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Fix history from long term memory #644

Merged
merged 2 commits into from
Jan 17, 2025
Merged

Fix history from long term memory #644

merged 2 commits into from
Jan 17, 2025

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kongzii
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@kongzii kongzii commented Jan 17, 2025

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coderabbitai bot commented Jan 17, 2025

Walkthrough

The pull request modifies the initialization process for a microchain agent by introducing a new initialise_agent method in the DeployableMicrochainAgentAbstract class. This method is responsible for resetting the agent and building its initial messages, with the ability to inject past chat history. The run_general_agent method now calls initialise_agent before starting the main working loop, ensuring the agent is properly initialized. The changes simplify the agent construction logic and modify how historical context is incorporated into the agent's initialization.

Changes

File Change Summary
prediction_market_agent/agents/microchain_agent/deploy.py - Added initialise_agent method to DeployableMicrochainAgentAbstract class
- Modified run_general_agent to call initialise_agent
- Updated run method to always set resume=True
prediction_market_agent/agents/microchain_agent/microchain_agent.py - Removed import_actions_from_memory parameter from build_agent
- Removed import of check_not_none function
- Deleted code block for importing actions from memory

Sequence Diagram

sequenceDiagram
    participant Agent
    participant LongTermMemory
    participant InitMethod as initialise_agent()

    Agent->>InitMethod: Call initialise_agent()
    InitMethod-->>LongTermMemory: Retrieve past messages
    InitMethod->>Agent: Reset and build initial messages
    InitMethod->>Agent: Inject filtered historical context
    Agent->>Agent: Begin main working loop
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Actionable comments posted: 0

🧹 Nitpick comments (1)
prediction_market_agent/agents/microchain_agent/deploy.py (1)

113-129: Optimize history injection for better performance.

The history injection logic can be made more efficient by combining the filtering and reversal operations.

-            messages_to_insert = [
-                m.metadata_dict
-                for m in latest_saved_memories[
-                    ::-1
-                ]  # Revert the list to have the oldest messages first, as they were in the history.
-                if check_not_none(m.metadata_dict)["role"]
-                != "system"  # Do not include system message as that one is automatically in the beginning of the history.
-            ]
+            messages_to_insert = [
+                m.metadata_dict
+                for m in reversed(latest_saved_memories)
+                if check_not_none(m.metadata_dict)["role"] != "system"
+            ]
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📥 Commits

Reviewing files that changed from the base of the PR and between 43e22f4 and 7650ddd.

📒 Files selected for processing (2)
  • prediction_market_agent/agents/microchain_agent/deploy.py (3 hunks)
  • prediction_market_agent/agents/microchain_agent/microchain_agent.py (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: pytest-docker
  • GitHub Check: mypy
🔇 Additional comments (4)
prediction_market_agent/agents/microchain_agent/microchain_agent.py (1)

16-16: LGTM! Import cleanup aligns with code reorganization.

The removal of the unused import reflects the movement of the memory import logic to deploy.py.

prediction_market_agent/agents/microchain_agent/deploy.py (3)

109-112: LGTM! Clean initialization logic.

The method properly encapsulates the agent initialization steps, improving code organization.


141-142: LGTM! Proper initialization sequence.

The changes ensure that:

  1. Agent is properly initialized before the main loop
  2. History is preserved by forcing resume=True in agent.run

Also applies to: 156-157


Line range hint 34-35: LGTM! Class structure maintains backward compatibility.

The class structure properly supports the new initialization flow while preserving the existing configuration options.

@kongzii kongzii merged commit c78d4da into main Jan 17, 2025
10 checks passed
@kongzii kongzii deleted the peter/fixhistory branch January 17, 2025 12:41
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