chores

Makefile

@@ -58,7 +58,7 @@ help:
 	@echo "  make test-unit-helm     - Run helm unit tests"
 	@echo "  make test-rust-extension - Build the Rust extension and run its public Python tests"
 	@echo "  make rust-sqlx-prepare  - Refresh litellm-rust/crates/db/.sqlx against a migrated Postgres container"
-	@echo "  make lens-dev           - Run proxy + Lens worker + hot-reload dashboard (ARGS=\"--seed large\", LENS_DEV_PROXY_PORT, LENS_DEV_UI_PORT)"
+	@echo "  make lens-dev           - Run proxy + Lens worker + hot-reload dashboard (ARGS=\"--seed large --seed-logs\", LENS_DEV_PROXY_PORT, LENS_DEV_UI_PORT)"
 	@echo ""
 	@echo "Heavy targets (check, lint) queue for LITELLM_GATE_SLOTS machine-wide"
 	@echo "slots (default 2; 0 disables) so parallel sessions don't thrash one machine."

scripts/lens_dev.sh

@@ -7,7 +7,8 @@
 #                         (default: random, generated once into .lens-dev/master_key)
 #   LENS_DEV_CONFIG       proxy config to use instead of the generated one
 #   LENS_DEV_DATABASE_URL Postgres URL (default: the tracing stack's litellm DB on :15432)
-#   LENS_DEV_REBUILD_RUST=1  rebuild the Rust bridge even if it imports
+#   LENS_DEV_SEED         trace seed profile (default|large), same as --seed
+#   LENS_DEV_SEED_LOGS    request-log seed profile (default|large), same as --seed-logs
 #
 # State (master key, worker token, generated config, logs) lives in .lens-dev/ (gitignored).
 set -euo pipefail
@@ -216,36 +217,55 @@ build_dashboard() {
   ) > "$log_dir/ui-build.log" 2>&1 || die "UI build failed; see $log_dir/ui-build.log"
 }
 
+# Trace fixtures feed Lens (ClickHouse + spend rows); request logs feed the Logs page
+# (Postgres only) with rows sized to stress the log detail drawer.
 seed_data() {
   (
     proxy_env ""
-    "$py" -m scripts.seed_tracing_fixtures --profile "$seed_profile" ${seed_options[@]+"${seed_options[@]}"}
+    export LENS_DEV_UI_URL="http://localhost:$ui_port"
+    if [ -n "$seed_profile" ]; then
+      "$py" -m scripts.seed_tracing_fixtures --profile "$seed_profile" ${seed_options[@]+"${seed_options[@]}"}
+    fi
+    if [ -n "$seed_logs_profile" ]; then
+      "$py" -m scripts.seed_request_logs --profile "$seed_logs_profile"
+    fi
   )
 }
 
+# --seed and --seed-logs take an optional profile; a bare flag means default.
+seed_profile_arg() {
+  if [ "${1:-}" = default ] || [ "${1:-}" = large ]; then echo "$1"; else echo default; fi
+}
+
 parse_args() {
   seed_profile="${LENS_DEV_SEED:-}"
+  seed_logs_profile="${LENS_DEV_SEED_LOGS:-}"
   seed_only=0
   seed_options=()
   while [ "$#" -gt 0 ]; do
     case "$1" in
       --seed)
-        seed_profile=default
-        if [ "${2:-}" = default ] || [ "${2:-}" = large ]; then seed_profile="$2"; shift; fi
+        seed_profile="$(seed_profile_arg "${2:-}")"
+        [ "$seed_profile" = "${2:-}" ] && shift
+        ;;
+      --seed-logs)
+        seed_logs_profile="$(seed_profile_arg "${2:-}")"
+        [ "$seed_logs_profile" = "${2:-}" ] && shift
         ;;
       --copies)
         [ "$#" -ge 2 ] && [[ "$2" =~ ^[1-9][0-9]*$ ]] || die "--copies requires a positive integer"
         seed_options=(--copies "$2"); shift ;;
       --seed-only) seed_only=1 ;;
       --help)
-        echo "Usage: $0 [--seed [default|large]] [--copies N] [--seed-only]"
+        echo "Usage: $0 [--seed [default|large]] [--seed-logs [default|large]] [--copies N] [--seed-only]"
         exit 0 ;;
       *) die "unknown argument: $1 (use --help)" ;;
     esac
     shift
   done
-  if [ "$seed_only" = 1 ] && [ -z "$seed_profile" ]; then seed_profile=default; fi
+  if [ "$seed_only" = 1 ] && [ -z "$seed_profile" ] && [ -z "$seed_logs_profile" ]; then seed_profile=default; fi
   case "$seed_profile" in ""|default|large) ;; *) die "seed profile must be default or large" ;; esac
+  case "$seed_logs_profile" in ""|default|large) ;; *) die "seed-logs profile must be default or large" ;; esac
   [ "${#seed_options[@]}" = 0 ] || [ -n "$seed_profile" ] || die "--copies requires --seed"
 }
 
@@ -277,11 +297,14 @@ main() {
   ensure_services
   "$py" scripts/prisma_generate_if_needed.py
 
-  if [ "${LENS_DEV_REBUILD_RUST:-0}" = "1" ] || ! "$py" -c "import litellm.rust_bridge._native" >/dev/null 2>&1; then
-    echo "lens-dev: building the Rust bridge (litellm.rust_bridge._native); the ClickHouse trace store uses it"
-    VIRTUAL_ENV="$repo_root/.venv" uvx --from maturin==1.15.0 maturin develop \
-      --release --manifest-path litellm-rust/crates/python-bridge/Cargo.toml --features extension-module
-  fi
+  # cargo/maturin already fingerprint every crate's sources, so re-running this on each
+  # start is a no-op (a couple seconds) when nothing changed and only rebuilds the
+  # subset that did. An import check can't tell content-stale from content-fresh: a
+  # `.so` built from an older commit still imports fine, it just no longer matches
+  # what the current Python bindings (e.g. the trace store protocol) expect.
+  echo "lens-dev: checking the Rust bridge (litellm.rust_bridge._native) is current; the ClickHouse trace store uses it"
+  PYO3_PYTHON="$py" VIRTUAL_ENV="$repo_root/.venv" uvx --from maturin==1.15.0 maturin develop \
+    --release --manifest-path litellm-rust/crates/python-bridge/Cargo.toml --features extension-module
 
   if [ ! -x ui/litellm-dashboard/node_modules/.bin/next ]; then
     (cd ui/litellm-dashboard && "$repo_root/scripts/with_dashboard_node.sh" npm ci)
@@ -317,7 +340,7 @@ main() {
   wait_for_ui "$ui_pid"
   wait_for_proxy "$proxy_pid"
   ensure_worker_token
-  if [ -n "$seed_profile" ]; then seed_data; fi
+  if [ -n "$seed_profile" ] || [ -n "$seed_logs_profile" ]; then seed_data; fi
 
   LITELLM_RELEASE_TAG="$source_release_tag" \
     LITELLM_MODE=PRODUCTION LITELLM_URL="$proxy_url" LENS_WORKER_TOKEN="$(cat "$token_file")" \
@@ -332,6 +355,7 @@ main() {
 Lens dev is up. Ctrl-C stops everything.
   Log in:   http://localhost:$ui_port/ui/login/  (admin / $key_hint)
   Lens:     http://localhost:$ui_port/ui/lens/  (hot-reloads)
+  Logs:     http://localhost:$ui_port/ui/?page=logs
   API:      $proxy_url
   Logs:     $log_dir/proxy.log
             $log_dir/worker.log

scripts/seed_request_logs.py

@@ -0,0 +1,428 @@
+from __future__ import annotations
+
+import argparse
+import asyncio
+import json
+import math
+import os
+import random
+import sys
+from collections.abc import Iterator, Sequence
+from datetime import datetime, timedelta, timezone
+from itertools import chain
+from typing import TYPE_CHECKING, Final, Literal
+
+import httpx
+from pydantic import BaseModel, ConfigDict, JsonValue, TypeAdapter
+
+from scripts.seed_tracing_fixtures import JSON_OBJECT, spend_fixtures
+
+if TYPE_CHECKING:
+    from prisma import Prisma
+    from prisma.types import LiteLLM_SpendLogsCreateWithoutRelationsInput
+
+REQUEST_ID_PREFIX: Final = "seed-logs-"
+SESSION_ID_PREFIX: Final = "seed-logs-session-"
+WINDOW_HOURS: Final = 23
+RNG_SEED: Final = 20261004
+LARGE_COPIES: Final = 3000
+PROFILES: Final = ("default", "large")
+Profile = Literal["default", "large"]
+JSON: Final[TypeAdapter[JsonValue]] = TypeAdapter(JsonValue)
+
+WORDS: Final = (
+    "trace", "span", "token", "request", "response", "latency", "router", "fallback", "cache", "budget",
+    "guardrail", "stream", "deployment", "proxy", "callback", "cursor", "schema", "payload", "retry", "quota",
+)
+
+
+class SeededLog(BaseModel):
+    """One synthetic spend-log row before it is shaped for Postgres."""
+
+    model_config = ConfigDict(frozen=True)
+    request_id: str
+    label: str
+    call_type: str
+    model: str
+    provider: str
+    status: Literal["success", "failure"]
+    session_id: str | None
+    offset_minutes: int
+    duration_ms: int
+    prompt_tokens: int
+    completion_tokens: int
+    spend: float
+    messages: JsonValue
+    response: JsonValue
+    proxy_server_request: JsonValue
+    error_information: dict[str, JsonValue] | None = None
+
+
+def prose(rng: random.Random, chars: int) -> str:
+    words: Final[list[str]] = []
+    length = 0
+    while length < chars:
+        word: Final = rng.choice(WORDS)
+        words.append(word)
+        length += len(word) + 1  # rebind-ok: accumulates generated text length
+    return " ".join(words)[:chars]
+
+
+def tool_definition(index: int) -> dict[str, JsonValue]:
+    return {
+        "type": "function",
+        "function": {
+            "name": f"seed_tool_{index}",
+            "description": f"Synthetic tool number {index} used only by the request-log seeder.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "query": {"type": "string", "description": "What to look up"},
+                    "limit": {"type": "integer", "minimum": 1, "maximum": 100},
+                },
+                "required": ["query"],
+            },
+        },
+    }
+
+
+def tool_call(index: int, rng: random.Random) -> dict[str, JsonValue]:
+    return {
+        "id": f"call_seed_{index}",
+        "type": "function",
+        "function": {"name": f"seed_tool_{index}", "arguments": json.dumps({"query": prose(rng, 40), "limit": index})},
+    }
+
+
+def chat_turns(rng: random.Random, turns: int, chars_per_turn: int) -> list[JsonValue]:
+    def turn(index: int) -> Iterator[JsonValue]:
+        yield {"role": "user", "content": prose(rng, chars_per_turn)}
+        if index % 3 == 0:
+            yield {"role": "assistant", "content": None, "tool_calls": [tool_call(index % 7, rng)]}
+            yield {"role": "tool", "tool_call_id": f"call_seed_{index % 7}", "content": prose(rng, chars_per_turn * 4)}
+        else:
+            yield {"role": "assistant", "content": prose(rng, chars_per_turn)}
+
+    return list(chain.from_iterable(turn(index) for index in range(turns)))
+
+
+def chat_response(content: str, tool_calls: list[JsonValue] | None, prompt_tokens: int, completion_tokens: int) -> JsonValue:
+    message: dict[str, JsonValue] = {"role": "assistant", "content": content}
+    if tool_calls:
+        message["tool_calls"] = tool_calls
+    return {
+        "id": "chatcmpl-seed",
+        "object": "chat.completion",
+        "model": "gpt-5.5",
+        "choices": [{"index": 0, "finish_reason": "tool_calls" if tool_calls else "stop", "message": message}],
+        "usage": {
+            "prompt_tokens": prompt_tokens,
+            "completion_tokens": completion_tokens,
+            "total_tokens": prompt_tokens + completion_tokens,
+        },
+    }
+
+
+def chat_log(
+    rng: random.Random,
+    label: str,
+    *,
+    messages: list[JsonValue],
+    response_chars: int,
+    tools: int = 0,
+    called_tools: int = 0,
+    offset_minutes: int,
+    session_id: str | None = None,
+) -> SeededLog:
+    prompt_tokens: Final = len(json.dumps(messages)) // 4
+    completion_tokens: Final = max(response_chars // 4, 1)
+    tool_calls: Final = [tool_call(index, rng) for index in range(called_tools)] or None
+    request: dict[str, JsonValue] = {"model": "gpt-5.5", "messages": messages, "stream": False}
+    if tools:
+        request["tools"] = [tool_definition(index) for index in range(tools)]
+    return SeededLog(
+        request_id=f"{REQUEST_ID_PREFIX}{label}",
+        label=label,
+        call_type="acompletion",
+        model="gpt-5.5",
+        provider="openai",
+        status="success",
+        session_id=session_id,
+        offset_minutes=offset_minutes,
+        duration_ms=1500 + completion_tokens // 10,
+        prompt_tokens=prompt_tokens,
+        completion_tokens=completion_tokens,
+        spend=prompt_tokens * 0.000002 + completion_tokens * 0.000008,
+        messages=messages,
+        response=chat_response(prose(rng, response_chars), tool_calls, prompt_tokens, completion_tokens),
+        proxy_server_request=request,
+    )
+
+
+def anthropic_log(rng: random.Random, offset_minutes: int) -> SeededLog:
+    messages: Final[list[JsonValue]] = [
+        {"role": "user", "content": [{"type": "text", "text": prose(rng, 2000)}]},
+        {
+            "role": "assistant",
+            "content": [
+                {"type": "text", "text": prose(rng, 500)},
+                {"type": "tool_use", "id": "toolu_seed_1", "name": "seed_tool_1", "input": {"query": "spend"}},
+            ],
+        },
+        {"role": "user", "content": [{"type": "tool_result", "tool_use_id": "toolu_seed_1", "content": prose(rng, 20_000)}]},
+    ]
+    tools: Final[list[JsonValue]] = [
+        {"name": f"seed_tool_{index}", "description": "Synthetic Anthropic tool", "input_schema": {"type": "object"}}
+        for index in range(3)
+    ]
+    response: Final[JsonValue] = {
+        "id": "msg_seed",
+        "type": "message",
+        "role": "assistant",
+        "model": "claude-opus-5-5",
+        "content": [
+            {"type": "text", "text": prose(rng, 50_000)},
+            {"type": "tool_use", "id": "toolu_seed_2", "name": "seed_tool_2", "input": {"query": "latency", "limit": 5}},
+        ],
+        "stop_reason": "tool_use",
+        "usage": {"input_tokens": 6000, "output_tokens": 12_500},
+    }
+    return SeededLog(
+        request_id=f"{REQUEST_ID_PREFIX}anthropic-tool-use",
+        label="anthropic-tool-use",
+        call_type="anthropic_messages",
+        model="claude-opus-5-5",
+        provider="anthropic",
+        status="success",
+        session_id=None,
+        offset_minutes=offset_minutes,
+        duration_ms=9000,
+        prompt_tokens=6000,
+        completion_tokens=12_500,
+        spend=6000 * 0.000015 + 12_500 * 0.000075,
+        messages=messages,
+        response=response,
+        proxy_server_request={"model": "claude-opus-5-5", "max_tokens": 16_000, "messages": messages, "tools": tools},
+    )
+
+
+def failure_log(rng: random.Random, offset_minutes: int) -> SeededLog:
+    messages: Final[list[JsonValue]] = [{"role": "user", "content": prose(rng, 300_000)}]
+    return SeededLog(
+        request_id=f"{REQUEST_ID_PREFIX}context-window-failure",
+        label="context-window-failure",
+        call_type="acompletion",
+        model="gpt-5.5",
+        provider="openai",
+        status="failure",
+        session_id=None,
+        offset_minutes=offset_minutes,
+        duration_ms=800,
+        prompt_tokens=75_000,
+        completion_tokens=0,
+        spend=0.0,
+        messages=messages,
+        response={},
+        proxy_server_request={"model": "gpt-5.5", "messages": messages},
+        error_information={
+            "error_code": "400",
+            "error_class": "ContextWindowExceededError",
+            "llm_provider": "openai",
+            "error_message": "This model's maximum context length is 128000 tokens. Your messages resulted in 75000 tokens plus 300000 characters of synthetic prose.",
+            "traceback": "Traceback (most recent call last):\n" + "\n".join(f"  File seed_{index}.py, line {index}" for index in range(40)),
+        },
+    )
+
+
+def seeded_logs(rng: random.Random) -> tuple[SeededLog, ...]:
+    """The size ladder: one axis per thing that can make the log drawer slow."""
+    session: Final = f"{SESSION_ID_PREFIX}agent-run"
+    single: Final = [{"role": "user", "content": "Summarise the seeded request logs in one paragraph."}]
+    return (
+        chat_log(rng, "baseline-small", messages=single, response_chars=400, offset_minutes=5),
+        chat_log(rng, "response-100kb", messages=single, response_chars=100_000, offset_minutes=20),
+        chat_log(rng, "response-1mb", messages=single, response_chars=1_000_000, offset_minutes=35),
+        chat_log(rng, "response-5mb", messages=single, response_chars=5_000_000, offset_minutes=50),
+        chat_log(rng, "turns-200", messages=chat_turns(rng, 200, 500), response_chars=2000, offset_minutes=70),
+        chat_log(rng, "turns-1000", messages=chat_turns(rng, 1000, 500), response_chars=2000, offset_minutes=90),
+        chat_log(rng, "system-prompt-200kb", messages=[{"role": "system", "content": prose(rng, 200_000)}, *single], response_chars=1500, offset_minutes=110),
+        chat_log(rng, "tools-50", messages=single, response_chars=800, tools=50, called_tools=6, offset_minutes=130),
+        anthropic_log(rng, offset_minutes=150),
+        failure_log(rng, offset_minutes=170),
+        *(
+            chat_log(
+                rng,
+                f"session-call-{index:02d}",
+                messages=chat_turns(rng, index + 1, 400),
+                response_chars=3000,
+                tools=4,
+                called_tools=index % 3,
+                offset_minutes=200 + index,
+                session_id=session,
+            )
+            for index in range(30)
+        ),
+    )
+
+
+def spread_offsets(logs: tuple[SeededLog, ...]) -> tuple[SeededLog, ...]:
+    """Fit every row into the page's default 24h window, newest first."""
+    last: Final = max(log.offset_minutes for log in logs)
+    scale: Final = min(1.0, WINDOW_HOURS * 60 / max(last, 1))
+    return tuple(log.model_copy(update={"offset_minutes": int(log.offset_minutes * scale)}) for log in logs)
+
+
+def metadata(log: SeededLog, template: dict[str, JsonValue]) -> dict[str, JsonValue]:
+    usage: Final[dict[str, JsonValue]] = {
+        "prompt_tokens": log.prompt_tokens,
+        "completion_tokens": log.completion_tokens,
+        "total_tokens": log.prompt_tokens + log.completion_tokens,
+        "prompt_tokens_details": {"cached_tokens": 0, "text_tokens": log.prompt_tokens},
+    }
+    seeded: dict[str, JsonValue] = {
+        **template,
+        "status": log.status,
+        "model_group": log.model,
+        "deployment": f"{log.provider}/{log.model}",
+        "deployment_model_name": f"{log.provider}/{log.model}",
+        "user_api_key_team_alias": "seed-logs",
+        "usage_object": usage,
+        "additional_usage_values": {"cache_read_input_tokens": 0, "cache_creation_input_tokens": 0, **usage},
+        "cost_breakdown": {
+            "input_cost": log.prompt_tokens * 0.000002,
+            "output_cost": log.completion_tokens * 0.000008,
+            "total_cost": log.spend,
+        },
+        "litellm_overhead_time_ms": 12.5,
+        "attempted_retries": 0,
+        "max_retries": 2,
+        "hidden_params": {"litellm_overhead_time_ms": 12.5, "response_cost": log.spend},
+        "fixture_capture": None,
+        "seed_label": log.label,
+    }
+    if log.error_information is not None:
+        seeded["error_information"] = log.error_information
+    return seeded
+
+
+def postgres_row(log: SeededLog, template: dict[str, JsonValue], now: datetime) -> LiteLLM_SpendLogsCreateWithoutRelationsInput:
+    from prisma import Json
+    from prisma.types import LiteLLM_SpendLogsCreateWithoutRelationsInput
+
+    end: Final = now - timedelta(minutes=log.offset_minutes)
+    start: Final = end - timedelta(milliseconds=log.duration_ms)
+    return LiteLLM_SpendLogsCreateWithoutRelationsInput(
+        request_id=log.request_id,
+        litellm_call_id=log.request_id,
+        call_type=log.call_type,
+        api_key=str(template.get("user_api_key", "seed-logs-key")),
+        user="seed-logs-user",
+        team_id="seed-logs-team",
+        spend=log.spend,
+        model=log.model,
+        model_id=f"seed-logs-{log.model}",
+        model_group=log.model,
+        custom_llm_provider=log.provider,
+        api_base=f"https://api.{log.provider}.example",
+        prompt_tokens=log.prompt_tokens,
+        completion_tokens=log.completion_tokens,
+        total_tokens=log.prompt_tokens + log.completion_tokens,
+        startTime=start,
+        endTime=end,
+        completionStartTime=start + timedelta(milliseconds=min(400, log.duration_ms // 2)),
+        request_duration_ms=log.duration_ms,
+        session_id=log.session_id,
+        status=log.status,
+        cache_hit="False",
+        request_tags=Json(["seed-logs", log.label.split("-")[0]]),
+        metadata=Json(metadata(log, template)),
+        messages=Json(log.messages),
+        response=Json(log.response),
+        proxy_server_request=Json(log.proxy_server_request),
+    )
+
+
+COPY_SQL: Final = """INSERT INTO "LiteLLM_SpendLogs"
+SELECT (jsonb_populate_record(s, jsonb_build_object(
+    'request_id', s.request_id || '-copy-' || c.n,
+    'litellm_call_id', s.request_id || '-copy-' || c.n,
+    'session_id', NULL,
+    'startTime', s."startTime" - make_interval(secs => c.n * $3::bigint / 1000.0),
+    'endTime', s."endTime" - make_interval(secs => c.n * $3::bigint / 1000.0),
+    'completionStartTime', s."completionStartTime" - make_interval(secs => c.n * $3::bigint / 1000.0)
+))).*
+FROM "LiteLLM_SpendLogs" AS s CROSS JOIN generate_series(1, $2::int) AS c(n)
+WHERE s.request_id = $1"""
+
+
+class SeedOptions(BaseModel):
+    model_config = ConfigDict(frozen=True)
+    profile: Profile
+    timeout_seconds: float = 120
+
+
+def seed_arguments(argv: Sequence[str] | None = None) -> SeedOptions:
+    parser: Final = argparse.ArgumentParser(description="Insert synthetic request logs of controlled sizes into a local proxy DB")
+    parser.add_argument("--profile", choices=PROFILES, default="default")
+    parser.add_argument("--timeout-seconds", type=float, default=os.environ.get("LENS_DEV_SEED_TIMEOUT_SECONDS", "120"))
+    arguments: Final = SeedOptions.model_validate(vars(parser.parse_args(argv)))
+    if not math.isfinite(arguments.timeout_seconds) or arguments.timeout_seconds <= 0:
+        parser.error("--timeout-seconds must be finite and positive")
+    return arguments
+
+
+def metadata_template() -> dict[str, JsonValue]:
+    """A real captured row's metadata, so the drawer sees the keys the gateway writes."""
+    _, rows = spend_fixtures()[0]
+    return JSON_OBJECT.validate_json(rows[0]["metadata"])
+
+
+async def verify(client: httpx.AsyncClient, logs: tuple[SeededLog, ...], ui_base: str) -> None:
+    async def fetch(log: SeededLog) -> dict[str, JsonValue]:
+        detail: Final = await client.get(f"/spend/logs/ui/{log.request_id}")
+        detail.raise_for_status()
+        payload: Final = JSON.validate_json(detail.content)
+        return {
+            "label": log.label,
+            "bytes": len(detail.content),
+            "found": isinstance(payload, dict) and bool(payload),
+            "url": f"{ui_base}/ui/?page=logs&log_id={log.request_id}"
+            + (f"&session_id={log.session_id}" if log.session_id else ""),
+        }
+
+    results: Final = tuple(await asyncio.gather(*(fetch(log) for log in logs)))
+    sys.stdout.write(json.dumps(list(results), indent=2) + "\n")
+    if not all(result["found"] for result in results):
+        raise RuntimeError("Seeded request logs did not round-trip through /spend/logs/ui/{request_id}")
+
+
+async def seed(profile: Profile = "default", timeout_seconds: float = 120) -> int:
+    from prisma import Prisma
+
+    logs: Final = spread_offsets(seeded_logs(random.Random(RNG_SEED)))
+    template: Final = metadata_template()
+    now: Final = datetime.now(timezone.utc)
+    proxy_url: Final = os.environ.get("PROXY_BASE_URL", "http://127.0.0.1:4000")
+    ui_base: Final = os.environ.get("LENS_DEV_UI_URL", proxy_url)
+    async with (
+        httpx.AsyncClient(
+            base_url=proxy_url,
+            headers={"Authorization": f"Bearer {os.environ['LITELLM_MASTER_KEY']}"},
+            timeout=timeout_seconds,
+        ) as client,
+        Prisma(http={"timeout": httpx.Timeout(600)}) as database,
+    ):
+        await database.litellm_spendlogs.delete_many(where={"request_id": {"startswith": REQUEST_ID_PREFIX}})
+        await database.litellm_spendlogs.create_many(data=[postgres_row(log, template, now) for log in logs])
+        if profile == "large":
+            step_ms: Final = WINDOW_HOURS * 60 * 60 * 1000 // LARGE_COPIES
+            await database.execute_raw(COPY_SQL, f"{REQUEST_ID_PREFIX}baseline-small", LARGE_COPIES, step_ms)
+        await verify(client, tuple(log for log in logs if not log.session_id or log.label.endswith("-00")), ui_base)
+    total: Final = len(logs) + (LARGE_COPIES if profile == "large" else 0)
+    sys.stdout.write(f"Request log seed complete: profile={profile}, rows={total}, prefix={REQUEST_ID_PREFIX}\n")
+    return 0
+
+
+if __name__ == "__main__":
+    arguments: Final = seed_arguments()
+    raise SystemExit(asyncio.run(seed(arguments.profile, arguments.timeout_seconds)))

ui/litellm-dashboard/src/components/lens/onboarding/LensGettingStarted.tsx

@@ -30,9 +30,9 @@ export function LensGettingStarted({ state, onStart, onExit, onDemo }: LensGetti
     setupRef.current?.focus({ preventScroll: true });
   };
   return (
-    <div className="w-full space-y-6">
+    <div className="@container w-full space-y-6">
       <LensIntroduction onStart={start} onDemo={onDemo} />
-      <div className="grid items-start gap-6 xl:grid-cols-[minmax(0,1fr)_280px] xl:gap-8">
+      <div className="grid items-start gap-6 @3xl:grid-cols-[minmax(0,1fr)_280px] @3xl:gap-8">
         <OnboardingSetup
           ref={setupRef}
           tabIndex={-1}

ui/litellm-dashboard/src/components/lens/onboarding/LensIntroDialog.tsx

@@ -43,7 +43,7 @@ export function LensIntroDialog({ open, onClose, ...gettingStarted }: LensIntroD
     <Dialog open={open} onOpenChange={(next) => !next && close()}>
       <DialogContent
         showCloseButton={false}
-        className="max-h-[calc(100vh-4rem)] gap-0 overflow-y-auto p-0 sm:max-w-4xl"
+        className="max-h-[calc(100vh-4rem)] gap-0 overflow-y-auto p-0 sm:max-w-4xl xl:max-w-5xl 2xl:max-w-6xl"
       >
         <div className="sticky top-0 z-raised flex items-center justify-end gap-3 bg-popover/90 px-4 py-2 backdrop-blur-sm">
           <Label htmlFor={checkboxId} className="gap-2 text-xs font-normal text-muted-foreground">

ui/litellm-dashboard/src/components/lens/traces/list/TimeRangeControls.tsx

@@ -30,7 +30,7 @@ const fixedRangeLabel = (range: TimeWindow): string =>
 const presetLabel = (hours: number): string =>
   RANGE_PRESETS.find((preset) => preset.hours === hours)?.label ?? `Last ${hours} hours`;
 
-const SEGMENT = "inline-flex h-7 items-center gap-1.5 px-2.5 text-sm outline-none focus-visible:bg-accent";
+const SEGMENT = "inline-flex h-full items-center gap-1.5 px-3 text-sm outline-none focus-visible:bg-accent";
 
 interface TimeRangeControlsProps {
   fixedRange: TimeWindow | null;
@@ -51,7 +51,7 @@ export function TimeRangeControls({
   onLiveChange,
 }: TimeRangeControlsProps) {
   return (
-    <div className="flex items-center divide-x divide-border overflow-hidden rounded-lg border border-border bg-card">
+    <div className="flex items-stretch divide-x divide-border border-l border-border">
       <DropdownMenu>
         <DropdownMenuTrigger
           aria-label="Time range"

ui/litellm-dashboard/src/components/lens/traces/list/runSearch/RunSearch.tsx

@@ -31,8 +31,12 @@ export function RunSearch({ value, onChange, runs, range }: RunSearchProps) {
       value={value}
       onValueChange={onChange}
       label="Search runs"
+      className="h-full min-w-0"
     >
-      <SearchBox.Input className="rounded-lg" placeholder="Search runs, or filter like agent:researcher status:error" />
+      <SearchBox.Input
+        className="h-full rounded-none border-0 px-3 focus-within:bg-muted/40 focus-within:ring-0 dark:bg-transparent"
+        placeholder="Search runs, or filter like agent:researcher status:error"
+      />
       <SearchBox.Suggestions>
         <SearchBox.CopyCommand title={COPY_HINT} command={command} />
       </SearchBox.Suggestions>

ui/litellm-dashboard/src/components/lens/traces/list/runSearch/RunsToolbar.tsx

@@ -17,9 +17,9 @@ interface RunsToolbarProps {
 
 export function RunsToolbar({ query, onQueryChange, runs, range, children }: RunsToolbarProps) {
   return (
-    <div className="flex min-h-11 shrink-0 flex-wrap items-center gap-2 border-b border-border bg-card p-2">
+    <div className="flex h-10 shrink-0 items-stretch border-b border-border bg-card">
       <RunSearch value={query} onChange={onQueryChange} runs={runs} range={range} />
-      {children && <div className="ml-auto flex items-center gap-2">{children}</div>}
+      {children && <div className="flex shrink-0 items-stretch">{children}</div>}
     </div>
   );
 }