Release v202611-00024

- New tool: image-to-3D (project file or an image attached to the chat,
  optional back/left/right views) or text-to-3D; image + prompt refines the
  image with the prompt first (the 3D models take no text with an image).
  Styles textured / geometry / lowpoly, optional PBR, face count. Runs through
  fal.ai's queue API with progress, saves GLB + preview, books the cost
  (published prices, overridable per model). Request bodies for the Hunyuan3D,
  Tripo and Trellis families; defaults [images] model_3d / model_3d_text.
- Chat card: "Open in the 3D view"; media overview: kind "model" (also
  STL/3MF/OBJ written by agents) with previews.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

CHANGELOG.md

@@ -3,6 +3,37 @@
 All notable changes to CodeCraft. Versions follow [Semantic Versioning](https://semver.org/);
 until 1.0, minor versions may contain breaking changes.
 
+## [v202611-00024] – 2026-11-12
+
+### Added
+
+- **3D models with fal.ai (`generate_3d`):** from an image (a project file or one pasted into the
+  chat, optional back/left/right views), from a text prompt, or from an image steered by a prompt
+  (the image is refined with the prompt first – the 3D models take no text with an image).
+  Styles textured, geometry (untextured, for 3D printing) and low-poly, optional PBR. Uses fal.ai's
+  queue (takes minutes, with progress), saves a GLB plus a preview image, books the cost.
+  Defaults: Hunyuan3D v3 image-to-3D / text-to-3D (`[images] model_3d`, `model_3d_text`); Tripo
+  and Trellis endpoints work too.
+- The chat card offers "Open in the 3D view"; the media overview lists 3D models (also STL/3MF
+  written by the agent) with their previews.
+
+## [v202611-00023] – 2026-11-12
+
+### Added
+
+- **Tokens and cost under every answer:** a small line under each answer of the model shows the
+  tokens sent/received and the cost of all requests of that turn.
+
+### Fixed
+
+- **Total cost of chats stopped growing (opencode Go):** opencode now reports plan requests as
+  "nothing charged" (cost 0, usage in `allowance`), and CodeCraft took the 0. Plan requests are
+  valued at the model's list prices again; earlier ones are corrected once on start.
+- **Saving opencode Go models failed after fetching prices** ("data did not match any variant of
+  untagged enum ModelEntry"): opencode lists cache prices per duration for some models
+  (`{"30m": …, "12h": …}`); the shortest duration is used now.
+- The chat title in the top bar no longer shrinks to a single letter when there are many chips.
+
 ## [v202611-00022] – 2026-11-11
 
 ### Added

README.md

@@ -11,7 +11,7 @@
 </p>
 
 <p align="center">
-  <img alt="Version v202611-00022" src="https://img.shields.io/badge/version-v202611--00022-d69e2e?style=flat-square">
+  <img alt="Version v202611-00024" src="https://img.shields.io/badge/version-v202611--00024-d69e2e?style=flat-square">
   <img alt="License: MIT" src="https://img.shields.io/badge/license-MIT-689d6a?style=flat-square">
   <img alt="Rust backend" src="https://img.shields.io/badge/backend-Rust-b7410e?style=flat-square&logo=rust">
   <img alt="React PWA" src="https://img.shields.io/badge/frontend-React%20PWA-2d81ff?style=flat-square&logo=react">
@@ -176,6 +176,10 @@ output limit, reasoning effort, extra request options and prices per million tok
 - **Images (fal.ai):** the agent drafts cheap previews (FLUX schnell), asks which one to
   refine, and creates the final image with the best model for the purpose – Nano Banana Pro
   refines the chosen draft, Ideogram handles lettering, Recraft design work.
+- **3D models (fal.ai):** `generate_3d` turns an image (also one pasted into the chat, plus
+  optional back/left/right views), a text prompt, or an image steered by a prompt into a GLB
+  model – textured, untextured for 3D printing, or low-poly (Hunyuan3D v3 by default,
+  `[images] model_3d` / `model_3d_text`). Open it in the 3D view of the file manager.
 
 ## Terminal client
 

core/src/config.rs

@@ -159,7 +159,13 @@ impl ModelConfig {
     /// Cost of one request now. Cache prices default to the input price.
     /// The provider's own figure wins when it reports one (opencode).
     pub fn cost(&self, u: &crate::types::Usage) -> f64 {
-        u.cost.unwrap_or_else(|| self.cost_at(u, chrono::Utc::now()))
+        match u.cost {
+            // A plan request (opencode Go): nothing charged, the usage counts toward the plan –
+            // its value at the model's list prices.
+            Some(c) if c == 0.0 && u.allowance.is_some_and(|a| a > 0.0) => self.cost_at(u, chrono::Utc::now()),
+            Some(c) => c,
+            None => self.cost_at(u, chrono::Utc::now()),
+        }
     }
 
     /// Cost of one request at a given time: context tiers and time factors applied.
@@ -187,6 +193,21 @@ mod price_tests {
         Usage { input_tokens: input, output_tokens: output, cache_read_tokens: read, ..Default::default() }
     }
 
+    #[test]
+    fn plan_requests_are_valued_at_list_prices() {
+        let m = ModelConfig { input_price: Some(1.0), output_price: Some(2.0), ..Default::default() };
+        let mut u = usage(1_000_000, 1_000_000, 0);
+        u.cost = Some(0.0);
+        u.allowance = Some(0.4);
+        assert_eq!(m.cost(&u), 3.0);
+        // Charged by the provider: that amount; free without a plan: free.
+        u.cost = Some(0.7);
+        assert_eq!(m.cost(&u), 0.7);
+        u.cost = Some(0.0);
+        u.allowance = None;
+        assert_eq!(m.cost(&u), 0.0);
+    }
+
     #[test]
     fn tiers_and_multipliers() {
         let m = ModelConfig {

server/src/api.rs

@@ -843,6 +843,19 @@ impl WindowQ {
     }
 }
 
+/// The cost of each answer for the chat view (usage.cost: charged, or valued at list prices).
+fn with_costs(app: &App, mut messages: Vec<crate::types::Message>) -> Vec<crate::types::Message> {
+    let registry = app.registry();
+    for m in &mut messages {
+        if let (Some(u), Some(spec)) = (m.usage.as_mut(), m.model.as_deref()) {
+            if let Ok((_, model)) = registry.resolve(spec) {
+                u.cost = Some(model.cost(u));
+            }
+        }
+    }
+    messages
+}
+
 async fn get_session(Extension(user): Extension<User>, State(app): State<AppState>, Path(id): Path<String>, Query(q): Query<WindowQ>) -> ApiResult {
     let s = readable(&app, &user, &id)?;
     let busy = app.is_busy(&id);
@@ -853,7 +866,7 @@ async fn get_session(Extension(user): Extension<User>, State(app): State<AppStat
     match q.window() {
         Some(w) => {
             let (messages, older, newer) = app.store.messages_window(&id, &w)?;
-            out["messages"] = json!(messages);
+            out["messages"] = json!(with_costs(&app, messages));
             out["has_older"] = json!(older);
             out["has_newer"] = json!(newer);
         }
@@ -867,7 +880,7 @@ async fn session_messages(Extension(user): Extension<User>, State(app): State<Ap
     readable(&app, &user, &id)?;
     let w = q.window().ok_or_else(|| ApiError(StatusCode::BAD_REQUEST, "before, after, around or limit is required".into()))?;
     let (messages, older, newer) = app.store.messages_window(&id, &w).map_err(|e| ApiError(StatusCode::NOT_FOUND, format!("{e:#}")))?;
-    Ok(Json(json!({"messages": messages, "has_older": older, "has_newer": newer})))
+    Ok(Json(json!({"messages": with_costs(&app, messages), "has_older": older, "has_newer": newer})))
 }
 
 /// Images, videos and audio files shown in a chat (all of it, with subagents).

server/src/app.rs

@@ -144,6 +144,11 @@ impl App {
                 Ok(n) => tracing::info!("moved {n} images of older chats to the image store"),
                 Err(e) => tracing::warn!("moving images to the image store: {e:#}"),
             }
+            match crate::budget::value_plan_requests(&self) {
+                Ok(0) => {}
+                Ok(n) => tracing::info!("valued {n} plan requests (opencode Go) at list prices"),
+                Err(e) => tracing::warn!("valuing plan requests: {e:#}"),
+            }
             match crate::images::backfill_copies(&self) {
                 Ok(0) => {}
                 Ok(n) => tracing::info!("kept copies of {n} generated images in the image store"),

server/src/budget.rs

@@ -361,6 +361,49 @@ fn opencode_when(w: &Value) -> Option<When> {
     Some((days, hours, from, until))
 }
 
+/// Plan requests (opencode Go) that were booked at 0: value them at the model's list
+/// prices of the time of the request. Idempotent – valued rows no longer match.
+pub fn value_plan_requests(app: &App) -> Result<usize> {
+    let mut n = 0;
+    for (row, ts, spec, usage) in app.store.plan_requests_without_cost()? {
+        let Ok((_, model)) = app.registry().resolve(&spec) else { continue };
+        let Some(at) = chrono::DateTime::from_timestamp_millis(ts) else { continue };
+        let cost = model.cost_at(&usage, at);
+        if cost > 0.0 {
+            app.store.set_usage_cost(row, cost)?;
+            n += 1;
+        }
+    }
+    Ok(n)
+}
+
+/// A price from opencode's list: a number, or one price per cache duration
+/// (`{"30m": 0.125, "12h": 0.25}`) – then the shortest duration (the default caching).
+fn price_of(v: &Value) -> Value {
+    match v {
+        Value::Number(_) => v.clone(),
+        Value::Object(o) => {
+            let secs = |k: &str| -> Option<f64> {
+                let (num, unit) = k.split_at(k.find(|c: char| c.is_ascii_alphabetic())?);
+                let n: f64 = num.parse().ok()?;
+                Some(n * match unit {
+                    "s" => 1.0,
+                    "m" => 60.0,
+                    "h" => 3600.0,
+                    "d" => 86400.0,
+                    _ => return None,
+                })
+            };
+            o.iter()
+                .filter(|(_, x)| x.is_number())
+                .min_by(|a, b| secs(a.0).unwrap_or(f64::MAX).total_cmp(&secs(b.0).unwrap_or(f64::MAX)))
+                .map(|(_, x)| x.clone())
+                .unwrap_or(Value::Null)
+        }
+        _ => Value::Null,
+    }
+}
+
 /// Model row from opencode's model list (prices per 1M tokens, tiers, time factors).
 fn opencode_model(m: &Value) -> Value {
     let cost = &m["cost"]["text"];
@@ -371,13 +414,13 @@ fn opencode_model(m: &Value) -> Value {
         for o in side["overrides"].as_array().into_iter().flatten() {
             let Some(gt) = o["when"]["context"]["gt"].as_u64() else { continue };
             let t = tiers.entry(gt).or_default();
-            t.insert(field.into(), o["price"].clone());
+            t.insert(field.into(), price_of(&o["price"]));
             if field == "input_price" {
-                if o["cache"]["read"].is_number() {
-                    t.insert("cache_read_price".into(), o["cache"]["read"].clone());
+                for (key, k) in [("read", "cache_read_price"), ("write", "cache_write_price")] {
+                    let p = price_of(&o["cache"][key]);
+                    if !p.is_null() {
+                        t.insert(k.into(), p);
                     }
-                if o["cache"]["write"].is_number() {
-                    t.insert("cache_write_price".into(), o["cache"]["write"].clone());
                 }
             }
         }
@@ -412,10 +455,10 @@ fn opencode_model(m: &Value) -> Value {
         "max_input": m["limit"]["input"],
         "vision": images,
         "reasoning": m["capabilities"]["reasoning"]["supported"].as_bool().unwrap_or(false),
-        "input_price": input["price"],
-        "output_price": output["price"],
-        "cache_read_price": input["cache"]["read"],
-        "cache_write_price": input["cache"]["write"],
+        "input_price": price_of(&input["price"]),
+        "output_price": price_of(&output["price"]),
+        "cache_read_price": price_of(&input["cache"]["read"]),
+        "cache_write_price": price_of(&input["cache"]["write"]),
         "price_tiers": price_tiers,
         "price_multipliers": price_multipliers,
         "notes": notes,
@@ -481,6 +524,25 @@ pub async fn discover_prices(app: &App, provider: &str) -> Result<Value> {
 
 #[cfg(test)]
 mod tests {
+    #[test]
+    fn prices_per_cache_duration() {
+        use super::{opencode_model, price_of};
+        use serde_json::{Value, json};
+        assert_eq!(price_of(&json!(0.5)), json!(0.5));
+        assert_eq!(price_of(&json!({"12h": 0.25, "30m": 0.125})), json!(0.125));
+        assert_eq!(price_of(&json!({"1h": 2.0, "5m": 1.25})), json!(1.25));
+        assert_eq!(price_of(&Value::Null), Value::Null);
+        // A model of opencode's list with per-duration cache write prices.
+        let m = json!({"id": "gpt-6-luna", "limit": {"context": 1050000, "input": 922000, "output": 128000},
+            "cost": {"text": {"input": {"price": 0.1, "cache": {"read": 0.01, "write": {"30m": 0.125, "12h": 0.25}},
+                "overrides": [{"when": {"context": {"gt": 272000}}, "price": 0.2, "cache": {"read": 0.02, "write": {"30m": 0.25, "12h": 0.5}}}]},
+                "output": {"price": 0.5, "overrides": [{"when": {"context": {"gt": 272000}}, "price": 0.75}]}}}});
+        let row = opencode_model(&m);
+        assert_eq!(row["cache_write_price"], json!(0.125));
+        assert_eq!(row["price_tiers"][0]["cache_write_price"], json!(0.25));
+        assert_eq!(row["max_input"], json!(922000));
+    }
+
     #[test]
     fn opencode_cost_conversion() {
         let m: serde_json::Value = serde_json::from_str(r#"{"id":"grok","limit":{"context":500000,"output":8000},

server/src/config.rs

@@ -177,6 +177,19 @@ pub struct ImagesConfig {
     /// Optional fal.ai Admin key to query the account balance.
     #[serde(default, skip_serializing_if = "String::is_empty")]
     pub admin_key: String,
+    /// fal.ai model for 3D models from images (generate_3d).
+    #[serde(default = "default_model_3d")]
+    pub model_3d: String,
+    /// fal.ai model for 3D models from a text prompt only.
+    #[serde(default = "default_model_3d_text")]
+    pub model_3d_text: String,
+}
+
+fn default_model_3d() -> String {
+    "fal-ai/hunyuan3d-v3/image-to-3d".into()
+}
+fn default_model_3d_text() -> String {
+    "fal-ai/hunyuan3d-v3/text-to-3d".into()
 }
 
 #[derive(Debug, Clone, Deserialize, Serialize, Default)]
@@ -215,6 +228,8 @@ impl Default for ImagesConfig {
             models: vec![ImageModel { id: "fal-ai/flux/schnell".into(), name: Some("FLUX.1 schnell".into()), price: Some(0.003), ..Default::default() }],
             monthly_budget: None,
             admin_key: String::new(),
+            model_3d: default_model_3d(),
+            model_3d_text: default_model_3d_text(),
         }
     }
 }

server/src/images.rs

@@ -38,7 +38,7 @@ pub struct GenerateRequest {
     pub references: Vec<PathBuf>,
 }
 
-fn slug(s: &str) -> String {
+pub(crate) fn slug(s: &str) -> String {
     let mut out: String = s
         .chars()
         .map(|c| if c.is_ascii_alphanumeric() { c.to_ascii_lowercase() } else { '-' })
@@ -121,7 +121,7 @@ fn pick(all: &[ImageModel], stage: &str, purpose: Option<&str>, with_reference:
 }
 
 /// Read local reference images as data URIs (fal.ai accepts them in place of URLs).
-async fn reference_uris(paths: &[PathBuf]) -> Result<Vec<String>> {
+pub(crate) async fn reference_uris(paths: &[PathBuf]) -> Result<Vec<String>> {
     let mut out = Vec::new();
     for p in paths {
         let bytes = tokio::fs::read(p).await.with_context(|| format!("reference image {}", p.display()))?;
@@ -135,7 +135,7 @@ async fn reference_uris(paths: &[PathBuf]) -> Result<Vec<String>> {
     Ok(out)
 }
 
-async fn download(url: &str) -> Result<(Vec<u8>, String)> {
+pub(crate) async fn download(url: &str) -> Result<(Vec<u8>, String)> {
     if let Some(rest) = url.strip_prefix("data:") {
         let (meta, data) = rest.split_once(',').context("malformed data URI")?;
         let ctype = meta.split(';').next().unwrap_or("image/png").to_string();
@@ -348,7 +348,7 @@ pub fn backfill_copies(app: &App) -> Result<usize> {
 }
 
 /// Downscaled copy for the model's context.
-fn preview_for_model(path: &Path) -> Option<ImageData> {
+pub(crate) fn preview_for_model(path: &Path) -> Option<ImageData> {
     let img = image::open(path).ok()?;
     let img = img.resize(1024, 1024, image::imageops::FilterType::Triangle);
     let mut buf = Vec::new();

server/src/main.rs

@@ -23,6 +23,7 @@ mod mentions;
 mod metrics;
 mod mcp;
 mod media;
+mod mesh3d;
 mod permission;
 mod prompts;
 mod push;

server/src/media.rs

@@ -11,7 +11,7 @@ use std::path::{Path, PathBuf};
 
 #[derive(Debug, Serialize, PartialEq)]
 pub struct MediaItem {
-    /// "image", "video" or "audio".
+    /// "image", "video", "audio" or "model" (3D).
     pub kind: &'static str,
     pub url: String,
     pub name: String,
@@ -21,11 +21,17 @@ pub struct MediaItem {
     /// Message to jump to (only for messages of the chat itself, not of subagents).
     #[serde(skip_serializing_if = "Option::is_none")]
     pub message_id: Option<String>,
+    /// 3D models: absolute path (opened in the 3D view) and a preview image.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub path: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub preview: Option<String>,
 }
 
 const IMAGE: &[&str] = &["png", "jpg", "jpeg", "gif", "webp", "svg", "bmp", "avif"];
 const VIDEO: &[&str] = &["mp4", "webm", "mov", "m4v", "ogv"];
 const AUDIO: &[&str] = &["mp3", "wav", "ogg", "oga", "m4a", "flac", "opus", "aac"];
+const MODEL: &[&str] = &["glb", "gltf", "stl", "3mf", "obj", "step", "stp"];
 
 /// Kind of a media file by its extension.
 pub fn kind_of(path: &str) -> Option<&'static str> {
@@ -36,6 +42,8 @@ pub fn kind_of(path: &str) -> Option<&'static str> {
         Some("video")
     } else if AUDIO.contains(&ext.as_str()) {
         Some("audio")
+    } else if MODEL.contains(&ext.as_str()) {
+        Some("model")
     } else {
         None
     }
@@ -118,7 +126,7 @@ pub fn collect(app: &App, session_id: &str) -> anyhow::Result<Vec<MediaItem>> {
     // Generated images whose tool result was not found (e.g. removed by a rewind).
     for img in app.store.images_of_sessions(&sessions)? {
         push(
-            MediaItem { kind: "image", url: format!("/api/images/{}/file", img.id), name: file_name(&img.path), source: "generated", created_at: img.created_at, message_id: None },
+            MediaItem { kind: "image", url: format!("/api/images/{}/file", img.id), name: file_name(&img.path), source: "generated", created_at: img.created_at, message_id: None, path: None, preview: None },
             &mut out,
         );
     }
@@ -133,6 +141,10 @@ pub fn collect(app: &App, session_id: &str) -> anyhow::Result<Vec<MediaItem>> {
     Ok(out)
 }
 
+fn raw_url(p: &Path) -> String {
+    format!("/api/files/raw?path={}", encode(&p.display().to_string()))
+}
+
 fn file_name(p: &str) -> String {
     Path::new(p).file_name().and_then(|n| n.to_str()).unwrap_or(p).to_string()
 }
@@ -144,25 +156,33 @@ fn collect_message(m: &Message, cwd: &Path, own: bool, call_msg: Option<&str>, a
     let file = |p: &str, source: &'static str| -> Option<MediaItem> {
         let kind = kind_of(p)?;
         let abs = resolve(p, cwd);
-        abs.is_file().then(|| MediaItem { kind, url: format!("/api/files/raw?path={}", encode(&abs.display().to_string())), name: file_name(p), source, created_at: at, message_id: mid.clone() })
+        abs.is_file().then(|| MediaItem { kind, url: raw_url(&abs), name: file_name(p), source, created_at: at, message_id: mid.clone(), path: Some(abs.display().to_string()), preview: None })
     };
     for p in &m.parts {
         match p {
             Part::Image { image } if m.role == Role::User => {
                 if let Some(h) = &image.blob {
-                    add(MediaItem { kind: kind_of_mime(&image.media_type), url: format!("/api/blobs/{h}"), name: "image".into(), source: "upload", created_at: at, message_id: mid.clone() });
+                    add(MediaItem { kind: kind_of_mime(&image.media_type), url: format!("/api/blobs/{h}"), name: "image".into(), source: "upload", created_at: at, message_id: mid.clone(), path: None, preview: None });
+                }
+            }
+            // generate_3d: the model with its preview (not the preview as a separate image).
+            Part::ToolResult { meta: Some(meta), .. } if meta["model_file"].is_string() => {
+                let file = PathBuf::from(meta["model_file"].as_str().unwrap_or_default());
+                if file.is_file() {
+                    let preview = meta["preview"].as_str().map(PathBuf::from).filter(|p| p.is_file()).map(|p| raw_url(&p));
+                    add(MediaItem { kind: "model", url: raw_url(&file), name: file_name(&file.display().to_string()), source: "generated", created_at: at, message_id: result_mid.clone(), path: Some(file.display().to_string()), preview });
                 }
             }
             Part::ToolResult { images, meta, .. } => {
                 let ids: Vec<&str> = meta.as_ref().and_then(|v| v["image_ids"].as_array()).map(|a| a.iter().filter_map(Value::as_str).collect()).unwrap_or_default();
                 if !ids.is_empty() {
                     for id in ids {
-                        add(MediaItem { kind: "image", url: format!("/api/images/{id}/file"), name: "image".into(), source: "generated", created_at: at, message_id: result_mid.clone() });
+                        add(MediaItem { kind: "image", url: format!("/api/images/{id}/file"), name: "image".into(), source: "generated", created_at: at, message_id: result_mid.clone(), path: None, preview: None });
                     }
                 } else {
                     for img in images {
                         if let Some(h) = &img.blob {
-                            add(MediaItem { kind: kind_of_mime(&img.media_type), url: format!("/api/blobs/{h}"), name: "screenshot".into(), source: "tool", created_at: at, message_id: result_mid.clone() });
+                            add(MediaItem { kind: kind_of_mime(&img.media_type), url: format!("/api/blobs/{h}"), name: "screenshot".into(), source: "tool", created_at: at, message_id: result_mid.clone(), path: None, preview: None });
                         }
                     }
                 }

server/src/mesh3d.rs

@@ -0,0 +1,430 @@
+//! 3D models with fal.ai (generate_3d): from an image (plus optional back/left/right
+//! views), from a text prompt, or from an image steered by text – the 3D models take no
+//! text with an image, so the image is first refined with the prompt (image edit model)
+//! and then converted. The result is a GLB file (plus a preview image) in the project.
+
+use crate::app::App;
+use crate::config::expand_env;
+use crate::store::UsageRecord;
+use crate::tools::{Tool, ToolCtx, ToolOutput};
+use crate::types::now_ms;
+use anyhow::{Context, Result, anyhow, bail};
+use async_trait::async_trait;
+use serde_json::{Value, json};
+use std::path::{Path, PathBuf};
+use std::time::Duration;
+
+const STYLES: &[&str] = &["textured", "geometry", "lowpoly"];
+
+/// Request body for a fal.ai 3D endpoint (the families name their fields differently).
+fn request_body(model: &str, prompt: Option<&str>, images: &Views, style: &str, pbr: bool, faces: Option<u64>) -> Value {
+    let mut b = json!({});
+    if model.contains("tripo") {
+        // Tripo: image_url / prompt, texture + pbr flags, face_limit.
+        if let Some(front) = &images.front {
+            b["image_url"] = json!(front);
+        }
+        if let Some(p) = prompt {
+            b["prompt"] = json!(p);
+        }
+        b["texture"] = json!(style != "geometry");
+        b["pbr"] = json!(style != "geometry" && pbr);
+        if let Some(f) = faces {
+            b["face_limit"] = json!(f);
+        }
+        if style == "lowpoly" {
+            b["face_limit"] = json!(faces.unwrap_or(20_000));
+        }
+    } else if model.contains("trellis") {
+        if let Some(front) = &images.front {
+            b["image_url"] = json!(front);
+        }
+    } else {
+        // Hunyuan3D: front + optional views, generate_type, enable_pbr, face_count.
+        if let Some(front) = &images.front {
+            b["input_image_url"] = json!(front);
+        }
+        for (k, v) in [("back_image_url", &images.back), ("left_image_url", &images.left), ("right_image_url", &images.right)] {
+            if let Some(v) = v {
+                b[k] = json!(v);
+            }
+        }
+        if let Some(p) = prompt {
+            b["prompt"] = json!(p);
+        }
+        b["generate_type"] = json!(match style {
+            "geometry" => "Geometry",
+            "lowpoly" => "LowPoly",
+            _ => "Normal",
+        });
+        b["enable_pbr"] = json!(style != "geometry" && pbr);
+        if let Some(f) = faces {
+            b["face_count"] = json!(f.clamp(40_000, 1_500_000));
+        }
+    }
+    b
+}
+
+/// Data URIs of the views (front required for image-to-3D).
+#[derive(Default)]
+struct Views {
+    front: Option<String>,
+    back: Option<String>,
+    left: Option<String>,
+    right: Option<String>,
+}
+
+impl Views {
+    fn extra(&self) -> usize {
+        [&self.back, &self.left, &self.right].iter().filter(|v| v.is_some()).count()
+    }
+}
+
+/// Price of one generation (USD) by the published fal.ai prices; a price configured for
+/// the model under [images] models wins.
+fn price(app: &App, model: &str, style: &str, pbr: bool, multiview: bool, faces: bool) -> f64 {
+    if let Some(p) = app.config().images.models.iter().find(|m| m.id == model).and_then(|m| m.price) {
+        return p;
+    }
+    if model.contains("tripo") {
+        return match style {
+            "geometry" => 0.20,
+            _ => 0.30,
+        };
+    }
+    if model.contains("hunyuan") {
+        let base = match style {
+            "geometry" => 0.225,
+            "lowpoly" => 0.45,
+            _ => 0.375,
+        };
+        let extras = [pbr && style != "geometry", multiview, faces].iter().filter(|x| **x).count() as f64;
+        return base + 0.15 * extras;
+    }
+    0.0
+}
+
+/// URL of the queue API for fal.ai (requests that take minutes).
+fn queue_base(app: &App) -> String {
+    let base = expand_env(&app.config().images.base_url);
+    if base.contains("://fal.run") { "https://queue.fal.run".into() } else { base.trim_end_matches('/').to_string() }
+}
+
+/// Submit to fal.ai's queue and wait for the result, reporting progress.
+async fn run_queued(app: &App, ctx: &ToolCtx, model: &str, body: &Value) -> Result<Value> {
+    let key = expand_env(&app.config().images.api_key);
+    let client = crate::provider::http_client();
+    let submit = client
+        .post(format!("{}/{}", queue_base(app), model.trim_matches('/')))
+        .header("Authorization", format!("Key {key}"))
+        .timeout(Duration::from_secs(120))
+        .json(body)
+        .send()
+        .await
+        .context("fal.ai request failed")?;
+    if !submit.status().is_success() {
+        return Err(crate::provider::http_error(submit).await);
+    }
+    let sub: Value = submit.json().await?;
+    let status_url = sub["status_url"].as_str().context("fal.ai: no status_url")?.to_string();
+    let response_url = sub["response_url"].as_str().context("fal.ai: no response_url")?.to_string();
+    let started = std::time::Instant::now();
+    loop {
+        if ctx.cancel.is_cancelled() {
+            bail!("cancelled");
+        }
+        if started.elapsed() > Duration::from_secs(20 * 60) {
+            bail!("fal.ai did not finish within 20 minutes");
+        }
+        tokio::time::sleep(Duration::from_secs(4)).await;
+        let st: Value = client.get(&status_url).header("Authorization", format!("Key {key}")).timeout(Duration::from_secs(30)).send().await?.json().await?;
+        match st["status"].as_str().unwrap_or("") {
+            "COMPLETED" => break,
+            "IN_QUEUE" => ctx.progress(format!("waiting in fal.ai's queue (position {}) – {} s", st["queue_position"].as_u64().unwrap_or(0), started.elapsed().as_secs())),
+            "IN_PROGRESS" => ctx.progress(format!("generating the 3D model – {} s", started.elapsed().as_secs())),
+            other => bail!("fal.ai: unexpected status {other}: {st}"),
+        }
+    }
+    let resp = client.get(&response_url).header("Authorization", format!("Key {key}")).timeout(Duration::from_secs(60)).send().await?;
+    if !resp.status().is_success() {
+        return Err(crate::provider::http_error(resp).await);
+    }
+    Ok(resp.json().await?)
+}
+
+/// URL of the mesh and of the preview image in a fal.ai 3D result.
+fn result_urls(out: &Value) -> (Option<String>, Option<String>) {
+    let s = |v: &Value| v.as_str().map(String::from);
+    let mesh = s(&out["model_glb"]["url"])
+        .or_else(|| s(&out["model_mesh"]["url"]))
+        .or_else(|| s(&out["model_urls"]["glb"]["url"]))
+        .or_else(|| s(&out["model_file"]["url"]))
+        .or_else(|| s(&out["mesh"]["url"]));
+    let thumb = s(&out["thumbnail"]["url"]).or_else(|| s(&out["rendered_image"]["url"]));
+    (mesh, thumb)
+}
+
+/// File extension of a downloaded mesh: from the URL, else GLB (what the models return).
+fn ext_of(url: &str) -> &'static str {
+    let path = url.split(['?', '#']).next().unwrap_or(url).to_ascii_lowercase();
+    ["glb", "gltf", "fbx", "obj", "usdz", "stl"].into_iter().find(|e| path.ends_with(&format!(".{e}"))).unwrap_or("glb")
+}
+
+/// An image the user attached to the chat ("attached" = the first image of the latest
+/// message with images, "attached:2" = its second), written to `dir` so it can be used
+/// like a project file.
+async fn attached_image(app: &App, session_id: &str, spec: &str, dir: &Path) -> Result<PathBuf> {
+    let n: usize = spec.strip_prefix("attached").map(|r| r.trim_start_matches(':').trim()).filter(|r| !r.is_empty()).map(|r| r.parse()).transpose().map_err(|_| anyhow!("use \"attached\" or \"attached:2\""))?.unwrap_or(1);
+    let root = app.root_session_id(session_id);
+    let messages = app.store.messages(&root)?;
+    let images: Vec<crate::types::ImageData> = messages
+        .iter()
+        .rev()
+        .filter(|m| m.role == crate::types::Role::User)
+        .map(|m| m.parts.iter().filter_map(|p| if let crate::types::Part::Image { image } = p { Some(image.clone()) } else { None }).collect::<Vec<_>>())
+        .find(|imgs| !imgs.is_empty())
+        .ok_or_else(|| anyhow!("no image attached to this chat"))?;
+    let img = images.get(n.saturating_sub(1)).ok_or_else(|| anyhow!("the latest message has only {} image(s)", images.len()))?;
+    let (mime, bytes) = match &img.blob {
+        Some(h) => app.store.blob(h)?.ok_or_else(|| anyhow!("attached image not found"))?,
+        None => (img.media_type.clone(), base64::Engine::decode(&base64::engine::general_purpose::STANDARD, img.data.as_bytes())?),
+    };
+    let ext = match mime.as_str() {
+        "image/jpeg" => "jpg",
+        "image/webp" => "webp",
+        _ => "png",
+    };
+    tokio::fs::create_dir_all(dir).await?;
+    let path = dir.join(format!("{}-attached-{n}.{ext}", chrono::Local::now().format("%Y%m%d-%H%M%S")));
+    tokio::fs::write(&path, &bytes).await?;
+    Ok(path)
+}
+
+/// An image argument: a project file, or an image attached to the chat.
+async fn image_arg(ctx: &ToolCtx, spec: &str, dir: &Path) -> Result<PathBuf> {
+    if spec.starts_with("attached") {
+        attached_image(&ctx.app, &ctx.session_id, spec, dir).await
+    } else {
+        ctx.resolve(spec)
+    }
+}
+
+pub struct Generate3d;
+
+#[async_trait]
+impl Tool for Generate3d {
+    fn name(&self) -> &str {
+        "generate_3d"
+    }
+    fn description(&self) -> String {
+        "Generate a 3D model (GLB) with fal.ai and save it in the project – from an image of the \
+         object (a file, or image: \"attached\" for an image the user pasted into the chat; best: a \
+         clean front view; optional back/left/right views improve the shape), from a \
+         text prompt alone, or from an image steered by a prompt (the image is refined with the \
+         prompt first, then converted). style: \"textured\" (default), \"geometry\" (untextured – for \
+         3D printing), \"lowpoly\" (games). Takes one to several minutes and costs money (about \
+         $0.25–0.75): generate only what the user asked for. The user can open the model in the 3D \
+         view of the file manager."
+            .into()
+    }
+    fn schema(&self) -> Value {
+        json!({
+            "type": "object",
+            "properties": {
+                "prompt": {"type": "string", "description": "What the model should be (English). With an image: how to change/clean it up before the conversion."},
+                "image": {"type": "string", "description": "Image of the object (front view): a file path, or \"attached\" for the image the user attached to the chat (\"attached:2\" = the second of that message)"},
+                "back": {"type": "string", "description": "Optional back view image (path or \"attached:N\")"},
+                "left": {"type": "string", "description": "Optional left view image (path or \"attached:N\")"},
+                "right": {"type": "string", "description": "Optional right view image (path or \"attached:N\")"},
+                "style": {"type": "string", "enum": STYLES},
+                "pbr": {"type": "boolean", "description": "PBR materials (metal/roughness), textured models only; costs extra"},
+                "face_count": {"type": "integer", "description": "Target number of faces (optional)"},
+                "directory": {"type": "string", "description": "Target directory relative to the working directory (default: <images.output_dir>/3d)"},
+                "model": {"type": "string", "description": "fal.ai model id – only if the user asks for a specific one"}
+            }
+        })
+    }
+    fn title(&self, input: &Value) -> String {
+        let what = input["prompt"].as_str().map(|p| p.chars().take(70).collect::<String>()).or_else(|| input["image"].as_str().map(String::from)).unwrap_or_default();
+        format!("3D model: {what}")
+    }
+    fn read_only(&self) -> bool {
+        false
+    }
+    async fn run(&self, input: Value, ctx: &ToolCtx) -> Result<ToolOutput> {
+        let app = ctx.app.clone();
+        let cfg = app.config();
+        if !cfg.images.enabled {
+            bail!("fal.ai is disabled – enable image generation in the settings");
+        }
+        if expand_env(&cfg.images.api_key).is_empty() {
+            bail!("no fal.ai API key configured");
+        }
+        let owner = app.session(&ctx.session_id).ok().and_then(|s| s.owner_id);
+        crate::budget::check(&app, "fal", owner.as_deref())?;
+        let prompt = input["prompt"].as_str().map(str::trim).filter(|p| !p.is_empty()).map(String::from);
+        let dir_arg = input["directory"].as_str().map(String::from).unwrap_or_else(|| format!("{}/3d", cfg.images.output_dir.trim_end_matches('/')));
+        let dir = ctx.resolve(&dir_arg)?;
+        let image = match input["image"].as_str() {
+            Some(spec) => Some(image_arg(ctx, spec, &dir).await?),
+            None => None,
+        };
+        if prompt.is_none() && image.is_none() {
+            bail!("give an image of the object, a prompt, or both");
+        }
+        let style = input["style"].as_str().filter(|s| STYLES.contains(s)).unwrap_or("textured");
+        let pbr = input["pbr"].as_bool().unwrap_or(false);
+        let faces = input["face_count"].as_u64();
+        let mut notes = Vec::new();
+
+        // Image + prompt: refine the image with the prompt first (3D models take no text).
+        let mut front = image.clone();
+        if let (Some(img), Some(p)) = (&image, &prompt) {
+            ctx.progress("refining the image with the prompt");
+            let edit = crate::images::choose_model(&app, "final", Some("illustration"), true);
+            if edit.reference_param.is_some() {
+                let records = crate::images::generate(
+                    &app,
+                    crate::images::GenerateRequest {
+                        prompt: format!(
+                            "{p}. Show exactly one object, complete and centered, as a clean product shot: plain light neutral background, soft even lighting, no text, no other objects."
+                        ),
+                        model: Some(edit.id.clone()),
+                        size: None,
+                        count: 1,
+                        dir: dir.clone(),
+                        user_id: owner.clone(),
+                        session_id: Some(ctx.session_id.clone()),
+                        references: vec![img.clone()],
+                    },
+                )
+                .await
+                .map_err(|e| anyhow!("refining the image failed: {e:#}"))?;
+                if let Some(r) = records.first() {
+                    front = Some(PathBuf::from(&r.path));
+                    notes.push(format!("Refined image: {}", rel(&r.path, &ctx.cwd)));
+                }
+            } else {
+                notes.push("No image edit model configured – the prompt was not applied to the image.".into());
+            }
+        }
+
+        let mut views = Views::default();
+        if let Some(f) = &front {
+            views.front = crate::images::reference_uris(std::slice::from_ref(f)).await?.pop();
+            for (field, slot) in [("back", &mut views.back), ("left", &mut views.left), ("right", &mut views.right)] {
+                if let Some(p) = input[field].as_str() {
+                    *slot = crate::images::reference_uris(&[image_arg(ctx, p, &dir).await?]).await?.pop();
+                }
+            }
+        }
+        let model = input["model"].as_str().filter(|m| !m.is_empty()).map(String::from).unwrap_or_else(|| if front.is_some() { cfg.images.model_3d.clone() } else { cfg.images.model_3d_text.clone() });
+        if views.extra() > 0 && !model.contains("hunyuan") {
+            notes.push("This model takes only the front view; the other views were not used.".into());
+        }
+        let text = if front.is_none() { prompt.as_deref() } else { None };
+        let body = request_body(&model, text, &views, style, pbr, faces);
+        ctx.progress(format!("sending to {model}"));
+        let out = run_queued(&app, ctx, &model, &body).await?;
+        let (mesh_url, thumb_url) = result_urls(&out);
+        let mesh_url = mesh_url.ok_or_else(|| anyhow!("fal.ai returned no 3D model: {}", out.to_string().chars().take(300).collect::<String>()))?;
+
+        tokio::fs::create_dir_all(&dir).await?;
+        let stamp = chrono::Local::now().format("%Y%m%d-%H%M%S");
+        // Named after the prompt, else the image (without a time stamp it already carries).
+        let stem = image.as_ref().and_then(|p| p.file_stem()).and_then(|s| s.to_str()).unwrap_or("model");
+        let stem = if stem.len() > 16 && stem.as_bytes()[8] == b'-' && stem[..8].bytes().all(|b| b.is_ascii_digit()) { &stem[16..] } else { stem };
+        let base = crate::images::slug(prompt.as_deref().unwrap_or(stem).trim_start_matches('-'));
+        let (bytes, _) = crate::images::download(&mesh_url).await?;
+        let mesh_path = dir.join(format!("{stamp}-{base}.{}", ext_of(&mesh_url)));
+        tokio::fs::write(&mesh_path, &bytes).await?;
+        let mut thumb_path = None;
+        if let Some(t) = thumb_url {
+            if let Ok((tb, _)) = crate::images::download(&t).await {
+                let p = dir.join(format!("{stamp}-{base}-preview.png"));
+                if tokio::fs::write(&p, &tb).await.is_ok() {
+                    thumb_path = Some(p);
+                }
+            }
+        }
+
+        // Cost into the statistics (provider "fal", like images).
+        let cost = price(&app, &model, style, pbr, views.extra() > 0 && model.contains("hunyuan"), faces.is_some());
+        let session = ctx.session_id.clone();
+        let _ = app.store.add_usage(&UsageRecord {
+            ts: now_ms(),
+            session_id: session.clone(),
+            root_session_id: app.root_session_id(&session),
+            provider: "fal".into(),
+            model: model.clone(),
+            agent: "3d".into(),
+            input_tokens: 0,
+            output_tokens: 0,
+            cache_read_tokens: 0,
+            cache_write_tokens: 0,
+            ttft_ms: 0,
+            duration_ms: 0,
+            cost,
+            error: false,
+            user_id: owner,
+            allowance: None,
+        });
+
+        let mesh_rel = rel(&mesh_path.display().to_string(), &ctx.cwd);
+        let mut text = format!("3D model ({model}, {style}{}): {mesh_rel} ({} KB)", if pbr && style != "geometry" { ", PBR" } else { "" }, bytes.len() / 1024);
+        if let Some(t) = &thumb_path {
+            text.push_str(&format!("\nPreview: {}", rel(&t.display().to_string(), &ctx.cwd)));
+        }
+        if cost > 0.0 {
+            text.push_str(&format!("\nCost: about ${cost:.2}"));
+        }
+        for n in &notes {
+            text.push_str(&format!("\n{n}"));
+        }
+        text.push_str("\nThe user can open the model in the 3D view of the file manager.");
+        let images = thumb_path.as_deref().and_then(crate::images::preview_for_model).into_iter().collect();
+        Ok(ToolOutput {
+            content: text,
+            images,
+            meta: Some(json!({
+                "model_file": mesh_path.display().to_string(),
+                "preview": thumb_path.map(|p| p.display().to_string()),
+            })),
+            ..Default::default()
+        })
+    }
+}
+
+fn rel(path: &str, cwd: &Path) -> String {
+    Path::new(path).strip_prefix(cwd).map(|p| p.display().to_string()).unwrap_or_else(|_| path.to_string())
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn bodies_per_model_family() {
+        let views = Views { front: Some("data:a".into()), back: Some("data:b".into()), ..Default::default() };
+        let h = request_body("fal-ai/hunyuan3d-v3/image-to-3d", None, &views, "geometry", true, Some(10));
+        assert_eq!(h["input_image_url"], "data:a");
+        assert_eq!(h["back_image_url"], "data:b");
+        assert_eq!(h["generate_type"], "Geometry");
+        assert_eq!(h["enable_pbr"], false);
+        assert_eq!(h["face_count"], 40_000);
+        let t = request_body("tripo3d/h3.1/image-to-3d", None, &views, "textured", true, None);
+        assert_eq!((t["image_url"].as_str(), t["texture"].as_bool(), t["pbr"].as_bool()), (Some("data:a"), Some(true), Some(true)));
+        let txt = request_body("fal-ai/hunyuan3d-v3/text-to-3d", Some("a chair"), &Views::default(), "textured", false, None);
+        assert_eq!((txt["prompt"].as_str(), txt["generate_type"].as_str()), (Some("a chair"), Some("Normal")));
+    }
+
+    #[test]
+    fn result_urls_of_the_families() {
+        let h = json!({"model_glb": {"url": "https://x/m.glb"}, "thumbnail": {"url": "https://x/t.png"}});
+        assert_eq!(result_urls(&h), (Some("https://x/m.glb".into()), Some("https://x/t.png".into())));
+        let t = json!({"model_mesh": {"url": "https://x/m.glb"}, "rendered_image": {"url": "https://x/r.webp"}});
+        assert_eq!(result_urls(&t).1.as_deref(), Some("https://x/r.webp"));
+        assert_eq!(ext_of("https://x/a.FBX?sig=1"), "fbx");
+        assert_eq!(ext_of("https://x/blob"), "glb");
+    }
+}

server/src/runner.rs

@@ -215,7 +215,7 @@ pub fn available_tools(app: &App, agent: &Agent, owner: Option<&crate::store::Us
     let cfg = app.config();
     let mut all = tools::builtin_tools();
     if !cfg.images.enabled {
-        all.retain(|t| t.name() != "generate_image");
+        all.retain(|t| t.name() != "generate_image" && t.name() != "generate_3d");
     }
     let (direct, deferred) = app.mcp.tools(&cfg, owner);
     all.extend(direct);
@@ -1113,7 +1113,8 @@ async fn stream_step(
         let mut message = Message::new(Role::Assistant, parts);
         message.id = msg_id;
         message.model = Some(model_spec.to_string());
-        message.usage = Some(usage.clone());
+        // With its cost (charged, or valued at list prices) for the line under the answer.
+        message.usage = Some(Usage { cost: Some(req.model.cost(&usage)), ..usage.clone() });
         if !message.parts.is_empty() {
             app.store.add_message(&session.id, &message)?;
             app.emit(Event::MessageAdded { session_id: session.id.clone(), message: message.clone() });

server/src/store.rs

@@ -653,6 +653,39 @@ impl Store {
         Ok(json!({"total": total, "by_model": by_model, "by_agent": by_agent, "first": first, "last": last}))
     }
 
+    /// Plan requests booked at 0 (opencode Go reports nothing charged, only `allowance`):
+    /// (row id, ts, "provider/model", usage).
+    pub fn plan_requests_without_cost(&self) -> Result<Vec<(i64, i64, String, crate::types::Usage)>> {
+        let conn = self.conn.lock().unwrap();
+        let mut stmt = conn.prepare(
+            "SELECT id, ts, provider || '/' || model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, allowance
+             FROM usage WHERE cost = 0 AND allowance > 0",
+        )?;
+        let rows = stmt
+            .query_map([], |r| {
+                Ok((
+                    r.get(0)?,
+                    r.get(1)?,
+                    r.get(2)?,
+                    crate::types::Usage {
+                        input_tokens: r.get::<_, i64>(3)? as u64,
+                        output_tokens: r.get::<_, i64>(4)? as u64,
+                        cache_read_tokens: r.get::<_, i64>(5)? as u64,
+                        cache_write_tokens: r.get::<_, i64>(6)? as u64,
+                        allowance: r.get(7)?,
+                        ..Default::default()
+                    },
+                ))
+            })?
+            .collect::<rusqlite::Result<Vec<_>>>()?;
+        Ok(rows)
+    }
+
+    pub fn set_usage_cost(&self, row: i64, cost: f64) -> Result<()> {
+        self.conn.lock().unwrap().execute("UPDATE usage SET cost = ?2 WHERE id = ?1", params![row, cost])?;
+        Ok(())
+    }
+
     /// Global statistics in [from, to) (ms). `tz_offset_min` shifts day/hour buckets
     /// into the viewer's local time.
     pub fn global_stats(&self, from: i64, to: i64, tz_offset_min: i64, user: Option<&str>) -> Result<Value> {

server/src/tools/mod.rs

@@ -177,6 +177,7 @@ pub fn builtin_tools() -> Vec<Arc<dyn Tool>> {
         Arc::new(craft::ImageCompare),
         Arc::new(crate::prompts::SkillTool),
         Arc::new(crate::images::GenerateImage),
+        Arc::new(crate::mesh3d::Generate3d),
         Arc::new(crate::reverse::BinaryInfo),
         Arc::new(crate::reverse::Decompile),
     ]

web/src/components/ChatView.tsx

@@ -245,8 +245,10 @@ const MessageList = memo(function MessageList({
   baseDir,
   onRewind,
   highlight,
+  currency,
 }: {
   messages: Message[];
+  currency: string;
   results: Map<string, ToolResult>;
   busy: boolean;
   canEdit: boolean;
@@ -280,13 +282,52 @@ const MessageList = memo(function MessageList({
         ));
         // Finished turns with tool steps fold into one line (the answer stays visible).
         const steps = b.messages.flatMap((m) => m.parts.filter((p) => p.type === "tool_call")) as ToolCall[];
-        if (i === lastWork || steps.length < 2) return <div key={key}>{items}</div>;
-        return <WorkBlock key={key} messages={b.messages} steps={steps} open={!!highlight && b.messages.some((m) => m.id === highlight)} baseDir={baseDir}>{items}</WorkBlock>;
+        const usage = !(busy && i === lastWork) && <TurnUsage messages={b.messages} currency={currency} />;
+        if (i === lastWork || steps.length < 2)
+          return (
+            <div key={key}>
+              {items}
+              {usage}
+            </div>
+          );
+        return (
+          <div key={key}>
+            <WorkBlock messages={b.messages} steps={steps} open={!!highlight && b.messages.some((m) => m.id === highlight)} baseDir={baseDir}>
+              {items}
+            </WorkBlock>
+            {usage}
+          </div>
+        );
       })}
     </>
   );
 });
 
+/** Tokens (in/out) and cost of one answer: all requests of the turn together. */
+function TurnUsage({ messages, currency }: { messages: Message[]; currency: string }) {
+  const t = useT();
+  let inp = 0;
+  let out = 0;
+  let cost = 0;
+  let requests = 0;
+  for (const m of messages) {
+    const u = m.role === "assistant" ? m.usage : undefined;
+    if (!u) continue;
+    requests++;
+    inp += u.input_tokens + u.cache_read_tokens + u.cache_write_tokens;
+    out += u.output_tokens;
+    cost += u.cost ?? 0;
+  }
+  if (!requests) return null;
+  return (
+    <div className="turn-usage" title={t("chat.turnUsageHint", { n: requests })}>
+      {fmtCompact(inp)}
+      <Icon name="arrow-up" className="tiny" /> {fmtCompact(out)}
+      <Icon name="arrow-down" className="tiny" /> · {fmtCost(cost, currency)}
+    </div>
+  );
+}
+
 /** A finished turn: "42 steps · 3 files" and the answer; the steps on click. */
 function WorkBlock({ messages, steps, open: forced, baseDir, children }: { messages: Message[]; steps: ToolCall[]; open: boolean; baseDir: string; children: ReactNode }) {
   const t = useT();
@@ -825,6 +866,7 @@ export function ChatView({ sessionId, onMenu, onClosePane }: { sessionId: string
             baseDir={session.cwd}
             onRewind={onRewind}
             highlight={highlight}
+            currency={stats?.currency ?? "USD"}
           />
           {win?.newer && (
             <button className="back-to-latest" onClick={() => void showLatest()}>

web/src/components/MediaGallery.tsx

@@ -3,14 +3,24 @@ import { get } from "../api";
 import { useT, type Key } from "../i18n";
 import { Spinner } from "./Activity";
 import { Icon } from "./Icon";
+import { navigate } from "../router";
+
+/** Open a 3D model in the 3D view of the file manager. */
+const open3d = (path: string) => {
+  sessionStorage.setItem("codecraft.openFile", path);
+  navigate("/files");
+};
 
 interface MediaItem {
-  kind: "image" | "video" | "audio";
+  kind: "image" | "video" | "audio" | "model";
   url: string;
   name: string;
   source: "generated" | "tool" | "written" | "answer" | "upload";
   created_at: number;
   message_id?: string;
+  /** 3D models: file (opened in the 3D view) and preview image. */
+  path?: string;
+  preview?: string;
 }
 
 type Filter = "all" | MediaItem["kind"];
@@ -55,7 +65,7 @@ export function MediaGallery({ sessionId, onClose, onJump }: { sessionId: string
             <Icon name="image" /> {t("media.title")}
           </h3>
           <div className="media-filters" role="radiogroup">
-            {(["all", "image", "video", "audio"] as Filter[]).map((k) => (
+            {(["all", "image", "video", "audio", "model"] as Filter[]).map((k) => (
               <button key={k} role="radio" aria-checked={filter === k} className={`chip-btn ${filter === k ? "active" : ""}`} onClick={() => (setFilter(k), setOpen(undefined))} disabled={!!items && count(k) === 0 && k !== "all"}>
                 {t(`media.filter.${k}` as Key)} {items && <small>{count(k)}</small>}
               </button>
@@ -78,6 +88,16 @@ export function MediaGallery({ sessionId, onClose, onJump }: { sessionId: string
               {current.kind === "image" && <img src={current.url} alt={current.name} />}
               {current.kind === "video" && <video src={current.url} controls autoPlay />}
               {current.kind === "audio" && <audio src={current.url} controls autoPlay />}
+              {current.kind === "model" && (
+                <div className="media-model">
+                  {current.preview ? <img src={current.preview} alt={current.name} /> : <Icon name="cube" />}
+                  {current.path && (
+                    <button className="primary" onClick={() => open3d(current.path!)}>
+                      <Icon name="cube" /> {t("tool.open3d")}
+                    </button>
+                  )}
+                </div>
+              )}
             </div>
             <div className="media-bar">
               <button className="small ghost" disabled={open === 0} onClick={() => setOpen((o) => (o ?? 1) - 1)} aria-label={t("media.prev")}>
@@ -115,6 +135,16 @@ export function MediaGallery({ sessionId, onClose, onJump }: { sessionId: string
                   </span>
                 )}
                 {m.kind === "video" && <Icon name="play" className="media-play" />}
+                {m.kind === "model" &&
+                  (m.preview ? (
+                    <img src={m.preview} alt="" loading="lazy" decoding="async" />
+                  ) : (
+                    <span className="media-audio">
+                      <Icon name="cube" />
+                      <span>{m.name}</span>
+                    </span>
+                  ))}
+                {m.kind === "model" && <span className="media-badge">3D</span>}
               </button>
             ))}
           </div>

web/src/components/ToolCard.tsx

@@ -121,7 +121,7 @@ export function ToolCard({ call, result, running, baseDir }: { call: ToolCall; r
   const diffLines = typeof meta?.diff === "string" ? meta.diff.split("\n").length : 0;
   const openByDefault =
     (status === "err" && !!result) ||
-    (!!result && !result.is_error && ((diffLines > 0 && diffLines <= 40) || call.name === "generate_image"));
+    (!!result && !result.is_error && ((diffLines > 0 && diffLines <= 40) || call.name === "generate_image" || call.name === "generate_3d"));
   const open = toggled ?? openByDefault;
 
   return (
@@ -164,6 +164,18 @@ export function ToolCard({ call, result, running, baseDir }: { call: ToolCall; r
             <pre className="mono">{result.content}</pre>
           </>
         )}
+        {typeof meta?.model_file === "string" && (
+          <button
+            className="small"
+            style={{ marginBottom: 8 }}
+            onClick={() => {
+              sessionStorage.setItem("codecraft.openFile", meta.model_file);
+              navigate("/files");
+            }}
+          >
+            <Icon name="cube" /> {t("tool.open3d")}
+          </button>
+        )}
         {Array.isArray(meta?.image_ids) ? (
           <div className="gallery small">
             {meta.image_ids.map((id: string, i: number) => {

web/src/i18n/de.ts

@@ -356,6 +356,7 @@ export const de: Messages = {
   "media.filter.all": "Alle",
   "media.filter.image": "Bilder",
   "media.filter.video": "Videos",
+  "media.filter.model": "3D",
   "media.filter.audio": "Audio",
   "media.source.generated": "generiert",
   "media.source.tool": "Tool-Ausgabe",
@@ -367,6 +368,7 @@ export const de: Messages = {
   "media.prev": "Vorheriges",
   "media.next": "Nächstes",
   "media.back": "Zurück zur Übersicht",
+  "chat.turnUsageHint": "Alle {n} Anfragen dieser Antwort (Tokens gesendet/empfangen, Kosten)",
   "chat.reviewRound": "Review {round}: Änderungen nötig",
   "agents.refine": "Review-Schleife",
   "agents.refineRounds": "Review-Runden pro Aufgabe",
@@ -712,6 +714,7 @@ export const de: Messages = {
   "plan.implementPrompt": "Setze den Plan um.",
 
   "tool.input": "Eingabe",
+  "tool.open3d": "In 3D-Ansicht öffnen",
   "tool.output": "Ausgabe",
   "tool.todosUpdated": "Aufgaben aktualisiert ({done}/{total} erledigt)",
   "tool.todos": "Aufgaben",

web/src/i18n/en.ts

@@ -355,6 +355,7 @@ export const en = {
   "media.filter.all": "All",
   "media.filter.image": "Images",
   "media.filter.video": "Videos",
+  "media.filter.model": "3D",
   "media.filter.audio": "Audio",
   "media.source.generated": "generated",
   "media.source.tool": "tool output",
@@ -366,6 +367,7 @@ export const en = {
   "media.prev": "Previous",
   "media.next": "Next",
   "media.back": "Back to the overview",
+  "chat.turnUsageHint": "All {n} requests of this answer (tokens sent/received, cost)",
   "chat.reviewRound": "Review {round}: changes requested",
   "agents.refine": "Review loop",
   "agents.refineRounds": "Review rounds per task",
@@ -711,6 +713,7 @@ export const en = {
   "plan.implementPrompt": "Implement the plan.",
 
   "tool.input": "Input",
+  "tool.open3d": "Open in the 3D view",
   "tool.output": "Output",
   "tool.todosUpdated": "Tasks updated ({done}/{total} done)",
   "tool.todos": "Tasks",

web/src/styles.css

@@ -456,7 +456,8 @@ button.session-group:hover {
 }
 .topbar .grow {
   flex: 1;
-  min-width: 0;
+  /* The title stays readable: with many chips they wrap into a second row instead. */
+  min-width: min(160px, 40vw);
 }
 .topbar h1 {
   font-size: 15px;
@@ -4398,3 +4399,43 @@ span.chat-tab > button {
   text-overflow: ellipsis;
   white-space: nowrap;
 }
+
+/* Tokens and cost under each answer. */
+.turn-usage {
+  display: flex;
+  align-items: center;
+  gap: 2px;
+  margin: -6px 0 12px;
+  font-size: 11px;
+  color: var(--muted);
+  font-variant-numeric: tabular-nums;
+}
+
+.media-badge {
+  position: absolute;
+  top: 6px;
+  left: 6px;
+  font-size: 11px;
+  font-weight: 600;
+  padding: 1px 6px;
+  border-radius: 4px;
+  background: var(--bg0);
+  color: var(--accent);
+}
+.media-model {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  gap: 12px;
+  max-height: 100%;
+}
+.media-model img {
+  max-height: calc(100% - 50px);
+  max-width: 100%;
+  object-fit: contain;
+}
+.media-model > .icon {
+  width: 64px;
+  height: 64px;
+  color: var(--accent);
+}

web/src/types.ts

@@ -31,6 +31,8 @@ export interface Usage {
   output_tokens: number;
   cache_read_tokens: number;
   cache_write_tokens: number;
+  /** Cost of the request (charged, or valued at list prices for plan requests). */
+  cost?: number;
 }
 
 export interface Message {

web/src/whatsnew.ts

@@ -3,6 +3,14 @@
  * under "unreleased"; scripts/release.sh renames the key to the release version.
  */
 export const WHATS_NEW: Record<string, { en: string[]; de: string[] }> = {
+  "202611-00024": {
+    en: ["3D models with fal.ai: from an image (also pasted into the chat), a text prompt or both – open them in the 3D view"],
+    de: ["3D-Modelle mit fal.ai: aus einem Bild (auch eingefügt), einem Text oder beidem – öffnen in der 3D-Ansicht"],
+  },
+  "202611-00023": {
+    en: ["Tokens and cost under every answer; the total cost of chats with opencode Go is shown correctly again"],
+    de: ["Tokens und Kosten unter jeder Antwort; der Gesamtpreis von Chats mit opencode Go stimmt wieder"],
+  },
   "202611-00022": {
     en: ["New theme “Tintenblau” (Settings → General → Theme)"],
     de: ["Neues Theme „Tintenblau“ (Einstellungen → Allgemein → Theme)"],