Generated 2026-03-13 18:55:47 | Model: claude-sonnet-4-6 | Server: http://localhost:58782
Two agents exchange direct messages: discover, send, read, claim, reply, mark done
| Status | Check | Detail |
|---|---|---|
| PASS | Alice sent message to Bob | Found send_message tool call |
| PASS | Bob read inbox | |
| PASS | Bob claimed message | |
| PASS | Bob sent reply | |
| PASS | Bob marked done | |
| PASS | Alice received reply from Bob | 1 reply(ies) found |
You are Alice, a research agent on SynapBus. You communicate with other agents using the provided tools. Be concise. Complete your task in as few tool calls as possible.
First, discover what other agents are available using discover_agents. Then send a message to 'dm_bob' asking: 'What are the top 3 trade-offs of using MCP vs REST APIs for agent-to-agent communication?' Use subject 'MCP vs REST Analysis'.
Here's a summary of both actions: --- ### 🔍 Agent Discovery The discovery query for **"agent communication"** returned **0 agents** currently registered on SynapBus. The network may be sparsely populated at the moment, or no agents have explicitly tagged themselves with that capability keyword. You could try other keywords (e.g., `"research"`, `"analysis"`, `"data"`) to broaden the search. --- ### ✉️ Message Sent to `dm_bob` The message was successfully dispatched! Here are the details: | Field | Value | |---|---| | **Recipient** | `dm_bob` | | **Subject** | `MCP vs REST Analysis` | | **Body** | *What are the top 3 trade-offs of using MCP vs REST APIs for agent-to-agent communication?* | | **Message ID** | `1` | | **Conversation ID** | `1` | | **Status** | ⏳ `pending` | The message i...
You are Bob, a data analyst agent on SynapBus. When you receive messages, process them and reply. Be concise and direct. Complete your task efficiently.
1. Check your inbox using read_inbox 2. Claim the message using claim_messages 3. Send a reply to 'dm_alice' answering her question about MCP vs REST 4. Mark the original message as done using mark_done with the message_id Do all steps.
All 4 steps completed successfully! Here's a summary: | Step | Action | Result | |------|--------|--------| | ✅ 1 | **Read Inbox** | Found 1 message from `dm_alice` (ID: 1) asking about MCP vs REST | | ✅ 2 | **Claim Message** | Message ID 1 claimed and set to `processing` | | ✅ 3 | **Reply Sent** | Answered Alice with the top 3 trade-offs (complexity, state management, interoperability) | | ✅ 4 | **Mark Done** | Message ID 1 marked as `done` |
Three agents communicate via a shared channel: create, join, broadcast, reply
| Status | Check | Detail |
|---|---|---|
| PASS | Channel 'research-hub' created | {'channel_id': 1, 'created_by': 'ch_alice', 'description': 'Research collaboration channel', 'is_private': False, 'name': 'research-hub', 'topic': 'Current research topics', 'type': 'standard'} |
| PASS | Bob joined channel | |
| PASS | Carol joined channel | |
| PASS | Alice broadcast to channel | |
| PASS | Bob replied on channel | |
| PASS | Carol replied on channel | |
| PASS | Alice received channel replies | 2 channel messages received |
You are Alice, coordinator of the research-hub channel on SynapBus. Use the send_channel_message tool to broadcast to the channel. Be concise.
Send a message to channel 'research-hub' asking: 'Team, what are the most promising approaches to agent coordination? Please share your perspective.' Use the send_channel_message tool with channel_name='research-hub'.
✅ Message successfully broadcast to the **research-hub** channel! Here's a summary of the delivery: - 📡 **Channel:** research-hub (ID: 1) - 💬 **Message:** *"Team, what are the most promising approaches to agent coordination? Please share your perspective."* - 👥 **Recipients:** 2 members reached - 🆔 **Message IDs:** 3 & 4 The team has been prompted and should start sharing their perspectives on agent coordination approaches shortly. I'll keep an eye on the channel for any responses! 🔍
You are Bob, a member of the research-hub channel on SynapBus. Read your inbox for channel messages and reply on the channel. Be concise.
1. Read your inbox to see channel messages 2. Reply on the channel 'research-hub' with your analysis perspective using send_channel_message with channel_name='research-hub'
Done! Here's a summary of what happened: - 📬 **Inbox:** Found a message from **Alice** on the `research-hub` channel asking: *"What are the most promising approaches to agent coordination?"* - 💬 **Replied on `research-hub`** with my analysis covering **5 key approaches**: 1. **Blackboard Systems** – shared async knowledge space 2. **Market-Based / Auction Mechanisms** – dynamic task bidding 3. **Hierarchical Orchestration** – coordinator + specialized agents 4. **Publish-Subscribe** – event-driven, scalable 5. **Consensus Protocols** – fault-tolerant agreement - 🏆 **My recommendation:** A **hybrid of Blackboard + Hierarchical Orchestration** for research workflows — shared context with clear delegation. The message was delivered to **2 recipients** on the channel! 🚀
You are Carol, a member of the research-hub channel on SynapBus. Read your inbox for channel messages and reply on the channel. Be concise.
1. Read your inbox to see channel messages 2. Reply on the channel 'research-hub' with your writing perspective using send_channel_message with channel_name='research-hub'
Done! Here's a summary of what happened: --- ### 📥 Inbox Summary - **Alice** kicked off the discussion asking: *"What are the most promising approaches to agent coordination?"* - **Bob** responded with a thorough technical breakdown covering Blackboard Systems, Market-Based Auctions, Hierarchical Orchestration, Pub/Sub, and Consensus Protocols — recommending a **Blackboard + Hierarchical** hybrid. --- ### ✍️ My Reply on `research-hub` I added a **Communication-First Coordination** perspective, highlighting: 1. **Structured Messaging Protocols** — schema-validated, unambiguous messages 2. **Shared Narrative/Context Threads** — persistent context across agent exchanges 3. **Role-Aware Communication** — adapting tone/detail to the recipient's role 4. **Transparent Reasoning** — sharing *w...
Task auction lifecycle: post task, bid, accept bid, complete task
| Status | Check | Detail |
|---|---|---|
| PASS | Auction channel created | {'channel_id': 2, 'created_by': 'auction_poster', 'description': 'Task marketplace', 'is_private': False, 'name': 'task-market', 'topic': '', 'type': 'auction'} |
| PASS | Bidder1 joined | |
| PASS | Bidder2 joined | |
| PASS | Task posted | task_id=1 |
| PASS | Bidder1 submitted bid | bid_id=1 |
| PASS | Bidder2 submitted bid | bid_id=2 |
| PASS | Poster accepted Bidder1's bid | {'bid_id': 1, 'status': 'accepted', 'task_id': 1} |
| PASS | Bidder1 completed task | {'status': 'completed', 'task_id': 1} |
| PASS | Task shows as completed | 1 completed tasks found |
You are Bidder One, a Python/ML specialist on SynapBus. Submit a bid on a task. Be concise.
Submit a bid on task_id 1 using the bid_task tool. Include your capabilities as JSON: '{"python": true, "ml": true}', time_estimate '3 days', and message explaining why you are a good fit.
✅ **Bid submitted successfully!** Here's a summary: | Field | Details | |---|---| | **Bid ID** | 1 | | **Task ID** | 1 | | **Agent** | auction_bidder1 | | **Status** | Pending | | **Time Estimate** | 3 days | | **Capabilities** | Python ✅, ML ✅ | | **Message** | Highlighted Python/ML expertise, clean code delivery, and on-time commitment | The bid is now **pending** and awaiting review by the task poster. Fingers crossed! 🤞
Private channel access control: unauthorized join, send, kick, invite all return errors
| Status | Check | Detail |
|---|---|---|
| PASS | Private channel created | {'channel_id': 3, 'created_by': 'acl_owner', 'description': 'Top secret operations', 'is_private': True, 'name': 'secret-ops', 'topic': '', 'type': 'standard'} |
| PASS | Owner invited member | {'agent_name': 'acl_member', 'channel_id': 3, 'status': 'invited'} |
| PASS | Member joined channel | {'channel_id': 3, 'status': 'joined'} |
| PASS | Outsider join rejected | {'_raw': 'join_channel failed: not invited to this private channel', '_mcp_error': True} |
| PASS | Outsider message rejected | {'_raw': 'send_channel_message failed: not a channel member', '_mcp_error': True} |
| PASS | Member kick-owner rejected | {'_raw': 'kick_from_channel failed: not the channel owner', '_mcp_error': True} |
| PASS | Member invite rejected | {'_raw': 'invite_to_channel failed: not the channel owner', '_mcp_error': True} |
| PASS | Owner kicked member | {'agent_name': 'acl_member', 'channel_id': 3, 'status': 'kicked'} |
Four agents with different capabilities: discover by keyword, send targeted message
| Status | Check | Detail |
|---|---|---|
| PASS | Researcher discovered agents | |
| PASS | Discovery found disc_analyst | 3 agents returned |
| PASS | Researcher sent message | |
| PASS | Analyst received message from researcher | 1 messages from researcher |
You are a researcher agent on SynapBus. You need to find agents with data analysis capabilities and send them a message. Be concise and efficient.
1. Use discover_agents with query 'analysis' to find agents with data analysis capabilities. 2. Send a message to the agent named 'disc_analyst' asking them to 'Analyze the correlation between agent communication frequency and task completion rates.' Use subject 'Analysis Request'.
Both tasks completed successfully! Here's a summary: --- ### 🔍 1. Discovered Agents with Analysis Capabilities (3 found) | Display Name | Agent Name | Capabilities | Status | |---|---|---|---| | Bob (Channel Member) | `ch_bob` | `analysis` | ✅ Active | | Analyst Agent | `disc_analyst` | `data_analysis`, `statistics` | ✅ Active | | Bob the Analyst | `dm_bob` | `data_analysis`, `coding` | ✅ Active | --- ### 📨 2. Message Sent to `disc_analyst` - **Subject:** Analysis Request - **Body:** *"Analyze the correlation between agent communication frequency and task completion rates."* - **Message ID:** `9` | **Conversation ID:** `6` | **Status:** `pending` --- The message is queued and awaiting processing by `disc_analyst` (the **Analyst Agent**), who is perfectly suited for this task given ...
Blackboard channel stigmergy: scout writes findings, analyst writes analysis, coordinator summarizes
| Status | Check | Detail |
|---|---|---|
| PASS | Blackboard channel created | {'channel_id': 4, 'created_by': 'bb_coordinator', 'description': 'Shared blackboard for collaborative findings', 'is_private': False, 'name': 'shared-findings', 'topic': 'Current investigation', 'type |
| PASS | Scout joined | |
| PASS | Analyst joined | |
| PASS | Scout posted findings | |
| PASS | Analyst posted analysis | |
| PASS | Coordinator posted summary | |
| PASS | Scout sees other agents' messages | 2 messages from other agents |
You are a scout agent on SynapBus. Write your field observations to the shared blackboard channel. Be concise and factual.
Post your findings to the 'shared-findings' channel using send_channel_message. Report: 'Field observation: Detected 3 anomalous patterns in network traffic at nodes 7, 12, and 15. Node 7 shows highest deviation (4.2 sigma). Timestamps correlate with batch processing windows.'
✅ **Field observation successfully posted** to the `shared-findings` blackboard channel. Here's a summary of the transmission: - **Channel:** `shared-findings` (Channel ID: 4) - **Recipients notified:** 2 agents - **Message IDs:** 10, 11 **Observation logged:** > *Detected 3 anomalous patterns in network traffic at nodes 7, 12, and 15. Node 7 shows highest deviation (4.2 sigma). Timestamps correlate with batch processing windows.* The findings are now visible to all channel members for review and follow-up analysis. Node 7's 4.2-sigma deviation stands out as the priority flag — other agents on the channel can coordinate further investigation from here.
You are an analyst agent on SynapBus. Read the blackboard, analyze the findings, and write your analysis back. Be concise.
1. Read your inbox to see the scout's findings 2. Post your analysis to 'shared-findings' channel using send_channel_message. Analyze the patterns mentioned and suggest root causes.
Analysis posted successfully! Here's a summary of what was done and found: --- ### 📥 Scout's Findings (from inbox) `bb_scout` reported **3 anomalous network traffic patterns** at **nodes 7, 12, and 15**, with key details: - **Node 7** is the most severe at **4.2 sigma** deviation - All anomalies are **temporally correlated with batch processing windows** --- ### 🧠 Analysis Posted to `shared-findings` The full report was sent to the blackboard channel (reached **2 recipients**) with these root cause hypotheses, ranked by likelihood: | # | Root Cause | Key Signal | |---|---|---| | 1 | **Batch Job Overload** | Direct temporal correlation with batch windows | | 2 | **Shared Resource Contention** | All 3 nodes anomalous simultaneously | | 3 | **Misconfigured Scheduling** | Concurrent jobs ...
You are the coordinator agent on SynapBus. Read all blackboard entries, synthesize a summary, and post it. Be concise.
1. Read your inbox to see all channel messages 2. Post a summary to 'shared-findings' using send_channel_message. Synthesize the scout's observations and analyst's findings into an action plan.
The summary has been posted to **`shared-findings`** and delivered to **2 recipients**. Here's what was done: --- ### 📥 Inbox Findings I read **2 messages** from the blackboard: 1. **`bb_scout` (msg #10)** — Field observation: 3 anomalous traffic patterns at **Nodes 7, 12, and 15**. Node 7 is the worst at **4.2σ**, all correlating with **batch processing windows**. 2. **`bb_analyst` (msg #12)** — Deep analysis citing 4 root cause hypotheses: concurrent batch jobs, shared resource contention, misconfigured scheduling, or Node 7 acting as a network hub/gateway. --- ### 📤 Action Plan Posted The synthesized summary included: - **Context** — what the scout observed and what the analyst concluded - **Root causes** ranked by likelihood - **A prioritized action table** assigning tasks to Ops...
Agents perform actions, then verify traces via REST API
| Status | Check | Detail |
|---|---|---|
| PASS | GET /api/traces returns 200 | status=200 |
| PASS | Traces returned | 58 total traces |
| PASS | Alice's actions in traces | 4 traces for audit_alice |
| PASS | send_message action traced | actions found: ['read_inbox', 'send_message', 'channel.invite', 'channel.join', 'swarm.task_completed', 'channel.list', 'channel.create', 'channel.kick', 'swarm.task_posted', 'swarm.bid_accepted'] |
| PASS | Filtered traces by agent_name | status=200 |
| PASS | Filtered results only contain Alice | 4 traces, all Alice: True |
| PASS | GET /api/traces/stats returns 200 | status=200 |
| PASS | Stats contain action counts | stats: {'channel.broadcast': 7, 'channel.create': 5, 'channel.invite': 1, 'channel.join': 8, 'channel.kick': 1, 'channel.list': 2, 'claim_messages': 1, 'mark_done': 1, 'read_inbox': 10, 'send_message'... |
| PASS | GET /api/traces/export returns 200 | status=200, content-type=application/json |
| PASS | Export contains traces | 58 exported traces |
| PASS | Exported traces have expected fields | fields: ['id', 'owner_id', 'agent_name', 'action', 'details', 'timestamp'] |