mirror of
https://github.com/NousResearch/hermes-agent.git
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0aa31cd3cb
Add centralized call_llm() and async_call_llm() functions that own the full LLM request lifecycle: 1. Resolve provider + model from task config or explicit args 2. Get or create a cached client for that provider 3. Format request args (max_tokens handling, provider extra_body) 4. Make the API call with max_tokens/max_completion_tokens retry 5. Return the response Config: expanded auxiliary section with provider:model slots for all tasks (compression, vision, web_extract, session_search, skills_hub, mcp, flush_memories). Config version bumped to 7. Migrated all auxiliary consumers: - context_compressor.py: uses call_llm(task='compression') - vision_tools.py: uses async_call_llm(task='vision') - web_tools.py: uses async_call_llm(task='web_extract') - session_search_tool.py: uses async_call_llm(task='session_search') - browser_tool.py: uses call_llm(task='vision'/'web_extract') - mcp_tool.py: uses call_llm(task='mcp') - skills_guard.py: uses call_llm(provider='openrouter') - run_agent.py flush_memories: uses call_llm(task='flush_memories') Tests updated for context_compressor and MCP tool. Some test mocks still need updating (15 remaining failures from mock pattern changes, 2 pre-existing). |
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| .. | ||
| __init__.py | ||
| auth.py | ||
| banner.py | ||
| callbacks.py | ||
| clipboard.py | ||
| codex_models.py | ||
| colors.py | ||
| commands.py | ||
| config.py | ||
| cron.py | ||
| curses_ui.py | ||
| doctor.py | ||
| gateway.py | ||
| main.py | ||
| models.py | ||
| pairing.py | ||
| runtime_provider.py | ||
| setup.py | ||
| skills_config.py | ||
| skills_hub.py | ||
| skin_engine.py | ||
| status.py | ||
| tools_config.py | ||
| uninstall.py | ||