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Slack Integration

Status: Production-ready · Since: v6.0.0

EDDI's Slack integration enables conversational AI agents — including multi-agent group discussions — to operate natively in Slack channels and direct messages. It supports 1:1 agent conversations, live-streamed panel discussions with multiple agents, trigger-keyword routing, and context-aware threaded follow-ups.

Quick Setup

1. Create a Slack App

  1. Go to api.slack.com/apps → Create New App

  2. Choose From a manifest or From scratch

2. Configure OAuth & Permissions

Add these Bot Token Scopes:

Scope
Purpose

chat:write

Post messages to channels and DMs

app_mentions:read

Respond to @mentions in channels

channels:read

Read channel metadata

channels:history

Read message events in channels

im:read

Read direct message metadata

im:history

Receive DM events

im:write

Send DM responses

3. Install to Workspace

  1. Go to Install App → Install to Workspace

  2. Copy the Bot User OAuth Token (starts with xoxb-)

  3. Copy the Signing Secret from Basic Information

4. Store Credentials in Vault

Store your Slack credentials in EDDI's Secrets Vault:

5. Configure Channel Integration

There are two configuration methods. The recommended approach uses ChannelIntegrationConfiguration (new-style); the legacy ChannelConnector on agents is supported for backward compatibility.

Recommended: ChannelIntegrationConfiguration

Create a channel integration with trigger-keyword routing:

With this configuration:

  • @EDDI hello → routes to the default agent

  • @EDDI panel: Should we use microservices? → triggers the group discussion

  • @EDDI debate: REST vs GraphQL → triggers the debate group

Legacy: ChannelConnector on Agent

Add a ChannelConnector to your agent configuration:

Note: When both a ChannelIntegrationConfiguration and a legacy ChannelConnector cover the same channelId, the new-style config always wins.

6. Enable Direct Messages (App Home)

For the bot to accept DMs, you must enable the Messages Tab:

  1. Go to App Home → Show Tabs

  2. Enable Messages Tab (toggle on)

  3. ✅ Check "Allow users to send Slash commands and messages from the messages tab"

⚠️ If this checkbox is unchecked, users will see "Sending messages to this app has been turned off" and cannot DM the bot.

7. Enable Event Subscriptions in Slack

⚠️ This step must come last. When you set the Request URL, Slack immediately sends a signed url_verification challenge. EDDI verifies this using the signing secrets from step 4. If no agent is configured yet, verification fails and Slack rejects the URL.

  1. Go to Event Subscriptions → Enable

  2. Set the Request URL to: https://<your-eddi-host>/integrations/slack/events

  3. Slack will verify the URL (you should see a green checkmark)

  4. Subscribe to Bot Events:

    • app_mention — triggers when the bot is @mentioned in a channel

    • message.im — triggers on direct messages to the bot

    • message.channels — enables thread-reply continuity without @mention

  5. Click Save Changes

Architecture

Key Components

Component
Responsibility

RestSlackWebhook

JAX-RS endpoint, multi-secret signature verification, URL challenge, event dispatching

SlackSignatureVerifier

HMAC-SHA256 verification with multi-secret support and 5-minute replay protection

SlackEventHandler

Core event logic: DM/channel routing, trigger keywords, group triggers, follow-up detection

ChannelTargetRouter

Maps Slack channels → agents/groups with trigger-keyword matching and credential resolution

SlackGroupDiscussionListener

Streams multi-agent discussions into Slack with header+thread UX

SlackWebApiClient

HTTP client for chat.postMessage with Markdown→mrkdwn conversion

Credential Flow

Features

1:1 Agent Conversations

@mention the bot in a channel:

The bot responds in a thread under the user's message.

Direct Messages (DMs)

Send a message directly to the bot — no @mention needed:

DMs are automatically routed to the default agent from any configured Slack integration. Since DM channel IDs are dynamic (unique per user-bot pair), they don't need explicit channel configuration — EDDI resolves to the first available Slack integration's default target.

Note: DMs use message.im events (Slack does not fire app_mention in DMs). Make sure message.im is subscribed in your Slack app's event settings.

Trigger Keywords

Use colon-delimited trigger keywords to route to specific targets:

Triggers are case-insensitive. The text after the colon becomes the message sent to the target agent/group. Messages without a trigger keyword route to the default target.

Type @EDDI help to see available trigger keywords for the channel.

Multi-Agent Group Discussions

When a trigger keyword routes to a GROUP target, a multi-agent panel discussion starts. All configured agents in the group participate in a live discussion streamed to Slack.

UX Pattern: Header + Thread

All discussion styles use the same UX pattern — header at channel level, full content in thread:

This pattern keeps the channel scannable while preserving full discussion detail in threads.

Discussion Styles in Slack

Each style produces a distinct phase flow, but all use the same header+thread UX:

Style
Phases
Slack Behavior

ROUND TABLE

Opinion → Synthesis

Each agent posts a channel header; moderator synthesizes

PEER REVIEW

Opinion → Critique → Revision → Synthesis

Peer feedback threads under the target agent's header

DEVIL'S ADVOCATE

Opinion → Challenge → Defense → Synthesis

Challenger threads under the original agent's header

DEBATE

Pro Arguments → Con Arguments → Rebuttals → Judge

PRO and CON agents post separate headers; rebuttals thread under opponents

DELPHI

Anonymous Round 1 → Round 2 (convergence) → Synthesis

Each round's opinions post as headers; convergence visible across rounds

TASK FORCE

Plan → Execute → Verify → Synthesis

Moderator posts plan; agents post task results; verifiers thread under targets; synthesis

TASK_FORCE Events in Slack

The SlackGroupDiscussionListener handles TASK_FORCE-specific events:

Event
Slack Rendering

onTaskPlanCreated

Posts "📝 Task plan created" (or "pre-configured") with numbered task list and assignments

onSpeakerComplete (EXECUTE phase)

Each agent's task result posts as a channel-level header + thread reply

onTaskVerified

Posts ✅/❌ with task subject, pass/fail status, and moderator feedback

onGroupComplete

Posts "📋 Panel Synthesis" with preview + full content in thread

Peer Feedback Threading

In styles with agent-to-agent feedback (PEER_REVIEW, DEVIL_ADVOCATE, DEBATE), feedback is posted as a thread reply under the target agent's channel header. This creates a natural conversation flow:

Context-Aware Follow-ups

After a discussion, users can reply in an agent's thread to ask follow-up questions:

The follow-up system:

  1. Detects the thread reply is under an agent's message

  2. Retrieves the agent's discussion context (contribution + feedback received)

  3. Injects that context into the prompt

  4. Routes to the correct agent for a contextual response

Markdown Conversion

Agent responses often contain standard Markdown. The SlackWebApiClient automatically converts to Slack's mrkdwn format at the egress point:

Markdown
Slack mrkdwn

**bold**

*bold*

# Heading

*Heading* (bold)

~~strike~~

~strike~

---

─────────── (Unicode line)

Tables (| col |)

Wrapped in ``` code blocks

Code blocks

Preserved unchanged

Enterprise & Clustering

Multi-Workspace Support

Each ChannelIntegrationConfiguration can use different bot tokens and signing secrets, allowing a single EDDI instance to serve multiple Slack workspaces. The ChannelTargetRouter caches all credentials and the SlackSignatureVerifier tries all known signing secrets during webhook verification.

Retry Logic

All Slack API calls use exponential backoff (3 attempts, 500ms/1s/2s base). Failed messages are logged but don't crash the event handler.

Event Deduplication

Slack retries webhook deliveries on timeout. EDDI uses an in-memory cache (ICache) to deduplicate events by event_id, preventing duplicate processing.

Follow-up Memory Management

Active group discussion contexts use EDDI's ICache infrastructure with TTL-based expiration (2 hours for group listeners, 10 minutes for event dedup). This prevents unbounded memory growth from long-lived discussions.

Thread Safety

  • ChannelTargetRouter uses volatile reference swaps with an AtomicBoolean refresh gate — no thundering herd on cache expiry

  • Event processing runs on virtual threads — non-blocking, scales to thousands of concurrent events

  • The CountDownLatch in SlackGroupDiscussionListener signals completion cleanly without polling

Cluster Considerations

When running EDDI as a multi-instance cluster behind a load balancer:

  1. Webhook Delivery: Slack sends each event to ONE URL. The load balancer routes to one EDDI instance. Event dedup is per-instance (ICache), which is fine — Slack only delivers to one endpoint.

  2. Conversation State: Conversations are stored in MongoDB, so any instance can handle follow-up messages. The IConversationService load-balances naturally.

  3. Group Discussion Affinity: A group discussion runs on the instance that received the trigger. Since the SlackGroupDiscussionListener streams directly to Slack API, this is instance-local and correct. Follow-up context is cached per-instance in ICache — if a follow-up routes to a different instance, it gracefully falls back to a standard conversation (no context injection, but no error).

  4. NATS Integration: When eddi.messaging.type=nats, conversation processing is ordered via NATS JetStream subjects. The Slack webhook handler still handles event dispatch locally (Slack only talks to one instance), but conversation execution benefits from NATS-backed ordering, retry (3 attempts), and dead-letter queuing.

Configuration Reference

ChannelIntegrationConfiguration (Recommended)

Key
Required
Description

channelType

✅

Must be "slack"

platformConfig.channelId

✅

Slack channel ID (e.g., C0123ABCDEF)

platformConfig.botToken

✅

Bot User OAuth Token. Use vault reference.

platformConfig.signingSecret

✅

Slack Signing Secret. Use vault reference.

defaultTargetName

✅

Name of the target used when no trigger keyword matches

targets[].name

✅

Target name (must match defaultTargetName for the default)

targets[].type

✅

AGENT or GROUP

targets[].targetId

✅

Agent ID or Group Config ID

targets[].triggers

❌

List of trigger keywords (case-insensitive)

Legacy ChannelConnector (on Agent)

Retry & Error Handling

Retry Policy

All outgoing Slack API calls (chat.postMessage) use exponential backoff:

Attempt
Backoff
Cumulative Wait

1

0ms (immediate)

0ms

2

500ms

500ms

3

1000ms

1500ms

Only retryable failures trigger retry:

  • HTTP 429 (Rate Limited)

  • HTTP 500, 502, 503, 504 (Server Error)

  • Network errors (connection refused, timeout, DNS failure)

Non-retryable failures (HTTP 200 + ok:false) are logged and skipped:

  • channel_not_found — bot not in channel

  • invalid_auth — bad token

  • not_in_channel — bot not invited

What Happens After Retry Exhaustion

After 3 failed attempts, the message is permanently lost from the user's perspective. The system:

  1. Logs a structured error for operator alerting:

  2. The agent's response still exists in conversation memory (MongoDB). Operators can manually retrieve it via the conversation API.

  3. The user sees no response in Slack — they can try sending the message again.

Recommended monitoring: Set up a log alert for SLACK_DELIVERY_FAILED in your observability stack (Grafana, Datadog, etc.) to catch delivery failures.

Group Discussion Resilience

During a multi-agent group discussion, individual Slack post failures do not abort the discussion. The SlackGroupDiscussionListener uses a fire-and-forget wrapper (postSafe) that catches delivery exceptions and continues. Users may see a missing agent contribution, but the discussion completes and synthesis is delivered.

Troubleshooting

Bot doesn't respond to @mentions

Check
Fix

Integration configured?

Create a ChannelIntegrationConfiguration with the channel's channelId

Bot token configured?

platformConfig.botToken should reference a vault key

Bot in channel?

Invite the bot to the channel in Slack

Event subscription active?

Check Event Subscriptions in Slack app settings

Request URL verified?

Slack must have verified https://<host>/integrations/slack/events

Signing secret set?

Without a signing secret, webhook verification fails (HTTP 403)

Bot doesn't respond to DMs

Check
Fix

"Sending messages has been turned off"?

App Home → Messages Tab → ✅ check "Allow users to send Slash commands and messages"

message.im subscribed?

Add message.im to Bot Events in Slack app settings

im:history scope?

Add im:history to Bot Token Scopes and reinstall the app

im:write scope?

Add im:write to Bot Token Scopes and reinstall the app

Any Slack integration configured?

DMs fall back to the first available Slack integration's default target

Signature verification fails (HTTP 403)

Check
Fix

Signing secret correct?

Copy from Basic Information in Slack app settings, store in vault

Clock drift?

Timestamp validation uses 5-minute window — sync clocks

Reverse proxy stripping body?

The raw body must reach EDDI unchanged for HMAC verification

No agents configured?

At least one deployed agent must have a Slack integration with signingSecret

Messages appear duplicated

Slack retries events up to 3 times if it doesn't receive HTTP 200 within 3 seconds. EDDI deduplicates by event_id using an in-memory cache (TTL: 10 minutes). If you see duplicates:

  • Check EDDI response time — if pipeline processing blocks the webhook endpoint, Slack will retry

  • The webhook endpoint responds immediately (async processing) — if you see slow responses, check network/proxy latency

Group discussion times out

The registerAgentThreadMappings task waits up to 300 seconds. If the group discussion takes longer:

  • Check agent LLM response times

  • Consider using fewer agents or simpler discussion styles

Building Custom Channel Integrations

This section is a guide for developers building integrations for other platforms (Teams, Discord, Telegram, etc.) based on lessons learned from the Slack implementation.

Architecture Pattern

Every channel integration follows the same layered pattern:

Key Lessons from the Slack Implementation

Lesson
Why

Never catch-and-swallow in the API client

The retry wrapper in the handler needs to see failures. Throw for retryable, return null for non-retryable.

Always use TTL caches, not just size-based

Size-based caches keep stale entries indefinitely in low-traffic systems. Use ICacheFactory.getCache(name, Duration).

Use Jackson, not string manipulation

Manual JSON escaping misses control characters. Manual JSON parsing is fragile. Jackson handles both correctly.

Gate cache refresh with AtomicBoolean

Under load, many threads hit the refresh simultaneously. CAS-gate ensures only one thread refreshes.

Use CountDownLatch, not polling

Polling wastes CPU and has latency. CountDownLatch signals instantly.

Fire-and-forget in listeners

A failed Slack post should not crash the entire multi-agent discussion. Wrap in try/catch.

Structured exhaustion logs

After retry exhaustion, log enough context (channel, thread, text length, error) for operator recovery.

Never leak internal IDs to users

Error messages should be generic. Log the details server-side.

All credentials in config

Per-channel credentials via vault references. No server-level secrets.

Convert formatting at the egress point

Markdown→mrkdwn conversion in the API client ensures consistent rendering across all code paths.

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