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CallMeDaniel
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neuralcad
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neuralcad / agents
77.8 kB
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  • 4 contributors
History: 61 commits
Daniel Tu
feat: constrain agent questions to user-friendly abstraction level (#13)
afd1605 unverified about 1 month ago
  • __init__.py
    0 Bytes
    refactor: reorganize codebase into core/, server/, agents/ packages about 1 month ago
  • agent_flow.py
    23.9 kB
    feat: constrain agent questions to user-friendly abstraction level (#13) about 1 month ago
  • base.py
    1.03 kB
    feat: add model selector dropdown to UI about 1 month ago
  • crew_orchestrator.py
    12.6 kB
    feat: add model selector dropdown to UI about 1 month ago
  • definitions.py
    1.22 kB
    refactor: convert AgentDef from dataclass to Pydantic BaseModel about 1 month ago
  • design_state.py
    12.1 kB
    feat: constrain agent questions to user-friendly abstraction level (#13) about 1 month ago
  • gap_analyzer.py
    6.9 kB
    feat: constrain agent questions to user-friendly abstraction level (#13) about 1 month ago
  • llm_adapter.py
    1.24 kB
    feat: complete LLM adapter — enable function calling, add vision support about 1 month ago
  • orchestrator.py
    11 kB
    feat: add model selector dropdown to UI about 1 month ago
  • prompts.py
    605 Bytes
    refactor: extract derive_part_name, remove dead code from prompts.py about 1 month ago
  • tools.py
    7.15 kB
    refactor: type ContextVar design state as DesignState about 1 month ago