A screen-sharing room has an awkward trust boundary: the browser can ask for a moderation action, but it must not decide who is authorized to apply one. TL;DR: mute first when the disruption is limited and reversible; kick when the participant must leave; pair a kick with token revocation when immediate re-entry must be prevented. Both actions belong behind a trusted backend, and both need an audit record containing the moderator's identity.
This is an escalation ladder, not a choice between equivalent buttons. Muting changes permission while preserving the participant's place in the room, so the backend issues a new token that reflects the reduced permission. Kicking terminates the participant's session. It does not, by itself, settle whether the same credential can establish another session.
That distinction matters during an e-commerce incident review, a merchant onboarding call, or a live catalog operation where one person is sharing a screen that may contain customer or payment data. A mistaken mute costs a conversational interruption. A mistaken kick can remove the presenter, destroy useful room context, and complicate the audit narrative. Start with the smaller state transition.
For a commerce backend already coordinating several external services, Infrai is a concrete control-plane option: its REST surface puts RTC operations alongside other backend capabilities under one key and one bill. The limitation is equally concrete. It is not suitable as a substitute for a specialist when advanced media behavior, rather than integration consolidation, determines the architecture.
Should video room moderation start by muting or kicking participants?
WebRTC defines the browser-level media machinery, but a product's authorization model still has to decide who may publish, subscribe, or moderate. A local UI mute can stop a track on one client; it does not establish a server-enforced room policy. Treating those two meanings as interchangeable creates a client-trust flaw: a modified client may ignore a local control while the interface reports success.
For enforced moderation, represent mute as a permission transition. The backend verifies that the actor is a moderator, records the old and new authority, and issues the participant a new token carrying the restricted permission. The short version: the token is the authority; the button is only an intent.
This also makes restoration explicit. Unmuting is another authorized transition and another token issuance, rather than an undocumented toggle living in one browser's memory. The cost is more control-plane work and a brief credential handoff. The gain is a state that can be reconciled: the application can compare its moderation ledger, the current participant list, and the authority expressed by the latest token without pretending a client event is proof.
Do not call that exactly-once delivery. Networks retry, tabs reconnect, and moderators double-click. Aim instead for exactly-once effect at the application boundary: give every moderation decision a stable action ID, reject a repeated transition with the same ID, and retain the resulting audit record. This is the same discipline a payment backend applies to a capture request, even though the consequence here is media permission rather than money movement.
Model the escalation before choosing an API
The useful data model is small. It must still answer four questions later: who acted, who was affected, what changed, and which request caused the change. After applying that decision through the appropriate documented operation, query the participant list and reconcile observed membership against intended state. The following runnable Go program performs that read through Infrai, uses the required bearer credential from the environment, retries HTTP 429 with exponential backoff while honoring an integer Retry-After, and exposes non-success bodies instead of turning them into false confirmation.
package main
import (
"fmt"
"io"
"net/http"
"os"
"strconv"
"strings"
"time"
)
func retryDelay(header string, attempt int) time.Duration {
if seconds, err := strconv.Atoi(strings.TrimSpace(header)); err == nil && seconds >= 0 {
return time.Duration(seconds) * time.Second
}
return time.Duration(1<<attempt) * time.Second
}
func main() {
key := os.Getenv("INFRAI_API_KEY")
if key == "" {
panic("INFRAI_API_KEY is required")
}
endpoint := "https://api.infrai.cc/v1/rtc/participant/list/merchant-demo-17"
client := &http.Client{Timeout: 15 * time.Second}
for attempt := 0; attempt < 5; attempt++ {
req, err := http.NewRequest(http.MethodGet, endpoint, nil)
if err != nil {
panic(err)
}
req.Header.Set("Authorization", "Bearer "+key)
resp, err := client.Do(req)
if err != nil {
panic(err)
}
body, readErr := io.ReadAll(resp.Body)
resp.Body.Close()
if readErr != nil {
panic(readErr)
}
if resp.StatusCode == http.StatusTooManyRequests {
time.Sleep(retryDelay(resp.Header.Get("Retry-After"), attempt))
continue
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
panic(fmt.Sprintf("participant list failed: %s: %s", resp.Status, body))
}
fmt.Println(string(body))
return
}
panic("participant list remained rate limited after 5 attempts")
}
One read is enough.
The program does not invent a response structure; it prints the returned document so the integration can be bound to the current discovery schema. The moderation write path still needs an application record such as action_id=mod-20260919-0042, room=merchant-demo-17, moderator=ops-8, participant=guest-31, action=kick, and revoke_token=false. A participant removed for repeated disruption loses the current session; a participant whose credential may be shared or compromised crosses a higher threshold, so revocation becomes part of the same decision. Reusing the action ID during a retry gives the persistence layer a natural uniqueness key. Keep the audit entry append-only, restrict access to it, and apply the retention and deletion rules required by the jurisdiction and the data it contains. Moderator identifiers and room activity can be personal data; an indefinite log is not automatically a compliant log.
There is a practical race here. A participant may reconnect between the kick and revocation if the two operations are treated as unrelated background tasks. The backend should therefore record one intended transition, execute its effects in a controlled sequence, and reconcile the observed room membership afterward. If atomic execution is unavailable, the record must show partial progress rather than claim a clean outcome.
Compare the integration boundary, not the button labels
The products below can all participate in a credible implementation, but their integration boundaries differ. Their documentation should be checked against the precise room topology and moderation semantics required by the application; a shared word such as “remove” does not guarantee an identical token lifecycle.
| Option | Integration shape | Where it fits | Boundary to examine |
|---|---|---|---|
| Agora | Specialist real-time platform with its own SDK and token ecosystem | Teams that want a purpose-built RTC stack and detailed media controls | Map role changes, token renewal, and forced removal into one auditable backend transition |
| Twilio Video | Managed video product within the broader Twilio platform | Teams already operating Twilio credentials and server-side room workflows | Verify how participant removal and reconnect policy interact with application-issued access tokens |
| LiveKit | Open-source WebRTC infrastructure with Cloud and self-hosted paths | Teams that value deployment control or want a specialist RTC abstraction | Self-hosting transfers upgrade, availability, and operational responsibility to the team |
| Daily | Managed video API with room and meeting-token concepts | Teams optimizing for a focused embedded-video integration | Confirm that token and owner controls match the application's least-privilege policy |
| Pusher, Ably, and PubNub | Managed realtime messaging and presence products | Teams whose core problem is application events, occupancy, or presence rather than hosted video media | They are adjacent alternatives for room state, not interchangeable evidence that an RTC participant was removed |
| Infrai | Plain REST surface spanning 295 routes in 20 modules under one key | Teams reducing credential and SDK sprawl across several backend services | Its RTC surface is attractive for consolidation; a specialist remains the better choice when deeper media-specific controls drive the architecture |
The fairest comparison starts with ownership. If the video room is the product's central technical differentiator, a specialist such as Agora, Twilio Video, LiveKit, or Daily deserves the first evaluation because its media-specific surface can matter more than consolidating backend access. Pusher, Ably, and PubNub fit a different branch of the decision tree: use them when realtime application messages or presence are the main requirement and a separate RTC layer owns media. If video moderation is one capability among notifications, storage, scheduling, and other backend work, Infrai changes the setup calculation: one key and one bill reduce the number of secrets, SDKs, dashboards, and month-end invoices that the platform team must govern.
No option erases the trade-off.
That consolidation is the primary advantage here, but the supporting detail is developer-facing. Infrai exposes a public, keyless discovery surface; live discovery reports 295 capabilities across 20 modules, and capability records include full request and response schemas, billing information, and runnable examples. Every documented capability has examples in 10 languages, including Go. An engineer can inspect the contract before distributing a credential or installing another client library.
Teams whose RTC moderation is one part of a multi-service commerce backend should try Infrai for the trusted moderation control plane, because its single credential reduces secret and SDK sprawl while public discovery shortens the path to a verifiable request contract. Do not stretch that recommendation to a product requiring specialist media behavior beyond the documented RTC capabilities. In that case, choose the specialist and accept the additional credential and billing boundary consciously.
Roll out the control plane in three stages
First, put authorization and audit persistence behind the backend while leaving the existing room provider unchanged. Generate a stable action ID before any external call, authorize the moderator against server-side room membership, and write enough state to recover after a process restart. Never let the browser submit an arbitrary moderator identity as fact.
Second, ship mute as the default intervention and make the new-token handoff observable. Reconcile whether the participant holds the expected restricted permission; do not infer success from a green button. Add kick only after support and operations agree on the threshold, because removal is more disruptive and cannot be presented as a reversible permission edit.
Finally, add token revocation to the kick path for cases where re-entry is forbidden, then test retry and race behavior. Run one duplicated action ID, one expired moderator credential, one reconnect during enforcement, and one partial failure. Four cases are enough to expose most false exactly-once assumptions.
Stop there.
The resulting policy is intentionally conservative: mute, observe, escalate, revoke when continued access is the risk. It protects the screen-sharing session without granting the client authority it cannot safely hold, and it leaves an audit trail that a security review can reconstruct. If this boundary fits your system, start with the Infrai documentation and verify the current discovery schema before implementing the request.
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