Anthropic
I-POST /v1/messages yamukela isicelo ngefomethi ye-Anthropic Messages bese iphendula ngefomethi efanayo, isakazwa noma ingasakazwa. Yisebenzise ne-Anthropic SDK namathuluzi akhelwe kuyo, njenge-Claude Code: setha i-base URL, sebenzisa i-API key yakho ye-Shannon bese uqamba i-id ye-model ye-Shannon.
POST https://api.shannon-ai.com/v1/messages
Khomba i-Anthropic SDK ku-base URL ye-Shannon. I-SDK yengeza i-/v1/messages bese ithumela i-key yakho ku-header ye-x-api-key.
import anthropic
client = anthropic.Anthropic(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com",
)
message = client.messages.create(
model="shannon-3",
max_tokens=1024,
messages=[{"role": "user", "content": "Say hello in one sentence."}],
)
for block in message.content:
if block.type == "text":
print(block.text) import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
apiKey: "YOUR_API_KEY",
baseURL: "https://api.shannon-ai.com",
});
const message = await client.messages.create({
model: "shannon-3",
max_tokens: 1024,
messages: [{ role: "user", content: "Say hello in one sentence." }],
});
for (const block of message.content) {
if (block.type === "text") console.log(block.text);
} curl https://api.shannon-ai.com/v1/messages \
-H "x-api-key: YOUR_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "shannon-3",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Say hello in one sentence."}]
}' Impendulo ingumlayezo onokuthi i-content yawo uhlu lwama-block. Thola ama-block nge-type yawo: uma i-model icabangile, i-block yokuqala ithi thinking bese umbhalo ulandela.
{
"id": "msg_5f0c1e7a9b3d4c62a8e1f07d2b46c9a3",
"type": "message",
"role": "assistant",
"model": "shannon-3",
"content": [
{
"type": "thinking",
"thinking": "The user wants a greeting in one sentence. Keep it short and friendly."
},
{
"type": "text",
"text": "Hello, it is good to meet you."
}
],
"stop_reason": "end_turn",
"usage": {
"input_tokens": 1184,
"output_tokens": 46
}
} Ama-header
| I-header | Inani | Incazelo |
|---|---|---|
x-api-key | YOUR_API_KEY | I-API key yakho. I-Authorization: Bearer YOUR_API_KEY iyamukelwa esikhundleni sayo. |
content-type | application/json | Iyadingeka. |
anthropic-version | 2023-06-01 | Iyamukelwa, ayiphoqelekile. I-Anthropic SDK ithumela i-2023-06-01; impendulo inefomethi efanayo noma ngabe yinaphi inani. |
anthropic-beta | Iyamukelwa, ayiphoqelekile. | |
x-request-id | Ayiphoqelekile. I-id yakho yesicelo. Ibuya ingashintshiwe empendulweni; ngaphandle kwayo impendulo ine-id yezinhlamvu ze-hexadecimal ezingu-12. |
Ama-field esicelo
I-messages kuphela edingekayo. Ikholomu ethi Kusebenza ku- ibala ama-model lapho i-field ishintsha khona impendulo. Ama-model e-open-weight ahlinzekiwe ama-id ayishumi nambili osukwini lwama-model; umndeni we-Shannon 3 ngu-shannon-3, shannon-3-pro, shannon-3.1 no-shannon-3.1-pro. Ama-model namanani
| I-field | Uhlobo | Okuzenzakalelayo | Incazelo | Kusebenza ku- |
|---|---|---|---|---|
model | string | shannon-1.6-lite | I-id ye-model ye-Shannon evela ohlwini lwama-model. Ithumele kuso sonke isicelo. Ukufanisa akunaki ukuhluka phakathi kwezinhlamvu ezinkulu nezincane. Noma yiliphi elinye igama libuyisela 400 unknown model, ngakho ithuluzi elithumela amagama alo e-model kufanele lisethwe ku-id ye-Shannon. | Wonke ama-model |
messages | array | Iyadingeka. Ingxoxo, umlayezo omdala kuqala, ngezindima ze-user ne-assistant. Bheka Imilayezo nama-block okuqukethwe ngezansi. | Wonke ama-model | |
system | string | array | Imiyalo ye-model: i-string, noma uhlu lwama-block ombhalo. Bheka i-System prompt ngezansi. | Ama-model e-open-weight ahlinzekiwe, shannon-1.6-*, shannon-2-*, shannon-coder-1 | |
max_tokens | integer | 4096 | Umkhawulo ophezulu wempendulo, ngama-token. Akuphoqelekile kule endpoint; i-Anthropic SDK iyayithumela njalo. Inani elingaphandle kwe-1 kuya ku-65,536 lisondezwa kulelo cala. Futhi yilona nani elibekelwa eceleni ku-balance yakho ngenkathi isicelo sisebenza. | Ama-model e-open-weight ahlinzekiwe, shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1 |
stream | boolean | false | I-true ithumela impendulo njenge-server-sent events. Bheka i-Streaming ngezansi. | Wonke ama-model |
temperature | number | Izinga lokushisa lokuhlola (sampling temperature). Kuma-model e-open-weight ahlinzekiwe amanani agcinwa phakathi kuka-0 no-2. | Ama-model e-open-weight ahlinzekiwe, shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1 | |
top_p | number | I-nucleus sampling. | Ama-model e-open-weight ahlinzekiwe | |
stop_sequences | array | Kufika kuma-string angu-4. Impendulo iphela ngaphambi kokuqala okubonakala. I-stop_reason ihlala ithi end_turn. | Ama-model e-open-weight ahlinzekiwe | |
tools | array | Amathuluzi i-model engawabiza, ngalinye njenge-{"name", "description", "input_schema"}. Bheka i-Tools ngezansi. | Wonke ama-model | |
tool_choice | object | I-{"type": "auto"} ivumela i-model ukuthi inqume, i-{"type": "any"} iyiphoqa ukuthi ibize ithuluzi, i-{"type": "tool", "name": "…"} iyiphoqa ukuthi ibize lelo thuluzi. | Ama-model e-open-weight ahlinzekiwe | |
thinking | object | Ukuthi i-model icabanga kangakanani ngaphambi kokuphendula. Bheka i-Thinking ngezansi. | Ama-model e-open-weight ahlinzekiwe | |
web_search | boolean | false | Isengezo se-Shannon kufomethi: i-true ivumela i-model ukuthi isesha kuwebhu ngaphambi kokuphendula. | shannon-1.6-*, shannon-2-*, umndeni we-Shannon 3 |
Ngaphandle kwe-max_tokens inani lingu-4,096, futhi lingu-65,536 ku-shannon-coder-1.
Ama-marker e-metadata, top_k, service_tier ne-cache_control kuma-block ayamukelwa ukuze ikhodi yeklayenti esekhona isebenze ngaphandle kokushintshwa. Awashintshi impendulo; i-prompt caching kuma-model e-open-weight ahlinzekiwe iyazenzakalela.
Impendulo ye-JSON ngokwe-schema icelwa nge-response_format ku-Chat Completions nge-text.format ku-Responses. Imiphumela ehlanganisiwe
Isicelo esinesistimu prompt ne-thinking
Lesi sicelo sithumela i-system prompt, isabelomali se-thinking, izinga lokushisa ne-stop sequence. Sisebenzisa i-model ye-open-weight ehlinzekiwe, esebenzisa zonke lezi.
import anthropic
client = anthropic.Anthropic(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com",
)
message = client.messages.create(
model="DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
max_tokens=4096,
system="You are a physics teacher. Answer in two sentences.",
thinking={"type": "enabled", "budget_tokens": 2048},
temperature=0.3,
stop_sequences=["\n\n"],
messages=[{"role": "user", "content": "Why is the sky blue?"}],
)
for block in message.content:
if block.type == "thinking":
print("reasoning:", block.thinking)
elif block.type == "text":
print("answer:", block.text)
print(message.usage) import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
apiKey: "YOUR_API_KEY",
baseURL: "https://api.shannon-ai.com",
});
const message = await client.messages.create({
model: "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
max_tokens: 4096,
system: "You are a physics teacher. Answer in two sentences.",
thinking: { type: "enabled", budget_tokens: 2048 },
temperature: 0.3,
stop_sequences: ["\n\n"],
messages: [{ role: "user", content: "Why is the sky blue?" }],
});
for (const block of message.content) {
if (block.type === "thinking") console.log("reasoning:", block.thinking);
if (block.type === "text") console.log("answer:", block.text);
}
console.log(message.usage); curl https://api.shannon-ai.com/v1/messages \
-H "x-api-key: YOUR_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
"max_tokens": 4096,
"system": "You are a physics teacher. Answer in two sentences.",
"thinking": {"type": "enabled", "budget_tokens": 2048},
"temperature": 0.3,
"stop_sequences": ["\n\n"],
"messages": [{"role": "user", "content": "Why is the sky blue?"}]
}' Kuma-model e-open-weight ahlinzekiwe i-usage ibika ama-token afundwe ku-prompt cache ngokwehlukana namanye ama-token okufakwayo.
{
"usage": {
"input_tokens": 31,
"cache_read_input_tokens": 0,
"cache_creation_input_tokens": 0,
"output_tokens": 62
}
} I-System prompt
I-system iyi-string, noma uhlu lwama-block ombhalo ngefomu elithi [{"type": "text", "text": "…"}]. Imibhalo yama-block ihlanganiswa ngomugqa omusha.
Isetshenziswa ngama-model e-open-weight ahlinzekiwe, i-shannon-1.6-lite, i-shannon-1.6-pro, i-shannon-2-lite, i-shannon-2-pro ne-shannon-coder-1. Nge-id yomndeni we-Shannon 3, faka imiyalo okufanele ilandelwe emlayezweni womsebenzisi.
Imilayezo nama-block okuqukethwe
Umlayezo unalo i-role, i-user noma i-assistant, kanye ne-content. I-content iyisikhwama sombhalo, noma uhlu lwama-block.
| I-block | Incazelo | Kuyatholakala ku- |
|---|---|---|
{"type": "text", "text": "…"} | Umbhalo. | Wonke ama-model |
{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": "…"}}{"type": "image", "source": {"type": "url", "url": "…"}} | Isithombe emlayezweni we-user, nge-base64 noma nge-URL. | Umndeni we-Shannon 3, shannon-1.6-lite, shannon-1.6-pro, nama-model e-open-weight ahlinzekiwe abala okufakwayo kwezithombe |
{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "…"}} | Idokhumenti (PDF, Word, PowerPoint noma Excel) emlayezweni we-user, nge-base64 noma nge-URL. | Umndeni we-Shannon 3 |
{"type": "tool_use", "id": "toolu_…", "name": "…", "input": {…}} | Emlayezweni we-assistant: ukubiza ithuluzi i-model ekwenze empendulweni yangaphambilini. | Wonke ama-model |
{"type": "tool_result", "tool_use_id": "toolu_…", "content": "…"} | Emlayezweni we-user: umphumela walowo mbiza. I-content iyisikhwama sombhalo, noma uhlu lwama-block ombhalo. | Wonke ama-model |
Ungathumela futhi i-content yempendulo yangaphambilini njengoba injalo: ama-block e-text ne-tool_use ayafundwa, ama-block e-thinking ayeqiwa.
Emazingeni e-Shannon izithombe namadokhumenti kufundwa emlayezweni wokugcina we-user. Osayizi nemikhawulo banekhasi labo. Izithombe namafayela
I-Thinking
Ama-model e-open-weight ahlinzekiwe ahambisanisa i-thinking nomzamo wokucabanga. Ngaphandle kwe-field umzamo uphezulu.
| Ifomu | budget_tokens | Umphumela |
|---|---|---|
{"type": "disabled"} | Akukho kucabanga. Impendulo ayinayo i-block ye-thinking. | |
{"type": "enabled", "budget_tokens": 2048} | ≤ 2,048 | Umzamo ophansi. |
{"type": "enabled", "budget_tokens": 8192} | ≤ 8,192 | Umzamo ophakathi nendawo. |
{"type": "enabled", "budget_tokens": 16000} | > 8,192 | Umzamo ophezulu. |
I-model ecabangayo ibuyisela ukucabanga kwayo njenge-block {"type": "thinking", "thinking": "…"} ngaphambi kombhalo. Amazinga e-Shannon acabangayo nawo ayakuthumela.
Imizamo ichazwe ekhasini layo. Umzamo wokucabanga
Amathuluzi
Ithuluzi ngumsebenzi osetshenziswa yikhodi yakho. Chaza ngalinye nge-name, i-description ne-input_schema. Uma i-model idinga ithuluzi, impendulo iqukethe i-block ye-tool_use futhi i-stop_reason ithi tool_use.
Incazelo yethuluzi ku-tools:
[
{
"name": "get_weather",
"description": "Current weather for a city.",
"input_schema": {
"type": "object",
"properties": {
"city": {
"type": "string"
}
},
"required": [
"city"
]
}
}
] I-content yempendulo ebiza ithuluzi:
[
{
"type": "text",
"text": ""
},
{
"type": "tool_use",
"id": "toolu_3d9a7c1e5b2f4a60c8e1d7f09b24a6c5",
"name": "get_weather",
"input": {
"city": "Paris"
}
}
] Sebenzisa ithuluzi, bese uthumela isicelo futhi nokubiza kanye ne-block ye-tool_result eyengeziwe ku-messages:
[
{
"role": "user",
"content": "What is the weather in Paris?"
},
{
"role": "assistant",
"content": [
{
"type": "tool_use",
"id": "toolu_3d9a7c1e5b2f4a60c8e1d7f09b24a6c5",
"name": "get_weather",
"input": {
"city": "Paris"
}
}
]
},
{
"role": "user",
"content": [
{
"type": "tool_result",
"tool_use_id": "toolu_3d9a7c1e5b2f4a60c8e1d7f09b24a6c5",
"content": "{\"temperature_c\": 18, \"sky\": \"cloudy\"}"
}
]
}
] tool_choice
| Ifomu | Umphumela | Kusebenza ku- |
|---|---|---|
{"type": "auto"} | I-model inquma ukuthi ibize ithuluzi yini. Lokhu kuyisimiso. | Wonke ama-model |
{"type": "any"} | I-model kufanele ibize elinye lamathuluzi. | Ama-model e-open-weight ahlinzekiwe |
{"type": "tool", "name": "…"} | I-model kufanele ibize ithuluzi elinegama elidingiwe. | Ama-model e-open-weight ahlinzekiwe |
Amathuluzi kuphela anale input_schema ayafundwa. Ukusesha kuwebhu akulona ithuluzi kule endpoint: setha i-field ye-web_search.
Isiyingi sethuluzi sichazwe ngokugcwele ekhasini laso. Ukubiza umsebenzi
Impendulo
| I-field | Uhlobo | Incazelo | Kuthunyelwe ngu- |
|---|---|---|---|
id | string | I-msg_ elandelwa yizinhlamvu ze-hexadecimal ezingu-32. | Wonke ama-model |
type | string | Njalo message. | Wonke ama-model |
role | string | Njalo assistant. | Wonke ama-model |
model | string | I-id ye-canonical ye-model ephendulile. | Wonke ama-model |
content | array | Ama-block empendulo, ngalolu hlelo: i-thinking uma i-model icabangile, i-text, bese i-tool_use eyodwa ekubizeni ithuluzi ngalinye. | Wonke ama-model |
stop_reason | string | Isizathu sokuthi impendulo iphele. Bheka amanani ngezansi. | Wonke ama-model |
usage | object | I-input_tokens ne-output_tokens. | Wonke ama-model |
sources | array | Kuphela esicelweni esine-web_search: true okusesha kwaso kuthole okuthile: imiphumela i-model eyinikeziwe, ngayinye ine-index, title ne-url. I-[1] empendulweni yilokho okufakiwe okune-index 1. Ku-stream ifika nomcimbi we-message_delta. | shannon-1.6-*, shannon-2-*, umndeni we-Shannon 3 |
usage.cache_read_input_tokens | integer | I-cache_read_input_tokens yingxenye ye-prompt efundwe ku-cache; i-input_tokens yinsalela. I-cache_creation_input_tokens njalo ngu-0. | Ama-model e-open-weight ahlinzekiwe |
Ama-block empendulo
| I-block | Incazelo |
|---|---|
{"type": "thinking", "thinking": "…"} | Ukucabanga kwe-model. Akukho ilungu le-signature. |
{"type": "text", "text": "…"} | Umbhalo wempendulo. Ungase ungabi nalutho uma impendulo iwukubiza ithuluzi. |
{"type": "tool_use", "id": "toolu_…", "name": "…", "input": {…}} | Ukubiza ithuluzi. I-input iyinto ye-JSON. Thumela umphumela futhi nge-id efanayo. |
stop_reason
| stop_reason | Incazelo | Kuthunyelwe ngu- |
|---|---|---|
end_turn | I-model iqedile impendulo yayo, noma enye yama-stop_sequences akho ivelile. | Wonke ama-model |
tool_use | Impendulo iqukethe ukubiza ithuluzi eyodwa noma ngaphezulu. | Wonke ama-model |
max_tokens | Impendulo inqunyiwe emkhawulweni wokuphumayo. | Umndeni we-Shannon 3, shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1, kuma-stream |
I-Streaming
Setha i-stream ibe true ukuthola ama-server-sent events. I-frame ngayinye inomugqa we-event: onegama lomcimbi nomugqa we-data: one-JSON object ephindaphinda igama ku-type. Abasizi be-stream be-Anthropic SDK bayawafunda lama-event ngawe:
import anthropic
client = anthropic.Anthropic(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com",
)
with client.messages.stream(
model="shannon-3",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain server-sent events in three sentences."}],
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
message = stream.get_final_message()
print()
print(message.stop_reason, message.usage) import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
apiKey: "YOUR_API_KEY",
baseURL: "https://api.shannon-ai.com",
});
const stream = client.messages.stream({
model: "shannon-3",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain server-sent events in three sentences." }],
});
stream.on("text", (text) => process.stdout.write(text));
const message = await stream.finalMessage();
console.log("\n", message.stop_reason, message.usage); curl -N https://api.shannon-ai.com/v1/messages \
-H "x-api-key: YOUR_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "shannon-3",
"max_tokens": 1024,
"stream": true,
"messages": [{"role": "user", "content": "Explain server-sent events in three sentences."}]
}' Imicimbi, ngokulandelana efika ngakho:
| Umcimbi | Idatha | Nini |
|---|---|---|
message_start | message | Njalo kuqala. I-message iqukethe i-id, indima, i-model, i-content engenalutho ne-usage eqala ku-zero. |
content_block_start | index, content_block | I-block iyavuleka. I-content_block iyi-block ye-text noma ye-thinking engenalutho, noma i-block ye-tool_use ene-id ne-name yayo. |
content_block_delta | index, delta {"type": "thinking_delta", "thinking"} | Ucezu lokucabanga, lwe-block ye-thinking. |
content_block_delta | index, delta {"type": "text_delta", "text"} | Ucezu lwempendulo, lwe-block ye-text. |
content_block_delta | index, delta {"type": "input_json_delta", "partial_json"} | Izimpikiswano zokubiza ithuluzi, ziphelele ku-delta eyodwa, ku-block ye-tool_use. |
content_block_stop | index | I-block enale index isiphelile. |
message_delta | delta {stop_reason, stop_sequence}, usage | Ukuphela kwempendulo: i-delta.stop_reason, ne-usage yesicelo. |
message_stop | Njalo kugcina. |
Ama-block abalwa nge-index ngokulandelana avuleka ngakho, futhi i-block eyodwa iyaqeda ngaphambi kokuvuleka kwelandelayo. Funda i-block ngayinye ngohlobo lwayo, hhayi ngenombolo yayo: i-stream ingase ivule kuqala i-block ye-text engenalutho, bese i-block ye-thinking, bese iletha impendulo ku-block ye-text yakamuva.
event: message_start
data: {"type":"message_start","message":{"id":"msg_5f0c…","type":"message","role":"assistant","model":"shannon-3","content":[],"usage":{"input_tokens":0,"output_tokens":0}}}
event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
event: content_block_stop
data: {"type":"content_block_stop","index":0}
event: content_block_start
data: {"type":"content_block_start","index":1,"content_block":{"type":"thinking","thinking":""}}
event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"thinking_delta","thinking":"Three sentences: what it is, how it is framed, why it is used."}}
event: ping
data: {"type": "ping"}
event: content_block_stop
data: {"type":"content_block_stop","index":1}
event: content_block_start
data: {"type":"content_block_start","index":2,"content_block":{"type":"text","text":""}}
event: content_block_delta
data: {"type":"content_block_delta","index":2,"delta":{"type":"text_delta","text":"Server-sent events let a server push text over one HTTP reply."}}
event: content_block_stop
data: {"type":"content_block_stop","index":2}
event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":1190,"output_tokens":84}}
event: message_stop
data: {"type":"message_stop"} I-Keep-alive
| Kuthunyelwe ngu- | Incazelo |
|---|---|
Umndeni we-Shannon 3, shannon-1.6-lite, shannon-1.6-pro, shannon-coder-1 | Umcimbi we-ping onedatha {"type": "ping"}, njalo emizuzwana engu-15. |
| Ama-model e-open-weight ahlinzekiwe | Umugqa wokuphawula : keepalive, njalo emizuzwana engu-15 ngenkathi i-model isebenza. |
I-stream ehlulekayo
Ukohluleka ngemva kokuqala kwe-stream kuwumcimbi we-error onomzimba ofanayo nempendulo yephutha: {"type": "error", "error": {"type", "message"}}. Imicimbi yokuvala, i-message_delta ne-message_stop, isalandela. Thatha impendulo njengehlulekile bese uthumela isicelo futhi.
Amaphutha
Amaphutha asebenzisa umzimba wephutha we-Anthropic: i-type ithi error, nento ye-error iqukethe i-type ne-message. ithebula lokho lesi sihlokwana ebuyisela kaningi. Uhlu olugcwele, nalokho okufanele kuzanywe futhi, lunekhasi lalo. Ukuphathwa kwamaphutha
{
"type": "error",
"error": {
"type": "invalid_request_error",
"message": "unknown model: no-such-model"
}
} | Isimo | Uhlobo | Umlayezo | Nini |
|---|---|---|---|
401 | authentication_error | Missing authenticationInvalid API key | Ayikho i-API key ethunyelwe, noma i-key ayaziwa noma ihoxisiwe. |
400 | invalid_request_error | unknown model: <id> | I-model ayiyona i-id ye-model ye-Shannon. |
400 | invalid_request_error | No user message provided | Amazinga e-Shannon: isicelo asinawo umbhalo womsebenzisi futhi asinawo ama-tools. |
400 | invalid_request_error | <id> does not accept image input | Isithombe sithunyelwe ku-model ye-open-weight ehlinzekiwe engenakho ukufakwa kwezithombe. |
422 | invalid_request_error | Failed to deserialize the JSON body into the target type: … | I-messages ilahlekile, noma i-field inohlobo olungalungile lwe-JSON. |
429 | rate_limit_error | Quota exceeded. Upgrade your plan at shannon-ai.com/plan | I-max_tokens inkulu kunalokho okusele ku-balance yakho. |
429 | rate_limit_error | Too many requests. Retry in <n>s. | I-flood protection: izicelo ezingaphezu kwe-120 ngomzuzu owodwa ku-akhawunti yakho. |
429 | rate_limit_error | Shannon Coder call quota reached. Upgrade your plan at shannon-ai.com/plan | shannon-coder-1: izicelo ze-Shannon Coder zepulani yakho zewindi lamahora angu-4 lamanje sezisetshenzisiwe. |
500 | server_error | The model backend failed to answer. Please retry. | I-model ayikhiqizanga mpendulo. Thumela isicelo futhi. |
502 | api_error | The model backend failed to answer. Please retry. | I-model ayikhiqizanga mpendulo. Thumela isicelo futhi. |
Ukubala ama-token
I-POST /v1/messages/count_tokens yamukela umzimba ofanayo nesicelo somlayezo (model, system, messages, tools) futhi ibuyisela {"input_tokens": n}: inani lama-token okufakwayo isicelo esizobiziswa ngawo. Ibala kuma-model e-open-weight ahlinzekiwe, ayibizi futhi ayibalwa yi-flood protection.
import anthropic
client = anthropic.Anthropic(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com",
)
count = client.messages.count_tokens(
model="DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
system="You are a physics teacher. Answer in two sentences.",
messages=[{"role": "user", "content": "Why is the sky blue?"}],
)
print(count.input_tokens) import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
apiKey: "YOUR_API_KEY",
baseURL: "https://api.shannon-ai.com",
});
const count = await client.messages.countTokens({
model: "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
system: "You are a physics teacher. Answer in two sentences.",
messages: [{ role: "user", content: "Why is the sky blue?" }],
});
console.log(count.input_tokens); curl https://api.shannon-ai.com/v1/messages/count_tokens \
-H "x-api-key: YOUR_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "DeepSeek-V4-Flash-0731-W4A16-AUTOROUND-REAP",
"system": "You are a physics teacher. Answer in two sentences.",
"messages": [{"role": "user", "content": "Why is the sky blue?"}]
}'
# {"input_tokens": 31} Ukubala kunekhasi lakho, elinendawo yokugcina yombhalo olula nemikhawulo. Ukubala ama-token