fix logstash loading bug

Author: sestinj

core/control-plane/analytics/LogStashAnalyticsProvider.ts

@@ -30,7 +30,8 @@ export default class LogStashAnalyticsProvider implements IAnalyticsProvider {
 
   async setup(config: Analytics, uniqueId: string): Promise<void> {
     if (!config.url) {
-      throw new Error("Missing url in analytics config");
+      console.warn("LogStashAnalyticsProvider is missing a URL");
+      return;
     }
     const url = new URL(config.url);
     this.host = url.hostname;

docs/static/schemas/config.json

@@ -198,6 +198,7 @@
             "### Anthropic\nTo get started with Anthropic models, you first need to sign up for the open beta [here](https://claude.ai/login) to obtain an API key.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/anthropicllm)",
             "### Cohere\nTo use Cohere, visit the [Cohere dashboard](https://dashboard.cohere.com/api-keys) to create an API key.\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/cohere)",
             "### Bedrock\nTo get started with Bedrock you need to sign up on AWS [here](https://aws.amazon.com/bedrock/claude/)",
+            "### Sagemaker\nSagemaker is AWS' machine learning platform.",
             "### Together\nTogether is a hosted service that provides extremely fast streaming of open-source language models. To get started with Together:\n1. Obtain an API key from [here](https://together.ai)\n2. Paste below\n3. Select a model preset\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/togetherllm)",
             "### Ollama\nTo get started with Ollama, follow these steps:\n1. Download from [ollama.ai](https://ollama.ai/) and open the application\n2. Open a terminal and run `ollama run <MODEL_NAME>`. Example model names are `codellama:7b-instruct` or `llama2:7b-text`. You can find the full list [here](https://ollama.ai/library).\n3. Make sure that the model name used in step 2 is the same as the one in config.json (e.g. `model=\"codellama:7b-instruct\"`)\n4. Once the model has finished downloading, you can start asking questions through Continue.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/ollama)",
             "### Huggingface TGI\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/huggingfacetgi)",

extensions/intellij/src/main/resources/config_schema.json

@@ -198,6 +198,7 @@
             "### Anthropic\nTo get started with Anthropic models, you first need to sign up for the open beta [here](https://claude.ai/login) to obtain an API key.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/anthropicllm)",
             "### Cohere\nTo use Cohere, visit the [Cohere dashboard](https://dashboard.cohere.com/api-keys) to create an API key.\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/cohere)",
             "### Bedrock\nTo get started with Bedrock you need to sign up on AWS [here](https://aws.amazon.com/bedrock/claude/)",
+            "### Sagemaker\nSagemaker is AWS' machine learning platform.",
             "### Together\nTogether is a hosted service that provides extremely fast streaming of open-source language models. To get started with Together:\n1. Obtain an API key from [here](https://together.ai)\n2. Paste below\n3. Select a model preset\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/togetherllm)",
             "### Ollama\nTo get started with Ollama, follow these steps:\n1. Download from [ollama.ai](https://ollama.ai/) and open the application\n2. Open a terminal and run `ollama run <MODEL_NAME>`. Example model names are `codellama:7b-instruct` or `llama2:7b-text`. You can find the full list [here](https://ollama.ai/library).\n3. Make sure that the model name used in step 2 is the same as the one in config.json (e.g. `model=\"codellama:7b-instruct\"`)\n4. Once the model has finished downloading, you can start asking questions through Continue.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/ollama)",
             "### Huggingface TGI\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/huggingfacetgi)",

extensions/vscode/continue_rc_schema.json

@@ -201,6 +201,7 @@
             "### Anthropic\nTo get started with Anthropic models, you first need to sign up for the open beta [here](https://claude.ai/login) to obtain an API key.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/anthropicllm)",
             "### Cohere\nTo use Cohere, visit the [Cohere dashboard](https://dashboard.cohere.com/api-keys) to create an API key.\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/cohere)",
             "### Bedrock\nTo get started with Bedrock you need to sign up on AWS [here](https://aws.amazon.com/bedrock/claude/)",
+            "### Sagemaker\nSagemaker is AWS' machine learning platform.",
             "### Together\nTogether is a hosted service that provides extremely fast streaming of open-source language models. To get started with Together:\n1. Obtain an API key from [here](https://together.ai)\n2. Paste below\n3. Select a model preset\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/togetherllm)",
             "### Ollama\nTo get started with Ollama, follow these steps:\n1. Download from [ollama.ai](https://ollama.ai/) and open the application\n2. Open a terminal and run `ollama run <MODEL_NAME>`. Example model names are `codellama:7b-instruct` or `llama2:7b-text`. You can find the full list [here](https://ollama.ai/library).\n3. Make sure that the model name used in step 2 is the same as the one in config.json (e.g. `model=\"codellama:7b-instruct\"`)\n4. Once the model has finished downloading, you can start asking questions through Continue.\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/ollama)",
             "### Huggingface TGI\n\n> [Reference](https://docs.continue.dev/reference/Model%20Providers/huggingfacetgi)",