{"info":{"author":null,"author_email":"Together <dev-feedback@TogetherAI.com>","bugtrack_url":null,"classifiers":["Intended Audience :: Developers","License :: OSI Approved :: Apache Software License","Operating System :: MacOS","Operating System :: Microsoft :: Windows","Operating System :: OS Independent","Operating System :: POSIX","Operating System :: POSIX :: Linux","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: 3.14","Topic :: Software Development :: Libraries :: Python Modules","Typing :: Typed"],"description":"# Together Python API library\n\n<!-- prettier-ignore -->\n[![PyPI version](https://img.shields.io/pypi/v/together.svg?label=pypi%20(stable))](https://pypi.org/project/together/)\n\nThe Together Python library provides convenient access to the Together REST API from any Python 3.9+\napplication. The library includes type definitions for all request params and response fields,\nand offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).\n\nIt is generated with [Stainless](https://www.stainless.com/).\n\n## Documentation\n\nThe REST API documentation can be found on [docs.together.ai](https://docs.together.ai/). The full API of this library can be found in [api.md](https://github.com/togethercomputer/together-py/tree/main/api.md).\n\n## Installation\n\n```sh\npip install together\n```\n\n```sh\nuv add together\n```\n\n## Usage\n\nThe full API of this library can be found in [api.md](https://github.com/togethercomputer/together-py/tree/main/api.md).\n\n```python\nimport os\nfrom together import Together\n\nclient = Together(\n    api_key=os.environ.get(\"TOGETHER_API_KEY\"),  # This is the default and can be omitted\n)\n\nchat_completion = client.chat.completions.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test!\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n)\nprint(chat_completion.choices)\n```\n\nWhile you can provide an `api_key` keyword argument,\nwe recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)\nto add `TOGETHER_API_KEY=\"My API Key\"` to your `.env` file\nso that your API Key is not stored in source control.\n\n## Async usage\n\nSimply import `AsyncTogether` instead of `Together` and use `await` with each API call:\n\n```python\nimport os\nimport asyncio\nfrom together import AsyncTogether\n\nclient = AsyncTogether(\n    api_key=os.environ.get(\"TOGETHER_API_KEY\"),  # This is the default and can be omitted\n)\n\n\nasync def main() -> None:\n    chat_completion = await client.chat.completions.create(\n        messages=[\n            {\n                \"role\": \"user\",\n                \"content\": \"Say this is a test!\",\n            }\n        ],\n        model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n    )\n    print(chat_completion.choices)\n\n\nasyncio.run(main())\n```\n\nFunctionality between the synchronous and asynchronous clients is otherwise identical.\n\n### With aiohttp\n\nBy default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.\n\nYou can enable this by installing `aiohttp`:\n\n```sh\n# install from PyPI\npip install '--pre together[aiohttp]'\n```\n\nThen you can enable it by instantiating the client with `http_client=DefaultAioHttpClient()`:\n\n```python\nimport os\nimport asyncio\nfrom together import DefaultAioHttpClient\nfrom together import AsyncTogether\n\n\nasync def main() -> None:\n    async with AsyncTogether(\n        api_key=os.environ.get(\"TOGETHER_API_KEY\"),  # This is the default and can be omitted\n        http_client=DefaultAioHttpClient(),\n    ) as client:\n        chat_completion = await client.chat.completions.create(\n            messages=[\n                {\n                    \"role\": \"user\",\n                    \"content\": \"Say this is a test!\",\n                }\n            ],\n            model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n        )\n        print(chat_completion.choices)\n\n\nasyncio.run(main())\n```\n\n## Streaming responses\n\nWe provide support for streaming responses using Server Side Events (SSE).\n\n```python\nfrom together import Together\n\nclient = Together()\n\nstream = client.chat.completions.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test!\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n    stream=True,\n)\nfor chat_completion in stream:\n    print(chat_completion.choices)\n```\n\nThe async client uses the exact same interface.\n\n```python\nfrom together import AsyncTogether\n\nclient = AsyncTogether()\n\nstream = await client.chat.completions.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test!\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n    stream=True,\n)\nasync for chat_completion in stream:\n    print(chat_completion.choices)\n```\n\n## Using types\n\nNested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict). Responses are [Pydantic models](https://docs.pydantic.dev) which also provide helper methods for things like:\n\n- Serializing back into JSON, `model.to_json()`\n- Converting to a dictionary, `model.to_dict()`\n\nTyped requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.\n\n## Pagination\n\nList methods in the Together API are paginated.\n\nThis library provides auto-paginating iterators with each list response, so you do not have to request successive pages manually:\n\n```python\nfrom together import Together\n\nclient = Together()\n\nall_endpoints = []\n# Automatically fetches more pages as needed.\nfor endpoint in client.beta.endpoints.list(\n    project_id=\"projectId\",\n):\n    # Do something with endpoint here\n    all_endpoints.append(endpoint)\nprint(all_endpoints)\n```\n\nOr, asynchronously:\n\n```python\nimport asyncio\nfrom together import AsyncTogether\n\nclient = AsyncTogether()\n\n\nasync def main() -> None:\n    all_endpoints = []\n    # Iterate through items across all pages, issuing requests as needed.\n    async for endpoint in client.beta.endpoints.list(\n        project_id=\"projectId\",\n    ):\n        all_endpoints.append(endpoint)\n    print(all_endpoints)\n\n\nasyncio.run(main())\n```\n\nAlternatively, you can use the `.has_next_page()`, `.next_page_info()`, or `.get_next_page()` methods for more granular control working with pages:\n\n```python\nfirst_page = await client.beta.endpoints.list(\n    project_id=\"projectId\",\n)\nif first_page.has_next_page():\n    print(f\"will fetch next page using these details: {first_page.next_page_info()}\")\n    next_page = await first_page.get_next_page()\n    print(f\"number of items we just fetched: {len(next_page.data)}\")\n\n# Remove `await` for non-async usage.\n```\n\nOr just work directly with the returned data:\n\n```python\nfirst_page = await client.beta.endpoints.list(\n    project_id=\"projectId\",\n)\n\nprint(f\"next page cursor: {first_page.next_cursor}\")  # => \"next page cursor: ...\"\nfor endpoint in first_page.data:\n    print(endpoint.id)\n\n# Remove `await` for non-async usage.\n```\n\n## Nested params\n\nNested parameters are dictionaries, typed using `TypedDict`, for example:\n\n```python\nfrom together import Together\n\nclient = Together()\n\nchat_completion = client.chat.completions.create(\n    messages=[\n        {\n            \"content\": \"content\",\n            \"role\": \"system\",\n        }\n    ],\n    model=\"model\",\n    reasoning={},\n)\nprint(chat_completion.reasoning)\n```\n\nThe async client uses the exact same interface. If you pass a [`PathLike`](https://docs.python.org/3/library/os.html#os.PathLike) instance, the file contents will be read asynchronously automatically.\n\n## Handling errors\n\nWhen the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `together.APIConnectionError` is raised.\n\nWhen the API returns a non-success status code (that is, 4xx or 5xx\nresponse), a subclass of `together.APIStatusError` is raised, containing `status_code` and `response` properties.\n\nAll errors inherit from `together.APIError`.\n\n```python\nimport together\nfrom together import Together\n\nclient = Together()\n\ntry:\n    client.chat.completions.create(\n        messages=[\n            {\n                \"role\": \"user\",\n                \"content\": \"Say this is a test\",\n            }\n        ],\n        model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n    )\nexcept together.APIConnectionError as e:\n    print(\"The server could not be reached\")\n    print(e.__cause__)  # an underlying Exception, likely raised within httpx.\nexcept together.RateLimitError as e:\n    print(\"A 429 status code was received; we should back off a bit.\")\nexcept together.APIStatusError as e:\n    print(\"Another non-200-range status code was received\")\n    print(e.status_code)\n    print(e.response)\n```\n\nError codes are as follows:\n\n| Status Code | Error Type                 |\n| ----------- | -------------------------- |\n| 400         | `BadRequestError`          |\n| 401         | `AuthenticationError`      |\n| 403         | `PermissionDeniedError`    |\n| 404         | `NotFoundError`            |\n| 422         | `UnprocessableEntityError` |\n| 429         | `RateLimitError`           |\n| >=500       | `InternalServerError`      |\n| N/A         | `APIConnectionError`       |\n\n### Retries\n\nCertain errors are automatically retried 2 times by default, with a short exponential backoff.\nConnection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,\n429 Rate Limit, and >=500 Internal errors are all retried by default.\n\nYou can use the `max_retries` option to configure or disable retry settings:\n\n```python\nfrom together import Together\n\n# Configure the default for all requests:\nclient = Together(\n    # default is 2\n    max_retries=0,\n)\n\n# Or, configure per-request:\nclient.with_options(max_retries=5).chat.completions.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n)\n```\n\n### Timeouts\n\nBy default requests time out after 1 minute. You can configure this with a `timeout` option,\nwhich accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/timeouts/#fine-tuning-the-configuration) object:\n\n```python\nfrom together import Together\n\n# Configure the default for all requests:\nclient = Together(\n    # 20 seconds (default is 1 minute)\n    timeout=20.0,\n)\n\n# More granular control:\nclient = Together(\n    timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),\n)\n\n# Override per-request:\nclient.with_options(timeout=5.0).chat.completions.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n)\n```\n\nOn timeout, an `APITimeoutError` is thrown.\n\nNote that requests that time out are [retried twice by default](https://github.com/togethercomputer/together-py/tree/main/#retries).\n\n## Advanced\n\n### Logging\n\nWe use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.\n\nYou can enable logging by setting the environment variable `TOGETHER_LOG` to `info`.\n\n```shell\n$ export TOGETHER_LOG=info\n```\n\nOr to `debug` for more verbose logging.\n\n### How to tell whether `None` means `null` or missing\n\nIn an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:\n\n```py\nif response.my_field is None:\n  if 'my_field' not in response.model_fields_set:\n    print('Got json like {}, without a \"my_field\" key present at all.')\n  else:\n    print('Got json like {\"my_field\": null}.')\n```\n\n### Accessing raw response data (e.g. headers)\n\nThe \"raw\" Response object can be accessed by prefixing `.with_raw_response.` to any HTTP method call, e.g.,\n\n```py\nfrom together import Together\n\nclient = Together()\nresponse = client.chat.completions.with_raw_response.create(\n    messages=[{\n        \"role\": \"user\",\n        \"content\": \"Say this is a test\",\n    }],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n)\nprint(response.headers.get('X-My-Header'))\n\ncompletion = response.parse()  # get the object that `chat.completions.create()` would have returned\nprint(completion.choices)\n```\n\nThese methods return an [`APIResponse`](https://github.com/togethercomputer/together-py/tree/main/src/together/_response.py) object.\n\nThe async client returns an [`AsyncAPIResponse`](https://github.com/togethercomputer/together-py/tree/main/src/together/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.\n\n#### `.with_streaming_response`\n\nThe above interface eagerly reads the full response body when you make the request, which may not always be what you want.\n\nTo stream the response body, use `.with_streaming_response` instead, which requires a context manager and only reads the response body once you call `.read()`, `.text()`, `.json()`, `.iter_bytes()`, `.iter_text()`, `.iter_lines()` or `.parse()`. In the async client, these are async methods.\n\n```python\nwith client.chat.completions.with_streaming_response.create(\n    messages=[\n        {\n            \"role\": \"user\",\n            \"content\": \"Say this is a test\",\n        }\n    ],\n    model=\"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\",\n) as response:\n    print(response.headers.get(\"X-My-Header\"))\n\n    for line in response.iter_lines():\n        print(line)\n```\n\nThe context manager is required so that the response will reliably be closed.\n\n### Making custom/undocumented requests\n\nThis library is typed for convenient access to the documented API.\n\nIf you need to access undocumented endpoints, params, or response properties, the library can still be used.\n\n#### Undocumented endpoints\n\nTo make requests to undocumented endpoints, you can make requests using `client.get`, `client.post`, and other\nhttp verbs. Options on the client will be respected (such as retries) when making this request.\n\n```py\nimport httpx\n\nresponse = client.post(\n    \"/foo\",\n    cast_to=httpx.Response,\n    body={\"my_param\": True},\n)\n\nprint(response.headers.get(\"x-foo\"))\n```\n\n#### Undocumented request params\n\nIf you want to explicitly send an extra param, you can do so with the `extra_query`, `extra_body`, and `extra_headers` request\noptions.\n\n#### Undocumented response properties\n\nTo access undocumented response properties, you can access the extra fields like `response.unknown_prop`. You\ncan also get all the extra fields on the Pydantic model as a dict with\n[`response.model_extra`](https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_extra).\n\n### Configuring the HTTP client\n\nYou can directly override the [httpx client](https://www.python-httpx.org/api/#client) to customize it for your use case, including:\n\n- Support for [proxies](https://www.python-httpx.org/advanced/proxies/)\n- Custom [transports](https://www.python-httpx.org/advanced/transports/)\n- Additional [advanced](https://www.python-httpx.org/advanced/clients/) functionality\n\n```python\nimport httpx\nfrom together import Together, DefaultHttpxClient\n\nclient = Together(\n    # Or use the `TOGETHER_BASE_URL` env var\n    base_url=\"http://my.test.server.example.com:8083\",\n    http_client=DefaultHttpxClient(\n        proxy=\"http://my.test.proxy.example.com\",\n        transport=httpx.HTTPTransport(local_address=\"0.0.0.0\"),\n    ),\n)\n```\n\nYou can also customize the client on a per-request basis by using `with_options()`:\n\n```python\nclient.with_options(http_client=DefaultHttpxClient(...))\n```\n\n### Managing HTTP resources\n\nBy default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.\n\n```py\nfrom together import Together\n\nwith Together() as client:\n  # make requests here\n  ...\n\n# HTTP client is now closed\n```\n\n## Usage – CLI\n\n### Files\n\n```bash\n# Help\ntg files --help\n\n# Check file\ntg files check example.jsonl\n\n# Upload file\ntg files upload example.jsonl\n\n# List files\ntg files list\n\n# Retrieve file metadata\ntg files retrieve file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n\n# Retrieve file content\ntg files retrieve-content file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n\n# Delete remote file\ntg files delete file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n```\n\n### Fine-tuning\n\n```bash\n# `tg ft` and `tg fine-tuning` are equivalent\n\n# Help\ntg ft --help\n\n# Create fine-tune job\ntg ft create \\\n  --model togethercomputer/llama-2-7b-chat \\\n  --training-file file-711d8724-b3e3-4ae2-b516-94841958117d\n\n# List fine-tune jobs\ntg ft list\n\n# Retrieve fine-tune job details\ntg ft retrieve ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# List fine-tune job events\ntg ft list-events ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# Cancel running job\ntg ft cancel ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# Download fine-tuned model weights\ntg ft download ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n```\n\n### Models\n\n```bash\n# Help\ntg models --help\n\n# List models\ntg models list\n```\n\n## Versioning\n\nThis package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:\n\n1. Changes that only affect static types, without breaking runtime behavior.\n2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_\n3. Changes that we do not expect to impact the vast majority of users in practice.\n\nWe take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.\n\nWe are keen for your feedback; please open an [issue](https://www.github.com/togethercomputer/together-py/issues) with questions, bugs, or suggestions.\n\n### Determining the installed version\n\nIf you've upgraded to the latest version but aren't seeing any new features you were expecting then your python environment is likely still using an older version.\n\nYou can determine the version that is being used at runtime with:\n\n```py\nimport together\nprint(together.__version__)\n```\n\n## Requirements\n\nPython 3.9 or higher.\n\n## Usage – CLI\n\n### Files\n\n```bash\n# Help\ntg files --help\n\n# Check file\ntg files check example.jsonl\n\n# Upload file\ntg files upload example.jsonl\n\n# List files\ntg files list\n\n# Retrieve file metadata\ntg files retrieve file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n\n# Retrieve file content\ntg files retrieve-content file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n\n# Delete remote file\ntg files delete file-6f50f9d1-5b95-416c-9040-0799b2b4b894\n```\n\n### Fine-tuning\n\n```bash\n# `tg ft` and `tg fine-tuning` are equivalent\n\n# Help\ntg ft --help\n\n# Create fine-tune job\ntg ft create \\\n  --model togethercomputer/llama-2-7b-chat \\\n  --training-file file-711d8724-b3e3-4ae2-b516-94841958117d\n\n# List fine-tune jobs\ntg ft list\n\n# Retrieve fine-tune job details\ntg ft retrieve ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# List fine-tune job events\ntg ft list-events ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# List fine-tune checkpoints\ntg ft list-checkpoints ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# Cancel running job\ntg ft cancel ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# Download fine-tuned model weights\ntg ft download ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n\n# Delete fine-tuned model weights\ntg ft delete ft-c66a5c18-1d6d-43c9-94bd-32d756425b4b\n```\n\n### Models\n\n```bash\n# Help\ntg models --help\n\n# List models\ntg models list\n\n# Upload a model\ntg models upload --model-name my-org/my-model --model-source s3-or-hugging-face\n```\n\n### Clusters\n\n```bash\n# Help\ntg beta clusters --help\n\n# Create a cluster\ntg beta clusters create\n\n# List clusters\ntg beta clusters list\n\n# Retrieve cluster details\ntg beta clusters retrieve [cluster-id]\n\n# Update a cluster\ntg beta clusters update [cluster-id]\n\n# Retrieve Together cluster configuration options such as regions, gpu types and drivers available\ntg beta clusters list-regions\n```\n\n##### Cluster Storage\n\n```bash\n# Help\ntg beta clusters storage --help\n\n# Create cluster storage volume\ntg beta clusters storage create\n\n# List storage volumes\ntg beta clusters storage list\n\n# Retrieve storage volume\ntg beta clusters storage retrieve [storage-id]\n\n# Delete storage volume\ntg beta clusters storage delete [storage-id]\n```\n\n### Jig (Container Deployments)\n\n```bash\n# Help\ntg beta jig --help\n\n# Initialize jig configuration (creates pyproject.toml)\ntg beta jig init\n\n# Generate Dockerfile from config\ntg beta jig dockerfile\n\n# Build container image\ntg beta jig build\ntg beta jig build --tag v1.0 --warmup\n\n# Push image to registry\ntg beta jig push\ntg beta jig push --tag v1.0\n\n# Deploy model (builds, pushes, and deploys)\ntg beta jig deploy\ntg beta jig deploy --build-only\ntg beta jig deploy --image existing-image:tag\n\n# Get deployment status\ntg beta jig status\n\n# Get deployment endpoint URL\ntg beta jig endpoint\n\n# View deployment logs\ntg beta jig logs\ntg beta jig logs --follow\n\n# Destroy deployment\ntg beta jig destroy\n\n# Get queue metrics\ntg beta jig queue-status\n\n# List all deployments\ntg beta jig list\n```\n\n##### Jig Secrets\n\n```bash\n# Help\ntg beta jig secrets --help\n\n# Set a secret (creates or updates)\ntg beta jig secrets set --name MY_SECRET --value \"secret-value\"\n\n# Remove a secret from local state\ntg beta jig secrets unset --name MY_SECRET\n\n# List all secrets with sync status\ntg beta jig secrets list\n```\n\n##### Jig Volumes\n\n```bash\n# Help\ntg beta jig volumes --help\n\n# Create a volume and upload files from directory\ntg beta jig volumes create --name my-volume --source ./data\n\n# Update a volume with new files\ntg beta jig volumes update --name my-volume --source ./data\n\n# Set volume mount path for deployment\ntg beta jig volumes set --name my-volume --mount-path /app/data\n\n# Remove volume from deployment config (does not delete remote volume)\ntg beta jig volumes unset --name my-volume\n\n# Delete a volume\ntg beta jig volumes delete --name my-volume\n\n# Describe a volume\ntg beta jig volumes describe --name my-volume\n\n# List all volumes\ntg beta jig volumes list\n```\n\n## Contributing\n\nSee [the contributing 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