All models
tool
Image generator
tool-image-gen
Text-to-image generation.
Decision and plan target (no provider attached) PII allowed
- Price per 1M tokens
- $40
- $0.04 per 1k
- Requests · 30d
- 0
- no traffic
- Latency
- 9000 ms
- declared
- Success rate
- n/a
- quality prior 0.85
Traffic over 30 days
Requests per day this target answered on this deployment, with the cost line.
No requests yet. Route something from the playground to see usage here.
- Tokens
- 0
- Spend
- $0
- Previous window
- 0 req
Routed for
Domains the signal layer detected on requests that ended here.
No routed requests yet. Declared domains: Creative, Marketing.
Capabilities
DomainsCreative, Marketing
ActionsImage
Complexity band0.00 - 1.00
Languagesen
Context windowundeclared
Streamingyes
Policy constraints
Hard stops enforced before scoring.
Data boundaryPublic
Regionsanywhere
PIIallowed
Max input tokensunlimited
Tenantsall
Representative prompts
Examples the similarity strategy matches against.
- Draw a picture of a fox reading a book in a forest.
- Generate a hero image for our landing page.
Route to it
This tool is not executed by the platform. Ask the router for a decision restricted to kinds=["tool"] and dispatch the winner in your own stack; send feedback afterwards so the learners improve.
curlbash
curl https://api.opensmartroute.ai/api/v1/route \
-H "Authorization: Bearer $OSR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "Draw a picture of a fox reading a book in a forest.", "kinds": ["tool"], "top_k": 3}'
# Returns the chosen target, confidence, the ranked alternatives and the
# per-strategy trace. Execution of tool targets happens in your stack.httpxpython
import httpx
r = httpx.post(
"https://api.opensmartroute.ai/api/v1/route",
headers={"Authorization": "Bearer osr_live_..."},
json={"text": "Draw a picture of a fox reading a book in a forest.", "kinds": ["tool"]},
)
d = r.json()
print(d["target"]["id"], d["confidence"])
print([t["id"] for t in d["ranked"]]) # e.g. tool-image-gen first when it fits