diff --git a/components/x_ai/actions/create-embeddings/create-embeddings.mjs b/components/x_ai/actions/create-embeddings/create-embeddings.mjs
new file mode 100644
index 0000000000000..0090c3e80c394
--- /dev/null
+++ b/components/x_ai/actions/create-embeddings/create-embeddings.mjs
@@ -0,0 +1,57 @@
+import app from "../../x_ai.app.mjs";
+
+export default {
+  key: "x_ai-create-embeddings",
+  name: "Create Embedding",
+  description: "Create an embedding vector representation corresponding to the input text. [See the documentation](https://docs.x.ai/api/endpoints#create-embeddings)",
+  version: "0.0.2",
+  type: "action",
+  props: {
+    app,
+    embeddingModel: {
+      propDefinition: [
+        app,
+        "embeddingModel",
+      ],
+    },
+    input: {
+      propDefinition: [
+        app,
+        "input",
+      ],
+    },
+    dimensions: {
+      propDefinition: [
+        app,
+        "dimensions",
+      ],
+    },
+    encodingFormat: {
+      propDefinition: [
+        app,
+        "encodingFormat",
+      ],
+    },
+    user: {
+      propDefinition: [
+        app,
+        "user",
+      ],
+    },
+  },
+
+  async run({ $ }) {
+    const response = await this.app.createEmbeddings({
+      $,
+      data: {
+        dimensions: this.dimensions,
+        encoding_format: this.encodingFormat,
+        input: this.input,
+        model: this.embeddingModel,
+        user: this.user,
+      },
+    });
+    $.export("$summary", "Successfully created embedding");
+    return response;
+  },
+};
diff --git a/components/x_ai/actions/get-model/get-model.mjs b/components/x_ai/actions/get-model/get-model.mjs
index 528bac3a56062..10655a84d0189 100644
--- a/components/x_ai/actions/get-model/get-model.mjs
+++ b/components/x_ai/actions/get-model/get-model.mjs
@@ -4,7 +4,7 @@ export default {
   key: "x_ai-get-model",
   name: "Get Model",
   description: "List all language and embedding models available. [See the documentation](https://docs.x.ai/api/endpoints#get-model)",
-  version: "0.0.1",
+  version: "0.0.2",
   type: "action",
   props: {
     app,
@@ -21,9 +21,7 @@ export default {
       $,
       model: this.model,
     });
-
     $.export("$summary", `Successfully retrieved the '${this.model}' model`);
-
     return response;
   },
 };
diff --git a/components/x_ai/actions/post-chat-completion/post-chat-completion.mjs b/components/x_ai/actions/post-chat-completion/post-chat-completion.mjs
index 2132827b18a58..a9ed57210752d 100644
--- a/components/x_ai/actions/post-chat-completion/post-chat-completion.mjs
+++ b/components/x_ai/actions/post-chat-completion/post-chat-completion.mjs
@@ -4,7 +4,7 @@ export default {
   key: "x_ai-post-chat-completion",
   name: "Post Chat Completion",
   description: "Create a language model response for a chat conversation. [See the documentation](https://docs.x.ai/api/endpoints#chat-completions)",
-  version: "0.0.1",
+  version: "0.0.2",
   type: "action",
   props: {
     app,
@@ -20,6 +20,66 @@ export default {
         "message",
       ],
     },
+    frequencyPenalty: {
+      propDefinition: [
+        app,
+        "frequencyPenalty",
+      ],
+    },
+    logprobs: {
+      propDefinition: [
+        app,
+        "logprobs",
+      ],
+    },
+    maxTokens: {
+      propDefinition: [
+        app,
+        "maxTokens",
+      ],
+    },
+    n: {
+      propDefinition: [
+        app,
+        "n",
+      ],
+    },
+    presencePenalty: {
+      propDefinition: [
+        app,
+        "presencePenalty",
+      ],
+    },
+    seed: {
+      propDefinition: [
+        app,
+        "seed",
+      ],
+    },
+    stream: {
+      propDefinition: [
+        app,
+        "stream",
+      ],
+    },
+    temperature: {
+      propDefinition: [
+        app,
+        "temperature",
+      ],
+    },
+    topP: {
+      propDefinition: [
+        app,
+        "topP",
+      ],
+    },
+    user: {
+      propDefinition: [
+        app,
+        "user",
+      ],
+    },
   },
 
   async run({ $ }) {
@@ -28,16 +88,24 @@ export default {
       data: {
         model: this.model,
         messages: [
-          {
-            role: "user",
-            content: this.message,
+          {
+            role: "user",
+            content: this.message,
           },
         ],
+        frequency_penalty: Number(this.frequencyPenalty),
+        logprobs: this.logprobs,
+        max_tokens: this.maxTokens,
+        n: this.n,
+        presence_penalty: Number(this.presencePenalty),
+        seed: this.seed,
+        stream: this.stream,
+        temperature: Number(this.temperature),
+        top_p: Number(this.topP),
+        user: this.user,
       },
     });
-
     $.export("$summary", `Successfully sent message to the model '${this.model}'`);
-
     return response;
   },
 };
diff --git a/components/x_ai/actions/post-completion/post-completion.mjs b/components/x_ai/actions/post-completion/post-completion.mjs
index 2fd758abc85c9..e6ae9fdda99b2 100644
--- a/components/x_ai/actions/post-completion/post-completion.mjs
+++ b/components/x_ai/actions/post-completion/post-completion.mjs
@@ -4,7 +4,7 @@ export default {
   key: "x_ai-post-completion",
   name: "Post Completion",
   description: "Create a language model response for a given prompt. [See the documentation](https://docs.x.ai/api/endpoints#completions)",
-  version: "0.0.1",
+  version: "0.0.2",
   type: "action",
   props: {
     app,
@@ -20,6 +20,78 @@ export default {
         "prompt",
       ],
     },
+    echo: {
+      propDefinition: [
+        app,
+        "echo",
+      ],
+    },
+    frequencyPenalty: {
+      propDefinition: [
+        app,
+        "frequencyPenalty",
+      ],
+    },
+    logprobs: {
+      propDefinition: [
+        app,
+        "logprobs",
+      ],
+    },
+    maxTokens: {
+      propDefinition: [
+        app,
+        "maxTokens",
+      ],
+    },
+    n: {
+      propDefinition: [
+        app,
+        "n",
+      ],
+    },
+    presencePenalty: {
+      propDefinition: [
+        app,
+        "presencePenalty",
+      ],
+    },
+    seed: {
+      propDefinition: [
+        app,
+        "seed",
+      ],
+    },
+    stream: {
+      propDefinition: [
+        app,
+        "stream",
+      ],
+    },
+    suffix: {
+      propDefinition: [
+        app,
+        "suffix",
+      ],
+    },
+    temperature: {
+      propDefinition: [
+        app,
+        "temperature",
+      ],
+    },
+    topP: {
+      propDefinition: [
+        app,
+        "topP",
+      ],
+    },
+    user: {
+      propDefinition: [
+        app,
+        "user",
+      ],
+    },
   },
 
   async run({ $ }) {
@@ -28,11 +100,21 @@ export default {
       data: {
         model: this.model,
         prompt: this.prompt,
+        echo: this.echo,
+        frequency_penalty: Number(this.frequencyPenalty),
+        logprobs: this.logprobs,
+        max_tokens: this.maxTokens,
+        n: this.n,
+        presence_penalty: Number(this.presencePenalty),
+        seed: this.seed,
+        stream: this.stream,
+        suffix: this.suffix,
+        temperature: Number(this.temperature),
+        top_p: Number(this.topP),
+        user: this.user,
       },
     });
-
     $.export("$summary", `Successfully sent prompt to the model '${this.model}'`);
-
     return response;
   },
 };
diff --git a/components/x_ai/common/constants.mjs b/components/x_ai/common/constants.mjs
new file mode 100644
index 0000000000000..ecde3a72419cb
--- /dev/null
+++ b/components/x_ai/common/constants.mjs
@@ -0,0 +1,6 @@
+export default {
+  ENCODING_FORMATS: [
+    "float",
+    "base64",
+  ],
+};
diff --git a/components/x_ai/package.json b/components/x_ai/package.json
index 902290c662976..f5bc02777b51e 100644
--- a/components/x_ai/package.json
+++ b/components/x_ai/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@pipedream/x_ai",
-  "version": "0.1.0",
-  "description": "Pipedream X AI Components",
+  "version": "0.1.1",
+  "description": "Pipedream Chat Data Components",
   "main": "x_ai.app.mjs",
   "keywords": [
     "pipedream",
diff --git a/components/x_ai/x_ai.app.mjs b/components/x_ai/x_ai.app.mjs
index 328c89ebe813c..56a75ffe909b4 100644
--- a/components/x_ai/x_ai.app.mjs
+++ b/components/x_ai/x_ai.app.mjs
@@ -1,4 +1,5 @@
 import { axios } from "@pipedream/platform";
+import constants from "./common/constants.mjs";
 
 export default {
   type: "app",
@@ -7,15 +8,27 @@ export default {
     model: {
       type: "string",
       label: "Model",
-      description: "Specifies the model to be used for the request",
+      description: "ID of the embedding model to use",
       async options() {
-        const response = await this.listModels();
+        const response = await this.getModels();
         const modelsIds = response.data;
         return modelsIds.map(({ id }) => ({
           value: id,
         }));
       },
     },
+    embeddingModel: {
+      type: "string",
+      label: "Embedding Models",
+      description: "ID of the embedding model to use",
+      async options() {
+        const response = await this.getEmbeddingModels();
+        const embeddingModelsIds = response.models;
+        return embeddingModelsIds.map(({ id }) => ({
+          value: id,
+        }));
+      },
+    },
     prompt: {
       type: "string",
       label: "Prompt",
@@ -26,6 +39,96 @@ export default {
       label: "Message",
       description: "Message for the chat completion",
     },
+    echo: {
+      type: "boolean",
+      label: "Echo",
+      description: "Option to include the original prompt in the response along with the generated completion",
+      optional: true,
+    },
+    frequencyPenalty: {
+      type: "string",
+      label: "Frequency Penalty",
+      description: "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim",
+      optional: true,
+    },
+    logprobs: {
+      type: "boolean",
+      label: "Log Probabilities",
+      description: "Include the log probabilities on the `logprobs` most likely output tokens, as well the chosen tokens",
+      optional: true,
+    },
+    maxTokens: {
+      type: "integer",
+      label: "Max Tokens",
+      description: "Limits the number of tokens that can be produced in the output",
+      optional: true,
+    },
+    n: {
+      type: "integer",
+      label: "Completion Number",
+      description: "Determines how many completion sequences to produce for each prompt. Be cautious with its use due to high token consumption",
+      optional: true,
+    },
+    presencePenalty: {
+      type: "string",
+      label: "Presence Penalty",
+      description: "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics",
+      optional: true,
+    },
+    seed: {
+      type: "integer",
+      label: "Seed",
+      description: "If specified, our system will make a best effort to sample deterministically",
+      optional: true,
+    },
+    stream: {
+      type: "boolean",
+      label: "Stream",
+      description: "Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available",
+      optional: true,
+    },
+    suffix: {
+      type: "string",
+      label: "Suffix",
+      description: "Optional string to append after the generated text",
+      optional: true,
+    },
+    temperature: {
+      type: "string",
+      label: "Temperature",
+      description: "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic",
+      optional: true,
+    },
+    topP: {
+      type: "string",
+      label: "Nucleus Sampling",
+      description: "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with `top_p` probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered",
+      optional: true,
+    },
+    user: {
+      type: "string",
+      label: "User",
+      description: "A unique identifier representing your end-user, which can help xAI to monitor and detect abuse",
+      optional: true,
+    },
+    dimensions: {
+      type: "integer",
+      label: "Dimensions",
+      description: "The number of dimensions the resulting output embeddings should have",
+      optional: true,
+    },
+    encodingFormat: {
+      type: "string",
+      label: "Encoding Format",
+      description: "The format to return the embeddings in",
+      optional: true,
+      options: constants.ENCODING_FORMATS,
+    },
+    input: {
+      type: "string[]",
+      label: "Input",
+      description: "Text input to be converted into an embedding",
+    },
   },
   methods: {
     _baseUrl() {
@@ -61,6 +164,13 @@ export default {
         ...args,
       });
     },
+    async createEmbeddings(args = {}) {
+      return this._makeRequest({
+        path: "/v1/embeddings",
+        method: "post",
+        ...args,
+      });
+    },
     async getModel({
       model, ...args
     }) {
@@ -69,11 +179,17 @@ export default {
         ...args,
       });
     },
-    async listModels(args = {}) {
+    async getModels(args = {}) {
       return this._makeRequest({
         path: "/v1/models",
         ...args,
       });
     },
+    async getEmbeddingModels(args = {}) {
+      return this._makeRequest({
+        path: "/v1/embedding-models",
+        ...args,
+      });
+    },
   },
 };