Replaces wrong-direction llm_api.py (which served OpenAI endpoints) with llm_client.py -- a client that calls supplier LLM APIs. New module: llm_client.py - llm_chat(messages, model, temperature, ...) -> OpenAI response dict - llm_chat_stream(messages, ...) -> async generator of SSE chunks - llm_simple(prompt, system) -> plain text response - llm_list_models() -> list available models from provider - llm_get_config() -> show current config (key masked) - Supports provider presets: openai, dashscope, deepseek, siliconflow - Retry with exponential backoff (3 attempts) - 429 rate limit handling with Retry-After - Structured logging via appPublic.log Model changes (harnessed_agent_config): - Add llm_provider (preset name: dashscope/openai/deepseek/siliconflow) - Add top_p field - llm_service_url defaults to DashScope compatible endpoint Other: - Remove wrong-direction /v1/ endpoints - Fix pyproject.toml deps: only sqlor + bricks_for_python - Update init/data.json seed data with LLM config fields - Update CRUD view with llm_provider dropdown
23 lines
493 B
TOML
23 lines
493 B
TOML
[build-system]
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requires = ["setuptools>=61", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "harnessed-agent"
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version = "1.0.0"
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description = "Hermes Agent module - multi-user AI agent with memory, skills, workflows, and remote skill deployment"
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requires-python = ">=3.10"
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dependencies = [
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"sqlor",
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"bricks_for_python",
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]
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[project.optional-dependencies]
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dev = [
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"pytest",
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"pytest-asyncio",
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]
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[tool.setuptools.packages.find]
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include = ["harnessed_agent*"]
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