openapi: 3.0.0 info: title: AIMLAPI AI/ML API Documentation description: >- =K Welcome to the [AI/ML API](https://aimlapi.com/) docs! AI/ML API makes integrating state-of-the-art AI models into your applications effortless, offering seamless compatibility with OpenAI-like interfaces. **Features Include:** - **Inference**: Easily evaluate models for text, images, and more using our API. - **API Key Management**: Securely manage your API keys for controlled access. - **Broad Model Selection**: Access a diverse range of models for various AI tasks. See Quickstart version: 1.0.0 servers: - url: http://{{baseurl}} components: securitySchemes: bearerAuth: type: http scheme: bearer security: - bearerAuth: [] tags: - name: '[WIP] Completions' - name: API Key Management description: >- ## **Creating an API Key** To create a new API key Sign-ip to [app.aimlapi.com](https://app.aimlapi.com), navigate to Key Management page and create an API Key Note that your Keys only work with an Active Subscription ## **Disabling an API Key** If you need to revoke access temporarily, disable an API key by: - Sending a PUT request to `/service/api-keys/{id}/disable`, replacing `{id}` with the key's unique identifier. - This will change the key's status to inactive. ## **Enabling an API Key** To restore access using a previously disabled API key: - Send a PUT request to `/service/api-keys/{id}/enable`, replacing `{id}` with the key's unique identifier. - The key's status will be updated to active. ## **Best Practices** - Regularly review and manage your API keys to ensure optimal security. - Use separate keys for different services or environments to limit the scope of access. - Rotate your API keys periodically to reduce the risk of unauthorized use. By effectively managing your API keys, you maintain control over who can access your AI/ML API services and safeguard your resources. - name: Assistants - name: Chat - name: Images description: Given a prompt and/or an input image, the model will generate a new image. - name: Models description: >- List and describe the various models available in the API. You can refer to the [Models](https://aimlapi.com/models) documentation to understand what models are available and the differences between them. AI/ML API provides a suite of powerful, serverless models for seamless integration into your applications. **Chat Models** Leverage our sophisticated Chat Models for real-time conversation interfaces. | Organization | Model Name | Model String for API | Context length | | --- | --- | --- | --- | | 01.AI | 01-ai Yi Chat (34B) | zero-one-ai/Yi-34B-Chat | 4096 | | Austism | Chronos Hermes (13B) | Austism/chronos-hermes-13b | 2048 | | DeepSeek | Deepseek Coder Instruct (33B) | deepseek-ai/deepseek-coder-33b-instruct | 16384 | | garage-bAInd | Platypus2 Instruct (70B) | garage-bAInd/Platypus2-70B-instruct | 4096 | | Google | Gemma Instruct (2B) | google/gemma-2b-it | 8192 | | Google | Gemma Instruct (7B) | google/gemma-7b-it | 8192 | | Gryphe | MythoMax-L2 (13B) | Gryphe/MythoMax-L2-13b | 4096 | | LM Sys | Vicuna v1.5 (13B) | lmsys/vicuna-13b-v1.5 | 4096 | | LM Sys | Vicuna v1.5 (7B) | lmsys/vicuna-7b-v1.5 | 4096 | | Meta | Code Llama Instruct (13B) | codellama/CodeLlama-13b-Instruct-hf | 16384 | | Meta | Code Llama Instruct (34B) | codellama/CodeLlama-34b-Instruct-hf | 16384 | | Meta | Code Llama Instruct (70B) | codellama/CodeLlama-70b-Instruct-hf | 4096 | | Meta | Code Llama Instruct (7B) | codellama/CodeLlama-7b-Instruct-hf | 16384 | | Meta | LLaMA-2 Chat (70B) | meta-llama/Llama-2-70b-chat-hf | 4096 | | Meta | LLaMA-2 Chat (13B) | meta-llama/Llama-2-13b-chat-hf | 4096 | | Meta | LLaMA-2 Chat (7B) | meta-llama/Llama-2-7b-chat-hf | 4096 | | mistralai | Mistral (7B) Instruct | mistralai/Mistral-7B-Instruct-v0.1 | 4096 | | mistralai | Mistral (7B) Instruct v0.2 | mistralai/Mistral-7B-Instruct-v0.2 | 32768 | | mistralai | Mixtral-8x7B Instruct (46.7B) | mistralai/Mixtral-8x7B-Instruct-v0.1 | 32768 | | NousResearch | Nous Capybara v1.9 (7B) | NousResearch/Nous-Capybara-7B-V1p9 | 8192 | | NousResearch | Nous Hermes 2 - Mixtral 8x7B-DPO (46.7B) | NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO | 32768 | | NousResearch | Nous Hermes 2 - Mixtral 8x7B-SFT (46.7B) | NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT | 32768 | | NousResearch | Nous Hermes LLaMA-2 (7B) | NousResearch/Nous-Hermes-llama-2-7b | 4096 | | NousResearch | Nous Hermes Llama-2 (13B) | NousResearch/Nous-Hermes-Llama2-13b | 4096 | | NousResearch | Nous Hermes-2 Yi (34B) | NousResearch/Nous-Hermes-2-Yi-34B | 4096 | | OpenChat | OpenChat 3.5 (7B) | openchat/openchat-3.5-1210 | 8192 | | OpenOrca | OpenOrca Mistral (7B) 8K | Open-Orca/Mistral-7B-OpenOrca | 8192 | | Qwen | Qwen-Chat (7B) | togethercomputer/Qwen-7B-Chat | 8192 | | Qwen | Qwen 1.5 Chat (0.5B) | Qwen/Qwen1.5-0.5B-Chat | 32768 | | Qwen | Qwen 1.5 Chat (1.8B) | Qwen/Qwen1.5-1.8B-Chat | 32768 | | Qwen | Qwen 1.5 Chat (4B) | Qwen/Qwen1.5-4B-Chat | 32768 | | Qwen | Qwen 1.5 Chat (7B) | Qwen/Qwen1.5-7B-Chat | 32768 | | Qwen | Qwen 1.5 Chat (14B) | Qwen/Qwen1.5-14B-Chat | 32768 | | Qwen | Qwen 1.5 Chat (72B) | Qwen/Qwen1.5-72B-Chat | 4096 | | Snorkel AI | Snorkel Mistral PairRM DPO (7B) | snorkelai/Snorkel-Mistral-PairRM-DPO | 32768 | | Stanford | Alpaca (7B) | togethercomputer/alpaca-7b | 2048 | | Teknium | OpenHermes-2-Mistral (7B) | teknium/OpenHermes-2-Mistral-7B | 8192 | | Teknium | OpenHermes-2.5-Mistral (7B) | teknium/OpenHermes-2p5-Mistral-7B | 8192 | | TII UAE | Falcon Instruct (40B) | togethercomputer/falcon-40b-instruct | 2048 | | TII UAE | Falcon Instruct (7B) | togethercomputer/falcon-7b-instruct | 2048 | | Together | LLaMA-2-7B-32K-Instruct (7B) | togethercomputer/Llama-2-7B-32K-Instruct | 32768 | | Together | RedPajama-INCITE Chat (3B) | togethercomputer/RedPajama-INCITE-Chat-3B-v1 | 2048 | | Together | RedPajama-INCITE Chat (7B) | togethercomputer/RedPajama-INCITE-7B-Chat | 2048 | | Together | StripedHyena Nous (7B) | togethercomputer/StripedHyena-Nous-7B | 32768 | | Undi95 | ReMM SLERP L2 (13B) | Undi95/ReMM-SLERP-L2-13B | 4096 | | Undi95 | Toppy M (7B) | Undi95/Toppy-M-7B | 4096 | | WizardLM | WizardLM v1.2 (13B) | WizardLM/WizardLM-13B-V1.2 | 4096 | | upstage | Upstage SOLAR Instruct v1 (11B) | upstage/SOLAR-10.7B-Instruct-v1.0 | 4096 | **Code Models** Access our Code Models to automate coding tasks, bug fixes, or code generation. | Organization | Model Name | Model String for API | Context length | | --- | --- | --- | --- | | Meta | Code Llama Python (70B) | codellama/CodeLlama-70b-Python-hf | 4096 | | Meta | Code Llama Python (34B) | codellama/CodeLlama-34b-Python-hf | 16384 | | Meta | Code Llama Python (13B) | codellama/CodeLlama-13b-Python-hf | 16384 | | Meta | Code Llama Python (7B) | codellama/CodeLlama-7b-Python-hf | 16384 | | Phind | Phind Code LLaMA v2 (34B) | Phind/Phind-CodeLlama-34B-v2 | 16384 | | WizardLM | WizardCoder Python v1.0 (34B) | WizardLM/WizardCoder-Python-34B-V1.0 | 8192 | | WizardLM | WizardCoder v1.0 (15B) | WizardLM/WizardCoder-15B-V1.0 | 8192 | **Image Models** Explore creative boundaries with our Image Models, perfect for generating or editing visuals. | Organization | Model Name | Model String for API | | --- | --- | --- | | Prompt Hero | Openjourney v4 | prompthero/openjourney | | Runway ML | Stable Diffusion 1.5 | runwayml/stable-diffusion-v1-5 | | SG161222 | Realistic Vision 3.0 | SG161222/Realistic_Vision_V3.0_VAE | | Stability AI | Stable Diffusion 2.1 | stabilityai/stable-diffusion-2-1 | | Stability AI | Stable Diffusion XL 1.0 | stabilityai/stable-diffusion-xl-base-1.0 | | Wavymulder | Analog Diffusion | wavymulder/Analog-Diffusion | **Model Request** Can't find the model you need? Join our [Discord community](https://discord.gg/vayNtU9ThM) to propose new models for integration into our API offerings. Your contributions help us grow and serve you better. For a complete list of models and their identifiers, refer to the table provided in the API documentation. - name: Threads - name: Threads > Messages - name: Threads > Runs - name: Voice paths: /api-keys/{id}/disable: put: tags: - API Key Management summary: AIMLAPI Disable API Key requestBody: content: {} parameters: - name: id in: path schema: type: string required: true description: '(Required) ' example: responses: '200': description: OK content: text/plain: schema: type: string example: '' x-microcks-operation: delay: 0 dispatcher: FALLBACK /api-keys/{id}/enable: put: tags: - API Key Management summary: AIMLAPI Enable API Key requestBody: content: {} parameters: - name: id in: path schema: type: string required: true description: '(Required) ' example: responses: '200': description: OK content: text/plain: schema: type: string example: '' x-microcks-operation: delay: 0 dispatcher: FALLBACK /models: get: tags: - Models summary: AIMLAPI List Models description: >- Lists the currently available engines, and provides basic information about each one such as the owner and availability. responses: '200': description: OK headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '6976' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Mon, 22 Apr 2024 11:59:44 GMT Etag: schema: type: string example: W/"1b40-V7WXU699F8zl8h8c2ur/iCcz0FA" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: zero-one-ai/Yi-34B-Chat: together.ai allenai/OLMo-7B-Instruct: together.ai allenai/OLMo-7B-Twin-2T: together.ai allenai/OLMo-7B: together.ai Austism/chronos-hermes-13b: together.ai cognitivecomputations/dolphin-2.5-mixtral-8x7b: together.ai deepseek-ai/deepseek-coder-33b-instruct: together.ai deepseek-ai/deepseek-llm-67b-chat: together.ai garage-bAInd/Platypus2-70B-instruct: together.ai google/gemma-2b-it: together.ai google/gemma-7b-it: together.ai Gryphe/MythoMax-L2-13b: together.ai lmsys/vicuna-13b-v1.5: together.ai lmsys/vicuna-7b-v1.5: together.ai codellama/CodeLlama-13b-Instruct-hf: together.ai codellama/CodeLlama-34b-Instruct-hf: together.ai codellama/CodeLlama-70b-Instruct-hf: together.ai codellama/CodeLlama-7b-Instruct-hf: together.ai meta-llama/Llama-2-70b-chat-hf: together.ai meta-llama/Llama-2-13b-chat-hf: together.ai meta-llama/Llama-2-7b-chat-hf: together.ai mistralai/Mistral-7B-Instruct-v0.1: together.ai mistralai/Mistral-7B-Instruct-v0.2: together.ai mistralai/Mixtral-8x7B-Instruct-v0.1: together.ai NousResearch/Nous-Capybara-7B-V1p9: together.ai NousResearch/Nous-Hermes-2-Mistral-7B-DPO: together.ai NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO: together.ai NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT: together.ai NousResearch/Nous-Hermes-llama-2-7b: together.ai NousResearch/Nous-Hermes-Llama2-13b: together.ai NousResearch/Nous-Hermes-2-Yi-34B: together.ai openchat/openchat-3.5-1210: together.ai Open-Orca/Mistral-7B-OpenOrca: together.ai Qwen/Qwen1.5-0.5B-Chat: together.ai Qwen/Qwen1.5-1.8B-Chat: together.ai Qwen/Qwen1.5-4B-Chat: together.ai Qwen/Qwen1.5-7B-Chat: together.ai Qwen/Qwen1.5-14B-Chat: together.ai Qwen/Qwen1.5-72B-Chat: together.ai snorkelai/Snorkel-Mistral-PairRM-DPO: together.ai togethercomputer/alpaca-7b: together.ai teknium/OpenHermes-2-Mistral-7B: together.ai teknium/OpenHermes-2p5-Mistral-7B: together.ai togethercomputer/Llama-2-7B-32K-Instruct: together.ai togethercomputer/RedPajama-INCITE-Chat-3B-v1: together.ai togethercomputer/RedPajama-INCITE-7B-Chat: together.ai togethercomputer/StripedHyena-Nous-7B: together.ai Undi95/ReMM-SLERP-L2-13B: together.ai Undi95/Toppy-M-7B: together.ai WizardLM/WizardLM-13B-V1.2: together.ai upstage/SOLAR-10.7B-Instruct-v1.0: together.ai zero-one-ai/Yi-34B: together.ai zero-one-ai/Yi-6B: together.ai google/gemma-2b: together.ai google/gemma-7b: together.ai meta-llama/Llama-2-70b-hf: together.ai meta-llama/Llama-2-13b-hf: together.ai meta-llama/Llama-2-7b-hf: together.ai microsoft/phi-2: together.ai Nexusflow/NexusRaven-V2-13B: together.ai Qwen/Qwen1.5-0.5B: together.ai Qwen/Qwen1.5-1.8B: together.ai Qwen/Qwen1.5-4B: together.ai Qwen/Qwen1.5-7B: together.ai Qwen/Qwen1.5-14B: together.ai Qwen/Qwen1.5-72B: together.ai togethercomputer/GPT-JT-Moderation-6B: together.ai togethercomputer/LLaMA-2-7B-32K: together.ai togethercomputer/RedPajama-INCITE-Base-3B-v1: together.ai togethercomputer/RedPajama-INCITE-7B-Base: together.ai togethercomputer/RedPajama-INCITE-Instruct-3B-v1: together.ai togethercomputer/RedPajama-INCITE-7B-Instruct: together.ai togethercomputer/StripedHyena-Hessian-7B: together.ai mistralai/Mistral-7B-v0.1: together.ai mistralai/Mixtral-8x7B-v0.1: together.ai codellama/CodeLlama-70b-Python-hf: together.ai codellama/CodeLlama-34b-Python-hf: together.ai codellama/CodeLlama-13b-Python-hf: together.ai codellama/CodeLlama-7b-Python-hf: together.ai Phind/Phind-CodeLlama-34B-v2: together.ai WizardLM/WizardCoder-Python-34B-V1.0: together.ai Meta-Llama/Llama-Guard-7b: together.ai togethercomputer/evo-1-8k-base: together.ai togethercomputer/evo-1-131k-base: together.ai databricks/dolly-v2-12b: together.ai databricks/dolly-v2-3b: together.ai databricks/dolly-v2-7b: together.ai DiscoResearch/DiscoLM-mixtral-8x7b-v2: together.ai HuggingFaceH4/zephyr-7b-beta: together.ai HuggingFaceH4/starchat-alpha: together.ai OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5: together.ai OpenAssistant/stablelm-7b-sft-v7-epoch-3: together.ai togethercomputer/Koala-13B: together.ai togethercomputer/Koala-7B: together.ai lmsys/vicuna-13b-v1.3: together.ai lmsys/vicuna-7b-v1.3: together.ai lmsys/fastchat-t5-3b-v1.0: together.ai togethercomputer/mpt-30b-chat: together.ai togethercomputer/mpt-7b-chat: together.ai NousResearch/Nous-Hermes-Llama2-70b: together.ai Qwen/Qwen-7B-Chat: together.ai Qwen/Qwen-14B-Chat: together.ai tiiuae/falcon-7b-instruct: together.ai tiiuae/falcon-40b-instruct: together.ai togethercomputer/guanaco-13b: together.ai togethercomputer/guanaco-33b: together.ai togethercomputer/guanaco-65b: together.ai togethercomputer/guanaco-7b: together.ai togethercomputer/GPT-NeoXT-Chat-Base-20B: together.ai togethercomputer/Pythia-Chat-Base-7B-v0.16: together.ai defog/sqlcoder: together.ai EleutherAI/gpt-j-6b: together.ai EleutherAI/gpt-neox-20b: together.ai EleutherAI/llemma_7b: together.ai EleutherAI/pythia-12b-v0: together.ai EleutherAI/pythia-1b-v0: together.ai EleutherAI/pythia-2.8b-v0: together.ai EleutherAI/pythia-6.9b: together.ai google/flan-t5-xl: together.ai google/flan-t5-xxl: together.ai huggyllama/llama-7b: together.ai huggyllama/llama-13b: together.ai huggyllama/llama-30b: together.ai huggyllama/llama-65b: together.ai mosaicml/mpt-7b: together.ai mosaicml/mpt-7b-instruct: together.ai NousResearch/Nous-Hermes-13b: together.ai NumbersStation/nsql-6B: together.ai Qwen/Qwen-7B: together.ai Qwen/Qwen-14B: together.ai stabilityai/stablelm-base-alpha-3b: together.ai stabilityai/stablelm-base-alpha-7b: together.ai tiiuae/falcon-7b: together.ai tiiuae/falcon-40b: together.ai togethercomputer/GPT-JT-6B-v1: together.ai WizardLM/WizardLM-70B-V1.0: together.ai bigcode/starcoder: together.ai codellama/CodeLlama-70b-hf: together.ai NumbersStation/nsql-llama-2-7B: together.ai Phind/Phind-CodeLlama-34B-Python-v1: together.ai replit/replit-code-v1-3b: together.ai Salesforce/codegen2-16B: together.ai Salesforce/codegen2-7B: together.ai meta-llama/Llama-3-8b-chat-hf: together.ai meta-llama/Llama-3-70b-chat-hf: together.ai meta-llama/Llama-3-8b-hf: together.ai meta-llama/Meta-Llama-3-70B: together.ai meta-llama/LlamaGuard-2-8b: together.ai databricks/dbrx-instruct: together.ai mistralai/Mixtral-8x22B-Instruct-v0.1: together.ai mistralai/Mixtral-8x22B: together.ai gpt-4: openai gpt-4-0613: openai gpt-4-32k: openai gpt-4-32k-0613: openai gpt-3.5-turbo-0125: openai gpt-3.5-turbo: openai gpt-3.5-turbo-1106: openai gpt-3.5-turbo-instruct: openai gpt-3.5-turbo-16k: openai gpt-3.5-turbo-0613: openai gpt-3.5-turbo-16k-0613: openai x-microcks-operation: delay: 0 dispatcher: FALLBACK /threads/{threadId}/runs: get: tags: - Threads > Runs summary: AIMLAPI Get Runs parameters: - name: threadId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK post: tags: - Threads > Runs summary: AIMLAPI Create Run requestBody: content: application/json: schema: type: object example: assistant_id: 0058b312-ff12-4508-9893-10375dedc925 stream: false metadata: {} parameters: - name: threadId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /threads/{threadId}/runs/{runId}: post: tags: - Threads > Runs summary: AIMLAPI Update Run requestBody: content: application/json: schema: type: object example: metadata: {} parameters: - name: threadId in: path schema: type: string required: true example: '500123' - name: runId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK get: tags: - Threads > Runs summary: AIMLAPI Get Run parameters: - name: threadId in: path schema: type: string required: true example: '500123' - name: runId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /threads/{threadId}/messages: get: tags: - Threads > Messages summary: AIMLAPI Get Messages parameters: - name: limit in: query schema: type: string example: example_value - name: order in: query schema: type: string example: example_value - name: before in: query schema: type: string example: example_value - name: after in: query schema: type: string example: example_value - name: threadId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK post: tags: - Threads > Messages summary: AIMLAPI Create Message requestBody: content: application/json: schema: type: object example: role: user content: Why the sky is blue? metadata: {} parameters: - name: threadId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /threads/{threadId}/messages/{messageId}: get: tags: - Threads > Messages summary: AIMLAPI Get Message parameters: - name: threadId in: path schema: type: string required: true example: '500123' - name: messageId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK post: tags: - Threads > Messages summary: AIMLAPI Update Message requestBody: content: application/json: schema: type: object example: metadata: {} parameters: - name: threadId in: path schema: type: string required: true example: '500123' - name: messageId in: path schema: type: string required: true example: '500123' responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /threads: post: tags: - Threads summary: AIMLAPI Create Thread requestBody: content: application/json: schema: type: object example: messages: - role: user content: What are you doing? metadata: {} responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '101' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 24 Apr 2024 07:37:56 GMT Etag: schema: type: string example: W/"65-ZMUAEplUbih0VY/ucxJH7zy5Kdo" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: id: 3a06d500-08fc-428e-862e-9a09099bf4c3 object: thread created_at: 1713944276 metadata: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /assistants: get: tags: - Assistants summary: AIMLAPI List Your Assistants responses: '200': description: OK headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '340' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 24 Apr 2024 07:14:13 GMT Etag: schema: type: string example: W/"154-o64XKfqEtd0/3f6WvJ7kooRvYbk" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: object: list data: - id: 0058b312-ff12-4508-9893-10375dedc925 created_at: 1712828845 object: assistant description: AI Chatbot file_ids: [] instructions: >- You are an AI Assistant. No matter what user says, respond with Hello Sir! metadata: {} model: mistralai/Mistral-7B-Instruct-v0.1 name: AI Chatbot tools: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK post: tags: - Assistants summary: AIMLAPI Create Assistant requestBody: content: application/json: schema: type: object example: name: Friendly assistant description: Always reply with the 'Hello Sir!' model: mistralai/Mistral-7B-Instruct-v0.1 instructions: No matter what the user says, reply him with the 'Hello Sir' metadata: {} responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '331' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 24 Apr 2024 07:19:25 GMT Etag: schema: type: string example: W/"14b-VzG8LqfdCCdYy7WIn+Nl+yzqmI0" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: id: 6cd55ad8-3c4c-46fa-915e-7cb1ec0bf4a8 object: assistant name: Friendly assistant description: Always reply with the 'Hello Sir!' model: mistralai/Mistral-7B-Instruct-v0.1 created_at: 1713943165 file_ids: [] instructions: No matter what the user says, reply him with the 'Hello Sir' metadata: {} tools: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK /assistants/{assistantId}: get: tags: - Assistants summary: AIMLAPI Get Assistant parameters: - name: assistantId in: path schema: type: string required: true example: '500123' responses: '200': description: OK headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '313' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 24 Apr 2024 07:25:43 GMT Etag: schema: type: string example: W/"139-6MvScb7a/FzJUsfH0YoRmXQZf6Q" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: id: 0058b312-ff12-4508-9893-10375dedc925 object: assistant created_at: 1712828845 description: AI Chatbot file_ids: [] instructions: >- You are an AI Assistant. No matter what user says, respond with Hello Sir! metadata: {} model: mistralai/Mistral-7B-Instruct-v0.1 name: AI Chatbot tools: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK post: tags: - Assistants summary: AIMLAPI Update Assistant requestBody: content: application/json: schema: type: object example: instructions: >- You are an AI Assistant. No matter what user says, respond with 'Hello, madam.' parameters: - name: assistantId in: path schema: type: string required: true example: '500123' responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '318' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 24 Apr 2024 07:28:58 GMT Etag: schema: type: string example: W/"13e-dM0QWoN3rbZBTDu+yRh06epz4Ww" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: id: 0058b312-ff12-4508-9893-10375dedc925 object: assistant name: AI Chatbot description: AI Chatbot model: mistralai/Mistral-7B-Instruct-v0.1 created_at: 1712828845 file_ids: [] instructions: >- You are an AI Assistant. No matter what user says, respond with 'Hello, madam.' metadata: {} tools: [] x-microcks-operation: delay: 0 dispatcher: FALLBACK /chat/completions: post: tags: - Chat summary: AIMLAPI Create Chat Message Completion description: You can read about parameters here. requestBody: content: application/json: schema: type: object example: model: '{{llmModel}}' messages: - role: user content: Who won the world series in 2020? - role: assistant content: The Los Angeles Dodgers won the World Series in 2020. - role: user content: Where was it played? temperature: 1 top_p: 1 'n': 1 stream: false max_tokens: 250 presence_penalty: 0 frequency_penalty: 0 parameters: - name: Content-Type in: header schema: type: string example: application/json - name: Accept in: header schema: type: string example: application/json responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '568' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Mon, 22 Apr 2024 12:20:25 GMT Etag: schema: type: string example: W/"238-2D9iLg+dO3KTtrTjMwcYdpNqeQY" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: id: 878591576bebef4b-PDX object: chat.completion created: 1713788425 model: mistralai/Mistral-7B-Instruct-v0.2 prompt: [] choices: - finish_reason: eos logprobs: index: 0 message: role: assistant content: ' The 2020 World Series was played at Globe Life Field in Arlington, Texas. It was played with no fans in attendance due to the COVID-19 pandemic. This was the first time in the history of the World Series that it was played in its entirety in a single site.' usage: prompt_tokens: 52 completion_tokens: 64 total_tokens: 116 x-microcks-operation: delay: 0 dispatcher: FALLBACK /images/generations: post: tags: - Images summary: AIMLAPI Create Image description: Creates an image given a prompt. requestBody: content: application/json: schema: type: object example: prompt: A cute baby sea otter 'n': 2 size: 1024x1024 model: '{{ttiModel}}' responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '99761' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Mon, 22 Apr 2024 12:29:29 GMT Etag: schema: type: string example: W/"185b1-tGM+qC1dRdWHAD+KV0zIj0bgaW0" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: status: finished prompt: - A cute baby sea otter model: stabilityai/stable-diffusion-xl-base-1.0 model_owner: '' tags: {} num_returns: 2 args: model: stabilityai/stable-diffusion-xl-base-1.0 prompt: A cute baby sea otter 'n': 2 steps: 25 size: 1024x1024 subjobs: [] output: choices: - image_base64: >- 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 request_id: 87859e8fddaf69d4-PDX result_type: image-model-inference x-microcks-operation: delay: 0 dispatcher: FALLBACK /completions: post: tags: - '[WIP] Completions' summary: AIMLAPI Create Completion description: Creates a completion for the provided prompt and parameters. requestBody: content: application/json: schema: type: object example: model: '{{llmModel}}' prompt: Write a limmerick about APIs max_tokens: 250 temperature: 0.7 responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK /stt: post: tags: - Voice summary: AIMLAPI Speech to Text requestBody: content: application/json: schema: type: object example: model: '{{sstModel}}' url: >- https://audio-samples.github.io/samples/mp3/blizzard_unconditional/sample-0.mp3 responses: '201': description: Created headers: Access-Control-Allow-Origin: schema: type: string example: '*' Content-Length: schema: type: integer example: '2821' Content-Type: schema: type: string example: application/json; charset=utf-8 Date: schema: type: string example: Wed, 08 May 2024 10:18:53 GMT Etag: schema: type: string example: W/"b05-3s5wbmIwoFQ7Zpi3CB62q8npC00" X-Powered-By: schema: type: string example: Express content: application/json: schema: type: object example: metadata: transaction_key: deprecated request_id: a6318d7e-b9ad-438a-99cd-c5a26044ad7b sha256: >- fbdd3587f273e3bd0d826e36a3868ca05dedc1a3f349faa5f28e52b5370b656f created: '2024-05-08T10:18:52.928Z' duration: 10.109375 channels: 1 models: - 1abfe86b-e047-4eed-858a-35e5625b41ee model_info: 1abfe86b-e047-4eed-858a-35e5625b41ee: name: 2-general-nova version: 2024-01-06.5664 arch: nova-2 results: channels: - alternatives: - transcript: >- my thought i have nobody by a beauty and will as you toward mister rochester is served in that so don't find simpus and devoted to bowed to that might in a confidence: 0.9334016 words: - word: my start: 0.24 end: 0.48 confidence: 0.7677139 - word: thought start: 0.48 end: 0.88 confidence: 0.860146 - word: i start: 0.88 end: 0.96 confidence: 0.9993 - word: have start: 0.96 end: 1.1999999 confidence: 0.9975178 - word: nobody start: 1.1999999 end: 1.5999999 confidence: 0.9981421 - word: by start: 1.5999999 end: 1.7199999 confidence: 0.89347184 - word: a start: 1.7199999 end: 1.8399999 confidence: 0.9539643 - word: beauty start: 1.8399999 end: 2.1599998 confidence: 0.99679714 - word: and start: 2.1599998 end: 2.32 confidence: 0.86830604 - word: will start: 2.32 end: 2.48 confidence: 0.9836391 - word: as start: 2.48 end: 2.6399999 confidence: 0.86166006 - word: you start: 2.6399999 end: 2.8 confidence: 0.96505886 - word: toward start: 2.8 end: 3.3 confidence: 0.57675695 - word: mister start: 3.84 end: 4.16 confidence: 0.9973658 - word: rochester start: 4.16 end: 4.66 confidence: 0.9987276 - word: is start: 4.7999997 end: 4.96 confidence: 0.5949601 - word: served start: 4.96 end: 5.2 confidence: 0.35592097 - word: in start: 5.2 end: 5.3599997 confidence: 0.74498737 - word: that start: 5.3599997 end: 5.6 confidence: 0.99769324 - word: so start: 5.6 end: 5.8399997 confidence: 0.49508306 - word: don't start: 5.8399997 end: 6.08 confidence: 0.9334016 - word: find start: 6.08 end: 6.3999996 confidence: 0.97570974 - word: simpus start: 6.3999996 end: 6.8999996 confidence: 0.7262915 - word: and start: 7.2 end: 7.44 confidence: 0.9856228 - word: devoted start: 7.44 end: 7.94 confidence: 0.99713933 - word: to start: 8 end: 8.16 confidence: 0.9038218 - word: bowed start: 8.16 end: 8.66 confidence: 0.68124074 - word: to start: 9.084375 end: 9.164375 confidence: 0.9726658 - word: that start: 9.164375 end: 9.484375 confidence: 0.22552642 - word: might start: 9.484375 end: 9.644376 confidence: 0.9740415 - word: in start: 9.644376 end: 9.876875 confidence: 0.88410664 - word: a start: 9.876875 end: 10.109375 confidence: 0.5427023 x-microcks-operation: delay: 0 dispatcher: FALLBACK /tts: post: tags: - Voice summary: AIMLAPI Text to Speech description: This request returns an audio file. requestBody: content: application/json: schema: type: object example: model: '{{ttsModel}}' text: Hi! I'm your friendly assistant. responses: '200': description: Successful response content: application/json: {} x-microcks-operation: delay: 0 dispatcher: FALLBACK