fix(telemetry): record cloud inference cost (#704)

The Vite dev proxy forwards `/v1` as plain HTTP with no `ws: true`, so the
WebSocket upgrade for `/v1/agents/events` is never proxied. The socket does not
open, does not error, and does not close — it just sits silent — so every live
agent view is empty under `npm run dev` while working in a production build,
where the frontend is served from the same origin as the API.

That covers the per-agent live trace on the Agents page, which subscribes via
`useAgentEvents` (`frontend/src/lib/useAgentEvents.ts`).

The silence is what makes it costly: with no error to see, it reads as "no
events are being emitted" rather than "the transport never connected", so the
search starts on the server side.

Verified on Windows 11 with `jarvis start` running: before, a
`new WebSocket('ws://localhost:5173/v1/agents/events')` from the dev page never
fired open, error or close within 6s. After, it opens, and a real agent tick
delivers 8 events (agent_tick_start, inference_start/end, tool_call_start/end,
agent_tick_end).

`changeOrigin` is set alongside so the upgrade request carries the target's
host, which some setups require when the API is not on localhost.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

.github/clone-stats/badge.json

@@ -1,7 +1,7 @@
 {
   "schemaVersion": 1,
   "label": "Git Clones",
-  "message": "176,576",
+  "message": "181,942",
   "color": "green",
   "namedLogo": "git"
 }

.github/clone-stats/clone-data.json

@@ -1,6 +1,6 @@
 {
-  "total_clones": 176576,
-  "last_updated": "2026-07-29T08:35:42Z",
+  "total_clones": 181942,
+  "last_updated": "2026-08-05T08:31:05Z",
   "daily": {
     "2026-03-27": 2189,
     "2026-03-28": 1874,
@@ -125,6 +125,13 @@
     "2026-07-25": 928,
     "2026-07-26": 740,
     "2026-07-27": 799,
-    "2026-07-28": 665
+    "2026-07-28": 665,
+    "2026-07-29": 745,
+    "2026-07-30": 591,
+    "2026-07-31": 783,
+    "2026-08-01": 567,
+    "2026-08-02": 1248,
+    "2026-08-03": 724,
+    "2026-08-04": 708
   }
 }

frontend/vite.config.ts

@@ -54,7 +54,15 @@ export default defineConfig({
   server: {
     port: 5173,
     proxy: {
-      '/v1': process.env.VITE_API_URL || 'http://localhost:8000',
+      // ws: true is required for the /v1/agents/events WebSocket. Without it
+      // Vite proxies the HTTP request but not the upgrade, so the socket never
+      // opens — no error, no close event, just silence — and every live agent
+      // view sits empty in dev while working in a production build.
+      '/v1': {
+        target: process.env.VITE_API_URL || 'http://localhost:8000',
+        changeOrigin: true,
+        ws: true,
+      },
       '/health': process.env.VITE_API_URL || 'http://localhost:8000',
       '/api': process.env.VITE_API_URL || 'http://localhost:8000',
     },

src/openjarvis/core/config.py

@@ -12,9 +12,18 @@ import os
 import platform
 import shutil
 import subprocess
-from dataclasses import dataclass, field
+from dataclasses import dataclass, field, is_dataclass
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, Dict, List, Optional
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    List,
+    Optional,
+    get_args,
+    get_origin,
+    get_type_hints,
+)
 
 from openjarvis.core.paths import (
     ConfigurationError,
@@ -1710,10 +1719,16 @@ def _apply_toml_section(target: Any, section: Dict[str, Any]) -> None:
     """Overlay TOML key/value pairs onto a dataclass instance.
 
     Recursively handles nested dicts when the target attribute is itself
-    a dataclass.  Normalises TOML arrays to comma-separated strings — both
-    for dataclass fields annotated as ``str`` and for backward-compat
-    property setters that expect string input.
+    a dataclass, including dict entries in lists of dataclasses.  Normalises
+    TOML arrays to comma-separated strings — both for dataclass fields annotated
+    as ``str`` and for backward-compat property setters that expect string input.
     """
+    try:
+        type_hints = get_type_hints(type(target))
+    except (NameError, TypeError):
+        # Some config types contain optional runtime-only forward references.
+        type_hints = {}
+
     for key, value in section.items():
         if hasattr(target, key):
             if isinstance(value, dict):
@@ -1728,14 +1743,35 @@ def _apply_toml_section(target: Any, section: Dict[str, Any]) -> None:
                 # property setters (e.g. reward_weights, default_tools).
                 if isinstance(value, list):
                     is_str_field = False
+                    item_dataclass = None
                     if hasattr(target, "__dataclass_fields__"):
                         field_obj = target.__dataclass_fields__.get(key)
-                        if field_obj is not None and field_obj.type in ("str", str):
-                            is_str_field = True
-                        elif field_obj is None:
+                        if field_obj is not None:
+                            field_type = type_hints.get(key, field_obj.type)
+                            type_args = get_args(field_type)
+                            if (
+                                get_origin(field_type) is list
+                                and len(type_args) == 1
+                                and is_dataclass(type_args[0])
+                            ):
+                                item_dataclass = type_args[0]
+                            elif field_obj.type in ("str", str):
+                                is_str_field = True
+                        else:
                             # Property, not a real field — normalise to string
                             is_str_field = True
-                    if is_str_field:
+
+                    if item_dataclass is not None:
+                        converted = []
+                        for item in value:
+                            if isinstance(item, dict):
+                                nested = item_dataclass()
+                                _apply_toml_section(nested, item)
+                                converted.append(nested)
+                            else:
+                                converted.append(item)
+                        value = converted
+                    elif is_str_field:
                         value = ",".join(str(v) for v in value)
                 setattr(target, key, value)
 

src/openjarvis/telemetry/instrumented_engine.py

@@ -212,6 +212,7 @@ class InstrumentedEngine(InferenceEngine):
             completion_tokens=completion_tokens,
             total_tokens=prompt_tok + completion_tokens,
             latency_seconds=latency,
+            cost_usd=result.get("cost_usd", 0.0),
             ttft=ttft,
             throughput_tok_per_sec=throughput,
             energy_per_output_token_joules=energy_per_output_token,

tests/core/test_config_skills_sources.py

@@ -2,7 +2,9 @@
 
 from __future__ import annotations
 
-from openjarvis.core.config import SkillsConfig, SkillSourceConfig
+from pathlib import Path
+
+from openjarvis.core.config import SkillsConfig, SkillSourceConfig, load_config
 
 
 class TestSkillSourceConfig:
@@ -41,3 +43,36 @@ class TestSkillsConfigWithSources:
         )
         assert len(cfg.sources) == 2
         assert cfg.sources[0].source == "hermes"
+
+    def test_loads_source_tables_as_config_objects(
+        self, tmp_path: Path, monkeypatch
+    ) -> None:
+        monkeypatch.setenv("OPENJARVIS_HOME", str(tmp_path / "home"))
+        toml_file = tmp_path / "config.toml"
+        toml_file.write_text(
+            "[[skills.sources]]\n"
+            'source = "hermes"\n'
+            'filter = { category = ["productivity"] }\n\n'
+            "[[skills.sources]]\n"
+            'source = "github"\n'
+            'url = "https://github.com/example/skill-library"\n'
+            "auto_update = true\n"
+        )
+
+        load_config.cache_clear()
+        try:
+            cfg = load_config(toml_file)
+        finally:
+            load_config.cache_clear()
+
+        assert cfg.skills.sources == [
+            SkillSourceConfig(
+                source="hermes",
+                filter={"category": ["productivity"]},
+            ),
+            SkillSourceConfig(
+                source="github",
+                url="https://github.com/example/skill-library",
+                auto_update=True,
+            ),
+        ]

tests/telemetry/test_instrumented_engine.py

@@ -71,6 +71,17 @@ class TestInstrumentedEngine:
         assert record.prompt_tokens == 10
         assert record.completion_tokens == 5
 
+    def test_generate_records_cost(self, mock_engine, bus):
+        mock_engine.generate.return_value["cost_usd"] = 0.0015
+        ie = InstrumentedEngine(mock_engine, bus)
+        messages = [Message(role=Role.USER, content="Hi")]
+        ie.generate(messages, model="test")
+
+        event = next(
+            e for e in bus.history if e.event_type == EventType.TELEMETRY_RECORD
+        )
+        assert event.data["record"].cost_usd == pytest.approx(0.0015)
+
     def test_list_models_delegates(self, mock_engine, bus):
         ie = InstrumentedEngine(mock_engine, bus)
         assert ie.list_models() == ["test-model"]