replicate-mcp
v0.9.0Official MCP server for Replicate's HTTP API
351
Total
21
Critical
115
High
215
Medium
Findings
unknownCurl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
19: name: 'create_predictions',
20: description:
>>> 21: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
22: inputSchema: {
23: type: 'object',Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
78: const readEnv = (env) => {
79: if (typeof globalThis.process !== 'undefined') {
>>> 80: return globalThis.process.env?.[env]?.trim();
81: }
82: else if (typeof globalThis.Deno !== 'undefined') {Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_deployments_predictions',
>>> 13: description: 'Create a prediction for the deployment and inputs you provide.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "A photo of a bear riding a bicycle over the moon"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
14: inputSchema: {
15: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_models_predictions',
>>> 13: description: 'Create a prediction using an [official model](https://replicate.com/changelog/2025-01-29-official-models).\n\nIf you\'re _not_ running an official model, use the [`predictions.create`](#predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "Write a short poem about the weather."}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/meta/meta-llama-3-70b-instruct/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
14: inputSchema: {
15: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
19: name: 'create_trainings',
20: description:
>>> 21: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
22: inputSchema: {
23: type: 'object',Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
81: }
82: else if (typeof globalThis.Deno !== 'undefined') {
>>> 83: return globalThis.Deno.env?.get?.(env)?.trim();
84: }
85: return;Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
105: export const readEnv = (env: string): string | undefined => {
106: if (typeof (globalThis as any).process !== 'undefined') {
>>> 107: return (globalThis as any).process.env?.[env]?.trim();
108: } else if (typeof (globalThis as any).Deno !== 'undefined') {
109: return (globalThis as any).Deno.env?.get?.(env)?.trim();Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_trainings',
>>> 16: description: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
17: inputSchema: {
18: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_predictions',
>>> 13: description: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
14: inputSchema: {
15: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_trainings',
>>> 13: description: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
14: inputSchema: {
15: type: 'object',Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
107: return (globalThis as any).process.env?.[env]?.trim();
108: } else if (typeof (globalThis as any).Deno !== 'undefined') {
>>> 109: return (globalThis as any).Deno.env?.get?.(env)?.trim();
110: }
111: return;Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
68: export const readEnv = (env) => {
69: if (typeof globalThis.process !== 'undefined') {
>>> 70: return globalThis.process.env?.[env]?.trim();
71: }
72: else if (typeof globalThis.Deno !== 'undefined') {Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
19: name: 'cancel_predictions',
20: description:
>>> 21: 'Cancel a prediction that is currently running.\n\nExample cURL request that creates a prediction and then cancels it:\n\n```console\n# First, create a prediction\nPREDICTION_ID=$(curl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "input": {\n "prompt": "a video that may take a while to generate"\n }\n }\' \\\n https://api.replicate.com/v1/models/minimax/video-01/predictions | jq -r \'.id\')\n\n# Echo the prediction ID\necho "Created prediction with ID: $PREDICTION_ID"\n\n# Cancel the prediction\ncurl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/$PREDICTION_ID/cancel\n```\n',
22: inputSchema: {
23: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_models_predictions',
>>> 16: description: 'Create a prediction using an [official model](https://replicate.com/changelog/2025-01-29-official-models).\n\nIf you\'re _not_ running an official model, use the [`predictions.create`](#predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "Write a short poem about the weather."}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/meta/meta-llama-3-70b-instruct/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
17: inputSchema: {
18: type: 'object',Environment file access
Detected by automated pattern matching (rule DE-002) with medium confidence. May be a false positive.
71: }
72: else if (typeof globalThis.Deno !== 'undefined') {
>>> 73: return globalThis.Deno.env?.get?.(env)?.trim();
74: }
75: return;Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
19: name: 'create_deployments_predictions',
20: description:
>>> 21: 'Create a prediction for the deployment and inputs you provide.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "A photo of a bear riding a bicycle over the moon"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
22: inputSchema: {
23: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'cancel_predictions',
>>> 16: description: 'Cancel a prediction that is currently running.\n\nExample cURL request that creates a prediction and then cancels it:\n\n```console\n# First, create a prediction\nPREDICTION_ID=$(curl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "input": {\n "prompt": "a video that may take a while to generate"\n }\n }\' \\\n https://api.replicate.com/v1/models/minimax/video-01/predictions | jq -r \'.id\')\n\n# Echo the prediction ID\necho "Created prediction with ID: $PREDICTION_ID"\n\n# Cancel the prediction\ncurl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/$PREDICTION_ID/cancel\n```\n',
17: inputSchema: {
18: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_deployments_predictions',
>>> 16: description: 'Create a prediction for the deployment and inputs you provide.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "A photo of a bear riding a bicycle over the moon"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
17: inputSchema: {
18: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'cancel_predictions',
>>> 13: description: 'Cancel a prediction that is currently running.\n\nExample cURL request that creates a prediction and then cancels it:\n\n```console\n# First, create a prediction\nPREDICTION_ID=$(curl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "input": {\n "prompt": "a video that may take a while to generate"\n }\n }\' \\\n https://api.replicate.com/v1/models/minimax/video-01/predictions | jq -r \'.id\')\n\n# Echo the prediction ID\necho "Created prediction with ID: $PREDICTION_ID"\n\n# Cancel the prediction\ncurl -s -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/$PREDICTION_ID/cancel\n```\n',
14: inputSchema: {
15: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_predictions',
>>> 16: description: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
17: inputSchema: {
18: type: 'object',Curl POST with variable interpolation (data exfiltration)
Detected by automated pattern matching (rule DE-010) with medium confidence. May be a false positive.
19: name: 'create_models_predictions',
20: description:
>>> 21: 'Create a prediction using an [official model](https://replicate.com/changelog/2025-01-29-official-models).\n\nIf you\'re _not_ running an official model, use the [`predictions.create`](#predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"input": {"prompt": "Write a short poem about the weather."}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/meta/meta-llama-3-70b-instruct/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `deployments.predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
22: inputSchema: {
23: type: 'object',Decoded base64 content: p=2023-06-06+23%3A40%3A08.963000%2B00%3A00
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: u��m�}y��m�����}�}�;����}]���k�����ߍt�W���[��
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: u��m�}y��m�����}�}�;����}]���k�����ߍt�W���[��
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �{-��-���v'-���
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �����:u��\էk�z��{�|�9o��Ӧ����w�g=m�yqƚ
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �����:u��\էk�z��{�|�9o��Ӧ����w�g=m�yqƚ
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �����:u��\էk�z��{�|�9o��Ӧ����w�g=m�yqƚ
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �� ���{�:� ߍ �^�{}����i��k}�{� {�_{}_���}v�
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �� ���{�:� ߍ �^�{}����i��k}�{� {�_{}_���}v�
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �����:u��\էk�z��{�|�9o��Ӧ����w�g=m�yqƚ
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
Report false positiveDecoded base64 content: �����:u��\էk�z��{�|�9o��Ӧ����w�g=m�yqƚ
Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule DO-BAS) with medium confidence. May be a false positive.
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Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.3 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'create_deployments',
20: description:
>>> 21: 'Create a new deployment:\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "name": "my-app-image-generator",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "hardware": "gpu-t4",\n "min_instances": 0,\n "max_instances": 3\n }\' \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'get_deployments',
20: description:
>>> 21: 'Get information about a deployment by name including the current release.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments/replicate/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'list_deployments',
20: description:
>>> 21: 'Get a list of deployments associated with the current account, including the latest release configuration for each deployment.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a paginated JSON array of deployment objects, sorted with the most recent deployment first:\n\n```json\n{\n "next": "http://api.replicate.com/v1/deployments?cursor=cD0yMDIzLTA2LTA2KzIzJTNBNDAlM0EwOC45NjMwMDAlMkIwMCUzQTAw",\n "previous": null,\n "results": [\n {\n "owner": "replicate",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n }\n ]\n}\n```\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'update_deployments',
20: description:
>>> 21: 'Update properties of an existing deployment, including hardware, min/max instances, and the deployment\'s underlying model [version](https://replicate.com/docs/how-does-replicate-work#versions).\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X PATCH \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{"min_instances": 3, "max_instances": 10}\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 2,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 3,\n "max_instances": 10\n }\n }\n}\n```\n\nUpdating any deployment properties will increment the `number` field of the `current_release`.\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.1 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.9 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'delete_models_versions',
20: description:
>>> 21: 'Delete a model version and all associated predictions, including all output files.\n\nModel version deletion has some restrictions:\n\n- You can only delete versions from models you own.\n- You can only delete versions from private models.\n- You cannot delete a version if someone other than you has run predictions with it.\n- You cannot delete a version if it is being used as the base model for a fine tune/training.\n- You cannot delete a version if it has an associated deployment.\n- You cannot delete a version if another model version is overridden to use it.\n\nExample cURL request:\n\n```command\ncurl -s -X DELETE \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be an empty 202, indicating the deletion request has been accepted. It might take a few minutes to be processed.\n',
22: inputSchema: {
23: type: 'object',High-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'get_models_versions',
20: description:
>>> 21: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be the version object:\n\n```json\n{\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n}\n```\n\nEvery model describes its inputs and outputs with [OpenAPI Schema Objects](https://spec.openapis.org/oas/latest.html#schemaObject) in the `openapi_schema` property.\n\nThe `openapi_schema.components.schemas.Input` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "object",\n "title": "Input",\n "required": [\n "text"\n ],\n "properties": {\n "text": {\n "x-order": 0,\n "type": "string",\n "title": "Text",\n "description": "Text to prefix with \'hello \'"\n }\n }\n}\n```\n\nThe `openapi_schema.components.schemas.Output` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "string",\n "title": "Output"\n}\n```\n\nFor more details, see the docs on [Cog\'s supported input and output types](https://github.com/replicate/cog/blob/75b7802219e7cd4cee845e34c4c22139558615d4/docs/python.md#input-and-output-types)\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'list_models_versions',
20: description:
>>> 21: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions\n```\n\nThe response will be a JSON array of model version objects, sorted with the most recent version first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n }\n ]\n}\n```\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'create_predictions',
20: description:
>>> 21: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
22: inputSchema: {
23: type: 'object',Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
31: type: 'string',
32: description:
>>> 33: 'The ID of the model version that you want to run. This can be specified in two formats:\n\n1. Just the 64-character version ID: `9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n2. Full model identifier with version ID in the format `{owner}/{model}:{id}`. For example, `replicate/hello-world:9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n',
34: },
35: stream: {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
46: type: 'array',
47: description:
>>> 48: 'By default, we will send requests to your webhook URL whenever there are new outputs or the prediction has finished. You can change which events trigger webhook requests by specifying `webhook_events_filter` in the prediction request:\n\n- `start`: immediately on prediction start\n- `output`: each time a prediction generates an output (note that predictions can generate multiple outputs)\n- `logs`: each time log output is generated by a prediction\n- `completed`: when the prediction reaches a terminal state (succeeded/canceled/failed)\n\nFor example, if you only wanted requests to be sent at the start and end of the prediction, you would provide:\n\n```json\n{\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "webhook": "https://example.com/my-webhook",\n "webhook_events_filter": ["start", "completed"]\n}\n```\n\nRequests for event types `output` and `logs` will be sent at most once every 500ms. If you request `start` and `completed` webhooks, then they\'ll always be sent regardless of throttling.\n',
49: items: {
50: type: 'string',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'get_predictions',
20: description:
>>> 21: 'Get the current state of a prediction.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu\n```\n\nThe response will be the prediction object:\n\n```json\n{\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "logs": "",\n "output": "hello Alice",\n "error": null,\n "status": "succeeded",\n "created_at": "2023-09-08T16:19:34.765994Z",\n "data_removed": false,\n "started_at": "2023-09-08T16:19:34.779176Z",\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "metrics": {\n "predict_time": 0.012683\n },\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n }\n}\n```\n\n`status` will be one of:\n\n- `starting`: the prediction is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the prediction.\n- `processing`: the `predict()` method of the model is currently running.\n- `succeeded`: the prediction completed successfully.\n- `failed`: the prediction encountered an error during processing.\n- `canceled`: the prediction was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the prediction.\n\nTerminated predictions (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won\'t include time waiting for the prediction to start.\n\nAll input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.\n\nYou must save a copy of any data or files in the output if you\'d like to continue using them. The `output` key will still be present, but it\'s value will be `null` after the output has been removed.\n\nOutput files are served by `replicate.delivery` and its subdomains. If you use an allow list of external domains for your assets, add `replicate.delivery` and `*.replicate.delivery` to it.\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'list_predictions',
20: description:
>>> 21: 'Get a paginated list of all predictions created by the user or organization associated with the provided API token.\n\nThis will include predictions created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions\n```\n\nThe response will be a paginated JSON array of prediction objects, sorted with the most recent prediction first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "created_at": "2023-09-08T16:19:34.907244Z",\n "data_removed": false,\n "error": null,\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "input": {\n "text": "Alice"\n },\n "metrics": {\n "predict_time": 0.012683\n },\n "output": "hello Alice",\n "started_at": "2023-09-08T16:19:34.779176Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n },\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the prediction.\n\n`source` will indicate how the prediction was created. Possible values are `web` or `api`.\n\n`status` will be the status of the prediction. Refer to [get a single prediction](#predictions.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given prediction. If the requested model version supports streaming, this will have a `stream` entry with an HTTPS URL that you can use to construct an [`EventSource`](https://developer.mozilla.org/en-US/docs/Web/API/EventSource).\n\n`model` will be the model identifier string in the format of `{model_owner}/{model_name}`.\n\n`version` will be the unique ID of model version used to create the prediction.\n\n`data_removed` will be `true` if the input and output data has been deleted.\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'create_trainings',
20: description:
>>> 21: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'get_trainings',
20: description:
>>> 21: 'Get the current state of a training.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga\n```\n\nThe response will be the training object:\n\n```json\n{\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "...",\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n}\n```\n\n`status` will be one of:\n\n- `starting`: the training is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the training.\n- `processing`: the `train()` method of the model is currently running.\n- `succeeded`: the training completed successfully.\n- `failed`: the training encountered an error during processing.\n- `canceled`: the training was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the training.\n\nTerminated trainings (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the training used while running. It won\'t include time waiting for the training to start.\n',
22: inputSchema: {
23: type: 'object',Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
19: name: 'list_trainings',
20: description:
>>> 21: 'Get a paginated list of all trainings created by the user or organization associated with the provided API token.\n\nThis will include trainings created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings\n```\n\nThe response will be a paginated JSON array of training objects, sorted with the most recent training first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the training.\n\n`source` will indicate how the training was created. Possible values are `web` or `api`.\n\n`status` will be the status of the training. Refer to [get a single training](#trainings.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given training.\n\n`version` will be the unique ID of model version used to create the training.\n',
22: inputSchema: {
23: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_deployments',
>>> 16: description: 'Create a new deployment:\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "name": "my-app-image-generator",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "hardware": "gpu-t4",\n "min_instances": 0,\n "max_instances": 3\n }\' \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_deployments',
>>> 13: description: 'Create a new deployment:\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X POST \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{\n "name": "my-app-image-generator",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "hardware": "gpu-t4",\n "min_instances": 0,\n "max_instances": 3\n }\' \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'get_deployments',
>>> 16: description: 'Get information about a deployment by name including the current release.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments/replicate/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'get_deployments',
>>> 13: description: 'Get information about a deployment by name including the current release.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments/replicate/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n}\n```\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'list_deployments',
>>> 16: description: 'Get a list of deployments associated with the current account, including the latest release configuration for each deployment.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a paginated JSON array of deployment objects, sorted with the most recent deployment first:\n\n```json\n{\n "next": "http://api.replicate.com/v1/deployments?cursor=cD0yMDIzLTA2LTA2KzIzJTNBNDAlM0EwOC45NjMwMDAlMkIwMCUzQTAw",\n "previous": null,\n "results": [\n {\n "owner": "replicate",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n }\n ]\n}\n```\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'list_deployments',
>>> 13: description: 'Get a list of deployments associated with the current account, including the latest release configuration for each deployment.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/deployments\n```\n\nThe response will be a paginated JSON array of deployment objects, sorted with the most recent deployment first:\n\n```json\n{\n "next": "http://api.replicate.com/v1/deployments?cursor=cD0yMDIzLTA2LTA2KzIzJTNBNDAlM0EwOC45NjMwMDAlMkIwMCUzQTAw",\n "previous": null,\n "results": [\n {\n "owner": "replicate",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 1,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 1,\n "max_instances": 5\n }\n }\n }\n ]\n}\n```\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'update_deployments',
>>> 16: description: 'Update properties of an existing deployment, including hardware, min/max instances, and the deployment\'s underlying model [version](https://replicate.com/docs/how-does-replicate-work#versions).\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X PATCH \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{"min_instances": 3, "max_instances": 10}\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 2,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 3,\n "max_instances": 10\n }\n }\n}\n```\n\nUpdating any deployment properties will increment the `number` field of the `current_release`.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.1 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'list_models_versions',
>>> 13: description: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions\n```\n\nThe response will be a JSON array of model version objects, sorted with the most recent version first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n }\n ]\n}\n```\n',
14: inputSchema: {
15: type: 'object',Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'update_deployments',
>>> 13: description: 'Update properties of an existing deployment, including hardware, min/max instances, and the deployment\'s underlying model [version](https://replicate.com/docs/how-does-replicate-work#versions).\n\nExample cURL request:\n\n```console\ncurl -s \\\n -X PATCH \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H "Content-Type: application/json" \\\n -d \'{"min_instances": 3, "max_instances": 10}\' \\\n https://api.replicate.com/v1/deployments/acme/my-app-image-generator\n```\n\nThe response will be a JSON object describing the deployment:\n\n```json\n{\n "owner": "acme",\n "name": "my-app-image-generator",\n "current_release": {\n "number": 2,\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "created_at": "2024-02-15T16:32:57.018467Z",\n "created_by": {\n "type": "organization",\n "username": "acme",\n "name": "Acme Corp, Inc.",\n "avatar_url": "https://cdn.replicate.com/avatars/acme.png",\n "github_url": "https://github.com/acme"\n },\n "configuration": {\n "hardware": "gpu-t4",\n "min_instances": 3,\n "max_instances": 10\n }\n }\n}\n```\n\nUpdating any deployment properties will increment the `number` field of the `current_release`.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.1 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.9 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'get_predictions',
>>> 16: description: 'Get the current state of a prediction.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu\n```\n\nThe response will be the prediction object:\n\n```json\n{\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "logs": "",\n "output": "hello Alice",\n "error": null,\n "status": "succeeded",\n "created_at": "2023-09-08T16:19:34.765994Z",\n "data_removed": false,\n "started_at": "2023-09-08T16:19:34.779176Z",\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "metrics": {\n "predict_time": 0.012683\n },\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n }\n}\n```\n\n`status` will be one of:\n\n- `starting`: the prediction is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the prediction.\n- `processing`: the `predict()` method of the model is currently running.\n- `succeeded`: the prediction completed successfully.\n- `failed`: the prediction encountered an error during processing.\n- `canceled`: the prediction was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the prediction.\n\nTerminated predictions (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won\'t include time waiting for the prediction to start.\n\nAll input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.\n\nYou must save a copy of any data or files in the output if you\'d like to continue using them. The `output` key will still be present, but it\'s value will be `null` after the output has been removed.\n\nOutput files are served by `replicate.delivery` and its subdomains. If you use an allow list of external domains for your assets, add `replicate.delivery` and `*.replicate.delivery` to it.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (4.9 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'delete_models_versions',
>>> 16: description: 'Delete a model version and all associated predictions, including all output files.\n\nModel version deletion has some restrictions:\n\n- You can only delete versions from models you own.\n- You can only delete versions from private models.\n- You cannot delete a version if someone other than you has run predictions with it.\n- You cannot delete a version if it is being used as the base model for a fine tune/training.\n- You cannot delete a version if it has an associated deployment.\n- You cannot delete a version if another model version is overridden to use it.\n\nExample cURL request:\n\n```command\ncurl -s -X DELETE \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be an empty 202, indicating the deletion request has been accepted. It might take a few minutes to be processed.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'delete_models_versions',
>>> 13: description: 'Delete a model version and all associated predictions, including all output files.\n\nModel version deletion has some restrictions:\n\n- You can only delete versions from models you own.\n- You can only delete versions from private models.\n- You cannot delete a version if someone other than you has run predictions with it.\n- You cannot delete a version if it is being used as the base model for a fine tune/training.\n- You cannot delete a version if it has an associated deployment.\n- You cannot delete a version if another model version is overridden to use it.\n\nExample cURL request:\n\n```command\ncurl -s -X DELETE \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be an empty 202, indicating the deletion request has been accepted. It might take a few minutes to be processed.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'get_models_versions',
>>> 16: description: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be the version object:\n\n```json\n{\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n}\n```\n\nEvery model describes its inputs and outputs with [OpenAPI Schema Objects](https://spec.openapis.org/oas/latest.html#schemaObject) in the `openapi_schema` property.\n\nThe `openapi_schema.components.schemas.Input` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "object",\n "title": "Input",\n "required": [\n "text"\n ],\n "properties": {\n "text": {\n "x-order": 0,\n "type": "string",\n "title": "Text",\n "description": "Text to prefix with \'hello \'"\n }\n }\n}\n```\n\nThe `openapi_schema.components.schemas.Output` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "string",\n "title": "Output"\n}\n```\n\nFor more details, see the docs on [Cog\'s supported input and output types](https://github.com/replicate/cog/blob/75b7802219e7cd4cee845e34c4c22139558615d4/docs/python.md#input-and-output-types)\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'get_models_versions',
>>> 13: description: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa\n```\n\nThe response will be the version object:\n\n```json\n{\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n}\n```\n\nEvery model describes its inputs and outputs with [OpenAPI Schema Objects](https://spec.openapis.org/oas/latest.html#schemaObject) in the `openapi_schema` property.\n\nThe `openapi_schema.components.schemas.Input` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "object",\n "title": "Input",\n "required": [\n "text"\n ],\n "properties": {\n "text": {\n "x-order": 0,\n "type": "string",\n "title": "Text",\n "description": "Text to prefix with \'hello \'"\n }\n }\n}\n```\n\nThe `openapi_schema.components.schemas.Output` property for the [replicate/hello-world](https://replicate.com/replicate/hello-world) model looks like this:\n\n```json\n{\n "type": "string",\n "title": "Output"\n}\n```\n\nFor more details, see the docs on [Cog\'s supported input and output types](https://github.com/replicate/cog/blob/75b7802219e7cd4cee845e34c4c22139558615d4/docs/python.md#input-and-output-types)\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'list_models_versions',
>>> 16: description: 'Example cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/models/replicate/hello-world/versions\n```\n\nThe response will be a JSON array of model version objects, sorted with the most recent version first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "created_at": "2022-04-26T19:29:04.418669Z",\n "cog_version": "0.3.0",\n "openapi_schema": {...}\n }\n ]\n}\n```\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_predictions',
>>> 16: description: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
17: inputSchema: {
18: type: 'object',Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
24: version: {
25: type: 'string',
>>> 26: description: 'The ID of the model version that you want to run. This can be specified in two formats:\n\n1. Just the 64-character version ID: `9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n2. Full model identifier with version ID in the format `{owner}/{model}:{id}`. For example, `replicate/hello-world:9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n',
27: },
28: stream: {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
36: webhook_events_filter: {
37: type: 'array',
>>> 38: description: 'By default, we will send requests to your webhook URL whenever there are new outputs or the prediction has finished. You can change which events trigger webhook requests by specifying `webhook_events_filter` in the prediction request:\n\n- `start`: immediately on prediction start\n- `output`: each time a prediction generates an output (note that predictions can generate multiple outputs)\n- `logs`: each time log output is generated by a prediction\n- `completed`: when the prediction reaches a terminal state (succeeded/canceled/failed)\n\nFor example, if you only wanted requests to be sent at the start and end of the prediction, you would provide:\n\n```json\n{\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "webhook": "https://example.com/my-webhook",\n "webhook_events_filter": ["start", "completed"]\n}\n```\n\nRequests for event types `output` and `logs` will be sent at most once every 500ms. If you request `start` and `completed` webhooks, then they\'ll always be sent regardless of throttling.\n',
39: items: {
40: type: 'string',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_predictions',
>>> 13: description: 'Create a prediction for the model version and inputs you provide.\n\nIf you\'re running an [official model](https://replicate.com/collections/official), use the [`models.predictions.create`](#models.predictions.create) operation instead.\n\nExample cURL request:\n\n```console\ncurl -s -X POST -H \'Prefer: wait\' \\\n -d \'{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/predictions\n```\n\nThe request will wait up to 60 seconds for the model to run. If this time is exceeded the prediction will be returned in a `"starting"` state and need to be retrieved using the `predictions.get` endpiont.\n\nFor a complete overview of the `predictions.create` API check out our documentation on [creating a prediction](https://replicate.com/docs/topics/predictions/create-a-prediction) which covers a variety of use cases.\n',
14: inputSchema: {
15: type: 'object',Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
21: version: {
22: type: 'string',
>>> 23: description: 'The ID of the model version that you want to run. This can be specified in two formats:\n\n1. Just the 64-character version ID: `9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n2. Full model identifier with version ID in the format `{owner}/{model}:{id}`. For example, `replicate/hello-world:9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426`\n',
24: },
25: stream: {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
33: webhook_events_filter: {
34: type: 'array',
>>> 35: description: 'By default, we will send requests to your webhook URL whenever there are new outputs or the prediction has finished. You can change which events trigger webhook requests by specifying `webhook_events_filter` in the prediction request:\n\n- `start`: immediately on prediction start\n- `output`: each time a prediction generates an output (note that predictions can generate multiple outputs)\n- `logs`: each time log output is generated by a prediction\n- `completed`: when the prediction reaches a terminal state (succeeded/canceled/failed)\n\nFor example, if you only wanted requests to be sent at the start and end of the prediction, you would provide:\n\n```json\n{\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "webhook": "https://example.com/my-webhook",\n "webhook_events_filter": ["start", "completed"]\n}\n```\n\nRequests for event types `output` and `logs` will be sent at most once every 500ms. If you request `start` and `completed` webhooks, then they\'ll always be sent regardless of throttling.\n',
36: items: {
37: type: 'string',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'get_predictions',
>>> 13: description: 'Get the current state of a prediction.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu\n```\n\nThe response will be the prediction object:\n\n```json\n{\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n "input": {\n "text": "Alice"\n },\n "logs": "",\n "output": "hello Alice",\n "error": null,\n "status": "succeeded",\n "created_at": "2023-09-08T16:19:34.765994Z",\n "data_removed": false,\n "started_at": "2023-09-08T16:19:34.779176Z",\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "metrics": {\n "predict_time": 0.012683\n },\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n }\n}\n```\n\n`status` will be one of:\n\n- `starting`: the prediction is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the prediction.\n- `processing`: the `predict()` method of the model is currently running.\n- `succeeded`: the prediction completed successfully.\n- `failed`: the prediction encountered an error during processing.\n- `canceled`: the prediction was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the prediction.\n\nTerminated predictions (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won\'t include time waiting for the prediction to start.\n\nAll input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.\n\nYou must save a copy of any data or files in the output if you\'d like to continue using them. The `output` key will still be present, but it\'s value will be `null` after the output has been removed.\n\nOutput files are served by `replicate.delivery` and its subdomains. If you use an allow list of external domains for your assets, add `replicate.delivery` and `*.replicate.delivery` to it.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'list_predictions',
>>> 16: description: 'Get a paginated list of all predictions created by the user or organization associated with the provided API token.\n\nThis will include predictions created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions\n```\n\nThe response will be a paginated JSON array of prediction objects, sorted with the most recent prediction first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "created_at": "2023-09-08T16:19:34.907244Z",\n "data_removed": false,\n "error": null,\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "input": {\n "text": "Alice"\n },\n "metrics": {\n "predict_time": 0.012683\n },\n "output": "hello Alice",\n "started_at": "2023-09-08T16:19:34.779176Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n },\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the prediction.\n\n`source` will indicate how the prediction was created. Possible values are `web` or `api`.\n\n`status` will be the status of the prediction. Refer to [get a single prediction](#predictions.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given prediction. If the requested model version supports streaming, this will have a `stream` entry with an HTTPS URL that you can use to construct an [`EventSource`](https://developer.mozilla.org/en-US/docs/Web/API/EventSource).\n\n`model` will be the model identifier string in the format of `{model_owner}/{model_name}`.\n\n`version` will be the unique ID of model version used to create the prediction.\n\n`data_removed` will be `true` if the input and output data has been deleted.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'list_predictions',
>>> 13: description: 'Get a paginated list of all predictions created by the user or organization associated with the provided API token.\n\nThis will include predictions created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/predictions\n```\n\nThe response will be a paginated JSON array of prediction objects, sorted with the most recent prediction first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:19:34.791859Z",\n "created_at": "2023-09-08T16:19:34.907244Z",\n "data_removed": false,\n "error": null,\n "id": "gm3qorzdhgbfurvjtvhg6dckhu",\n "input": {\n "text": "Alice"\n },\n "metrics": {\n "predict_time": 0.012683\n },\n "output": "hello Alice",\n "started_at": "2023-09-08T16:19:34.779176Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",\n "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",\n "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"\n },\n "model": "replicate/hello-world",\n "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the prediction.\n\n`source` will indicate how the prediction was created. Possible values are `web` or `api`.\n\n`status` will be the status of the prediction. Refer to [get a single prediction](#predictions.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given prediction. If the requested model version supports streaming, this will have a `stream` entry with an HTTPS URL that you can use to construct an [`EventSource`](https://developer.mozilla.org/en-US/docs/Web/API/EventSource).\n\n`model` will be the model identifier string in the format of `{model_owner}/{model_name}`.\n\n`version` will be the unique ID of model version used to create the prediction.\n\n`data_removed` will be `true` if the input and output data has been deleted.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'create_trainings',
>>> 16: description: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'create_trainings',
>>> 13: description: 'Start a new training of the model version you specify.\n\nExample request body:\n\n```json\n{\n "destination": "{new_owner}/{new_name}",\n "input": {\n "train_data": "https://example.com/my-input-images.zip",\n },\n "webhook": "https://example.com/my-webhook",\n}\n```\n\nExample cURL request:\n\n```console\ncurl -s -X POST \\\n -d \'{"destination": "{new_owner}/{new_name}", "input": {"input_images": "https://example.com/my-input-images.zip"}}\' \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n -H \'Content-Type: application/json\' \\\n https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings\n```\n\nThe response will be the training object:\n\n```json\n{\n "id": "zz4ibbonubfz7carwiefibzgga",\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "",\n "error": null,\n "status": "starting",\n "created_at": "2023-09-08T16:32:56.990893084Z",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"\n }\n}\n```\n\nAs models can take several minutes or more to train, the result will not be available immediately. To get the final result of the training you should either provide a `webhook` HTTPS URL for us to call when the results are ready, or poll the [get a training](#trainings.get) endpoint until it has finished.\n\nWhen a training completes, it creates a new [version](https://replicate.com/docs/how-does-replicate-work#terminology) of the model at the specified destination.\n\nTo find some models to train on, check out the [trainable language models collection](https://replicate.com/collections/trainable-language-models).\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.2 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'get_trainings',
>>> 16: description: 'Get the current state of a training.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga\n```\n\nThe response will be the training object:\n\n```json\n{\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "...",\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n}\n```\n\n`status` will be one of:\n\n- `starting`: the training is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the training.\n- `processing`: the `train()` method of the model is currently running.\n- `succeeded`: the training completed successfully.\n- `failed`: the training encountered an error during processing.\n- `canceled`: the training was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the training.\n\nTerminated trainings (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the training used while running. It won\'t include time waiting for the training to start.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'get_trainings',
>>> 13: description: 'Get the current state of a training.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga\n```\n\nThe response will be the training object:\n\n```json\n{\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "logs": "...",\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n}\n```\n\n`status` will be one of:\n\n- `starting`: the training is starting up. If this status lasts longer than a few seconds, then it\'s typically because a new worker is being started to run the training.\n- `processing`: the `train()` method of the model is currently running.\n- `succeeded`: the training completed successfully.\n- `failed`: the training encountered an error during processing.\n- `canceled`: the training was canceled by its creator.\n\nIn the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You\'ll need to pass the `Authorization` header to request them.\n\nIn the case of failure, `error` will contain the error encountered during the training.\n\nTerminated trainings (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the training used while running. It won\'t include time waiting for the training to start.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
14: exports.tool = {
15: name: 'list_trainings',
>>> 16: description: 'Get a paginated list of all trainings created by the user or organization associated with the provided API token.\n\nThis will include trainings created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings\n```\n\nThe response will be a paginated JSON array of training objects, sorted with the most recent training first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the training.\n\n`source` will indicate how the training was created. Possible values are `web` or `api`.\n\n`status` will be the status of the training. Refer to [get a single training](#trainings.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given training.\n\n`version` will be the unique ID of model version used to create the training.\n',
17: inputSchema: {
18: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
11: export const tool = {
12: name: 'list_trainings',
>>> 13: description: 'Get a paginated list of all trainings created by the user or organization associated with the provided API token.\n\nThis will include trainings created from the API and the website. It will return 100 records per page.\n\nExample cURL request:\n\n```console\ncurl -s \\\n -H "Authorization: Bearer $REPLICATE_API_TOKEN" \\\n https://api.replicate.com/v1/trainings\n```\n\nThe response will be a paginated JSON array of training objects, sorted with the most recent training first:\n\n```json\n{\n "next": null,\n "previous": null,\n "results": [\n {\n "completed_at": "2023-09-08T16:41:19.826523Z",\n "created_at": "2023-09-08T16:32:57.018467Z",\n "error": null,\n "id": "zz4ibbonubfz7carwiefibzgga",\n "input": {\n "input_images": "https://example.com/my-input-images.zip"\n },\n "metrics": {\n "predict_time": 502.713876\n },\n "output": {\n "version": "...",\n "weights": "..."\n },\n "started_at": "2023-09-08T16:32:57.112647Z",\n "source": "api",\n "status": "succeeded",\n "urls": {\n "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",\n "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",\n "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"\n },\n "model": "stability-ai/sdxl",\n "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",\n }\n ]\n}\n```\n\n`id` will be the unique ID of the training.\n\n`source` will indicate how the training was created. Possible values are `web` or `api`.\n\n`status` will be the status of the training. Refer to [get a single training](#trainings.get) for possible values.\n\n`urls` will be a convenience object that can be used to construct new API requests for the given training.\n\n`version` will be the unique ID of model version used to create the training.\n',
14: inputSchema: {
15: type: 'object',High-entropy string (5.0 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
247: "name": "my-app-image-generator",
248: "model": "stability-ai/sdxl",
>>> 249: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
250: "hardware": "gpu-t4",
251: "min_instances": 0,Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
264: "number": 1,
265: "model": "stability-ai/sdxl",
>>> 266: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
267: "created_at": "2024-02-15T16:32:57.018467Z",
268: "created_by": {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
304: "number": 2,
305: "model": "stability-ai/sdxl",
>>> 306: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
307: "created_at": "2024-02-15T16:32:57.018467Z",
308: "created_by": {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
338: ```json
339: {
>>> 340: "next": "http://api.replicate.com/v1/deployments?cursor=cD0yMDIzLTA2LTA2KzIzJTNBNDAlM0EwOC45NjMwMDAlMkIwMCUzQTAw",
341: "previous": null,
342: "results": [Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
347: "number": 1,
348: "model": "stability-ai/sdxl",
>>> 349: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
350: "created_at": "2024-02-15T16:32:57.018467Z",
351: "created_by": {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
402: "number": 1,
403: "model": "stability-ai/sdxl",
>>> 404: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
405: "created_at": "2024-02-15T16:32:57.018467Z",
406: "created_by": {Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
719: "results": [
720: {
>>> 721: "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
722: "created_at": "2022-04-26T19:29:04.418669Z",
723: "cog_version": "0.3.0",Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
744: curl -s -X DELETE \
745: -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
>>> 746: https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa
747: ```
748: Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
754: curl -s \
755: -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
>>> 756: https://api.replicate.com/v1/models/replicate/hello-world/versions/5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa
757: ```
758: Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
761: ```json
762: {
>>> 763: "id": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
764: "created_at": "2022-04-26T19:29:04.418669Z",
765: "cog_version": "0.3.0",Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
797: ```
798:
>>> 799: For more details, see the docs on [Cog's supported input and output types](https://github.com/replicate/cog/blob/75b7802219e7cd4cee845e34c4c22139558615d4/docs/python.md#input-and-output-types)
800:
801: ### Resource `predictions`:Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
809: ```console
810: curl -s -X POST -H 'Prefer: wait' \
>>> 811: -d '{"version": "replicate/hello-world:5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa", "input": {"text": "Alice"}}' \
812: -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
813: -H 'Content-Type: application/json' \Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
857: "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",
858: "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",
>>> 859: "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"
860: },
861: "model": "replicate/hello-world",Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
860: },
861: "model": "replicate/hello-world",
>>> 862: "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa"
863: }
864: ]Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
921: "id": "gm3qorzdhgbfurvjtvhg6dckhu",
922: "model": "replicate/hello-world",
>>> 923: "version": "5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa",
924: "input": {
925: "text": "Alice"Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
939: "web": "https://replicate.com/p/gm3qorzdhgbfurvjtvhg6dckhu",
940: "get": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu",
>>> 941: "cancel": "https://api.replicate.com/v1/predictions/gm3qorzdhgbfurvjtvhg6dckhu/cancel"
942: }
943: }Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
987: -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
988: -H 'Content-Type: application/json' \
>>> 989: https://api.replicate.com/v1/models/stability-ai/sdxl/versions/da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf/trainings
990: ```
991: Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
996: "id": "zz4ibbonubfz7carwiefibzgga",
997: "model": "stability-ai/sdxl",
>>> 998: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
999: "input": {
1000: "input_images": "https://example.com/my-input-images.zip"Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
1007: "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",
1008: "get": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga",
>>> 1009: "cancel": "https://api.replicate.com/v1/predictions/zz4ibbonubfz7carwiefibzgga/cancel"
1010: }
1011: }Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
1058: "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",
1059: "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",
>>> 1060: "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"
1061: },
1062: "model": "stability-ai/sdxl",Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
1061: },
1062: "model": "stability-ai/sdxl",
>>> 1063: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf"
1064: }
1065: ]Possible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
1112: "web": "https://replicate.com/p/zz4ibbonubfz7carwiefibzgga",
1113: "get": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga",
>>> 1114: "cancel": "https://api.replicate.com/v1/trainings/zz4ibbonubfz7carwiefibzgga/cancel"
1115: },
1116: "model": "stability-ai/sdxl",High-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positivePossible Base64-encoded payload (long encoded string)
Detected by automated pattern matching (rule OB-001) with medium confidence. May be a false positive.
1115: },
1116: "model": "stability-ai/sdxl",
>>> 1117: "version": "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf"
1118: }
1119: ```High-entropy string (4.9 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (5.3 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.7 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.9 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.8 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.5 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveHigh-entropy string (4.6 bits/char) — possible encoded payload
Detected by automated pattern matching (rule EN-001) with medium confidence. May be a false positive.
Report false positiveScan History
| Date | Risk | Findings | Files | Duration |
|---|---|---|---|---|
| Feb 25, 2026 | critical | 351 | 392 | 0.00s |
| Feb 24, 2026 | critical | 351 | 392 | 0.00s |