mirror of
https://github.com/Routstr/routstr-core.git
synced 2026-07-22 12:22:20 +00:00
update examples
This commit is contained in:
Shroominic
36
.env.example
36
.env.example
@@ -1,5 +1,4 @@
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NAME = "Your Routstr Proxy Name"
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DESCRIPTION = "A short Description"
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# Any openai-compatible api endpoint
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@@ -9,40 +8,27 @@ UPSTREAM_API_KEY="sk-21212121212121212121212121212121"
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# Lightning address used to receive funds
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RECEIVE_LN_ADDRESS="shroominic@walletofsatoshi.com"
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# A prepaid key you can use when you are using it yourself or while testing. Api-key doesn't need to be in any specific format but it should start with "sk-""
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PREPAID_API_KEY="sk-" # Add any string/hash here. Replace with a new string for a new API
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PREPAID_BALANCE="10000" # 10k sats
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# When your cashu balance reaches this number of sats, send the funds to RECEIVE_LN_ADDRESS.
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MINIMUM_PAYOUT = "100"
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# Costs in Sats, if MODEL_BASED_PRICING is set to false
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COST_PER_REQUEST="10"
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COST_PER_1K_INPUT_TOKENS = "0"
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COST_PER_1K_OUTPUT_TOKENS = "0"
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# If set to true, pricing is loaded from the file specified by MODELS_PATH
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# Defaults to "models.json" and falls back to "models.example.json" if missing
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MODEL_BASED_PRICING = "false"
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MODEL_BASED_PRICING = "true"
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# MODELS_PATH="models.json"
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# Time in seconds between each automatically refunding funds to users whose API keys have expired
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# Setting this to "0" disables automatic refunds
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REFUND_PROCESSING_INTERVAL = "3600"
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# Costs in Sats, if MODEL_BASED_PRICING is set to false
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# COST_PER_REQUEST="10"
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# COST_PER_1K_INPUT_TOKENS = "0"
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# COST_PER_1K_OUTPUT_TOKENS = "0"
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# password used to log into admin interface
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ADMIN_PASSWORD="XXX"
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ADMIN_PASSWORD="CHANGE-THIS"
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# NPUB of Nostr account
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NSEC=""
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NPUB="npub..."
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# Public Endpoint
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HTTP_URL="https://your.domain.com"
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# Not used currently
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HTTP_URL=""
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# Tor Endpoint (copy from docker logs)
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ONION_URL=".onion"
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# Not used currently
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ONION_URL="XXX.onion"
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RELAYS="wss://relay.damus.io,wss://relay.nostr.band"
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RELAYS="wss://relay.routstr.com,wss://relay.nostr.band"
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CASHU_MINTS="https://mint.minibits.cash/Bitcoin,https://mint.cubabitcoin.org"
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@@ -1,11 +1,12 @@
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{
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"models": [
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{
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"id": "google/gemini-2.5-pro-preview",
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"id": "google/gemini-2.5-flash",
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"canonical_slug": "google/gemini-2.5-flash",
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"hugging_face_id": "",
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"name": "Google: Gemini 2.5 Pro Preview 06-05",
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"created": 1749137257,
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"description": "Gemini 2.5 Pro is Google\u2019s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs \u201cthinking\u201d capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.\n",
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"name": "Google: Gemini 2.5 Flash",
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"created": 1750172488,
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"description": "Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in \"thinking\" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. \n\nAdditionally, Gemini 2.5 Flash is configurable through the \"max tokens for reasoning\" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).",
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"context_length": 1048576,
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"architecture": {
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"modality": "text+image->text",
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@@ -21,18 +22,107 @@
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.00000125",
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"completion": "0.00001",
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"prompt": "0.0000003",
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"completion": "0.0000025",
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"request": "0",
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"image": "0.00516",
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"image": "0.001238",
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"web_search": "0",
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"internal_reasoning": "0",
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"input_cache_read": "0.00000031",
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"input_cache_write": "0.000001625"
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"input_cache_read": "0.000000075",
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"input_cache_write": "0.0000003833"
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},
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"top_provider": {
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"context_length": 1048576,
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"max_completion_tokens": 65536,
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"max_completion_tokens": 65535,
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"is_moderated": false
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},
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"per_request_limits": null,
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"supported_parameters": [
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"max_tokens",
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"temperature",
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"top_p",
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"tools",
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"tool_choice",
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"stop",
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"response_format",
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"structured_outputs"
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]
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},
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{
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"id": "openai/o3-pro",
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"canonical_slug": "openai/o3-pro-2025-06-10",
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"hugging_face_id": "",
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"name": "OpenAI: o3 Pro",
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"created": 1749598352,
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"description": "The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers.\n\nNote that BYOK is required for this model. Set up here: https://openrouter.ai/settings/integrations",
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"context_length": 200000,
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"architecture": {
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"modality": "text+image->text",
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"input_modalities": [
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"text",
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"file",
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"image"
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],
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"output_modalities": [
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"text"
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],
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"tokenizer": "Other",
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.00002",
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"completion": "0.00008",
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"request": "0",
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"image": "0.0153",
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"web_search": "0",
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"internal_reasoning": "0"
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},
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"top_provider": {
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"context_length": 200000,
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"max_completion_tokens": 100000,
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"is_moderated": true
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},
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"per_request_limits": null,
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"supported_parameters": [
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"tools",
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"tool_choice",
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"seed",
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"max_tokens",
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"response_format",
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"structured_outputs"
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]
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},
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{
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"id": "x-ai/grok-3-mini",
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"canonical_slug": "x-ai/grok-3-mini",
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"hugging_face_id": "",
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"name": "xAI: Grok 3 Mini",
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"created": 1749583245,
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"description": "A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.",
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"context_length": 131072,
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"architecture": {
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"modality": "text->text",
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"input_modalities": [
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"text"
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],
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"output_modalities": [
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"text"
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],
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"tokenizer": "Grok",
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"instruct_type": null
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},
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"pricing": {
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"prompt": "0.0000003",
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"completion": "0.0000005",
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"request": "0",
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"image": "0",
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"web_search": "0",
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"internal_reasoning": "0",
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"input_cache_read": "0.000000075"
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},
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"top_provider": {
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"context_length": 131072,
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"max_completion_tokens": null,
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"is_moderated": false
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},
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"per_request_limits": null,
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@@ -45,11 +135,11 @@
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"reasoning",
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"include_reasoning",
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"structured_outputs",
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"response_format",
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"stop",
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"frequency_penalty",
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"presence_penalty",
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"seed"
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"seed",
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"logprobs",
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"top_logprobs",
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"response_format"
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]
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}
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]
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