C# bindings (#650)

* First workin version of the C# bindings

* Update README.md

Signed-off-by: mvenditto <venditto.matteo@gmail.com>

* Added more docs + fixed prompt callback signature

* build scripts revision

* Added .editorconfig + fixed style issues

---------

Signed-off-by: mvenditto <venditto.matteo@gmail.com>
This commit is contained in:
mvenditto 2023-05-22 21:56:49 +02:00 committed by GitHub
parent 394d9b4076
commit 6ab38d8aea
33 changed files with 1949 additions and 0 deletions

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# EditorConfig is awesome: https://EditorConfig.org
# top-most EditorConfig file
root = true
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[*]
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# (Please don't specify an indent_size here; that has too many unintended consequences.)
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[*.{cs,csx,vb,vbx}]
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insert_final_newline = true
charset = utf-8-bom
# XML project files
[*.{csproj,vbproj,vcxproj,vcxproj.filters,proj,projitems,shproj}]
indent_size = 4
# XML config files
[*.{props,targets,ruleset,config,nuspec,resx,vsixmanifest,vsct}]
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# JSON files
[*.json]
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# Powershell files
[*.ps1]
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# Shell script files
[*.sh]
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indent_size = 2
insert_final_newline = true
# Dotnet code style settings:
[*.{cs,vb}]
# IDE0055: Fix formatting
dotnet_diagnostic.IDE0055.severity = error
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dotnet_separate_import_directive_groups = false
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dotnet_style_qualification_for_property = false:suggestion
dotnet_style_qualification_for_method = false:suggestion
dotnet_style_qualification_for_event = false:suggestion
# Use language keywords instead of framework type names for type references
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dotnet_style_predefined_type_for_member_access = true:warning
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dotnet_style_coalesce_expression = true:suggestion
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# Whitespace options
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# Private fields are camelCase with '_' prefix
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dotnet_naming_rule.private_members_with_underscore.style = prefix_underscore
dotnet_naming_rule.private_members_with_underscore.severity = error
dotnet_naming_symbols.private_fields.applicable_kinds = field
dotnet_naming_symbols.private_fields.applicable_accessibilities = private
dotnet_naming_style.prefix_underscore.capitalization = camel_case
dotnet_naming_style.prefix_underscore.required_prefix = _
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dotnet_naming_symbols.non_private_static_fields.applicable_accessibilities = public, protected, internal, protected_internal, private_protected
dotnet_naming_symbols.non_private_static_fields.required_modifiers = static
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dotnet_naming_style.non_private_readonly_field_style.capitalization = pascal_case
# Constants are PascalCase
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dotnet_naming_rule.locals_should_be_camel_case.style = camel_case_style
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dotnet_naming_rule.local_functions_should_be_pascal_case.symbols = local_functions
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dotnet_naming_symbols.local_functions.applicable_kinds = local_function
dotnet_naming_style.local_function_style.capitalization = pascal_case
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#file_header_template = Licensed to the .NET Foundation under one or more agreements.\nThe .NET Foundation licenses this file to you under the MIT license.\nSee the LICENSE file in the project root for more information.
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# IDE0043: Format string contains invalid placeholder
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# https://github.com/dotnet/roslyn/pull/54259 has been published.
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dotnet_diagnostic.RCS0003.severity=warning
dotnet_diagnostic.RCS1036.severity=error
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# There is a risk of accidentally breaking an internal API that partners rely on though IVT.
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using Gpt4All;
var modelFactory = new Gpt4AllModelFactory();
var modelPath = args[0];
using var model = modelFactory.LoadModel(modelPath);
var input = args.Length > 1 ? args[1] : "Name 3 colors.";
var result = await model.GetStreamingPredictionAsync(
input,
PredictRequestOptions.Defaults);
await foreach (var token in result.GetPredictionStreamingAsync())
{
Console.Write(token);
}
Console.WriteLine();
Console.WriteLine("DONE.");

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@ -0,0 +1,41 @@

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio Version 17
VisualStudioVersion = 17.5.33516.290
MinimumVisualStudioVersion = 10.0.40219.1
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Gpt4All.Samples", "Gpt4All.Samples\Gpt4All.Samples.csproj", "{59864AE8-E45D-42F7-A7C0-1308EF185F39}"
EndProject
Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{DA396C11-CEAD-4368-8234-FB12255A30D2}"
ProjectSection(SolutionItems) = preProject
.gitignore = .gitignore
build_linux.sh = build_linux.sh
build_win-mingw.ps1 = build_win-mingw.ps1
build_win-msvc.ps1 = build_win-msvc.ps1
docs\gpt4all_csharp.md = docs\gpt4all_csharp.md
README.md = README.md
EndProjectSection
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Gpt4All", "Gpt4All\Gpt4All.csproj", "{6015C62B-2008-426B-A334-740D6F1FE38B}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
Release|Any CPU = Release|Any CPU
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{59864AE8-E45D-42F7-A7C0-1308EF185F39}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{59864AE8-E45D-42F7-A7C0-1308EF185F39}.Debug|Any CPU.Build.0 = Debug|Any CPU
{59864AE8-E45D-42F7-A7C0-1308EF185F39}.Release|Any CPU.ActiveCfg = Release|Any CPU
{59864AE8-E45D-42F7-A7C0-1308EF185F39}.Release|Any CPU.Build.0 = Release|Any CPU
{6015C62B-2008-426B-A334-740D6F1FE38B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6015C62B-2008-426B-A334-740D6F1FE38B}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6015C62B-2008-426B-A334-740D6F1FE38B}.Release|Any CPU.ActiveCfg = Release|Any CPU
{6015C62B-2008-426B-A334-740D6F1FE38B}.Release|Any CPU.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {17632027-F4C2-4903-B88F-310CE3DE386B}
EndGlobalSection
EndGlobal

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@ -0,0 +1,31 @@
namespace Gpt4All.Bindings;
/// <summary>
/// Represents the interface exposed by the universal wrapper for GPT4All language models built around llmodel C-API.
/// </summary>
public interface ILLModel : IDisposable
{
ModelType ModelType { get; }
ulong GetStateSizeBytes();
int GetThreadCount();
void SetThreadCount(int threadCount);
bool IsLoaded();
bool Load(string modelPath);
void Prompt(
string text,
LLModelPromptContext context,
Func<ModelPromptEventArgs, bool>? promptCallback = null,
Func<ModelResponseEventArgs, bool>? responseCallback = null,
Func<ModelRecalculatingEventArgs, bool>? recalculateCallback = null,
CancellationToken cancellationToken = default);
unsafe ulong RestoreStateData(byte* destination);
unsafe ulong SaveStateData(byte* source);
}

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namespace Gpt4All.Bindings;
/// <summary>
/// Arguments for the response processing callback
/// </summary>
/// <param name="TokenId">The token id of the response</param>
/// <param name="Response"> The response string. NOTE: a token_id of -1 indicates the string is an error string</param>
/// <return>
/// A bool indicating whether the model should keep generating
/// </return>
public record ModelResponseEventArgs(int TokenId, string Response)
{
public bool IsError => TokenId == -1;
}
/// <summary>
/// Arguments for the prompt processing callback
/// </summary>
/// <param name="TokenId">The token id of the prompt</param>
/// <return>
/// A bool indicating whether the model should keep processing
/// </return>
public record ModelPromptEventArgs(int TokenId)
{
}
/// <summary>
/// Arguments for the recalculating callback
/// </summary>
/// <param name="IsRecalculating"> whether the model is recalculating the context.</param>
/// <return>
/// A bool indicating whether the model should keep generating
/// </return>
public record ModelRecalculatingEventArgs(bool IsRecalculating);
/// <summary>
/// Base class and universal wrapper for GPT4All language models built around llmodel C-API.
/// </summary>
public class LLModel : ILLModel
{
protected readonly IntPtr _handle;
private readonly ModelType _modelType;
private bool _disposed;
public ModelType ModelType => _modelType;
internal LLModel(IntPtr handle, ModelType modelType)
{
_handle = handle;
_modelType = modelType;
}
/// <summary>
/// Create a new model from a pointer
/// </summary>
/// <param name="handle">Pointer to underlying model</param>
/// <param name="modelType">The model type</param>
public static LLModel Create(IntPtr handle, ModelType modelType)
{
return new LLModel(handle, modelType);
}
/// <summary>
/// Generate a response using the model
/// </summary>
/// <param name="text">The input promp</param>
/// <param name="context">The context</param>
/// <param name="promptCallback">A callback function for handling the processing of prompt</param>
/// <param name="responseCallback">A callback function for handling the generated response</param>
/// <param name="recalculateCallback">A callback function for handling recalculation requests</param>
/// <param name="cancellationToken"></param>
public void Prompt(
string text,
LLModelPromptContext context,
Func<ModelPromptEventArgs, bool>? promptCallback = null,
Func<ModelResponseEventArgs, bool>? responseCallback = null,
Func<ModelRecalculatingEventArgs, bool>? recalculateCallback = null,
CancellationToken cancellationToken = default)
{
GC.KeepAlive(promptCallback);
GC.KeepAlive(responseCallback);
GC.KeepAlive(recalculateCallback);
GC.KeepAlive(cancellationToken);
NativeMethods.llmodel_prompt(
_handle,
text,
(tokenId) =>
{
if (cancellationToken.IsCancellationRequested) return false;
if (promptCallback == null) return true;
var args = new ModelPromptEventArgs(tokenId);
return promptCallback(args);
},
(tokenId, response) =>
{
if (cancellationToken.IsCancellationRequested) return false;
if (responseCallback == null) return true;
var args = new ModelResponseEventArgs(tokenId, response);
return responseCallback(args);
},
(isRecalculating) =>
{
if (cancellationToken.IsCancellationRequested) return false;
if (recalculateCallback == null) return true;
var args = new ModelRecalculatingEventArgs(isRecalculating);
return recalculateCallback(args);
},
ref context.UnderlyingContext
);
}
/// <summary>
/// Set the number of threads to be used by the model.
/// </summary>
/// <param name="threadCount">The new thread count</param>
public void SetThreadCount(int threadCount)
{
NativeMethods.llmodel_setThreadCount(_handle, threadCount);
}
/// <summary>
/// Get the number of threads used by the model.
/// </summary>
/// <returns>the number of threads used by the model</returns>
public int GetThreadCount()
{
return NativeMethods.llmodel_threadCount(_handle);
}
/// <summary>
/// Get the size of the internal state of the model.
/// </summary>
/// <remarks>
/// This state data is specific to the type of model you have created.
/// </remarks>
/// <returns>the size in bytes of the internal state of the model</returns>
public ulong GetStateSizeBytes()
{
return NativeMethods.llmodel_get_state_size(_handle);
}
/// <summary>
/// Saves the internal state of the model to the specified destination address.
/// </summary>
/// <param name="source">A pointer to the src</param>
/// <returns>The number of bytes copied</returns>
public unsafe ulong SaveStateData(byte* source)
{
return NativeMethods.llmodel_save_state_data(_handle, source);
}
/// <summary>
/// Restores the internal state of the model using data from the specified address.
/// </summary>
/// <param name="destination">A pointer to destination</param>
/// <returns>the number of bytes read</returns>
public unsafe ulong RestoreStateData(byte* destination)
{
return NativeMethods.llmodel_restore_state_data(_handle, destination);
}
/// <summary>
/// Check if the model is loaded.
/// </summary>
/// <returns>true if the model was loaded successfully, false otherwise.</returns>
public bool IsLoaded()
{
return NativeMethods.llmodel_isModelLoaded(_handle);
}
/// <summary>
/// Load the model from a file.
/// </summary>
/// <param name="modelPath">The path to the model file.</param>
/// <returns>true if the model was loaded successfully, false otherwise.</returns>
public bool Load(string modelPath)
{
return NativeMethods.llmodel_loadModel(_handle, modelPath);
}
protected void Destroy()
{
NativeMethods.llmodel_model_destroy(_handle);
}
protected void DestroyLLama()
{
NativeMethods.llmodel_llama_destroy(_handle);
}
protected void DestroyGptj()
{
NativeMethods.llmodel_gptj_destroy(_handle);
}
protected void DestroyMtp()
{
NativeMethods.llmodel_mpt_destroy(_handle);
}
protected virtual void Dispose(bool disposing)
{
if (_disposed) return;
if (disposing)
{
// dispose managed state
}
switch (_modelType)
{
case ModelType.LLAMA:
DestroyLLama();
break;
case ModelType.GPTJ:
DestroyGptj();
break;
case ModelType.MPT:
DestroyMtp();
break;
default:
Destroy();
break;
}
_disposed = true;
}
public void Dispose()
{
Dispose(disposing: true);
GC.SuppressFinalize(this);
}
}

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using System.Reflection;
namespace Gpt4All.Bindings;
/// <summary>
/// Wrapper around the llmodel_prompt_context structure for holding the prompt context.
/// </summary>
/// <remarks>
/// The implementation takes care of all the memory handling of the raw logits pointer and the
/// raw tokens pointer.Attempting to resize them or modify them in any way can lead to undefined behavior
/// </remarks>
public unsafe class LLModelPromptContext
{
private llmodel_prompt_context _ctx;
internal ref llmodel_prompt_context UnderlyingContext => ref _ctx;
public LLModelPromptContext()
{
_ctx = new();
}
/// <summary>
/// logits of current context
/// </summary>
public Span<float> Logits => new(_ctx.logits, (int)_ctx.logits_size);
/// <summary>
/// the size of the raw logits vector
/// </summary>
public nuint LogitsSize
{
get => _ctx.logits_size;
set => _ctx.logits_size = value;
}
/// <summary>
/// current tokens in the context window
/// </summary>
public Span<int> Tokens => new(_ctx.tokens, (int)_ctx.tokens_size);
/// <summary>
/// the size of the raw tokens vector
/// </summary>
public nuint TokensSize
{
get => _ctx.tokens_size;
set => _ctx.tokens_size = value;
}
/// <summary>
/// top k logits to sample from
/// </summary>
public int TopK
{
get => _ctx.top_k;
set => _ctx.top_k = value;
}
/// <summary>
/// nucleus sampling probability threshold
/// </summary>
public float TopP
{
get => _ctx.top_p;
set => _ctx.top_p = value;
}
/// <summary>
/// temperature to adjust model's output distribution
/// </summary>
public float Temperature
{
get => _ctx.temp;
set => _ctx.temp = value;
}
/// <summary>
/// number of tokens in past conversation
/// </summary>
public int PastNum
{
get => _ctx.n_past;
set => _ctx.n_past = value;
}
/// <summary>
/// number of predictions to generate in parallel
/// </summary>
public int Batches
{
get => _ctx.n_batch;
set => _ctx.n_batch = value;
}
/// <summary>
/// number of tokens to predict
/// </summary>
public int TokensToPredict
{
get => _ctx.n_predict;
set => _ctx.n_predict = value;
}
/// <summary>
/// penalty factor for repeated tokens
/// </summary>
public float RepeatPenalty
{
get => _ctx.repeat_penalty;
set => _ctx.repeat_penalty = value;
}
/// <summary>
/// last n tokens to penalize
/// </summary>
public int RepeatLastN
{
get => _ctx.repeat_last_n;
set => _ctx.repeat_last_n = value;
}
/// <summary>
/// number of tokens possible in context window
/// </summary>
public int ContextSize
{
get => _ctx.n_ctx;
set => _ctx.n_ctx = value;
}
/// <summary>
/// percent of context to erase if we exceed the context window
/// </summary>
public float ContextErase
{
get => _ctx.context_erase;
set => _ctx.context_erase = value;
}
}

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using System.Runtime.InteropServices;
namespace Gpt4All.Bindings;
public unsafe partial struct llmodel_prompt_context
{
public float* logits;
[NativeTypeName("size_t")]
public nuint logits_size;
[NativeTypeName("int32_t *")]
public int* tokens;
[NativeTypeName("size_t")]
public nuint tokens_size;
[NativeTypeName("int32_t")]
public int n_past;
[NativeTypeName("int32_t")]
public int n_ctx;
[NativeTypeName("int32_t")]
public int n_predict;
[NativeTypeName("int32_t")]
public int top_k;
public float top_p;
public float temp;
[NativeTypeName("int32_t")]
public int n_batch;
public float repeat_penalty;
[NativeTypeName("int32_t")]
public int repeat_last_n;
public float context_erase;
}
internal static unsafe partial class NativeMethods
{
[UnmanagedFunctionPointer(CallingConvention.Cdecl)]
[return: MarshalAs(UnmanagedType.I1)]
public delegate bool LlmodelResponseCallback(int token_id, [MarshalAs(UnmanagedType.LPUTF8Str)] string response);
[UnmanagedFunctionPointer(CallingConvention.Cdecl)]
[return: MarshalAs(UnmanagedType.I1)]
public delegate bool LlmodelPromptCallback(int token_id);
[UnmanagedFunctionPointer(CallingConvention.Cdecl)]
[return: MarshalAs(UnmanagedType.I1)]
public delegate bool LlmodelRecalculateCallback(bool isRecalculating);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("llmodel_model")]
public static extern IntPtr llmodel_gptj_create();
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
public static extern void llmodel_gptj_destroy([NativeTypeName("llmodel_model")] IntPtr gptj);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("llmodel_model")]
public static extern IntPtr llmodel_mpt_create();
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
public static extern void llmodel_mpt_destroy([NativeTypeName("llmodel_model")] IntPtr mpt);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("llmodel_model")]
public static extern IntPtr llmodel_llama_create();
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
public static extern void llmodel_llama_destroy([NativeTypeName("llmodel_model")] IntPtr llama);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
[return: NativeTypeName("llmodel_model")]
public static extern IntPtr llmodel_model_create(
[NativeTypeName("const char *")][MarshalAs(UnmanagedType.LPUTF8Str)] string model_path);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
public static extern void llmodel_model_destroy([NativeTypeName("llmodel_model")] IntPtr model);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
[return: MarshalAs(UnmanagedType.I1)]
public static extern bool llmodel_loadModel(
[NativeTypeName("llmodel_model")] IntPtr model,
[NativeTypeName("const char *")][MarshalAs(UnmanagedType.LPUTF8Str)] string model_path);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: MarshalAs(UnmanagedType.I1)]
public static extern bool llmodel_isModelLoaded([NativeTypeName("llmodel_model")] IntPtr model);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("uint64_t")]
public static extern ulong llmodel_get_state_size([NativeTypeName("llmodel_model")] IntPtr model);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("uint64_t")]
public static extern ulong llmodel_save_state_data([NativeTypeName("llmodel_model")] IntPtr model, [NativeTypeName("uint8_t *")] byte* dest);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("uint64_t")]
public static extern ulong llmodel_restore_state_data([NativeTypeName("llmodel_model")] IntPtr model, [NativeTypeName("const uint8_t *")] byte* src);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true, BestFitMapping = false, ThrowOnUnmappableChar = true)]
public static extern void llmodel_prompt(
[NativeTypeName("llmodel_model")] IntPtr model,
[NativeTypeName("const char *")][MarshalAs(UnmanagedType.LPUTF8Str)] string prompt,
LlmodelPromptCallback prompt_callback,
LlmodelResponseCallback response_callback,
LlmodelRecalculateCallback recalculate_callback,
ref llmodel_prompt_context ctx);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
public static extern void llmodel_setThreadCount([NativeTypeName("llmodel_model")] IntPtr model, [NativeTypeName("int32_t")] int n_threads);
[DllImport("libllmodel", CallingConvention = CallingConvention.Cdecl, ExactSpelling = true)]
[return: NativeTypeName("int32_t")]
public static extern int llmodel_threadCount([NativeTypeName("llmodel_model")] IntPtr model);
}

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using System.Diagnostics;
namespace Gpt4All.Bindings;
/// <summary>Defines the type of a member as it was used in the native signature.</summary>
[AttributeUsage(AttributeTargets.Struct | AttributeTargets.Enum | AttributeTargets.Property | AttributeTargets.Field | AttributeTargets.Parameter | AttributeTargets.ReturnValue, AllowMultiple = false, Inherited = true)]
[Conditional("DEBUG")]
internal sealed partial class NativeTypeNameAttribute : Attribute
{
private readonly string _name;
/// <summary>Initializes a new instance of the <see cref="NativeTypeNameAttribute" /> class.</summary>
/// <param name="name">The name of the type that was used in the native signature.</param>
public NativeTypeNameAttribute(string name)
{
_name = name;
}
/// <summary>Gets the name of the type that was used in the native signature.</summary>
public string Name => _name;
}

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@ -0,0 +1,25 @@
using Gpt4All.Bindings;
namespace Gpt4All.Extensions;
public static class PredictRequestOptionsExtensions
{
public static LLModelPromptContext ToPromptContext(this PredictRequestOptions opts)
{
return new LLModelPromptContext
{
LogitsSize = opts.LogitsSize,
TokensSize = opts.TokensSize,
TopK = opts.TopK,
TopP = opts.TopP,
PastNum = opts.PastConversationTokensNum,
RepeatPenalty = opts.RepeatPenalty,
Temperature = opts.Temperature,
RepeatLastN = opts.RepeatLastN,
Batches = opts.Batches,
ContextErase = opts.ContextErase,
ContextSize = opts.ContextSize,
TokensToPredict = opts.TokensToPredict
};
}
}

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@ -0,0 +1,21 @@
--config
exclude-funcs-with-body
--with-access-specifier
*=Public
--include-directory
..\..\..\gpt4all-backend\
--file
..\..\..\gpt4all-backend\llmodel_c.h
--libraryPath
libllmodel
--remap
sbyte*=IntPtr
void*=IntPtr
--namespace
Gpt4All.Bindings
--methodClassName
NativeMethods
--output
.\Bindings\NativeMethods.cs
--output-mode
CSharp

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@ -0,0 +1,82 @@
using Gpt4All.Bindings;
using Gpt4All.Extensions;
namespace Gpt4All;
public class Gpt4All : IGpt4AllModel
{
private readonly ILLModel _model;
internal Gpt4All(ILLModel model)
{
_model = model;
}
public Task<ITextPredictionResult> GetPredictionAsync(string text, PredictRequestOptions opts, CancellationToken cancellationToken = default)
{
return Task.Run(() =>
{
var result = new TextPredictionResult();
var context = opts.ToPromptContext();
_model.Prompt(text, context, responseCallback: e =>
{
if (e.IsError)
{
result.Success = false;
result.ErrorMessage = e.Response;
return false;
}
result.Append(e.Response);
return true;
}, cancellationToken: cancellationToken);
return (ITextPredictionResult)result;
}, CancellationToken.None);
}
public Task<ITextPredictionStreamingResult> GetStreamingPredictionAsync(string text, PredictRequestOptions opts, CancellationToken cancellationToken = default)
{
var result = new TextPredictionStreamingResult();
_ = Task.Run(() =>
{
try
{
var context = opts.ToPromptContext();
_model.Prompt(text, context, responseCallback: e =>
{
if (e.IsError)
{
result.Success = false;
result.ErrorMessage = e.Response;
return false;
}
result.Append(e.Response);
return true;
}, cancellationToken: cancellationToken);
}
finally
{
result.Complete();
}
}, CancellationToken.None);
return Task.FromResult((ITextPredictionStreamingResult)result);
}
protected virtual void Dispose(bool disposing)
{
if (disposing)
{
_model.Dispose();
}
}
public void Dispose()
{
Dispose(true);
GC.SuppressFinalize(this);
}
}

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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net6.0</TargetFrameworks>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
</PropertyGroup>
<ItemGroup>
<!-- Windows -->
<None Include="..\runtimes\win-x64\native\*.dll" Pack="true" PackagePath="runtimes\win-x64\native\%(Filename)%(Extension)" />
<!-- Linux -->
<None Include="..\runtimes\linux-x64\native\*.so" Pack="true" PackagePath="runtimes\linux-x64\native\%(Filename)%(Extension)" />
</ItemGroup>
<ItemGroup>
<!-- Windows -->
<None Condition="$([MSBuild]::IsOSPlatform('Windows'))" Include="..\runtimes\win-x64\native\*.dll" Visible="False" CopyToOutputDirectory="PreserveNewest" />
<!-- Linux -->
<None Condition="$([MSBuild]::IsOSPlatform('Linux'))" Include="..\runtimes\linux-x64\native\*.so" Visible="False" CopyToOutputDirectory="PreserveNewest" />
</ItemGroup>
</Project>

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using Gpt4All.Bindings;
using System.Diagnostics;
namespace Gpt4All;
public class Gpt4AllModelFactory : IGpt4AllModelFactory
{
private static IGpt4AllModel CreateModel(string modelPath, ModelType? modelType = null)
{
var modelType_ = modelType ?? ModelFileUtils.GetModelTypeFromModelFileHeader(modelPath);
var handle = modelType_ switch
{
ModelType.LLAMA => NativeMethods.llmodel_llama_create(),
ModelType.GPTJ => NativeMethods.llmodel_gptj_create(),
ModelType.MPT => NativeMethods.llmodel_mpt_create(),
_ => NativeMethods.llmodel_model_create(modelPath),
};
var loadedSuccesfully = NativeMethods.llmodel_loadModel(handle, modelPath);
if (loadedSuccesfully == false)
{
throw new Exception($"Failed to load model: '{modelPath}'");
}
var underlyingModel = LLModel.Create(handle, modelType_);
Debug.Assert(underlyingModel.IsLoaded());
return new Gpt4All(underlyingModel);
}
public IGpt4AllModel LoadModel(string modelPath) => CreateModel(modelPath, modelType: null);
public IGpt4AllModel LoadMptModel(string modelPath) => CreateModel(modelPath, ModelType.MPT);
public IGpt4AllModel LoadGptjModel(string modelPath) => CreateModel(modelPath, ModelType.GPTJ);
public IGpt4AllModel LoadLlamaModel(string modelPath) => CreateModel(modelPath, ModelType.LLAMA);
}

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namespace Gpt4All;
public interface IGpt4AllModel : ITextPrediction, IDisposable
{
}

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@ -0,0 +1,12 @@
namespace Gpt4All;
public interface IGpt4AllModelFactory
{
IGpt4AllModel LoadGptjModel(string modelPath);
IGpt4AllModel LoadLlamaModel(string modelPath);
IGpt4AllModel LoadModel(string modelPath);
IGpt4AllModel LoadMptModel(string modelPath);
}

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namespace Gpt4All;
public static class ModelFileUtils
{
private const uint GPTJ_MAGIC = 0x67676d6c;
private const uint LLAMA_MAGIC = 0x67676a74;
private const uint MPT_MAGIC = 0x67676d6d;
public static ModelType GetModelTypeFromModelFileHeader(string modelPath)
{
using var fileStream = new FileStream(modelPath, FileMode.Open);
using var binReader = new BinaryReader(fileStream);
var magic = binReader.ReadUInt32();
return magic switch
{
GPTJ_MAGIC => ModelType.GPTJ,
LLAMA_MAGIC => ModelType.LLAMA,
MPT_MAGIC => ModelType.MPT,
_ => throw new ArgumentOutOfRangeException($"Invalid model file. magic=0x{magic:X8}"),
};
}
}

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namespace Gpt4All;
public record ModelOptions
{
public int Threads { get; init; } = 4;
public ModelType ModelType { get; init; } = ModelType.GPTJ;
}

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namespace Gpt4All;
/// <summary>
/// The supported model types
/// </summary>
public enum ModelType
{
LLAMA = 0,
GPTJ,
MPT
}

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namespace Gpt4All;
/// <summary>
/// Interface for text prediction services
/// </summary>
public interface ITextPrediction
{
/// <summary>
/// Get prediction results for the prompt and provided options.
/// </summary>
/// <param name="text">The text to complete</param>
/// <param name="opts">The prediction settings</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>The prediction result generated by the model</returns>
Task<ITextPredictionResult> GetPredictionAsync(
string text,
PredictRequestOptions opts,
CancellationToken cancellation = default);
/// <summary>
/// Get streaming prediction results for the prompt and provided options.
/// </summary>
/// <param name="text">The text to complete</param>
/// <param name="opts">The prediction settings</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>The prediction result generated by the model</returns>
Task<ITextPredictionStreamingResult> GetStreamingPredictionAsync(
string text,
PredictRequestOptions opts,
CancellationToken cancellationToken = default);
}

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namespace Gpt4All;
public interface ITextPredictionResult
{
bool Success { get; }
string? ErrorMessage { get; }
Task<string> GetPredictionAsync(CancellationToken cancellationToken = default);
}

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namespace Gpt4All;
public interface ITextPredictionStreamingResult : ITextPredictionResult
{
IAsyncEnumerable<string> GetPredictionStreamingAsync(CancellationToken cancellationToken = default);
}

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namespace Gpt4All;
public record PredictRequestOptions
{
public nuint LogitsSize { get; init; } = 0;
public nuint TokensSize { get; init; } = 0;
public int PastConversationTokensNum { get; init; } = 0;
public int ContextSize { get; init; } = 1024;
public int TokensToPredict { get; init; } = 128;
public int TopK { get; init; } = 40;
public float TopP { get; init; } = 0.9f;
public float Temperature { get; init; } = 0.1f;
public int Batches { get; init; } = 8;
public float RepeatPenalty { get; init; } = 1.2f;
public int RepeatLastN { get; init; } = 10;
public float ContextErase { get; init; } = 0.5f;
public static readonly PredictRequestOptions Defaults = new();
}

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using System.Text;
namespace Gpt4All;
public record TextPredictionResult : ITextPredictionResult
{
private readonly StringBuilder _result;
public bool Success { get; internal set; } = true;
public string? ErrorMessage { get; internal set; }
internal TextPredictionResult()
{
_result = new StringBuilder();
}
internal void Append(string token)
{
_result.Append(token);
}
public Task<string> GetPredictionAsync(CancellationToken cancellationToken = default)
{
return Task.FromResult(_result.ToString());
}
}

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using System.Text;
using System.Threading.Channels;
namespace Gpt4All;
public record TextPredictionStreamingResult : ITextPredictionStreamingResult
{
private readonly Channel<string> _channel;
public bool Success { get; internal set; } = true;
public string? ErrorMessage { get; internal set; }
public Task Completion => _channel.Reader.Completion;
internal TextPredictionStreamingResult()
{
_channel = Channel.CreateUnbounded<string>();
}
internal bool Append(string token)
{
return _channel.Writer.TryWrite(token);
}
internal void Complete()
{
_channel.Writer.Complete();
}
public async Task<string> GetPredictionAsync(CancellationToken cancellationToken = default)
{
var sb = new StringBuilder();
var tokens = GetPredictionStreamingAsync(cancellationToken).ConfigureAwait(false);
await foreach (var token in tokens)
{
sb.Append(token);
}
return sb.ToString();
}
public IAsyncEnumerable<string> GetPredictionStreamingAsync(CancellationToken cancellationToken = default)
{
return _channel.Reader.ReadAllAsync(cancellationToken);
}
}

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ClangSharpPInvokeGenerator @(Get-Content .\GenLLModelBindings.rsp)

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# C# GPT4All
This package contains a set of C# bindings around the `llmodel` C-API.
## Documentation
TBD
## Installation
TBD NuGet
## Project Structure
```
gpt4all-bindings/
└── csharp
   ├── Gpt4All // .NET Bindigs
   ├── Gpt4All.Samples // Sample project
├── build_win-msvc.ps1 // Native build scripts
├── build_win-mingw.ps1
├── build_linux.sh
└── runtimes // [POST-BUILD] Platform-specific native libraries
├── win-x64
├── ...
└── linux-x64
```
## Local Build Instructions
> **Note**
> Tested On:
> - Windows 11 22H + VS2022 (CE) x64
> - Linux Ubuntu x64
> - Linux Ubuntu (WSL2) x64
1. Setup the repository
2. Build the native libraries for the platform of choice (see below)
3. Build the C# Bindings (NET6+ SDK is required)
```
git clone --recurse-submodules https://github.com/nomic-ai/gpt4all
cd gpt4all/gpt4all-bindings/csharp
```
### Linux
1. Setup build environment and install NET6+ SDK with the appropriate procedure for your distribution
```
sudo apt-get update
sudo apt-get install -y cmake build-essential
chmod +x ./build_linux.sh
```
2. `./build_linux.sh`
3. The native libraries should be present at `.\native\linux-x64`
### Windows - MinGW64
#### Additional requirements
- [MinGW64](https://www.mingw-w64.org/)
- CMAKE
1. Setup
```
choco install mingw
$env:Path += ";C:\ProgramData\chocolatey\lib\mingw\tools\install\mingw64\bin"
choco install -y cmake --installargs 'ADD_CMAKE_TO_PATH=System'
```
2. Run the `./build_win-mingw.ps1` build script
3. The native libraries should be present at `.\native\win-x64`
### Windows - MSVC
#### Additional requirements
- Visual Studio 2022
1. Open a terminal using the `x64 Native Tools Command Prompt for VS 2022` (`vcvars64.bat`)
2. Run the `./build_win-msvc.ps1` build script
3. `libllmodel.dll` and `libllama.dll` should be present at `.\native\win-x64`
> **Warning**
> If the build fails with: '**error C7555: use of designated initializers requires at least '/std:c++20'**'
>
> Modify `cd gpt4all/gpt4all-backends/CMakeLists.txt` adding `CXX_STANDARD_20` to `llmodel` properties.
> ```cmake
> set_target_properties(llmodel PROPERTIES
> VERSION ${PROJECT_VERSION}
> CXX_STANDARD 20 # <---- ADD THIS -----------------------
> SOVERSION ${PROJECT_VERSION_MAJOR})
> ```
## C# Bindings Build Instructions
Build the `Gpt4All` (or `Gpt4All.Samples`) projects from within VisualStudio.
### Try the bindings
```csharp
using Gpt4All;
// load the model
var modelFactory = new ModelFactory();
using var model = modelFactory.LoadModel("./path/to/ggml-gpt4all-j-v1.3-groovy.bin");
var input = "Name 3 Colors";
// request a prediction
var result = await model.GetStreamingPredictionAsync(
input,
PredictRequestOptions.Defaults);
// asynchronously print the tokens as soon as they are produces by the model
await foreach(var token in result.GetPredictionStreamingAsync())
{
Console.Write(token);
}
```
Output:
```
gptj_model_load: loading model from 'ggml-gpt4all-j-v1.3-groovy.bin' - please wait ...
gptj_model_load: n_vocab = 50400
[...TRUNCATED...]
gptj_model_load: ggml ctx size = 5401.45 MB
gptj_model_load: kv self size = 896.00 MB
gptj_model_load: ................................... done
gptj_model_load: model size = 3609.38 MB / num tensors = 285
Black, Blue and White
```

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mkdir -p runtimes
rm -rf runtimes/linux-x64
mkdir -p runtimes/linux-x64/native
mkdir runtimes/linux-x64/build
cmake -S ../../gpt4all-backend -B runtimes/linux-x64/build
cmake --build runtimes/linux-x64/build --parallel --config Release
cp runtimes/linux-x64/build/libllmodel.so runtimes/linux-x64/native/libllmodel.so
cp runtimes/linux-x64/build/llama.cpp/libllama.so runtimes/linux-x64/native/libllama.so

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$ROOT_DIR = '.\runtimes\win-x64'
$BUILD_DIR = '.\runtimes\win-x64\build\mingw'
$LIBS_DIR = '.\runtimes\win-x64\native'
# cleanup env
Remove-Item -Force -Recurse $ROOT_DIR -ErrorAction SilentlyContinue | Out-Null
mkdir $BUILD_DIR | Out-Null
mkdir $LIBS_DIR | Out-Null
# build
cmake -G "MinGW Makefiles" -S ..\..\gpt4all-backend -B $BUILD_DIR
cmake --build $BUILD_DIR --parallel --config Release
# copy native dlls
cp "C:\ProgramData\chocolatey\lib\mingw\tools\install\mingw64\bin\*dll" $LIBS_DIR
cp "$BUILD_DIR\libllmodel.dll" $LIBS_DIR
cp "$BUILD_DIR\bin\libllama.dll" $LIBS_DIR

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Remove-Item -Force -Recurse .\runtimes\win-x64\msvc -ErrorAction SilentlyContinue
mkdir .\runtimes\win-x64\msvc\build | Out-Null
cmake -G "Visual Studio 17 2022" -A Win64 -S ..\..\gpt4all-backend -B .\runtimes\win-x64\msvc\build
cmake --build .\runtimes\win-x64\msvc\build --parallel --config Release
cp .\runtimes\win-x64\msvc\build\Release\llmodel.dll .\runtimes\win-x64\libllmodel.dll
cp .\runtimes\win-x64\msvc\build\bin\Release\llama.dll .\runtimes\win-x64\libllama.dll

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# GPT4All C# API