0a966d8476
The previous LLMClient used raw httpx + Claude Messages API (/v1/messages, x-api-key, Anthropic SSE event types). Incompatible with DeepSeek. Rewrite LLMClient.__init__/chat/close to use openai.AsyncOpenAI: - /v1/chat/completions endpoint, OpenAI message format - Bearer auth, native SDK error types - Stream chunks via async for + chunk.choices[0].delta.content Tool calling protocol (ReAct text-based tags) and all surrounding helpers (_apply_progressive_decay, _fold_old_messages, _partition_tool_calls, tool_call_loop, etc.) are unchanged — endpoint-agnostic by design. New optional config params surfaced to config.yaml.agent: - reasoning_effort: "high" | "medium" | "low" — DeepSeek/o1-style depth - thinking_enabled: bool — DeepSeek extra_body.thinking switch main.py and regenerate_report.py pass these through to LLMClient. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
25 lines
533 B
TOML
25 lines
533 B
TOML
[project]
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name = "masforensics"
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version = "0.1.0"
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description = "Multi-Agent System for Digital Forensics"
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requires-python = ">=3.14"
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dependencies = [
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"httpx[socks]>=0.28.1",
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"openai>=2.36.0",
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"pyyaml",
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"regipy>=6.2.1",
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]
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[project.scripts]
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masforensics = "main:main"
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[tool.setuptools]
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py-modules = ["main", "llm_client", "evidence_graph", "base_agent", "orchestrator", "tool_registry", "agent_factory"]
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packages = ["agents", "tools"]
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[dependency-groups]
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dev = [
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"pytest>=9.0.2",
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"pytest-asyncio>=1.3.0",
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]
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