From 426afa45711c5735e6ca2ccdf508ba4b57ee6b06 Mon Sep 17 00:00:00 2001 From: whylabs Date: Tue, 24 Oct 2023 00:11:46 +0000 Subject: [PATCH] Update from https://github.com/whylabs-ai/whylogs-container-python/commit/c4419dfca2367590ceb18757609011e811442ab4 --- .doctrees/environment.pickle | Bin 1033366 -> 1067781 bytes ...hylogs_container.whylabs.container.doctree | Bin 195041 -> 221384 bytes genindex.html | 8 +- objects.inv | Bin 2489 -> 2495 bytes openapi.json | 2 +- searchindex.js | 2 +- whylogs-container-python.html | 100 +++++++++++--- whylogs_container.whylabs.container.html | 122 ++++++++++++++++-- whylogs_container.whylabs.html | 3 +- 9 files changed, 201 insertions(+), 36 deletions(-) diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle index 9fa045f8015ac5dddcb82837e44fb5ed2fff2cd8..82f8539b96ec3a20e998f2ecd6846401e82251b5 100644 GIT binary patch delta 110213 zcmd?Sc|a6L(?9MEu)DK69;o02y5OyV;DPt8QR97UyjTGhL_olUL?al_hzc&+o>4sF 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L

  • log_dict_to_data_frame() (in module whylogs_container.whylabs.actor.profile_actor_messages)
  • log_dict_to_embedding_matrix() (in module whylogs_container.whylabs.actor.profile_actor_messages) -
    • -
  • log_docs() (in module whylogs_container.whylabs.container.routes)
  • log_embedding_request (whylogs_container.whylabs.actor.profile_actor_messages.PubSubEmbeddingDict attribute) +
    • +
  • log_embeddings() (in module whylogs_container.whylabs.container.routes) +
    • +
  • log_embeddings_json() (in module whylogs_container.whylabs.container.routes)
      • -
    • log_embeddings() (in module whylogs_container.whylabs.container.routes) +
    • log_json() (in module whylogs_container.whylabs.container.routes)
    • log_pubsub() (in module whylogs_container.whylabs.container.routes)
      • diff --git a/objects.inv b/objects.inv index b69ebf40b23820bfd05d9322471a079ba4a178c7..d9ef5ca9398272c16b8e43b6a4cb0fe931d2aff1 100644 GIT binary patch delta 2385 zcmV-X39k0J6TcIXhksqomZQ26-p^AwC)u`6?)L8JZug8&`p2=|Gnu>5kwLae10wpF zZfBL($m``vA`oD(@egjKV&h|Dq3=_vN~)3y@xIwcY%Q?Q5=p{@@=?0|J!XN5=;*Jb z_x*p-M#j;f&Hp!l8Qpw2ETLo=ov9=%a$!v<3WdbB>O^ZQaeoxPQ5;Gdiwt6=5?_Wa z8U1z=UTPH)<%}PwgUHCnV~71gO=Dgc2!D0&Sw^YEMQgB-g#$JMmquh$cP@C^nb+ zXWjSUvR}2)lz$*xtth97#2X?u)KW7H7UKcsIABz0xR}V^lvIW>?NL%$b!eeKzH*YN zi15(Zsvi*{KF4yuT6CXPtVO}YrINJg%D?qlxvzMxC)p3&*HoIoBDB-s0A-_Oz}~I4=PqJ`KAGOJsC+^a zE^%c_Cx?bgn*W+tu)Rz0I9wjX26RPK)M$9`x}wc^73yfk z{#e*R(tnN3f7u%vkHfhbDK9|xGy5!uPcRk%U8*%W3w^(i8GI=~8PIr1gCGmLhDFBi z6ng<5rbB5Gf@?{tmQg4+L*OCQ5*U7`AYeo|d3S2LO+#=pPgRiUo=9@98)|>DI>bai zi&UJ5^MSV|{6K$k4xY_SHvQKlxQ}c-E=_Aj|9_=)#O%7?k5I_FLA!{Pz;$07Bea{O zhQcUY>d+xcoB|Mn)0UwqNu5WmLzgg(C@>8$g?Q0UlQ#hvz#71%I^Zw>6+j-)DnU8c zrQ=k(bQkuR7y{q|;YLXZK?0Y19gs{!$`S$0LbBYWEyWTPLphM9YBoja1w>?;n~LiR zZGRsdW%ttr$W&@PIE#Sv6UenV07vx@3{(tAhjcW8ry*&aQck4e@TyVXhT$gtsanp} z(zTxMP*H98hHE>jEl~k65NauW9;W$b3^T518q!VzP+LwDg3_ELth5&G?*%*D8*gCv?~uH*yF!%QI0Hgnfp&ht-vjH6f=C+TH@d}D z1J4g&S7PdKt8nc^hz1JXl^5qksGHgZKKl zz(2nIeDrST_}*K1^YH@TdH3VzyYUbxy-pury!!z%nmjMYv+v#`2&Ku~yL}wvVQA5V zH+jVKg*RKgPVtY);@ivXBBS;&`3gbj@$qRV7zhGS-aqhc{P)-Ke1UJh#oaeNpZqZf zXY%^+pcUoz=VCmE;PNsZKYx1@>`f>5Z{weU3|?kmz30gv-eU6d3_+tDM*t;JQqZEn z6K7*a{^V;B?yx);;qn!kPa$7&tV5qMfBj^gB%mMJTAX&t8J3JiZ=tl^>iT+@^(L2K zZ4Yi(^{P$*U-PVl4I0-xMq`7=70*iaK;xJc2kpc+ZRZu+_biFVKT05rH`ihjS?SEYh~mckV~@4Z4^l``2c1Ggh-Ynr6X z!L2nva?vTxpdSiO2bl(B_pIrD;jhb-zLovX(58Ry92Eak7=JZ&gzOk@cN~jTK=-{`>~m@d>tpK{@)wE1pxRhS{FwKIcOhJX^@>WnwrhJ{t>gy(WY)*AkOAZ9b~$9 zW2YpcenHVvg;9{@vUOS>Z6k3#dPI`-o7Sn~{|@IrTIOMnZ-3L}2;VyAloBo|-jX=V zQ$35!ey0?QD~5$T^q5LghGGsaqJ%{zNkH-Z@>7k>`QW6twzrcg7yK#btV0fmZB|#T zPW4CWdvy(}s}33D`9Czkx(E;bVMqmq!jv2cohweyvC3y)N{p&m2q&b=l8kLq$|Vj1d}ufM#?}Kj1~vN&`$NbDCs9OELhR zIZ6dgI1BnA=aLLSHpiI2iAH0z(dS+>6_`tb57CH`A$ZRX9bXg3|v1oTs*o DRx6gA delta 2379 zcmV-R3AFaV6S)(Rhku>Pa^t!chWGsxN+nyPa<_L!+j6%m9u!ILPTvg*A|Z)ol3*~j zt*r7IdA<820S8c|L=BV)9Bxz+1>*m3cn)Tg@0)GJ)&l!1kt9qgAEn#hV-~20j{ZJ+ z-~ShFWE}mq`2Xf_qnj^>DU=MOGnr&bF3br(aF zqu)-7T$H=qrW7xU^fxrHqJSk8(uQI3j8XQ1nr3 zo`pkK-~rk84813?Ve0d-k{uySamF5HstZhFQW9S>et%)EdD^adyHY@&(K#OKEixVR zM=57M6{6^x=B1)?!vfoKvHl?IqKdbxsJ+&{h|rw|2PzvS1NLsUJa-Wj^r^Ty7M)K> z!X>Uk>10)MrBKSL(A{03M_e(n8m|o{G|hj_E7{&Hcw8I6v^Vq#x)n&c(Bq$!7oci0&g>k4f6lfd=0I0m$9 zq=rJ2O?BuYNt^-z!FkJ2oTSbX>!C}SMidwW%pqQMr^%ZDRA3EZ;|@3sKn;)&XqBKG z>(p^7U3M4tND2UOgYd#h2LXZ2S_dSFNLeC)DJ08#w8kt!S(O8Ms-`K2UO*tzJXBma zXn*_KC_A4fK%r9O;4A|2PoS>FfjFuU!9dM`^pK85@EDTDDdj{e4(}S~Gz{11Pt|g+ zmahGDr;2LTH(c3KZHfwrK&Ykgd6?#lF(4S#_zcDy8uF+yr3&jHO)yYTX`;Zp48Ulq zA&jab3s3`qOt>`(%EMqyNHtn3C;cHtD1XyJ8^9}P1m!tLsI(XDuLV0?8*d?mbfTg7 z&Y)c8&{H7%BcPJF*K_m_F8{Oin zfafc)D>e1ERk(Iy#6k+)nFDu~v^9&iOCqgCxx`TvW10jh3lr(W%7+~K^6F|zkYz*z z5P~WJPPI|q8SgL$(l3eG0&W^kpML~2@hLP;xhh!(9q6csC zi02D$ws@W5ACtwmm)Avx_AvPhf%EwIv@;9@z?1hcJRAS>bv$3-TW@jq4bLZkjKN7> zA0D)$-2PmQ=MXF})A6%6!GGR#g8wo82}tlV`|3SU{_qx)muCnJQ;z^z!XRi<;EA(3 zBfs;t9PY4uFT&+BGM`euFE;+-JvFI(7wo6@~@3LNGBi44~ zhSgrxDdB7Gm9T+v&22O`IIg%?q6dtp+KnPk+`tHSzpbuM@ormudVf%M9c{2dX4Jdi zhSZ}tKtMG%1-rS{4N0`SzXzbe9k=NBt9{j0@XsP#vGU%l(1wzzSYow0{wTzBI(JIt^KQaq z#axOqUpSO&4ksLm?tdPN;#AOmVawG<-Oc&fx|RGzqA;kIHy!Ajz4ztb8CMprKON7e zT)EKaq-HI(P?&@=+ikQiAKc@hd`P81_O#EmSTgHhF2!o|oqsc>gbRwdB#!b8m*xI? zrwHYdg2J78OeHY`B8L%SWKpqHuXuj=sRna?h|pWv+ab)fJLQ~p*hyiV>WVp{{*b;` z$Dl6NAwj+ihXzk8ib~J*?&n$^Vc&Z0;0Fl3M4n2iVf4>;EA$@?^^Fk1*_VVpB)kH-j(9gRSMNw z$c#-BO+S2^+Ap{1t2r*Xkwp)>#Vc109JIZa?2HN(N!O}#noQ2Vj^ZBw(h2H;ENftZ9;OTOJ7+{H{~d zXms=2$bTHo(~TzC*Dt$d0rRs&wG=;S_l%?{7YtW%ZiB(L}MgKOfE9yaDiJ{`D6Cj!wKq@SIBd x*1n6hb`NM6oqf;XS=|dSP5TP!=%R;1oMqTsX}t)fC4NVjujQ6V{|BthhlY4~o0|Xt diff --git a/openapi.json b/openapi.json index d1072a1..80678a5 100644 --- a/openapi.json +++ b/openapi.json @@ -1 +1 @@ -{"openapi":"3.0.2","info":{"title":"FastAPI","version":"0.1.0"},"paths":{"/log":{"post":{"summary":"Log","operationId":"log_log_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log-embeddings":{"post":{"summary":"Log Embeddings","operationId":"log_embeddings_log_embeddings_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log-pubsub":{"post":{"summary":"Log Pubsub","operationId":"log_pubsub_log_pubsub_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log-pubsub-embeddings":{"post":{"summary":"Log Pubsub Embeddings","operationId":"log_pubsub_embeddings_log_pubsub_embeddings_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log_docs":{"post":{"summary":"Log Docs","description":"This endpoint is a bit silly. I can't find an easy way of manually controlling endpoint docs in the generated swagger\nand I can't declare /log's body as LogRequest because that has the side effect of also performing serde automatically,\nwhich performs far too poorly to keep in the server process. This endpoint is just for swagger docs on the body type\nfor convenience, but it shouldn't actually be used.","operationId":"log_docs_log_docs_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/LogRequest"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/chat/completions":{"post":{"summary":"Openai Proxy","operationId":"openai_proxy_v1_chat_completions_post","parameters":[{"required":false,"schema":{"title":"Whylabs Dataset Id","type":"string"},"name":"whylabs_dataset_id","in":"query"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/validations":{"post":{"summary":"Openai Validation","operationId":"openai_validation_v1_validations_post","parameters":[{"required":true,"schema":{"title":"Whylabs Dataset Id","type":"string"},"name":"whylabs_dataset_id","in":"query"},{"required":false,"schema":{"title":"Prompt Id","type":"string"},"name":"prompt_id","in":"query"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"title":"Response Openai Validation V1 Validations Post"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/publish":{"post":{"summary":"Publish Profiles","operationId":"publish_profiles_publish_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/health":{"post":{"summary":"Health","operationId":"health_health_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/logDebugInfo":{"post":{"summary":"Log Debug Info","operationId":"log_debug_info_logDebugInfo_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}}},"components":{"schemas":{"HTTPValidationError":{"title":"HTTPValidationError","type":"object","properties":{"detail":{"title":"Detail","type":"array","items":{"$ref":"#/components/schemas/ValidationError"}}}},"LogMultiple":{"title":"LogMultiple","required":["columns","data"],"type":"object","properties":{"columns":{"title":"Columns","type":"array","items":{"type":"string"}},"data":{"title":"Data","type":"array","items":{"type":"array","items":{"anyOf":[{"type":"string"},{"type":"integer"},{"type":"number"},{"type":"boolean"},{"type":"array","items":{"type":"number"}},{"type":"array","items":{"type":"integer"}},{"type":"array","items":{"type":"string"}}]}}}}},"LogRequest":{"title":"LogRequest","required":["multiple"],"type":"object","properties":{"dataset_id":{"title":"Dataset Id","type":"string"},"timestamp":{"title":"Timestamp","type":"integer"},"multiple":{"$ref":"#/components/schemas/LogMultiple"}}},"ValidationError":{"title":"ValidationError","required":["loc","msg","type"],"type":"object","properties":{"loc":{"title":"Location","type":"array","items":{"anyOf":[{"type":"string"},{"type":"integer"}]}},"msg":{"title":"Message","type":"string"},"type":{"title":"Error Type","type":"string"}}}}}} \ No newline at end of file +{"openapi":"3.0.2","info":{"title":"FastAPI","version":"0.1.0"},"paths":{"/log":{"post":{"summary":"Log","description":"Profile tabular data. The Swagger UI isn't able to call this currently.\n\n## Sample curl request:\n\n```bash\ncurl -X 'POST' -H \"X-API-Key: \" -H \"Content-Type: application/json\" 'http://localhost:8000/log' --data-raw '{\n \"datasetId\": \"model-62\",\n \"multiple\": {\n \"columns\": [ \"age\", \"workclass\", \"fnlwgt\", \"education\" ],\n \"data\": [\n [ 25, \"Private\", 226802, \"11th\" ]\n ]\n }\n}'\n```\n\n## Sample Python request:\n```python\nimport requests\n\n# Define your API key\napi_key = \"\"\n\n# API endpoint\nurl = 'http://localhost:8000/log'\n\n# Sample data\ndata = {\n \"datasetId\": \"model-62\",\n \"multiple\": {\n \"columns\": [\"age\", \"workclass\", \"fnlwgt\", \"education\"],\n \"data\": [\n [25, \"Private\", 226802, \"11th\"]\n ]\n }\n}\n\n# Make the POST request\nheaders = {\"X-API-Key\": api_key}\nresponse = requests.post(url, json=data, headers=headers)\n```","operationId":"log_log_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log/json":{"post":{"summary":"Log Json","description":"Use this endpoint for manually testing and experimenting. It shouldn't be used in production\nbecause it has a steep performance penalty compared to the normal /log endpoint.","operationId":"log_json_log_json_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/LogRequest"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/log-embeddings":{"post":{"summary":"Log Embeddings","description":"This endpoint requires a custom configuration to set up before hand. See https://docs.whylabs.ai/docs/integrations-whylogs-container/ \nfor setting up embeddings support.\n\nLog embeddings data. The Swagger UI isn't able to call this currently.\n\n## Sample curl request:\n\n```bash\ncurl -X 'POST' -H \"X-API-Key: \" -H \"Content-Type: application/json\" 'http://localhost:8000/log-embeddings' --data-raw '{\n \"datasetId\": \"model-62\",\n \"timestamp\": 1634235000,\n \"embeddings\": {\n \"embeddings\": [[0.12, 0.45, 0.33, 0.92]]\n }\n}'\n```\n\n## Sample Python request:\n```python\nimport requests\n\n# Define your API key\napi_key = \"\"\n\n# API endpoint\nurl = 'http://localhost:8000/log-embeddings'\n\n# Sample data\ndata = {\n \"datasetId\": \"model-62\",\n \"timestamp\": 1634235000, # an example timestamp\n \"embeddings\": {\n \"embeddings\": [[0.12, 0.45, 0.33, 0.92]]\n }\n}\n\n# Make the POST request\nheaders = {\"X-API-Key\": api_key, \"Content-Type\": \"application/json\"}\nresponse = requests.post(url, json=data, headers=headers)\n```","operationId":"log_embeddings_log_embeddings_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log-embeddings/json":{"post":{"summary":"Log Embeddings Json","description":"Use this endpoint for manually testing and experimenting. It shouldn't be used in production\nbecause it has a steep performance penalty compared to the normal /log-embeddings endpoint.","operationId":"log_embeddings_json_log_embeddings_json_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/LogEmbeddingRequest"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/log-pubsub":{"post":{"summary":"Log Pubsub","operationId":"log_pubsub_log_pubsub_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/log-pubsub-embeddings":{"post":{"summary":"Log Pubsub Embeddings","operationId":"log_pubsub_embeddings_log_pubsub_embeddings_post","responses":{"200":{"description":"Successful 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"module-whylogs_container.whylabs.llm_validation.schema_builder"]], "whylogs_container.whylabs.llm_validation.signals": [[7, "module-whylogs_container.whylabs.llm_validation.signals"]], "whylogs_container.whylabs.llm_validation.validate": [[7, "module-whylogs_container.whylabs.llm_validation.validate"]], "whylogs_container.whylabs.llm_validation.validation_workflow": [[7, "module-whylogs_container.whylabs.llm_validation.validation_workflow"]], "whylogs_container.whylabs.llm_validation.validators": [[7, "module-whylogs_container.whylabs.llm_validation.validators"]]}}) \ No newline at end of file diff --git a/whylogs-container-python.html b/whylogs-container-python.html index 61bd004..9d5fc0a 100644 --- a/whylogs-container-python.html +++ b/whylogs-container-python.html @@ -487,7 +487,7 @@ -
      Documentation Powered by ReDoc
      Documentation Powered by ReDoc

      FastAPI (0.1.0)

      Download OpenAPI specification:Download

      Log

      Responses

      Response samples

      Content type
      application/json
      null

      Log Embeddings

      Responses

      Response samples

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      application/json
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      Log Pubsub

      Responses

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      application/json
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      Log Pubsub Embeddings

      Responses

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      Content type
      application/json
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      Log Docs

      This endpoint is a bit silly. I can't find an easy way of manually controlling endpoint docs in the generated swagger -and I can't declare /log's body as LogRequest because that has the side effect of also performing serde automatically, -which performs far too poorly to keep in the server process. This endpoint is just for swagger docs on the body type -for convenience, but it shouldn't actually be used.

      + " fill="currentColor">

      FastAPI (0.1.0)

      Download OpenAPI specification:Download

      Log

      Profile tabular data. The Swagger UI isn't able to call this currently.

      +

      Sample curl request:

      +
      curl -X 'POST'     -H "X-API-Key: <password>"     -H "Content-Type: application/json"     'http://localhost:8000/log'     --data-raw '{
+    "datasetId": "model-62",
+    "multiple": {
+        "columns": [ "age", "workclass", "fnlwgt", "education" ],
+        "data": [
+            [ 25, "Private", 226802, "11th" ]
+        ]
+    }
+}'
      +

      Sample Python request:

      +
      import requests
+
+# Define your API key
+api_key = "<password>"
+
+# API endpoint
+url = 'http://localhost:8000/log'
+
+# Sample data
+data = {
+    "datasetId": "model-62",
+    "multiple": {
+        "columns": ["age", "workclass", "fnlwgt", "education"],
+        "data": [
+            [25, "Private", 226802, "11th"]
+        ]
+    }
+}
+
+# Make the POST request
+headers = {"X-API-Key": api_key}
+response = requests.post(url, json=data, headers=headers)
      +

      Responses

      Response samples

      Content type
      application/json
      null

      Log Json

      Use this endpoint for manually testing and experimenting. It shouldn't be used in production +because it has a steep performance penalty compared to the normal /log endpoint.

      Request Body schema: application/json
      dataset_id
      string (Dataset Id)
      timestamp
      integer (Timestamp)
      required
      object (LogMultiple)

      Responses

      Request samples

      Content type
      application/json
      {
      • "dataset_id": "string",
      • "timestamp": 0,
      • "multiple": {
        }
      }

      Response samples

      Content type
      application/json
      null

      Openai Proxy

      query Parameters
      whylabs_dataset_id
      string (Whylabs Dataset Id)

      Responses

      Request samples

      Content type
      application/json
      {
      • "dataset_id": "string",
      • "timestamp": 0,
      • "multiple": {
        }
      }

      Response samples

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      application/json
      null

      Log Embeddings

      This endpoint requires a custom configuration to set up before hand. See https://docs.whylabs.ai/docs/integrations-whylogs-container/ +for setting up embeddings support.

      +

      Log embeddings data. The Swagger UI isn't able to call this currently.

      +

      Sample curl request:

      +
      curl -X 'POST'     -H "X-API-Key: <password>"     -H "Content-Type: application/json"     'http://localhost:8000/log-embeddings'     --data-raw '{
+    "datasetId": "model-62",
+    "timestamp": 1634235000,
+    "embeddings": {
+        "embeddings": [[0.12, 0.45, 0.33, 0.92]]
+    }
+}'
      +

      Sample Python request:

      +
      import requests
+
+# Define your API key
+api_key = "<password>"
+
+# API endpoint
+url = 'http://localhost:8000/log-embeddings'
+
+# Sample data
+data = {
+    "datasetId": "model-62",
+    "timestamp": 1634235000,  # an example timestamp
+    "embeddings": {
+        "embeddings": [[0.12, 0.45, 0.33, 0.92]]
+    }
+}
+
+# Make the POST request
+headers = {"X-API-Key": api_key, "Content-Type": "application/json"}
+response = requests.post(url, json=data, headers=headers)
      +

      Responses

      Response samples

      Content type
      application/json
      null

      Log Embeddings Json

      Use this endpoint for manually testing and experimenting. It shouldn't be used in production +because it has a steep performance penalty compared to the normal /log-embeddings endpoint.

      +
      Request Body schema: application/json
      dataset_id
      string (Dataset Id)
      timestamp
      required
      integer (Timestamp)
      required
      object (Embeddings)

      Responses

      Request samples

      Content type
      application/json
      {
      • "dataset_id": "string",
      • "timestamp": 0,
      • "embeddings": {
        }
      }

      Response samples

      Content type
      application/json
      null

      Log Pubsub

      Responses

      Response samples

      Content type
      application/json
      null

      Log Pubsub Embeddings

      Responses

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      Content type
      application/json
      null

      Openai Proxy

      query Parameters
      whylabs_dataset_id
      string (Whylabs Dataset Id)

      Responses

      Response samples

      Content type
      application/json
      null

      Openai Validation

      query Parameters
      whylabs_dataset_id
      required
      string (Whylabs Dataset Id)
      prompt_id
      string (Prompt Id)

      Responses

      Response samples

      Content type
      application/json
      null

      Openai Validation

      query Parameters
      whylabs_dataset_id
      required
      string (Whylabs Dataset Id)
      prompt_id
      string (Prompt Id)

      Responses

      Response samples

      Content type
      application/json
      null

      Publish Profiles

      Responses

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      application/json
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      Health

      Responses

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      application/json
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      Log Debug Info

      Responses

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      application/json
      null
      +

      Response samples

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      application/json
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      Publish Profiles

      Responses

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      application/json
      null

      Health

      Responses

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      application/json
      null

      Log Debug Info

      Responses

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      application/json
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