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OpenSmartRoute
All models
personaplan slot only

Friendly support persona

persona-friendly-support

Warm, concise, de-escalating tone for customer conversations.

Decision and plan target (no provider attached) PII allowed
Price per 1M tokens
free
$0 per 1k
Requests · 30d
0
no traffic
Latency
0 ms
declared
Success rate
n/a
quality prior 0.75

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: Customer Support, General Chat.

Capabilities

DomainsCustomer Support, General Chat
ActionsQa, Action, Generation
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.

  • I'm frustrated, my order still hasn't arrived.

Route to it

This persona is not executed by the platform. Ask the router for a decision restricted to kinds=["persona"] 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": "I'm frustrated, my order still hasn't arrived.", "kinds": ["persona"], "top_k": 3}'

# Returns the chosen target, confidence, the ranked alternatives and the
# per-strategy trace. Execution of persona 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": "I'm frustrated, my order still hasn't arrived.", "kinds": ["persona"]},
)
d = r.json()
print(d["target"]["id"], d["confidence"])
print([t["id"] for t in d["ranked"]])  # e.g. persona-friendly-support first when it fits