: - tool_param_properties = tool_params.get("properties", {}) - for tool_param_key, tool_param_value in tool_param_properties.items(): - tool_param_def = ToolParamDefinition( - param_type=str(tool_param_value.get("type", None)), - description=tool_param_value.get("description", None), - ) - lls_tool_params[tool_param_key] = tool_param_def lls_tool = ToolDefinition( tool_name=tool_name, description=tool_desc, - parameters=lls_tool_params, + input_schema=tool_params, # Pass through entire JSON Schema ) lls_tools.append(lls_tool) return lls_tools @@ -939,8 +889,7 @@ def _convert_openai_tool_calls( ToolCall( call_id=call.id, tool_name=call.function.name, - arguments=json.loads(call.function.arguments), - arguments_json=call.function.arguments, + arguments=call.function.arguments, ) for call in tool_calls ] @@ -1222,12 +1171,10 @@ async def convert_openai_chat_completion_stream( ) try: - arguments = json.loads(buffer["arguments"]) tool_call = ToolCall( call_id=buffer["call_id"], tool_name=buffer["name"], - arguments=arguments, - arguments_json=buffer["arguments"], + arguments=buffer["arguments"], ) yield ChatCompletionResponseStreamChunk( event=ChatCompletionResponseEvent( @@ -1390,7 +1337,7 @@ class OpenAIChatCompletionToLlamaStackMixin: openai_tool_call = OpenAIChoiceDeltaToolCall( index=0, function=OpenAIChoiceDeltaToolCallFunction( - arguments=tool_call.arguments_json, + arguments=tool_call.arguments, ), ) delta = OpenAIChoiceDelta(tool_calls=[openai_tool_call]) diff --git a/llama_stack/providers/utils/inference/openai_mixin.py b/llama_stack/providers/utils/inference/openai_mixin.py index becec5fb3..3ff7d5cc6 100644 --- a/llama_stack/providers/utils/inference/openai_mixin.py +++ b/llama_stack/providers/utils/inference/openai_mixin.py @@ -286,34 +286,34 @@ class OpenAIMixin(ModelRegistryHelper, NeedsRequestProviderData, ABC): messages = [await _localize_image_url(m) for m in messages] - resp = await self.client.chat.completions.create( - **await prepare_openai_completion_params( - model=await self._get_provider_model_id(model), - messages=messages, - frequency_penalty=frequency_penalty, - function_call=function_call, - functions=functions, - logit_bias=logit_bias, - logprobs=logprobs, - max_completion_tokens=max_completion_tokens, - max_tokens=max_tokens, - n=n, - parallel_tool_calls=parallel_tool_calls, - presence_penalty=presence_penalty, - response_format=response_format, - seed=seed, - stop=stop, - stream=stream, - stream_options=stream_options, - temperature=temperature, - tool_choice=tool_choice, - tools=tools, - top_logprobs=top_logprobs, - top_p=top_p, - user=user, - ) + params = await prepare_openai_completion_params( + model=await self._get_provider_model_id(model), + messages=messages, + frequency_penalty=frequency_penalty, + function_call=function_call, + functions=functions, + logit_bias=logit_bias, + logprobs=logprobs, + max_completion_tokens=max_completion_tokens, + max_tokens=max_tokens, + n=n, + parallel_tool_calls=parallel_tool_calls, + presence_penalty=presence_penalty, + response_format=response_format, + seed=seed, + stop=stop, + stream=stream, + stream_options=stream_options, + temperature=temperature, + tool_choice=tool_choice, + tools=tools, + top_logprobs=top_logprobs, + top_p=top_p, + user=user, ) + resp = await self.client.chat.completions.create(**params) + return await self._maybe_overwrite_id(resp, stream) # type: ignore[no-any-return] async def openai_embeddings( diff --git a/llama_stack/providers/utils/tools/mcp.py b/llama_stack/providers/utils/tools/mcp.py index 155f7eff8..48f07cb19 100644 --- a/llama_stack/providers/utils/tools/mcp.py +++ b/llama_stack/providers/utils/tools/mcp.py @@ -20,7 +20,6 @@ from llama_stack.apis.tools import ( ListToolDefsResponse, ToolDef, ToolInvocationResult, - ToolParameter, ) from llama_stack.core.datatypes import AuthenticationRequiredError from llama_stack.log import get_logger @@ -113,24 +112,12 @@ async def list_mcp_tools(endpoint: str, headers: dict[str, str]) -> ListToolDefs async with client_wrapper(endpoint, headers) as session: tools_result = await session.list_tools() for tool in tools_result.tools: - parameters = [] - for param_name, param_schema in tool.inputSchema.get("properties", {}).items(): - parameters.append( - ToolParameter( - name=param_name, - parameter_type=param_schema.get("type", "string"), - description=param_schema.get("description", ""), - required="default" not in param_schema, - items=param_schema.get("items", None), - title=param_schema.get("title", None), - default=param_schema.get("default", None), - ) - ) tools.append( ToolDef( name=tool.name, description=tool.description, - parameters=parameters, + input_schema=tool.inputSchema, + output_schema=getattr(tool, "outputSchema", None), metadata={ "endpoint": endpoint, }, diff --git a/tests/common/mcp.py b/tests/common/mcp.py index f65f7c952..357ea4d41 100644 --- a/tests/common/mcp.py +++ b/tests/common/mcp.py @@ -222,16 +222,16 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal def run_server(): try: - logger.info(f"Starting MCP server on port {port}") + logger.debug(f"Starting MCP server on port {port}") server_instance.run() - logger.info(f"MCP server on port {port} has stopped") + logger.debug(f"MCP server on port {port} has stopped") except Exception as e: logger.error(f"MCP server failed to start on port {port}: {e}") raise # Start the server in a new thread server_thread = threading.Thread(target=run_server, daemon=True) - logger.info(f"Starting MCP server thread on port {port}") + logger.debug(f"Starting MCP server thread on port {port}") server_thread.start() # Polling until the server is ready @@ -239,13 +239,13 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal start_time = time.time() server_url = f"http://localhost:{port}/sse" - logger.info(f"Waiting for MCP server to be ready at {server_url}") + logger.debug(f"Waiting for MCP server to be ready at {server_url}") while time.time() - start_time < timeout: try: response = httpx.get(server_url) if response.status_code in [200, 401]: - logger.info(f"MCP server is ready on port {port} (status: {response.status_code})") + logger.debug(f"MCP server is ready on port {port} (status: {response.status_code})") break except httpx.RequestError as e: logger.debug(f"Server not ready yet, retrying... ({e})") @@ -261,14 +261,14 @@ def make_mcp_server(required_auth_token: str | None = None, tools: dict[str, Cal try: yield {"server_url": server_url} finally: - logger.info(f"Shutting down MCP server on port {port}") + logger.debug(f"Shutting down MCP server on port {port}") server_instance.should_exit = True time.sleep(0.5) # Force shutdown if still running if server_thread.is_alive(): try: - logger.info("Force shutting down server thread") + logger.debug("Force shutting down server thread") if hasattr(server_instance, "servers") and server_instance.servers: for srv in server_instance.servers: srv.close() diff --git a/tests/integration/inference/test_tools_with_schemas.py b/tests/integration/inference/test_tools_with_schemas.py new file mode 100644 index 000000000..b144a5196 --- /dev/null +++ b/tests/integration/inference/test_tools_with_schemas.py @@ -0,0 +1,369 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +Integration tests for inference/chat completion with JSON Schema-based tools. +Tests that tools pass through correctly to various LLM providers. +""" + +import json + +import pytest + +from llama_stack import LlamaStackAsLibraryClient +from llama_stack.models.llama.datatypes import ToolDefinition +from tests.common.mcp import make_mcp_server + +AUTH_TOKEN = "test-token" + + +class TestChatCompletionWithTools: + """Test chat completion with tools that have complex schemas.""" + + def test_simple_tool_call(self, llama_stack_client, text_model_id): + """Test basic tool calling with simple input schema.""" + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather for a location", + "parameters": { + "type": "object", + "properties": {"location": {"type": "string", "description": "City name"}}, + "required": ["location"], + }, + }, + } + ] + + response = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "What's the weather in San Francisco?"}], + tools=tools, + ) + + assert response is not None + + def test_tool_with_complex_schema(self, llama_stack_client, text_model_id): + """Test tool calling with complex schema including $ref and $defs.""" + tools = [ + { + "type": "function", + "function": { + "name": "book_flight", + "description": "Book a flight", + "parameters": { + "type": "object", + "properties": { + "flight": {"$ref": "#/$defs/FlightInfo"}, + "passenger": {"$ref": "#/$defs/Passenger"}, + }, + "required": ["flight", "passenger"], + "$defs": { + "FlightInfo": { + "type": "object", + "properties": { + "from": {"type": "string"}, + "to": {"type": "string"}, + "date": {"type": "string", "format": "date"}, + }, + }, + "Passenger": { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, + }, + }, + }, + }, + } + ] + + response = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "Book a flight from SFO to JFK for John Doe"}], + tools=tools, + ) + + # The key test: No errors during schema processing + # The LLM received a valid, complete schema with $ref/$defs + assert response is not None + + +class TestOpenAICompatibility: + """Test OpenAI-compatible endpoints with new schema format.""" + + def test_openai_chat_completion_with_tools(self, compat_client, text_model_id): + """Test OpenAI-compatible chat completion with tools.""" + from openai import OpenAI + + if not isinstance(compat_client, OpenAI): + pytest.skip("OpenAI client required") + + tools = [ + { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get weather information", + "parameters": { + "type": "object", + "properties": {"location": {"type": "string", "description": "City name"}}, + "required": ["location"], + }, + }, + } + ] + + response = compat_client.chat.completions.create( + model=text_model_id, messages=[{"role": "user", "content": "What's the weather in Tokyo?"}], tools=tools + ) + + assert response is not None + assert response.choices is not None + + def test_openai_format_preserves_complex_schemas(self, compat_client, text_model_id): + """Test that complex schemas work through OpenAI-compatible API.""" + from openai import OpenAI + + if not isinstance(compat_client, OpenAI): + pytest.skip("OpenAI client required") + + tools = [ + { + "type": "function", + "function": { + "name": "process_data", + "description": "Process structured data", + "parameters": { + "type": "object", + "properties": {"data": {"$ref": "#/$defs/DataObject"}}, + "$defs": { + "DataObject": { + "type": "object", + "properties": {"values": {"type": "array", "items": {"type": "number"}}}, + } + }, + }, + }, + } + ] + + response = compat_client.chat.completions.create( + model=text_model_id, messages=[{"role": "user", "content": "Process this data"}], tools=tools + ) + + assert response is not None + + +class TestMCPToolsInChatCompletion: + """Test using MCP tools in chat completion.""" + + @pytest.fixture + def mcp_with_schemas(self): + """MCP server for chat completion tests.""" + from mcp.server.fastmcp import Context + + async def calculate(x: float, y: float, operation: str, ctx: Context) -> float: + ops = {"add": x + y, "sub": x - y, "mul": x * y, "div": x / y if y != 0 else None} + return ops.get(operation, 0) + + with make_mcp_server(required_auth_token=AUTH_TOKEN, tools={"calculate": calculate}) as server: + yield server + + def test_mcp_tools_in_inference(self, llama_stack_client, text_model_id, mcp_with_schemas): + """Test that MCP tools can be used in inference.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::calc" + uri = mcp_with_schemas["server_url"] + + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # Get the tools from MCP + tools_response = llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + # Convert to OpenAI format for inference + tools = [] + for tool in tools_response: + tools.append( + { + "type": "function", + "function": { + "name": tool.name, + "description": tool.description, + "parameters": tool.input_schema or {}, + }, + } + ) + + # Use in chat completion + response = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "Calculate 5 + 3"}], + tools=tools, + ) + + # Schema should have been passed through correctly + assert response is not None + + +class TestProviderSpecificBehavior: + """Test provider-specific handling of schemas.""" + + def test_openai_provider_drops_output_schema(self, llama_stack_client, text_model_id): + """Test that OpenAI provider doesn't send output_schema (API limitation).""" + # This is more of a documentation test + # OpenAI API doesn't support output schemas, so we drop them + + _tool = ToolDefinition( + tool_name="test", + input_schema={"type": "object", "properties": {"x": {"type": "string"}}}, + output_schema={"type": "object", "properties": {"y": {"type": "number"}}}, + ) + + # When this tool is sent to OpenAI provider, output_schema is dropped + # But input_schema is preserved + # This test documents the expected behavior + + # We can't easily test this without mocking, but the unit tests cover it + pass + + def test_gemini_array_support(self): + """Test that Gemini receives array schemas correctly (issue from commit 65f7b81e).""" + # This was the original bug that led to adding 'items' field + # Now with full JSON Schema pass-through, arrays should work + + tool = ToolDefinition( + tool_name="tag_processor", + input_schema={ + "type": "object", + "properties": {"tags": {"type": "array", "items": {"type": "string"}, "description": "List of tags"}}, + }, + ) + + # With new approach, the complete schema with items is preserved + assert tool.input_schema["properties"]["tags"]["type"] == "array" + assert tool.input_schema["properties"]["tags"]["items"]["type"] == "string" + + +class TestStreamingWithTools: + """Test streaming chat completion with tools.""" + + def test_streaming_tool_calls(self, llama_stack_client, text_model_id): + """Test that tool schemas work correctly in streaming mode.""" + tools = [ + { + "type": "function", + "function": { + "name": "get_time", + "description": "Get current time", + "parameters": {"type": "object", "properties": {"timezone": {"type": "string"}}}, + }, + } + ] + + response_stream = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "What time is it in UTC?"}], + tools=tools, + stream=True, + ) + + # Should be able to iterate through stream + chunks = [] + for chunk in response_stream: + chunks.append(chunk) + + # Should have received some chunks + assert len(chunks) >= 0 + + +class TestEdgeCases: + """Test edge cases in inference with tools.""" + + def test_tool_without_schema(self, llama_stack_client, text_model_id): + """Test tool with no input_schema.""" + tools = [ + { + "type": "function", + "function": { + "name": "no_args_tool", + "description": "Tool with no arguments", + "parameters": {"type": "object", "properties": {}}, + }, + } + ] + + response = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "Call the no args tool"}], + tools=tools, + ) + + assert response is not None + + def test_multiple_tools_with_different_schemas(self, llama_stack_client, text_model_id): + """Test multiple tools with different schema complexities.""" + tools = [ + { + "type": "function", + "function": { + "name": "simple", + "parameters": {"type": "object", "properties": {"x": {"type": "string"}}}, + }, + }, + { + "type": "function", + "function": { + "name": "complex", + "parameters": { + "type": "object", + "properties": {"data": {"$ref": "#/$defs/Complex"}}, + "$defs": { + "Complex": { + "type": "object", + "properties": {"nested": {"type": "array", "items": {"type": "number"}}}, + } + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "with_output", + "parameters": {"type": "object", "properties": {"input": {"type": "string"}}}, + }, + }, + ] + + response = llama_stack_client.chat.completions.create( + model=text_model_id, + messages=[{"role": "user", "content": "Use one of the available tools"}], + tools=tools, + ) + + # All tools should have been processed without errors + assert response is not None diff --git a/tests/integration/recordings/responses/00f70ca112de.json b/tests/integration/recordings/responses/00f70ca112de.json index 1036976c3..d6fb13295 100644 --- a/tests/integration/recordings/responses/00f70ca112de.json +++ b/tests/integration/recordings/responses/00f70ca112de.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-282", + "id": "chatcmpl-281", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759245124, + "created": 1759437798, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/0396786db779.json b/tests/integration/recordings/responses/0396786db779.json new file mode 100644 index 000000000..e2d40c100 --- /dev/null +++ b/tests/integration/recordings/responses/0396786db779.json @@ -0,0 +1,366 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_boiling_point\",\n \"description\": \"Returns the boiling point of a liquid in Celcius or Fahrenheit.\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"liquid_name\"],\n \"properties\": {\n \"liquid_name\": {\n \"type\": \"str\",\n \"description\": \"The name of the liquid\"\n },\n \"celcius\": {\n \"type\": \"bool\",\n 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null, + "eval_duration": null, + "response": "[", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.272966Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "get", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.315637Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "_bo", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.356564Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "iling", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.397939Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "_point", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.438829Z", + "done": false, + "done_reason": null, + 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null, + "response": "_name", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.56207Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "='", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.603054Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "poly", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": 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"load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "',", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.77062Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " cel", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.813947Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ci", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.854591Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "us", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.896278Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "=True", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.937449Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": ")]", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:57.979031Z", + "done": true, + "done_reason": "stop", + "total_duration": 944600833, + "load_duration": 83227667, + "prompt_eval_count": 369, + "prompt_eval_duration": 109699916, + "eval_count": 19, + "eval_duration": 751096500, + "response": "", + "thinking": null, + "context": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/044dcd8fdeb1.json b/tests/integration/recordings/responses/044dcd8fdeb1.json index 7e8b92202..b85900d6a 100644 --- a/tests/integration/recordings/responses/044dcd8fdeb1.json +++ b/tests/integration/recordings/responses/044dcd8fdeb1.json @@ -28,7 +28,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -43,7 +43,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -54,7 +54,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -69,7 +69,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -80,7 +80,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -95,7 +95,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -106,7 +106,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -121,7 +121,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -132,7 +132,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -147,7 +147,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -158,11 +158,11 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { - "content": " us", + "content": " me", "function_call": null, "refusal": null, "role": "assistant", @@ -173,7 +173,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -184,7 +184,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -199,7 +199,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -210,7 +210,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -225,7 +225,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -236,7 +236,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -251,7 +251,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -262,7 +262,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-122", + "id": "chatcmpl-130", "choices": [ { "delta": { @@ -277,7 +277,7 @@ "logprobs": null } ], - "created": 1759427013, + "created": 1759437810, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -288,7 +288,7 @@ { "__type__": 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You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_boiling_point\",\n \"description\": \"Returns the boiling point of a liquid in Celcius or Fahrenheit.\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"liquid_name\"],\n \"properties\": {\n \"liquid_name\": {\n \"type\": \"str\",\n \"description\": \"The name of the liquid\"\n },\n \"celcius\": {\n \"type\": \"bool\",\n 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a/tests/integration/recordings/responses/05e3ebc68306.json +++ b/tests/integration/recordings/responses/05e3ebc68306.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-447", + "id": "chatcmpl-249", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282456, + "created": 1759441157, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/08a21ab74e0a.json b/tests/integration/recordings/responses/08a21ab74e0a.json new file mode 100644 index 000000000..3645efabd --- /dev/null +++ b/tests/integration/recordings/responses/08a21ab74e0a.json @@ -0,0 +1,542 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + 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Use tools to do so." + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "id": "call_qvp9u80l", + "type": "function", + "function": { + "name": "greet_everyone", + "arguments": "{\"url\":\"world\"}" + } + } + ] + }, + { + "role": "tool", + "tool_call_id": "call_qvp9u80l", + "content": [ + { + "type": "text", + "text": "Hello, world!" + } + ] + } + ], + "max_tokens": 0, + "stream": true, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "greet_everyone", + "parameters": { + "properties": { + "url": { + "title": "Url", + "type": "string" + } + }, + "required": [ + "url" + ], + "title": "greet_everyoneArguments", + "type": "object" + } + } + }, + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "\n Returns the boiling point of a liquid in Celsius or Fahrenheit.\n\n :param liquid_name: The name of the liquid\n :param celsius: Whether to return the boiling point in Celsius\n :return: The boiling point of the liquid in Celcius or Fahrenheit\n ", + "parameters": { + "properties": { + "liquid_name": { + "title": "Liquid Name", + "type": "string" + }, + "celsius": { + "default": true, + "title": "Celsius", + "type": "boolean" + } + }, + "required": [ + "liquid_name" + ], + "title": "get_boiling_pointArguments", + "type": "object" + } + } + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-714", + "choices": [ + { + "delta": { + "content": "<|python_tag|>", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759437845, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + 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"is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/0e8f2b001dd9.json b/tests/integration/recordings/responses/0e8f2b001dd9.json index 6bcdfdfed..1067ed88e 100644 --- a/tests/integration/recordings/responses/0e8f2b001dd9.json +++ b/tests/integration/recordings/responses/0e8f2b001dd9.json @@ -20,14 +20,14 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-161", + "id": "chatcmpl-870", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "The answer is Saturn.", + "content": "The planet Saturn has rings.", "refusal": null, "role": "assistant", "annotations": null, @@ -37,15 +37,15 @@ } } ], - "created": 1756921364, + "created": 1759437883, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 6, + "completion_tokens": 7, "prompt_tokens": 39, - "total_tokens": 45, + "total_tokens": 46, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/recordings/responses/0fad19b9d308.json b/tests/integration/recordings/responses/0fad19b9d308.json new file mode 100644 index 000000000..486fd0b8f --- /dev/null +++ b/tests/integration/recordings/responses/0fad19b9d308.json @@ -0,0 +1,93 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "user", + "content": "What time is it in UTC?" + } + ], + "stream": true, + "tools": [ + { + "type": "function", + "function": { + "name": "get_time", + "description": "Get current time", + "parameters": { + "type": "object", + "properties": { + "timezone": { + "type": "string" + } + } + } + } + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": 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"chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/178538be60e2.json b/tests/integration/recordings/responses/178538be60e2.json index 41cb76164..aaba1cbd2 100644 --- a/tests/integration/recordings/responses/178538be60e2.json +++ b/tests/integration/recordings/responses/178538be60e2.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-261", + "id": "chatcmpl-239", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759245125, + "created": 1759437799, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/1a4da7c94fde.json b/tests/integration/recordings/responses/1a4da7c94fde.json index ca24f20d2..0f5734bd9 100644 --- a/tests/integration/recordings/responses/1a4da7c94fde.json +++ b/tests/integration/recordings/responses/1a4da7c94fde.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-478", + "id": "chatcmpl-466", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282396, + "created": 1759373692, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/1acd433c05d4.json b/tests/integration/recordings/responses/1acd433c05d4.json new file mode 100644 index 000000000..5ab638216 --- /dev/null +++ b/tests/integration/recordings/responses/1acd433c05d4.json @@ -0,0 +1,1787 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. 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assistant that can process orders and book flights.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nProcess an order with 2 widgets going to 123 Main St, San Francisco<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[process_order(order_data={order_id=1, customer_name=\"John Doe\", address={street=\"123 Main St\", city=\"San Francisco\"}})]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\n{\n \"order_id\": \"ORD789\",\n \"status\": \"processing\",\n \"data\": {\n \"order_id\": 1,\n \"customer_name\": \"John Doe\",\n \"address\": {\n \"street\": \"123 Main St\",\n \"city\": \"San Francisco\"\n }\n }\n}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[book_flight(flight={flight_number=\"AA101\", departure=\"New York\", arrival=\"Los Angeles\", passengers=[{name=\"John Doe\", email=\"johndoe@example.com\"}], payment={method=\"credit_card\", card_number=\"1234567890123456\"}})]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\nError executing tool 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assistant Always respond with tool calls no matter what. " + }, + { + "role": "user", + "content": "Get the boiling point of polyjuice with a tool call." + } + ], + "max_tokens": 0, + "stream": true, + "temperature": 0.0001, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "str", + "description": "The name of the liquid" + }, + "celcius": { + "type": "bool", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-922", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": 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"fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/239f4768f5aa.json b/tests/integration/recordings/responses/239f4768f5aa.json index ce540db3f..38f483090 100644 --- a/tests/integration/recordings/responses/239f4768f5aa.json +++ b/tests/integration/recordings/responses/239f4768f5aa.json @@ -53,14 +53,14 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-433", + "id": "chatcmpl-497", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "{\"first_name\": \"Michael\", \"last_name\": \"Jordan\", \"year_of_birth\": 1963}\n\n \t\t\t\t\t\t\t\t\t\t\t \t\t ", + "content": "{\"first_name\": \"Michael\", \"last_name\": \"Jordan\", \"year_of_birth\": 1963}", "refusal": null, "role": "assistant", "annotations": null, @@ -70,15 +70,15 @@ } } ], - "created": 1758979490, + "created": 1759376618, "model": 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"model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:24.957792215Z", + "created_at": "2025-10-02T02:55:06.063597Z", "done": false, "done_reason": null, "total_duration": null, @@ -1300,7 +1300,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:25.147895529Z", + "created_at": "2025-10-02T02:55:06.106054Z", "done": false, "done_reason": null, "total_duration": null, @@ -1318,7 +1318,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:25.337348777Z", + "created_at": "2025-10-02T02:55:06.148232Z", "done": false, "done_reason": null, "total_duration": null, @@ -1336,7 +1336,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:25.528043056Z", + "created_at": "2025-10-02T02:55:06.190334Z", "done": false, "done_reason": 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"2025-10-01T01:35:26.296587284Z", + "created_at": "2025-10-02T02:55:06.35848Z", "done": false, "done_reason": null, "total_duration": null, @@ -1426,7 +1426,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:26.48997969Z", + "created_at": "2025-10-02T02:55:06.400959Z", "done": false, "done_reason": null, "total_duration": null, @@ -1444,7 +1444,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:26.68461717Z", + "created_at": "2025-10-02T02:55:06.441214Z", "done": false, "done_reason": null, "total_duration": null, @@ -1462,7 +1462,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:26.877976002Z", + "created_at": "2025-10-02T02:55:06.481409Z", "done": false, "done_reason": null, "total_duration": null, @@ -1480,7 +1480,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:27.071304424Z", + "created_at": "2025-10-02T02:55:06.522518Z", "done": false, "done_reason": null, "total_duration": null, @@ -1498,7 +1498,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:27.267083009Z", + "created_at": "2025-10-02T02:55:06.564666Z", "done": false, "done_reason": null, "total_duration": null, @@ -1516,7 +1516,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:27.458752902Z", + "created_at": "2025-10-02T02:55:06.605895Z", "done": false, "done_reason": null, "total_duration": null, @@ -1534,7 +1534,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:27.651757232Z", + "created_at": 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{ "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:28.412024854Z", + "created_at": "2025-10-02T02:55:06.816599Z", "done": false, "done_reason": null, "total_duration": null, @@ -1624,7 +1624,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:28.603242201Z", + "created_at": "2025-10-02T02:55:06.859503Z", "done": false, "done_reason": null, "total_duration": null, @@ -1642,7 +1642,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:28.793015428Z", + "created_at": "2025-10-02T02:55:06.901146Z", "done": false, "done_reason": null, "total_duration": null, @@ -1660,7 +1660,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:28.98105341Z", + "created_at": "2025-10-02T02:55:06.943698Z", "done": false, "done_reason": 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"2025-10-01T01:35:29.737967784Z", + "created_at": "2025-10-02T02:55:07.109785Z", "done": false, "done_reason": null, "total_duration": null, @@ -1750,7 +1750,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:29.926196503Z", + "created_at": "2025-10-02T02:55:07.151491Z", "done": false, "done_reason": null, "total_duration": null, @@ -1768,7 +1768,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:30.117904197Z", + "created_at": "2025-10-02T02:55:07.192762Z", "done": false, "done_reason": null, "total_duration": null, @@ -1786,7 +1786,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:35:30.309146475Z", + "created_at": "2025-10-02T02:55:07.2337Z", "done": false, "done_reason": null, "total_duration": null, @@ -1804,15 +1804,15 @@ 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\"description\": \"Whether to return the boiling point in Celcius\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nCall get_boiling_point tool and answer What is the boiling point of polyjuice?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n", + "options": { + "temperature": 0.0001, + "top_p": 0.9 + }, + "stream": true + }, + "endpoint": "/api/generate", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.266524Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "[", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.307779Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "get", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.349588Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "_bo", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.392007Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "iling", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.435225Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "_point", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.47687Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "(", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.518854Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "liquid", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.560093Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "_name", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.601376Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "='", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.642613Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "poly", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.686473Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ju", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.728965Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ice", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.770498Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "',", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.812614Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " cel", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.854407Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ci", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.896933Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "us", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.938059Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "=True", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:11.980332Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": ")]", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:12.021812Z", + "done": true, + "done_reason": "stop", + "total_duration": 900445208, + "load_duration": 78206917, + "prompt_eval_count": 364, + "prompt_eval_duration": 65645917, + "eval_count": 19, + "eval_duration": 755986375, + "response": "", + "thinking": null, + "context": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/37706c1729ba.json b/tests/integration/recordings/responses/37706c1729ba.json index 74caaadf1..7bb9784f5 100644 --- a/tests/integration/recordings/responses/37706c1729ba.json +++ b/tests/integration/recordings/responses/37706c1729ba.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-923", + "id": "chatcmpl-905", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282470, + "created": 1759441160, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/378412143edb.json b/tests/integration/recordings/responses/378412143edb.json new file mode 100644 index 000000000..bbd3517d5 --- /dev/null +++ b/tests/integration/recordings/responses/378412143edb.json @@ -0,0 +1,419 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "What is the boiling point of the liquid polyjuice in celsius?" + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "id": "call_ay3w6qne", + "type": "function", + "function": { + "name": "get_boiling_point", + "arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}" + } + } + ] + }, + { + "role": "tool", + "tool_call_id": "call_ay3w6qne", + "content": "-100" + } + ], + "max_tokens": 0, + "stream": true, + "temperature": 0.0001, + "tool_choice": { + "type": "function", + "function": { + "name": "get_boiling_point" + } + }, + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "string", + "description": "The name of the liquid" + }, + "celcius": { + "type": "boolean", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-250", + "choices": [ + { + "delta": { + "content": "The", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759428020, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-250", + "choices": [ + { + "delta": { + "content": " boiling", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 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a/tests/integration/recordings/responses/38ea441b5f83.json b/tests/integration/recordings/responses/38ea441b5f83.json index 79886b389..03229846b 100644 --- a/tests/integration/recordings/responses/38ea441b5f83.json +++ b/tests/integration/recordings/responses/38ea441b5f83.json @@ -46,7 +46,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-761", + "id": "chatcmpl-236", "choices": [ { "finish_reason": "tool_calls", @@ -61,7 +61,7 @@ "function_call": null, "tool_calls": [ { - "id": "call_cj8ownwc", + "id": "call_u4ydewqv", "function": { "arguments": "{\"location\":\"San Francisco, CA\"}", "name": "get_weather" @@ -73,15 +73,15 @@ } } ], - "created": 1758975113, + "created": 1759376610, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 18, + "completion_tokens": 20, "prompt_tokens": 185, - "total_tokens": 203, + 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"openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -27,7 +27,7 @@ "text": "Blue" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -37,7 +37,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -46,7 +46,7 @@ "text": ".\n\n" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -56,7 +56,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -65,7 +65,7 @@ "text": "The" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -75,16 +75,16 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, "index": 0, "logprobs": null, - "text": " completed" + "text": " classic" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -94,16 +94,16 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, "index": 0, "logprobs": null, - "text": " sentence" + "text": " rh" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -113,7 +113,83 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", + "choices": [ + { + "finish_reason": null, + "index": 0, + "logprobs": null, + "text": "ym" + } + ], + "created": 1759437793, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "cmpl-676", + "choices": [ + { + "finish_reason": null, + "index": 0, + "logprobs": null, + "text": "ing" + } + ], + "created": 1759437793, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "cmpl-676", + "choices": [ + { + "finish_reason": null, + "index": 0, + "logprobs": null, + "text": " couple" + } + ], + "created": 1759437793, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "cmpl-676", + "choices": [ + { + "finish_reason": null, + "index": 0, + "logprobs": null, + "text": "t" + } + ], + "created": 1759437793, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -122,7 +198,7 @@ "text": " is" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -132,7 +208,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -141,7 +217,7 @@ "text": " a" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -151,7 +227,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -160,7 +236,7 @@ "text": " well" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -170,7 +246,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -179,7 +255,7 @@ "text": "-known" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -189,7 +265,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, @@ -198,7 +274,7 @@ "text": " phrase" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -208,16 +284,16 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, "index": 0, "logprobs": null, - "text": " from" + "text": " that" } ], - "created": 1757857132, + "created": 1759437793, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -227,16 +303,16 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", + "id": "cmpl-676", "choices": [ { "finish_reason": null, "index": 0, "logprobs": null, - "text": " a" + "text": " completes" } ], - "created": 1757857132, + "created": 1759437794, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", @@ -246,653 +322,7 @@ { "__type__": "openai.types.completion.Completion", "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " traditional" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " English" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " poem" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": ":\n\n" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "\"" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "R" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "oses" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " are" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " red" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "," - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " v" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "io" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "lets" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " are" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " blue" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": ",\n" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "Sugar" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ 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"openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " and" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " so" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " are" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " you" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": ".\"" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " However" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "," - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " in" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " many" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " variations" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " of" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " this" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": " poem" - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.completion.Completion", - "__data__": { - "id": "cmpl-439", - "choices": [ - { - "finish_reason": null, - "index": 0, - "logprobs": null, - "text": "," - } - ], - "created": 1757857132, - "model": "llama3.2:3b-instruct-fp16", - "object": "text_completion", - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": 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+ } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/41ac2702de6c.json b/tests/integration/recordings/responses/41ac2702de6c.json index 987f16ae1..92c1fc0cd 100644 --- a/tests/integration/recordings/responses/41ac2702de6c.json +++ b/tests/integration/recordings/responses/41ac2702de6c.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-402", + "id": "chatcmpl-682", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759245123, + "created": 1759437798, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/4283d7199d9b.json b/tests/integration/recordings/responses/4283d7199d9b.json new file mode 100644 index 000000000..c09104a8c --- /dev/null +++ b/tests/integration/recordings/responses/4283d7199d9b.json @@ -0,0 +1,366 @@ +{ + "request": { + "method": "POST", + "url": 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a/tests/integration/recordings/responses/4c651211b0e0.json b/tests/integration/recordings/responses/4c651211b0e0.json index dbed465cf..94ba43163 100644 --- a/tests/integration/recordings/responses/4c651211b0e0.json +++ b/tests/integration/recordings/responses/4c651211b0e0.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-796", + "id": "chatcmpl-216", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759368388, + "created": 1759441674, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/4ebcaf6c2aee.json b/tests/integration/recordings/responses/4ebcaf6c2aee.json index 41dc9ab1a..f57994797 100644 --- a/tests/integration/recordings/responses/4ebcaf6c2aee.json +++ b/tests/integration/recordings/responses/4ebcaf6c2aee.json @@ -19,22 +19,390 @@ "data": [ { "embedding": [ - 0.253706, - 0.016367152, - 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You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_boiling_point\",\n \"description\": \"Returns the boiling point of a liquid in Celcius or Fahrenheit.\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"liquid_name\"],\n \"properties\": {\n \"liquid_name\": {\n \"type\": \"str\",\n \"description\": \"The name of the liquid\"\n },\n \"celcius\": {\n \"type\": \"bool\",\n 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"openai.types.completion.Completion", "__data__": { - "id": "cmpl-104", + "id": "cmpl-865", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, - "text": "blue.\n\nI completed the sentence with \"blue\" because it is a common completion used to complete the traditional nursery rhyme, which ends with:\n\nRoses are red,\nViolets are blue.\n\nThe complete rhyme is often remembered and recited as follows:\n\nRoses are red,\nViolets are blue,\nSugar is sweet,\nAnd so are you!" + "text": "Blue.\n\nMy answer is \"blue\" because it's a classic completion of the traditional nursery rhyme poem:\n\n\"Roses are red, violets are blue\"\n\nThis sentiment suggests that an unseen suitor from the first half of the line has given or will give the speaker roses." } ], - "created": 1757857132, + "created": 1759441353, "model": "llama3.2:3b-instruct-fp16", "object": "text_completion", "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 72, + "completion_tokens": 58, "prompt_tokens": 50, - "total_tokens": 122, + "total_tokens": 108, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/recordings/responses/6540a315ea8e.json b/tests/integration/recordings/responses/6540a315ea8e.json new file mode 100644 index 000000000..68b7c0a21 --- /dev/null +++ b/tests/integration/recordings/responses/6540a315ea8e.json @@ -0,0 +1,119 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "Call get_boiling_point tool and answer What is the boiling point of polyjuice?" + } + ], + "max_tokens": 512, + "stream": true, + "temperature": 0.0001, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "string", + "description": "The name of the liquid" + }, + "celcius": { + "type": "boolean", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-545", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_d1i5ou69", + "function": { + "arguments": "{\"celcius\":null,\"liquid_name\":\"polyjuice\"}", + "name": "get_boiling_point" + }, + "type": "function" + } + ] + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759441675, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-545", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null + } + ], + "created": 1759441675, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/65c12de0a1db.json b/tests/integration/recordings/responses/65c12de0a1db.json index e1c0fb8fc..31f88271d 100644 --- a/tests/integration/recordings/responses/65c12de0a1db.json +++ b/tests/integration/recordings/responses/65c12de0a1db.json @@ -24,14 +24,14 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-123", + "id": "chatcmpl-528", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "Hello! As of my knowledge cutoff on December 15th, I have the latest information for you. However, please note that my data may not be entirely up-to-date.\n\nCurrently, and based on historical climate patterns, it appears to be a partly cloudy day with mild temperatures in San Francisco, CA. Expect a temperature range of around 48\u00b0F (9\u00b0C) to 54\u00b0F (12\u00b0C). It's likely to be a breezy day, with winds blowing at about 13 mph (21 km/h).\n\nHowever, if I were to look into more recent weather patterns or forecasts, I would recommend checking the latest conditions directly from reliable sources such as the National Weather Service or local news outlets for more accurate and up-to-date information.\n\nPlease let me know how I can further assist you.", + "content": "I can give you a general idea of the typical weather conditions in San Francisco during this time.\n\nUnfortunately, I'm not aware of your current location or date. But I can suggest ways for you to get accurate and up-to-date information on the weather in San Francisco.\n\nYou can:\n\n* Check online meteorological websites such as AccuWeather or Weather.com for current conditions and forecasts.\n* Use a mobile app like Dark Sky or The Weather Channel to get real-time weather updates.\n* Tune into local news broadcasts or listen to a radio station that provides weather updates.\n\nIf you'd like, I can provide general information on San Francisco's typical climate.", "refusal": null, "role": "assistant", "annotations": null, @@ -41,15 +41,15 @@ } } ], - "created": 1758978071, + "created": 1759376616, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 163, + "completion_tokens": 131, "prompt_tokens": 45, - "total_tokens": 208, + "total_tokens": 176, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/recordings/responses/67f94c4f8ba0.json b/tests/integration/recordings/responses/67f94c4f8ba0.json index cd8ad4f35..f4b36af9a 100644 --- a/tests/integration/recordings/responses/67f94c4f8ba0.json +++ b/tests/integration/recordings/responses/67f94c4f8ba0.json @@ -28,7 +28,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-932", + "id": "chatcmpl-681", "choices": [ { "delta": { @@ -43,7 +43,7 @@ "logprobs": null } ], - "created": 1759427020, + "created": 1759441668, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -54,7 +54,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-932", + "id": "chatcmpl-681", "choices": [ { "delta": { @@ -69,7 +69,7 @@ "logprobs": null } ], - "created": 1759427020, + "created": 1759441668, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", 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"system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "What is the boiling point of the liquid polyjuice in celsius?" + } + ], + "max_tokens": 512, + "stream": true, + "temperature": 0.0001, + "tool_choice": { + "type": "function", + "function": { + "name": "get_boiling_point" + } + }, + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "string", + "description": "The name of the liquid" + }, + "celcius": { + "type": "boolean", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-366", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_k3oc5cxw", + "function": { + "arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}", + "name": "get_boiling_point" + }, + "type": "function" + } + ] + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759441672, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-366", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null + } + ], + "created": 1759441672, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/7fc8b6ca483d.json b/tests/integration/recordings/responses/7fc8b6ca483d.json new file mode 100644 index 000000000..5e6d7f57b --- /dev/null +++ b/tests/integration/recordings/responses/7fc8b6ca483d.json @@ -0,0 +1,57 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'Assistant' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Get the boiling point of polyjuice with a tool call.\n\nAssistant: \n\nTool: Error when running tool: 'ToolCall' object has no attribute 'arguments_json'\n\nAssistant: I apologize for the error. Here is the revised tool call:\n\n{\"name\": \"get_boiling_point\", \"parameters\": {\"liquid_name\": \"polyjuice\"}}\n\n\n\nProvide your safety assessment for ONLY THE LAST Assistant message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "chatcmpl-8", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "unsafe\nS9", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 1759437821, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 5, + "prompt_tokens": 455, + "total_tokens": 460, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + } +} diff --git a/tests/integration/recordings/responses/80311f244b55.json b/tests/integration/recordings/responses/80311f244b55.json index 707befc07..a5818368c 100644 --- a/tests/integration/recordings/responses/80311f244b55.json +++ b/tests/integration/recordings/responses/80311f244b55.json @@ -22,1170 +22,1170 @@ "data": [ { "embedding": [ - -0.038157914, - 0.03290493, - -0.0055371798, - 0.014353213, - -0.040209096, - -0.11667767, - 0.03170551, - 0.0019347348, - -0.04254092, - 0.029190615, - 0.042559944, - 0.032130145, - 0.02983921, - 0.010979105, - -0.053759154, - -0.05030495, - -0.023470305, - 0.010730486, - -0.1377361, - 0.0039985846, - 0.029267203, - 0.066698566, - -0.015405643, - 0.04843479, - -0.0881545, - -0.012694429, - 0.041265942, - 0.04089442, - 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b/tests/integration/recordings/responses/80e4404d8987.json index 09d510916..226b6648d 100644 --- a/tests/integration/recordings/responses/80e4404d8987.json +++ b/tests/integration/recordings/responses/80e4404d8987.json @@ -22,7 +22,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:33:10.76700718Z", + "created_at": "2025-10-02T02:54:51.50254Z", "done": false, "done_reason": null, "total_duration": null, @@ -40,7 +40,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:33:10.956949035Z", + "created_at": "2025-10-02T02:54:51.549521Z", "done": false, "done_reason": null, "total_duration": null, @@ -58,7 +58,7 @@ "__type__": "ollama._types.GenerateResponse", "__data__": { "model": "llama3.2:3b-instruct-fp16", - "created_at": "2025-10-01T01:33:11.147886127Z", + "created_at": "2025-10-02T02:54:51.594384Z", "done": false, 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+38,7 @@ } } ], - "created": 1759282388, + "created": 1759437810, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/8965c0df9071.json b/tests/integration/recordings/responses/8965c0df9071.json new file mode 100644 index 000000000..66926eb11 --- /dev/null +++ b/tests/integration/recordings/responses/8965c0df9071.json @@ -0,0 +1,119 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant Always respond with tool calls no matter what. 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"finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759245127, + "created": 1759437800, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/b178d000a14a.json b/tests/integration/recordings/responses/b178d000a14a.json new file mode 100644 index 000000000..715bfe484 --- /dev/null +++ b/tests/integration/recordings/responses/b178d000a14a.json @@ -0,0 +1,57 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'Assistant' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: What is the boiling point of the liquid polyjuice in celsius?\n\nAssistant: \n\nTool: Error when running tool: 'ToolCall' object has no attribute 'arguments_json'\n\nAssistant: I was unable to find the boiling point of liquid polyjuice in Celsius. The boiling point could not be located in my database.\n\n\n\nProvide your safety assessment for ONLY THE LAST Assistant message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "chatcmpl-9", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "safe", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 1759437833, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 2, + "prompt_tokens": 449, + "total_tokens": 451, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + } +} diff --git a/tests/integration/recordings/responses/b28f75bd87dc.json b/tests/integration/recordings/responses/b28f75bd87dc.json index d37fbede8..f01da4be5 100644 --- a/tests/integration/recordings/responses/b28f75bd87dc.json +++ b/tests/integration/recordings/responses/b28f75bd87dc.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-489", + "id": "chatcmpl-36", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282539, + "created": 1759441671, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/b374fc18c641.json b/tests/integration/recordings/responses/b374fc18c641.json new file mode 100644 index 000000000..55cf0d7f3 --- /dev/null +++ b/tests/integration/recordings/responses/b374fc18c641.json @@ -0,0 +1,258 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_boiling_point\",\n \"description\": \"Returns the boiling point of a liquid in Celcius or Fahrenheit.\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"liquid_name\"],\n \"properties\": {\n \"liquid_name\": {\n \"type\": \"str\",\n \"description\": \"The name of the liquid\"\n },\n \"celcius\": {\n \"type\": \"bool\",\n 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"context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:10.481337Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ju", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:55:10.526974Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ice", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": 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"user", + "content": "Call get_boiling_point_with_metadata tool and answer What is the boiling point of polyjuice?" + } + ], + "max_tokens": 512, + "stream": true, + "temperature": 0.0001, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point_with_metadata", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "string", + "description": "The name of the liquid" + }, + "celcius": { + "type": "boolean", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-613", + "choices": [ + { + "delta": { + "content": 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"service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/b58e35a624b0.json b/tests/integration/recordings/responses/b58e35a624b0.json index f3eb65091..4f93947bc 100644 --- a/tests/integration/recordings/responses/b58e35a624b0.json +++ b/tests/integration/recordings/responses/b58e35a624b0.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-944", + "id": "chatcmpl-912", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759368373, + "created": 1759437811, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/c13d7510774c.json b/tests/integration/recordings/responses/c13d7510774c.json index 00e9659e9..b51ac089e 100644 --- a/tests/integration/recordings/responses/c13d7510774c.json +++ 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b/tests/integration/recordings/responses/c1f63bb6469c.json new file mode 100644 index 000000000..0f25e35da --- /dev/null +++ b/tests/integration/recordings/responses/c1f63bb6469c.json @@ -0,0 +1,119 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "Call get_boiling_point_with_metadata tool and answer What is the boiling point of polyjuice?" + } + ], + "max_tokens": 0, + "stream": true, + "temperature": 0.0001, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point_with_metadata", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "str", + "description": "The name of the liquid" + }, + "celcius": { + "type": "bool", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-14", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_1fnozor9", + "function": { + "arguments": "{\"celcius\":null,\"liquid_name\":\"polyjuice\"}", + "name": "get_boiling_point_with_metadata" + }, + "type": "function" + } + ] + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759425243, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-14", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null + } + ], + "created": 1759425243, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/c2ac76cbf66d.json b/tests/integration/recordings/responses/c2ac76cbf66d.json index 496f41815..d9b0d7f1d 100644 --- a/tests/integration/recordings/responses/c2ac76cbf66d.json +++ b/tests/integration/recordings/responses/c2ac76cbf66d.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-876", + "id": "chatcmpl-368", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282400, + "created": 1759373692, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/c3dbccc5de74.json b/tests/integration/recordings/responses/c3dbccc5de74.json index a2043db9a..699297a59 100644 --- a/tests/integration/recordings/responses/c3dbccc5de74.json +++ b/tests/integration/recordings/responses/c3dbccc5de74.json @@ -47,7 +47,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-634", + "id": "chatcmpl-688", "choices": [ { "delta": { @@ -58,7 +58,7 @@ "tool_calls": [ { "index": 0, - "id": "call_wubm4yax", + "id": "call_bnha2w8y", "function": { "arguments": "{\"location\":\"San Francisco, CA\"}", "name": "get_weather" @@ -72,7 +72,7 @@ "logprobs": null } ], - "created": 1758975115, + "created": 1759376611, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -83,7 +83,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-634", + "id": "chatcmpl-688", "choices": [ { "delta": { @@ -98,7 +98,7 @@ "logprobs": null } ], - "created": 1758975115, + "created": 1759376611, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, diff --git a/tests/integration/recordings/responses/c4991de37dfb.json b/tests/integration/recordings/responses/c4991de37dfb.json new file mode 100644 index 000000000..e7feca5ca --- /dev/null +++ b/tests/integration/recordings/responses/c4991de37dfb.json @@ -0,0 +1,78 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "user", + "content": "Call the no args tool" + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "no_args_tool", + "description": "Tool with no arguments", + "parameters": { + "type": "object", + "properties": {} + } + } + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "chatcmpl-978", + "choices": [ + { + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null, + "message": { + "content": "", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": [ + { + "id": "call_wbx3rwxz", + "function": { + "arguments": "{}", + "name": "no_args_tool" + }, + "type": "function", + "index": 0 + } + ] + } + } + ], + "created": 1759437808, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 14, + "prompt_tokens": 148, + "total_tokens": 162, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + } +} diff --git a/tests/integration/recordings/responses/c62eb5d7115e.json b/tests/integration/recordings/responses/c62eb5d7115e.json index fa872ac44..9dcd317f7 100644 --- a/tests/integration/recordings/responses/c62eb5d7115e.json +++ b/tests/integration/recordings/responses/c62eb5d7115e.json @@ -20,14 +20,14 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-842", + "id": "chatcmpl-422", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "The smallest country in the world is the Vatican City, an independent city-state located within Rome, Italy. 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null, + "eval_duration": null, + "response": " point", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:55.996666Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " of", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.038076Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " poly", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.079306Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ju", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.121626Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "ice", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.162658Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " is", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.203804Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " -", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.245419Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "100", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.286364Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "\u00b0C", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.327683Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": ".", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:56.369528Z", + "done": true, + "done_reason": "stop", + "total_duration": 708500166, + "load_duration": 138748458, + "prompt_eval_count": 392, + "prompt_eval_duration": 68099125, + "eval_count": 13, + "eval_duration": 500834417, + "response": "", + "thinking": null, + "context": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/cd294c2e0038.json b/tests/integration/recordings/responses/cd294c2e0038.json index 985cfa1bb..944ccbf52 100644 --- a/tests/integration/recordings/responses/cd294c2e0038.json +++ b/tests/integration/recordings/responses/cd294c2e0038.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-251", + "id": "chatcmpl-249", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282591, + "created": 1759373711, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/ce21235ebde2.json b/tests/integration/recordings/responses/ce21235ebde2.json new file mode 100644 index 000000000..25518bca7 --- /dev/null +++ b/tests/integration/recordings/responses/ce21235ebde2.json @@ -0,0 +1,124 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "What is the boiling point of the liquid polyjuice in celsius?" + } + ], + "max_tokens": 0, + "stream": true, + "temperature": 0.0001, + "tool_choice": { + "type": "function", + "function": { + "name": "get_boiling_point" + } + }, + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "str", + "description": "The name of the liquid" + }, + "celcius": { + "type": "bool", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-993", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_mw57o9vn", + "function": { + "arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}", + "name": "get_boiling_point" + }, + "type": "function" + } + ] + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759425519, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-993", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null + } + ], + "created": 1759425519, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/cf776b1aa432.json b/tests/integration/recordings/responses/cf776b1aa432.json index 3b08967d5..844905a35 100644 --- a/tests/integration/recordings/responses/cf776b1aa432.json +++ b/tests/integration/recordings/responses/cf776b1aa432.json @@ -21,7 +21,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -36,7 +36,7 @@ "logprobs": null } ], - "created": 1759282661, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -47,7 +47,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -62,7 +62,7 @@ "logprobs": null } ], - "created": 1759282661, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -73,7 +73,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -88,7 +88,7 @@ "logprobs": null } ], - "created": 1759282661, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -99,7 +99,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -114,7 +114,7 @@ "logprobs": null } ], - "created": 1759282661, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -125,7 +125,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -140,7 +140,7 @@ "logprobs": null } ], - "created": 1759282661, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -151,7 +151,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -166,7 +166,7 @@ "logprobs": null } ], - "created": 1759282662, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -177,7 +177,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -192,7 +192,7 @@ "logprobs": null } ], - "created": 1759282662, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, @@ -203,7 +203,7 @@ { "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", "__data__": { - "id": "chatcmpl-615", + "id": "chatcmpl-883", "choices": [ { "delta": { @@ -218,7 +218,7 @@ "logprobs": null } ], - "created": 1759282662, + "created": 1759437865, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion.chunk", "service_tier": null, diff --git a/tests/integration/recordings/responses/d7caf68e394e.json b/tests/integration/recordings/responses/d7caf68e394e.json index 2347344c1..8bf2ef23e 100644 --- a/tests/integration/recordings/responses/d7caf68e394e.json +++ b/tests/integration/recordings/responses/d7caf68e394e.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-480", + "id": "chatcmpl-953", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759282535, + "created": 1759373707, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/d9e8f66e1d85.json b/tests/integration/recordings/responses/d9e8f66e1d85.json new file mode 100644 index 000000000..0dd6d2a17 --- /dev/null +++ b/tests/integration/recordings/responses/d9e8f66e1d85.json @@ -0,0 +1,117 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "user", + "content": "Book a flight from SFO to JFK for John Doe" + } + ], + "tools": [ + { + "type": "function", + "function": { + "name": "book_flight", + "description": "Book a flight", + "parameters": { + "type": "object", + "properties": { + "flight": { + "$ref": "#/$defs/FlightInfo" + }, + "passenger": { + "$ref": "#/$defs/Passenger" + } + }, + "required": [ + "flight", + "passenger" + ], + "$defs": { + "FlightInfo": { + "type": "object", + "properties": { + "from": { + "type": "string" + }, + "to": { + "type": "string" + }, + "date": { + "type": "string", + "format": "date" + } + } + }, + "Passenger": { + "type": "object", + "properties": { + "name": { + "type": "string" + }, + "age": { + "type": "integer" + } + } + } + } + } + } + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "chatcmpl-128", + "choices": [ + { + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null, + "message": { + "content": "", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": [ + { + "id": "call_bdq6iic2", + "function": { + "arguments": "{\"flight\":\"{\\\"date\\\":\\\"2023-08-20\\\",\\\"from\\\":\\\"SFO\\\",\\\"to\\\":\\\"JFK\\\"}\",\"passenger\":\"{\\\"age\\\":30,\\\"name\\\":\\\"John Doe\\\"}\"}", + "name": "book_flight" + }, + "type": "function", + "index": 0 + } + ] + } + } + ], + "created": 1759437805, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 52, + "prompt_tokens": 227, + "total_tokens": 279, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + } +} diff --git a/tests/integration/recordings/responses/df20f4b62da7.json b/tests/integration/recordings/responses/df20f4b62da7.json new file mode 100644 index 000000000..9c22642d5 --- /dev/null +++ b/tests/integration/recordings/responses/df20f4b62da7.json @@ -0,0 +1,258 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n {\n \"name\": \"get_boiling_point\",\n \"description\": \"Returns the boiling point of a liquid in Celcius or Fahrenheit.\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"liquid_name\"],\n \"properties\": {\n \"liquid_name\": {\n \"type\": \"str\",\n \"description\": \"The name of the liquid\"\n },\n \"celcius\": {\n \"type\": \"bool\",\n \"description\": \"Whether to return the boiling point in Celcius\"\n }\n }\n }\n }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant Always respond with tool calls no matter what. <|eot_id|><|start_header_id|>user<|end_header_id|>\n\nGet the boiling point of polyjuice with a tool call.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[get_boiling_point(liquid_name=\"polyjuice\", celcius=True)]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\n-100<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n", + "options": { + "temperature": 0.0001, + "top_p": 0.9 + }, + "stream": true + }, + "endpoint": "/api/generate", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:58.856153Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": "The", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:58.898198Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, + "prompt_eval_duration": null, + "eval_count": null, + "eval_duration": null, + "response": " boiling", + "thinking": null, + "context": null + } + }, + { + "__type__": "ollama._types.GenerateResponse", + "__data__": { + "model": "llama3.2:3b-instruct-fp16", + "created_at": "2025-10-02T02:54:58.939822Z", + "done": false, + "done_reason": null, + "total_duration": null, + "load_duration": null, + "prompt_eval_count": null, 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"object": "list", + "usage": { + "prompt_tokens": 15, + "total_tokens": 15 + } + } + }, + "is_streaming": false + } +} diff --git a/tests/integration/recordings/responses/f23defea82ec.json b/tests/integration/recordings/responses/f23defea82ec.json index 1e964af04..5d37b2524 100644 --- a/tests/integration/recordings/responses/f23defea82ec.json +++ b/tests/integration/recordings/responses/f23defea82ec.json @@ -19,22 +19,390 @@ "data": [ { "embedding": [ - 0.253706, - 0.016367152, - -0.29664654, - 0.31654558, - -0.18624601, - 0.07602756, - -0.031531323, - 0.2986085, - -0.49672848, - -0.36617878, - 0.25328273, - -0.33349335, - 0.0060151755, - 0.14081024, - -0.13757885, - -0.14679416 + 0.04635219, + 0.002988263, + -0.054220885, + 0.057812735, + -0.0340614, + 0.013923248, + -0.005755826, + 0.054555666, + -0.09073176, + -0.066910096, + 0.046287432, + -0.060912322, + 0.0010950539, + 0.025724398, + -0.025169374, + -0.026821515, + -0.030190151, + 0.0019341545, + -0.0754819, + 0.057380512, + 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"chatcmpl-282", + "id": "chatcmpl-685", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "The largest planet in our solar system is Jupiter. It is a gas giant, with a diameter of approximately 142,984 kilometers (88,846 miles). This makes it more than 11 times the diameter of the Earth and more than 2.5 times the mass of all the other planets in our solar system combined.", + "content": "The largest planet in our solar system is Jupiter. It is a gas giant and has a diameter of approximately 142,984 kilometers (88,846 miles). Jupiter is more than 1,300 times the size of Earth and is the fifth planet from the Sun.", "refusal": null, "role": "assistant", "annotations": null, @@ -37,15 +37,15 @@ } } ], - "created": 1759012143, + "created": 1759437857, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 67, + "completion_tokens": 55, "prompt_tokens": 35, - "total_tokens": 102, + "total_tokens": 90, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/recordings/responses/f340a394f6e0.json b/tests/integration/recordings/responses/f340a394f6e0.json index 50826e3c1..96ea5dab0 100644 --- a/tests/integration/recordings/responses/f340a394f6e0.json +++ b/tests/integration/recordings/responses/f340a394f6e0.json @@ -21,7 +21,7 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-494", + "id": "chatcmpl-233", "choices": [ { "finish_reason": "stop", @@ -38,7 +38,7 @@ } } ], - "created": 1759245126, + "created": 1759437799, "model": "llama-guard3:1b", "object": "chat.completion", "service_tier": null, diff --git a/tests/integration/recordings/responses/f6a1cb47dfe8.json b/tests/integration/recordings/responses/f6a1cb47dfe8.json new file mode 100644 index 000000000..e5677335b --- /dev/null +++ b/tests/integration/recordings/responses/f6a1cb47dfe8.json @@ -0,0 +1,170 @@ +{ + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "Say hi to the world. Use tools to do so." + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "id": "call_qvp9u80l", + "type": "function", + "function": { + "name": "greet_everyone", + "arguments": "{\"url\":\"world\"}" + } + } + ] + }, + { + "role": "tool", + "tool_call_id": "call_qvp9u80l", + "content": [ + { + "type": "text", + "text": "Hello, world!" + } + ] + }, + { + "role": "assistant", + "content": "<|python_tag|>{\"message\": \"Hello, world!\", \"type\": \"hello_world\"}" + }, + { + "role": "user", + "content": "What is the boiling point of polyjuice? Use tools to answer." + } + ], + "max_tokens": 0, + "stream": true, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "greet_everyone", + "parameters": { + "properties": { + "url": { + "title": "Url", + "type": "string" + } + }, + "required": [ + "url" + ], + "title": "greet_everyoneArguments", + "type": "object" + } + } + }, + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "\n Returns the boiling point of a liquid in Celsius or Fahrenheit.\n\n :param liquid_name: The name of the liquid\n :param celsius: Whether to return the boiling point in Celsius\n :return: The boiling point of the liquid in Celcius or Fahrenheit\n ", + "parameters": { + "properties": { + "liquid_name": { + "title": "Liquid Name", + "type": "string" + }, + "celsius": { + "default": true, + "title": "Celsius", + "type": "boolean" + } + }, + "required": [ + "liquid_name" + ], + "title": "get_boiling_pointArguments", + "type": "object" + } + } + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-827", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_y1jmdav5", + "function": { + "arguments": "{\"celsius\":\"false\",\"liquid_name\":\"polyjuice\"}", + "name": "get_boiling_point" + }, + "type": "function" + } + ] + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 1759437847, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "chatcmpl-827", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "tool_calls", + "index": 0, + "logprobs": null + } + ], + "created": 1759437848, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + } +} diff --git a/tests/integration/recordings/responses/f70f30f54211.json b/tests/integration/recordings/responses/f70f30f54211.json index c4dd90e68..ba0d1d59d 100644 --- a/tests/integration/recordings/responses/f70f30f54211.json +++ b/tests/integration/recordings/responses/f70f30f54211.json @@ -38,42 +38,32 @@ "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { - "id": "chatcmpl-10", + "id": "chatcmpl-755", "choices": [ { - "finish_reason": "tool_calls", + "finish_reason": "stop", "index": 0, "logprobs": null, "message": { - "content": "", + "content": "{\"name\":\"get_weather\",\"parameters\":{\\>\"city\": \"Tokyo\"}}", "refusal": null, "role": "assistant", "annotations": null, "audio": null, "function_call": null, - "tool_calls": [ - { - "id": "call_7cm57k1b", - "function": { - "arguments": "{\"city\":\"Tokyo\"}", - "name": "get_weather" - }, - "type": "function", - "index": 0 - } - ] + "tool_calls": null } } ], - "created": 1756921368, + "created": 1759437886, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 18, + "completion_tokens": 17, "prompt_tokens": 177, - "total_tokens": 195, + "total_tokens": 194, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/recordings/responses/f8ba05a5ce61.json b/tests/integration/recordings/responses/f8ba05a5ce61.json new file mode 100644 index 000000000..a09e430bd --- /dev/null +++ b/tests/integration/recordings/responses/f8ba05a5ce61.json @@ -0,0 +1,402 @@ +{ + "request": { + "method": "POST", + "url": "http://localhost:11434/api/generate", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "raw": true, + "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. 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"id": "gpt-3.5-turbo-16k", + "created": 1683758102, + "object": "model", + "owned_by": "openai-internal" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "tts-1", + "created": 1681940951, + "object": "model", + "owned_by": "openai-internal" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "whisper-1", + "created": 1677532384, + "object": "model", + "owned_by": "openai-internal" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "text-embedding-ada-002", + "created": 1671217299, + "object": "model", + "owned_by": "openai-internal" + } + } + ], + "is_streaming": false + } +} diff --git a/tests/integration/tool_runtime/test_builtin_tools.py b/tests/integration/tool_runtime/test_builtin_tools.py index 1acf06719..97300a8dd 100644 --- a/tests/integration/tool_runtime/test_builtin_tools.py +++ b/tests/integration/tool_runtime/test_builtin_tools.py @@ -26,7 +26,7 @@ def test_web_search_tool(llama_stack_client, sample_search_query): pytest.skip("TAVILY_SEARCH_API_KEY not set, skipping test") tools = llama_stack_client.tool_runtime.list_tools() - assert any(tool.identifier == "web_search" for tool in tools) + assert any(tool.name == "web_search" for tool in tools) response = llama_stack_client.tool_runtime.invoke_tool( tool_name="web_search", kwargs={"query": sample_search_query} @@ -52,7 +52,7 @@ def test_wolfram_alpha_tool(llama_stack_client, sample_wolfram_alpha_query): pytest.skip("WOLFRAM_ALPHA_API_KEY not set, skipping test") tools = llama_stack_client.tool_runtime.list_tools() - assert any(tool.identifier == "wolfram_alpha" for tool in tools) + assert any(tool.name == "wolfram_alpha" for tool in tools) response = llama_stack_client.tool_runtime.invoke_tool( tool_name="wolfram_alpha", kwargs={"query": sample_wolfram_alpha_query} ) diff --git a/tests/integration/tool_runtime/test_mcp.py b/tests/integration/tool_runtime/test_mcp.py index 831186b15..9e22d3e58 100644 --- a/tests/integration/tool_runtime/test_mcp.py +++ b/tests/integration/tool_runtime/test_mcp.py @@ -54,14 +54,14 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server): } with pytest.raises(Exception, match="Unauthorized"): - llama_stack_client.tools.list() + llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id) response = llama_stack_client.tools.list( toolgroup_id=test_toolgroup_id, extra_headers=auth_headers, ) assert len(response) == 2 - assert {t.identifier for t in response} == {"greet_everyone", "get_boiling_point"} + assert {t.name for t in response} == {"greet_everyone", "get_boiling_point"} response = llama_stack_client.tool_runtime.invoke_tool( tool_name="greet_everyone", diff --git a/tests/integration/tool_runtime/test_mcp_json_schema.py b/tests/integration/tool_runtime/test_mcp_json_schema.py new file mode 100644 index 000000000..47e9ee029 --- /dev/null +++ b/tests/integration/tool_runtime/test_mcp_json_schema.py @@ -0,0 +1,404 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +Integration tests for MCP tools with complex JSON Schema support. +Tests $ref, $defs, and other JSON Schema features through MCP integration. +""" + +import json + +import pytest + +from llama_stack import LlamaStackAsLibraryClient +from tests.common.mcp import make_mcp_server + +AUTH_TOKEN = "test-token" + + +@pytest.fixture(scope="function") +def mcp_server_with_complex_schemas(): + """MCP server with tools that have complex schemas including $ref and $defs.""" + from mcp.server.fastmcp import Context + + async def book_flight(flight: dict, passengers: list[dict], payment: dict, ctx: Context) -> dict: + """ + Book a flight with passenger and payment information. + + This tool uses JSON Schema $ref and $defs for type reuse. + """ + return { + "booking_id": "BK12345", + "flight": flight, + "passengers": passengers, + "payment": payment, + "status": "confirmed", + } + + async def process_order(order_data: dict, ctx: Context) -> dict: + """ + Process an order with nested address information. + + Uses nested objects and $ref. + """ + return {"order_id": "ORD789", "status": "processing", "data": order_data} + + async def flexible_contact(contact_info: str, ctx: Context) -> dict: + """ + Accept flexible contact (email or phone). + + Uses anyOf schema. + """ + if "@" in contact_info: + return {"type": "email", "value": contact_info} + else: + return {"type": "phone", "value": contact_info} + + # Manually attach complex schemas to the functions + # (FastMCP might not support this by default, so this is test setup) + + # For MCP, we need to set the schema via tool annotations + # This is test infrastructure to force specific schemas + + tools = {"book_flight": book_flight, "process_order": process_order, "flexible_contact": flexible_contact} + + # Note: In real MCP implementation, we'd configure these schemas properly + # For testing, we may need to mock or extend the MCP server setup + + with make_mcp_server(required_auth_token=AUTH_TOKEN, tools=tools) as server_info: + yield server_info + + +@pytest.fixture(scope="function") +def mcp_server_with_output_schemas(): + """MCP server with tools that have output schemas defined.""" + from mcp.server.fastmcp import Context + + async def get_weather(location: str, ctx: Context) -> dict: + """ + Get weather with structured output. + + Has both input and output schemas. + """ + return {"temperature": 72.5, "conditions": "Sunny", "humidity": 45, "wind_speed": 10.2} + + async def calculate(x: float, y: float, operation: str, ctx: Context) -> dict: + """ + Perform calculation with validated output. + """ + operations = {"add": x + y, "subtract": x - y, "multiply": x * y, "divide": x / y if y != 0 else None} + result = operations.get(operation) + return {"result": result, "operation": operation} + + tools = {"get_weather": get_weather, "calculate": calculate} + + with make_mcp_server(required_auth_token=AUTH_TOKEN, tools=tools) as server_info: + yield server_info + + +class TestMCPSchemaPreservation: + """Test that MCP tool schemas are preserved correctly.""" + + def test_mcp_tools_list_with_schemas(self, llama_stack_client, mcp_server_with_complex_schemas): + """Test listing MCP tools preserves input_schema.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::complex_list" + uri = mcp_server_with_complex_schemas["server_url"] + + # Clean up any existing registration + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + # Register MCP toolgroup + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # List runtime tools + response = llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + tools = response + assert len(tools) > 0 + + # Check each tool has input_schema + for tool in tools: + assert hasattr(tool, "input_schema") + # Schema might be None or a dict depending on tool + if tool.input_schema is not None: + assert isinstance(tool.input_schema, dict) + # Should have basic JSON Schema structure + if "properties" in tool.input_schema: + assert "type" in tool.input_schema + + def test_mcp_schema_with_refs_preserved(self, llama_stack_client, mcp_server_with_complex_schemas): + """Test that $ref and $defs in MCP schemas are preserved.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::complex_refs" + uri = mcp_server_with_complex_schemas["server_url"] + + # Register + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # List tools + response = llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + # Find book_flight tool (which should have $ref/$defs) + book_flight_tool = next((t for t in response if t.name == "book_flight"), None) + + if book_flight_tool and book_flight_tool.input_schema: + # If the MCP server provides $defs, they should be preserved + # This is the KEY test for the bug fix + schema = book_flight_tool.input_schema + + # Check if schema has properties (might vary based on MCP implementation) + if "properties" in schema: + # Verify schema structure is preserved (exact structure depends on MCP server) + assert isinstance(schema["properties"], dict) + + # If $defs are present, verify they're preserved + if "$defs" in schema: + assert isinstance(schema["$defs"], dict) + # Each definition should be a dict + for _def_name, def_schema in schema["$defs"].items(): + assert isinstance(def_schema, dict) + + def test_mcp_output_schema_preserved(self, llama_stack_client, mcp_server_with_output_schemas): + """Test that MCP outputSchema is preserved.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::with_output" + uri = mcp_server_with_output_schemas["server_url"] + + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + response = llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + # Find get_weather tool + weather_tool = next((t for t in response if t.name == "get_weather"), None) + + if weather_tool: + # Check if output_schema field exists and is preserved + assert hasattr(weather_tool, "output_schema") + + # If MCP server provides output schema, it should be preserved + if weather_tool.output_schema is not None: + assert isinstance(weather_tool.output_schema, dict) + # Should have JSON Schema structure + if "properties" in weather_tool.output_schema: + assert "type" in weather_tool.output_schema + + +class TestMCPToolInvocation: + """Test invoking MCP tools with complex schemas.""" + + def test_invoke_mcp_tool_with_nested_data(self, llama_stack_client, mcp_server_with_complex_schemas): + """Test invoking MCP tool that expects nested object structure.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::complex_invoke_nested" + uri = mcp_server_with_complex_schemas["server_url"] + + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # List tools to populate the tool index + llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + # Invoke tool with complex nested data + result = llama_stack_client.tool_runtime.invoke_tool( + tool_name="process_order", + kwargs={ + "order_data": { + "items": [{"name": "Widget", "quantity": 2}, {"name": "Gadget", "quantity": 1}], + "shipping": {"address": {"street": "123 Main St", "city": "San Francisco", "zipcode": "94102"}}, + } + }, + extra_headers=auth_headers, + ) + + # Should succeed without schema validation errors + assert result.content is not None + assert result.error_message is None + + def test_invoke_with_flexible_schema(self, llama_stack_client, mcp_server_with_complex_schemas): + """Test invoking tool with anyOf schema (flexible input).""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + test_toolgroup_id = "mcp::complex_invoke_flexible" + uri = mcp_server_with_complex_schemas["server_url"] + + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # List tools to populate the tool index + llama_stack_client.tool_runtime.list_tools( + tool_group_id=test_toolgroup_id, + extra_headers=auth_headers, + ) + + # Test with email format + result_email = llama_stack_client.tool_runtime.invoke_tool( + tool_name="flexible_contact", + kwargs={"contact_info": "user@example.com"}, + extra_headers=auth_headers, + ) + + assert result_email.error_message is None + + # Test with phone format + result_phone = llama_stack_client.tool_runtime.invoke_tool( + tool_name="flexible_contact", + kwargs={"contact_info": "+15551234567"}, + extra_headers=auth_headers, + ) + + assert result_phone.error_message is None + + +class TestAgentWithMCPTools: + """Test agents using MCP tools with complex schemas.""" + + @pytest.mark.skip(reason="we need tool call recording for this test since session_id is injected") + def test_agent_with_complex_mcp_tool(self, llama_stack_client, text_model_id, mcp_server_with_complex_schemas): + """Test agent can use MCP tools with $ref/$defs schemas.""" + if not isinstance(llama_stack_client, LlamaStackAsLibraryClient): + pytest.skip("Library client required for local MCP server") + + from llama_stack_client import Agent + + test_toolgroup_id = "mcp::complex_agent" + uri = mcp_server_with_complex_schemas["server_url"] + + try: + llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) + except Exception: + pass + + llama_stack_client.toolgroups.register( + toolgroup_id=test_toolgroup_id, + provider_id="model-context-protocol", + mcp_endpoint=dict(uri=uri), + ) + + provider_data = {"mcp_headers": {uri: {"Authorization": f"Bearer {AUTH_TOKEN}"}}} + auth_headers = { + "X-LlamaStack-Provider-Data": json.dumps(provider_data), + } + + # Create agent with MCP tools + agent = Agent( + client=llama_stack_client, + model=text_model_id, + instructions="You are a helpful assistant that can process orders and book flights.", + tools=[test_toolgroup_id], + extra_headers=auth_headers, + ) + + session_id = agent.create_session("test-session-complex") + + # Ask agent to use a tool with complex schema + response = agent.create_turn( + session_id=session_id, + messages=[ + {"role": "user", "content": "Process an order with 2 widgets going to 123 Main St, San Francisco"} + ], + stream=False, + extra_headers=auth_headers, + ) + + steps = response.steps + + # Verify agent was able to call the tool + # (The LLM should have been able to understand the schema and formulate a valid call) + tool_execution_steps = [s for s in steps if s.step_type == "tool_execution"] + + # Agent might or might not call the tool depending on the model + # But if it does, there should be no errors + for step in tool_execution_steps: + if step.tool_responses: + for tool_response in step.tool_responses: + assert tool_response.content is not None diff --git a/tests/unit/distribution/routers/test_routing_tables.py b/tests/unit/distribution/routers/test_routing_tables.py index 456a5d041..54a9dd72e 100644 --- a/tests/unit/distribution/routers/test_routing_tables.py +++ b/tests/unit/distribution/routers/test_routing_tables.py @@ -16,7 +16,7 @@ from llama_stack.apis.datasets.datasets import Dataset, DatasetPurpose, URIDataS from llama_stack.apis.datatypes import Api from llama_stack.apis.models import Model, ModelType from llama_stack.apis.shields.shields import Shield -from llama_stack.apis.tools import ListToolDefsResponse, ToolDef, ToolGroup, ToolParameter +from llama_stack.apis.tools import ListToolDefsResponse, ToolDef, ToolGroup from llama_stack.apis.vector_dbs import VectorDB from llama_stack.core.datatypes import RegistryEntrySource from llama_stack.core.routing_tables.benchmarks import BenchmarksRoutingTable @@ -137,7 +137,10 @@ class ToolGroupsImpl(Impl): ToolDef( name="test-tool", description="Test tool", - parameters=[ToolParameter(name="test-param", description="Test param", parameter_type="string")], + input_schema={ + "type": "object", + "properties": {"test-param": {"type": "string", "description": "Test param"}}, + }, ) ] ) diff --git a/tests/unit/models/test_prompt_adapter.py b/tests/unit/models/test_prompt_adapter.py index 0362eb5dd..d31426135 100644 --- a/tests/unit/models/test_prompt_adapter.py +++ b/tests/unit/models/test_prompt_adapter.py @@ -18,7 +18,6 @@ from llama_stack.apis.inference import ( from llama_stack.models.llama.datatypes import ( BuiltinTool, ToolDefinition, - ToolParamDefinition, ToolPromptFormat, ) from llama_stack.providers.utils.inference.prompt_adapter import ( @@ -75,12 +74,15 @@ async def test_system_custom_only(): ToolDefinition( tool_name="custom1", description="custom1 tool", - parameters={ - "param1": ToolParamDefinition( - param_type="str", - description="param1 description", - required=True, - ), + input_schema={ + "type": "object", + "properties": { + "param1": { + "type": "str", + "description": "param1 description", + }, + }, + "required": ["param1"], }, ) ], @@ -107,12 +109,15 @@ async def test_system_custom_and_builtin(): ToolDefinition( tool_name="custom1", description="custom1 tool", - parameters={ - "param1": ToolParamDefinition( - param_type="str", - description="param1 description", - required=True, - ), + input_schema={ + "type": "object", + "properties": { + "param1": { + "type": "str", + "description": "param1 description", + }, + }, + "required": ["param1"], }, ), ], @@ -138,7 +143,7 @@ async def test_completion_message_encoding(): tool_calls=[ ToolCall( tool_name="custom1", - arguments={"param1": "value1"}, + arguments='{"param1": "value1"}', # arguments must be a JSON string call_id="123", ) ], @@ -148,12 +153,15 @@ async def test_completion_message_encoding(): ToolDefinition( tool_name="custom1", description="custom1 tool", - parameters={ - "param1": ToolParamDefinition( - param_type="str", - description="param1 description", - required=True, - ), + input_schema={ + "type": "object", + "properties": { + "param1": { + "type": "str", + "description": "param1 description", + }, + }, + "required": ["param1"], }, ), ], @@ -227,12 +235,15 @@ async def test_replace_system_message_behavior_custom_tools(): ToolDefinition( tool_name="custom1", description="custom1 tool", - parameters={ - "param1": ToolParamDefinition( - param_type="str", - description="param1 description", - required=True, - ), + input_schema={ + "type": "object", + "properties": { + "param1": { + "type": "str", + "description": "param1 description", + }, + }, + "required": ["param1"], }, ), ], @@ -264,12 +275,15 @@ async def test_replace_system_message_behavior_custom_tools_with_template(): ToolDefinition( tool_name="custom1", description="custom1 tool", - parameters={ - "param1": ToolParamDefinition( - param_type="str", - description="param1 description", - required=True, - ), + input_schema={ + "type": "object", + "properties": { + "param1": { + "type": "str", + "description": "param1 description", + }, + }, + "required": ["param1"], }, ), ], diff --git a/tests/unit/providers/agent/test_meta_reference_agent.py b/tests/unit/providers/agent/test_meta_reference_agent.py index 07e5aa79d..fdbb2b8e9 100644 --- a/tests/unit/providers/agent/test_meta_reference_agent.py +++ b/tests/unit/providers/agent/test_meta_reference_agent.py @@ -16,9 +16,8 @@ from llama_stack.apis.agents import ( ) from llama_stack.apis.common.responses import PaginatedResponse from llama_stack.apis.inference import Inference -from llama_stack.apis.resource import ResourceType from llama_stack.apis.safety import Safety -from llama_stack.apis.tools import ListToolsResponse, Tool, ToolGroups, ToolParameter, ToolRuntime +from llama_stack.apis.tools import ListToolDefsResponse, ToolDef, ToolGroups, ToolRuntime from llama_stack.apis.vector_io import VectorIO from llama_stack.providers.inline.agents.meta_reference.agent_instance import ChatAgent from llama_stack.providers.inline.agents.meta_reference.agents import MetaReferenceAgentsImpl @@ -232,32 +231,26 @@ async def test_delete_agent(agents_impl, sample_agent_config): async def test__initialize_tools(agents_impl, sample_agent_config): # Mock tool_groups_api.list_tools() - agents_impl.tool_groups_api.list_tools.return_value = ListToolsResponse( + agents_impl.tool_groups_api.list_tools.return_value = ListToolDefsResponse( data=[ - Tool( - identifier="story_maker", - provider_id="model-context-protocol", - type=ResourceType.tool, + ToolDef( + name="story_maker", toolgroup_id="mcp::my_mcp_server", description="Make a story", - parameters=[ - ToolParameter( - name="story_title", - parameter_type="string", - description="Title of the story", - required=True, - title="Story Title", - ), - ToolParameter( - name="input_words", - parameter_type="array", - description="Input words", - required=False, - items={"type": "string"}, - title="Input Words", - default=[], - ), - ], + input_schema={ + "type": "object", + "properties": { + "story_title": {"type": "string", "description": "Title of the story", "title": "Story Title"}, + "input_words": { + "type": "array", + "description": "Input words", + "items": {"type": "string"}, + "title": "Input Words", + "default": [], + }, + }, + "required": ["story_title"], + }, ) ] ) @@ -284,27 +277,27 @@ async def test__initialize_tools(agents_impl, sample_agent_config): assert second_tool.tool_name == "story_maker" assert second_tool.description == "Make a story" - parameters = second_tool.parameters - assert len(parameters) == 2 + # Verify the input schema + input_schema = second_tool.input_schema + assert input_schema is not None + assert input_schema["type"] == "object" + + properties = input_schema["properties"] + assert len(properties) == 2 # Verify a string property - story_title = parameters.get("story_title") - assert story_title is not None - assert story_title.param_type == "string" - assert story_title.description == "Title of the story" - assert story_title.required - assert story_title.items is None - assert story_title.title == "Story Title" - assert story_title.default is None + story_title = properties["story_title"] + assert story_title["type"] == "string" + assert story_title["description"] == "Title of the story" + assert story_title["title"] == "Story Title" # Verify an array property - input_words = parameters.get("input_words") - assert input_words is not None - assert input_words.param_type == "array" - assert input_words.description == "Input words" - assert not input_words.required - assert input_words.items is not None - assert len(input_words.items) == 1 - assert input_words.items.get("type") == "string" - assert input_words.title == "Input Words" - assert input_words.default == [] + input_words = properties["input_words"] + assert input_words["type"] == "array" + assert input_words["description"] == "Input words" + assert input_words["items"]["type"] == "string" + assert input_words["title"] == "Input Words" + assert input_words["default"] == [] + + # Verify required fields + assert input_schema["required"] == ["story_title"] diff --git a/tests/unit/providers/agents/meta_reference/test_openai_responses.py b/tests/unit/providers/agents/meta_reference/test_openai_responses.py index 5ddc1bda8..0b2e6ab82 100644 --- a/tests/unit/providers/agents/meta_reference/test_openai_responses.py +++ b/tests/unit/providers/agents/meta_reference/test_openai_responses.py @@ -39,7 +39,7 @@ from llama_stack.apis.inference import ( OpenAIResponseFormatJSONSchema, OpenAIUserMessageParam, ) -from llama_stack.apis.tools.tools import Tool, ToolGroups, ToolInvocationResult, ToolParameter, ToolRuntime +from llama_stack.apis.tools.tools import ToolDef, ToolGroups, ToolInvocationResult, ToolRuntime from llama_stack.core.access_control.access_control import default_policy from llama_stack.core.datatypes import ResponsesStoreConfig from llama_stack.providers.inline.agents.meta_reference.responses.openai_responses import ( @@ -186,14 +186,15 @@ async def test_create_openai_response_with_string_input_with_tools(openai_respon input_text = "What is the capital of Ireland?" model = "meta-llama/Llama-3.1-8B-Instruct" - openai_responses_impl.tool_groups_api.get_tool.return_value = Tool( - identifier="web_search", - provider_id="client", + openai_responses_impl.tool_groups_api.get_tool.return_value = ToolDef( + name="web_search", toolgroup_id="web_search", description="Search the web for information", - parameters=[ - ToolParameter(name="query", parameter_type="string", description="The query to search for", required=True) - ], + input_schema={ + "type": "object", + "properties": {"query": {"type": "string", "description": "The query to search for"}}, + "required": ["query"], + }, ) openai_responses_impl.tool_runtime_api.invoke_tool.return_value = ToolInvocationResult( diff --git a/tests/unit/providers/inference/test_remote_vllm.py b/tests/unit/providers/inference/test_remote_vllm.py index 4dc2e0c16..bb560d378 100644 --- a/tests/unit/providers/inference/test_remote_vllm.py +++ b/tests/unit/providers/inference/test_remote_vllm.py @@ -138,8 +138,7 @@ async def test_tool_call_response(vllm_inference_adapter): ToolCall( call_id="foo", tool_name="knowledge_search", - arguments={"query": "How many?"}, - arguments_json='{"query": "How many?"}', + arguments='{"query": "How many?"}', ) ], ), @@ -263,7 +262,7 @@ async def test_tool_call_delta_streaming_arguments_dict(): assert chunks[1].event.event_type.value == "progress" assert chunks[1].event.delta.type == "tool_call" assert chunks[1].event.delta.parse_status.value == "succeeded" - assert chunks[1].event.delta.tool_call.arguments_json == '{"number": 28, "power": 3}' + assert chunks[1].event.delta.tool_call.arguments == '{"number": 28, "power": 3}' assert chunks[2].event.event_type.value == "complete" @@ -339,11 +338,11 @@ async def test_multiple_tool_calls(): assert chunks[1].event.event_type.value == "progress" assert chunks[1].event.delta.type == "tool_call" assert chunks[1].event.delta.parse_status.value == "succeeded" - assert chunks[1].event.delta.tool_call.arguments_json == '{"number": 28, "power": 3}' + assert chunks[1].event.delta.tool_call.arguments == '{"number": 28, "power": 3}' assert chunks[2].event.event_type.value == "progress" assert chunks[2].event.delta.type == "tool_call" assert chunks[2].event.delta.parse_status.value == "succeeded" - assert chunks[2].event.delta.tool_call.arguments_json == '{"first_number": 4, "second_number": 7}' + assert chunks[2].event.delta.tool_call.arguments == '{"first_number": 4, "second_number": 7}' assert chunks[3].event.event_type.value == "complete" @@ -456,7 +455,7 @@ async def test_process_vllm_chat_completion_stream_response_tool_call_args_last_ assert chunks[-1].event.event_type == ChatCompletionResponseEventType.complete assert chunks[-2].event.delta.type == "tool_call" assert chunks[-2].event.delta.tool_call.tool_name == mock_tool_name - assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments + assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments_str async def test_process_vllm_chat_completion_stream_response_no_finish_reason(): @@ -468,7 +467,7 @@ async def test_process_vllm_chat_completion_stream_response_no_finish_reason(): mock_tool_name = "mock_tool" mock_tool_arguments = {"arg1": 0, "arg2": 100} - mock_tool_arguments_str = '"{\\"arg1\\": 0, \\"arg2\\": 100}"' + mock_tool_arguments_str = json.dumps(mock_tool_arguments) async def mock_stream(): mock_chunks = [ @@ -508,7 +507,7 @@ async def test_process_vllm_chat_completion_stream_response_no_finish_reason(): assert chunks[-1].event.event_type == ChatCompletionResponseEventType.complete assert chunks[-2].event.delta.type == "tool_call" assert chunks[-2].event.delta.tool_call.tool_name == mock_tool_name - assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments + assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments_str async def test_process_vllm_chat_completion_stream_response_tool_without_args(): @@ -556,7 +555,7 @@ async def test_process_vllm_chat_completion_stream_response_tool_without_args(): assert chunks[-1].event.event_type == ChatCompletionResponseEventType.complete assert chunks[-2].event.delta.type == "tool_call" assert chunks[-2].event.delta.tool_call.tool_name == mock_tool_name - assert chunks[-2].event.delta.tool_call.arguments == {} + assert chunks[-2].event.delta.tool_call.arguments == "{}" async def test_health_status_success(vllm_inference_adapter): diff --git a/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py b/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py index 6fda2b508..4b706717d 100644 --- a/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py +++ b/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py @@ -4,7 +4,7 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. -from llama_stack.apis.tools import ToolDef, ToolParameter +from llama_stack.apis.tools import ToolDef from llama_stack.providers.inline.agents.meta_reference.responses.streaming import ( convert_tooldef_to_chat_tool, ) @@ -20,15 +20,11 @@ def test_convert_tooldef_to_chat_tool_preserves_items_field(): tool_def = ToolDef( name="test_tool", description="A test tool with array parameter", - parameters=[ - ToolParameter( - name="tags", - parameter_type="array", - description="List of tags", - required=True, - items={"type": "string"}, - ) - ], + input_schema={ + "type": "object", + "properties": {"tags": {"type": "array", "description": "List of tags", "items": {"type": "string"}}}, + "required": ["tags"], + }, ) result = convert_tooldef_to_chat_tool(tool_def) diff --git a/tests/unit/providers/utils/inference/test_openai_compat.py b/tests/unit/providers/utils/inference/test_openai_compat.py index ddc70e102..c200c4395 100644 --- a/tests/unit/providers/utils/inference/test_openai_compat.py +++ b/tests/unit/providers/utils/inference/test_openai_compat.py @@ -41,9 +41,7 @@ async def test_convert_message_to_openai_dict(): async def test_convert_message_to_openai_dict_with_tool_call(): message = CompletionMessage( content="", - tool_calls=[ - ToolCall(call_id="123", tool_name="test_tool", arguments_json='{"foo": "bar"}', arguments={"foo": "bar"}) - ], + tool_calls=[ToolCall(call_id="123", tool_name="test_tool", arguments='{"foo": "bar"}')], stop_reason=StopReason.end_of_turn, ) @@ -65,8 +63,7 @@ async def test_convert_message_to_openai_dict_with_builtin_tool_call(): ToolCall( call_id="123", tool_name=BuiltinTool.brave_search, - arguments_json='{"foo": "bar"}', - arguments={"foo": "bar"}, + arguments='{"foo": "bar"}', ) ], stop_reason=StopReason.end_of_turn, @@ -202,8 +199,7 @@ async def test_convert_message_to_openai_dict_new_completion_message_with_tool_c ToolCall( call_id="call_123", tool_name="get_weather", - arguments={"city": "Sligo"}, - arguments_json='{"city": "Sligo"}', + arguments='{"city": "Sligo"}', ) ], stop_reason=StopReason.end_of_turn, diff --git a/tests/unit/providers/utils/test_openai_compat_conversion.py b/tests/unit/providers/utils/test_openai_compat_conversion.py new file mode 100644 index 000000000..2681068f1 --- /dev/null +++ b/tests/unit/providers/utils/test_openai_compat_conversion.py @@ -0,0 +1,381 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +Unit tests for OpenAI compatibility tool conversion. +Tests convert_tooldef_to_openai_tool with new JSON Schema approach. +""" + +from llama_stack.models.llama.datatypes import BuiltinTool, ToolDefinition +from llama_stack.providers.utils.inference.openai_compat import convert_tooldef_to_openai_tool + + +class TestSimpleSchemaConversion: + """Test basic schema conversions to OpenAI format.""" + + def test_simple_tool_conversion(self): + """Test conversion of simple tool with basic input schema.""" + tool = ToolDefinition( + tool_name="get_weather", + description="Get weather information", + input_schema={ + "type": "object", + "properties": {"location": {"type": "string", "description": "City name"}}, + "required": ["location"], + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + # Check OpenAI structure + assert result["type"] == "function" + assert "function" in result + + function = result["function"] + assert function["name"] == "get_weather" + assert function["description"] == "Get weather information" + + # Check parameters are passed through + assert "parameters" in function + assert function["parameters"] == tool.input_schema + assert function["parameters"]["type"] == "object" + assert "location" in function["parameters"]["properties"] + + def test_tool_without_description(self): + """Test tool conversion without description.""" + tool = ToolDefinition(tool_name="test_tool", input_schema={"type": "object", "properties": {}}) + + result = convert_tooldef_to_openai_tool(tool) + + assert result["function"]["name"] == "test_tool" + assert "description" not in result["function"] + assert "parameters" in result["function"] + + def test_builtin_tool_conversion(self): + """Test conversion of BuiltinTool enum.""" + tool = ToolDefinition( + tool_name=BuiltinTool.code_interpreter, + description="Run Python code", + input_schema={"type": "object", "properties": {"code": {"type": "string"}}}, + ) + + result = convert_tooldef_to_openai_tool(tool) + + # BuiltinTool should be converted to its value + assert result["function"]["name"] == "code_interpreter" + + +class TestComplexSchemaConversion: + """Test conversion of complex JSON Schema features.""" + + def test_schema_with_refs_and_defs(self): + """Test that $ref and $defs are passed through to OpenAI.""" + tool = ToolDefinition( + tool_name="book_flight", + description="Book a flight", + input_schema={ + "type": "object", + "properties": { + "flight": {"$ref": "#/$defs/FlightInfo"}, + "passengers": {"type": "array", "items": {"$ref": "#/$defs/Passenger"}}, + "payment": {"$ref": "#/$defs/Payment"}, + }, + "required": ["flight", "passengers", "payment"], + "$defs": { + "FlightInfo": { + "type": "object", + "properties": { + "from": {"type": "string", "description": "Departure airport"}, + "to": {"type": "string", "description": "Arrival airport"}, + "date": {"type": "string", "format": "date"}, + }, + "required": ["from", "to", "date"], + }, + "Passenger": { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer", "minimum": 0}}, + "required": ["name", "age"], + }, + "Payment": { + "type": "object", + "properties": { + "method": {"type": "string", "enum": ["credit_card", "debit_card"]}, + "amount": {"type": "number", "minimum": 0}, + }, + }, + }, + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + params = result["function"]["parameters"] + + # Verify $defs are preserved + assert "$defs" in params + assert "FlightInfo" in params["$defs"] + assert "Passenger" in params["$defs"] + assert "Payment" in params["$defs"] + + # Verify $ref are preserved + assert params["properties"]["flight"]["$ref"] == "#/$defs/FlightInfo" + assert params["properties"]["passengers"]["items"]["$ref"] == "#/$defs/Passenger" + assert params["properties"]["payment"]["$ref"] == "#/$defs/Payment" + + # Verify nested schema details are preserved + assert params["$defs"]["FlightInfo"]["properties"]["date"]["format"] == "date" + assert params["$defs"]["Passenger"]["properties"]["age"]["minimum"] == 0 + assert params["$defs"]["Payment"]["properties"]["method"]["enum"] == ["credit_card", "debit_card"] + + def test_anyof_schema_conversion(self): + """Test conversion of anyOf schemas.""" + tool = ToolDefinition( + tool_name="flexible_input", + input_schema={ + "type": "object", + "properties": { + "contact": { + "anyOf": [ + {"type": "string", "format": "email"}, + {"type": "string", "pattern": "^\\+?[0-9]{10,15}$"}, + ], + "description": "Email or phone number", + } + }, + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + contact_schema = result["function"]["parameters"]["properties"]["contact"] + assert "anyOf" in contact_schema + assert len(contact_schema["anyOf"]) == 2 + assert contact_schema["anyOf"][0]["format"] == "email" + assert "pattern" in contact_schema["anyOf"][1] + + def test_nested_objects_conversion(self): + """Test conversion of deeply nested objects.""" + tool = ToolDefinition( + tool_name="nested_data", + input_schema={ + "type": "object", + "properties": { + "user": { + "type": "object", + "properties": { + "profile": { + "type": "object", + "properties": { + "name": {"type": "string"}, + "settings": { + "type": "object", + "properties": {"theme": {"type": "string", "enum": ["light", "dark"]}}, + }, + }, + } + }, + } + }, + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + # Navigate deep structure + user_schema = result["function"]["parameters"]["properties"]["user"] + profile_schema = user_schema["properties"]["profile"] + settings_schema = profile_schema["properties"]["settings"] + theme_schema = settings_schema["properties"]["theme"] + + assert theme_schema["enum"] == ["light", "dark"] + + def test_array_schemas_with_constraints(self): + """Test conversion of array schemas with constraints.""" + tool = ToolDefinition( + tool_name="list_processor", + input_schema={ + "type": "object", + "properties": { + "items": { + "type": "array", + "items": { + "type": "object", + "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}, + "required": ["id"], + }, + "minItems": 1, + "maxItems": 100, + "uniqueItems": True, + } + }, + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + items_schema = result["function"]["parameters"]["properties"]["items"] + assert items_schema["type"] == "array" + assert items_schema["minItems"] == 1 + assert items_schema["maxItems"] == 100 + assert items_schema["uniqueItems"] is True + assert items_schema["items"]["type"] == "object" + + +class TestOutputSchemaHandling: + """Test that output_schema is correctly handled (or dropped) for OpenAI.""" + + def test_output_schema_is_dropped(self): + """Test that output_schema is NOT included in OpenAI format (API limitation).""" + tool = ToolDefinition( + tool_name="calculator", + description="Perform calculation", + input_schema={"type": "object", "properties": {"x": {"type": "number"}, "y": {"type": "number"}}}, + output_schema={"type": "object", "properties": {"result": {"type": "number"}}, "required": ["result"]}, + ) + + result = convert_tooldef_to_openai_tool(tool) + + # OpenAI doesn't support output schema + assert "outputSchema" not in result["function"] + assert "responseSchema" not in result["function"] + assert "output_schema" not in result["function"] + + # But input schema should be present + assert "parameters" in result["function"] + assert result["function"]["parameters"] == tool.input_schema + + def test_only_output_schema_no_input(self): + """Test tool with only output_schema (unusual but valid).""" + tool = ToolDefinition( + tool_name="no_input_tool", + description="Tool with no inputs", + output_schema={"type": "object", "properties": {"timestamp": {"type": "string"}}}, + ) + + result = convert_tooldef_to_openai_tool(tool) + + # No parameters should be set if input_schema is None + # (or we might set an empty object schema - implementation detail) + assert "outputSchema" not in result["function"] + + +class TestEdgeCases: + """Test edge cases and error conditions.""" + + def test_tool_with_no_schemas(self): + """Test tool with neither input nor output schema.""" + tool = ToolDefinition(tool_name="schemaless_tool", description="Tool without schemas") + + result = convert_tooldef_to_openai_tool(tool) + + assert result["function"]["name"] == "schemaless_tool" + assert result["function"]["description"] == "Tool without schemas" + # Implementation detail: might have no parameters or empty object + + def test_empty_input_schema(self): + """Test tool with empty object schema.""" + tool = ToolDefinition(tool_name="no_params", input_schema={"type": "object", "properties": {}}) + + result = convert_tooldef_to_openai_tool(tool) + + assert result["function"]["parameters"]["type"] == "object" + assert result["function"]["parameters"]["properties"] == {} + + def test_schema_with_additional_properties(self): + """Test that additionalProperties is preserved.""" + tool = ToolDefinition( + tool_name="flexible_tool", + input_schema={ + "type": "object", + "properties": {"known_field": {"type": "string"}}, + "additionalProperties": True, + }, + ) + + result = convert_tooldef_to_openai_tool(tool) + + assert result["function"]["parameters"]["additionalProperties"] is True + + def test_schema_with_pattern_properties(self): + """Test that patternProperties is preserved.""" + tool = ToolDefinition( + tool_name="pattern_tool", + input_schema={"type": "object", "patternProperties": {"^[a-z]+$": {"type": "string"}}}, + ) + + result = convert_tooldef_to_openai_tool(tool) + + assert "patternProperties" in result["function"]["parameters"] + + def test_schema_identity(self): + """Test that converted schema is identical to input (no lossy conversion).""" + original_schema = { + "type": "object", + "properties": {"complex": {"$ref": "#/$defs/Complex"}}, + "$defs": { + "Complex": { + "type": "object", + "properties": {"nested": {"anyOf": [{"type": "string"}, {"type": "number"}]}}, + } + }, + "required": ["complex"], + "additionalProperties": False, + } + + tool = ToolDefinition(tool_name="test", input_schema=original_schema) + + result = convert_tooldef_to_openai_tool(tool) + + # Converted parameters should be EXACTLY the same as input + assert result["function"]["parameters"] == original_schema + + +class TestConversionConsistency: + """Test consistency across multiple conversions.""" + + def test_multiple_tools_with_shared_defs(self): + """Test converting multiple tools that could share definitions.""" + tool1 = ToolDefinition( + tool_name="tool1", + input_schema={ + "type": "object", + "properties": {"data": {"$ref": "#/$defs/Data"}}, + "$defs": {"Data": {"type": "object", "properties": {"x": {"type": "number"}}}}, + }, + ) + + tool2 = ToolDefinition( + tool_name="tool2", + input_schema={ + "type": "object", + "properties": {"info": {"$ref": "#/$defs/Data"}}, + "$defs": {"Data": {"type": "object", "properties": {"y": {"type": "string"}}}}, + }, + ) + + result1 = convert_tooldef_to_openai_tool(tool1) + result2 = convert_tooldef_to_openai_tool(tool2) + + # Each tool maintains its own $defs independently + assert result1["function"]["parameters"]["$defs"]["Data"]["properties"]["x"]["type"] == "number" + assert result2["function"]["parameters"]["$defs"]["Data"]["properties"]["y"]["type"] == "string" + + def test_conversion_is_pure(self): + """Test that conversion doesn't modify the original tool.""" + original_schema = { + "type": "object", + "properties": {"x": {"type": "string"}}, + "$defs": {"T": {"type": "number"}}, + } + + tool = ToolDefinition(tool_name="test", input_schema=original_schema.copy()) + + # Convert + convert_tooldef_to_openai_tool(tool) + + # Original tool should be unchanged + assert tool.input_schema == original_schema + assert "$defs" in tool.input_schema diff --git a/tests/unit/tools/test_tools_json_schema.py b/tests/unit/tools/test_tools_json_schema.py new file mode 100644 index 000000000..8fe3103bc --- /dev/null +++ b/tests/unit/tools/test_tools_json_schema.py @@ -0,0 +1,297 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +Unit tests for JSON Schema-based tool definitions. +Tests the new input_schema and output_schema fields. +""" + +from pydantic import ValidationError + +from llama_stack.apis.tools import ToolDef +from llama_stack.models.llama.datatypes import BuiltinTool, ToolDefinition + + +class TestToolDefValidation: + """Test ToolDef validation with JSON Schema.""" + + def test_simple_input_schema(self): + """Test ToolDef with simple input schema.""" + tool = ToolDef( + name="get_weather", + description="Get weather information", + input_schema={ + "type": "object", + "properties": {"location": {"type": "string", "description": "City name"}}, + "required": ["location"], + }, + ) + + assert tool.name == "get_weather" + assert tool.input_schema["type"] == "object" + assert "location" in tool.input_schema["properties"] + assert tool.output_schema is None + + def test_input_and_output_schema(self): + """Test ToolDef with both input and output schemas.""" + tool = ToolDef( + name="calculate", + description="Perform calculation", + input_schema={ + "type": "object", + "properties": {"x": {"type": "number"}, "y": {"type": "number"}}, + "required": ["x", "y"], + }, + output_schema={"type": "object", "properties": {"result": {"type": "number"}}, "required": ["result"]}, + ) + + assert tool.input_schema is not None + assert tool.output_schema is not None + assert "result" in tool.output_schema["properties"] + + def test_schema_with_refs_and_defs(self): + """Test that $ref and $defs are preserved in schemas.""" + tool = ToolDef( + name="book_flight", + description="Book a flight", + input_schema={ + "type": "object", + "properties": { + "flight": {"$ref": "#/$defs/FlightInfo"}, + "passengers": {"type": "array", "items": {"$ref": "#/$defs/Passenger"}}, + }, + "$defs": { + "FlightInfo": { + "type": "object", + "properties": {"from": {"type": "string"}, "to": {"type": "string"}}, + }, + "Passenger": { + "type": "object", + "properties": {"name": {"type": "string"}, "age": {"type": "integer"}}, + }, + }, + }, + ) + + # Verify $defs are preserved + assert "$defs" in tool.input_schema + assert "FlightInfo" in tool.input_schema["$defs"] + assert "Passenger" in tool.input_schema["$defs"] + + # Verify $ref are preserved + assert tool.input_schema["properties"]["flight"]["$ref"] == "#/$defs/FlightInfo" + assert tool.input_schema["properties"]["passengers"]["items"]["$ref"] == "#/$defs/Passenger" + + def test_output_schema_with_refs(self): + """Test that output_schema also supports $ref and $defs.""" + tool = ToolDef( + name="search", + description="Search for items", + input_schema={"type": "object", "properties": {"query": {"type": "string"}}}, + output_schema={ + "type": "object", + "properties": {"results": {"type": "array", "items": {"$ref": "#/$defs/SearchResult"}}}, + "$defs": { + "SearchResult": { + "type": "object", + "properties": {"title": {"type": "string"}, "score": {"type": "number"}}, + } + }, + }, + ) + + assert "$defs" in tool.output_schema + assert "SearchResult" in tool.output_schema["$defs"] + + def test_complex_json_schema_features(self): + """Test various JSON Schema features are preserved.""" + tool = ToolDef( + name="complex_tool", + description="Tool with complex schema", + input_schema={ + "type": "object", + "properties": { + # anyOf + "contact": { + "anyOf": [ + {"type": "string", "format": "email"}, + {"type": "string", "pattern": "^\\+?[0-9]{10,15}$"}, + ] + }, + # enum + "status": {"type": "string", "enum": ["pending", "approved", "rejected"]}, + # nested objects + "address": { + "type": "object", + "properties": { + "street": {"type": "string"}, + "city": {"type": "string"}, + "zipcode": {"type": "string", "pattern": "^[0-9]{5}$"}, + }, + "required": ["street", "city"], + }, + # array with constraints + "tags": { + "type": "array", + "items": {"type": "string"}, + "minItems": 1, + "maxItems": 10, + "uniqueItems": True, + }, + }, + }, + ) + + # Verify anyOf + assert "anyOf" in tool.input_schema["properties"]["contact"] + + # Verify enum + assert tool.input_schema["properties"]["status"]["enum"] == ["pending", "approved", "rejected"] + + # Verify nested object + assert tool.input_schema["properties"]["address"]["type"] == "object" + assert "zipcode" in tool.input_schema["properties"]["address"]["properties"] + + # Verify array constraints + tags_schema = tool.input_schema["properties"]["tags"] + assert tags_schema["minItems"] == 1 + assert tags_schema["maxItems"] == 10 + assert tags_schema["uniqueItems"] is True + + def test_invalid_json_schema_raises_error(self): + """Test that invalid JSON Schema raises validation error.""" + # TODO: This test will pass once we add schema validation + # For now, Pydantic accepts any dict, so this is a placeholder + + # This should eventually raise an error due to invalid schema + try: + ToolDef( + name="bad_tool", + input_schema={ + "type": "invalid_type", # Not a valid JSON Schema type + "properties": "not_an_object", # Should be an object + }, + ) + # For now this passes, but shouldn't after we add validation + except ValidationError: + pass # Expected once validation is added + + +class TestToolDefinitionValidation: + """Test ToolDefinition (internal) validation with JSON Schema.""" + + def test_simple_tool_definition(self): + """Test ToolDefinition with simple schema.""" + tool = ToolDefinition( + tool_name="get_time", + description="Get current time", + input_schema={"type": "object", "properties": {"timezone": {"type": "string"}}}, + ) + + assert tool.tool_name == "get_time" + assert tool.input_schema is not None + + def test_builtin_tool_with_schema(self): + """Test ToolDefinition with BuiltinTool enum.""" + tool = ToolDefinition( + tool_name=BuiltinTool.code_interpreter, + description="Run Python code", + input_schema={"type": "object", "properties": {"code": {"type": "string"}}, "required": ["code"]}, + output_schema={"type": "object", "properties": {"output": {"type": "string"}, "error": {"type": "string"}}}, + ) + + assert isinstance(tool.tool_name, BuiltinTool) + assert tool.input_schema is not None + assert tool.output_schema is not None + + def test_tool_definition_with_refs(self): + """Test ToolDefinition preserves $ref/$defs.""" + tool = ToolDefinition( + tool_name="process_data", + input_schema={ + "type": "object", + "properties": {"data": {"$ref": "#/$defs/DataObject"}}, + "$defs": { + "DataObject": { + "type": "object", + "properties": { + "id": {"type": "integer"}, + "values": {"type": "array", "items": {"type": "number"}}, + }, + } + }, + }, + ) + + assert "$defs" in tool.input_schema + assert tool.input_schema["properties"]["data"]["$ref"] == "#/$defs/DataObject" + + +class TestSchemaEquivalence: + """Test that schemas remain unchanged through serialization.""" + + def test_schema_roundtrip(self): + """Test that schemas survive model_dump/model_validate roundtrip.""" + original = ToolDef( + name="test", + input_schema={ + "type": "object", + "properties": {"x": {"$ref": "#/$defs/X"}}, + "$defs": {"X": {"type": "string"}}, + }, + ) + + # Serialize and deserialize + dumped = original.model_dump() + restored = ToolDef(**dumped) + + # Schemas should be identical + assert restored.input_schema == original.input_schema + assert "$defs" in restored.input_schema + assert restored.input_schema["properties"]["x"]["$ref"] == "#/$defs/X" + + def test_json_serialization(self): + """Test JSON serialization preserves schema.""" + import json + + tool = ToolDef( + name="test", + input_schema={ + "type": "object", + "properties": {"a": {"type": "string"}}, + "$defs": {"T": {"type": "number"}}, + }, + output_schema={"type": "object", "properties": {"b": {"$ref": "#/$defs/T"}}}, + ) + + # Serialize to JSON and back + json_str = tool.model_dump_json() + parsed = json.loads(json_str) + restored = ToolDef(**parsed) + + assert restored.input_schema == tool.input_schema + assert restored.output_schema == tool.output_schema + assert "$defs" in restored.input_schema + + +class TestBackwardsCompatibility: + """Test handling of legacy code patterns.""" + + def test_none_schemas(self): + """Test tools with no schemas (legacy case).""" + tool = ToolDef(name="legacy_tool", description="Tool without schemas", input_schema=None, output_schema=None) + + assert tool.input_schema is None + assert tool.output_schema is None + + def test_metadata_preserved(self): + """Test that metadata field still works.""" + tool = ToolDef( + name="test", input_schema={"type": "object"}, metadata={"endpoint": "http://example.com", "version": "1.0"} + ) + + assert tool.metadata["endpoint"] == "http://example.com" + assert tool.metadata["version"] == "1.0"