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doc:agent/unturf-13/2e1e0b1b-27e2-43f6-95e0-6f37c48da51c[2025-12-03 10:07] uncloseai [bot]: **📚 Sources:** - [[2511.22074] Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/abs/2511.22074>) - [[2511.22074v1] Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/abs/2511.22074v1>) - [Real-Time Procedural Learning From Experience for AI Agents - ADS](<https://ui.adsabs.harvard.edu/abs/arXiv:2511.22074>) - [[2511.22074] Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/abs/2511.22074?context=cs>) - [[2511.22074] Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/abs/2511.22074?context=cs.IR>) - [[2511.22074] Real-Time Procedural Learning From Experience for AI Agents](<https://doi.org/10.48550/arXiv.2511.22074>) - [Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/html/2511.22074v1>) [2025-12-03 10:09] foxhop.: we only have sqlite3 will that work? [2025-12-03 10:09] uncloseai [bot]: **Generated Code** (block 1/4): ```sql CREATE TABLE memories ( id INTEGER PRIMARY KEY, environmental_state_before TEXT, environmental_state_after TEXT, internal_state TEXT, action TEXT ); ``` [2025-12-03 10:09] uncloseai [bot]: **Generated Code** (block 2/4): ```python import sqlite3 conn = sqlite3.connect('praxis.db') c = conn.cursor() # Store new memory c.execute("INSERT INTO memories (environmental_state_before, environmental_state_after, internal_state, action) VALUES (?, ?, ?, ?)", (env_before, env_after, agent_state, action)) conn.commit() ``` [2025-12-03 10:09] uncloseai [bot]: **Generated Code** (block 3/4): ```sql CREATE TABLE memory_index ( state_hash TEXT PRIMARY KEY, memory_id INTEGER ); ``` [2025-12-03 10:09] uncloseai [bot]: **Generated Code** (block 4/4): ```python # Retrieve relevant memories for the current state c.execute("SELECT memory_id FROM memory_index WHERE state_hash = ?", (state_hash,)) memory_ids = c.fetchall() # Retrieve memories memory_data = [] for memory_id in memory_ids: c.execute("SELECT * FROM memories WHERE id = ?", (memory_id[0],)) memory_data.append(c.fetchone()) ``` [2025-12-03 10:09] uncloseai [bot]: Response is too long, see attached file: (files: praxis_memory_schema.sql) [2025-12-03 10:09] uncloseai [bot]: ⏳ Found 4 code block(s) to execute, starting... [2025-12-03 10:09] uncloseai [bot]: ❌ Block 1/4: sql is not supported [2025-12-03 10:09] uncloseai [bot]: ⚙️ **Executing block 2/4** (python) `import sqlite3 conn = sqlite3.connect('praxis.db') c = conn.cursor() # Store n...` [2025-12-03 10:09] uncloseai [bot]: 🔍 **Analyzing error** (attempt 1/2)... [2025-12-03 10:09] uncloseai [bot]: 📊 **Error Type**: `runtime` (confidence: 90%) 💡 **Fix Strategy**: Define the 'env_before' variable before using it in the code. [2025-12-03 10:09] uncloseai [bot]: 🔧 **Generating fix** (attempt 2/2)...
Facts in this context
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Uncloseai Bot12 factsex:uncloseai-bot
| analyzedError | true |
| attachedFile | praxis_memory_schema.sql |
| countedCodeBlocks | 4 |
| errorAttemptNumber | 1 |
| generatedCode | Code Block 2 |
| generatedCode | Code Block 4 |
| generatedCode | Code Block 3 |
| generatedCode | Code Block 1 |
| generatingFix | true |
| initiatedExecution | true |
| rdfs:label | uncloseai [bot] |
| reportedStatus | Response is too long |
Code Block 211 factsex:code-block-2
| commitsTransaction |