{"id":117466,"date":"2026-10-24T23:24:24","date_gmt":"2026-10-24T15:24:24","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/117466.html"},"modified":"2026-10-24T23:24:24","modified_gmt":"2026-10-24T15:24:24","slug":"%e6%9c%ac%e6%9c%ba%e4%ba%91%e5%8e%82%e5%95%86-llm-key-%e7%bb%8f-nanomesh-p2p-%e5%85%b1%e4%ba%ab%e6%96%b9%e6%a1%88","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/117466.html","title":{"rendered":"\u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848"},"content":{"rendered":"

\u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848<\/h2>\n

\u4e00\u53e5\u8bdd：\u4f60\u5728\u672c\u673a\u8d2d\u4e70\u7684\u5927\u6a21\u578b API Key（OpenAI \/ Anthropic \/ DeepSeek \u2026）\u53ea\u4fdd\u5b58\u5728\u672c\u673a；
\n\u901a\u8fc7 nanomesh \u6ce8\u518c\u4e3a\u53ef\u53d1\u73b0\u7684 model.llm \u80fd\u529b，\u5e76\u5bf9\u5916\u63d0\u4f9b model.infer \/ model.stream；
\n\u5176\u4ed6\u7528\u6237\u7535\u8111\u4e0a\u7684 Codex\u3001Claude Code\u3001Qoder\u3001WorkBuddy \u7b49\u667a\u80fd\u4f53，\u53ea\u9700\u628a
\nOPENAI_BASE_URL \u6307\u5230\u672c\u673a nm-llm-proxy，\u5373\u53ef\u7ecf P2P \u4f7f\u7528\u4f60\u8fd9\u8fb9\u7684\u6a21\u578b\u80fd\u529b\u2014\u2014Key \u6c38\u4e0d\u79bb\u5f00\u4f60\u7684\u7535\u8111\u3002<\/p>\n

\u72b6\u6001：\u8349\u6848 v1（2026-10-24）\u3002\u4e0e COMPUTE_MODEL_P2P_DESIGN.md（\u901a\u7528\u7b97\u529b\/\u6a21\u578b\u5b9e\u4f53）\u3001
\nCMX_AGENT_MERGE_DESIGN.md（\u5185\u7f6e Agent \u7684 P2pModelSeam）\u5bf9\u9f50，\u672c\u6587\u4ef6\u805a\u7126\u300c\u4e91 Key \u4ee3\u7406 + \u667a\u80fd\u4f53 HTTP \u517c\u5bb9\u63a5\u5165\u300d\u3002<\/p>\n

\n

0. \u76ee\u6807 \/ \u975e\u76ee\u6807<\/h3>\n

\u76ee\u6807<\/h4>\n
  • \u63d0\u4f9b\u65b9（\u4f60）：\u914d\u7f6e\u4e91\u5382\u5546 Key \u2192 \u542f\u52a8\u5b88\u62a4\u8fdb\u7a0b \u2192 \u81ea\u52a8\u5728\u8054\u90a6\u76ee\u5f55\u6ce8\u518c model.llm\u3002<\/li>\n
  • \u6d88\u8d39\u65b9（\u8fdc\u7aef\u7528\u6237）：\u5b89\u88c5\u8f7b\u91cf nm-llm-proxy，\u667a\u80fd\u4f53\u4ecd\u7528\u719f\u6089\u7684 OpenAI \u517c\u5bb9 HTTP，\u65e0\u9700\u6539\u667a\u80fd\u4f53\u6e90\u7801\u3002<\/li>\n
  • \u6388\u6743：\u8c01\u80fd\u7528\u3001\u7528\u591a\u5c11，\u7531\u63d0\u4f9b\u65b9\u7528 Grant + \u914d\u989d\u63a7\u5236（\u53ef\u6309\u597d\u53cb\u516c\u94a5\u3001\u7fa4\u3001\u8fc7\u671f\u65f6\u95f4）\u3002<\/li>\n
  • \u5b89\u5168\u5e95\u7ebf：\u4e91\u5382\u5546 Key \u53ea\u5b58\u5728\u63d0\u4f9b\u65b9\u4e3b\u673a（\u7cfb\u7edf\u94a5\u5319\u4e32 \/ \u52a0\u5bc6\u6587\u4ef6）；\u6d88\u8d39\u65b9\u53ea\u6301\u6709\u672c\u5730 proxy token \u4e0e nanomesh Grant\u3002<\/li>\n

    \u975e\u76ee\u6807（\u672c\u671f\u4e0d\u505a）<\/h4>\n
      \n
    • \u4e0d\u505a\u94fe\u4e0a\u7ed3\u7b97 \/ \u53bb\u4fe1\u4efb\u8ba1\u8d39（\u5148\u505a\u8ba1\u91cf\u4e0e\u914d\u989d；\u8ba1\u8d39\u5c42\u540e\u63a5 PLAN_E）\u3002<\/li>\n
    • \u4e0d\u505a\u5bf9\u63d0\u4f9b\u65b9\u4fdd\u5bc6\u7684 prompt（\u63d0\u4f9b\u65b9\u5fc5\u987b\u89c1\u660e\u6587\u624d\u80fd\u8f6c\u53d1\u4e91 API；TEE \u5c5e\u540e\u7eed）\u3002<\/li>\n
    • \u4e0d\u5f3a\u5236\u6240\u6709\u667a\u80fd\u4f53\u6539\u9020\u6210\u539f\u751f nm-client（\u5185\u7f6e Agent \u53ef\u8d70 P2pModelSeam；\u7b2c\u4e09\u65b9\u5de5\u5177\u8d70 HTTP proxy）\u3002<\/li>\n<\/ul>\n
      \n

      1. \u573a\u666f\u603b\u89c8<\/h3>\n

      \"\u672c\u673a\u4e91\u5382\u5546<\/p>\n

      \u89d2\u8272<\/p>\n\n\u89d2\u8272\u8dd1\u4ec0\u4e48\u6301\u6709\u4ec0\u4e48<\/tr>\n\n\n\n\n
      \u63d0\u4f9b\u65b9\u4e3b\u673a<\/td>\nnmd + nm-llm-gatewayd<\/td>\n\u4e91\u5382\u5546 API Key<\/td>\n<\/tr>\n
      \u6d88\u8d39\u65b9\u4e3b\u673a<\/td>\nnmd\/nm-client + nm-llm-proxy + Codex\/Claude Code\/\u2026<\/td>\n\u672c\u5730 proxy token + Grant<\/td>\n<\/tr>\n
      nanomesh \u7f51\u7edc<\/td>\niroh QUIC \/ relay.robot.link<\/td>\n\u76ee\u5f55\u3001\u6295\u9012\u3001\u9a8c\u7b7e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      2. \u4e3a\u4ec0\u4e48\u7528 nanomesh \u800c\u4e0d\u662f\u300c\u76f4\u63a5\u5206\u4eab Key\u300d<\/h3>\n\n\u65b9\u5f0f\u95ee\u9898<\/tr>\n\n\n\n\n
      \u628a Key \u660e\u6587\u53d1\u7ed9\u670b\u53cb<\/td>\nKey \u6cc4\u9732\u3001\u65e0\u6cd5\u540a\u9500\u5355\u7528\u6237\u3001\u65e0\u6cd5\u8ba1\u91cf<\/td>\n<\/tr>\n
      \u81ea\u5efa\u4e2d\u5fc3\u5316\u53cd\u5411\u4ee3\u7406<\/td>\n\u5355\u70b9\u3001\u9700\u516c\u7f51 IP\u3001\u4e0e\u53bb\u4e2d\u5fc3\u7f51\u683c\u5272\u88c2<\/td>\n<\/tr>\n
      \u672c\u65b9\u6848：P2P \u80fd\u529b\u5b9e\u4f53<\/td>\nKey \u4e0d\u51fa\u5883；\u6309\u516c\u94a5\u6388\u6743；\u76ee\u5f55\u53d1\u73b0；\u4e0e\u73b0\u6709 model.infer \/ Grant \u4e00\u81f4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u5df2\u6709\u539f\u8bed（\u89c1 COMPUTE_MODEL_P2P_DESIGN.md）：<\/p>\n

        \n
      • \u5b9e\u4f53 kind=model.llm + directory_query<\/li>\n
      • Client::call \/ Session::next_command + model.infer<\/li>\n
      • issue_grant \/ Command.grant<\/li>\n
      • OpenAI JSON \u8f7d\u8377\u7ea6\u5b9a：type_url = "openai.chat.v1"（nm-client::Session::infer \u5df2\u5b9e\u73b0）<\/li>\n<\/ul>\n
        \n

        3. \u7aef\u5230\u7aef\u8c03\u7528\u65f6\u5e8f<\/h3>\n

        \"\u4e00\u6b21\u63a8\u7406\u8c03\u7528\u7aef\u5230\u7aef\u65f6\u5e8f\"<\/p>\n

      • \u667a\u80fd\u4f53 \u2192 POST http:\/\/127.0.0.1:11434\/v1\/chat\/completions<\/li>\n
      • nm-llm-proxy：directory_query(kind_prefix="model.") \u2192 \u9009 provider \u2192 \u9644 Grant<\/li>\n
      • P2P Command{method: model.infer, params: openai.chat.v1}<\/li>\n
      • nm-llm-gatewayd \u6821\u9a8c Grant \/ \u914d\u989d \u2192 \u7528\u672c\u673a Key \u8c03\u4e91\u5382\u5546 HTTPS<\/li>\n
      • \u7ed3\u679c（\u6216\u6d41\u5f0f chunk）\u7ecf P2P \u56de\u4f20<\/li>\n
      • proxy \u6620\u5c04\u4e3a OpenAI HTTP \/ SSE \u8fd4\u56de\u667a\u80fd\u4f53<\/li>\n
        \n

        4. \u7ec4\u4ef6\u62c6\u5206<\/h3>\n

        \"\u7ec4\u4ef6\u4e0e\u804c\u8d23\u62c6\u5206\"<\/p>\n

        4.1 nm-llm-gatewayd（\u63d0\u4f9b\u65b9）<\/h4>\n

        \u65b0\u5efa bin\/nm-llm-gatewayd（\u6216\u5e76\u5165\u73b0\u6709 compute agent \u5f62\u6001）：<\/p>\n\n\u804c\u8d23\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n
        \u8eab\u4efd<\/td>\nnm-client online \u5230\u672c\u673a\/\u6307\u5b9a home nmd<\/td>\n<\/tr>\n
        \u6ce8\u518c<\/td>\nregister_as \u2192 kind=model.llm，attributes \u542b provider\/model\/models\/auth=grant<\/td>\n<\/tr>\n
        \u63a5\u5355<\/td>\n\u5faa\u73af next_command，\u5904\u7406 model.infer \/ model.stream<\/td>\n<\/tr>\n
        \u51fa\u7ad9<\/td>\nreqwest\/OpenSSL \u8c03\u4e91\u5382\u5546；Key \u4ec5\u5185\u5b58 + OS keyring<\/td>\n<\/tr>\n
        \u95e8\u7981<\/td>\n\u9a8c Grant；QPS \/ \u65e5 token \u914d\u989d；\u53ef\u9009 IP\/\u597d\u53cb\u767d\u540d\u5355<\/td>\n<\/tr>\n
        \u8ba1\u91cf<\/td>\n\u672c\u5730 SQLite \u8bb0 (consumer_id, model, tokens, ts)；\u53ef TELEMETRY_PUB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u914d\u7f6e\u793a\u4f8b（\u63d0\u4f9b\u65b9）<\/p>\n

        # ~\/.config\/nanomesh\/llm-gateway.toml
        \nhome_node = "<\u672c\u673a nmd \u516c\u94a5\u6216 NM_NODE_ADDR>"
        \ndisplay_name = "cmxlinux-openai-share"<\/p>\n

        [[backends]]
        \nid = "openai-main"
        \nprovider = "openai" # openai | anthropic | deepseek | custom
        \nbase_url = "https:\/\/api.openai.com\/v1"
        \n# key \u4ece\u73af\u5883\u53d8\u91cf\u6216 keyring \u8bfb\u53d6，\u7981\u6b62\u5199\u5165 toml \u660e\u6587
        \nkey_env = "OPENAI_API_KEY"
        \nmodels = ["gpt-4o", "gpt-4o-mini"]<\/p>\n

        [policy]
        \nrequire_grant = true
        \n# \u5141\u8bb8\u7684\u6d88\u8d39\u65b9\u516c\u94a5（\u7a7a = \u4ec5\u624b\u52a8\u7b7e\u53d1 Grant \u7684 audience）
        \nallow_audiences = ["<friend_pubkey_hex>", "…"]
        \ndaily_token_budget = 2_000_000
        \nmax_concurrent = 4<\/p>\n

        4.2 nm-llm-proxy（\u6d88\u8d39\u65b9）<\/h4>\n

        \u8f7b\u91cf\u672c\u5730 HTTP \u670d\u52a1（\u53ef Rust \u4e8c\u8fdb\u5236\u6216\u5c0f Node \u670d\u52a1，\u63a8\u8350 Rust \u4e0e\u4ed3\u5e93\u4e00\u81f4）：<\/p>\n\n\u7aef\u70b9\u884c\u4e3a<\/tr>\n\n\n\n\n
        GET \/v1\/models<\/td>\n\u805a\u5408\u76ee\u5f55\u4e2d\u53ef\u89c1\u7684 model.llm<\/td>\n<\/tr>\n
        POST \/v1\/chat\/completions<\/td>\n\u540c\u6b65 \/ stream:true \u2192 SSE<\/td>\n<\/tr>\n
        POST \/anthropic\/v1\/messages（P2）<\/td>\n\u6620\u5c04\u5230\u540c\u4e00 P2P \u8c03\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u667a\u80fd\u4f53\u4fa7\u73af\u5883\u53d8\u91cf（\u6d88\u8d39\u65b9）<\/p>\n

        export<\/span> OPENAI_BASE_URL<\/span>=<\/span>http:\/\/127.0.0.1:11434\/v1
        \nexport<\/span> OPENAI_API_KEY<\/span>=<\/span>nm-local-token # \u4ec5\u6821\u9a8c\u672c\u5730 proxy，\u4e0d\u662f\u4e91 Key<\/span>
        \n# \u53ef\u9009：\u56fa\u5b9a\u67d0\u63d0\u4f9b\u65b9\u5b9e\u4f53<\/span>
        \nexport<\/span> NM_LLM_PROVIDER_ID<\/span>=<\/span><<\/span>64<\/span>-hex><\/span><\/p>\n

        4.3 \u4e0e\u5185\u7f6e Agent \u7684\u5173\u7cfb<\/h4>\n
          \n
        • \u7b2c\u4e09\u65b9\u5de5\u5177（Codex \/ Claude Code \/ \u2026）\u2192 \u5fc5\u987b\u8d70 nm-llm-proxy（\u5b83\u4eec\u53ea\u4f1a HTTP）\u3002<\/li>\n
        • nanomesh \u5185\u7f6e Agent（CMX_AGENT_MERGE_DESIGN.md）\u2192 \u53ef\u76f4\u63a5 P2pModelSeam \u2192 Session::infer，\u7ed5\u8fc7 proxy，\u5c11\u4e00\u8df3\u3002<\/li>\n<\/ul>\n
          \n

          5. \u667a\u80fd\u4f53\u63a5\u5165\u6620\u5c04<\/h3>\n

          \"\u4e3b\u6d41\u667a\u80fd\u4f53\u63a5\u5165\u6620\u5c04\"<\/p>\n

          \u539f\u5219：\u667a\u80fd\u4f53\u4ee5\u4e3a\u81ea\u5df1\u8fde\u7684\u662f\u300c\u672c\u673a OpenAI \u517c\u5bb9\u670d\u52a1\u300d；P2P \u5bf9\u5b83\u4eec\u900f\u660e\u3002<\/p>\n

          \n

          6. \u534f\u8bae\u7ea6\u5b9a（\u4e0e\u73b0\u6709\u4ee3\u7801\u5bf9\u9f50）<\/h3>\n

          6.1 \u53d1\u73b0<\/h4>\n

          directory_query(
          \n kind_prefix = "model.",
          \n require_capabilities = [COMMAND], # \u6d41\u5f0f\u518d\u52a0 STREAM
          \n match_attributes = { "model": "gpt-4o" } # \u53ef\u9009
          \n)<\/p>\n

          \u4e91 Key \u4ee3\u7406\u5efa\u8bae attributes：<\/p>\n\n\u952e\u4f8b\u542b\u4e49<\/tr>\n\n\n\n\n\n\n
          provider<\/td>\nopenai<\/td>\n\u4e91\u5382\u5546<\/td>\n<\/tr>\n
          model \/ models<\/td>\ngpt-4o \/ a,b,c<\/td>\n\u53ef\u670d\u52a1\u6a21\u578b<\/td>\n<\/tr>\n
          auth<\/td>\ngrant<\/td>\n\u9700\u8981 Grant<\/td>\n<\/tr>\n
          proxy<\/td>\ncloud<\/td>\n\u533a\u5206\u4e8e\u672c\u5730 ollama<\/td>\n<\/tr>\n
          status \/ load<\/td>\nidle \/ 30<\/td>\n\u64ae\u5408<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          6.2 \u8c03\u7528<\/h4>\n

          \u590d\u7528\u5df2\u6709：<\/p>\n

          \/\/ \u6d88\u8d39\u7aef（proxy \u5185\u90e8）<\/span>
          \nsession.<\/span>infer_with_grant<\/span>(<\/span>provider_id,<\/span> openai_request_json,<\/span> Some<\/span>(<\/span>grant)<\/span>)<\/span>.<\/span>await<\/span>?<\/span>;<\/span>
          \n\/\/ type_url = "openai.chat.v1"（Session::infer \u5df2\u5199\u6b7b）<\/span><\/p>\n

          \u63d0\u4f9b\u7aef：<\/p>\n

          next_command \u2192 method == "model.infer"
          \n\u2192 decode openai.chat.v1
          \n\u2192 HTTP \u8c03\u4e91
          \n\u2192 reply(ok, Any{type_url: openai.chat.completion.v1, value})<\/p>\n

          \u6d41\u5f0f（P1）：model.stream \u6216\u540c\u4e00 method + stream=true，\u7528 uni \u6d41 \/ \u4e34\u65f6\u9891\u9053\u56de\u63a8 chunk（\u5bf9\u9f50 COMPUTE \u65b9\u6848 \u00a74）\u3002<\/p>\n

          6.3 \u6388\u6743<\/h4>\n

          issue_grant(
          \n audience = consumer_pubkey,
          \n action = "model.infer",
          \n resource = "model:gpt-4o", # \u6216 model:*
          \n expires = now + 7d
          \n)<\/p>\n

          \u63d0\u4f9b\u65b9 authorize(grant, caller, "model.infer", "model.llm", now)；\u5931\u8d25\u5219 CommandResult.ok=false\u3002<\/p>\n

          \n

          7. \u5b89\u5168\u8bbe\u8ba1<\/h3>\n\n\u5a01\u80c1\u7f13\u89e3<\/tr>\n\n\n\n\n\n\n\n
          Key \u6cc4\u9732\u7ed9\u6d88\u8d39\u65b9<\/td>\nKey \u53ea\u5728 gatewayd；proxy \u65e0 Key<\/td>\n<\/tr>\n
          \u672a\u6388\u6743\u8c03\u7528<\/td>\nGrant \u9a8c\u7b7e + audience \u767d\u540d\u5355<\/td>\n<\/tr>\n
          \u8d85\u989d\u5237\u91cf<\/td>\n\u65e5\u914d\u989d \/ \u5e76\u53d1\u4e0a\u9650 \/ \u6309 consumer \u8bb0\u8d26<\/td>\n<\/tr>\n
          \u6076\u610f prompt \u653b\u51fb\u63d0\u4f9b\u65b9\u8d26\u53f7<\/td>\n\u5185\u5bb9\u7b56\u7565\u53ef\u9009；\u5f02\u5e38\u7528\u91cf\u544a\u8b66；\u53ef\u4e00\u952e\u540a\u9500 Grant<\/td>\n<\/tr>\n
          \u4e2d\u95f4\u4eba\u8bfb\u6d41\u91cf<\/td>\niroh QUIC；\u7ba1\u7406\u9762\u52ff\u628a Key \u6253\u8fdb\u65e5\u5fd7<\/td>\n<\/tr>\n
          \u63d0\u4f9b\u65b9\u4f5c\u6076\u8bfb prompt<\/td>\n\u660e\u793a\u4fe1\u4efb\u6a21\u578b：\u5171\u4eab = \u4fe1\u4efb\u8be5\u4e3b\u673a\u4e3b\u4eba；UI \u5f3a\u63d0\u793a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Key \u5b58\u50a8：\u4f18\u5148 OS keyring（\u4e0e\u684c\u9762\u7aef\u8bbe\u5907\u53e3\u4ee4\u540c\u8def\u5f84）；\u7981\u6b62\u63d0\u4ea4 git \/ \u7981\u6b62\u51fa\u73b0\u5728\u8054\u90a6\u540c\u6b65\u7684 redb \u660e\u6587\u3002<\/p>\n

          \n

          8. \u90e8\u7f72\u4e0e\u91cc\u7a0b\u7891<\/h3>\n

          \"\u90e8\u7f72\u4e0e\u91cc\u7a0b\u7891\"<\/p>\n\n\u9636\u6bb5\u4ea4\u4ed8\u9a8c\u6536<\/tr>\n\n\n\n\n\n
          P0<\/td>\nnm-llm-gatewayd（OpenAI \u540c\u6b65）+ nm-llm-proxy + \u597d\u53cb Grant<\/td>\n\u673a\u5668 A \u6301 Key；\u673a\u5668 B \u8dd1 Codex，BASE_URL \u6307\u672c\u5730 proxy，\u80fd\u5b8c\u6210\u4e00\u8f6e\u8865\u5168<\/td>\n<\/tr>\n
          P1<\/td>\nSSE \u6d41\u5f0f\u3001\u914d\u989d\u3001\u5ba1\u8ba1\u3001\u591a model attributes\u3001failover<\/td>\nClaude Code \u957f\u5bf9\u8bdd\u6d41\u5f0f\u7a33\u5b9a；\u8d85\u914d\u989d\u88ab\u62d2<\/td>\n<\/tr>\n
          P2<\/td>\nAnthropic \u6620\u5c04\u3001\u591a\u5382\u5546\u3001\u684c\u9762\u300c\u5171\u4eab\u5f00\u5173\u300dUI<\/td>\nQoder\/WorkBuddy \u7b49\u540c\u914d\u7f6e\u53ef\u7528<\/td>\n<\/tr>\n
          P3<\/td>\n\u8ba1\u8d39\/Broker\/\u6ee5\u7528\u68c0\u6d4b<\/td>\n\u4e0e PLAN_E \u8854\u63a5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u5efa\u8bae\u4ed3\u5e93\u843d\u70b9<\/p>\n

          bin\/nm-llm-gatewayd\/ # \u63d0\u4f9b\u65b9
          \nbin\/nm-llm-proxy\/ # \u6d88\u8d39\u65b9（\u4e5f\u53ef crates\/nm-llm-proxy + \u8584 bin）
          \ncrates\/nm-llm-openai\/ # \u8bf7\u6c42\/\u54cd\u5e94\u6620\u5c04\u3001SSE \u7f16\u89e3\u7801（\u53ef\u9009\u62bd\u51fa）
          \ndocs\/LLM_KEY_SHARE_P2P_DESIGN.md # \u672c\u6587<\/p>\n

          \u590d\u7528：nm-client \u7684 find_model_providers \/ infer_with_grant（\u5df2\u5b58\u5728）\u3002<\/p>\n

          \n

          9. \u672c\u673a \/ \u8fdc\u7aef\u64cd\u4f5c\u624b\u518c（P0 \u9884\u89c8）<\/h3>\n

          \u63d0\u4f9b\u65b9（\u6301 Key）<\/h4>\n

          # 1. \u672c\u673a nmd \u5df2\u8fd0\u884c<\/span>
          \n# 2. \u5199\u5165 Key（\u793a\u4f8b）<\/span>
          \nexport<\/span> OPENAI_API_KEY<\/span>=<\/span>sk-..<\/span>.
          \n# 3. \u542f\u52a8\u7f51\u5173<\/span>
          \ncargo<\/span> run -p<\/span> nm-llm-gatewayd — –config<\/span> ~\/.config\/nanomesh\/llm-gateway.toml
          \n# 4. \u7ed9\u597d\u53cb\u7b7e\u53d1 Grant（CLI \u6216\u7ba1\u7406\u53f0\u540e\u7eed\u505a）<\/span>
          \nnm-llm-grant –audience<\/span> <<\/span>friend_hex><\/span> –model<\/span> gpt-4o –days<\/span> 7<\/span><\/p>\n

          \u6d88\u8d39\u65b9（\u8dd1\u667a\u80fd\u4f53）<\/h4>\n

          # 1. \u672c\u673a\u53ef\u8fde\u8054\u90a6（nmd \u6216\u684c\u9762\u7aef\u5728\u7ebf）<\/span>
          \n# 2. \u542f\u52a8 proxy<\/span>
          \ncargo<\/span> run -p<\/span> nm-llm-proxy — –listen<\/span> 127.0<\/span>.0.1:11434
          \n# 3. \u914d\u7f6e\u667a\u80fd\u4f53<\/span>
          \nexport<\/span> OPENAI_BASE_URL<\/span>=<\/span>http:\/\/127.0.0.1:11434\/v1
          \nexport<\/span> OPENAI_API_KEY<\/span>=<\/span>nm-local-token
          \n# 4. \u6b63\u5e38\u4f7f\u7528 Codex \/ Claude Code \/ \u2026<\/span><\/p>\n

          \n

          10. \u98ce\u9669\u4e0e\u5f00\u653e\u95ee\u9898<\/h3>\n
        • \u667a\u80fd\u4f53\u5382\u5546\u5dee\u5f02：\u90e8\u5206\u5de5\u5177\u9501\u6b7b\u5b98\u65b9 Base URL \u2192 \u9700\u6587\u6863\u8bf4\u660e\u6216\u4ec5\u652f\u6301\u53ef\u914d\u7f6e\u8005\u3002<\/li>\n
        • Anthropic \u2260 OpenAI \u534f\u8bae：P0 \u53ea\u505a OpenAI；Claude Code \u53ef\u7528\u300cOpenAI \u517c\u5bb9\u6a21\u5f0f\u300d\u6216 P2 \u4e13\u7528\u6865\u3002<\/li>\n
        • \u5ef6\u8fdf：\u591a\u4e00\u8df3 P2P + \u4e91 API；\u540c\u57ce relay \u901a\u5e38\u53ef\u63a5\u53d7 coding agent \u573a\u666f\u3002<\/li>\n
        • \u6cd5\u5f8b \/ ToS：\u5171\u4eab Key \u662f\u5426\u8fdd\u53cd\u4e91\u5382\u5546\u6761\u6b3e \u2192 \u4ea7\u54c1\u5c42\u9700\u7528\u6237\u786e\u8ba4\u52fe\u9009\u3002<\/li>\n
        • \u4e0e\u672c\u5730 ollama \u5e76\u5b58：\u7528 attributes proxy=cloud|local \u533a\u5206，\u907f\u514d\u64ae\u5408\u6df7\u4e71\u3002<\/li>\n
          \n

          11. \u51b3\u7b56\u6e05\u5355（\u5f85\u8bc4\u5ba1\u52fe\u9009）<\/h3>\n
            \n
          • P0 \u662f\u5426\u53ea\u652f\u6301 OpenAI \u517c\u5bb9\u4e00\u79cd\u8f7d\u8377（openai.chat.v1）？<\/li>\n
          • Grant \u9ed8\u8ba4\u7b56\u7565：\u597d\u53cb\u81ea\u52a8\u6388 \/ \u624b\u52a8\u7b7e\u53d1 \/ \u53e3\u4ee4\u5151\u6362？<\/li>\n
          • proxy \u9ed8\u8ba4\u7aef\u53e3 11434（\u8d34\u8fd1 ollama）\u8fd8\u662f 18080？<\/li>\n
          • gatewayd \u662f\u5426\u5e76\u5165\u73b0\u6709 nm-agent\/nm-compute \u4e8c\u8fdb\u5236，\u8fd8\u662f\u72ec\u7acb bin？<\/li>\n
          • \u684c\u9762\u7aef\u662f\u5426\u5728\u8bbe\u7f6e\u9875\u589e\u52a0\u300c\u5171\u4eab\u6211\u7684\u4e91\u6a21\u578b\u300d\u5f00\u5173（P2）？<\/li>\n<\/ul>\n
            \n

            12. \u53c2\u8003<\/h3>\n
              \n
            • docs\/COMPUTE_MODEL_P2P_DESIGN.md \u2014 \u901a\u7528 model\/compute P2P<\/li>\n
            • docs\/CMX_AGENT_MERGE_DESIGN.md \u2014 \u5185\u7f6e Agent \u00d7 P2pModelSeam<\/li>\n
            • docs\/PLAN_E_decentralized_compute_network.md \u2014 \u957f\u671f DePIN \/ \u7ed3\u7b97<\/li>\n
            • crates\/nm-client\/src\/session_calls.rs \u2014 find_model_providers \/ infer_with_grant<\/li>\n
            • crates\/nm-crypto \u2014 Grant \u7b7e\u53d1\u4e0e\u6821\u9a8c<\/li>\n<\/ul>\n
              \n","protected":false},"excerpt":{"rendered":"

              \u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848\u4e00\u53e5\u8bdd：\u4f60\u5728\u672c\u673a\u8d2d\u4e70\u7684\u5927\u6a21\u578b API Key（OpenAI \/ Anthropic \/ DeepSeek \u2026）\u53ea\u4fdd\u5b58\u5728\u672c\u673a；
              \n\u901a\u8fc7 nanomesh \u6ce8\u518c\u4e3a\u53ef\u53d1\u73b0\u7684 model.llm \u80fd\u529b，\u5e76\u5bf9\u5916\u63d0\u4f9b model.infer \/ model.stream；
              \n\u5176\u4ed6\u7528\u6237\u7535\u8111\u4e0a\u7684 Codex\u3001Claude Code\u3001Qoder\u3001Wo<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[868,66,1249,1160,3183],"topic":[],"class_list":["post-117466","post","type-post","status-publish","format-standard","hentry","category-server","tag-868","tag-ai","tag-p2p","tag-1160","tag-3183"],"yoast_head":"\n\u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/117466.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u672c\u673a\u4e91\u5382\u5546 LLM Key \u7ecf nanomesh P2P \u5171\u4eab\u65b9\u6848\u4e00\u53e5\u8bdd：\u4f60\u5728\u672c\u673a\u8d2d\u4e70\u7684\u5927\u6a21\u578b API Key（OpenAI \/ Anthropic \/ DeepSeek \u2026）\u53ea\u4fdd\u5b58\u5728\u672c\u673a； \u901a\u8fc7 nanomesh \u6ce8\u518c\u4e3a\u53ef\u53d1\u73b0\u7684 model.llm \u80fd\u529b，\u5e76\u5bf9\u5916\u63d0\u4f9b model.infer \/ model.stream； \u5176\u4ed6\u7528\u6237\u7535\u8111\u4e0a\u7684 Codex\u3001Claude Code\u3001Qoder\u3001Wo\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/117466.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-24T15:24:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.csdn.net\/warpdrivelabs\/article\/details\/data:image\/svg+xml;base64,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