fix: correctly parse thinking content from gemma4 (#8407)

Signed-off-by: jh-block <jhugo@block.xyz>

Cargo.lock

@@ -5860,9 +5860,9 @@ checksum = "11d3d7f243d5c5a8b9bb5d6dd2b1602c0cb0b9db1621bafc7ed66e35ff9fe092"
 
 [[package]]
 name = "llama-cpp-2"
-version = "0.1.142"
+version = "0.1.143"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9f04fe7a4b6836bff1966eb8c35e5e121f573641887526d9f997e9c10a64d1bc"
+checksum = "d564eb5d7ae88f596e7636ffd549e0f27f4c938a7c7841bb91e2a92c248c9ccb"
 dependencies = [
  "encoding_rs",
  "enumflags2",
@@ -5874,9 +5874,9 @@ dependencies = [
 
 [[package]]
 name = "llama-cpp-sys-2"
-version = "0.1.142"
+version = "0.1.143"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "95ef4708a34c686a2686f9a57050df3b5384ff346dcbfb8ee47b5814f4dcfc90"
+checksum = "2f2cf3435dbadb87817e0a95325c818cd89d43026e8ba1ddd32f1d980d96f33d"
 dependencies = [
  "bindgen",
  "cc",

crates/goose/Cargo.toml

@@ -179,7 +179,7 @@ tree-sitter-typescript = { workspace = true }
 which = { workspace = true }
 pctx_code_mode = { version = "^0.3.0", optional = true }
 pulldown-cmark = "0.13.0"
-llama-cpp-2 = { version = "0.1.142", features = ["sampler"], optional = true }
+llama-cpp-2 = { version = "0.1.143", features = ["sampler"], optional = true }
 encoding_rs = "0.8.35"
 pastey = "0.2.1"
 shell-words = { workspace = true }
@@ -197,7 +197,7 @@ keyring = { version = "3.6.2", features = ["windows-native"] }
 [target.'cfg(target_os = "macos")'.dependencies]
 candle-core = { version = "0.9", default-features = false, features = ["metal"], optional = true }
 candle-nn = { version = "0.9", default-features = false, features = ["metal"], optional = true }
-llama-cpp-2 = { version = "0.1.142", features = ["sampler", "metal"], optional = true }
+llama-cpp-2 = { version = "0.1.143", features = ["sampler", "metal"], optional = true }
 keyring = { version = "3.6.2", features = ["apple-native"] }
 
 [target.'cfg(target_os = "linux")'.dependencies]

crates/goose/src/providers/local_inference.rs

@@ -122,12 +122,20 @@ pub fn resolve_model_path(
     usize,
     crate::providers::local_inference::local_model_registry::ModelSettings,
 )> {
-    use crate::providers::local_inference::local_model_registry::get_registry;
+    use crate::providers::local_inference::local_model_registry::{
+        default_settings_for_model, get_registry,
+    };
 
     if let Ok(registry) = get_registry().lock() {
         if let Some(entry) = registry.get_model(model_id) {
             let ctx = entry.settings.context_size.unwrap_or(0) as usize;
-            return Some((entry.local_path.clone(), ctx, entry.settings.clone()));
+            let mut settings = entry.settings.clone();
+            // Capability flags are inherent to the model family, not user-configurable.
+            // Re-derive them so that registry entries persisted before a model was
+            // recognized (or with a different quantization) still get the right behavior.
+            let defaults = default_settings_for_model(model_id);
+            settings.native_tool_calling = defaults.native_tool_calling;
+            return Some((entry.local_path.clone(), ctx, settings));
         }
     }
 

crates/goose/src/providers/local_inference/inference_engine.rs

@@ -118,15 +118,15 @@ pub(super) fn effective_context_size(
 ) -> usize {
     let limit = context_cap(settings, context_limit, n_ctx_train, memory_max_ctx);
     let min_generation_headroom = 512;
-    let needed = prompt_token_count + min_generation_headroom;
+    if prompt_token_count + min_generation_headroom > limit {
-    if needed > limit {
         tracing::warn!(
-            "Prompt ({} tokens) + headroom exceeds context limit ({}), capping to limit",
+            "Prompt ({} tokens) + minimum headroom ({}) exceeds context limit ({})",
             prompt_token_count,
+            min_generation_headroom,
             limit,
         );
     }
-    needed.min(limit)
+    limit
 }
 
 pub(super) fn build_context_params(
@@ -269,7 +269,8 @@ pub(super) enum TokenAction {
 
 /// Run the autoregressive generation loop. Calls `on_piece` for each non-empty
 /// token piece. The callback returns `TokenAction::Stop` to break early.
-/// Returns the total number of generated tokens.
+/// Returns the total number of generated tokens, or `ContextLengthExceeded`
+/// if the model exhausted the available context window.
 pub(super) fn generation_loop(
     model: &LlamaModel,
     ctx: &mut llama_cpp_2::context::LlamaContext<'_>,
@@ -279,19 +280,25 @@ pub(super) fn generation_loop(
     mut on_piece: impl FnMut(&str) -> Result<TokenAction, ProviderError>,
 ) -> Result<i32, ProviderError> {
     let mut sampler = build_sampler(settings);
+    let context_headroom = effective_ctx.saturating_sub(prompt_token_count);
     let max_output = if let Some(max) = settings.max_output_tokens {
-        effective_ctx.saturating_sub(prompt_token_count).min(max)
+        context_headroom.min(max)
     } else {
-        effective_ctx.saturating_sub(prompt_token_count)
+        context_headroom
     };
+    let hit_context_limit = settings
+        .max_output_tokens
+        .is_none_or(|max| context_headroom <= max);
     let mut decoder = encoding_rs::UTF_8.new_decoder();
     let mut output_token_count: i32 = 0;
+    let mut exhausted_loop = true;
 
     for _ in 0..max_output {
         let token = sampler.sample(ctx, -1);
         sampler.accept(token);
 
         if model.is_eog_token(token) {
+            exhausted_loop = false;
             break;
         }
 
@@ -302,6 +309,7 @@ pub(super) fn generation_loop(
             .map_err(|e| ProviderError::ExecutionError(format!("Failed to decode token: {}", e)))?;
 
         if !piece.is_empty() && matches!(on_piece(&piece)?, TokenAction::Stop) {
+            exhausted_loop = false;
             break;
         }
 
@@ -312,6 +320,16 @@ pub(super) fn generation_loop(
             .map_err(|e| ProviderError::ExecutionError(format!("Decode failed: {}", e)))?;
     }
 
+    if exhausted_loop && hit_context_limit {
+        return Err(ProviderError::ContextLengthExceeded(format!(
+            "Generation exhausted context window ({} prompt + {} generated = {} of {} limit)",
+            prompt_token_count,
+            output_token_count,
+            prompt_token_count as i32 + output_token_count,
+            effective_ctx,
+        )));
+    }
+
     Ok(output_token_count)
 }
 
@@ -325,10 +343,10 @@ mod tests {
     }
 
     #[test]
-    fn test_effective_context_size_basic() {
+    fn test_effective_context_size_uses_full_limit() {
         assert_eq!(
             effective_context_size(100, &default_settings(), 4096, 4096, None),
-            612
+            4096
         );
     }
 
@@ -336,7 +354,7 @@ mod tests {
     fn test_effective_context_size_capped_by_limit() {
         assert_eq!(
             effective_context_size(100, &default_settings(), 1024, 8192, None),
-            612
+            1024
         );
     }
 
@@ -344,12 +362,12 @@ mod tests {
     fn test_effective_context_size_capped_by_memory() {
         assert_eq!(
             effective_context_size(100, &default_settings(), 4096, 4096, Some(800)),
-            612
+            800
         );
     }
 
     #[test]
-    fn test_effective_context_size_memory_smaller_than_needed() {
+    fn test_effective_context_size_memory_smaller_than_prompt() {
         assert_eq!(
             effective_context_size(600, &default_settings(), 4096, 4096, Some(700)),
             700
@@ -360,7 +378,7 @@ mod tests {
     fn test_effective_context_size_zero_limit_uses_train() {
         assert_eq!(
             effective_context_size(100, &default_settings(), 0, 2048, None),
-            612
+            2048
         );
     }
 

crates/goose/src/providers/local_inference/inference_native_tools.rs

@@ -33,12 +33,12 @@ pub(super) fn generate_with_native_tools(
                 tool_choice: None,
                 json_schema: None,
                 grammar: None,
-                reasoning_format: None,
+                reasoning_format: Some("auto"),
                 chat_template_kwargs: None,
                 add_generation_prompt: true,
                 use_jinja: true,
                 parallel_tool_calls: false,
-                enable_thinking: false,
+                enable_thinking: true,
                 add_bos: false,
                 add_eos: false,
                 parse_tool_calls: true,
@@ -134,6 +134,18 @@ pub(super) fn generate_with_native_tools(
                 Ok(deltas) => {
                     for delta_json in deltas {
                         if let Ok(delta) = serde_json::from_str::<Value>(&delta_json) {
+                            // Stream thinking/reasoning content
+                            if let Some(reasoning) =
+                                delta.get("reasoning_content").and_then(|v| v.as_str())
+                            {
+                                if !reasoning.is_empty() {
+                                    let mut msg = Message::assistant().with_thinking(reasoning, "");
+                                    msg.id = Some(message_id.to_string());
+                                    if tx.blocking_send(Ok((Some(msg), None))).is_err() {
+                                        return Ok(TokenAction::Stop);
+                                    }
+                                }
+                            }
                             // Stream content text to the UI
                             if let Some(content) = delta.get("content").and_then(|v| v.as_str()) {
                                 if !content.is_empty() {
@@ -181,6 +193,13 @@ pub(super) fn generate_with_native_tools(
     if let Ok(final_deltas) = stream_parser.update("", false) {
         for delta_json in final_deltas {
             if let Ok(delta) = serde_json::from_str::<Value>(&delta_json) {
+                if let Some(reasoning) = delta.get("reasoning_content").and_then(|v| v.as_str()) {
+                    if !reasoning.is_empty() {
+                        let mut msg = Message::assistant().with_thinking(reasoning, "");
+                        msg.id = Some(message_id.to_string());
+                        let _ = tx.blocking_send(Ok((Some(msg), None)));
+                    }
+                }
                 if let Some(content) = delta.get("content").and_then(|v| v.as_str()) {
                     if !content.is_empty() {
                         let mut msg = Message::assistant().with_text(content);

crates/goose/src/providers/local_inference/local_model_registry.rs

@@ -127,15 +127,16 @@ pub const FEATURED_MODELS: &[FeaturedModel] = &[
 
 pub fn default_settings_for_model(model_id: &str) -> ModelSettings {
     use super::hf_models::parse_model_spec;
-    let native = FEATURED_MODELS.iter().any(|m| {
+    let model_repo = model_id.split(':').next().unwrap_or(model_id);
-        if let Ok((repo_id, quant)) = parse_model_spec(m.spec) {
+    let featured = FEATURED_MODELS.iter().find(|m| {
-            model_id_from_repo(&repo_id, &quant) == model_id && m.native_tool_calling
+        if let Ok((repo_id, _quant)) = parse_model_spec(m.spec) {
+            repo_id == model_repo
         } else {
             false
         }
     });
     ModelSettings {
-        native_tool_calling: native,
+        native_tool_calling: featured.is_some_and(|m| m.native_tool_calling),
         ..ModelSettings::default()
     }
 }