diff --git a/pipeline/includes/data_generation/llama_generator.h b/pipeline/includes/data_generation/llama_generator.h
index da58a4d..ef0189b 100644
--- a/pipeline/includes/data_generation/llama_generator.h
+++ b/pipeline/includes/data_generation/llama_generator.h
@@ -19,7 +19,6 @@
 
 struct llama_model;
 struct llama_context;
-struct llama_sampler;
 
 /**
  * @brief Data generator implementation backed by llama.cpp.
@@ -78,13 +77,9 @@ class LlamaGenerator final : public DataGenerator {
   struct ContextDeleter {
     void operator()(llama_context* context) const noexcept;
   };
-  struct SamplerDeleter {
-    void operator()(llama_sampler* sampler) const noexcept;
-  };
 
   using ModelHandle = std::unique_ptr<llama_model, ModelDeleter>;
   using ContextHandle = std::unique_ptr<llama_context, ContextDeleter>;
-  using SamplerChainHandle = std::unique_ptr<llama_sampler, SamplerDeleter>;
 
   /**
    * @brief Loads model and prepares inference context.
@@ -102,20 +97,24 @@ class LlamaGenerator final : public DataGenerator {
    * @param system_prompt System role prompt.
    * @param prompt User prompt.
    * @param max_tokens Maximum tokens to generate.
+  * @param grammar Optional GBNF grammar constraining generated output.
    * @return Generated text.
    */
   std::string Infer(const std::string& system_prompt, const std::string& prompt,
-                    int max_tokens = kDefaultMaxTokens);
+              int max_tokens = kDefaultMaxTokens,
+              std::string_view grammar = {});
 
   /**
    * @brief Runs inference on an already-formatted prompt.
    *
    * @param formatted_prompt Prompt preformatted for model chat template.
    * @param max_tokens Maximum tokens to generate.
+  * @param grammar Optional GBNF grammar constraining generated output.
    * @return Generated text.
    */
   std::string InferFormatted(const std::string& formatted_prompt,
-                             int max_tokens = kDefaultMaxTokens);
+                    int max_tokens = kDefaultMaxTokens,
+                    std::string_view grammar = {});
 
   /**
    * @brief Loads the brewery system prompt from disk.
@@ -127,8 +126,6 @@ class LlamaGenerator final : public DataGenerator {
 
   ModelHandle model_;
   ContextHandle context_;
-  /// @brief Persistent sampler chain reused across inference calls.
-  SamplerChainHandle sampler_;
   float sampling_temperature_ = 1.0F;
   float sampling_top_p_ = kDefaultSamplingTopP;
   uint32_t sampling_top_k_ = kDefaultSamplingTopK;
diff --git a/pipeline/includes/data_generation/llama_generator_helpers.h b/pipeline/includes/data_generation/llama_generator_helpers.h
index 11fe593..b1e26db 100644
--- a/pipeline/includes/data_generation/llama_generator_helpers.h
+++ b/pipeline/includes/data_generation/llama_generator_helpers.h
@@ -14,7 +14,7 @@
 
 struct llama_model;
 struct llama_vocab;
-typedef int32_t llama_token;
+using llama_token = int32_t;
 
 /**
  * @brief Normalizes and truncates regional context.
@@ -60,12 +60,4 @@ std::optional<std::string> ValidateBreweryJson(const std::string& raw,
                                                std::string& name_out,
                                                std::string& description_out);
 
-/**
- * @brief Extracts the last balanced JSON object from text.
- *
- * @param text Input text.
- * @return Extracted JSON object or an empty string if none exists.
- */
-std::string ExtractLastJsonObject(const std::string& text);
-
 #endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
diff --git a/pipeline/src/biergarten_data_generator/query_cities_with_countries.cc b/pipeline/src/biergarten_data_generator/query_cities_with_countries.cc
index 41a0f98..5cf60b6 100644
--- a/pipeline/src/biergarten_data_generator/query_cities_with_countries.cc
+++ b/pipeline/src/biergarten_data_generator/query_cities_with_countries.cc
@@ -13,7 +13,7 @@
 #include "biergarten_data_generator.h"
 #include "json_handling/json_loader.h"
 
-static constexpr size_t kBreweryAmount = 4;
+static constexpr size_t kBreweryAmount = 50;
 
 std::vector<Location> BiergartenDataGenerator::QueryCitiesWithCountries() {
   spdlog::info("\n=== GEOGRAPHIC DATA OVERVIEW ===");
diff --git a/pipeline/src/data_generation/llama/generate_brewery.cc b/pipeline/src/data_generation/llama/generate_brewery.cc
index 5ddc326..f511ed4 100644
--- a/pipeline/src/data_generation/llama/generate_brewery.cc
+++ b/pipeline/src/data_generation/llama/generate_brewery.cc
@@ -6,56 +6,24 @@
 
 #include "data_generation/llama_generator.h"
 
-#include <array>
 #include <format>
 #include <optional>
 #include <stdexcept>
 #include <string>
+#include <string_view>
 
 #include <spdlog/spdlog.h>
 
 #include "data_generation/llama_generator_helpers.h"
 
-static std::string ExtractFinalJsonPayload(std::string raw_response) {
-  auto trim = [](const std::string_view text) -> std::string_view {
-    const size_t first = text.find_first_not_of(" \t\n\r");
-    if (first == std::string_view::npos) {
-      return {};
-    }
-
-    const size_t last = text.find_last_not_of(" \t\n\r");
-    return text.substr(first, last - first + 1);
-  };
-
-  static constexpr std::array<std::string_view, 6> separator_tokens = {
-      "<|think|>", "<think|>",   "<|turn|>",
-      "<turn|>",   "<channel|>", "<|channel|>"};
-
-  size_t separator_pos = std::string::npos;
-  size_t separator_length = 0;
-  for (const std::string_view token : separator_tokens) {
-    const size_t candidate_pos = raw_response.rfind(token);
-    if (candidate_pos != std::string::npos &&
-        (separator_pos == std::string::npos || candidate_pos > separator_pos)) {
-      separator_pos = candidate_pos;
-      separator_length = token.size();
-    }
-  }
-
-  if (separator_pos != std::string::npos) {
-    raw_response.erase(0, separator_pos + separator_length);
-  }
-
-  const std::string_view trimmed = trim(raw_response);
-  const std::string json_candidate =
-      ExtractLastJsonObject(std::string(trimmed));
-
-  if (!json_candidate.empty()) {
-    return json_candidate;
-  }
-
-  return std::string(trimmed);
-}
+static constexpr std::string_view kBreweryJsonGrammar = R"json_brewery(
+root ::= ws "{" ws "\"name\"" ws ":" ws string ws "," ws "\"description\"" ws ":" ws string ws "}" ws
+ws ::= [ \t\n\r]*
+string ::= "\"" char+ "\""
+char ::= [^"\\\x7F\x00-\x1F] | [\\] escape
+escape ::= ["\\/bfnrt] | "u" hex hex hex hex
+hex ::= [0-9a-fA-F]
+)json_brewery";
 
 BreweryResult LlamaGenerator::GenerateBrewery(
     const Location& location, const std::string& region_context) {
@@ -108,7 +76,7 @@ BreweryResult LlamaGenerator::GenerateBrewery(
   for (int attempt = 0; attempt < max_attempts; ++attempt) {
     constexpr int max_tokens = 1052;
     // Generate brewery data from LLM
-    raw = this->Infer(system_prompt, prompt, max_tokens);
+    raw = this->Infer(system_prompt, prompt, max_tokens, kBreweryJsonGrammar);
     spdlog::debug("LlamaGenerator: raw output (attempt {}): {}", attempt + 1,
                   raw);
 
@@ -116,9 +84,8 @@ BreweryResult LlamaGenerator::GenerateBrewery(
 
     std::string name;
     std::string description;
-    const std::string json_only = ExtractFinalJsonPayload(raw);
     const std::optional<std::string> validation_error =
-      ValidateBreweryJson(json_only, name, description);
+        ValidateBreweryJson(raw, name, description);
     if (!validation_error.has_value()) {
       // Success: return parsed brewery data
       return BreweryResult{.name = std::move(name),
diff --git a/pipeline/src/data_generation/llama/helpers.cc b/pipeline/src/data_generation/llama/helpers.cc
index 098af1d..88bbf5b 100644
--- a/pipeline/src/data_generation/llama/helpers.cc
+++ b/pipeline/src/data_generation/llama/helpers.cc
@@ -11,7 +11,6 @@
 #include <boost/json.hpp>
 #include <cctype>
 #include <optional>
-#include <sstream>
 #include <stdexcept>
 #include <string>
 #include <string_view>
@@ -97,11 +96,16 @@ std::string ToChatPrompt(const llama_model* model,
     return combined_prompt;
   }
 
-  const std::array<llama_chat_message, 2> messages = {
-      {{"system", system_prompt.c_str()}, {"user", user_prompt.c_str()}}};
+  const std::array<llama_chat_message, 2> messages = {{
+      {.role = "system", .content = system_prompt.c_str()},
+      {.role = "user", .content = user_prompt.c_str()},
+  }};
+
+  constexpr std::size_t min_template_buffer_size = 1024;
 
   std::vector<char> buffer(std::max<std::size_t>(
-      1024, (system_prompt.size() + user_prompt.size()) * 4));
+      min_template_buffer_size,
+      (system_prompt.size() + user_prompt.size()) * 4));
 
   auto apply_template_with_resize = [&](const llama_chat_message* chat_messages,
                                         int32_t message_count) -> int32_t {
@@ -113,11 +117,11 @@ std::string ToChatPrompt(const llama_model* model,
       return result;
     }
 
-    if (result >= static_cast<int32_t>(buffer.size())) {
+    const auto buffer_size = static_cast<int32_t>(buffer.size());
+    if (result >= buffer_size) {
       buffer.resize(static_cast<std::size_t>(result) + 1);
       result = llama_chat_apply_template(tmpl, chat_messages, message_count,
-                                         true, buffer.data(),
-                                         static_cast<int32_t>(buffer.size()));
+                                         true, buffer.data(), buffer_size);
     }
 
     return result;
@@ -136,8 +140,9 @@ std::string ToChatPrompt(const llama_model* model,
 
   // FALLBACK: If the template fails (e.g., Model rejecting the "system" role),
   // combine the system and user prompts into a single "user" message.
-  const std::array<llama_chat_message, 1> fallback_msg = {
-      {{"user", combined_prompt.c_str()}}};
+  const std::array<llama_chat_message, 1> fallback_msg = {{
+      {.role = "user", .content = combined_prompt.c_str()},
+  }};
 
   template_result = apply_template_with_resize(fallback_msg.data(), 1);
 
@@ -188,102 +193,17 @@ void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
       "LlamaGenerator: failed to decode sampled token piece");
 }
 
-// Shared parser used by the public extractor and JSON validation.
-static bool ExtractLastJsonObject(const std::string& text,
-                                  std::string& json_out) {
-  // Remember where the most recent balanced object started.
-  size_t start = std::string::npos;
-
-  // Track nested braces outside of quoted strings.
-  int depth = 0;
-
-  // Track whether the scan is currently inside a quoted string.
-  bool in_string = false;
-
-  // Track escape sequences so quotes inside strings are handled correctly.
-  bool escaped = false;
-
-  // Record whether at least one complete object was found.
-  bool found = false;
-
-  // Keep the latest complete object candidate.
-  std::string candidate;
-
-  // Scan the input text one character at a time.
-  for (size_t i = 0; i < text.size(); ++i) {
-    // Inspect the current character.
-    const char chr = text[i];
-
-    // Inside a string literal, only escapes and quotes affect state.
-    if (in_string) {
-      if (escaped) {
-        // The current character was escaped, so clear the escape flag.
-        escaped = false;
-      } else if (chr == '\\') {
-        // Mark the next character as escaped.
-        escaped = true;
-      } else if (chr == '"') {
-        // Closing quote ends the string literal.
-        in_string = false;
-      }
-      continue;
-    }
-
-    // Opening quotes enter string mode.
-    if (chr == '"') {
-      in_string = true;
-      continue;
-    }
-
-    // Opening braces begin or nest a JSON object.
-    if (chr == '{') {
-      if (depth == 0) {
-        // Record the start of the outermost object.
-        start = i;
-      }
-
-      // Increase nesting depth for the active object.
-      ++depth;
-      continue;
-    }
-
-    // Closing braces may complete an object.
-    if (chr == '}') {
-      if (depth == 0) {
-        // Ignore stray closing braces.
-        continue;
-      }
-
-      // Drop one level of nesting.
-      --depth;
-      if (depth == 0 && start != std::string::npos) {
-        // Capture the latest complete object seen so far.
-        candidate = text.substr(start, i - start + 1);
-        found = true;
-      }
-    }
-  }
-
-  if (!found) {
-    return false;
-  }
-
-  // Return the captured object text to the caller.
-  json_out = std::move(candidate);
-  return true;
-}
-
 std::optional<std::string> ValidateBreweryJson(const std::string& raw,
                                                std::string& name_out,
                                                std::string& description_out) {
-  auto validate_object = [&](const boost::json::value& jv,
+  auto validate_object = [&](const boost::json::value& json_value,
                              std::string& error_out) -> bool {
-    if (!jv.is_object()) {
+    if (!json_value.is_object()) {
       error_out = "JSON root must be an object";
       return false;
     }
 
-    const auto& obj = jv.get_object();
+    const auto& obj = json_value.get_object();
     if (!obj.contains("name") || !obj.at("name").is_string()) {
       error_out = "JSON field 'name' is missing or not a string";
       return false;
@@ -313,14 +233,15 @@ std::optional<std::string> ValidateBreweryJson(const std::string& raw,
     std::string name_lower = name_out;
     std::string description_lower = description_out;
 
-    std::transform(
-        name_lower.begin(), name_lower.end(), name_lower.begin(),
-        [](unsigned char c) { return static_cast<char>(std::tolower(c)); });
+    std::ranges::transform(name_lower, name_lower.begin(),
+                           [](unsigned char character) {
+                             return static_cast<char>(std::tolower(character));
+                           });
 
-    std::transform(description_lower.begin(), description_lower.end(),
-                   description_lower.begin(), [](unsigned char c) {
-                     return static_cast<char>(std::tolower(c));
-                   });
+    std::ranges::transform(description_lower, description_lower.begin(),
+                           [](unsigned char character) {
+                             return static_cast<char>(std::tolower(character));
+                           });
 
     if (name_lower == "string" || description_lower == "string") {
       error_out = "JSON appears to be a schema placeholder, not content";
@@ -331,41 +252,16 @@ std::optional<std::string> ValidateBreweryJson(const std::string& raw,
     return true;
   };
 
-  boost::system::error_code ec;
-  boost::json::value jv = boost::json::parse(raw, ec);
+  boost::system::error_code error_code;
+  boost::json::value json_value = boost::json::parse(raw, error_code);
   std::string validation_error;
-  if (ec) {
-    std::string extracted;
-    if (!ExtractLastJsonObject(raw, extracted)) {
-      return "JSON parse error: " + ec.message();
-    }
-
-    ec.clear();
-    jv = boost::json::parse(extracted, ec);
-    if (ec) {
-      return "JSON parse error: " + ec.message();
-    }
-
-    if (!validate_object(jv, validation_error)) {
-      return validation_error;
-    }
-
-    return std::nullopt;
+  if (error_code) {
+    return "JSON parse error: " + error_code.message();
   }
 
-  if (!validate_object(jv, validation_error)) {
+  if (!validate_object(json_value, validation_error)) {
     return validation_error;
   }
 
   return std::nullopt;
 }
-
-std::string ExtractLastJsonObject(const std::string& text) {
-  // Reuse the internal parser and return an empty string if none was found.
-  std::string extracted;
-  if (ExtractLastJsonObject(text, extracted)) {
-    return extracted;
-  }
-
-  return {};
-}
diff --git a/pipeline/src/data_generation/llama/infer.cc b/pipeline/src/data_generation/llama/infer.cc
index ef24db2..bc47e13 100644
--- a/pipeline/src/data_generation/llama/infer.cc
+++ b/pipeline/src/data_generation/llama/infer.cc
@@ -11,6 +11,7 @@
 #include <memory>
 #include <stdexcept>
 #include <string>
+#include <string_view>
 #include <vector>
 
 #include "data_generation/llama_generator.h"
@@ -19,15 +20,68 @@
 
 static constexpr size_t kPromptTokenSlack = 8;
 
+namespace {
+
+using SamplerHandle = std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
+
+struct SamplerConfig {
+  float temperature;
+  uint32_t top_k;
+  float top_p;
+  uint32_t seed;
+};
+
+SamplerHandle MakeSamplerChain(const llama_vocab* vocab,
+                               const SamplerConfig& config,
+                               std::string_view grammar) {
+  const llama_sampler_chain_params sampler_params =
+      llama_sampler_chain_default_params();
+
+  SamplerHandle chain(llama_sampler_chain_init(sampler_params),
+                      llama_sampler_free);
+  if (!chain) {
+    throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
+  }
+
+  auto add_sampler = [&](llama_sampler* sampler, const char* error_message) {
+    if (sampler == nullptr) {
+      throw std::runtime_error(error_message);
+    }
+
+    llama_sampler_chain_add(chain.get(), sampler);
+  };
+
+  if (!grammar.empty()) {
+    const std::string grammar_text(grammar);
+    add_sampler(llama_sampler_init_grammar(vocab, grammar_text.c_str(), "root"),
+                "LlamaGenerator: failed to initialize grammar sampler");
+  }
+
+  add_sampler(llama_sampler_init_temp(config.temperature),
+              "LlamaGenerator: failed to initialize temperature sampler");
+  add_sampler(llama_sampler_init_top_k(static_cast<int32_t>(config.top_k)),
+              "LlamaGenerator: failed to initialize top-k sampler");
+  add_sampler(llama_sampler_init_top_p(config.top_p, 1),
+              "LlamaGenerator: failed to initialize top-p sampler");
+  add_sampler(llama_sampler_init_dist(config.seed),
+              "LlamaGenerator: failed to initialize distribution sampler");
+
+  return chain;
+}
+
+}  // namespace
+
 std::string LlamaGenerator::Infer(const std::string& system_prompt,
                                   const std::string& prompt,
-                                  const int max_tokens) {
+                                  const int max_tokens,
+                                  std::string_view grammar) {
   return InferFormatted(ToChatPrompt(model_.get(), system_prompt, prompt),
-                        max_tokens);
+                        max_tokens, grammar);
 }
 
 std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
-                                           const int max_tokens) {
+                                           const int max_tokens,
+                                           std::string_view grammar) {
   /**
    * Validate that model and context are loaded
    */
@@ -43,6 +97,14 @@ std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
     throw std::runtime_error("LlamaGenerator: vocab unavailable");
   }
 
+  const SamplerConfig sampler_config{
+      .temperature = sampling_temperature_,
+      .top_k = sampling_top_k_,
+      .top_p = sampling_top_p_,
+      .seed = rng_(),
+  };
+  auto sampler = MakeSamplerChain(vocab, sampler_config, grammar);
+
   /**
    * Clear KV cache to ensure clean inference state (no residual context)
    */
@@ -140,17 +202,13 @@ std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
   std::vector<llama_token> generated_tokens;
   generated_tokens.reserve(static_cast<size_t>(effective_max_tokens));
 
-  if (!sampler_) {
-    throw std::runtime_error("LlamaGenerator: sampler not initialized");
-  }
-
   for (int i = 0; i < effective_max_tokens; ++i) {
     /**
      * Sample next token using configured sampler chain and model logits
      * Index -1 means use the last output position from previous batch
      */
     const llama_token next =
-        llama_sampler_sample(sampler_.get(), context_.get(), -1);
+        llama_sampler_sample(sampler.get(), context_.get(), -1);
     /**
      * Stop if model predicts end-of-generation token (EOS/EOT)
      */
diff --git a/pipeline/src/data_generation/llama/llama_generator.cc b/pipeline/src/data_generation/llama/llama_generator.cc
index ccb4a3b..61ddf8a 100644
--- a/pipeline/src/data_generation/llama/llama_generator.cc
+++ b/pipeline/src/data_generation/llama/llama_generator.cc
@@ -30,13 +30,6 @@ void LlamaGenerator::ContextDeleter::operator()(
   }
 }
 
-void LlamaGenerator::SamplerDeleter::operator()(
-    llama_sampler* sampler) const noexcept {
-  if (sampler != nullptr) {
-    llama_sampler_free(sampler);
-  }
-}
-
 LlamaGenerator::LlamaGenerator(const ApplicationOptions& options,
                                const std::string& model_path)
     : rng_(std::random_device{}()) {
@@ -81,25 +74,6 @@ LlamaGenerator::LlamaGenerator(const ApplicationOptions& options,
   n_ctx_ = options.n_ctx;
 
   this->Load(model_path);
-  const llama_sampler_chain_params sampler_params =
-      llama_sampler_chain_default_params();
-
-  sampler_ = SamplerChainHandle(llama_sampler_chain_init(sampler_params));
-  if (!sampler_) {
-    throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
-  }
-
-  llama_sampler_chain_add(sampler_.get(),
-                          llama_sampler_init_temp(sampling_temperature_));
-
-  llama_sampler_chain_add(
-      sampler_.get(),
-      llama_sampler_init_top_k(static_cast<int32_t>(sampling_top_k_)));
-
-  llama_sampler_chain_add(sampler_.get(),
-                          llama_sampler_init_top_p(sampling_top_p_, 1));
-
-  llama_sampler_chain_add(sampler_.get(), llama_sampler_init_dist(rng_()));
 }
 
 LlamaGenerator::~LlamaGenerator() = default;