---
title: AI Cost Tracker — Integrating a New Project
tags: [how-to, ai, cost-tracking, integration]
created: 2026-04-27
updated: 2026-04-27
---

# Integrating a New Project with AI Cost Tracker

Step-by-step guide for connecting any Oliver backend project to the shared cost-tracker.

## Service URLs

| Environment | Base URL |
|---|---|
| Dev | `https://optical-dev.oliver.solutions/cost-tracker/v1` |
| Prod (future) | `https://cost.oliver.agency/v1` |

Health check: `GET {base_url}/health` → `{"status":"ok","db":"ok"}`

## Prerequisites

- Access to `https://optical-dev.oliver.solutions/cost-tracker/` (Microsoft SSO or ask Vadym for dev access)
- Your project is a Python backend (FastAPI/other) — or adaptable for any HTTP client

---

## Step 1 — Get an API key

1. Open the Admin UI → **API Keys** → **Create key**
2. Name it after your project (e.g. `video-accessibility-dev`)
3. Copy the key — it is shown **only once**
4. Store in your project's `.env` as `COST_TRACKER_API_KEY`

---

## Step 2 — Add environment variables

```env
COST_TRACKER_BASE_URL=https://optical-dev.oliver.solutions/cost-tracker/v1
COST_TRACKER_API_KEY=ct_live_xxxxxxxxxxxxxxxxxxxx
COST_TRACKER_SOURCE_APP=your-project-name
```

---

## Step 3 — Create a lightweight HTTP client

No SDK package exists — use `httpx` directly. Create `core/cost_tracker.py`:

```python
import httpx
from app.core.config import settings

_client: httpx.AsyncClient | None = None

def get_client() -> httpx.AsyncClient:
    global _client
    if _client is None:
        _client = httpx.AsyncClient(
            base_url=settings.cost_tracker_base_url,
            headers={"X-API-Key": settings.cost_tracker_api_key},
            timeout=10.0,
        )
    return _client
```

Add to `Settings` in `core/config.py`:

```python
cost_tracker_base_url: str = "https://optical-dev.oliver.solutions/cost-tracker/v1"
cost_tracker_api_key: str = ""
cost_tracker_source_app: str = "my-project"
```

---

## Step 4 — Wrap AI calls (preflight → call → record)

This is the **core pattern**. Every paid AI call follows three steps.

```python
from app.core.cost_tracker import get_client
import time

async def call_gemini_with_tracking(
    prompt: str,
    user_id: str,
    job_id: str,
    project_id: str | None = None,
) -> GenerateContentResponse:

    ct = get_client()

    # 1. Preflight — checks budget before making the AI call
    preflight = await ct.post("/preflight", json={
        "user_external_id": user_id,
        "project_external_id": project_id,
        "job_external_id": job_id,
        "source_app": settings.cost_tracker_source_app,
        "model": "gemini-2.5-pro-preview",
        "estimated_units": {
            "input_tokens": len(prompt) // 4,   # rough estimate
            "output_tokens": 2048,
        },
    })
    preflight.raise_for_status()
    pf = preflight.json()

    if not pf["allow"]:
        raise Exception(f"Budget exceeded: {pf.get('deny_reason')}")

    # 2. Actual AI call
    t0 = time.monotonic()
    response = await client.models.generate_content(
        model="gemini-2.5-pro-preview",
        contents=prompt,
    )
    elapsed_ms = int((time.monotonic() - t0) * 1000)

    # 3. Record actual usage
    await ct.post("/usage/record", json={
        "request_id": pf["request_id"],
        "user_external_id": user_id,
        "project_external_id": project_id,
        "job_external_id": job_id,
        "source_app": settings.cost_tracker_source_app,
        "model": "gemini-2.5-pro-preview",
        "units": {
            "input_tokens": response.usage_metadata.prompt_token_count,
            "output_tokens": response.usage_metadata.candidates_token_count,
        },
        "latency_ms": elapsed_ms,
        "status": "success",
    })

    return response
```

For providers without token metadata (ElevenLabs, Google Cloud TTS), use `chars` instead:

```python
await ct.post("/usage/record", json={
    ...
    "model": "eleven_multilingual_v2",
    "units": {"chars": len(text)},
    "latency_ms": elapsed_ms,
    "status": "success",
})
```

See [[wiki/tech-patterns/cost-tracker-providers|cost-tracker-providers]] for all provider details.

---

## Step 5 — Handle errors gracefully (don't break the AI pipeline)

Cost tracking should never crash your main pipeline. Wrap calls:

```python
async def safe_preflight(ct, payload) -> dict:
    """Returns allow=True by default if cost-tracker is unreachable."""
    try:
        r = await ct.post("/preflight", json=payload)
        r.raise_for_status()
        return r.json()
    except Exception as e:
        logger.warning(f"Cost tracker preflight failed (allowing call): {e}")
        return {"allow": True, "request_id": None, "estimated_cost_usd": 0}

async def safe_record(ct, payload) -> None:
    try:
        r = await ct.post("/usage/record", json=payload)
        r.raise_for_status()
    except Exception as e:
        logger.warning(f"Cost tracker record failed (call already made): {e}")
```

> **Note:** For higher reliability, implement a SQLite outbox — save failed records to a local DB and retry on next request. This is optional for most projects.

---

## Step 6 — Sync users and projects (optional but recommended)

When a user is created or a project is configured in your app, mirror it to the cost-tracker so it appears in the analytics UI with a proper name:

```python
# On user create/login
await ct.post("/users/upsert", json={
    "external_id": str(user.id),
    "source_app": settings.cost_tracker_source_app,
    "email": user.email,
    "full_name": user.full_name,
})

# On project create
await ct.post("/projects/upsert", json={
    "external_id": str(project.id),
    "source_app": settings.cost_tracker_source_app,
    "name": project.name,
    "workspace_id": "your-workspace-id",  # from Admin UI
})
```

---

## Step 7 — Create Workspace / Team / Project in Admin UI

Before going live:

1. **Admin UI** → `https://optical-dev.oliver.solutions/cost-tracker/`
2. **Workspaces** → Create (e.g. "Ford", "H&M", or "Oliver Internal")
3. **Teams** → Create under workspace (e.g. "Video Production")
4. **Projects** → Create under team, set `source_app` = your project name
5. **API Keys** → Create key, assign to the project

> Jobs sent before a project is created appear as **Unassigned** in the dashboard — assignable later in bulk.

---

## Step 8 — Set budgets and alerts

**Admin UI → Budgets → Create:**

- `scope_type`: workspace / team / project
- `amount_usd`: monthly limit
- `alert_thresholds`: `[0.5, 0.8, 1.0]` → email alerts at 50%, 80%, 100%
- `hard_limit`: `true` → preflight returns `allow=false` when exceeded

---

## Step 9 — Smoke test

```bash
BASE="https://optical-dev.oliver.solutions/cost-tracker/v1"
KEY="ct_live_your_key_here"

# 1. Health
curl "$BASE/health"
# → {"status":"ok","db":"ok"}

# 2. Preflight
curl -X POST "$BASE/preflight" \
  -H "X-API-Key: $KEY" \
  -H "Content-Type: application/json" \
  -d '{"user_external_id":"test-user","source_app":"my-project","model":"gemini-2.5-pro-preview","estimated_units":{"input_tokens":1000,"output_tokens":200}}'
# → {"allow":true,"estimated_cost_usd":...,"request_id":"..."}

# 3. Record
curl -X POST "$BASE/usage/record" \
  -H "X-API-Key: $KEY" \
  -H "Content-Type: application/json" \
  -d '{"request_id":"<from above>","user_external_id":"test-user","source_app":"my-project","model":"gemini-2.5-pro-preview","units":{"input_tokens":987,"output_tokens":180},"latency_ms":1200,"status":"success"}'
# → {"event_id":"...","cost_usd":0.00214}
```

Then open the Admin UI Dashboard — the test event should appear within seconds.

---

## Troubleshooting

| Symptom | Cause | Fix |
|---|---|---|
| `401 Unauthorized` | Wrong or missing API key | Check `COST_TRACKER_API_KEY`; verify key active in Admin UI |
| `preflight.allow = false` | Budget exceeded | Admin UI → Budgets → raise limit |
| Events missing from dashboard | `source_app` mismatch | Ensure `source_app` matches in preflight, record, and project upsert |
| `cost_usd = null` on events | Model not in pricing table | Admin UI → Pricing → add model manually, or wait for LiteLLM sync |
| 502/504 from reverse proxy | cost-tracker containers down | `ssh optical-dev "docker compose -f /opt/ai-cost-tracker/infra/docker-compose.yml ps"` |

## Related articles

- [[wiki/architecture/ai-cost-tracker|ai-cost-tracker architecture]] — full system diagram and design decisions
- [[wiki/tech-patterns/cost-tracker-pricing-sources|cost-tracker-pricing-sources]] — pricing pipeline
- [[wiki/tech-patterns/cost-tracker-providers|cost-tracker-providers]] — billing units per AI provider