2alfandJoseph Magly
8ccea7c82a
* feat(llm): add Hugging Face provider + selectable local Claude Code models Adds two operator-selectable LLM backbones, wired through both the backend and the War Room UI. Hugging Face (OpenAI-compatible Inference Providers router): - New `huggingface` provider reusing OpenAIAdapter (router.huggingface.co/v1) - HF_TOKEN / HUGGINGFACE_API_KEY / HUGGINGFACE_TOKEN env resolution, config, setup wizard, CLI, factory, best-available, and .env.example - Settings key card + 4 inference models in the picker + direct client routing - Tests: src/__tests__/huggingface-provider.test.ts Local Claude from Claude Code: - Explicit "active backbone" pin in Settings so a connected agent (Claude Code) can be chosen; a pin outranks stored API keys in both the client resolver and mission dispatch - Claude Code model picker (Account default / Opus / Sonnet / Haiku), threaded to the CLI's --model via an "agentId::model" encoding parsed by LocalAgentAdapter; requireLiveLocalAgent strips the suffix for connected-agent validation * fix(llm): address PR #127 review — self-contained keyless path + centralized pin/model routing Finding 1 — keyless mission path was not self-contained: - Add the `local-agent` case to ConfigManager.getLLMConfig so provider:'local-agent' resolves (keyless, agent id — optionally "agentId::model" — in `model`) instead of hitting the default "Unknown provider" throw. Finding 2 — inconsistent pin/model routing across dispatch surfaces: - Centralize backend agent resolution in window.t3mpDispatchAgent (single source of truth). It honors an explicit pin OVER a stored API key and encodes the picked local model as "agentId::model" so it is never dropped. - Route all three surfaces through it: mission dispatch, General (getGeneralConfig), and Admiral (_admBackbone). Previously General/Admiral only picked an agent when no key existed and sent the bare agent id, so a stored key overrode the pin and the selected Claude model was lost. Tests: - getLLMConfig('local-agent') regression coverage (self-contained keyless path) - LocalAgentAdapter "agentId::model" passthrough reaches the CLI --model flag - t3mpDispatchAgent behavior: pin>key precedence, model encoding, fallbacks (evaluated from the shipped docs/index.html) - centralization invariant: mission/General/Admiral all route through t3mpDispatchAgent - update the Op-Admiral keyless-routing static test to the centralized resolver --------- Co-authored-by: Joseph Magly <1159087+jmagly@users.noreply.github.com>
36 lines
1.6 KiB
Bash
36 lines
1.6 KiB
Bash
# T3MP3ST environment — copy to `.env` and fill in. NEVER commit your real .env.
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# At least one LLM provider key is required (OpenRouter is the default backbone).
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# ── LLM providers (set the one(s) you use) ──
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OPENROUTER_API_KEY=sk-or-v1-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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VENICE_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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ANTHROPIC_API_KEY=sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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# Hugging Face — open models via the OpenAI-compatible Inference Providers router.
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# HF_TOKEN is canonical; HUGGINGFACE_API_KEY / HUGGINGFACE_TOKEN also work.
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HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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GROQ_API_KEY=
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TOGETHER_API_KEY=
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REPLICATE_API_TOKEN=
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# ── Target authentication (both values are required) ──
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# Exact origin that may receive the configured headers (scheme + host + optional port).
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# TEMPEST_TARGET_ORIGIN=https://target.example
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# JSON object of headers injected into HTTP requests to that exact origin.
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# Explicit per-request headers override these defaults case-insensitively.
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# Bearer token: TEMPEST_TARGET_HEADERS={"Authorization":"Bearer eyJhbGc..."}
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# Cookie: TEMPEST_TARGET_HEADERS={"Cookie":"session=abc123"}
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# Multiple: TEMPEST_TARGET_HEADERS={"Authorization":"Bearer token","X-Tenant":"acme"}
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# TEMPEST_TARGET_HEADERS=
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# ── GitHub (xbow-bench challenge fetch / gh operations) ──
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GITHUB_TOKEN=
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# ── optional: default backbone overrides ──
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# LLM_PROVIDER=openrouter
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# LLM_MODEL=claude-opus-4-8
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# Optional: Venice uncensored inference (OpenAI-compatible). https://venice.ai
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VENICE_API_KEY=
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