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fix(tools): correctly render tools response in templates (#1932)
* fix(tools): allow to correctly display both Functions and Tools * models(hermes-2-pro): correctly display function results
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@ -3,30 +3,27 @@ mmap: true
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parameters:
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model: huggingface://NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/Hermes-2-Pro-Mistral-7B.Q6_K.gguf
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roles:
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assistant_function_call: assistant
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function: tool
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template:
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chat_message: |
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "function"}}{{.Role}}{{else if eq .RoleName "user"}}user{{end}}
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{{ if eq .RoleName "assistant_function_call" }}<tool_call>{{end}}
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{{ if eq .RoleName "function" }}<tool_result>{{end}}
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
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{{ if .FunctionCall }}<tool_call>{{end}}
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{{ if eq .RoleName "tool" }}<tool_result>{{end}}
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{{if .Content}}{{.Content}}{{end}}
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{{if .FunctionCall}}{{toJson .FunctionCall}}{{end}}
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{{ if eq .RoleName "assistant_function_call" }}</tool_call>{{end}}
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{{ if eq .RoleName "function" }}</tool_result>{{end}}
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{{ if .FunctionCall }}</tool_call>{{end}}
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{{ if eq .RoleName "tool" }}</tool_result>{{end}}
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<|im_end|>
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# https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
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function: |
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<|im_start|>system
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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<tools>
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{{range .Functions}}
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{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
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{{end}}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
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<tool_call>
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{'arguments': <args-dict>, 'name': <function-name>}
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@ -4,30 +4,27 @@ f16: false
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parameters:
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model: huggingface://NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/Hermes-2-Pro-Mistral-7B.Q6_K.gguf
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roles:
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assistant_function_call: assistant
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function: tool
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template:
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chat_message: |
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "function"}}{{.Role}}{{else if eq .RoleName "user"}}user{{end}}
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{{ if eq .RoleName "assistant_function_call" }}<tool_call>{{end}}
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{{ if eq .RoleName "function" }}<tool_result>{{end}}
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
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{{ if .FunctionCall }}<tool_call>{{end}}
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{{ if eq .RoleName "tool" }}<tool_result>{{end}}
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{{if .Content}}{{.Content}}{{end}}
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{{if .FunctionCall}}{{toJson .FunctionCall}}{{end}}
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{{ if eq .RoleName "assistant_function_call" }}</tool_call>{{end}}
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{{ if eq .RoleName "function" }}</tool_result>{{end}}
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{{ if .FunctionCall }}</tool_call>{{end}}
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{{ if eq .RoleName "tool" }}</tool_result>{{end}}
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<|im_end|>
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# https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
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function: |
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<|im_start|>system
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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<tools>
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{{range .Functions}}
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{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
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{{end}}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
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<tool_call>
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{'arguments': <args-dict>, 'name': <function-name>}
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@ -236,7 +236,7 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
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// if function call, we might want to customize the role so we can display better that the "assistant called a json action"
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// if an "assistant_function_call" role is defined, we use it, otherwise we use the role that is passed by in the request
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if i.FunctionCall != nil && i.Role == "assistant" {
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if (i.FunctionCall != nil || i.ToolCalls != nil) && i.Role == "assistant" {
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roleFn := "assistant_function_call"
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r := config.Roles[roleFn]
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if r != "" {
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@ -246,6 +246,11 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
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r := config.Roles[role]
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contentExists := i.Content != nil && i.StringContent != ""
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fcall := i.FunctionCall
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if len(i.ToolCalls) > 0 {
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fcall = i.ToolCalls
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}
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// First attempt to populate content via a chat message specific template
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if config.TemplateConfig.ChatMessage != "" {
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chatMessageData := model.ChatMessageTemplateData{
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@ -253,7 +258,7 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
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Role: r,
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RoleName: role,
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Content: i.StringContent,
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FunctionCall: i.FunctionCall,
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FunctionCall: fcall,
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FunctionName: i.Name,
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LastMessage: messageIndex == (len(input.Messages) - 1),
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Function: config.Grammar != "" && (messageIndex == (len(input.Messages) - 1)),
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@ -271,35 +276,49 @@ func ChatEndpoint(cl *config.BackendConfigLoader, ml *model.ModelLoader, startup
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content = templatedChatMessage
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}
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}
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marshalAnyRole := func(f any) {
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j, err := json.Marshal(f)
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if err == nil {
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if contentExists {
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content += "\n" + fmt.Sprint(r, " ", string(j))
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} else {
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content = fmt.Sprint(r, " ", string(j))
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}
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}
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}
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marshalAny := func(f any) {
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j, err := json.Marshal(f)
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if err == nil {
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if contentExists {
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content += "\n" + string(j)
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} else {
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content = string(j)
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}
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}
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}
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// If this model doesn't have such a template, or if that template fails to return a value, template at the message level.
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if content == "" {
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if r != "" {
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if contentExists {
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content = fmt.Sprint(r, i.StringContent)
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}
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if i.FunctionCall != nil {
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j, err := json.Marshal(i.FunctionCall)
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if err == nil {
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if contentExists {
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content += "\n" + fmt.Sprint(r, " ", string(j))
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} else {
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content = fmt.Sprint(r, " ", string(j))
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}
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}
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marshalAnyRole(i.FunctionCall)
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}
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if i.ToolCalls != nil {
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marshalAnyRole(i.ToolCalls)
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}
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} else {
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if contentExists {
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content = fmt.Sprint(i.StringContent)
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}
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if i.FunctionCall != nil {
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j, err := json.Marshal(i.FunctionCall)
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if err == nil {
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if contentExists {
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content += "\n" + string(j)
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} else {
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content = string(j)
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}
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}
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marshalAny(i.FunctionCall)
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}
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if i.ToolCalls != nil {
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marshalAny(i.ToolCalls)
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}
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}
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// Special Handling: System. We care if it was printed at all, not the r branch, so check seperately
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@ -3,30 +3,27 @@ mmap: true
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parameters:
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model: huggingface://NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/Hermes-2-Pro-Mistral-7B.Q6_K.gguf
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roles:
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assistant_function_call: assistant
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function: tool
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template:
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chat_message: |
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "function"}}{{.Role}}{{else if eq .RoleName "user"}}user{{end}}
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{{ if eq .RoleName "assistant_function_call" }}<tool_call>{{end}}
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{{ if eq .RoleName "function" }}<tool_result>{{end}}
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<|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
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{{ if .FunctionCall }}<tool_call>{{end}}
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{{ if eq .RoleName "tool" }}<tool_result>{{end}}
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{{if .Content}}{{.Content}}{{end}}
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{{if .FunctionCall}}{{toJson .FunctionCall}}{{end}}
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{{ if eq .RoleName "assistant_function_call" }}</tool_call>{{end}}
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{{ if eq .RoleName "function" }}</tool_result>{{end}}
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{{ if .FunctionCall }}</tool_call>{{end}}
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{{ if eq .RoleName "tool" }}</tool_result>{{end}}
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<|im_end|>
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# https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
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function: |
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<|im_start|>system
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
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<tools>
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{{range .Functions}}
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{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
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{{end}}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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</tools>
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Use the following pydantic model json schema for each tool call you will make:
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{'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
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For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
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<tool_call>
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{'arguments': <args-dict>, 'name': <function-name>}
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