Merge pull request #289 from jmorganca/docs

First draft of API Docs

docs/README.md

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+# Documentation
+
+- [Modelfile](./modelfile.md)
+- [How to develop Ollama](./development.md)
+- [API](./api.md)

docs/api.md

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+[Documentation Home](./README.md)
+
+# API
+
+- [Generate a Prompt](#generate-a-prompt)
+- [Create a Model](#create-a-model)
+- [List Local Models](#list-local-models)
+- [Copy a Model](#copy-a-model)
+- [Delete a Model](#delete-a-model)
+- [Pull a Model](#pull-a-model)
+
+## Things to keep in mind when using the API
+
+### Model name format
+
+The model name format today is model:tag`. Some examples are `orca:3b-q4_1` and `llama2:70b`. The tag is optional and if not provided will default to `latest`. The tag is used to identify a specific version.
+
+### Durations
+
+All durations are in nanoseconds.
+
+## Generate a Prompt
+
+**POST /api/generate**
+
+### Description
+
+**Generate** is the main endpoint that you will use when working with Ollama. This is used to generate a response to a prompt sent to a model. This is a streaming endpoint, so will be a series of responses. The final response will include the context and what is usually seen in the output from verbose mode.
+
+### Request
+
+The **Generate** endpoint takes a JSON object with the following fields:
+
+```JSON
+{
+  "model": "site/namespace/model:tag",
+  "prompt": "You are a software engineer working on building docs for Ollama.",
+  "options": {
+    "temperature": 0.7,
+  }
+}
+```
+
+**Options** can include any of the parameters listed in the [Modelfile](./modelfile.mdvalid-parameters-and-values) documentation. The only required parameter is **model**. If no **prompt** is provided, the model will generate a response to an empty prompt. If no **options** are provided, the model will use the default options from the Modelfile of the parent model.
+
+### Response
+
+The response is a stream of JSON objects with the following fields:
+
+```JSON
+{
+  "model": "modelname",
+  "created_at": "2023-08-04T08:52:19.385406455-07:00"
+  "response": "the current token",
+  "done": false
+}
+```
+
+The final response in the stream also includes the context and what is usually seen in the output from verbose mode. For example:
+
+```JSON
+{
+  "model":"orca",
+  "created_at":"2023-08-04T19:22:45.499127Z",
+  "done":true,
+  "total_duration":5589157167,
+  "load_duration":3013701500,
+  "sample_count":114,
+  "sample_duration":81442000,
+  "prompt_eval_count":46,
+  "prompt_eval_duration":1160282000,
+  "eval_count":113,
+  "eval_duration":1325948000
+}
+```
+
+| field                | description                                             |
+| -------------------- | ------------------------------------------------------- |
+| model                | the name of the model                                   |
+| created_at           | the time the response was generated                     |
+| response             | the current token                                       |
+| done                 | whether the response is complete                        |
+| total_duration       | total time in nanoseconds spent generating the response |
+| load_duration        | time spent in nanoseconds loading the model             |
+| sample_count         | number of samples generated                             |
+| sample_duration      | time spent generating samples                           |
+| prompt_eval_count    | number of times the prompt was evaluated                |
+| prompt_eval_duration | time spent in nanoseconds evaluating the prompt         |
+| eval_count           | number of times the response was evaluated              |
+| eval_duration        | time in nanoseconds spent evaluating the response       |
+
+### Example
+
+#### Request
+
+```shell
+curl -X POST 'http://localhost:11434/api/generate' -d \
+'{
+    "model": "orca",
+    "prompt": "why is the sky blue"
+}'
+```
+
+#### Response
+
+```json
+{"model":"orca","created_at":"2023-08-04T19:22:44.085127Z","response":" The","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.176425Z","response":" sky","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.18883Z","response":" appears","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.200852Z","response":" blue","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.213644Z","response":" because","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.225706Z","response":" of","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:44.237686Z","response":" a","done":false}
+...
+{"model":"orca","created_at":"2023-08-04T19:22:45.487113Z","response":".","done":false}
+{"model":"orca","created_at":"2023-08-04T19:22:45.499127Z","done":true,"total_duration":5589157167,"load_duration":3013701500,"sample_count":114,"sample_duration":81442000,"prompt_eval_count":46,"prompt_eval_duration":1160282000,"eval_count":113,"eval_duration":1325948000}
+```
+
+## Create a Model
+
+**POST /api/create**
+
+### Description
+
+**Create** takes a path to a Modelfile and creates a model. The Modelfile is documented [here](./modelfile.md).
+
+### Request
+
+The **Create** endpoint takes a JSON object with the following fields:
+
+```JSON
+{
+  "name": "modelname",
+  "path": "absolute path to Modelfile"
+}
+```
+
+### Response
+
+The response is a stream of JSON objects that have a single key/value pair for status. For example:
+
+```JSON
+{
+  "status": "parsing modelfile"
+}
+```
+
+### Example
+
+#### Request
+
+```shell
+curl --location --request POST 'http://localhost:11434/api/create' \
+--header 'Content-Type: text/plain' \
+--data-raw '{
+    "name": "myCoolModel",
+    "path": "/Users/matt/ollamamodelfiles/sentiments"
+}'
+```
+
+#### Response
+
+```JSON
+{"status":"parsing modelfile"}
+{"status":"looking for model"}
+{"status":"creating model template layer"}
+{"status":"creating config layer"}
+{"status":"using already created layer sha256:e84705205f71dd55be7b24a778f248f0eda9999a125d313358c087e092d83148"}
+{"status":"using already created layer sha256:93ca9b3d83dc541f11062c0b994ae66a7b327146f59a9564aafef4a4c15d1ef5"}
+{"status":"writing layer sha256:d3fe6fb39620a477da7720c5fa00abe269a018a9675a726320e18122b7142ee7"}
+{"status":"writing layer sha256:16cc83359b0395026878b41662f7caef433f5260b5d49a3257312b6417b7d8a8"}
+{"status":"writing manifest"}
+{"status":"success"}
+```
+
+## List Local Models
+
+**GET /api/tags**
+
+### Description
+
+**List** will list out the models that are available locally.
+
+### Request
+
+The **List** endpoint takes no parameters and is a simple GET request.
+
+### Response
+
+The response is a JSON object with a single key/value pair for models. For example:
+
+```JSON
+{
+  "models": [
+    {
+      "name": "modelname:tags",
+      "modified_at": "2023-08-04T08:52:19.385406455-07:00",
+      "size": 7323310500
+    }
+  ]
+}
+```
+
+### Example
+
+#### Request
+
+```shell
+curl 'http://localhost:11434/api/tags'
+```
+
+#### Response
+
+```JSON
+{
+    "models": [
+        {
+            "name": "llama2:70b",
+            "modified_at": "2023-08-04T08:52:19.385406455-07:00",
+            "size": 38871966966
+        },
+        {
+            "name": "llama2:70b-chat-q4_0",
+            "modified_at": "2023-08-04T09:21:27.703371485-07:00",
+            "size": 38871974480
+        },
+        {
+            "name": "midjourney-prompter:latest",
+            "modified_at": "2023-08-04T08:45:46.399609053-07:00",
+            "size": 7323311708
+        },
+        {
+            "name": "raycast_orca:3b",
+            "modified_at": "2023-08-04T06:23:20.10832636-07:00",
+            "size": 1928446602
+        },
+        {
+            "name": "stablebeluga:13b-q4_K_M",
+            "modified_at": "2023-08-04T09:48:26.416547463-07:00",
+            "size": 7865679045
+        }
+    ]
+}
+```
+
+## Copy a Model
+
+**POST /api/copy**
+
+### Description
+
+**Copy** will copy a model from one name to another. This is useful for creating a new model from an existing model. It is often used as the first step to renaming a model.
+
+### Request
+
+The **Copy** endpoint takes a JSON object with the following fields:
+
+```JSON
+{
+  "source": "modelname",
+  "destination": "newmodelname"
+}
+```
+
+### Response
+
+There is no response other than a 200 status code.
+
+### Example
+
+#### Request
+
+```shell
+curl -X POST 'http://localhost:11434/api/copy' -d \
+'{
+    "source": "MyCoolModel",
+    "destination": "ADifferentModel"
+}'
+```
+
+#### Response
+
+No response is returned other than a 200 status code.
+
+## Delete a Model
+
+**DELETE /api/delete**
+
+### Description
+
+**Delete** will delete a model from the local machine. This is useful for cleaning up models that are no longer needed.
+
+### Request
+
+The **Delete** endpoint takes a JSON object with a single key/value pair for modelname. For example:
+
+```JSON
+{
+  "model": "modelname"
+}
+```
+
+### Response
+
+No response is returned other than a 200 status code.
+
+### Example
+
+#### Request
+
+```shell
+curl -X DELETE 'http://localhost:11434/api/delete' -d \
+'{
+    "name": "adifferentModel"
+}'
+```
+
+#### Response
+
+No response is returned other than a 200 status code.
+
+## Pull a Model
+
+**POST /api/pull**
+
+### Description
+
+**Pull** will pull a model from a remote registry. This is useful for getting a model from the Ollama registry and in the future from alternate registries.
+
+### Request
+
+The **Pull** endpoint takes a JSON object with the following fields:
+
+```JSON
+{
+  "name": "modelname"
+}
+```
+
+### Response
+
+The response is a stream of JSON objects with the following format:
+
+```JSON
+{
+  "status":"downloading digestname",
+  "digest":"digestname",
+  "total":2142590208
+}
+```
+
+### Example
+
+#### Request
+
+```shell
+curl -X POST 'http://localhost:11434/api/pull' -d \
+'{
+    "name": "orca:3b-q4_1"
+}'
+```
+
+#### Response
+
+```JSON
+{"status":"pulling manifest"}
+{"status":"downloading sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","digest":"sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","total":2142590208}
+{"status":"downloading sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","digest":"sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","total":2142590208,"completed":1048576}
+...
+{"status":"downloading sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","digest":"sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","total":299}
+{"status":"downloading sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","digest":"sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","total":299,"completed":299}
+{"status":"verifying sha256 digest"}
+{"status":"writing manifest"}
+{"status":"success"}
+
+```