2 Commits

Author SHA1 Message Date
HRiggs 00cf6f8747 feat: infrance
Build Release EXE / build-windows-exe (release) Successful in 58s
2026-06-08 20:28:06 -04:00
HRiggs 6bd1e81a51 versioning: 0.0.6, ux: move buttons, feat: add cloud providers, feat: increese tool call limit
Build Release EXE / build-windows-exe (release) Successful in 51s
2026-05-08 14:48:51 -04:00
20 changed files with 3812 additions and 298 deletions
+9
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@@ -1,9 +1,18 @@
MODEL_PROVIDER=ollama
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=qwen3.5:9b
OLLAMA_NUM_CTX=64512
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-5.4-mini
OPENAI_API_KEY=
MODEL_REASONING_EFFORT=medium
CODEX_COMMAND=codex
CODEX_MODEL=gpt-5.4
UEX_BASE_URL=https://api.uexcorp.space/2.0
SCMDB_BASE_URL=https://scmdb.net
CORNERSTONE_BASE_URL=https://finder.cstone.space
SCWIKI_BASE_URL=https://starcitizen.tools
SCWIKI_API_BASE_URL=https://api.star-citizen.wiki
UEX_SECRET_KEY=
UEX_BEARER_TOKEN=
TRADERAI_USER_NAME=
+5 -2
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@@ -1,6 +1,6 @@
# TraderAI
Local Ollama-powered chat for UEX marketplace workflows.
Local Ollama-, OpenAI-, or Codex-powered chat for UEX marketplace workflows.
## What It Does
@@ -25,6 +25,9 @@ Local Ollama-powered chat for UEX marketplace workflows.
```
3. Create `.env` from `.env.example` and set `UEX_SECRET_KEY` and/or `UEX_BEARER_TOKEN` if you want authenticated actions.
If you want to use OpenAI instead of Ollama, set `MODEL_PROVIDER=openai`, set `OPENAI_API_KEY`, and optionally change `OPENAI_MODEL` from the default `gpt-5.4-mini`.
If you want to use Codex models with ChatGPT/Codex OAuth, install the Codex CLI, set `MODEL_PROVIDER=codex`, and optionally change `CODEX_MODEL` from the default `gpt-5.4`. TraderAI uses the local `codex app-server` JSON-RPC interface for both authentication and chat turns.
`MODEL_REASONING_EFFORT` controls reasoning depth for OpenAI and Codex and defaults to `medium`.
`SCMDB_BASE_URL` defaults to `https://scmdb.net`.
`CORNERSTONE_BASE_URL` defaults to `https://finder.cstone.space`.
4. Install and run:
@@ -38,7 +41,7 @@ Local Ollama-powered chat for UEX marketplace workflows.
## Notes
Ollama runs locally at `http://localhost:11434` by default. This app talks to Ollama's native chat API with tool schemas, then executes approved UEX calls in the FastAPI backend. `OLLAMA_NUM_CTX` controls the per-request Ollama context window; `64512` is the default because Ollama recommends at least 64k tokens for agent-style workflows when hardware allows it.
Ollama runs locally at `http://localhost:11434` by default. This app can talk to Ollama's native chat API, OpenAI's Chat Completions API, or the local Codex App Server authenticated through ChatGPT/Codex OAuth, then executes approved UEX calls in the FastAPI backend. `OLLAMA_NUM_CTX` controls the per-request Ollama context window; `64512` is the default because Ollama recommends at least 64k tokens for agent-style workflows when hardware allows it.
## Releases And Updates
+4 -2
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@@ -1,7 +1,7 @@
[project]
name = "traderai"
version = "0.0.5"
description = "Local Ollama-powered assistant for UEX marketplace workflows."
version = "0.0.6"
description = "Local Ollama, OpenAI, or Codex assistant for UEX marketplace workflows."
requires-python = ">=3.11"
dependencies = [
"apscheduler>=3.10.4",
@@ -39,3 +39,5 @@ include = ["traderai*"]
+114
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@@ -64,6 +64,19 @@ class TitleAgent(OllamaAgent):
return {"message": {"role": "assistant", "content": "Done"}}
class ImageCaptureAgent(OllamaAgent):
def __init__(self, memory):
super().__init__("http://127.0.0.1:1", "missing-model", EmptyTools(), memory=memory)
self.last_messages = None
async def ensure_available(self):
return None
async def _chat_once(self, query="", messages=None, **kwargs):
self.last_messages = messages
return {"message": {"role": "assistant", "content": "Seen"}}
class SlowToolTools(EmptyTools):
schemas = [
{
@@ -204,6 +217,90 @@ def test_ollama_options_include_num_ctx():
assert agent._ollama_options() == {"num_ctx": 64000}
def test_codex_prompt_mentions_tools_and_images(tmp_path):
memory = MemoryStore(str(tmp_path / "memory.sqlite3"))
agent = OllamaAgent("codex", "gpt-5.3-codex", EmptyTools(), memory=memory, provider="codex")
prompt = agent._codex_cli_prompt(
"check listing",
[
{"role": "system", "content": SYSTEM_PROMPT},
{
"role": "user",
"content": "Look at this",
"images": ["ZmFrZQ=="],
"image_content_types": ["image/png"],
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_123",
"type": "function",
"function": {"name": "search_marketplace_listings", "arguments": "{\"commodity\":\"gold\"}"},
}
],
},
{
"role": "tool",
"tool_name": "search_marketplace_listings",
"tool_call_id": "call_123",
"content": "{\"ok\":true}",
},
],
)
assert "Available tools" in prompt
assert "attached images: 1" in prompt
assert "search_marketplace_listings" in prompt
assert "tool search_marketplace_listings" in prompt
def test_codex_structured_response_extracts_text_and_tool_calls():
agent = OllamaAgent("codex", "gpt-5.3-codex", EmptyTools(), provider="codex")
result = agent._codex_structured_response(
{
"kind": "tool_call",
"message": "",
"tool_name": "search_marketplace_listings",
"arguments_json": "{\"commodity\":\"gold\"}",
}
)
assert result["message"]["content"] == ""
assert result["message"]["tool_calls"] == [
{
"id": result["message"]["tool_calls"][0]["id"],
"type": "function",
"function": {
"name": "search_marketplace_listings",
"arguments": "{\"commodity\":\"gold\"}",
},
}
]
def test_parse_codex_exec_output_reads_final_json():
agent = OllamaAgent("codex", "gpt-5.3-codex", EmptyTools(), provider="codex")
result = agent._parse_codex_exec_output(
{
"returncode": 0,
"stdout": "",
"stderr": "",
"events": [
{"type": "thread.started", "thread_id": "abc"},
{"type": "item.completed", "item": {"type": "agent_message", "text": "{\"kind\":\"final\",\"message\":\"hello\",\"tool_name\":\"\",\"arguments_json\":\"{}\"}"}},
{"type": "turn.completed"},
],
}
)
assert result == {"kind": "final", "message": "hello", "tool_name": "", "arguments_json": "{}"}
@pytest.mark.asyncio
async def test_wake_response_executes_tool_calls(tmp_path):
memory = MemoryStore(str(tmp_path / "memory.sqlite3"))
@@ -229,6 +326,23 @@ async def test_first_chat_message_generates_thread_title(tmp_path):
assert memory.get_thread(thread["id"])["title"] == "UEX Market Check"
@pytest.mark.asyncio
async def test_chat_includes_pasted_images_and_memory_note(tmp_path):
memory = MemoryStore(str(tmp_path / "memory.sqlite3"))
agent = ImageCaptureAgent(memory)
result = await agent.chat(
"",
images=[{"name": "listing.png", "content_type": "image/png", "image_data": "ZmFrZS1pbWFnZQ=="}],
)
assert result["message"] == "Seen"
user_message = next(message for message in reversed(agent.last_messages) if message.get("role") == "user")
assert user_message["images"] == ["ZmFrZS1pbWFnZQ=="]
assert user_message["content"] == "Please analyze the attached image."
assert "[Attached 1 pasted image]" in memory.recent_conversation()[-2]["content"]
@pytest.mark.asyncio
async def test_chat_events_returns_fallback_after_slow_tool_and_empty_final_response(tmp_path):
memory = MemoryStore(str(tmp_path / "memory.sqlite3"))
+25
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@@ -0,0 +1,25 @@
from traderai.config import Settings
def test_model_provider_accepts_codex():
settings = Settings(model_provider="codex")
assert settings.model_provider == "codex"
def test_model_provider_invalid_value_falls_back_to_ollama():
settings = Settings(model_provider="something-else")
assert settings.model_provider == "ollama"
def test_reasoning_effort_normalizes_invalid_values():
settings = Settings(model_reasoning_effort="whatever")
assert settings.model_reasoning_effort == "medium"
def test_reasoning_effort_accepts_supported_values():
settings = Settings(model_reasoning_effort="high")
assert settings.model_reasoning_effort == "high"
+36
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@@ -104,6 +104,26 @@ def test_continual_plan_store_creates_buying_checklist(tmp_path):
assert plan["items"][0]["desired_quantity"] == 2
def test_continual_plan_store_deletes_plan_and_related_records(tmp_path):
_, store, _, _, _ = plan_stack(tmp_path)
plan = store.create_plan(
"Delete me",
objective="Remove everything",
items=[{"item_name": "Wikelo Idris panel", "desired_quantity": 1}],
)
item_id = int(plan["items"][0]["id"])
candidate = store.upsert_candidate(plan["id"], item_id, {"id": "listing-1", "title": "Panel", "price": 10}, 0.9)
store.add_negotiation(plan["id"], item_id, int(candidate["id"]), {"listing_id": "listing-1", "listing_slug": "panel", "id_negotiation": "neg-1", "hash": "hash-1"})
assert store.delete_plan(plan["id"]) is True
assert store.get_plan(plan["id"]) is None
assert store.list_items(plan["id"]) == []
assert store.list_candidates(plan["id"]) == []
assert store.list_negotiations(plan["id"]) == []
assert store.list_events(plan["id"]) == []
@pytest.mark.asyncio
async def test_buying_runner_tracks_candidates_and_drafts_only(tmp_path):
memory, store, tools, runner, _ = plan_stack(tmp_path)
@@ -215,3 +235,19 @@ async def test_scheduler_schedules_overdue_plan_catchup_on_start(tmp_path):
assert catchup is not None
assert any(event["kind"] == "catchup_scheduled" for event in snapshot["events"])
@pytest.mark.asyncio
async def test_tools_delete_continual_plan_removes_it(tmp_path):
_, store, tools, _, _ = plan_stack(tmp_path)
plan = store.create_plan(
"Delete through tools",
objective="Remove via registry",
items=[{"item_name": "Wikelo Idris panel"}],
)
result = await tools.delete_continual_plan(plan["id"])
assert result["deleted"] is True
assert result["plan_id"] == plan["id"]
assert store.get_plan(plan["id"]) is None
+152
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@@ -0,0 +1,152 @@
from __future__ import annotations
from types import SimpleNamespace
from fastapi.testclient import TestClient
import traderai.server as server
def test_config_update_rebuilds_runtime_without_restart(monkeypatch, tmp_path):
state = {"settings": make_settings(tmp_path, model_provider="ollama", ollama_model="qwen3.5:9b")}
class FakeScheduler:
def __init__(self, memory):
self.memory = memory
def bind_agent(self, agent):
self.agent = agent
def bind_plan_runner(self, plan_runner):
self.plan_runner = plan_runner
def bind_uex_notifications(self, uex, poll_seconds=60):
self.uex = uex
self.poll_seconds = poll_seconds
def start(self):
return None
def shutdown(self):
return None
def list_jobs(self):
return []
class FakeUEXClient:
def __init__(self, *args, **kwargs):
pass
async def get_user(self, username=None, authenticated=False):
return {}
class FakeToolRegistry:
def __init__(self, *args, **kwargs):
self.pending_actions = {}
self.plan_runner = None
async def approve(self, action_id):
return {"approved": action_id}
async def decline(self, action_id):
return {"declined": action_id}
class FakePlanRunner:
def __init__(self, store, tools, memory, agent=None):
self.store = store
self.tools = tools
self.memory = memory
self.agent = agent
def bind_agent(self, agent):
self.agent = agent
class FakeClient:
def __init__(self, *args, **kwargs):
pass
async def fake_health(self):
return {
"online": True,
"provider": self.provider,
"model": self.model,
"model_available": True,
"message": f"{self.provider} ready",
}
async def fake_chat(self, content, thread_id=None, images=None):
return {"message": f"{self.provider}:{self.model}", "pending_actions": [], "thread_id": thread_id}
def fake_get_settings():
return state["settings"]
def fake_save_settings(values):
state["settings"] = make_settings(
tmp_path,
model_provider=values.get("model_provider", state["settings"].model_provider),
ollama_model=values.get("ollama_model", state["settings"].ollama_model),
codex_model=values.get("codex_model", state["settings"].codex_model),
)
return {"values": values, "fields": {}, "secrets_configured": {}, "app_data_dir": str(tmp_path)}
monkeypatch.setattr(server, "WakeScheduler", FakeScheduler)
monkeypatch.setattr(server, "UEXClient", FakeUEXClient)
monkeypatch.setattr(server, "ToolRegistry", FakeToolRegistry)
monkeypatch.setattr(server, "ContinualPlanRunner", FakePlanRunner)
monkeypatch.setattr(server, "SCMDBClient", FakeClient)
monkeypatch.setattr(server, "CornerstoneClient", FakeClient)
monkeypatch.setattr(server, "StarCitizenWikiClient", FakeClient)
monkeypatch.setattr(server, "get_settings", fake_get_settings)
monkeypatch.setattr(server, "save_settings", fake_save_settings)
monkeypatch.setattr(
server,
"settings_payload",
lambda settings=None: {"app_data_dir": str(tmp_path), "values": {}, "fields": {}, "secrets_configured": {}},
)
monkeypatch.setattr(server.OllamaAgent, "health", fake_health)
monkeypatch.setattr(server.OllamaAgent, "chat", fake_chat)
app = server.create_app()
with TestClient(app) as client:
before = client.get("/api/health").json()
assert before["model_provider"] == "ollama"
assert before["inference"]["provider"] == "ollama"
updated = client.post(
"/api/config",
json={"values": {"model_provider": "codex", "codex_model": "gpt-5.4"}},
).json()
assert updated["restart_required"] is False
after = client.get("/api/health").json()
assert after["model_provider"] == "codex"
assert after["inference"]["provider"] == "codex"
chat = client.post("/api/chat", json={"message": "hi", "thread_id": "thread-1", "images": []}).json()
assert chat["message"] == "codex:gpt-5.4"
def make_settings(tmp_path, model_provider="ollama", ollama_model="qwen3.5:9b", codex_model="gpt-5.4"):
return SimpleNamespace(
traderai_memory_path=str(tmp_path / "memory.sqlite3"),
model_provider=model_provider,
ollama_base_url="http://localhost:11434",
ollama_model=ollama_model,
ollama_num_ctx=64512,
openai_base_url="https://api.openai.com/v1",
openai_api_key=None,
openai_model="gpt-5.4-mini",
model_reasoning_effort="medium",
codex_command="codex",
codex_model=codex_model,
uex_base_url="https://api.uexcorp.space/2.0",
uex_secret_key=None,
uex_bearer_token=None,
traderai_user_name=None,
uex_notification_poll_seconds=60,
require_write_approval=True,
scmdb_base_url="https://scmdb.net",
cornerstone_base_url="https://finder.cstone.space",
scwiki_base_url="https://starcitizen.tools",
scwiki_api_base_url="https://api.star-citizen.wiki",
)
+243
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@@ -10,8 +10,10 @@ from traderai.uex_client import UEXClient
class FakeUEX:
def __init__(self):
self.posts = []
self.get_calls = []
async def get(self, path, params=None, authenticated=False):
self.get_calls.append({"path": path, "params": params, "authenticated": authenticated})
if path == "commodities_prices_history":
return {
"status": "ok",
@@ -80,6 +82,34 @@ class FakeUEX:
},
],
}
if path == "marketplace_trends":
return {
"status": "ok",
"data": [
{
"id_item": 2791,
"item_name": "\"Quantanium\" Water Bottle",
"item_slug": "quantanium-water-bottle",
"currency": "UEC",
"price_avg_sell": "937500",
"price_avg_month_sell": "1072222",
"price_min_sell": "750000",
"price_max_sell": "1200000",
"listings_count_sell": 4,
"price_avg_buy": "500000",
"price_avg_month_buy": "525000",
"price_min_buy": "450000",
"price_max_buy": "550000",
"listings_count_buy": 2,
"total_listings_count": 6,
"negotiations_count": 18,
"negotiations_open": 7,
"negotiations_success": 9,
"link_prices": "https://uexcorp.space/marketplace/home/?id_item=2791&mode=list",
"link_prices_history": "https://uexcorp.space/marketplace/averages/?id_item=2791&quality_tier=q0&unit=unit",
}
],
}
assert path == "marketplace_listings"
return {
"data": [
@@ -259,6 +289,85 @@ class FakeCornerstone:
}
class FakeSCWiki:
base_url = "https://starcitizen.tools"
api_base_url = "https://api.star-citizen.wiki"
async def search_pages(self, query, limit=5):
assert query == "Carrack"
return [
{
"pageid": 415,
"title": "Carrack",
"description": "Deep-space multi-crew explorer manufactured by Anvil Aerospace",
"extract": "The Anvil Carrack is a multi-crew explorer.",
"thumbnail": "https://media.starcitizen.tools/carrack.webp",
"url": "https://starcitizen.tools/Carrack",
}
][:limit]
async def get_page_summary(self, title=None, pageid=None, chars=700):
assert title == "Carrack" or pageid == 415
return {
"pageid": 415,
"title": "Carrack",
"description": "Deep-space multi-crew explorer manufactured by Anvil Aerospace",
"extract": "The Anvil Carrack is a multi-crew explorer.",
"thumbnail": "https://media.starcitizen.tools/carrack.webp",
"url": "https://starcitizen.tools/Carrack",
}
async def search_verse(self, query):
assert query == "Carrack"
return [
{
"type": "vehicles",
"label": "Vehicles",
"results": [
{
"name": "Anvil Carrack",
"class_name": "ANVL_Carrack",
"extra_label": "Exploration",
"web_url": "https://api.star-citizen.wiki/vehicles/anvl-carrack",
"api_url": "https://api.star-citizen.wiki/api/vehicles/anvl-carrack",
}
],
}
]
async def get_vehicle(self, slug):
assert slug == "anvl-carrack"
return {
"name": "Carrack",
"game_name": "Anvil Carrack",
"slug": "anvl-carrack",
"manufacturer": {"name": "Anvil Aerospace"},
"career": "Exploration",
"role": "Expedition",
"size_class": 5,
"cargo_capacity": 456,
"crew": {"min": 6, "max": 6},
"msrp": 600,
"pledge_url": "https://robertsspaceindustries.com/pledge/ships/carrack/Carrack",
"uex_prices": {
"purchase": [
{
"price_buy": 34398000,
"terminal_name": "Astro Armada - Area 18",
"starmap_location": {"name": "Area18", "parent_name": "ArcCorp", "star_system_name": "Stanton"},
"game_version": "4.8.1-LIVE.11952564",
"date_updated": "2026-05-20T18:39:37-04:00",
"uex_link": "https://uexcorp.space/vehicles/home/list/in_game_sell/?id_terminal=148",
}
]
},
"description": {"en_EN": "The Anvil Carrack features reinforced fuel tanks for long-duration flight."},
"web_url": "https://api.star-citizen.wiki/vehicles/anvl-carrack",
"updated_at": "2026-06-08T00:34:00Z",
"version": "4.8.1-LIVE.11952564",
}
@pytest.mark.asyncio
async def test_search_marketplace_listings_filters_locally():
registry = ToolRegistry(FakeUEX())
@@ -333,6 +442,65 @@ async def test_uex_get_projects_and_limits_results():
assert result["items"] == [{"id": 10, "commodity_name": "Gold", "price_buy": 4120}]
@pytest.mark.asyncio
async def test_uex_get_marketplace_listings_accepts_item_and_operation_filters():
fake = FakeUEX()
registry = ToolRegistry(fake)
result = await registry.execute(
"get_uex_marketplace_listings",
{
"id_item": 2791,
"operation": "sell",
"fields": ["id", "slug", "operation"],
},
)
assert result["params"] == {"id_item": 2791, "operation": "sell"}
assert fake.get_calls[-1]["path"] == "marketplace_listings"
assert fake.get_calls[-1]["params"] == {"id_item": 2791, "operation": "sell"}
@pytest.mark.asyncio
async def test_get_marketplace_trends_returns_compact_wts_wtb_and_negotiation_metrics():
fake = FakeUEX()
registry = ToolRegistry(fake)
result = await registry.get_marketplace_trends(item_name="Quantanium", currency="UEC", quality_tier=0)
assert result["status"] == "ok"
assert result["count"] == 1
assert result["filters"] == {"item_name": "Quantanium", "currency": "UEC", "quality_tier": 0}
assert fake.get_calls[-1]["path"] == "marketplace_trends"
assert fake.get_calls[-1]["params"] == {"id_item": None, "item_name": "Quantanium", "item_slug": None, "id_category": None, "currency": "UEC", "quality_tier": 0}
assert result["trends"][0] == {
"id_item": 2791,
"item_name": "\"Quantanium\" Water Bottle",
"item_slug": "quantanium-water-bottle",
"currency": "UEC",
"sell": {
"avg_price": "937500",
"avg_price_month": "1072222",
"min_price": "750000",
"max_price": "1200000",
"listings_count": 4,
},
"buy": {
"avg_price": "500000",
"avg_price_month": "525000",
"min_price": "450000",
"max_price": "550000",
"listings_count": 2,
},
"total_listings_count": 6,
"negotiations_count": 18,
"negotiations_open": 7,
"negotiations_success": 9,
"link_prices": "https://uexcorp.space/marketplace/home/?id_item=2791&mode=list",
"link_prices_history": "https://uexcorp.space/marketplace/averages/?id_item=2791&quality_tier=q0&unit=unit",
}
@pytest.mark.asyncio
async def test_uex_api_catalog_exposes_resources_without_live_call():
registry = ToolRegistry(FakeUEX())
@@ -368,6 +536,7 @@ def test_schemas_expose_specific_uex_tools_instead_of_generic_api_tool():
assert "get_uex_commodities_prices" in names
assert "get_uex_vehicles" in names
assert "get_marketplace_trends" in names
assert "draft_uex_marketplace_advertise" in names
assert "delete_uex_marketplace_listings" in names
assert "uex_get" not in names
@@ -395,6 +564,17 @@ def test_schemas_expose_cornerstone_item_tools():
assert "draft_marketplace_listing_with_cornerstone_image" in names
def test_schemas_expose_scwiki_tools():
registry = ToolRegistry(FakeUEX(), scwiki=FakeSCWiki())
names = {schema["function"]["name"] for schema in registry.schemas}
assert "search_scwiki_pages" in names
assert "get_scwiki_page" in names
assert "search_scwiki_vehicles" in names
assert "get_scwiki_vehicle" in names
@pytest.mark.asyncio
async def test_search_scmdb_missions_returns_reward_summary():
registry = ToolRegistry(FakeUEX(), scmdb=FakeSCMDB())
@@ -469,6 +649,43 @@ async def test_get_cornerstone_item_media_returns_absolute_image_urls():
]
@pytest.mark.asyncio
async def test_search_scwiki_pages_returns_general_knowledge_matches():
registry = ToolRegistry(FakeUEX(), scwiki=FakeSCWiki())
result = await registry.search_scwiki_pages(query="Carrack")
assert result["source"] == "https://starcitizen.tools"
assert result["matched"] == 1
assert result["pages"][0]["title"] == "Carrack"
assert result["pages"][0]["url"] == "https://starcitizen.tools/Carrack"
@pytest.mark.asyncio
async def test_get_scwiki_vehicle_returns_ship_prices_and_store_context():
registry = ToolRegistry(FakeUEX(), scwiki=FakeSCWiki())
result = await registry.get_scwiki_vehicle(query="Carrack")
assert result["source"] == "https://api.star-citizen.wiki"
vehicle = result["vehicle"]
assert vehicle["name"] == "Carrack"
assert vehicle["manufacturer"] == "Anvil Aerospace"
assert vehicle["msrp"] == 600
assert vehicle["purchase_locations"] == [
{
"price_buy": 34398000,
"terminal_name": "Astro Armada - Area 18",
"location": "Area18",
"parent_location": "ArcCorp",
"star_system": "Stanton",
"game_version": "4.8.1-LIVE.11952564",
"date_updated": "2026-05-20T18:39:37-04:00",
"uex_link": "https://uexcorp.space/vehicles/home/list/in_game_sell/?id_terminal=148",
}
]
@pytest.mark.asyncio
async def test_draft_marketplace_listing_with_cornerstone_image_adds_image_data_and_redacts_display():
registry = ToolRegistry(FakeUEX(), cornerstone=FakeCornerstone())
@@ -497,6 +714,32 @@ async def test_draft_marketplace_listing_with_cornerstone_image_adds_image_data_
assert pending["metadata"]["cornerstone_image_status"] == "included"
@pytest.mark.asyncio
async def test_draft_marketplace_listing_can_reuse_pasted_chat_image():
registry = ToolRegistry(FakeUEX())
with registry.chat_image_scope([{"name": "listing.png", "content_type": "image/png", "image_data": "ZmFrZS1pbWFnZQ=="}]):
result = await registry.draft_marketplace_listing(
id_category=3,
operation="sell",
type="item",
unit="unit",
title="Abrade Scraper Module",
description="Clean module, ready for pickup.",
price=21250,
currency="UEC",
language="en_US",
use_attached_image=True,
)
pending = result["pending_action"]
stored = registry.pending_actions[pending["id"]]
assert pending["payload"]["image_data"].startswith("<base64 image data redacted")
assert stored.payload["image_data"] == "ZmFrZS1pbWFnZQ=="
assert pending["metadata"]["attached_chat_image_name"] == "listing.png"
assert pending["metadata"]["attached_chat_image_status"] == "included"
def test_parse_cornerstone_item_page_extracts_locations():
parsed = parse_cornerstone_item_page(
"""
+1032 -109
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+32 -2
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@@ -11,12 +11,21 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
CONFIG_FIELDS: dict[str, dict[str, Any]] = {
"model_provider": {"env": "MODEL_PROVIDER", "type": "string", "secret": False},
"ollama_base_url": {"env": "OLLAMA_BASE_URL", "type": "string", "secret": False},
"ollama_model": {"env": "OLLAMA_MODEL", "type": "string", "secret": False},
"ollama_num_ctx": {"env": "OLLAMA_NUM_CTX", "type": "integer", "secret": False},
"openai_base_url": {"env": "OPENAI_BASE_URL", "type": "string", "secret": False},
"openai_model": {"env": "OPENAI_MODEL", "type": "string", "secret": False},
"model_reasoning_effort": {"env": "MODEL_REASONING_EFFORT", "type": "string", "secret": False},
"codex_command": {"env": "CODEX_COMMAND", "type": "string", "secret": False},
"codex_model": {"env": "CODEX_MODEL", "type": "string", "secret": False},
"uex_base_url": {"env": "UEX_BASE_URL", "type": "string", "secret": False},
"scmdb_base_url": {"env": "SCMDB_BASE_URL", "type": "string", "secret": False},
"cornerstone_base_url": {"env": "CORNERSTONE_BASE_URL", "type": "string", "secret": False},
"scwiki_base_url": {"env": "SCWIKI_BASE_URL", "type": "string", "secret": False},
"scwiki_api_base_url": {"env": "SCWIKI_API_BASE_URL", "type": "string", "secret": False},
"openai_api_key": {"env": "OPENAI_API_KEY", "type": "string", "secret": True},
"uex_secret_key": {"env": "UEX_SECRET_KEY", "type": "string", "secret": True},
"uex_bearer_token": {"env": "UEX_BEARER_TOKEN", "type": "string", "secret": True},
"traderai_user_name": {"env": "TRADERAI_USER_NAME", "type": "string", "secret": False},
@@ -62,12 +71,21 @@ class Settings(BaseSettings):
env_file_encoding="utf-8",
)
model_provider: str = "ollama"
ollama_base_url: str = "http://localhost:11434"
ollama_model: str = "qwen3.5:9b"
ollama_num_ctx: int = 64512
openai_base_url: str = "https://api.openai.com/v1"
openai_model: str = "gpt-5.4-mini"
model_reasoning_effort: str = "medium"
codex_command: str = "codex"
codex_model: str = "gpt-5.4"
uex_base_url: str = "https://api.uexcorp.space/2.0"
scmdb_base_url: str = "https://scmdb.net"
cornerstone_base_url: str = "https://finder.cstone.space"
scwiki_base_url: str = "https://starcitizen.tools"
scwiki_api_base_url: str = "https://api.star-citizen.wiki"
openai_api_key: str | None = Field(default=None)
uex_secret_key: str | None = Field(default=None)
uex_bearer_token: str | None = Field(default=None)
traderai_user_name: str | None = Field(default=None)
@@ -75,11 +93,23 @@ class Settings(BaseSettings):
uex_notification_poll_seconds: int = 60
require_write_approval: bool = True
@field_validator("uex_secret_key", "uex_bearer_token", "traderai_user_name", mode="before")
@field_validator("openai_api_key", "uex_secret_key", "uex_bearer_token", "traderai_user_name", mode="before")
@classmethod
def _blank_optional(cls, value: Any) -> Any:
return None if value == "" else value
@field_validator("model_provider", mode="before")
@classmethod
def _normalize_model_provider(cls, value: Any) -> str:
text = str(value or "ollama").strip().casefold()
return text if text in {"ollama", "openai", "codex"} else "ollama"
@field_validator("model_reasoning_effort", mode="before")
@classmethod
def _normalize_reasoning_effort(cls, value: Any) -> str:
text = str(value or "medium").strip().casefold()
return text if text in {"none", "minimal", "low", "medium", "high", "xhigh"} else "medium"
@field_validator("traderai_memory_path", mode="before")
@classmethod
def _blank_memory_path(cls, value: Any) -> Any:
@@ -137,7 +167,7 @@ def save_settings(values: dict[str, Any]) -> dict[str, Any]:
def _coerce_value(key: str, value: Any) -> Any:
field_type = CONFIG_FIELDS[key]["type"]
if value == "":
return None if key in {"uex_secret_key", "uex_bearer_token", "traderai_user_name"} else ""
return None if key in {"openai_api_key", "uex_secret_key", "uex_bearer_token", "traderai_user_name"} else ""
if field_type == "integer":
return int(value)
if field_type == "boolean":
+31 -3
View File
@@ -1,5 +1,6 @@
from __future__ import annotations
import asyncio
import os
from pathlib import Path
import shutil
@@ -25,6 +26,10 @@ def resource_path(*parts: str) -> Path:
def main() -> None:
try:
_chdir_to_app_dir()
backend_port = _backend_port_from_args()
if backend_port is not None:
_run_server(backend_port)
return
_log("TraderAI desktop starting")
_log(f"cwd={Path.cwd()}")
_log(f"executable={sys.executable}")
@@ -36,9 +41,13 @@ def main() -> None:
_log("existing TraderAI backend found; opening window")
_open_window(url)
return
server_thread = threading.Thread(target=_run_server, args=(port,), daemon=True)
server_thread.start()
_log("backend thread started")
if getattr(sys, "frozen", False):
backend_process = _start_backend_process(port)
_log(f"backend process started pid={backend_process.pid}")
else:
server_thread = threading.Thread(target=_run_server, args=(port,), daemon=True)
server_thread.start()
_log("backend thread started")
_wait_for_server(url)
_log("backend health check passed")
_open_window(url)
@@ -62,6 +71,22 @@ def _select_port() -> int:
return _free_port()
def _backend_port_from_args() -> int | None:
args = sys.argv[1:]
if len(args) >= 2 and args[0] == "--backend-port":
return int(args[1])
return None
def _start_backend_process(port: int) -> subprocess.Popen:
command = [sys.executable, "--backend-port", str(port)]
_log(f"starting backend subprocess: {' '.join(command)}")
kwargs: dict[str, object] = {}
if sys.platform == "win32":
kwargs["creationflags"] = subprocess.CREATE_NO_WINDOW
return subprocess.Popen(command, **kwargs)
def _port_available(port: int) -> bool:
try:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
@@ -88,6 +113,9 @@ def _existing_server_ready(url: str) -> bool:
def _run_server(port: int) -> NoReturn:
try:
_log(f"backend starting on port {port}")
if sys.platform == "win32" and hasattr(asyncio, "WindowsProactorEventLoopPolicy"):
asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
_log("set Windows Proactor event loop policy for subprocess-compatible backend")
from traderai.server import app
config = uvicorn.Config(
+11
View File
@@ -232,6 +232,17 @@ class ContinualPlanStore:
self.add_event(plan_id, status, f"Plan status changed to {status}.")
return self.get_plan(plan_id)
def delete_plan(self, plan_id: str) -> bool:
with self.memory._connect() as db:
deleted = db.execute("DELETE FROM continual_plans WHERE id = ?", (plan_id,)).rowcount
if not deleted:
return False
db.execute("DELETE FROM continual_plan_items WHERE plan_id = ?", (plan_id,))
db.execute("DELETE FROM continual_plan_candidates WHERE plan_id = ?", (plan_id,))
db.execute("DELETE FROM continual_plan_events WHERE plan_id = ?", (plan_id,))
db.execute("DELETE FROM continual_plan_negotiations WHERE plan_id = ?", (plan_id,))
return True
def add_event(self, plan_id: str, kind: str, message: str, metadata: dict[str, Any] | None = None) -> dict[str, Any]:
now = iso_now()
with self.memory._connect() as db:
+578 -39
View File
@@ -1,6 +1,7 @@
from __future__ import annotations
import os
import asyncio
import json
import shutil
import subprocess
@@ -26,6 +27,7 @@ from traderai.memory import DEFAULT_THREAD_ID, MemoryStore
from traderai.plans import ContinualPlanRunner, ContinualPlanStore
from traderai.scheduler import WakeScheduler
from traderai.scmdb_client import SCMDBClient
from traderai.starcitizen_wiki_client import StarCitizenWikiClient
from traderai.tools import ToolRegistry
from traderai.uex_client import UEXClient
from traderai.version import RELEASES_API_URL, RELEASES_URL, __version__
@@ -39,6 +41,13 @@ def resource_path(*parts: str) -> Path:
class ChatRequest(BaseModel):
message: str
thread_id: str | None = DEFAULT_THREAD_ID
images: list["ChatImageRequest"] = []
class ChatImageRequest(BaseModel):
name: str = "pasted-image.png"
content_type: str = "image/png"
image_data: str
class ChatThreadRequest(BaseModel):
@@ -99,32 +108,52 @@ def create_app() -> FastAPI:
memory = MemoryStore(settings.traderai_memory_path)
plan_store = ContinualPlanStore(memory)
scheduler = WakeScheduler(memory)
uex = UEXClient(settings.uex_base_url, settings.uex_secret_key, settings.uex_bearer_token)
scmdb = SCMDBClient(settings.scmdb_base_url)
cornerstone = CornerstoneClient(settings.cornerstone_base_url)
tools = ToolRegistry(
uex,
settings.require_write_approval,
memory=memory,
scheduler=scheduler,
scmdb=scmdb,
cornerstone=cornerstone,
plan_store=plan_store,
)
plan_runner = ContinualPlanRunner(plan_store, tools, memory)
tools.plan_runner = plan_runner
agent = OllamaAgent(
settings.ollama_base_url,
settings.ollama_model,
tools,
memory=memory,
user_name=settings.traderai_user_name,
num_ctx=settings.ollama_num_ctx,
)
plan_runner.bind_agent(agent)
scheduler.bind_agent(agent)
scheduler.bind_plan_runner(plan_runner)
scheduler.bind_uex_notifications(uex, settings.uex_notification_poll_seconds)
runtime: dict[str, Any] = {}
def configure_runtime(current_settings: Any) -> None:
uex = UEXClient(current_settings.uex_base_url, current_settings.uex_secret_key, current_settings.uex_bearer_token)
scmdb = SCMDBClient(current_settings.scmdb_base_url)
cornerstone = CornerstoneClient(current_settings.cornerstone_base_url)
scwiki = StarCitizenWikiClient(current_settings.scwiki_base_url, current_settings.scwiki_api_base_url)
tools = ToolRegistry(
uex,
current_settings.require_write_approval,
memory=memory,
scheduler=scheduler,
scmdb=scmdb,
cornerstone=cornerstone,
scwiki=scwiki,
plan_store=plan_store,
)
plan_runner = ContinualPlanRunner(plan_store, tools, memory)
tools.plan_runner = plan_runner
provider_base_url, provider_model, provider_api_key = provider_settings(current_settings)
agent = OllamaAgent(
provider_base_url,
provider_model,
tools,
memory=memory,
user_name=current_settings.traderai_user_name,
num_ctx=current_settings.ollama_num_ctx,
provider=current_settings.model_provider,
api_key=provider_api_key,
reasoning_effort=current_settings.model_reasoning_effort,
)
plan_runner.bind_agent(agent)
scheduler.bind_agent(agent)
scheduler.bind_plan_runner(plan_runner)
scheduler.bind_uex_notifications(uex, current_settings.uex_notification_poll_seconds)
runtime.update(
{
"settings": current_settings,
"uex": uex,
"tools": tools,
"plan_runner": plan_runner,
"agent": agent,
}
)
configure_runtime(settings)
app = FastAPI(title="TraderAI")
static_dir = resource_path("web")
@@ -140,17 +169,20 @@ def create_app() -> FastAPI:
scheduler.shutdown()
async def refresh_user_profile() -> None:
if settings.traderai_user_name:
memory.set_profile("configured_name", settings.traderai_user_name)
agent.user_name = agent.user_name or settings.traderai_user_name
current_settings = get_settings()
agent = runtime["agent"]
uex = runtime["uex"]
if current_settings.traderai_user_name:
memory.set_profile("configured_name", current_settings.traderai_user_name)
agent.user_name = agent.user_name or current_settings.traderai_user_name
try:
response = await uex.get_user(authenticated=True)
except Exception as exc:
memory.set_profile("uex_user_error", str(exc))
if settings.traderai_user_name:
if current_settings.traderai_user_name:
try:
response = await uex.get_user(username=settings.traderai_user_name)
response = await uex.get_user(username=current_settings.traderai_user_name)
except Exception:
return
else:
@@ -169,8 +201,13 @@ def create_app() -> FastAPI:
@app.get("/api/health")
async def health() -> dict:
agent = runtime["agent"]
current_settings = get_settings()
inference = await agent.health()
return {
"ollama": await agent.health(),
"inference": inference,
"ollama": inference,
"model_provider": current_settings.model_provider,
"user": memory.get_profile(),
"jobs": scheduler.list_jobs(),
"app_data_dir": settings_payload()["app_data_dir"],
@@ -183,14 +220,61 @@ def create_app() -> FastAPI:
@app.post("/api/config")
async def update_config(request: ConfigUpdateRequest) -> dict:
previous_settings = get_settings()
updated = save_settings(request.values)
updated["restart_required"] = True
updated["message"] = "Configuration saved. Restart TraderAI for all settings to take effect."
current_settings = get_settings()
configure_runtime(current_settings)
await refresh_user_profile()
restart_required = (
"traderai_memory_path" in request.values
and str(request.values.get("traderai_memory_path") or "").strip() != str(previous_settings.traderai_memory_path)
)
updated["restart_required"] = restart_required
updated["message"] = (
"Configuration saved. Restart TraderAI to switch memory databases."
if restart_required
else "Configuration saved and applied."
)
return updated
@app.get("/api/ollama/status")
async def ollama_status() -> dict:
return await inspect_ollama()
return await inspect_model_provider()
@app.get("/api/provider/models")
async def provider_models(provider: str | None = None) -> dict:
status = await inspect_provider_models(provider)
return {
"provider": status.get("provider", "openai"),
"configured_model": status.get("configured_model"),
"models": status.get("models", []),
"reasoning_efforts": status.get("reasoning_efforts", reasoning_effort_options()),
"configured_reasoning_effort": status.get("configured_reasoning_effort", get_settings().model_reasoning_effort),
"message": status.get("message", ""),
"detail": status.get("detail", ""),
"online": status.get("online", False),
}
@app.post("/api/codex/login")
async def launch_codex_login() -> dict:
current_settings = get_settings()
command = find_codex_cli(current_settings.codex_command)
if not command:
raise HTTPException(status_code=404, detail="Codex CLI was not found on PATH.")
try:
login = await start_codex_browser_login(command)
except Exception as exc:
raise HTTPException(status_code=500, detail=f"Codex App Server login failed: {exception_detail(exc)}") from exc
return {
"installed": True,
"running": False,
"online": False,
"provider": "codex",
"login_id": login.get("loginId"),
"auth_url": login.get("authUrl"),
"base_url": str(command),
"message": "Opened Codex App Server sign-in in your browser. Finish the flow, then TraderAI will detect the new login.",
}
@app.post("/api/ollama/launch")
async def launch_ollama() -> dict:
@@ -201,7 +285,7 @@ def create_app() -> FastAPI:
popen_hidden(command)
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Could not launch Ollama: {exc}") from exc
status = await inspect_ollama()
status = await inspect_model_provider()
status["message"] = "Ollama launch requested."
return status
@@ -218,7 +302,7 @@ def create_app() -> FastAPI:
popen_hidden([str(cli), "pull", model])
except OSError as exc:
raise HTTPException(status_code=500, detail=f"Could not start model install: {exc}") from exc
status = await inspect_ollama()
status = await inspect_model_provider()
status["message"] = f"Started installing model {model}."
return status
@@ -297,15 +381,26 @@ def create_app() -> FastAPI:
@app.post("/api/chat")
async def chat(request: ChatRequest) -> dict:
agent = runtime["agent"]
try:
return await agent.chat(request.message, thread_id=request.thread_id)
return await agent.chat(
request.message,
thread_id=request.thread_id,
images=[image.model_dump() for image in request.images],
)
except OllamaUnavailable as exc:
raise HTTPException(status_code=503, detail=str(exc)) from exc
@app.post("/api/chat/stream")
async def chat_stream(request: ChatRequest) -> StreamingResponse:
agent = runtime["agent"]
async def events():
async for event in agent.chat_events(request.message, thread_id=request.thread_id):
async for event in agent.chat_events(
request.message,
thread_id=request.thread_id,
images=[image.model_dump() for image in request.images],
):
yield f"data: {json.dumps(event)}\n\n"
return StreamingResponse(events(), media_type="text/event-stream")
@@ -337,6 +432,7 @@ def create_app() -> FastAPI:
@app.get("/api/pending-actions")
async def pending_actions() -> dict:
agent = runtime["agent"]
return {"pending_actions": agent._pending_payloads()}
@app.get("/api/notifications")
@@ -363,11 +459,13 @@ def create_app() -> FastAPI:
@app.get("/api/negotiations/{identifier}/messages")
async def negotiation_messages(identifier: str) -> dict:
uex = runtime["uex"]
params = negotiation_identifier_params(identifier)
return await uex.get("marketplace_negotiations_messages", params, authenticated=True)
@app.post("/api/negotiations/{identifier}/messages")
async def send_negotiation_message(identifier: str, request: DirectNegotiationMessageRequest) -> dict:
uex = runtime["uex"]
params = negotiation_identifier_params(identifier)
payload = {**params, "message": request.message, "is_production": 1}
return await uex.post("marketplace_negotiations_messages", payload, authenticated=True)
@@ -382,6 +480,7 @@ def create_app() -> FastAPI:
@app.post("/api/plans")
async def create_continual_plan(request: ContinualPlanCreateRequest) -> dict:
tools = runtime["tools"]
result = await tools.create_continual_plan(
title=request.title,
objective=request.objective,
@@ -403,6 +502,7 @@ def create_app() -> FastAPI:
@app.post("/api/plans/{plan_id}/pause")
async def pause_continual_plan(plan_id: str) -> dict:
tools = runtime["tools"]
result = await tools.pause_continual_plan(plan_id)
if result.get("error"):
raise HTTPException(status_code=404, detail=result["error"])
@@ -410,6 +510,7 @@ def create_app() -> FastAPI:
@app.post("/api/plans/{plan_id}/resume")
async def resume_continual_plan(plan_id: str) -> dict:
tools = runtime["tools"]
result = await tools.resume_continual_plan(plan_id)
if result.get("error"):
raise HTTPException(status_code=404, detail=result["error"])
@@ -417,13 +518,23 @@ def create_app() -> FastAPI:
@app.post("/api/plans/{plan_id}/cancel")
async def cancel_continual_plan(plan_id: str) -> dict:
tools = runtime["tools"]
result = await tools.cancel_continual_plan(plan_id)
if result.get("error"):
raise HTTPException(status_code=404, detail=result["error"])
return result
@app.delete("/api/plans/{plan_id}")
async def delete_continual_plan(plan_id: str) -> dict:
tools = runtime["tools"]
result = await tools.delete_continual_plan(plan_id)
if result.get("error"):
raise HTTPException(status_code=404, detail=result["error"])
return result
@app.post("/api/plans/{plan_id}/run")
async def run_continual_plan(plan_id: str) -> dict:
tools = runtime["tools"]
result = await tools.run_continual_plan_now(plan_id)
if result.get("error"):
raise HTTPException(status_code=400, detail=result["error"])
@@ -457,10 +568,12 @@ def create_app() -> FastAPI:
@app.post("/api/approve/{action_id}")
async def approve(action_id: str) -> dict:
tools = runtime["tools"]
return await tools.approve(action_id)
@app.post("/api/decline/{action_id}")
async def decline(action_id: str) -> dict:
tools = runtime["tools"]
return await tools.decline(action_id)
return app
@@ -475,6 +588,125 @@ def negotiation_identifier_params(identifier: str) -> dict[str, Any]:
return {"hash": value}
async def inspect_model_provider() -> dict[str, Any]:
settings = get_settings()
if settings.model_provider == "openai":
return await inspect_openai()
if settings.model_provider == "codex":
return await inspect_codex()
return await inspect_ollama()
async def inspect_openai() -> dict[str, Any]:
settings = get_settings()
return await inspect_cloud_provider_config("openai", settings.openai_base_url, settings.openai_api_key, settings.openai_model)
async def inspect_codex() -> dict[str, Any]:
settings = get_settings()
command = find_codex_cli(settings.codex_command)
detail = ""
online = False
models: list[str] = []
effort_map: dict[str, list[str]] = {}
if command:
try:
account, models, effort_map = await inspect_codex_app_server(command)
online = bool(account)
detail = f"Logged in as {account.get('email')}" if isinstance(account, dict) and account.get("email") else ""
except (OSError, RuntimeError, asyncio.TimeoutError) as exc:
detail = str(exc)
configured_model = settings.codex_model
model_available = configured_model in models if models else bool(configured_model)
return {
"installed": bool(command),
"running": online,
"online": online,
"provider": "codex",
"model_available": model_available,
"configured_model": configured_model,
"configured_reasoning_effort": settings.model_reasoning_effort,
"reasoning_efforts": codex_reasoning_efforts(configured_model, effort_map),
"base_url": str(command) if command else settings.codex_command,
"models": models,
"message": codex_status_message(bool(command), online, model_available, configured_model),
"detail": detail,
}
async def inspect_cloud_provider() -> dict[str, Any]:
settings = get_settings()
if settings.model_provider == "codex":
return await inspect_codex()
return await inspect_openai()
async def inspect_provider_models(provider: str | None = None) -> dict[str, Any]:
normalized = str(provider or get_settings().model_provider).strip().casefold()
if normalized == "codex":
return await inspect_codex()
if normalized == "ollama":
return await inspect_ollama()
return await inspect_openai()
async def inspect_cloud_provider_config(
provider: str,
base_url: str,
api_key: str | None,
model: str,
) -> dict[str, Any]:
settings = get_settings()
models: list[str] = []
online = False
detail = ""
provider_name = provider_display_name(provider)
if not api_key:
return {
"installed": True,
"running": False,
"online": False,
"provider": provider,
"model_available": False,
"configured_model": model,
"configured_reasoning_effort": settings.model_reasoning_effort,
"reasoning_efforts": reasoning_effort_options(),
"base_url": base_url,
"models": [],
"message": f"{provider_name} is selected, but no API key is configured.",
"detail": "",
}
try:
async with httpx.AsyncClient(timeout=10) as client:
response = await client.get(
f"{base_url.rstrip('/')}/models",
headers={"Authorization": f"Bearer {api_key}"},
)
response.raise_for_status()
body = response.json()
online = True
models = sorted(item.get("id") for item in body.get("data", []) if item.get("id"))
except (httpx.HTTPError, ValueError) as exc:
detail = str(exc)
model_available = model in models
return {
"installed": True,
"running": online,
"online": online,
"provider": provider,
"model_available": model_available,
"configured_model": model,
"configured_reasoning_effort": settings.model_reasoning_effort,
"reasoning_efforts": reasoning_effort_options(),
"base_url": base_url,
"models": models,
"message": cloud_status_message(provider, online, bool(api_key), model_available, model),
"detail": detail,
}
async def inspect_ollama() -> dict[str, Any]:
settings = get_settings()
executable = find_ollama_executable()
@@ -500,8 +732,11 @@ async def inspect_ollama() -> dict[str, Any]:
"installed": installed,
"running": online,
"online": online,
"provider": "ollama",
"model_available": model_available,
"configured_model": settings.ollama_model,
"configured_reasoning_effort": settings.model_reasoning_effort,
"reasoning_efforts": reasoning_effort_options(),
"base_url": settings.ollama_base_url,
"num_ctx": settings.ollama_num_ctx,
"models": models,
@@ -514,6 +749,17 @@ async def inspect_ollama() -> dict[str, Any]:
}
def cloud_status_message(provider: str, running: bool, configured: bool, model_available: bool, model: str) -> str:
provider_name = provider_display_name(provider)
if not configured:
return f"{provider_name} API key is not configured."
if not running:
return f"{provider_name} is not reachable with the configured key."
if not model_available:
return f'{provider_name} is reachable, but model "{model}" was not returned by the API.'
return f"{provider_name} is ready."
def ollama_status_message(installed: bool, running: bool, model_available: bool, model: str) -> str:
if not installed:
return "Ollama is not installed."
@@ -524,6 +770,292 @@ def ollama_status_message(installed: bool, running: bool, model_available: bool,
return "Ollama is ready."
def codex_status_message(installed: bool, logged_in: bool, model_available: bool, model: str) -> str:
if not installed:
return "Codex CLI is not installed."
if not logged_in:
return "Codex CLI is installed, but the Codex App Server is not logged in with ChatGPT."
if not model_available:
return f'Codex App Server is logged in, but model "{model}" was not returned by the model list.'
return "Codex App Server is ready."
def provider_settings(settings: Any) -> tuple[str, str, str | None]:
if settings.model_provider == "openai":
return settings.openai_base_url, settings.openai_model, settings.openai_api_key
if settings.model_provider == "codex":
return settings.codex_command, settings.codex_model, None
return settings.ollama_base_url, settings.ollama_model, None
def provider_display_name(provider: str) -> str:
return {"openai": "OpenAI", "codex": "Codex"}.get(provider, "Ollama")
def find_codex_cli(configured_command: str | None = None) -> Path | None:
candidates = [configured_command, shutil.which("codex"), os.path.join(os.environ.get("USERPROFILE", ""), ".codex", ".sandbox-bin", "codex.exe")]
for candidate in candidates:
if not candidate:
continue
resolved = shutil.which(candidate) if Path(candidate).name == candidate else candidate
if not resolved:
continue
path = Path(resolved)
if path.exists():
return path
return None
_codex_login_tasks: set[asyncio.Task] = set()
async def start_codex_browser_login(command: Path) -> dict[str, Any]:
process = await asyncio.create_subprocess_exec(
str(command),
"app-server",
stdin=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
creationflags=subprocess.CREATE_NO_WINDOW if sys.platform == "win32" else 0,
)
request_id = 1
async def write(payload: dict[str, Any]) -> None:
if process.stdin is None:
raise RuntimeError("Codex App Server stdin is unavailable.")
process.stdin.write((json.dumps(payload, ensure_ascii=True) + "\n").encode("utf-8"))
await process.stdin.drain()
async def read(timeout: int = 30) -> dict[str, Any]:
if process.stdout is None:
raise RuntimeError("Codex App Server stdout is unavailable.")
try:
line = await asyncio.wait_for(process.stdout.readline(), timeout=timeout)
except asyncio.TimeoutError as exc:
raise RuntimeError("Codex App Server timed out while starting browser login.") from exc
if not line:
stderr = ""
if process.stderr is not None:
try:
stderr = (await asyncio.wait_for(process.stderr.read(), timeout=1)).decode("utf-8", errors="replace").strip()
except asyncio.TimeoutError:
stderr = ""
raise RuntimeError(stderr or "Codex App Server exited before login completed.")
return json.loads(line.decode("utf-8", errors="replace"))
async def send(method: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
nonlocal request_id
current_id = request_id
request_id += 1
payload: dict[str, Any] = {"jsonrpc": "2.0", "id": current_id, "method": method}
if params is not None:
payload["params"] = params
await write(payload)
while True:
message = await read()
if message.get("id") == current_id:
if message.get("error"):
error = message["error"]
raise RuntimeError(error.get("message") or f"Codex App Server request failed: {error}")
return message.get("result") or {}
await answer_codex_login_server_request(write, message)
try:
await send(
"initialize",
{
"clientInfo": {"name": "TraderAI", "version": __version__},
"capabilities": {"experimentalApi": True},
},
)
await write({"jsonrpc": "2.0", "method": "initialized", "params": {}})
login = await send("account/login/start", {"type": "chatgpt"})
if login.get("type") != "chatgpt" or not login.get("authUrl"):
raise RuntimeError(f"Codex App Server did not return a browser login URL: {login!r}")
task = asyncio.create_task(watch_codex_browser_login(process, read, write, login.get("loginId")))
_codex_login_tasks.add(task)
task.add_done_callback(_codex_login_tasks.discard)
return login
except Exception:
await stop_process(process)
raise
async def answer_codex_login_server_request(write: Any, message: dict[str, Any]) -> None:
if "id" not in message or "method" not in message:
return
await write(
{
"jsonrpc": "2.0",
"id": message["id"],
"error": {"code": -32601, "message": "TraderAI login does not handle server requests."},
}
)
async def watch_codex_browser_login(process: asyncio.subprocess.Process, read: Any, write: Any, login_id: str | None) -> None:
try:
while True:
message = await read(timeout=300)
if message.get("method") == "account/login/completed":
params = message.get("params") or {}
if login_id is None or params.get("loginId") == login_id:
return
await answer_codex_login_server_request(write, message)
except Exception:
return
finally:
await stop_process(process)
async def stop_process(process: asyncio.subprocess.Process) -> None:
if process.returncode is not None:
return
process.terminate()
try:
await asyncio.wait_for(process.wait(), timeout=3)
except asyncio.TimeoutError:
process.kill()
await process.wait()
async def inspect_codex_app_server(command: Path) -> tuple[dict[str, Any] | None, list[str], dict[str, list[str]]]:
process = await asyncio.create_subprocess_exec(
str(command),
"app-server",
stdin=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
creationflags=subprocess.CREATE_NO_WINDOW if sys.platform == "win32" else 0,
)
request_id = 1
async def write(payload: dict[str, Any]) -> None:
if process.stdin is None:
raise RuntimeError("Codex App Server stdin is unavailable.")
process.stdin.write((json.dumps(payload, ensure_ascii=True) + "\n").encode("utf-8"))
await process.stdin.drain()
async def read(timeout: int = 30) -> dict[str, Any]:
if process.stdout is None:
raise RuntimeError("Codex App Server stdout is unavailable.")
line = await asyncio.wait_for(process.stdout.readline(), timeout=timeout)
if not line:
stderr = ""
if process.stderr is not None:
try:
stderr = (await asyncio.wait_for(process.stderr.read(), timeout=1)).decode("utf-8", errors="replace").strip()
except asyncio.TimeoutError:
stderr = ""
raise RuntimeError(stderr or "Codex App Server exited without a response.")
return json.loads(line.decode("utf-8", errors="replace"))
async def send(method: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
nonlocal request_id
current_id = request_id
request_id += 1
payload: dict[str, Any] = {"jsonrpc": "2.0", "id": current_id, "method": method}
if params is not None:
payload["params"] = params
await write(payload)
while True:
message = await read()
if message.get("id") == current_id:
if message.get("error"):
error = message["error"]
raise RuntimeError(error.get("message") or f"Codex App Server request failed: {error}")
return message.get("result") or {}
if "id" in message and "method" in message:
await write(
{
"jsonrpc": "2.0",
"id": message["id"],
"error": {"code": -32601, "message": "TraderAI status checks do not handle server requests."},
}
)
try:
await send(
"initialize",
{
"clientInfo": {"name": "TraderAI", "version": __version__},
"capabilities": {"experimentalApi": True},
},
)
await write({"jsonrpc": "2.0", "method": "initialized", "params": {}})
account_result = await send("account/read", {"refreshToken": False})
models: list[str] = []
effort_map: dict[str, list[str]] = {}
cursor: str | None = None
for _ in range(20):
params: dict[str, Any] = {"limit": 50, "includeHidden": False}
if cursor:
params["cursor"] = cursor
page = await send("model/list", params)
for item in page.get("data") or []:
model = item.get("id") or item.get("model")
if not model:
continue
models.append(model)
efforts = [
effort.get("reasoningEffort")
for effort in item.get("supportedReasoningEfforts", [])
if effort.get("reasoningEffort")
]
if efforts:
effort_map[model] = efforts
cursor = page.get("nextCursor")
if not cursor:
break
return account_result.get("account"), sorted(set(models)), effort_map
finally:
if process.returncode is None:
process.terminate()
try:
await asyncio.wait_for(process.wait(), timeout=3)
except asyncio.TimeoutError:
process.kill()
await process.wait()
def codex_models() -> list[str]:
cache_path = Path.home() / ".codex" / "models_cache.json"
if not cache_path.exists():
return []
try:
body = json.loads(cache_path.read_text(encoding="utf-8"))
except (OSError, ValueError):
return []
models = []
for item in body.get("models", []):
slug = item.get("slug")
if slug:
models.append(slug)
return sorted(set(models))
def codex_reasoning_efforts(model: str, effort_map: dict[str, list[str]] | None = None) -> list[str]:
if effort_map and effort_map.get(model):
return effort_map[model]
cache_path = Path.home() / ".codex" / "models_cache.json"
if not cache_path.exists():
return reasoning_effort_options()
try:
body = json.loads(cache_path.read_text(encoding="utf-8"))
except (OSError, ValueError):
return reasoning_effort_options()
for item in body.get("models", []):
if item.get("slug") != model:
continue
efforts = [entry.get("effort") for entry in item.get("supported_reasoning_levels", []) if entry.get("effort")]
return efforts or reasoning_effort_options()
return reasoning_effort_options()
def reasoning_effort_options() -> list[str]:
return ["none", "minimal", "low", "medium", "high", "xhigh"]
def find_ollama_executable() -> Path | None:
candidates = [
shutil.which("ollama"),
@@ -576,6 +1108,13 @@ def popen_hidden(command: list[str]) -> subprocess.Popen:
return subprocess.Popen(command, **kwargs)
def exception_detail(exc: BaseException) -> str:
text = str(exc).strip()
if text:
return text
return f"{type(exc).__name__}: {exc!r}"
async def inspect_update() -> dict[str, Any]:
try:
latest = await latest_release()
+113
View File
@@ -0,0 +1,113 @@
from __future__ import annotations
from typing import Any
from urllib.parse import quote
import httpx
class StarCitizenWikiError(RuntimeError):
pass
class StarCitizenWikiClient:
def __init__(
self,
base_url: str = "https://starcitizen.tools",
api_base_url: str = "https://api.star-citizen.wiki",
) -> None:
self.base_url = base_url.rstrip("/")
self.api_base_url = api_base_url.rstrip("/")
async def search_pages(self, query: str, limit: int = 5) -> list[dict[str, Any]]:
body = await self._get_json(
f"{self.base_url}/api.php",
params={
"action": "query",
"generator": "prefixsearch",
"gpssearch": query,
"gpslimit": max(1, min(limit, 10)),
"prop": "description|pageimages|extracts",
"exintro": 1,
"explaintext": 1,
"exchars": 320,
"piprop": "thumbnail",
"pithumbsize": 240,
"format": "json",
},
)
pages = body.get("query", {}).get("pages", {})
ordered = sorted(
(item for item in pages.values() if isinstance(item, dict)),
key=lambda item: int(item.get("index") or 0),
)
return [
{
"pageid": item.get("pageid"),
"title": item.get("title"),
"description": item.get("description"),
"extract": item.get("extract"),
"thumbnail": (item.get("thumbnail") or {}).get("source"),
"url": f"{self.base_url}/{quote(str(item.get('title') or '').replace(' ', '_'), safe=':/_')}",
}
for item in ordered
if item.get("title")
]
async def get_page_summary(self, title: str | None = None, pageid: int | None = None, chars: int = 700) -> dict[str, Any] | None:
params: dict[str, Any] = {
"action": "query",
"prop": "extracts|description|pageimages",
"exintro": 1,
"explaintext": 1,
"exchars": max(120, min(chars, 1200)),
"piprop": "thumbnail",
"pithumbsize": 320,
"format": "json",
}
if pageid is not None:
params["pageids"] = pageid
elif title:
params["titles"] = title
else:
raise StarCitizenWikiError("title or pageid is required")
body = await self._get_json(f"{self.base_url}/api.php", params=params)
pages = body.get("query", {}).get("pages", {})
for item in pages.values():
if isinstance(item, dict) and item.get("pageid") and item.get("title"):
return {
"pageid": item.get("pageid"),
"title": item.get("title"),
"description": item.get("description"),
"extract": item.get("extract"),
"thumbnail": (item.get("thumbnail") or {}).get("source"),
"url": f"{self.base_url}/{quote(str(item.get('title') or '').replace(' ', '_'), safe=':/_')}",
}
return None
async def search_verse(self, query: str) -> list[dict[str, Any]]:
body = await self._get_json(
f"{self.api_base_url}/api/search",
params={"filter[query]": query},
)
data = body.get("data")
return data if isinstance(data, list) else []
async def get_vehicle(self, slug: str) -> dict[str, Any]:
body = await self._get_json(f"{self.api_base_url}/api/vehicles/{slug.strip('/')}")
data = body.get("data")
if not isinstance(data, dict):
raise StarCitizenWikiError(f"Vehicle response for {slug} was not an object.")
return data
async def _get_json(self, url: str, params: dict[str, Any] | None = None) -> Any:
async with httpx.AsyncClient(timeout=30, follow_redirects=True) as client:
response = await client.get(url, params=params, headers={"Accept": "application/json"})
try:
body = response.json()
except ValueError as exc:
raise StarCitizenWikiError(f"Star Citizen Wiki returned non-JSON response: HTTP {response.status_code}") from exc
if response.status_code >= 400:
raise StarCitizenWikiError(f"Star Citizen Wiki HTTP {response.status_code}: {body}")
return body
+383 -16
View File
@@ -1,6 +1,8 @@
from __future__ import annotations
import uuid
from contextlib import contextmanager
from contextvars import ContextVar
from dataclasses import dataclass
from typing import Any, Awaitable, Callable
@@ -8,6 +10,7 @@ from traderai.cornerstone_client import CornerstoneClient, parse_cornerstone_ite
from traderai.memory import MemoryStore
from traderai.scheduler import WakeScheduler
from traderai.scmdb_client import SCMDBClient
from traderai.starcitizen_wiki_client import StarCitizenWikiClient
from traderai.uex_client import UEXClient
@@ -56,10 +59,14 @@ UEX_GET_RESOURCES: dict[str, dict[str, Any]] = {
"marketplace_averages": {"params": ["id_item", "item_name", "item_slug"], "auth": False, "group": "marketplace"},
"marketplace_averages_all": {"params": [], "auth": False, "group": "marketplace", "heavy": True},
"marketplace_favorites": {"params": ["id_listing"], "auth": True, "group": "marketplace"},
"marketplace_listings": {"params": ["id", "slug", "username"], "auth": False, "group": "marketplace"},
"marketplace_listings": {"params": ["id", "slug", "username", "id_item", "operation"], "auth": False, "group": "marketplace"},
"marketplace_negotiations": {"params": ["id", "id_listing", "hash"], "auth": True, "group": "marketplace"},
"marketplace_negotiations_messages": {"params": ["hash", "id_negotiation"], "auth": True, "group": "marketplace"},
"marketplace_prices_averages": {"params": ["id_item", "item_name", "item_slug"], "auth": False, "group": "marketplace"},
"marketplace_prices_averages": {
"params": ["id_item", "item_name", "item_slug", "id_category", "currency", "quality_tier"],
"auth": False,
"group": "marketplace",
},
"marketplace_prices_averages_all": {"params": [], "auth": False, "group": "marketplace", "heavy": True},
"marketplace_prices_history": {
"params": [
@@ -81,7 +88,11 @@ UEX_GET_RESOURCES: dict[str, dict[str, Any]] = {
"group": "marketplace",
"history": True,
},
"marketplace_trends": {"params": ["id_item", "item_name", "item_slug"], "auth": False, "group": "marketplace"},
"marketplace_trends": {
"params": ["id_item", "item_name", "item_slug", "id_category", "currency", "quality_tier"],
"auth": False,
"group": "marketplace",
},
"moons": {"params": ["id", "id_planet", "id_star_system", "name", "slug"], "auth": False, "group": "locations"},
"orbits": {"params": ["id", "id_star_system", "name", "slug"], "auth": False, "group": "locations"},
"orbits_distances": {"params": ["id_origin", "id_destination"], "auth": False, "group": "locations"},
@@ -160,21 +171,25 @@ class ToolRegistry:
scheduler: WakeScheduler | None = None,
scmdb: SCMDBClient | None = None,
cornerstone: CornerstoneClient | None = None,
scwiki: StarCitizenWikiClient | None = None,
plan_store: Any | None = None,
plan_runner: Any | None = None,
) -> None:
self.uex = uex
self.scmdb = scmdb or SCMDBClient()
self.cornerstone = cornerstone or CornerstoneClient()
self.scwiki = scwiki or StarCitizenWikiClient()
self.require_write_approval = require_write_approval
self.memory = memory
self.scheduler = scheduler
self.plan_store = plan_store
self.plan_runner = plan_runner
self.pending_actions: dict[str, PendingAction] = {}
self._chat_images_var: ContextVar[list[dict[str, Any]]] = ContextVar("chat_images", default=[])
self.handlers: dict[str, ToolHandler] = {
"search_marketplace_listings": self.search_marketplace_listings,
"get_marketplace_listing": self.get_marketplace_listing,
"get_marketplace_trends": self.get_marketplace_trends,
"list_marketplace_negotiations": self.list_marketplace_negotiations,
"get_negotiation_messages": self.get_negotiation_messages,
"draft_negotiation_message": self.draft_negotiation_message,
@@ -189,11 +204,16 @@ class ToolRegistry:
"pause_continual_plan": self.pause_continual_plan,
"resume_continual_plan": self.resume_continual_plan,
"cancel_continual_plan": self.cancel_continual_plan,
"delete_continual_plan": self.delete_continual_plan,
"run_continual_plan_now": self.run_continual_plan_now,
"check_uex_notifications": self.check_uex_notifications,
"list_scmdb_versions": self.list_scmdb_versions,
"search_scmdb_missions": self.search_scmdb_missions,
"get_scmdb_mission_rewards": self.get_scmdb_mission_rewards,
"search_scwiki_pages": self.search_scwiki_pages,
"get_scwiki_page": self.get_scwiki_page,
"search_scwiki_vehicles": self.search_scwiki_vehicles,
"get_scwiki_vehicle": self.get_scwiki_vehicle,
"search_cornerstone_items": self.search_cornerstone_items,
"get_cornerstone_item_locations": self.get_cornerstone_item_locations,
"get_cornerstone_item_media": self.get_cornerstone_item_media,
@@ -223,6 +243,7 @@ class ToolRegistry:
*self._uex_post_schemas(),
*self._uex_delete_schemas(),
*self._scmdb_schemas(),
*self._scwiki_schemas(),
*self._cornerstone_schemas(),
{
"type": "function",
@@ -258,6 +279,24 @@ class ToolRegistry:
},
},
},
{
"type": "function",
"function": {
"name": "get_marketplace_trends",
"description": "Fetch current UEX marketplace trend metrics for an item, including WTS and WTB averages plus negotiation counts.",
"parameters": {
"type": "object",
"properties": {
"id_item": {"type": "integer"},
"item_name": {"type": "string"},
"item_slug": {"type": "string"},
"id_category": {"type": "integer"},
"currency": {"type": "string", "description": "Optional currency filter such as UEC, WIF, or MGS."},
"quality_tier": {"type": "integer", "minimum": 0, "maximum": 7},
},
},
},
},
{
"type": "function",
"function": {
@@ -334,10 +373,19 @@ class ToolRegistry:
"source": {"type": "string"},
"availability": {"type": "string"},
"in_stock": {"type": "integer"},
"durability": {"type": "integer", "minimum": 0, "maximum": 100},
"video_url": {"type": "string"},
"image_data": {"type": "string", "description": "Base64 JPG or PNG image data for UEX upload."},
"hours_expiration": {"type": "integer"},
"durability": {"type": "integer", "minimum": 0, "maximum": 100},
"video_url": {"type": "string"},
"image_data": {"type": "string", "description": "Base64 JPG or PNG image data for UEX upload."},
"use_attached_image": {
"type": "boolean",
"description": "When true, reuse an image pasted into the current chat as the listing image_data.",
},
"attached_image_index": {
"type": "integer",
"minimum": 0,
"description": "Zero-based pasted image index to reuse when use_attached_image is true.",
},
"hours_expiration": {"type": "integer"},
"is_hidden": {"type": "integer", "enum": [0, 1]},
"is_tv_allowed": {"type": "integer", "enum": [0, 1]},
"is_production": {"type": "integer", "enum": [0, 1], "default": 1},
@@ -468,6 +516,14 @@ class ToolRegistry:
"parameters": {"type": "object", "required": ["plan_id"], "properties": {"plan_id": {"type": "string"}}},
},
},
{
"type": "function",
"function": {
"name": "delete_continual_plan",
"description": "Delete a continual plan and all of its stored checklist items, candidates, negotiations, and event history.",
"parameters": {"type": "object", "required": ["plan_id"], "properties": {"plan_id": {"type": "string"}}},
},
},
{
"type": "function",
"function": {
@@ -495,6 +551,14 @@ class ToolRegistry:
except Exception as exc:
return {"error": str(exc)}
@contextmanager
def chat_image_scope(self, images: list[dict[str, Any]] | None):
token = self._chat_images_var.set(self._normalize_chat_images(images))
try:
yield
finally:
self._chat_images_var.reset(token)
async def approve(self, action_id: str) -> dict[str, Any]:
action = self.pending_actions.pop(action_id, None)
if not action:
@@ -945,6 +1009,68 @@ class ToolRegistry:
},
]
@classmethod
def _scwiki_schemas(cls) -> list[dict[str, Any]]:
return [
{
"type": "function",
"function": {
"name": "search_scwiki_pages",
"description": "Search Star Citizen Wiki pages on starcitizen.tools and return concise summaries for general game knowledge.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Page title or topic to search for."},
"limit": {"type": "integer", "minimum": 1, "maximum": 10, "default": 5},
},
},
},
},
{
"type": "function",
"function": {
"name": "get_scwiki_page",
"description": "Fetch one Star Citizen Wiki page summary by title or page id.",
"parameters": {
"type": "object",
"properties": {
"title": {"type": "string"},
"pageid": {"type": "integer"},
"chars": {"type": "integer", "minimum": 120, "maximum": 1200, "default": 700},
},
},
},
},
{
"type": "function",
"function": {
"name": "search_scwiki_vehicles",
"description": "Search Star Citizen Wiki structured vehicle data for ships and vehicles.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Ship or vehicle name to search for."},
"limit": {"type": "integer", "minimum": 1, "maximum": 10, "default": 5},
},
},
},
},
{
"type": "function",
"function": {
"name": "get_scwiki_vehicle",
"description": "Fetch one Star Citizen Wiki vehicle summary, including MSRP and in-game purchase locations when available.",
"parameters": {
"type": "object",
"properties": {
"slug": {"type": "string", "description": "Vehicle slug such as anvl-carrack."},
"query": {"type": "string", "description": "Vehicle name if the slug is not known."},
},
},
},
},
]
@classmethod
def _cornerstone_schemas(cls) -> list[dict[str, Any]]:
return [
@@ -1020,11 +1146,21 @@ class ToolRegistry:
"language": {"type": "string", "default": "en_US"},
"location": {"type": "string"},
"source": {"type": "string", "enum": ["looted", "pledged", "purchased_in_game", "pirated", "gifted"]},
"availability": {"type": "string"},
"in_stock": {"type": "integer"},
"durability": {"type": "integer", "minimum": 0, "maximum": 100},
"video_url": {"type": "string"},
"hours_expiration": {"type": "integer"},
"availability": {"type": "string"},
"in_stock": {"type": "integer"},
"durability": {"type": "integer", "minimum": 0, "maximum": 100},
"video_url": {"type": "string"},
"image_data": {"type": "string", "description": "Base64 JPG or PNG image data for UEX upload."},
"use_attached_image": {
"type": "boolean",
"description": "When true, reuse an image pasted into the current chat as the listing image_data instead of sourcing from Cornerstone.",
},
"attached_image_index": {
"type": "integer",
"minimum": 0,
"description": "Zero-based pasted image index to reuse when use_attached_image is true.",
},
"hours_expiration": {"type": "integer"},
"is_hidden": {"type": "integer", "enum": [0, 1]},
"is_tv_allowed": {"type": "integer", "enum": [0, 1]},
"is_production": {"type": "integer", "enum": [0, 1], "default": 1},
@@ -1183,6 +1319,49 @@ class ToolRegistry:
response = await self.uex.get("marketplace_listings", {"id": id, "slug": slug})
return {"listing": response.get("data")}
async def get_marketplace_trends(
self,
id_item: int | None = None,
item_name: str | None = None,
item_slug: str | None = None,
id_category: int | None = None,
currency: str | None = None,
quality_tier: int | None = None,
) -> dict[str, Any]:
response = await self.uex.get(
"marketplace_trends",
{
"id_item": id_item,
"item_name": item_name,
"item_slug": item_slug,
"id_category": id_category,
"currency": currency,
"quality_tier": quality_tier,
},
)
trends = [
self._summarize_marketplace_trend(item)
for item in self._as_list(response.get("data"))
if isinstance(item, dict)
]
return {
"status": response.get("status"),
"count": len(trends),
"filters": {
key: value
for key, value in {
"id_item": id_item,
"item_name": item_name,
"item_slug": item_slug,
"id_category": id_category,
"currency": currency,
"quality_tier": quality_tier,
}.items()
if value is not None
},
"trends": trends,
}
async def list_marketplace_negotiations(
self,
id: int | None = None,
@@ -1225,7 +1404,15 @@ class ToolRegistry:
return self._pending("Send negotiation message", "marketplace_negotiations_messages", payload, metadata=metadata)
async def draft_marketplace_listing(self, **payload: Any) -> dict[str, Any]:
return self._pending("Post marketplace listing", "marketplace_advertise", payload)
attached_image = self._attach_chat_image(payload)
if attached_image.get("error"):
return {"error": attached_image["error"]}
return self._pending(
"Post marketplace listing",
"marketplace_advertise",
payload,
metadata=attached_image.get("metadata"),
)
async def draft_marketplace_listing_with_cornerstone_image(
self,
@@ -1234,6 +1421,9 @@ class ToolRegistry:
**payload: Any,
) -> dict[str, Any]:
require_image = bool(payload.pop("require_image", False))
attached_image = self._attach_chat_image(payload)
if attached_image.get("error"):
return {"error": attached_image["error"]}
item = await self._resolve_cornerstone_item(id=cornerstone_id, query=item_query)
if not item:
return {"error": "No Cornerstone item matched. Provide cornerstone_id or a more specific item_query."}
@@ -1250,9 +1440,9 @@ class ToolRegistry:
except Exception as exc:
image_error = str(exc)
if image_result:
if image_result and not payload.get("image_data"):
payload["image_data"] = image_result["image_data"]
elif require_image:
elif require_image and not payload.get("image_data"):
return {
"error": "Cornerstone item matched, but no usable JPG/PNG image could be sourced.",
"cornerstone": {
@@ -1271,9 +1461,11 @@ class ToolRegistry:
"cornerstone_image_url": image_result.get("url") if image_result else None,
"cornerstone_image_content_type": image_result.get("content_type") if image_result else None,
"cornerstone_image_size_bytes": image_result.get("size_bytes") if image_result else None,
"cornerstone_image_status": "included" if image_result else "not_found",
"cornerstone_image_status": "user_attached" if attached_image.get("metadata") else ("included" if image_result else "not_found"),
"cornerstone_image_error": image_error or None,
}
if attached_image.get("metadata"):
metadata.update(attached_image["metadata"])
return self._pending("Post marketplace listing with Cornerstone image", "marketplace_advertise", payload, metadata=metadata)
async def remember_user_fact(self, content: str, kind: str = "note", importance: int = 3) -> dict[str, Any]:
@@ -1362,6 +1554,19 @@ class ToolRegistry:
self.scheduler.unschedule_plan(plan_id)
return {"plan": self.plan_store.set_status(plan_id, "canceled")}
async def delete_continual_plan(self, plan_id: str) -> dict[str, Any]:
if self.plan_store is None:
return {"error": "Continual plan store is not configured."}
plan = self.plan_store.get_plan(plan_id)
if not plan:
return {"error": f"Plan not found: {plan_id}"}
if self.scheduler is not None:
self.scheduler.unschedule_plan(plan_id)
deleted = self.plan_store.delete_plan(plan_id)
if not deleted:
return {"error": f"Plan not found: {plan_id}"}
return {"deleted": True, "plan_id": plan_id, "summary": f"Deleted plan {plan.get('title') or plan_id}."}
async def run_continual_plan_now(self, plan_id: str) -> dict[str, Any]:
if self.plan_runner is None:
return {"error": "Continual plan runner is not configured."}
@@ -1492,6 +1697,49 @@ class ToolRegistry:
"mission": self._summarize_scmdb_mission(data, mission, source=source, detailed=True),
}
async def search_scwiki_pages(self, query: str, limit: int = 5) -> dict[str, Any]:
pages = await self.scwiki.search_pages(query, limit=limit)
return {"source": self.scwiki.base_url, "query": query, "matched": len(pages), "pages": pages}
async def get_scwiki_page(
self,
title: str | None = None,
pageid: int | None = None,
chars: int = 700,
) -> dict[str, Any]:
page = await self.scwiki.get_page_summary(title=title, pageid=pageid, chars=chars)
if not page:
return {"error": "No Star Citizen Wiki page matched."}
return {"source": self.scwiki.base_url, "page": page}
async def search_scwiki_vehicles(self, query: str, limit: int = 5) -> dict[str, Any]:
groups = await self.scwiki.search_verse(query)
vehicles_group = next((item for item in groups if item.get("type") == "vehicles"), None)
results = [
self._summarize_scwiki_vehicle_search(item)
for item in (vehicles_group or {}).get("results", [])[: max(1, min(limit, 10))]
if isinstance(item, dict)
]
return {"source": self.scwiki.api_base_url, "query": query, "matched": len(results), "vehicles": results}
async def get_scwiki_vehicle(self, slug: str | None = None, query: str | None = None) -> dict[str, Any]:
resolved_slug = slug
if not resolved_slug:
if not query:
return {"error": "Provide slug or query."}
groups = await self.scwiki.search_verse(query)
vehicles_group = next((item for item in groups if item.get("type") == "vehicles"), None)
candidates = [
item
for item in (vehicles_group or {}).get("results", [])
if isinstance(item, dict) and item.get("api_url")
]
if not candidates:
return {"error": "No Star Citizen Wiki vehicle matched."}
resolved_slug = str(candidates[0]["api_url"]).rstrip("/").rsplit("/", 1)[-1]
vehicle = await self.scwiki.get_vehicle(resolved_slug)
return {"source": self.scwiki.api_base_url, "vehicle": self._summarize_scwiki_vehicle(vehicle)}
async def search_cornerstone_items(
self,
query: str = "",
@@ -1625,6 +1873,48 @@ class ToolRegistry:
display["image_data"] = f"<base64 image data redacted; {len(image_data)} characters>"
return display
def _attach_chat_image(self, payload: dict[str, Any]) -> dict[str, Any]:
attached_index = payload.pop("attached_image_index", None)
use_attached_image = bool(payload.pop("use_attached_image", False) or attached_index is not None)
if payload.get("image_data") or not use_attached_image:
return {}
image = self._chat_image(attached_index or 0)
if not image:
return {"error": "No pasted chat image is available at the requested attached_image_index."}
payload["image_data"] = image["image_data"]
return {
"metadata": {
"attached_chat_image_name": image.get("name"),
"attached_chat_image_content_type": image.get("content_type"),
"attached_chat_image_index": attached_index or 0,
"attached_chat_image_status": "included",
}
}
def _chat_image(self, index: int) -> dict[str, Any] | None:
images = self._chat_images_var.get()
if 0 <= index < len(images):
return images[index]
return None
@staticmethod
def _normalize_chat_images(images: list[dict[str, Any]] | None) -> list[dict[str, Any]]:
normalized: list[dict[str, Any]] = []
for image in images or []:
if not isinstance(image, dict):
continue
image_data = str(image.get("image_data") or "").strip()
if not image_data:
continue
normalized.append(
{
"name": str(image.get("name") or "").strip() or "pasted-image.png",
"content_type": str(image.get("content_type") or "image/png").strip() or "image/png",
"image_data": image_data,
}
)
return normalized
@staticmethod
def _int_or_none(value: Any) -> int | None:
try:
@@ -2125,6 +2415,83 @@ class ToolRegistry:
"expires_at": listing.get("date_expiration"),
}
@staticmethod
def _summarize_marketplace_trend(trend: dict[str, Any]) -> dict[str, Any]:
return {
"id_item": trend.get("id_item"),
"item_name": trend.get("item_name"),
"item_slug": trend.get("item_slug"),
"currency": trend.get("currency"),
"sell": {
"avg_price": trend.get("price_avg_sell"),
"avg_price_month": trend.get("price_avg_month_sell"),
"min_price": trend.get("price_min_sell"),
"max_price": trend.get("price_max_sell"),
"listings_count": trend.get("listings_count_sell"),
},
"buy": {
"avg_price": trend.get("price_avg_buy"),
"avg_price_month": trend.get("price_avg_month_buy"),
"min_price": trend.get("price_min_buy"),
"max_price": trend.get("price_max_buy"),
"listings_count": trend.get("listings_count_buy"),
},
"total_listings_count": trend.get("total_listings_count"),
"negotiations_count": trend.get("negotiations_count"),
"negotiations_open": trend.get("negotiations_open"),
"negotiations_success": trend.get("negotiations_success"),
"link_prices": trend.get("link_prices"),
"link_prices_history": trend.get("link_prices_history"),
}
@staticmethod
def _summarize_scwiki_vehicle_search(vehicle: dict[str, Any]) -> dict[str, Any]:
return {
"name": vehicle.get("name"),
"class_name": vehicle.get("class_name"),
"career": vehicle.get("extra_label"),
"api_url": vehicle.get("api_url"),
"web_url": vehicle.get("web_url"),
}
@staticmethod
def _summarize_scwiki_vehicle(vehicle: dict[str, Any]) -> dict[str, Any]:
purchases = []
for entry in ((vehicle.get("uex_prices") or {}).get("purchase") or []):
if not isinstance(entry, dict):
continue
location = entry.get("starmap_location") or {}
purchases.append(
{
"price_buy": entry.get("price_buy"),
"terminal_name": entry.get("terminal_name"),
"location": location.get("name"),
"parent_location": location.get("parent_name"),
"star_system": location.get("star_system_name"),
"game_version": entry.get("game_version"),
"date_updated": entry.get("date_updated"),
"uex_link": entry.get("uex_link"),
}
)
return {
"name": vehicle.get("name") or vehicle.get("game_name"),
"game_name": vehicle.get("game_name"),
"slug": vehicle.get("slug"),
"manufacturer": (vehicle.get("manufacturer") or {}).get("name"),
"career": vehicle.get("career"),
"role": vehicle.get("role"),
"size_class": vehicle.get("size_class"),
"cargo_capacity": vehicle.get("cargo_capacity"),
"crew": vehicle.get("crew"),
"msrp": vehicle.get("msrp"),
"pledge_url": vehicle.get("pledge_url"),
"purchase_locations": purchases,
"description": ((vehicle.get("description") or {}).get("en_EN") or (vehicle.get("game_description") or {}).get("en_EN")),
"web_url": vehicle.get("web_url"),
"updated_at": vehicle.get("updated_at"),
"version": vehicle.get("version"),
}
@classmethod
def _summarize_negotiation(cls, negotiation: dict[str, Any]) -> dict[str, Any]:
summary = cls._project_item(negotiation, mode="summary")
+3 -1
View File
@@ -1,6 +1,6 @@
from __future__ import annotations
__version__ = "0.0.5"
__version__ = "0.0.6"
RELEASES_URL = "https://git.hudsonriggs.systems/LambdaBankingConglomerate/TraderAI/releases"
RELEASES_API_URL = "https://git.hudsonriggs.systems/api/v1/repos/LambdaBankingConglomerate/TraderAI/releases"
@@ -11,3 +11,5 @@ RELEASES_API_URL = "https://git.hudsonriggs.systems/api/v1/repos/LambdaBankingCo
Generated
+3 -1
View File
@@ -755,7 +755,7 @@ wheels = [
[[package]]
name = "traderai"
version = "0.0.5"
version = "0.0.6"
source = { virtual = "." }
dependencies = [
{ name = "apscheduler" },
@@ -1051,3 +1051,5 @@ wheels = [
+518 -50
View File
@@ -1,5 +1,6 @@
const form = document.getElementById("chat-form");
const input = document.getElementById("message-input");
const composerImagesEl = document.getElementById("composer-images");
const messages = document.getElementById("messages");
const statusEl = document.getElementById("status");
const pendingEl = document.getElementById("pending-actions");
@@ -25,6 +26,10 @@ const ollamaDownloadButton = document.getElementById("ollama-download");
const ollamaInstallButton = document.getElementById("ollama-install");
const ollamaLaunchButton = document.getElementById("ollama-launch");
const ollamaPullButton = document.getElementById("ollama-pull");
const codexLoginButton = document.getElementById("codex-login");
const openaiModelsRefreshButton = document.getElementById("openai-models-refresh");
const providerModelSelect = document.getElementById("provider-model-select");
const modelReasoningEffortSelect = document.getElementById("model-reasoning-effort");
const ollamaStatusEl = document.getElementById("ollama-status");
const ollamaMessageEl = document.getElementById("ollama-message");
const updateCheckButton = document.getElementById("update-check");
@@ -55,31 +60,60 @@ const planForm = document.getElementById("plan-form");
const plansStatusEl = document.getElementById("plans-status");
const plansDashboardEl = document.getElementById("plans-dashboard");
const plansRailListEl = document.getElementById("plans-rail-list");
const providerScopedFields = Array.from(document.querySelectorAll("[data-provider-scope]"));
let ollamaOnline = true;
let latestUpdate = null;
let currentThreadId = "default";
let currentNegotiationId = null;
let latestOllamaStatus = null;
let composerImages = [];
const clickedOllamaActions = new Set();
if (window.lucide) {
window.lucide.createIcons();
}
function addMessage(role, text) {
function addMessage(role, text, options = {}) {
const node = document.createElement("div");
node.className = `message ${role}`;
setMessageMarkdown(node, text);
setMessageMarkdown(node, text, options);
messages.appendChild(node);
messages.scrollTop = messages.scrollHeight;
return node;
}
function setMessageMarkdown(node, text) {
function setMessageMarkdown(node, text, options = {}) {
const body = node.querySelector(".message-body") || node;
body.innerHTML = renderMarkdown(text);
enhanceNegotiationLinks(body);
body.innerHTML = "";
const attachedImages = options.images || [];
if (attachedImages.length) {
body.appendChild(renderImageGallery(attachedImages));
}
if (text) {
const markdown = document.createElement("div");
markdown.innerHTML = renderMarkdown(text);
body.appendChild(markdown);
enhanceNegotiationLinks(markdown);
}
}
function renderImageGallery(images) {
const gallery = document.createElement("div");
gallery.className = "message-images";
for (const image of images) {
const card = document.createElement("div");
card.className = "message-image";
const preview = document.createElement("img");
preview.src = image.preview_url || `data:${image.content_type || "image/png"};base64,${image.image_data}`;
preview.alt = image.name || "Attached image";
const label = document.createElement("span");
label.className = "message-image-label";
label.textContent = image.name || "Attached image";
card.append(preview, label);
gallery.appendChild(card);
}
return gallery;
}
function setMessageActivity(node, text, active = false) {
@@ -459,6 +493,74 @@ function escapeHtml(text) {
.replace(/'/g, "&#039;");
}
function composerImageId() {
if (window.crypto?.randomUUID) return window.crypto.randomUUID();
return `image-${Date.now()}-${Math.random().toString(16).slice(2)}`;
}
function readFileAsDataUrl(file) {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = () => resolve(String(reader.result || ""));
reader.onerror = () => reject(reader.error || new Error(`Could not read ${file.name || "image"}`));
reader.readAsDataURL(file);
});
}
async function addComposerImages(files) {
const additions = [];
for (const file of files) {
if (!file || !String(file.type || "").startsWith("image/")) continue;
const previewUrl = await readFileAsDataUrl(file);
const [, imageData = ""] = previewUrl.split(",", 2);
if (!imageData) continue;
additions.push({
id: composerImageId(),
name: file.name || `pasted-image-${composerImages.length + additions.length + 1}.png`,
content_type: file.type || "image/png",
image_data: imageData,
preview_url: previewUrl,
});
}
if (!additions.length) return;
composerImages = [...composerImages, ...additions];
renderComposerImages();
}
function removeComposerImage(imageId) {
composerImages = composerImages.filter((image) => image.id !== imageId);
renderComposerImages();
}
function clearComposerImages() {
composerImages = [];
renderComposerImages();
}
function renderComposerImages() {
if (!composerImagesEl) return;
composerImagesEl.innerHTML = "";
composerImagesEl.hidden = !composerImages.length;
for (const image of composerImages) {
const card = document.createElement("div");
card.className = "composer-image";
const preview = document.createElement("img");
preview.src = image.preview_url;
preview.alt = image.name || "Pasted image";
const remove = document.createElement("button");
remove.type = "button";
remove.className = "composer-image-remove";
remove.textContent = "×";
remove.title = "Remove image";
remove.addEventListener("click", () => removeComposerImage(image.id));
const label = document.createElement("span");
label.className = "composer-image-name";
label.textContent = image.name || "Pasted image";
card.append(preview, remove, label);
composerImagesEl.appendChild(card);
}
}
function formatMetrics(event) {
const read = formatTokenMetric(event.reading_tokens, event.reading_tokens_per_second);
const wrote = formatTokenMetric(event.writing_tokens, event.writing_tokens_per_second);
@@ -494,9 +596,16 @@ const configFieldIds = {
};
const ollamaFieldIds = {
model_provider: "model-provider",
ollama_base_url: "ollama-base-url",
ollama_model: "ollama-model",
ollama_num_ctx: "ollama-num-ctx",
openai_base_url: "openai-base-url",
openai_api_key: "openai-api-key",
openai_model: "openai-model",
model_reasoning_effort: "model-reasoning-effort",
codex_command: "codex-command",
codex_model: "codex-model",
};
async function refreshConfig() {
@@ -527,8 +636,15 @@ function renderConfig(config) {
for (const [key, id] of Object.entries(ollamaFieldIds)) {
const field = document.getElementById(id);
if (!field) continue;
field.value = values[key] ?? "";
if (field.type === "password") {
field.value = "";
field.placeholder = secretsConfigured[key] ? "Configured" : "";
} else {
field.value = values[key] ?? "";
}
}
renderReasoningEffortOptions(["none", "minimal", "low", "medium", "high", "xhigh"], values.model_reasoning_effort || "medium");
updateProviderFieldVisibility(values.model_provider || "ollama");
configPathsEl.textContent = `App data: ${config.app_data_dir}\nConfig: ${config.config_path}\nLog: ${config.log_path}\nEdge profile: ${config.edge_profile_dir}`;
configStatusEl.textContent = "";
}
@@ -565,7 +681,7 @@ async function saveOllamaConfig(event) {
if (!field) continue;
values[key] = field.value;
}
setOllamaMessage("Saving Ollama config");
setOllamaMessage("Saving provider config");
try {
const response = await fetch("/api/config", {
method: "POST",
@@ -577,46 +693,79 @@ async function saveOllamaConfig(event) {
setOllamaMessage(result.message || "Saved");
await refreshOllamaStatus();
} catch (error) {
setOllamaMessage(`Ollama config save failed: ${fetchErrorMessage(error)}`);
setOllamaMessage(`Provider config save failed: ${fetchErrorMessage(error)}`);
}
}
async function refreshOllamaStatus() {
if (!ollamaStatusEl) return;
ollamaStatusEl.textContent = "Checking Ollama";
ollamaStatusEl.textContent = "Checking provider";
try {
const response = await fetch("/api/ollama/status");
const status = await response.json();
renderOllamaStatus(status);
} catch (error) {
ollamaStatusEl.textContent = `Ollama status failed: ${error.message}`;
ollamaStatusEl.textContent = `Provider status failed: ${error.message}`;
}
}
function renderOllamaStatus(status) {
if (!ollamaStatusEl) return;
latestOllamaStatus = status;
updateProviderFieldVisibility(status.provider || "ollama");
const provider = providerDisplayName(status.provider);
const models = status.models?.length ? status.models.join(", ") : "None detected";
const pillClass = status.installed && status.running && status.model_available ? "status-pill" : "status-pill warning";
const isOpenAIProvider = status.provider === "openai";
const isCodexProvider = status.provider === "codex";
const ready = isOpenAIProvider
? Boolean(status.online && status.model_available)
: Boolean(status.installed && status.running && status.model_available);
const pillClass = ready ? "status-pill" : "status-pill warning";
const detailItems = [
ollamaStatusItem("Provider", provider),
ollamaStatusItem("Model", status.configured_model || ""),
ollamaStatusItem(isCodexProvider ? "Command" : "URL", status.base_url || ""),
];
if (!isOpenAIProvider && !isCodexProvider) {
detailItems.splice(1, 0, ollamaStatusItem("Installed", status.installed ? "Yes" : "No"));
detailItems.splice(2, 0, ollamaStatusItem("Running", status.running ? "Yes" : "No"));
detailItems.push(ollamaStatusItem("Pulled", status.model_available ? "Yes" : "No"));
if (status.can_auto_install) detailItems.push(ollamaStatusItem("Auto Install", "Available"));
if (status.num_ctx) detailItems.push(ollamaStatusItem("Context", status.num_ctx));
} else {
detailItems.splice(1, 0, ollamaStatusItem("Connected", status.online ? "Yes" : "No"));
}
ollamaStatusEl.innerHTML = `
<div class="${pillClass}">${escapeHtml(status.message || "Unknown")}</div>
<div class="ollama-status-grid">
${ollamaStatusItem("Installed", status.installed ? "Yes" : "No")}
${ollamaStatusItem("Running", status.running ? "Yes" : "No")}
${ollamaStatusItem("Model", status.configured_model || "")}
${ollamaStatusItem("Pulled", status.model_available ? "Yes" : "No")}
${ollamaStatusItem("URL", status.base_url || "")}
${status.can_auto_install ? ollamaStatusItem("Auto Install", "Available") : ""}
${detailItems.join("")}
</div>
${ollamaStatusItem("Installed Models", models)}
${ollamaStatusItem(isOpenAIProvider || isCodexProvider ? "Available Models" : "Installed Models", models)}
${status.detail ? ollamaStatusItem("Detail", status.detail) : ""}
`;
if (ollamaDownloadButton) ollamaDownloadButton.hidden = isOpenAIProvider || isCodexProvider;
if (ollamaInstallButton) {
ollamaInstallButton.hidden = !status.can_auto_install;
ollamaInstallButton.hidden = isOpenAIProvider || isCodexProvider || !status.can_auto_install;
ollamaInstallButton.disabled = Boolean(status.installed) || !status.can_auto_install;
}
if (ollamaLaunchButton) ollamaLaunchButton.disabled = !status.installed || Boolean(status.running);
if (ollamaPullButton) ollamaPullButton.disabled = !status.running || Boolean(status.model_available);
if (ollamaLaunchButton) {
ollamaLaunchButton.hidden = isOpenAIProvider || isCodexProvider;
ollamaLaunchButton.disabled = !status.installed || Boolean(status.running);
}
if (ollamaPullButton) {
ollamaPullButton.hidden = isOpenAIProvider || isCodexProvider;
ollamaPullButton.disabled = !status.running || Boolean(status.model_available);
}
if (codexLoginButton) {
codexLoginButton.hidden = !isCodexProvider;
codexLoginButton.disabled = Boolean(status.online);
}
if (openaiModelsRefreshButton) {
openaiModelsRefreshButton.hidden = false;
openaiModelsRefreshButton.disabled = false;
}
renderProviderModelOptions(status.models || [], status);
renderReasoningEffortOptions(status.reasoning_efforts || [], status.configured_reasoning_effort || "medium");
updateOllamaAttention(status);
}
@@ -659,12 +808,18 @@ function setOllamaButtonAttention(button, action, active) {
function updateOllamaAttention(status = null) {
const currentStatus = status || latestOllamaStatus;
if (!currentStatus) return;
const ready = Boolean(currentStatus.installed && currentStatus.running && currentStatus.model_available);
const isOpenAIProvider = currentStatus.provider === "openai";
const isCodexProvider = currentStatus.provider === "codex";
const ready = isOpenAIProvider
? Boolean(currentStatus.online && currentStatus.model_available)
: Boolean(currentStatus.installed && currentStatus.running && currentStatus.model_available);
ollamaToggle?.classList.toggle("attention-pulse", !ready);
setOllamaButtonAttention(ollamaDownloadButton, "download", !currentStatus.installed);
setOllamaButtonAttention(ollamaInstallButton, "install", !currentStatus.installed && currentStatus.can_auto_install);
setOllamaButtonAttention(ollamaLaunchButton, "launch", currentStatus.installed && !currentStatus.running);
setOllamaButtonAttention(ollamaPullButton, "pull", currentStatus.running && !currentStatus.model_available);
setOllamaButtonAttention(ollamaDownloadButton, "download", !isOpenAIProvider && !isCodexProvider && !currentStatus.installed);
setOllamaButtonAttention(ollamaInstallButton, "install", !isOpenAIProvider && !isCodexProvider && !currentStatus.installed && currentStatus.can_auto_install);
setOllamaButtonAttention(ollamaLaunchButton, "launch", !isOpenAIProvider && !isCodexProvider && currentStatus.installed && !currentStatus.running);
setOllamaButtonAttention(ollamaPullButton, "pull", !isOpenAIProvider && !isCodexProvider && currentStatus.running && !currentStatus.model_available);
setOllamaButtonAttention(codexLoginButton, "codex-login", isCodexProvider && !currentStatus.online);
setOllamaButtonAttention(openaiModelsRefreshButton, "openai-models", isOpenAIProvider && !currentStatus.model_available);
if (ready) clickedOllamaActions.clear();
}
@@ -672,6 +827,137 @@ function configuredOllamaModel() {
return document.getElementById("ollama-model")?.value || "";
}
function updateProviderFieldVisibility(provider) {
for (const field of providerScopedFields) {
const scope = field.dataset.providerScope;
field.hidden = scope !== provider;
}
}
function renderProviderModelOptions(models, status = latestOllamaStatus) {
const datalist = document.getElementById("provider-models");
if (datalist) datalist.innerHTML = "";
for (const model of models) {
if (datalist) {
const option = document.createElement("option");
option.value = model;
datalist.appendChild(option);
}
}
if (!providerModelSelect) return;
const provider = status?.provider || document.getElementById("model-provider")?.value || "ollama";
const configuredModel = configuredProviderModel(provider);
providerModelSelect.innerHTML = "";
const allModels = [...new Set([configuredModel, ...models].filter(Boolean))];
if (!allModels.length) {
const option = document.createElement("option");
option.value = "";
option.textContent = "No models detected";
providerModelSelect.appendChild(option);
providerModelSelect.disabled = true;
return;
}
providerModelSelect.disabled = false;
for (const model of allModels) {
const option = document.createElement("option");
option.value = model;
option.textContent = model;
if (model === configuredModel) option.selected = true;
providerModelSelect.appendChild(option);
}
}
async function refreshOpenAIModels() {
setOllamaMessage("Loading provider models");
try {
const provider = document.getElementById("model-provider")?.value || latestOllamaStatus?.provider || "openai";
const response = await fetch(`/api/provider/models?provider=${encodeURIComponent(provider)}`);
const result = await response.json();
if (!response.ok) throw new Error(result.detail || `HTTP ${response.status}`);
renderProviderModelOptions(result.models || [], {
provider: result.provider || provider,
configured_model: configuredProviderModel(result.provider || provider),
});
setOllamaMessage(result.message || "Loaded provider models");
await refreshOllamaStatus();
} catch (error) {
setOllamaMessage(`Provider model load failed: ${fetchErrorMessage(error)}`);
}
}
async function launchCodexLogin() {
markOllamaActionClicked("codex-login");
setOllamaMessage("Starting Codex sign-in");
try {
const response = await fetch("/api/codex/login", { method: "POST" });
const result = await response.json();
if (!response.ok) throw new Error(result.detail || `HTTP ${response.status}`);
if (result.auth_url) {
window.open(result.auth_url, "_blank", "noopener,noreferrer");
}
setOllamaMessage(result.message || "Opened Codex sign-in in your browser. Waiting for completion...");
await waitForCodexLogin();
} catch (error) {
setOllamaMessage(`Codex sign-in failed: ${fetchErrorMessage(error)}`);
}
}
async function waitForCodexLogin() {
for (let attempt = 0; attempt < 80; attempt += 1) {
await new Promise((resolve) => setTimeout(resolve, attempt < 8 ? 1500 : 3000));
await refreshOllamaStatus();
const provider = latestOllamaStatus?.provider || "";
if (provider === "codex" && latestOllamaStatus?.online) {
setOllamaMessage("Codex sign-in complete.");
return;
}
}
setOllamaMessage("Codex sign-in opened. If you completed it, click Load Provider Models or refresh provider status.");
}
function renderReasoningEffortOptions(efforts, configured) {
if (!modelReasoningEffortSelect) return;
const options = [...new Set([...(efforts || []), configured || "medium"].filter(Boolean))];
modelReasoningEffortSelect.innerHTML = "";
for (const effort of options) {
const option = document.createElement("option");
option.value = effort;
option.textContent = effort;
if (effort === configured) option.selected = true;
modelReasoningEffortSelect.appendChild(option);
}
}
function configuredProviderModel(provider) {
if (provider === "openai") return document.getElementById("openai-model")?.value || "";
if (provider === "codex") return document.getElementById("codex-model")?.value || "";
return document.getElementById("ollama-model")?.value || "";
}
function syncSelectedProviderModel() {
const provider = document.getElementById("model-provider")?.value || "ollama";
const selectedModel = providerModelSelect?.value || "";
if (!selectedModel) return;
if (provider === "openai") {
const field = document.getElementById("openai-model");
if (field) field.value = selectedModel;
return;
}
if (provider === "codex") {
const field = document.getElementById("codex-model");
if (field) field.value = selectedModel;
return;
}
const field = document.getElementById("ollama-model");
if (field) field.value = selectedModel;
}
function providerDisplayName(provider) {
if (provider === "openai") return "OpenAI";
if (provider === "codex") return "Codex";
return "Local Ollama";
}
async function checkForUpdate(promptUser = false) {
if (!updateStatusEl) return;
updateStatusEl.textContent = "Checking releases";
@@ -1122,34 +1408,81 @@ function renderPlansRail(plans) {
async function renderPlans(plans, openPlanId = null) {
plansDashboardEl.innerHTML = "";
if (!plans.length) {
plansDashboardEl.innerHTML = '<div class="pending-empty">No continual plans</div>';
plansDashboardEl.innerHTML = `
<section class="plans-overview">
<div>
<p class="eyebrow">Plan board</p>
<h3>No plans yet</h3>
<p class="plan-overview-copy">Create a buying watchlist or a custom follow-up routine to start tracking work over time.</p>
</div>
</section>
<div class="plan-empty-state">
<h4>Nothing is running</h4>
<p>Your continual plans will appear here with status, timing, and recent activity.</p>
</div>
`;
return;
}
const activeCount = plans.filter((plan) => plan.status === "active").length;
const attentionCount = plans.filter((plan) => plan.status === "needs_input" || plan.status === "paused").length;
const overview = document.createElement("section");
overview.className = "plans-overview";
overview.innerHTML = `
<div>
<p class="eyebrow">Plan board</p>
<h3>${plans.length} continual ${plans.length === 1 ? "plan" : "plans"}</h3>
<p class="plan-overview-copy">Monitor recurring work, keep candidate leads in view, and jump into details when something needs attention.</p>
</div>
<div class="plan-overview-stats">
<div class="plan-overview-stat">
<span class="plan-overview-stat-value">${activeCount}</span>
<span class="plan-overview-stat-label">active</span>
</div>
<div class="plan-overview-stat">
<span class="plan-overview-stat-value">${attentionCount}</span>
<span class="plan-overview-stat-label">needs eyes</span>
</div>
</div>
`;
plansDashboardEl.appendChild(overview);
for (const plan of plans) {
const card = document.createElement("article");
card.className = `plan-card${plan.status === "active" ? " active" : ""}`;
card.className = `plan-card plan-status-${slugifyPlanValue(plan.status)}${plan.status === "active" ? " active" : ""}`;
const heading = document.createElement("div");
heading.className = "plan-card-heading";
const title = document.createElement("h3");
title.textContent = plan.title || "Untitled plan";
const statusBadge = document.createElement("span");
statusBadge.className = `plan-status-badge plan-status-${slugifyPlanValue(plan.status)}`;
statusBadge.textContent = humanizePlanValue(plan.status || "unknown");
const meta = document.createElement("div");
meta.className = "plan-meta";
meta.textContent = plan.objective || "";
const pills = document.createElement("div");
pills.className = "plan-pill-row";
for (const value of [plan.status, plan.kind, plan.next_run_at ? `next ${formatShortDate(plan.next_run_at)}` : "not scheduled"]) {
for (const value of [plan.kind, plan.next_run_at ? `next ${formatShortDate(plan.next_run_at)}` : "not scheduled"]) {
const pill = document.createElement("span");
pill.className = "plan-pill";
pill.textContent = value;
pill.textContent = humanizePlanValue(value);
pills.appendChild(pill);
}
const metrics = document.createElement("div");
metrics.className = "plan-metrics";
metrics.append(
planMetric("Checklist", String((plan.items || []).length)),
planMetric("Cadence", summarizeCadence(plan.cadence)),
planMetric("Updated", formatShortDate(plan.updated_at || plan.created_at))
);
const controls = document.createElement("div");
controls.className = "plan-controls";
controls.append(
planButton("Details", () => loadPlanDetail(plan.id, card)),
planButton("Run", () => postPlanAction(plan.id, "run")),
planButton(plan.status === "active" ? "Pause" : "Resume", () => postPlanAction(plan.id, plan.status === "active" ? "pause" : "resume")),
planButton("Cancel", () => postPlanAction(plan.id, "cancel"), "secondary small-button")
planButton("Delete", () => deletePlan(plan.id), "secondary small-button")
);
card.append(title, meta, pills, controls);
heading.append(title, statusBadge);
card.append(heading, meta, pills, metrics, controls);
plansDashboardEl.appendChild(card);
if (openPlanId && plan.id === openPlanId) await loadPlanDetail(plan.id, card);
}
@@ -1170,41 +1503,113 @@ async function loadPlanDetail(planId, card) {
existing.remove();
return;
}
const loading = document.createElement("div");
loading.className = "plan-detail plan-detail-loading";
loading.textContent = "Loading plan details...";
card.appendChild(loading);
const response = await fetch(`/api/plans/${encodeURIComponent(planId)}`);
const result = await response.json();
const plan = result.plan;
loading.remove();
const detail = document.createElement("div");
detail.className = "plan-detail";
detail.append(
planSection("Checklist", (plan.items || []).map((item) => `${item.item_name}: ${item.acquired_quantity || 0}/${item.desired_quantity || 1}${item.max_unit_price ? `, max ${Number(item.max_unit_price).toLocaleString()} UEC` : ""} (${item.status})`)),
planSection("Best Candidates", bestCandidateLines(plan)),
planSection("Recent Events", (plan.events || []).slice(0, 5).map((event) => `${formatShortDate(event.created_at)} ${event.kind}: ${event.message}`))
planSection("Checklist", checklistLines(plan), "checklist"),
planSection("Best Candidates", bestCandidateLines(plan), "candidates"),
planSection("Recent Events", recentEventLines(plan), "events")
);
card.appendChild(detail);
}
function planSection(title, lines) {
function planSection(title, lines, sectionClass = "") {
const wrapper = document.createElement("section");
wrapper.className = `plan-section${sectionClass ? ` plan-section-${sectionClass}` : ""}`;
const heading = document.createElement("h4");
heading.textContent = title;
const list = document.createElement("ul");
list.className = "plan-list";
const items = lines.length ? lines : ["Empty"];
const items = lines.length ? lines : [planListItemData("Empty", "Nothing to show right now.")];
for (const line of items) {
const item = document.createElement("li");
item.textContent = line;
if (typeof line === "string") {
item.textContent = line;
} else {
item.className = line.className || "";
const titleEl = document.createElement("div");
titleEl.className = "plan-list-title";
titleEl.textContent = line.title;
const bodyEl = document.createElement("div");
bodyEl.className = "plan-list-body";
bodyEl.textContent = line.body;
item.append(titleEl, bodyEl);
}
list.appendChild(item);
}
wrapper.append(heading, list);
return wrapper;
}
function planMetric(label, value) {
const metric = document.createElement("div");
metric.className = "plan-metric";
const metricLabel = document.createElement("span");
metricLabel.className = "plan-metric-label";
metricLabel.textContent = label;
const metricValue = document.createElement("span");
metricValue.className = "plan-metric-value";
metricValue.textContent = value;
metric.append(metricLabel, metricValue);
return metric;
}
function summarizeCadence(cadence) {
if (!cadence) return "manual";
return cadence.replace(/\s+/g, " ").trim();
}
function slugifyPlanValue(value) {
return String(value || "unknown")
.toLowerCase()
.replace(/[^a-z0-9]+/g, "-")
.replace(/(^-|-$)/g, "");
}
function humanizePlanValue(value) {
return String(value || "")
.replace(/_/g, " ")
.replace(/\b\w/g, (char) => char.toUpperCase());
}
function planListItemData(title, body, className = "") {
return { title, body, className };
}
function checklistLines(plan) {
return (plan.items || []).map((item) => {
const quantity = `${item.acquired_quantity || 0}/${item.desired_quantity || 1}`;
const price = item.max_unit_price ? `Max ${Number(item.max_unit_price).toLocaleString()} UEC` : "No price cap";
return planListItemData(item.item_name, `${quantity} acquired • ${price}${humanizePlanValue(item.status || "pending")}`);
});
}
function bestCandidateLines(plan) {
const byItem = new Map((plan.items || []).map((item) => [item.id, item.item_name]));
return (plan.candidates || [])
.filter((candidate) => candidate.status === "current" || candidate.status === "drafted")
.slice(0, 6)
.map((candidate) => `${byItem.get(candidate.plan_item_id) || "Item"}: ${candidate.title || candidate.listing_slug || candidate.listing_id} at ${Number(candidate.price || 0).toLocaleString()} ${candidate.currency || "UEC"} from ${candidate.seller || "unknown"} (${candidate.status})`);
.map((candidate) => {
const title = byItem.get(candidate.plan_item_id) || "Item";
const listing = candidate.title || candidate.listing_slug || candidate.listing_id || "Unnamed listing";
const price = `${Number(candidate.price || 0).toLocaleString()} ${candidate.currency || "UEC"}`;
const seller = candidate.seller || "unknown seller";
return planListItemData(title, `${listing}${price}${seller}${humanizePlanValue(candidate.status || "current")}`);
});
}
function recentEventLines(plan) {
return (plan.events || [])
.slice(0, 5)
.map((event) => planListItemData(`${formatShortDate(event.created_at)}${humanizePlanValue(event.kind || "event")}`, event.message || "No details."));
}
async function postPlanAction(planId, action) {
@@ -1222,6 +1627,22 @@ async function postPlanAction(planId, action) {
}
}
async function deletePlan(planId) {
if (!window.confirm("Delete this plan and its stored history?")) return;
plansStatusEl.textContent = "delete requested";
try {
const response = await fetch(`/api/plans/${encodeURIComponent(planId)}`, { method: "DELETE" });
const result = await response.json();
if (!response.ok) throw new Error(result.detail || `HTTP ${response.status}`);
plansStatusEl.textContent = result.summary || "Plan deleted";
await refreshPlans();
await refreshPending();
await refreshInbox();
} catch (error) {
plansStatusEl.textContent = `Plan delete failed: ${fetchErrorMessage(error)}`;
}
}
function formatShortDate(value) {
if (!value) return "";
const date = new Date(value);
@@ -1231,18 +1652,30 @@ function formatShortDate(value) {
async function checkHealth() {
try {
const response = await fetch("/api/health");
const result = await response.json();
const health = result.ollama || {};
let health = {};
try {
const response = await fetch("/api/health");
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const result = await response.json();
health = result.inference || result.ollama || {};
} catch (primaryError) {
const fallbackResponse = await fetch("/api/ollama/status");
if (!fallbackResponse.ok) throw primaryError;
health = await fallbackResponse.json();
}
const provider = providerDisplayName(health.provider);
const isOpenAIProvider = health.provider === "openai";
const isCodexProvider = health.provider === "codex";
ollamaOnline = Boolean(health.online);
if (!ollamaOnline) {
statusEl.textContent = "Offline";
setWarning("Ollama needs attention. Open the Ollama tab and use the pulsing action button.");
setWarning(`${provider} needs attention. Open the model provider tab and use the pulsing action button.`);
ollamaToggle?.classList.add("attention-pulse");
return false;
}
if (health.model_available === false) {
setWarning(`Ollama needs the configured model "${health.model}". Open the Ollama tab and use Install Model.`);
const action = isOpenAIProvider ? "Load Provider Models." : isCodexProvider ? "Sign In to Codex." : "Install Model.";
setWarning(`${provider} needs the configured model "${health.model}". Open the model provider tab and use ${action}`);
ollamaToggle?.classList.add("attention-pulse");
} else {
setWarning("");
@@ -1253,7 +1686,7 @@ async function checkHealth() {
} catch (error) {
ollamaOnline = false;
statusEl.textContent = "Offline";
setWarning("Could not check Ollama health. Open the Ollama tab and use the pulsing action button.");
setWarning("Could not check the active model provider. Open the model provider tab and use the pulsing action button.");
ollamaToggle?.classList.add("attention-pulse");
return false;
}
@@ -1426,6 +1859,23 @@ input.addEventListener("keydown", async (event) => {
}
});
input.addEventListener("paste", async (event) => {
const clipboardItems = [...(event.clipboardData?.items || [])];
const imageFiles = clipboardItems
.filter((item) => item.kind === "file" && String(item.type || "").startsWith("image/"))
.map((item) => item.getAsFile())
.filter(Boolean);
if (!imageFiles.length) return;
if (!event.clipboardData?.getData("text/plain")) {
event.preventDefault();
}
try {
await addComposerImages(imageFiles);
} catch (error) {
setWarning(`Image paste failed: ${fetchErrorMessage(error)}`);
}
});
memoryRefreshButton?.addEventListener("click", refreshMemory);
memoryClearButton?.addEventListener("click", clearMemory);
configRefreshButton?.addEventListener("click", refreshConfig);
@@ -1458,6 +1908,17 @@ ollamaPullButton?.addEventListener("click", () => {
markOllamaActionClicked("pull");
postOllamaAction("/api/ollama/pull", { body: { model: configuredOllamaModel() } });
});
codexLoginButton?.addEventListener("click", launchCodexLogin);
providerModelSelect?.addEventListener("change", syncSelectedProviderModel);
document.getElementById("model-provider")?.addEventListener("change", () => {
const provider = document.getElementById("model-provider")?.value || "ollama";
updateProviderFieldVisibility(provider);
renderProviderModelOptions(latestOllamaStatus?.models || [], { ...latestOllamaStatus, provider });
});
openaiModelsRefreshButton?.addEventListener("click", () => {
markOllamaActionClicked("openai-models");
refreshOpenAIModels();
});
updateCheckButton?.addEventListener("click", checkForUpdate);
updateInstallButton?.addEventListener("click", installUpdate);
updateOpenReleasesButton?.addEventListener("click", openReleasesPage);
@@ -1471,15 +1932,22 @@ updateModalInstall?.addEventListener("click", installUpdate);
async function sendMessage() {
const message = input.value.trim();
if (!message || input.disabled) return;
const attachedImages = composerImages.map(({ name, content_type, image_data, preview_url }) => ({
name,
content_type,
image_data,
preview_url,
}));
if ((!message && !attachedImages.length) || input.disabled) return;
const healthy = await checkHealth();
if (!healthy) {
addMessage("assistant warning-message", "Ollama needs attention before chat can continue. Open the Ollama tab and press the pulsing action button, then try again.");
addMessage("assistant warning-message", "The active model provider needs attention before chat can continue. Open the model provider tab and press the pulsing action button, then try again.");
return;
}
input.value = "";
clearComposerImages();
input.disabled = true;
addMessage("user", message);
addMessage("user", message, { images: attachedImages });
const assistantNode = addMessage("assistant streaming", "");
ensureStreamingChrome(assistantNode);
let assistantText = "";
@@ -1491,7 +1959,7 @@ async function sendMessage() {
const response = await fetch("/api/chat/stream", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ message, thread_id: currentThreadId }),
body: JSON.stringify({ message, thread_id: currentThreadId, images: attachedImages }),
});
if (!response.ok || !response.body) {
throw new Error(`HTTP ${response.status}`);
@@ -1537,7 +2005,7 @@ async function sendMessage() {
}
} catch (error) {
const message = error.message.includes("503")
? "Ollama needs attention before chat can continue. Open the Ollama tab and press the pulsing action button, then try again."
? "The active model provider needs attention before chat can continue. Open the model provider tab and press the pulsing action button, then try again."
: `Chat failed: ${error.message}`;
setWarning(message);
setMessageMarkdown(assistantNode, message);
+82 -43
View File
@@ -57,12 +57,15 @@
</header>
<div class="warning" id="warning" hidden></div>
<div class="messages" id="messages"></div>
<div class="composer-wrap">
<form class="composer" id="chat-form">
<textarea id="message-input" rows="2" placeholder="Search listings, draft a reply, prepare an offer..."></textarea>
<button type="submit">Send</button>
</form>
</div>
<div class="composer-wrap">
<form class="composer" id="chat-form">
<div class="composer-main">
<textarea id="message-input" rows="2" placeholder="Search listings, draft a reply, prepare an offer..."></textarea>
<div class="composer-images" id="composer-images" hidden></div>
</div>
<button type="submit">Send</button>
</form>
</div>
</section>
<aside class="actions">
<section class="side-section">
@@ -70,21 +73,6 @@
<div id="pending-actions" class="pending-empty">No pending actions</div>
</section>
<section class="side-section sidebar-tools">
<div class="sidebar-tool-buttons" role="tablist" aria-label="Sidebar panels">
<button class="sidebar-tool-button" id="settings-toggle" type="button" aria-expanded="false" aria-controls="settings-panel" title="Settings">
<i data-lucide="settings" aria-hidden="true"></i>
<span>Settings</span>
</button>
<button class="sidebar-tool-button" id="memory-toggle" type="button" aria-expanded="false" aria-controls="memory-panel" title="Memory">
<i data-lucide="brain" aria-hidden="true"></i>
<span>Memory</span>
</button>
<button class="sidebar-tool-button" id="ollama-toggle" type="button" aria-expanded="false" aria-controls="ollama-panel" title="Ollama">
<img class="sidebar-tool-image" src="/static/art/ollama-icon.svg" alt="" onerror="this.remove();">
<i data-lucide="bot" aria-hidden="true"></i>
<span>Ollama</span>
</button>
</div>
<div class="sidebar-panel" id="settings-panel" hidden>
<div class="section-title-row">
<h2>Config</h2>
@@ -131,14 +119,29 @@
</div>
<div class="sidebar-panel" id="ollama-panel" hidden>
<div class="section-title-row">
<h2>Ollama</h2>
<h2>Inference</h2>
<button class="secondary small-button" id="ollama-refresh" type="button">Refresh</button>
</div>
<form class="config-form" id="ollama-config-form">
<label>Ollama URL<input id="ollama-base-url" name="ollama_base_url" type="text"></label>
<label>Model<input id="ollama-model" name="ollama_model" type="text"></label>
<label>Context Tokens<input id="ollama-num-ctx" name="ollama_num_ctx" type="number" min="1024" step="1024"></label>
<button type="submit">Save Ollama Config</button>
<label>Provider
<select id="model-provider" name="model_provider">
<option value="ollama">Local Ollama</option>
<option value="openai">OpenAI</option>
<option value="codex">Codex</option>
</select>
</label>
<label data-provider-scope="ollama">Ollama URL<input id="ollama-base-url" name="ollama_base_url" type="text"></label>
<label data-provider-scope="ollama">Ollama Model<input id="ollama-model" name="ollama_model" type="text" list="provider-models"></label>
<label data-provider-scope="ollama">Context Tokens<input id="ollama-num-ctx" name="ollama_num_ctx" type="number" min="1024" step="1024"></label>
<label data-provider-scope="openai">OpenAI URL<input id="openai-base-url" name="openai_base_url" type="text"></label>
<label data-provider-scope="openai">OpenAI API Key<input id="openai-api-key" name="openai_api_key" type="password" autocomplete="off"></label>
<label data-provider-scope="openai">OpenAI Model<input id="openai-model" name="openai_model" type="text" list="provider-models"></label>
<label data-provider-scope="codex">Codex Command<input id="codex-command" name="codex_command" type="text"></label>
<label data-provider-scope="codex">Codex Model<input id="codex-model" name="codex_model" type="text" list="provider-models"></label>
<label>Available Models<select id="provider-model-select"></select></label>
<label>Reasoning Effort<select id="model-reasoning-effort" name="model_reasoning_effort"></select></label>
<datalist id="provider-models"></datalist>
<button type="submit">Save Provider Config</button>
</form>
<div class="ollama-status" id="ollama-status"></div>
<div class="ollama-actions">
@@ -146,9 +149,26 @@
<button class="secondary small-button" id="ollama-install" type="button">Auto Install</button>
<button class="secondary small-button" id="ollama-launch" type="button">Launch</button>
<button class="small-button" id="ollama-pull" type="button">Install Model</button>
<button class="secondary small-button" id="codex-login" type="button">Sign In to Codex</button>
<button class="secondary small-button" id="openai-models-refresh" type="button">Load Provider Models</button>
</div>
<div class="config-status" id="ollama-message"></div>
</div>
<div class="sidebar-tool-buttons" role="tablist" aria-label="Sidebar panels">
<button class="sidebar-tool-button" id="settings-toggle" type="button" aria-expanded="false" aria-controls="settings-panel" title="Settings">
<i data-lucide="settings" aria-hidden="true"></i>
<span>Settings</span>
</button>
<button class="sidebar-tool-button" id="memory-toggle" type="button" aria-expanded="false" aria-controls="memory-panel" title="Memory">
<i data-lucide="brain" aria-hidden="true"></i>
<span>Memory</span>
</button>
<button class="sidebar-tool-button" id="ollama-toggle" type="button" aria-expanded="false" aria-controls="ollama-panel" title="Inference">
<img class="sidebar-tool-image" src="/static/art/ollama-icon.svg" alt="" onerror="this.remove();">
<i data-lucide="bot" aria-hidden="true"></i>
<span>Inference</span>
</button>
</div>
</section>
</aside>
</main>
@@ -185,23 +205,42 @@
</div>
</div>
<div class="plans-panel-body">
<form class="config-form" id="plan-form">
<label>Title<input id="plan-title" type="text" placeholder="Wikelo Idris parts"></label>
<label>Objective<input id="plan-objective" type="text" placeholder="Find and draft deals for the parts I list"></label>
<label>Kind
<select id="plan-kind">
<option value="buying">Buying</option>
<option value="custom">Custom</option>
</select>
</label>
<label>Items<textarea id="plan-items" rows="4" placeholder="One item per line, optionally: name | quantity | max unit price"></textarea></label>
<label>Instructions<textarea id="plan-instructions" rows="3" placeholder="Extra guidance for custom or buying plans"></textarea></label>
<label>Cron Cadence<input id="plan-cadence" type="text" placeholder="0 */6 * * *"></label>
<label>Message Tone<input id="plan-tone" type="text" placeholder="polite and concise"></label>
<button type="submit">Create Plan</button>
<div class="config-status" id="plans-status"></div>
</form>
<div class="plans-dashboard" id="plans-dashboard"></div>
<aside class="plan-creator-shell">
<div class="plan-creator-card">
<div class="plan-creator-copy">
<p class="eyebrow">New continual plan</p>
<h3>Set the watch once</h3>
<p>Spin up buying runs or custom follow-up work with a title, a goal, and just enough guardrails to keep it on track.</p>
</div>
<form class="config-form plan-form-grid" id="plan-form">
<label>Title<input id="plan-title" type="text" placeholder="Wikelo Idris parts"></label>
<label>Objective<input id="plan-objective" type="text" placeholder="Find and draft deals for the parts I list"></label>
<div class="plan-form-split">
<label>Kind
<select id="plan-kind">
<option value="buying">Buying</option>
<option value="custom">Custom</option>
</select>
</label>
<label>Message Tone<input id="plan-tone" type="text" placeholder="polite and concise"></label>
</div>
<label>Items<textarea id="plan-items" rows="5" placeholder="One item per line, optionally: name | quantity | max unit price"></textarea></label>
<label>Instructions<textarea id="plan-instructions" rows="4" placeholder="Extra guidance for custom or buying plans"></textarea></label>
<div class="plan-form-split">
<label>Cron Cadence<input id="plan-cadence" type="text" placeholder="0 */6 * * *"></label>
<div class="plan-form-hint">
<strong>Tip</strong>
<span>Buying plans work best with item lines. Custom plans can run with just instructions.</span>
</div>
</div>
<button type="submit">Create Plan</button>
<div class="config-status" id="plans-status"></div>
</form>
</div>
</aside>
<section class="plans-dashboard-shell">
<div class="plans-dashboard" id="plans-dashboard"></div>
</section>
</div>
</div>
<div class="modal-backdrop" id="update-modal" hidden>
+438 -30
View File
@@ -269,6 +269,8 @@ body::before {
}
.actions {
display: flex;
flex-direction: column;
padding: 28px;
overflow: auto;
min-height: 0;
@@ -555,6 +557,38 @@ h2 {
background: rgba(255, 250, 240, 0.96);
}
.message-images {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(132px, 1fr));
gap: 10px;
margin-bottom: 12px;
}
.message-image {
overflow: hidden;
border: 1px solid rgba(88, 66, 47, 0.18);
border-radius: 14px;
background: rgba(255, 255, 255, 0.78);
}
.message-image img {
display: block;
width: 100%;
aspect-ratio: 1 / 1;
object-fit: cover;
}
.message-image-label {
display: block;
padding: 8px 10px;
color: #6d5b4e;
font-size: 12px;
font-weight: 700;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.message.warning-message {
border-color: rgba(212, 175, 55, 0.6);
background: #f5eac4;
@@ -720,6 +754,60 @@ h2 {
padding: 20px;
}
.composer-main {
display: grid;
gap: 12px;
}
.composer-images {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(120px, 1fr));
gap: 10px;
}
.composer-image {
position: relative;
overflow: hidden;
border: 1px solid rgba(88, 66, 47, 0.16);
border-radius: 14px;
background: rgba(255, 255, 255, 0.88);
box-shadow: 0 12px 26px rgba(38, 58, 27, 0.08);
}
.composer-image img {
display: block;
width: 100%;
aspect-ratio: 1 / 1;
object-fit: cover;
}
.composer-image-name {
display: block;
padding: 8px 10px 10px;
color: #6d5b4e;
font-size: 12px;
font-weight: 700;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.composer-image-remove {
position: absolute;
top: 8px;
right: 8px;
width: 28px;
height: 28px;
min-height: 28px;
padding: 0;
border-radius: 999px;
border: 1px solid rgba(88, 66, 47, 0.18);
background: rgba(255, 250, 240, 0.92);
color: var(--brown);
font-size: 16px;
line-height: 1;
}
textarea {
width: 100%;
min-height: 58px;
@@ -951,15 +1039,15 @@ button {
.plans-floating-panel {
grid-template-rows: auto minmax(0, 1fr);
width: min(680px, calc(100vw - 28px));
width: min(980px, calc(100vw - 28px));
}
.plans-panel-body {
display: grid;
grid-template-columns: minmax(220px, 280px) minmax(0, 1fr);
gap: 16px;
grid-template-columns: minmax(280px, 340px) minmax(0, 1fr);
gap: 20px;
min-height: 0;
padding: 16px;
padding: 20px;
overflow: auto;
}
@@ -1005,7 +1093,7 @@ button.secondary {
}
.side-section {
margin-bottom: 28px;
margin-bottom: 0;
}
.side-section + .side-section {
@@ -1014,8 +1102,12 @@ button.secondary {
}
.sidebar-tools {
display: grid;
display: flex;
flex-direction: column;
gap: 14px;
margin-top: auto;
padding-top: 24px;
background: transparent;
}
.sidebar-tool-buttons {
@@ -1025,6 +1117,12 @@ button.secondary {
width: 100%;
min-width: 0;
gap: 8px;
position: sticky;
bottom: 0;
z-index: 2;
padding-top: 14px;
padding-bottom: 2px;
background: linear-gradient(180deg, var(--ivory) 0%, var(--cream) 100%);
}
.sidebar-tool-button {
@@ -1110,8 +1208,13 @@ button.secondary {
}
.sidebar-panel {
padding-top: 12px;
border-top: 1px solid var(--line);
padding-bottom: 12px;
border-bottom: 1px solid var(--line);
}
.sidebar-panel .section-title-row {
position: relative;
z-index: 1;
}
.config-form {
@@ -1154,6 +1257,77 @@ button.secondary {
font-weight: 800;
}
.plan-creator-shell,
.plans-dashboard-shell {
min-height: 0;
}
.plan-creator-card {
display: grid;
gap: 18px;
padding: 20px;
border: 1px solid rgba(212, 175, 55, 0.28);
border-radius: 22px;
background:
radial-gradient(circle at top right, rgba(240, 214, 129, 0.18), transparent 34%),
linear-gradient(180deg, rgba(255, 253, 247, 0.98), rgba(247, 241, 220, 0.94));
box-shadow: 0 20px 40px rgba(38, 58, 27, 0.08);
}
.plan-creator-copy {
display: grid;
gap: 8px;
}
.plan-creator-copy h3 {
margin: 0;
color: var(--forest);
font-family: "Playfair Display", Georgia, serif;
font-size: 28px;
line-height: 1.02;
}
.plan-creator-copy p:last-child {
margin: 0;
color: var(--muted);
font-size: 13px;
line-height: 1.55;
}
.plan-form-grid {
gap: 12px;
}
.plan-form-grid textarea {
min-height: 96px;
}
.plan-form-split {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 10px;
}
.plan-form-hint {
display: grid;
align-content: start;
gap: 4px;
padding: 12px 13px;
border: 1px dashed rgba(52, 83, 38, 0.24);
border-radius: 14px;
background: rgba(237, 243, 223, 0.68);
color: var(--muted);
font-size: 12px;
line-height: 1.45;
}
.plan-form-hint strong {
color: var(--forest);
font-size: 11px;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.ollama-status {
display: grid;
gap: 8px;
@@ -1388,36 +1562,175 @@ pre {
.plans-dashboard {
display: grid;
gap: 12px;
margin-top: 14px;
gap: 14px;
min-height: 0;
}
.plans-overview {
display: flex;
align-items: flex-end;
justify-content: space-between;
gap: 18px;
padding: 6px 2px 10px;
}
.plans-overview h3 {
margin: 4px 0 0;
color: var(--forest);
font-family: "Playfair Display", Georgia, serif;
font-size: 31px;
line-height: 1.04;
}
.plan-overview-copy {
max-width: 48ch;
margin: 8px 0 0;
color: var(--muted);
font-size: 13px;
line-height: 1.5;
}
.plan-overview-stats {
display: flex;
flex-wrap: wrap;
gap: 10px;
}
.plan-overview-stat {
display: grid;
gap: 2px;
min-width: 110px;
padding: 12px 14px;
border: 1px solid rgba(212, 175, 55, 0.28);
border-radius: 16px;
background: rgba(255, 250, 240, 0.78);
box-shadow: 0 12px 24px rgba(38, 58, 27, 0.06);
}
.plan-overview-stat-value {
color: var(--forest);
font-size: 24px;
font-weight: 800;
line-height: 1;
}
.plan-overview-stat-label {
color: var(--muted);
font-size: 11px;
font-weight: 800;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.plan-empty-state {
padding: 22px;
border: 1px dashed rgba(52, 83, 38, 0.24);
border-radius: 22px;
background: rgba(255, 253, 247, 0.72);
}
.plan-empty-state h4 {
margin: 0 0 6px;
color: var(--forest);
font-size: 18px;
}
.plan-empty-state p {
margin: 0;
color: var(--muted);
font-size: 13px;
line-height: 1.5;
}
.plan-card {
display: grid;
gap: 10px;
padding: 13px;
border: 1px solid var(--line);
border-radius: 16px;
background: rgba(255, 250, 240, 0.82);
gap: 12px;
padding: 16px;
border: 1px solid rgba(221, 206, 176, 0.92);
border-radius: 20px;
background:
linear-gradient(180deg, rgba(255, 252, 246, 0.96), rgba(251, 244, 223, 0.88));
box-shadow: 0 16px 30px rgba(38, 58, 27, 0.06);
}
.plan-card.active {
border-color: rgba(52, 83, 38, 0.42);
background: #edf3df;
border-color: rgba(52, 83, 38, 0.32);
background:
radial-gradient(circle at top right, rgba(190, 212, 144, 0.22), transparent 26%),
linear-gradient(180deg, rgba(247, 250, 238, 0.98), rgba(237, 243, 223, 0.96));
}
.plan-card-heading {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 12px;
}
.plan-card h3 {
margin: 0;
color: var(--forest);
font-size: 16px;
line-height: 1.25;
font-size: 19px;
line-height: 1.18;
}
.plan-status-badge {
flex: 0 0 auto;
padding: 6px 10px;
border-radius: 999px;
font-size: 11px;
font-weight: 800;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.plan-status-active {
border-color: rgba(52, 83, 38, 0.28);
background: rgba(237, 243, 223, 0.9);
color: var(--forest);
}
.plan-status-badge.plan-status-active {
border: 1px solid rgba(52, 83, 38, 0.24);
}
.plan-status-paused {
border-color: rgba(196, 170, 115, 0.42);
background: rgba(255, 246, 220, 0.86);
color: #7a5a18;
}
.plan-status-badge.plan-status-paused {
border: 1px solid rgba(196, 170, 115, 0.34);
}
.plan-status-needs-input {
border-color: rgba(159, 60, 50, 0.24);
background: rgba(255, 241, 237, 0.88);
color: var(--danger);
}
.plan-status-badge.plan-status-needs-input {
border: 1px solid rgba(159, 60, 50, 0.22);
}
.plan-status-canceled,
.plan-status-completed {
opacity: 0.84;
}
.plan-status-badge.plan-status-canceled,
.plan-status-badge.plan-status-completed {
border: 1px solid rgba(111, 91, 80, 0.18);
background: rgba(255, 250, 240, 0.82);
color: var(--muted);
}
.plan-meta,
.plan-line {
color: var(--muted);
font-size: 12px;
line-height: 1.4;
font-size: 13px;
line-height: 1.55;
overflow-wrap: anywhere;
}
@@ -1431,33 +1744,82 @@ pre {
.plan-pill {
display: inline-flex;
align-items: center;
min-height: 24px;
padding: 4px 8px;
border: 1px solid rgba(52, 83, 38, 0.24);
min-height: 26px;
padding: 4px 10px;
border: 1px solid rgba(52, 83, 38, 0.14);
border-radius: 999px;
background: rgba(255, 250, 240, 0.8);
background: rgba(255, 250, 240, 0.88);
color: var(--forest);
font-size: 11px;
font-weight: 800;
text-transform: uppercase;
}
.plan-metrics {
display: grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 10px;
}
.plan-metric {
display: grid;
gap: 4px;
padding: 11px 12px;
border: 1px solid rgba(221, 206, 176, 0.78);
border-radius: 14px;
background: rgba(255, 253, 247, 0.76);
}
.plan-metric-label {
color: var(--muted);
font-size: 11px;
font-weight: 800;
letter-spacing: 0.06em;
text-transform: uppercase;
}
.plan-metric-value {
color: var(--brown);
font-size: 13px;
font-weight: 700;
line-height: 1.35;
}
.plan-controls button {
flex: 1 1 80px;
min-width: 0;
}
.plan-detail {
display: grid;
grid-template-columns: repeat(3, minmax(0, 1fr));
gap: 12px;
padding-top: 10px;
border-top: 1px solid rgba(221, 206, 176, 0.92);
}
.plan-detail-loading {
grid-template-columns: 1fr;
padding: 16px;
border: 1px dashed rgba(52, 83, 38, 0.2);
border-radius: 16px;
background: rgba(255, 253, 247, 0.72);
color: var(--muted);
font-size: 13px;
text-align: center;
}
.plan-section {
display: grid;
gap: 8px;
padding-top: 8px;
border-top: 1px solid var(--line);
}
.plan-detail h4 {
margin: 0;
color: var(--forest);
font-size: 13px;
letter-spacing: 0.04em;
text-transform: uppercase;
}
.plan-list {
@@ -1469,15 +1831,29 @@ pre {
}
.plan-list li {
padding: 8px;
display: grid;
gap: 5px;
padding: 10px 11px;
border: 1px solid rgba(221, 206, 176, 0.72);
border-radius: 8px;
background: rgba(255, 253, 247, 0.72);
border-radius: 12px;
background: rgba(255, 253, 247, 0.8);
color: var(--brown);
font-size: 12px;
line-height: 1.4;
}
.plan-list-title {
color: var(--forest);
font-size: 12px;
font-weight: 800;
}
.plan-list-body {
color: var(--muted);
font-size: 12px;
line-height: 1.5;
}
.decline-button {
border: 1px solid var(--line-strong);
background: #fff9e9;
@@ -1657,6 +2033,38 @@ pre {
grid-column: 1;
}
.plans-overview {
flex-direction: column;
align-items: flex-start;
}
.plan-detail {
grid-template-columns: 1fr;
}
}
@media (max-width: 760px) {
.plan-form-split,
.plan-metrics {
grid-template-columns: 1fr;
}
.plan-card-heading {
flex-direction: column;
}
.plan-status-badge {
align-self: flex-start;
}
}
@media (max-width: 640px) {
.plans-floating-panel {
width: min(100vw - 18px, 980px);
right: 9px;
bottom: 9px;
}
.plans-panel-body {
grid-template-columns: 1fr;
}