diff --git a/packages/components/nodes/agentflow/Agent/Agent.ts b/packages/components/nodes/agentflow/Agent/Agent.ts
index 38af93505..1ad337c07 100644
--- a/packages/components/nodes/agentflow/Agent/Agent.ts
+++ b/packages/components/nodes/agentflow/Agent/Agent.ts
@@ -1569,16 +1569,20 @@ class Agent_Agentflow implements INode {
             for await (const chunk of await llmNodeInstance.stream(messages, { signal: abortController?.signal })) {
                 if (sseStreamer) {
                     let content = ''
-                    if (Array.isArray(chunk.content) && chunk.content.length > 0) {
+
+                    if (typeof chunk === 'string') {
+                        content = chunk
+                    } else if (Array.isArray(chunk.content) && chunk.content.length > 0) {
                         const contents = chunk.content as MessageContentText[]
                         content = contents.map((item) => item.text).join('')
-                    } else {
+                    } else if (chunk.content) {
                         content = chunk.content.toString()
                     }
                     sseStreamer.streamTokenEvent(chatId, content)
                 }
 
-                response = response.concat(chunk)
+                const messageChunk = typeof chunk === 'string' ? new AIMessageChunk(chunk) : chunk
+                response = response.concat(messageChunk)
             }
         } catch (error) {
             console.error('Error during streaming:', error)
diff --git a/packages/components/nodes/agentflow/HumanInput/HumanInput.ts b/packages/components/nodes/agentflow/HumanInput/HumanInput.ts
index 8d5818ff3..b4811d1c8 100644
--- a/packages/components/nodes/agentflow/HumanInput/HumanInput.ts
+++ b/packages/components/nodes/agentflow/HumanInput/HumanInput.ts
@@ -241,8 +241,11 @@ class HumanInput_Agentflow implements INode {
                     if (isStreamable) {
                         const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer
                         for await (const chunk of await llmNodeInstance.stream(messages)) {
-                            sseStreamer.streamTokenEvent(chatId, chunk.content.toString())
-                            response = response.concat(chunk)
+                            const content = typeof chunk === 'string' ? chunk : chunk.content.toString()
+                            sseStreamer.streamTokenEvent(chatId, content)
+
+                            const messageChunk = typeof chunk === 'string' ? new AIMessageChunk(chunk) : chunk
+                            response = response.concat(messageChunk)
                         }
                         humanInputDescription = response.content as string
                     } else {
diff --git a/packages/components/nodes/agentflow/LLM/LLM.ts b/packages/components/nodes/agentflow/LLM/LLM.ts
index 9b434f268..c970466b4 100644
--- a/packages/components/nodes/agentflow/LLM/LLM.ts
+++ b/packages/components/nodes/agentflow/LLM/LLM.ts
@@ -824,16 +824,20 @@ class LLM_Agentflow implements INode {
             for await (const chunk of await llmNodeInstance.stream(messages, { signal: abortController?.signal })) {
                 if (sseStreamer) {
                     let content = ''
-                    if (Array.isArray(chunk.content) && chunk.content.length > 0) {
+
+                    if (typeof chunk === 'string') {
+                        content = chunk
+                    } else if (Array.isArray(chunk.content) && chunk.content.length > 0) {
                         const contents = chunk.content as MessageContentText[]
                         content = contents.map((item) => item.text).join('')
-                    } else {
+                    } else if (chunk.content) {
                         content = chunk.content.toString()
                     }
                     sseStreamer.streamTokenEvent(chatId, content)
                 }
 
-                response = response.concat(chunk)
+                const messageChunk = typeof chunk === 'string' ? new AIMessageChunk(chunk) : chunk
+                response = response.concat(messageChunk)
             }
         } catch (error) {
             console.error('Error during streaming:', error)
diff --git a/packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts b/packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts
index 5e2384102..4cda05716 100644
--- a/packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts
+++ b/packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts
@@ -41,15 +41,17 @@ class ChatHuggingFace_ChatModels implements INode {
                 label: 'Model',
                 name: 'model',
                 type: 'string',
-                description: 'If using own inference endpoint, leave this blank',
-                placeholder: 'gpt2'
+                description:
+                    'Model name (e.g., deepseek-ai/DeepSeek-V3.2-Exp:novita). If model includes provider (:) or using router endpoint, leave Endpoint blank.',
+                placeholder: 'deepseek-ai/DeepSeek-V3.2-Exp:novita'
             },
             {
                 label: 'Endpoint',
                 name: 'endpoint',
                 type: 'string',
                 placeholder: 'https://xyz.eu-west-1.aws.endpoints.huggingface.cloud/gpt2',
-                description: 'Using your own inference endpoint',
+                description:
+                    'Custom inference endpoint (optional). Not needed for models with providers (:) or router endpoints. Leave blank to use Inference Providers.',
                 optional: true
             },
             {
@@ -124,6 +126,15 @@ class ChatHuggingFace_ChatModels implements INode {
         const credentialData = await getCredentialData(nodeData.credential ?? '', options)
         const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
 
+        if (!huggingFaceApiKey) {
+            console.error('[ChatHuggingFace] API key validation failed: No API key found')
+            throw new Error('HuggingFace API key is required. Please configure it in the credential settings.')
+        }
+
+        if (!huggingFaceApiKey.startsWith('hf_')) {
+            console.warn('[ChatHuggingFace] API key format warning: Key does not start with "hf_"')
+        }
+
         const obj: Partial<HFInput> = {
             model,
             apiKey: huggingFaceApiKey
diff --git a/packages/components/nodes/chatmodels/ChatHuggingFace/core.ts b/packages/components/nodes/chatmodels/ChatHuggingFace/core.ts
index 2cf2de25d..522734cda 100644
--- a/packages/components/nodes/chatmodels/ChatHuggingFace/core.ts
+++ b/packages/components/nodes/chatmodels/ChatHuggingFace/core.ts
@@ -56,9 +56,9 @@ export class HuggingFaceInference extends LLM implements HFInput {
         this.apiKey = fields?.apiKey ?? getEnvironmentVariable('HUGGINGFACEHUB_API_KEY')
         this.endpointUrl = fields?.endpointUrl
         this.includeCredentials = fields?.includeCredentials
-        if (!this.apiKey) {
+        if (!this.apiKey || this.apiKey.trim() === '') {
             throw new Error(
-                'Please set an API key for HuggingFace Hub in the environment variable HUGGINGFACEHUB_API_KEY or in the apiKey field of the HuggingFaceInference constructor.'
+                'Please set an API key for HuggingFace Hub. Either configure it in the credential settings in the UI, or set the environment variable HUGGINGFACEHUB_API_KEY.'
             )
         }
     }
@@ -68,19 +68,21 @@ export class HuggingFaceInference extends LLM implements HFInput {
     }
 
     invocationParams(options?: this['ParsedCallOptions']) {
-        return {
-            model: this.model,
-            parameters: {
-                // make it behave similar to openai, returning only the generated text
-                return_full_text: false,
-                temperature: this.temperature,
-                max_new_tokens: this.maxTokens,
-                stop: options?.stop ?? this.stopSequences,
-                top_p: this.topP,
-                top_k: this.topK,
-                repetition_penalty: this.frequencyPenalty
-            }
+        // Return parameters compatible with chatCompletion API (OpenAI-compatible format)
+        const params: any = {
+            temperature: this.temperature,
+            max_tokens: this.maxTokens,
+            stop: options?.stop ?? this.stopSequences,
+            top_p: this.topP
         }
+        // Include optional parameters if they are defined
+        if (this.topK !== undefined) {
+            params.top_k = this.topK
+        }
+        if (this.frequencyPenalty !== undefined) {
+            params.frequency_penalty = this.frequencyPenalty
+        }
+        return params
     }
 
     async *_streamResponseChunks(
@@ -88,51 +90,109 @@ export class HuggingFaceInference extends LLM implements HFInput {
         options: this['ParsedCallOptions'],
         runManager?: CallbackManagerForLLMRun
     ): AsyncGenerator<GenerationChunk> {
-        const hfi = await this._prepareHFInference()
-        const stream = await this.caller.call(async () =>
-            hfi.textGenerationStream({
-                ...this.invocationParams(options),
-                inputs: prompt
-            })
-        )
-        for await (const chunk of stream) {
-            const token = chunk.token.text
-            yield new GenerationChunk({ text: token, generationInfo: chunk })
-            await runManager?.handleLLMNewToken(token ?? '')
-
-            // stream is done
-            if (chunk.generated_text)
-                yield new GenerationChunk({
-                    text: '',
-                    generationInfo: { finished: true }
+        try {
+            const client = await this._prepareHFInference()
+            const stream = await this.caller.call(async () =>
+                client.chatCompletionStream({
+                    model: this.model,
+                    messages: [{ role: 'user', content: prompt }],
+                    ...this.invocationParams(options)
                 })
+            )
+            for await (const chunk of stream) {
+                const token = chunk.choices[0]?.delta?.content || ''
+                if (token) {
+                    yield new GenerationChunk({ text: token, generationInfo: chunk })
+                    await runManager?.handleLLMNewToken(token)
+                }
+                // stream is done when finish_reason is set
+                if (chunk.choices[0]?.finish_reason) {
+                    yield new GenerationChunk({
+                        text: '',
+                        generationInfo: { finished: true }
+                    })
+                    break
+                }
+            }
+        } catch (error: any) {
+            console.error('[ChatHuggingFace] Error in _streamResponseChunks:', error)
+            // Provide more helpful error messages
+            if (error?.message?.includes('endpointUrl') || error?.message?.includes('third-party provider')) {
+                throw new Error(
+                    `Cannot use custom endpoint with model "${this.model}" that includes a provider. Please leave the Endpoint field blank in the UI. Original error: ${error.message}`
+                )
+            }
+            throw error
         }
     }
 
     /** @ignore */
     async _call(prompt: string, options: this['ParsedCallOptions']): Promise<string> {
-        const hfi = await this._prepareHFInference()
-        const args = { ...this.invocationParams(options), inputs: prompt }
-        const res = await this.caller.callWithOptions({ signal: options.signal }, hfi.textGeneration.bind(hfi), args)
-        return res.generated_text
+        try {
+            const client = await this._prepareHFInference()
+            // Use chatCompletion for chat models (v4 supports conversational models via Inference Providers)
+            const args = {
+                model: this.model,
+                messages: [{ role: 'user', content: prompt }],
+                ...this.invocationParams(options)
+            }
+            const res = await this.caller.callWithOptions({ signal: options.signal }, client.chatCompletion.bind(client), args)
+            const content = res.choices[0]?.message?.content || ''
+            if (!content) {
+                console.error('[ChatHuggingFace] No content in response:', JSON.stringify(res))
+                throw new Error(`No content received from HuggingFace API. Response: ${JSON.stringify(res)}`)
+            }
+            return content
+        } catch (error: any) {
+            console.error('[ChatHuggingFace] Error in _call:', error.message)
+            // Provide more helpful error messages
+            if (error?.message?.includes('endpointUrl') || error?.message?.includes('third-party provider')) {
+                throw new Error(
+                    `Cannot use custom endpoint with model "${this.model}" that includes a provider. Please leave the Endpoint field blank in the UI. Original error: ${error.message}`
+                )
+            }
+            if (error?.message?.includes('Invalid username or password') || error?.message?.includes('authentication')) {
+                throw new Error(
+                    `HuggingFace API authentication failed. Please verify your API key is correct and starts with "hf_". Original error: ${error.message}`
+                )
+            }
+            throw error
+        }
     }
 
     /** @ignore */
     private async _prepareHFInference() {
-        const { HfInference } = await HuggingFaceInference.imports()
-        const hfi = new HfInference(this.apiKey, {
-            includeCredentials: this.includeCredentials
-        })
-        return this.endpointUrl ? hfi.endpoint(this.endpointUrl) : hfi
+        if (!this.apiKey || this.apiKey.trim() === '') {
+            console.error('[ChatHuggingFace] API key validation failed: Empty or undefined')
+            throw new Error('HuggingFace API key is required. Please configure it in the credential settings.')
+        }
+
+        const { InferenceClient } = await HuggingFaceInference.imports()
+        // Use InferenceClient for chat models (works better with Inference Providers)
+        const client = new InferenceClient(this.apiKey)
+
+        // Don't override endpoint if model uses a provider (contains ':') or if endpoint is router-based
+        // When using Inference Providers, endpoint should be left blank - InferenceClient handles routing automatically
+        if (
+            this.endpointUrl &&
+            !this.model.includes(':') &&
+            !this.endpointUrl.includes('/v1/chat/completions') &&
+            !this.endpointUrl.includes('router.huggingface.co')
+        ) {
+            return client.endpoint(this.endpointUrl)
+        }
+
+        // Return client without endpoint override - InferenceClient will use Inference Providers automatically
+        return client
     }
 
     /** @ignore */
     static async imports(): Promise<{
-        HfInference: typeof import('@huggingface/inference').HfInference
+        InferenceClient: typeof import('@huggingface/inference').InferenceClient
     }> {
         try {
-            const { HfInference } = await import('@huggingface/inference')
-            return { HfInference }
+            const { InferenceClient } = await import('@huggingface/inference')
+            return { InferenceClient }
         } catch (e) {
             throw new Error('Please install huggingface as a dependency with, e.g. `pnpm install @huggingface/inference`')
         }
diff --git a/packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/core.ts b/packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/core.ts
index 49e6efa43..3ee4cb8e1 100644
--- a/packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/core.ts
+++ b/packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/core.ts
@@ -23,24 +23,22 @@ export class HuggingFaceInferenceEmbeddings extends Embeddings implements Huggin
         this.model = fields?.model ?? 'sentence-transformers/distilbert-base-nli-mean-tokens'
         this.apiKey = fields?.apiKey ?? getEnvironmentVariable('HUGGINGFACEHUB_API_KEY')
         this.endpoint = fields?.endpoint ?? ''
-        this.client = new HfInference(this.apiKey)
-        if (this.endpoint) this.client.endpoint(this.endpoint)
+        const hf = new HfInference(this.apiKey)
+        // v4 uses Inference Providers by default; only override if custom endpoint provided
+        this.client = this.endpoint ? hf.endpoint(this.endpoint) : hf
     }
 
     async _embed(texts: string[]): Promise<number[][]> {
         // replace newlines, which can negatively affect performance.
         const clean = texts.map((text) => text.replace(/\n/g, ' '))
-        const hf = new HfInference(this.apiKey)
         const obj: any = {
             inputs: clean
         }
-        if (this.endpoint) {
-            hf.endpoint(this.endpoint)
-        } else {
+        if (!this.endpoint) {
             obj.model = this.model
         }
 
-        const res = await this.caller.callWithOptions({}, hf.featureExtraction.bind(hf), obj)
+        const res = await this.caller.callWithOptions({}, this.client.featureExtraction.bind(this.client), obj)
         return res as number[][]
     }
 
diff --git a/packages/components/nodes/llms/HuggingFaceInference/core.ts b/packages/components/nodes/llms/HuggingFaceInference/core.ts
index eb99d4a30..d7aa1ebec 100644
--- a/packages/components/nodes/llms/HuggingFaceInference/core.ts
+++ b/packages/components/nodes/llms/HuggingFaceInference/core.ts
@@ -78,6 +78,8 @@ export class HuggingFaceInference extends LLM implements HFInput {
     async _call(prompt: string, options: this['ParsedCallOptions']): Promise<string> {
         const { HfInference } = await HuggingFaceInference.imports()
         const hf = new HfInference(this.apiKey)
+        // v4 uses Inference Providers by default; only override if custom endpoint provided
+        const hfClient = this.endpoint ? hf.endpoint(this.endpoint) : hf
         const obj: any = {
             parameters: {
                 // make it behave similar to openai, returning only the generated text
@@ -90,12 +92,10 @@ export class HuggingFaceInference extends LLM implements HFInput {
             },
             inputs: prompt
         }
-        if (this.endpoint) {
-            hf.endpoint(this.endpoint)
-        } else {
+        if (!this.endpoint) {
             obj.model = this.model
         }
-        const res = await this.caller.callWithOptions({ signal: options.signal }, hf.textGeneration.bind(hf), obj)
+        const res = await this.caller.callWithOptions({ signal: options.signal }, hfClient.textGeneration.bind(hfClient), obj)
         return res.generated_text
     }
 
diff --git a/packages/components/package.json b/packages/components/package.json
index f2c0d07c0..e379b6e7a 100644
--- a/packages/components/package.json
+++ b/packages/components/package.json
@@ -43,7 +43,7 @@
         "@google-cloud/storage": "^7.15.2",
         "@google/generative-ai": "^0.24.0",
         "@grpc/grpc-js": "^1.10.10",
-        "@huggingface/inference": "^2.6.1",
+        "@huggingface/inference": "^4.13.2",
         "@langchain/anthropic": "0.3.33",
         "@langchain/aws": "^0.1.11",
         "@langchain/baidu-qianfan": "^0.1.0",
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 61ad81829..2df37b458 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -190,8 +190,8 @@ importers:
                 specifier: ^1.10.10
                 version: 1.10.10
             '@huggingface/inference':
-                specifier: ^2.6.1
-                version: 2.6.4
+                specifier: ^4.13.2
+                version: 4.13.2
             '@langchain/anthropic':
                 specifier: 0.3.33
                 version: 0.3.33(@langchain/core@0.3.61(openai@4.96.0(encoding@0.1.13)(ws@8.18.3(bufferutil@4.0.8)(utf-8-validate@6.0.4))(zod@3.22.4)))(zod@3.22.4)
@@ -206,7 +206,7 @@ importers:
                 version: 0.0.7(encoding@0.1.13)(openai@4.96.0(encoding@0.1.13)(ws@8.18.3(bufferutil@4.0.8)(utf-8-validate@6.0.4))(zod@3.22.4))
             '@langchain/community':
                 specifier: ^0.3.47
-                version: 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+
     '@humanwhocodes/config-array@0.11.14':
         resolution: { integrity: sha512-3T8LkOmg45BV5FICb15QQMsyUSWrQ8AygVfC7ZG32zOalnqrilm018ZVCw0eapXux8FtA33q8PSRSstjee3jSg== }
         engines: { node: '>=10.10.0' }
@@ -5030,14 +5037,17 @@ packages:
 
     '@modelcontextprotocol/server-brave-search@0.6.2':
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+        deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
         hasBin: true
 
     '@modelcontextprotocol/server-github@2025.1.23':
         resolution: { integrity: sha512-VlRc0G/hDjfOWXOT7r5LFB6+nivQXRlwfxYE0h92tyVjBPgfwSK508xGkiGI14Llllcbo2vCeRO/y2+1I1UKGA== }
+        deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
         hasBin: true
 
     '@modelcontextprotocol/server-postgres@0.6.2':
         resolution: { integrity: sha512-ukbVmVxLAsdZ5pTVWbhf9fc7lqkSf7XqizNH8XAotI21GnRPtkqO+WLWpeBFU+/2Fyv63uXS7/9NnR8Y8wOP1Q== }
+        deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
         hasBin: true
 
     '@modelcontextprotocol/server-sequential-thinking@0.6.2':
@@ -5046,6 +5056,7 @@ packages:
 
     '@modelcontextprotocol/server-slack@2025.1.17':
         resolution: { integrity: sha512-JTP/GdbZnTj8rC2KeVBpwsQLP6R7rt26M01cMt8SPgVy18vsTogjDEotQYjYv0b8ga4EgPLWzJhiKbpn81zOKg== }
+        deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
         hasBin: true
 
     '@mongodb-js/saslprep@1.1.5':
@@ -5084,6 +5095,7 @@ packages:
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         resolution: { integrity: sha512-duL37qxihT1N0pW/gyXVezP7SttLkF+cLAs/y6g6ubEFmVadjbnZ45SeF12/vAiKzqwf5M0uFH1cczIPXFZygA== }
         engines: { node: '>=12.0.0' }
+        deprecated: This package has been replaced by @base-ui-components/react
         peerDependencies:
             '@types/react': ^17.0.0 || ^18.0.0
             react: ^17.0.0 || ^18.0.0
@@ -5095,6 +5107,7 @@ packages:
     '@mui/base@5.0.0-beta.40':
         resolution: { integrity: sha512-I/lGHztkCzvwlXpjD2+SNmvNQvB4227xBXhISPjEaJUXGImOQ9f3D2Yj/T3KasSI/h0MLWy74X0J6clhPmsRbQ== }
         engines: { node: '>=12.0.0' }
+        deprecated: This package has been replaced by @base-ui-components/react
         peerDependencies:
             '@types/react': ^17.0.0 || ^18.0.0
             react: ^17.0.0 || ^18.0.0
@@ -8899,6 +8912,7 @@ packages:
     bson@6.7.0:
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         engines: { node: '>=16.20.1' }
+        deprecated: a critical bug affecting only useBigInt64=true deserialization usage is fixed in bson@6.10.3
 
     buffer-crc32@0.2.13:
         resolution: { integrity: sha512-VO9Ht/+p3SN7SKWqcrgEzjGbRSJYTx+Q1pTQC0wrWqHx0vpJraQ6GtHx8tvcg1rlK1byhU5gccxgOgj7B0TDkQ== }
@@ -9417,6 +9431,7 @@ packages:
 
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+        deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.
         hasBin: true
 
     compressible@2.0.18:
@@ -10561,6 +10576,7 @@ packages:
     eslint-plugin-markdown@3.0.1:
         resolution: { integrity: sha512-8rqoc148DWdGdmYF6WSQFT3uQ6PO7zXYgeBpHAOAakX/zpq+NvFYbDA/H7PYzHajwtmaOzAwfxyl++x0g1/N9A== }
         engines: { node: ^12.22.0 || ^14.17.0 || >=16.0.0 }
+        deprecated: Please use @eslint/markdown instead
         peerDependencies:
             eslint: ^6.0.0 || ^7.0.0 || ^8.0.0
 
@@ -13077,6 +13093,7 @@ packages:
 
     lodash.get@4.4.2:
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+        deprecated: This package is deprecated. Use the optional chaining (?.) operator instead.
 
     lodash.includes@4.3.0:
         resolution: { integrity: sha512-W3Bx6mdkRTGtlJISOvVD/lbqjTlPPUDTMnlXZFnVwi9NKJ6tiAk6LVdlhZMm17VZisqhKcgzpO5Wz91PCt5b0w== }
@@ -13089,6 +13106,7 @@ packages:
 
     lodash.isequal@4.5.0:
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+        deprecated: This package is deprecated. Use require('node:util').isDeepStrictEqual instead.
 
     lodash.isinteger@4.0.4:
         resolution: { integrity: sha512-DBwtEWN2caHQ9/imiNeEA5ys1JoRtRfY3d7V9wkqtbycnAmTvRRmbHKDV4a0EYc678/dia0jrte4tjYwVBaZUA== }
@@ -13306,6 +13324,7 @@ packages:
 
     mathjax-full@3.2.2:
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+        deprecated: Version 4 replaces this package with the scoped package @mathjax/src
 
     md-utils-ts@2.0.0:
         resolution: { integrity: sha512-sMG6JtX0ebcRMHxYTcmgsh0/m6o8hGdQHFE2OgjvflRZlQM51CGGj/uuk056D+12BlCiW0aTpt/AdlDNtgQiew== }
@@ -13809,6 +13828,7 @@ packages:
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         resolution: { integrity: sha512-ywPWvcDMeH+z9gQq5qYHCCy+ethsk4goepZ45GLD63fOu0YcNecQxi64nDs3qluZB+murG3/D4dJ7+dGctcCQQ== }
         engines: { node: '>= 6.0.0' }
+        deprecated: Multer 1.x is impacted by a number of vulnerabilities, which have been patched in 2.x. You should upgrade to the latest 2.x version.
 
     multicast-dns@7.2.5:
         resolution: { integrity: sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg== }
@@ -15450,7 +15470,7 @@ packages:
     puppeteer@20.9.0:
         resolution: { integrity: sha512-kAglT4VZ9fWEGg3oLc4/de+JcONuEJhlh3J6f5R1TLkrY/EHHIHxWXDOzXvaxQCtedmyVXBwg8M+P8YCO/wZjw== }
         engines: { node: '>=16.3.0' }
-        deprecated: < 22.8.2 is no longer supported
+        deprecated: < 24.15.0 is no longer supported
 
     pure-color@1.3.0:
         resolution: { integrity: sha512-QFADYnsVoBMw1srW7OVKEYjG+MbIa49s54w1MA1EDY6r2r/sTcKKYqRX1f4GYvnXP7eN/Pe9HFcX+hwzmrXRHA== }
@@ -15466,6 +15486,7 @@ packages:
         engines: { node: '>=0.6.0', teleport: '>=0.2.0' }
         deprecated: |-
             You or someone you depend on is using Q, the JavaScript Promise library that gave JavaScript developers strong feelings about promises. They can almost certainly migrate to the native JavaScript promise now. Thank you literally everyone for joining me in this bet against the odds. Be excellent to each other.
+
             (For a CapTP with native promises, see @endo/eventual-send and @endo/captp)
 
     qs@6.10.4:
@@ -16865,6 +16886,7 @@ packages:
     superagent@9.0.2:
         resolution: { integrity: sha512-xuW7dzkUpcJq7QnhOsnNUgtYp3xRwpt2F7abdRYIpCsAt0hhUqia0EdxyXZQQpNmGtsCzYHryaKSV3q3GJnq7w== }
         engines: { node: '>=14.18.0' }
+        deprecated: Please upgrade to superagent v10.2.2+, see release notes at https://github.com/forwardemail/superagent/releases/tag/v10.2.2 - maintenance is supported by Forward Email @ https://forwardemail.net
 
     supergateway@3.0.1:
         resolution: { integrity: sha512-QCoN4/0tOmYaEf5F9rfohq8AFksO6W9d0KQey6oV2HFMotEyw2T2znsDA6xGWcMexaIsm294jbEsh6AAmG/vXQ== }
@@ -16873,6 +16895,7 @@ packages:
     supertest@7.1.0:
         resolution: { integrity: sha512-5QeSO8hSrKghtcWEoPiO036fxH0Ii2wVQfFZSP0oqQhmjk8bOLhDFXr4JrvaFmPuEWUoq4znY3uSi8UzLKxGqw== }
         engines: { node: '>=14.18.0' }
+        deprecated: Please upgrade to supertest v7.1.3+, see release notes at https://github.com/forwardemail/supertest/releases/tag/v7.1.3 - maintenance is supported by Forward Email @ https://forwardemail.net
 
     supports-color@5.5.0:
         resolution: { integrity: sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow== }
@@ -23230,16 +23253,23 @@ snapshots:
         dependencies:
             '@hapi/hoek': 9.3.0
 
-    '@huggingface/inference@2.6.4': {}
-
     '@huggingface/inference@2.7.0':
         dependencies:
             '@huggingface/tasks': 0.10.6
 
+    '@huggingface/inference@4.13.2':
+        dependencies:
+            '@huggingface/jinja': 0.5.1
+            '@huggingface/tasks': 0.19.63
+
     '@huggingface/jinja@0.2.2': {}
 
+    '@huggingface/jinja@0.5.1': {}
+
     '@huggingface/tasks@0.10.6': {}
 
+    '@huggingface/tasks@0.19.63': {}
+
     '@humanwhocodes/config-array@0.11.14':
         dependencies:
             '@humanwhocodes/object-schema': 2.0.2
@@ -24007,7 +24037,7 @@ snapshots:
             - encoding
             - openai
 
-    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             '@ibm-cloud/watsonx-ai': 1.2.0
@@ -24041,7 +24071,7 @@ snapshots:
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             '@google-ai/generativelanguage': 2.6.0(encoding@0.1.13)
             '@google-cloud/storage': 7.16.0(encoding@0.1.13)
-            '@huggingface/inference': 2.6.4
+            '@huggingface/inference': 4.13.2
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             '@notionhq/client': 2.2.14(encoding@0.1.13)
             '@opensearch-project/opensearch': 1.2.0
@@ -24350,9 +24380,9 @@ snapshots:
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             - supports-color
 
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@@ -34456,7 +34486,7 @@ snapshots:
     jest-util@29.7.0:
         dependencies:
             '@jest/types': 29.6.3
-            '@types/node': 22.5.4
+            '@types/node': 22.16.3
             chalk: 4.1.2
             ci-info: 3.9.0
             graceful-fs: 4.2.11