[logseq-plugin-git:commit] 2025-12-27T19:07:25.270Z

2025-12-27 20:08:10 +01:00
parent 1c76754387
commit a578313353
624 changed files with 11511 additions and 4361 deletions
@@ -7,78 +7,60 @@
 		  date:: [[04-07-2025]] - 11:44
 		  duration::
 		-
- ### Notes sul deliverable D2.1
-	- Da considerare anche il prompt?
-	- {{renderer :mermaid_68668a24-ce43-472e-b787-a53b895f7c75, 3}}
-	  collapsed:: true
-		- ```mermaid
-		  classDiagram
-		      class Agent {
-		          id
-		          name
-		          version
-		          owner
-		      }
-		  
-		      class Capability {
-		          domain
-		          taskType
-		          supportedLanguages
-		          inputFormats
-		          outputFormats
-		      }
-		  
-		      class PerformanceKPI {
-		          accuracy
-		          latencyMs
-		          resourceConsumption
-		          robustnessMetrics
-		      }
-		  
-		      class Governance {
-		          license
-		          dataResidency
-		          GDPRCompliance
-		          auditTrailAvailable
-		      }
-		  
-		      class FairnessEthics {
-		          biasDetected
-		          fairnessConstraints
-		          explanationCapabilities
-		      }
-		  
-		      class RuntimeEnvironment {
-		          runtime
-		          requiredLibraries
-		          hardwareAcceleration
-		      }
-		  
-		      class Provenance {
-		          trainingDataSources
-		          modelLineage
-		          lastUpdated
-		      }
-		  
-		      class ContactInfo {
-		          maintainerEmail
-		          documentationUrl
-		      }
-		  
-		      class AgentRepository {
-		          <<service>>
-		      }
-		  
-		      Agent --> Capability : has
-		      Agent --> PerformanceKPI : provides
-		      Agent --> Governance
-		      Agent --> FairnessEthics
-		      Agent --> RuntimeEnvironment
-		      Agent --> Provenance
-		      Agent --> ContactInfo
-		      AgentRepository --> Agent : manages
-		  
-		  
-		  ```
-		- Agents should be also marked if they keep information or not for IP purposes.
-		-
+- ### [[Deliverable D2.1]]
+	- What we're envisioning is that the protocol exposes the information about the agents in a given agent server, which then can be easily consumed by your repository (for indexing). This is the same approach as A2A agent cards and as MCP tool descriptions. A single agent server only lists its own agents: the MOSAICO repository is the one that actually indexes all the agents available across all the servers.
+	- I think this is needed, because I cannot imagine people going to a web interface and filling in form field after form field with all this information. A2A precisely does this so that they could do a type of web crawler that would go through "well-known URIs" ([http://host/.well-known/agent.json](http://host/.well-known/agent.json)) to find agents at will. In fact, I suspect your repository may need to do exactly this.
+	- ✉: [Web Link](https://outlook.office365.com/owa/?ItemID=AAMkADM1NGNiNjk0LTY0ZGUtNDgzOC04MDM5LWNhODNkYWNjNjU4YwBGAAAAAACT6qp78kRgRKuUMBdWEga%2FBwCOhWlC8F7PRKzlljZYZYQmAAAAAAEMAACOhWlC8F7PRKzlljZYZYQmAAhIg5c2AAA%3D&exvsurl=1&viewmodel=ReadMessageItem)
+	-
+- ### [[MENTORING/TESISTI]]
+  collapsed:: true
+	- **Marco Giarrusso**
+	- **Mariama Celi S. de Oliveira**
+		- Rehearsal presentation
+			- what about adding an explanatory workflow to show an orchestration of agents with Dify or AutoGPT?
+		- Collaborative optimization task--> explain
+		- Just motivate the choices for the configurations slide 8
+		- Slide 9
+			- too small
+		- Slide 13
+			- What do you mean with Each pipeline runs only once?
+			-
+	- **Motunrayo Ibiyo**
+		- Rehearsal presentation
+		  collapsed:: true
+			- Mention MOSAICO at the beginning where we are studying the usage of LLM-based multi agent systems to support software engineering tasks
+			- Very fast, reduce the content and speak slowly. Too many slides!!! You should cut half of them!!!
+			- It's easy to get lost in the details
+			- Slides 4
+				- What are the limitations of existing approaches?
+			- Slide 6
+				- with-out (typo)
+			- Slide 7
+				- Put the updated reference
+			- Slide 8
+				- highlight the different components while presenting (one by one)
+			- Slide 10
+				- ![image.png](../assets/image_1752844038326_0.png)
+				- what does it mean?
+			- Slide 11
+				- Many typos
+					- a file in the package is...
+			- Slide 12
+				- ![image.png](../assets/image_1752844166908_0.png)
+					- too many things
+			- Slide 14
+				- ![image.png](../assets/image_1752844268908_0.png)
+				- It's too much,
+			- It's more beneficial presenting some explanatory examples instead of all these numbers, in line with what you have with slide 16.
+			-
+	- TOOLS evaluated
+		- Qualitative + Quantitative
+			- AutoGen
+			- AutoGPT
+			- Dify
+			- SemanticKernel
+			- LlamaIndex
+			- Heystack
+		- Qualitative
+			- Those from Motunrayoi
+			-