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the-biergarten-app/pipeline/includes/data_generation/llama_generator.h
Aaron Po 035b30abba updates
2026-04-13 00:14:20 -04:00

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#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_H_
#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_H_
/**
* @file data_generation/llama_generator.h
* @brief Llama.cpp-backed implementation of DataGenerator.
*/
#include <cstdint>
#include <random>
#include <string>
#include <string_view>
#include "data_generation/data_generator.h"
#include "data_model/application_options.h"
struct llama_model;
struct llama_context;
struct llama_sampler;
/**
* @brief Data generator implementation backed by llama.cpp.
*/
class LlamaGenerator final : public DataGenerator {
public:
/**
* @brief Constructs a generator using parsed application options and loads
* the configured model immediately.
*
* @param options Parsed application options.
* @param model_path Filesystem path to GGUF model assets.
*/
LlamaGenerator(const ApplicationOptions& options,
const std::string& model_path);
/// @brief Releases model/context resources.
~LlamaGenerator() override;
LlamaGenerator(const LlamaGenerator&) = delete;
LlamaGenerator& operator=(const LlamaGenerator&) = delete;
LlamaGenerator(LlamaGenerator&&) = delete;
LlamaGenerator& operator=(LlamaGenerator&&) = delete;
/**
* @brief Generates brewery data for a specific location.
*
* @param location Location object.
* @param region_context Additional regional context.
* @return Generated brewery result.
*/
BreweryResult GenerateBrewery(const Location& location,
const std::string& region_context) override;
/**
* @brief Generates a user profile for the provided locale.
*
* @param locale Locale hint.
* @return Generated user profile.
*/
UserResult GenerateUser(const std::string& locale) override;
private:
static constexpr int kDefaultMaxTokens = 10000;
static constexpr float kDefaultSamplingTopP = 0.95F;
static constexpr uint32_t kDefaultSamplingTopK = 64;
static constexpr uint32_t kDefaultContextSize = 8192;
struct SamplerState {
SamplerState() = default;
~SamplerState();
SamplerState(const SamplerState&) = delete;
SamplerState& operator=(const SamplerState&) = delete;
SamplerState(SamplerState&&) = delete;
SamplerState& operator=(SamplerState&&) = delete;
llama_sampler* chain = nullptr;
};
/**
* @brief Loads model and prepares inference context.
*
* @param model_path Filesystem path to GGUF model.
*/
void Load(const std::string& model_path);
/**
* @brief Infers text from separate system and user prompts.
*
* This helps chat-capable models preserve system-role behavior instead of
* concatenating system text into user input.
*
* @param system_prompt System role prompt.
* @param prompt User prompt.
* @param max_tokens Maximum tokens to generate.
* @return Generated text.
*/
std::string Infer(const std::string& system_prompt, const std::string& prompt,
int max_tokens = kDefaultMaxTokens);
/**
* @brief Runs inference on an already-formatted prompt.
*
* @param formatted_prompt Prompt preformatted for model chat template.
* @param max_tokens Maximum tokens to generate.
* @return Generated text.
*/
std::string InferFormatted(const std::string& formatted_prompt,
int max_tokens = kDefaultMaxTokens);
/**
* @brief Loads the brewery system prompt from disk.
*
* @param prompt_file_path Prompt file path to try first.
* @return Loaded prompt text.
*/
std::string LoadBrewerySystemPrompt(const std::string& prompt_file_path);
llama_model* model_ = nullptr;
llama_context* context_ = nullptr;
/// @brief Persistent sampler chain reused across inference calls.
std::unique_ptr<SamplerState> sampler_;
float sampling_temperature_ = 1.0F;
float sampling_top_p_ = kDefaultSamplingTopP;
uint32_t sampling_top_k_ = kDefaultSamplingTopK;
std::mt19937 rng_;
uint32_t n_ctx_ = kDefaultContextSize;
std::string brewery_system_prompt_;
};
#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_H_