[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_155":156,"_157":158},"routes/_app.x.$handle.$name",{"_96":95,"_32":45,"_105":86,"_27":53,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":25,"_119":120,"_121":58,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":25},"version",6,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","97a4839a-9e87-11f1-a17f-1607ee4eb77e","name","fileType","http","content","// Docket backend — Val Town HTTP val\n// Deploy: paste this whole file into a new val, add an HTTP trigger, and set\n// these environment variables in the val's Settings > Environment Variables:\n//\n// GEMINI_API_KEY (required for Tier 1) — free, no credit card, from\n// https://aistudio.google.com/apikey (a Google\n// account is all that's needed). Tier 1 (per-page\n// vision extraction) now calls Gemini directly\n// instead of going through OpenRouter's free-model\n// router — that router was landing on models never\n// built for the task (a content-safety classifier,\n// a reasoning model that burns its budget before\n// writing output), which retries alone can't fix.\n// Calling Gemini by name means no lottery: you\n// always get the model you asked for.\n// OPENROUTER_API_KEY (required for Tier 2) — from https://openrouter.ai/keys.\n// TIER1_MODEL (optional) — Gemini model slug for per-page\n// extraction. Needs vision support. Check current\n// options at https://ai.google.dev/gemini-api/docs/models\n// before relying on the default below.\n// TIER2_MODEL (optional) — OpenRouter model slug for case\n// assembly. Text-only, so the model lottery isn't the\n// same risk here. Defaults to openrouter/free.\n// ALLOWED_ORIGIN (optional) — lock CORS to your Codeberg Pages URL\n// once deployed. Left as \"*\" for now — this build is\n// an open link on purpose, no password, for demoing.\n//\n// NOTE: this endpoint is currently unauthenticated by design (per request —\n// this is a WIP demo meant to be shared as a free link). That means anyone\n// with the URL can call it and consume your Gemini/OpenRouter usage. Revisit\n// this (a password, per-firm access, or real accounts) before pointing this\n// at paid models or real client data.\n\nimport { Hono } from \"npm:hono@4\";\nimport { cors } from \"npm:hono@4/cors\";\n\nconst GEMINI_KEY = Deno.env.get(\"GEMINI_API_KEY\");\nconst OPENROUTER_KEY = Deno.env.get(\"OPENROUTER_API_KEY\");\n// Gemini model for Tier 1 — called directly, by name, no auto-router involved.\n// Verify this slug is still current at https://ai.google.dev/gemini-api/docs/models.\nconst TIER1_MODEL = Deno.env.get(\"TIER1_MODEL\") || \"gemini-2.5-flash\";\n// openrouter/free is OpenRouter's own router across free models. Tier 2 is\n// text-only case assembly, so the \"wrong kind of model\" failure mode Tier 1\n// hit doesn't really apply here — a text model getting picked to do text\n// assembly is much lower-risk than a classifier getting picked to do vision.\nconst TIER2_MODEL = Deno.env.get(\"TIER2_MODEL\") || \"openrouter/free\";\n// Optional: lock CORS to your Codeberg Pages URL once deployed, e.g.\n// \"https://yourname.codeberg.page\". Left as \"*\" by default — this build is\n// meant to be an open link, no password, for demo purposes.\nconst ALLOWED_ORIGIN = Deno.env.get(\"ALLOWED_ORIGIN\") || \"*\";\n\nconst app = new Hono();\n\napp.use(\n \"*\",\n cors({\n origin: ALLOWED_ORIGIN,\n allowMethods: [\"GET\", \"POST\", \"OPTIONS\"],\n allowHeaders: [\"Content-Type\"],\n }),\n);\n\nfunction checkOrigin(req: Request): boolean {\n if (ALLOWED_ORIGIN === \"*\") return true; // not configured — skip this check\n const origin = req.headers.get(\"Origin\") || req.headers.get(\"Referer\") || \"\";\n return origin.startsWith(ALLOWED_ORIGIN);\n}\n\n// Shared core for any OpenAI-compatible chat completions endpoint (both\n// OpenRouter and Gemini's OpenAI-compat endpoint use this exact request/\n// response shape), with retry-on-garbage-output baked in. Two failure modes\n// observed in practice with free/random models: (1) the model hits max_tokens\n// on internal reasoning before writing any visible output — finish_reason\n// \"length\" with empty content; (2) the model ignores the JSON instruction\n// entirely and returns a stray commentary/safety-stub string with no \"{\"\n// anywhere in it. Both are \"successful\" HTTP responses from the provider's\n// point of view, so they don't trigger the retryable-error path below — they\n// need their own check.\nasync function callChatCompletions(\n baseUrl: string,\n apiKey: string | undefined,\n model: string,\n messages: unknown[],\n maxTokens: number,\n extraHeaders: Record = {},\n attempts = 3,\n) {\n let lastErr: any = null;\n for (let attempt = 1; attempt <= attempts; attempt++) {\n const resp = await fetch(baseUrl, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n ...extraHeaders,\n },\n body: JSON.stringify({ model, max_tokens: maxTokens, messages }),\n });\n const data = await resp.json();\n if (!resp.ok || data.error) {\n const err: any = new Error(\n `API error (${resp.status}): ${\n data.error ? JSON.stringify(data.error) : JSON.stringify(data)\n }`,\n );\n err.status = resp.status;\n // Retry on the provider's own transient errors (rate limit / overload), same as a garbage-output retry.\n if ([429, 500, 502, 503].includes(resp.status) && attempt < attempts) {\n lastErr = err;\n continue;\n }\n throw err;\n }\n const choice = data.choices?.[0];\n const text: string | undefined = choice?.message?.content;\n const finishReason = choice?.finish_reason || choice?.native_finish_reason;\n\n if (!text || !text.trim()) {\n lastErr = new Error(\n `Model returned empty content (finish_reason: ${\n finishReason || \"unknown\"\n }, model: ${\n data.model || model\n }) — likely spent its token budget on internal reasoning before producing output.`,\n );\n if (attempt < attempts) continue;\n throw lastErr;\n }\n if (!text.includes(\"{\")) {\n // No JSON-shaped content anywhere — e.g. a moderation stub like \"User Safety: safe\"\n // instead of the requested extraction. Not something worth trying to parse.\n lastErr = new Error(\n `Model returned non-JSON content (model: ${data.model || model}): ${\n text.slice(0, 150)\n }`,\n );\n if (attempt < attempts) continue;\n throw lastErr;\n }\n return text;\n }\n throw lastErr || new Error(\"API call failed with no response\");\n}\n\nfunction callGemini(model: string, messages: unknown[], maxTokens: number) {\n return callChatCompletions(\n \"https://generativelanguage.googleapis.com/v1beta/openai/chat/completions\",\n GEMINI_KEY,\n model,\n messages,\n maxTokens,\n );\n}\n\nfunction callOpenRouter(model: string, messages: unknown[], maxTokens: number) {\n return callChatCompletions(\n \"https://openrouter.ai/api/v1/chat/completions\",\n OPENROUTER_KEY,\n model,\n messages,\n maxTokens,\n {\n // OpenRouter asks apps to identify themselves with these two headers.\n \"HTTP-Referer\": ALLOWED_ORIGIN !== \"*\"\n ? ALLOWED_ORIGIN\n : \"https://val.town\",\n \"X-Title\": \"Docket\",\n },\n );\n}\n\nconst TIER1_PROMPT =\n `You are extracting structured facts from ONE PAGE of a personal-injury case file (a medical record, itemized bill, or police report). Look at the page image carefully, including handwriting and scanned/faxed text.\n\nReturn ONLY valid JSON, no markdown fences, no commentary, in exactly this shape:\n{\"has_content\": true or false, \"facts\": [{\"date\": \"YYYY-MM-DD or null\", \"provider\": \"string or null\", \"category\": \"visit | imaging | procedure | therapy | bill | report | other\", \"description\": \"short factual description, under 20 words\", \"amount\": number or null}]}\n\nRules:\n- Extract every distinct dated event or line-item charge as its own fact object.\n- If the page has no case-relevant information (blank page, cover sheet, fax banner only), return has_content:false and facts:[].\n- Never invent a date, provider, or amount that is not visibly on the page. Use null rather than guessing.\n- Dollar amounts should be plain numbers (e.g. 452.10), not strings with symbols.`;\n\nfunction buildTier2Prompt(caseInfo: any, pageFacts: any[]) {\n const factsPayload = pageFacts.map((p) => ({\n source: { file: p.file, page: p.page },\n facts: p.facts,\n }));\n const ci = caseInfo || {};\n return `You are a senior paralegal assembling a personal-injury case file from extracted page facts below. Build a chronological case file and draft a demand letter.\n\nCASE INFO:\n- Claimant: ${ci.claimant || \"[unspecified]\"}\n- Date of incident: ${ci.incidentDate || \"[unspecified]\"}\n- Defendant / insurer contact: ${ci.defendant || \"[unspecified]\"}\n- Firm / sender: ${ci.firm || \"[unspecified]\"}\n- Injury description (attorney-provided): ${ci.injury || \"[unspecified]\"}\n\nEXTRACTED PAGE FACTS (JSON array, one entry per source page):\n${JSON.stringify(factsPayload)}\n\nReturn ONLY valid JSON, no markdown fences, in exactly this shape:\n{\n \"timeline\": [{\"date\":\"YYYY-MM-DD\",\"provider\":\"string\",\"event\":\"short title\",\"description\":\"1-2 sentence description\",\"category\":\"visit|imaging|procedure|therapy|bill|report|other\",\"source\":{\"file\":\"string\",\"page\":number}}],\n \"gaps\": [{\"from\":\"YYYY-MM-DD\",\"to\":\"YYYY-MM-DD\",\"days\":number,\"note\":\"why defense counsel could use this gap against the claim\"}],\n \"damages\": [{\"provider\":\"string\",\"category\":\"string\",\"amount\":number,\"source\":{\"file\":\"string\",\"page\":number}}],\n \"total_damages\": number,\n \"demand_letter\": \"full narrative demand letter text, professional plaintiff's-counsel tone, third person, referencing the claimant by name and summarizing the treatment timeline and injuries, closing with a demand for the total damages figure. Do not include a damages table inside the letter text -- that is rendered separately. Sign off generically as 'Counsel for Claimant'.\"\n}\n\nRules:\n- Sort the timeline chronologically by date; omit entries with no usable date only if truly undated.\n- Flag any gap in treatment greater than 21 days between consecutive dated events as a \"gaps\" entry.\n- Sum damages; every damages line must carry the source page it came from.\n- Do not fabricate facts, dates, or amounts that are not present in the extracted page facts. If information is thin, say so plainly in the letter rather than inventing detail.`;\n}\n\napp.post(\"/tier1\", async (c) => {\n if (!checkOrigin(c.req.raw)) {\n return c.json({ error: \"forbidden origin\" }, 403);\n }\n if (!GEMINI_KEY) {\n return c.json({ error: \"GEMINI_API_KEY not set on the val\" }, 500);\n }\n const body = await c.req.json();\n const imageBase64 = body.imageBase64; // full data URL, e.g. \"data:image/jpeg;base64,....\"\n if (!imageBase64) return c.json({ error: \"missing imageBase64\" }, 400);\n\n const messages = [{\n role: \"user\",\n content: [\n { type: \"image_url\", image_url: { url: imageBase64 } },\n { type: \"text\", text: TIER1_PROMPT },\n ],\n }];\n\n try {\n const raw = await callGemini(TIER1_MODEL, messages, 1800);\n return c.json({ raw });\n } catch (e: any) {\n return c.json(\n { error: e.message, retryable: e.status === 429 },\n e.status || 500,\n );\n }\n});\n\napp.post(\"/tier2\", async (c) => {\n if (!checkOrigin(c.req.raw)) {\n return c.json({ error: \"forbidden origin\" }, 403);\n }\n if (!OPENROUTER_KEY) {\n return c.json({ error: \"OPENROUTER_API_KEY not set on the val\" }, 500);\n }\n const body = await c.req.json();\n const prompt = buildTier2Prompt(body.caseInfo, body.pageFacts || []);\n\n try {\n const raw = await callOpenRouter(TIER2_MODEL, [{\n role: \"user\",\n content: prompt,\n }], 8000);\n return c.json({ raw });\n } catch (e: any) {\n return c.json(\n { error: e.message, retryable: e.status === 429 },\n e.status || 500,\n );\n }\n});\n\napp.get(\"/\", (c) => {\n return c.json({\n ok: true,\n service: \"Docket backend\",\n tier1: {\n provider: \"gemini\",\n model: TIER1_MODEL,\n keyConfigured: !!GEMINI_KEY,\n },\n tier2: {\n provider: \"openrouter\",\n model: TIER2_MODEL,\n keyConfigured: !!OPENROUTER_KEY,\n },\n });\n});\n\nexport default app.fetch;","// Docket backend — Val Town HTTP val\n// Deploy: paste this whole file into a new val, add an HTTP trigger, and set\n// these environment variables in the val's Settings > Environment Variables:\n//\n// GEMINI_API_KEY (required for Tier 1) — free, no credit card, from\n// https://aistudio.google.com/apikey (a Google\n// account is all that's needed). Tier 1 (per-page\n// vision extraction) now calls Gemini directly\n// instead of going through OpenRouter's free-model\n// router — that router was landing on models never\n// built for the task (a content-safety classifier,\n// a reasoning model that burns its budget before\n// writing output), which retries alone can't fix.\n// Calling Gemini by name means no lottery: you\n// always get the model you asked for.\n// OPENROUTER_API_KEY (required for Tier 2) — from https://openrouter.ai/keys.\n// TIER1_MODEL (optional) — Gemini model slug for per-page\n// extraction. Needs vision support. Check current\n// options at https://ai.google.dev/gemini-api/docs/models\n// before relying on the default below.\n// TIER2_MODEL (optional) — OpenRouter model slug for case\n// assembly. Text-only, so the model lottery isn't the\n// same risk here. Defaults to openrouter/free.\n// ALLOWED_ORIGIN (optional) — lock CORS to your Codeberg Pages URL\n// once deployed. Left as \"*\" for now — this build is\n// an open link on purpose, no password, for demoing.\n//\n// NOTE: this endpoint is currently unauthenticated by design (per request —\n// this is a WIP demo meant to be shared as a free link). That means anyone\n// with the URL can call it and consume your Gemini/OpenRouter usage. Revisit\n// this (a password, per-firm access, or real accounts) before pointing this\n// at paid models or real client data.\n\nimport { Hono } from \"npm:hono@4\";\nimport { cors } from \"npm:hono@4/cors\";\n\nconst GEMINI_KEY = Deno.env.get(\"GEMINI_API_KEY\");\nconst OPENROUTER_KEY = Deno.env.get(\"OPENROUTER_API_KEY\");\n// Gemini model for Tier 1 — called directly, by name, no auto-router involved.\n// Verify this slug is still current at https://ai.google.dev/gemini-api/docs/models.\nconst TIER1_MODEL = Deno.env.get(\"TIER1_MODEL\") || \"gemini-3.6-flash\";\n// openrouter/free is OpenRouter's own router across free models. Tier 2 is\n// text-only case assembly, so the \"wrong kind of model\" failure mode Tier 1\n// hit doesn't really apply here — a text model getting picked to do text\n// assembly is much lower-risk than a classifier getting picked to do vision.\nconst TIER2_MODEL = Deno.env.get(\"TIER2_MODEL\") || \"openrouter/free\";\n// Optional: lock CORS to your Codeberg Pages URL once deployed, e.g.\n// \"https://yourname.codeberg.page\". Left as \"*\" by default — this build is\n// meant to be an open link, no password, for demo purposes.\nconst ALLOWED_ORIGIN = Deno.env.get(\"ALLOWED_ORIGIN\") || \"*\";\n\nconst app = new Hono();\n\napp.use(\n \"*\",\n cors({\n origin: ALLOWED_ORIGIN,\n allowMethods: [\"GET\", \"POST\", \"OPTIONS\"],\n allowHeaders: [\"Content-Type\"],\n }),\n);\n\nfunction checkOrigin(req: Request): boolean {\n if (ALLOWED_ORIGIN === \"*\") return true; // not configured — skip this check\n const origin = req.headers.get(\"Origin\") || req.headers.get(\"Referer\") || \"\";\n return origin.startsWith(ALLOWED_ORIGIN);\n}\n\n// Shared core for any OpenAI-compatible chat completions endpoint (both\n// OpenRouter and Gemini's OpenAI-compat endpoint use this exact request/\n// response shape), with retry-on-garbage-output baked in. Two failure modes\n// observed in practice with free/random models: (1) the model hits max_tokens\n// on internal reasoning before writing any visible output — finish_reason\n// \"length\" with empty content; (2) the model ignores the JSON instruction\n// entirely and returns a stray commentary/safety-stub string with no \"{\"\n// anywhere in it. Both are \"successful\" HTTP responses from the provider's\n// point of view, so they don't trigger the retryable-error path below — they\n// need their own check.\nasync function callChatCompletions(\n baseUrl: string,\n apiKey: string | undefined,\n model: string,\n messages: unknown[],\n maxTokens: number,\n extraHeaders: Record = {},\n attempts = 3,\n) {\n let lastErr: any = null;\n for (let attempt = 1; attempt <= attempts; attempt++) {\n const resp = await fetch(baseUrl, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n ...extraHeaders,\n },\n body: JSON.stringify({ model, max_tokens: maxTokens, messages }),\n });\n const data = await resp.json();\n if (!resp.ok || data.error) {\n const err: any = new Error(\n `API error (${resp.status}): ${\n data.error ? JSON.stringify(data.error) : JSON.stringify(data)\n }`,\n );\n err.status = resp.status;\n // Retry on the provider's own transient errors (rate limit / overload), same as a garbage-output retry.\n if ([429, 500, 502, 503].includes(resp.status) && attempt < attempts) {\n lastErr = err;\n continue;\n }\n throw err;\n }\n const choice = data.choices?.[0];\n const text: string | undefined = choice?.message?.content;\n const finishReason = choice?.finish_reason || choice?.native_finish_reason;\n\n if (!text || !text.trim()) {\n lastErr = new Error(\n `Model returned empty content (finish_reason: ${\n finishReason || \"unknown\"\n }, model: ${\n data.model || model\n }) — likely spent its token budget on internal reasoning before producing output.`,\n );\n if (attempt < attempts) continue;\n throw lastErr;\n }\n if (!text.includes(\"{\")) {\n // No JSON-shaped content anywhere — e.g. a moderation stub like \"User Safety: safe\"\n // instead of the requested extraction. Not something worth trying to parse.\n lastErr = new Error(\n `Model returned non-JSON content (model: ${data.model || model}): ${\n text.slice(0, 150)\n }`,\n );\n if (attempt < attempts) continue;\n throw lastErr;\n }\n return text;\n }\n throw lastErr || new Error(\"API call failed with no response\");\n}\n\nfunction callGemini(model: string, messages: unknown[], maxTokens: number) {\n return callChatCompletions(\n \"https://generativelanguage.googleapis.com/v1beta/openai/chat/completions\",\n GEMINI_KEY,\n model,\n messages,\n maxTokens,\n );\n}\n\nfunction callOpenRouter(model: string, messages: unknown[], maxTokens: number) {\n return callChatCompletions(\n \"https://openrouter.ai/api/v1/chat/completions\",\n OPENROUTER_KEY,\n model,\n messages,\n maxTokens,\n {\n // OpenRouter asks apps to identify themselves with these two headers.\n \"HTTP-Referer\": ALLOWED_ORIGIN !== \"*\"\n ? ALLOWED_ORIGIN\n : \"https://val.town\",\n \"X-Title\": \"Docket\",\n },\n );\n}\n\nconst TIER1_PROMPT =\n `You are extracting structured facts from ONE PAGE of a personal-injury case file (a medical record, itemized bill, or police report). Look at the page image carefully, including handwriting and scanned/faxed text.\n\nReturn ONLY valid JSON, no markdown fences, no commentary, in exactly this shape:\n{\"has_content\": true or false, \"facts\": [{\"date\": \"YYYY-MM-DD or null\", \"provider\": \"string or null\", \"category\": \"visit | imaging | procedure | therapy | bill | report | other\", \"description\": \"short factual description, under 20 words\", \"amount\": number or null}]}\n\nRules:\n- Extract every distinct dated event or line-item charge as its own fact object.\n- If the page has no case-relevant information (blank page, cover sheet, fax banner only), return has_content:false and facts:[].\n- Never invent a date, provider, or amount that is not visibly on the page. Use null rather than guessing.\n- Dollar amounts should be plain numbers (e.g. 452.10), not strings with symbols.`;\n\nfunction buildTier2Prompt(caseInfo: any, pageFacts: any[]) {\n const factsPayload = pageFacts.map((p) => ({\n source: { file: p.file, page: p.page },\n facts: p.facts,\n }));\n const ci = caseInfo || {};\n return `You are a senior paralegal assembling a personal-injury case file from extracted page facts below. Build a chronological case file and draft a demand letter.\n\nCASE INFO:\n- Claimant: ${ci.claimant || \"[unspecified]\"}\n- Date of incident: ${ci.incidentDate || \"[unspecified]\"}\n- Defendant / insurer contact: ${ci.defendant || \"[unspecified]\"}\n- Firm / sender: ${ci.firm || \"[unspecified]\"}\n- Injury description (attorney-provided): ${ci.injury || \"[unspecified]\"}\n\nEXTRACTED PAGE FACTS (JSON array, one entry per source page):\n${JSON.stringify(factsPayload)}\n\nReturn ONLY valid JSON, no markdown fences, in exactly this shape:\n{\n \"timeline\": [{\"date\":\"YYYY-MM-DD\",\"provider\":\"string\",\"event\":\"short title\",\"description\":\"1-2 sentence description\",\"category\":\"visit|imaging|procedure|therapy|bill|report|other\",\"source\":{\"file\":\"string\",\"page\":number}}],\n \"gaps\": [{\"from\":\"YYYY-MM-DD\",\"to\":\"YYYY-MM-DD\",\"days\":number,\"note\":\"why defense counsel could use this gap against the claim\"}],\n \"damages\": [{\"provider\":\"string\",\"category\":\"string\",\"amount\":number,\"source\":{\"file\":\"string\",\"page\":number}}],\n \"total_damages\": number,\n \"demand_letter\": \"full narrative demand letter text, professional plaintiff's-counsel tone, third person, referencing the claimant by name and summarizing the treatment timeline and injuries, closing with a demand for the total damages figure. Do not include a damages table inside the letter text -- that is rendered separately. Sign off generically as 'Counsel for Claimant'.\"\n}\n\nRules:\n- Sort the timeline chronologically by date; omit entries with no usable date only if truly undated.\n- Flag any gap in treatment greater than 21 days between consecutive dated events as a \"gaps\" entry.\n- Sum damages; every damages line must carry the source page it came from.\n- Do not fabricate facts, dates, or amounts that are not present in the extracted page facts. If information is thin, say so plainly in the letter rather than inventing detail.`;\n}\n\napp.post(\"/tier1\", async (c) => {\n if (!checkOrigin(c.req.raw)) {\n return c.json({ error: \"forbidden origin\" }, 403);\n }\n if (!GEMINI_KEY) {\n return c.json({ error: \"GEMINI_API_KEY not set on the val\" }, 500);\n }\n const body = await c.req.json();\n const imageBase64 = body.imageBase64; // full data URL, e.g. \"data:image/jpeg;base64,....\"\n if (!imageBase64) return c.json({ error: \"missing imageBase64\" }, 400);\n\n const messages = [{\n role: \"user\",\n content: [\n { type: \"image_url\", image_url: { url: imageBase64 } },\n { type: \"text\", text: TIER1_PROMPT },\n ],\n }];\n\n try {\n const raw = await callGemini(TIER1_MODEL, messages, 3500);\n return c.json({ raw });\n } catch (e: any) {\n return c.json(\n { error: e.message, retryable: e.status === 429 },\n e.status || 500,\n );\n }\n});\n\napp.post(\"/tier2\", async (c) => {\n if (!checkOrigin(c.req.raw)) {\n return c.json({ error: \"forbidden origin\" }, 403);\n }\n if (!OPENROUTER_KEY) {\n return c.json({ error: \"OPENROUTER_API_KEY not set on the val\" }, 500);\n }\n const body = await c.req.json();\n const prompt = buildTier2Prompt(body.caseInfo, body.pageFacts || []);\n\n try {\n const raw = await callOpenRouter(TIER2_MODEL, [{\n role: \"user\",\n content: prompt,\n }], 8000);\n return c.json({ raw });\n } catch (e: any) {\n return c.json(\n { error: e.message, retryable: e.status === 429 },\n e.status || 500,\n );\n }\n});\n\napp.get(\"/\", (c) => {\n return c.json({\n ok: true,\n service: \"Docket backend\",\n tier1: {\n provider: \"gemini\",\n model: TIER1_MODEL,\n keyConfigured: !!GEMINI_KEY,\n },\n tier2: {\n provider: \"openrouter\",\n model: TIER2_MODEL,\n keyConfigured: !!OPENROUTER_KEY,\n },\n });\n});\n\nexport default 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Diff · v6