OpenAI and Ollama Clients

modules/ai/README.md

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+OpenAI and Ollama Clients
+
+- Streaming output
+- The OpenAI interface employs the `ai` prefix for user-friendly input.
+- Option for controllable return values
+- Supports chat context retention
+- Customizable prompt functionality for `ai do`
+  - Refer to [prompt.nu](prompt.nu) for definition guidelines
+  - Default model can be overridden using `--model`
+- Importing and exporting of Ollama models
+- Connection details managed through environment variables

modules/ai/mod.nu

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+export-env {
+    use ollama.nu *
+    use openai.nu *
+    use prompt.nu *
+}
+
+export use ollama.nu *
+export use openai.nu *
+
+
+export def 'similarity cosine' [a b] {
+    if ($a | length) != ($b | length) {
+        print "The lengths of the vectors must be equal."
+    }
+    $a | zip $b | reduce -f {p: 0, a: 0, b: 0} {|i,a|
+        {
+            p: ($a.p + ($i.0 * $i.1))
+            a: ($a.a + ($i.0 * $i.0))
+            b: ($a.b + ($i.1 * $i.1))
+        }
+    }
+    | $in.p / (($in.a | math sqrt) * ($in.b | math sqrt))
+}
+

modules/ai/ollama.nu

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+export-env {
+    $env.OLLAMA_HOST = "http://localhost:11434"
+    $env.OLLAMA_CHAT = {}
+    $env.OLLAMA_HOME = [$env.HOME .ollama] | path join
+}
+
+def "nu-complete models" [] {
+    http get $"($env.OLLAMA_HOST)/api/tags"
+    | get models
+    | each {{value: $in.name, description: $in.modified_at}}
+}
+
+export def "ollama info" [model: string@"nu-complete models"] {
+    http post -t application/json $"($env.OLLAMA_HOST)/api/show" {name: $model}
+}
+
+export def "ollama embed" [
+    model: string@"nu-complete models"
+    input: string
+] {
+    http post -t application/json $"($env.OLLAMA_HOST)/api/embed" {
+        model: $model, input: [$input]
+    }
+    | get embeddings.0
+}
+
+
+export def "ollama gen" [
+    model: string@"nu-complete models"
+    prompt: string
+    --image(-i): path
+    --full(-f)
+] {
+    let content = $in | default ""
+    let img = if ($image | is-empty) {
+        {}
+    } else {
+        {images: [(open $image | encode base64)]}
+    }
+    let r = http post -t application/json $"($env.OLLAMA_HOST)/api/generate" {
+        model: $model
+        prompt: ($prompt | str replace "{}" $content)
+        stream: false
+        ...$img
+    }
+    if $full {
+        $r
+    } else {
+        $r.response
+    }
+}
+
+
+export def --env "ollama chat" [
+    model: string@"nu-complete models"
+    message: string
+    --image(-i): path
+    --reset(-r)
+    --forget(-f)
+    --placehold(-p): string = '{}'
+    --out(-o)
+    --debug
+] {
+    let content = $in | default ""
+    let img = if ($image | is-empty) {
+        {}
+    } else {
+        {images: [(open $image | encode base64)]}
+    }
+    let msg = {
+        role: "user"
+        content: ($message | str replace -m $placehold $content)
+        ...$img
+    }
+    if $debug {
+        print $"(ansi grey)($msg.content)(ansi reset)"
+    }
+    if not $forget {
+        if ($env.OLLAMA_CHAT | is-empty) or ($model not-in $env.OLLAMA_CHAT) {
+            $env.OLLAMA_CHAT = ($env.OLLAMA_CHAT | insert $model [])
+        }
+        if $reset {
+            $env.OLLAMA_CHAT = ($env.OLLAMA_CHAT | update $model [])
+            print '✨'
+        }
+        $env.OLLAMA_CHAT = ($env.OLLAMA_CHAT | update $model {|x| $x | get $model | append $msg})
+    }
+
+    let r = http post -t application/json $"($env.OLLAMA_HOST)/api/chat" {
+        model: $model
+        messages: [
+            ...(if $forget { [] } else { $env.OLLAMA_CHAT | get $model })
+            $msg
+        ]
+        stream: true
+    }
+    | lines
+    | reduce -f {msg: '', token: 0} {|i,a|
+        let x = $i | parse -r '.*?(?<data>\{.*)'
+        if ($x | is-empty) { return $a }
+        let x = $x | get 0.data | from json
+        let m = $x.message.content
+        print -n $m
+        $a
+        | update msg {|x| $x.msg + $m }
+        | update token {|x| $x.token + 1 }
+    }
+    if not $forget {
+        let r = {role: 'assistant', content: $r.msg, token: $r.token}
+        $env.OLLAMA_CHAT = ($env.OLLAMA_CHAT | update $model {|x| $x | get $model | append $r })
+    }
+    if $out { $r.msg }
+}
+
+
+
+
+def "nu-complete ollama model" [] {
+    cd $"($env.OLLAMA_HOME)/models/manifests/"
+    ls **/* | where type == file | get name
+}
+
+export def "ollama export" [
+    model: string@"nu-complete ollama model"
+    target
+    --home: string
+] {
+    if ($target | path exists) {
+        if ([y n] | input list "already exists, remove it?") == 'y' {
+            rm -rf $target
+        } else {
+            return
+        }
+    }
+    mkdir $target
+
+    let base = {
+        blob: ([$env.OLLAMA_HOME models blobs] | path join)
+        manifests: ([$env.OLLAMA_HOME models manifests] | path join)
+    }
+
+    let tg = {
+        bin: ([$target model.bin] | path join)
+        model: ([$target Modelfile] | path join)
+        source: ([$target source.txt] | path join)
+    }
+
+    $model | split row '/' | $"($in | range 0..<-1 | str join '/'):($in | last)" | save $tg.source
+
+
+    let manifests = open ([$base.manifests $model] | path join) | from json
+
+    for i in $manifests.layers {
+
+        let digest = $i.digest
+        let type = $i.mediaType | split row '.' | last
+        let blob = [$base.blob ($i.digest | str replace ':' '-')] | path join
+        match $type {
+            model => {
+                cp $blob $tg.bin
+                $"FROM ./model.bin(char newline)" | save -a $tg.model
+            }
+            params => {
+                let p = open $blob | from json
+                $p
+                | items {|k,v| {k: $k, v: $v} }
+                | each {|x| $x.v | each {|y| $'PARAMETER ($x.k) "($y)"' } }
+                | flatten
+                | str join (char newline)
+                | $"(char newline)($in)"
+                | save -a $tg.model
+            }
+            _ => {
+                $'(char newline)($type | str upcase) """(cat $blob)"""' | save -a $tg.model
+            }
+        }
+    }
+
+    print 'success'
+}
+
+export def "ollama import" [dir] {
+    cd $dir
+    let model = cat source.txt
+    ollama create $model
+}

modules/ai/openai.nu

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+export-env {
+    $env.OPENAI_HOST = "http://localhost:11434"
+    $env.OPENAI_CHAT = {}
+    $env.OPENAI_API_KEY = 'secret'
+    $env.OPENAI_ORG_ID = ''
+    $env.OPENAI_PROJECT_ID = ''
+}
+
+
+def "nu-complete models" [] {
+    http get --headers [
+        Authorization $"Bearer ($env.OPENAI_API_KEY)"
+        OpenAI-Organization $env.OPENAI_ORG_ID
+        OpenAI-Project $env.OPENAI_PROJECT_ID
+    ] $"($env.OPENAI_HOST)/v1/models"
+    | get data.id
+}
+
+
+export def --env "ai chat" [
+    model: string@"nu-complete models"
+    message: string
+    --image(-i): path
+    --reset(-r)
+    --forget(-f)
+    --placehold(-p): string = '{}'
+    --out(-o)
+    --debug
+] {
+    let content = $in | default ""
+    let img = if ($image | is-empty) {
+        {}
+    } else {
+        {images: [(open $image | encode base64)]}
+    }
+    let msg = {
+        role: "user"
+        content: ($message | str replace -m $placehold $content)
+        ...$img
+    }
+    if $debug {
+        print $"(ansi grey)($message)\n---\n($placehold)\n---(ansi reset)"
+        print $"(ansi grey)($msg.content)\n---(ansi reset)"
+    }
+    if not $forget {
+        if ($env.OPENAI_CHAT | is-empty) or ($model not-in $env.OPENAI_CHAT) {
+            $env.OPENAI_CHAT = ($env.OPENAI_CHAT | insert $model [])
+        }
+        if $reset {
+            $env.OPENAI_CHAT = ($env.OPENAI_CHAT | update $model [])
+            print '✨'
+        }
+        $env.OPENAI_CHAT = ($env.OPENAI_CHAT | update $model {|x| $x | get $model | append $msg})
+    }
+
+    let r = http post -t application/json --headers [
+        Authorization $"Bearer ($env.OPENAI_API_KEY)"
+    ] $"($env.OPENAI_HOST)/v1/chat/completions" {
+        model: $model
+        messages: [
+            ...(if $forget { [] } else { $env.OPENAI_CHAT | get $model })
+            $msg
+        ]
+        stream: true
+    }
+    | lines
+    | reduce -f {msg: '', token: 0} {|i,a|
+        let x = $i | parse -r '.*?(?<data>\{.*)'
+        if ($x | is-empty) { return $a }
+        let x = $x | get 0.data | from json
+        let m = $x.choices | each { $in.delta.content } | str join
+        print -n $m
+        $a
+        | update msg {|x| $x.msg + $m }
+        | update token {|x| $x.token + 1 }
+    }
+    if not $forget {
+        let r = {role: 'assistant', content: $r.msg, token: $r.token}
+        $env.OPENAI_CHAT = ($env.OPENAI_CHAT | update $model {|x| $x | get $model | append $r })
+    }
+    if $out { $r.msg }
+}
+
+
+export def "ai embed" [
+    model: string@"nu-complete models"
+    input: string
+] {
+    http post -t application/json $"($env.OPENAI_HOST)/v1/embeddings" {
+        model: $model, input: [$input], encoding_format: 'float'
+    }
+    | get data.0.embedding
+}
+
+
+def 'nu-complete role' [ctx] {
+    $env.OPENAI_PROMPT | items {|k, v| {value: $k, description: $v.description? } }
+}
+
+export def 'ai do' [
+    role: string@"nu-complete role"
+    input?: string
+    --out(-o)
+    --model(-m): string@"nu-complete models"
+    --debug
+] {
+    let input = if ($in | is-empty) { $input } else { $in }
+    let placehold = $"<(random chars -l 6)>"
+    let role = $env.OPENAI_PROMPT | get $role
+    let model = if ($model | is-empty) {
+        $role | get model
+    } else {
+        $model
+    }
+    let prompt = $role | get prompt | each {|x|
+        if ($x | str replace -ar "['\"`]+" '' | $in == '{}') {
+            $x | str replace '{}' $placehold
+        } else {
+            $x
+        }
+    } | str join (char newline)
+
+    $input | ai chat $model -p $placehold --out=$out --debug=$debug $prompt
+}

modules/ai/prompt.nu

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+export-env {
+    $env.OPENAI_PROMPT = {
+        'json-to-sql': {
+            prompt: [
+                "Analyze the following JSON data to convert it into a SQL statement for creating a table:"
+                "```"
+                "{}"
+                "```"
+            ],
+            model: 'qwen2:1.5b',
+            description: 'Analyze JSON content, converting it into a SQL create table statement'
+        },
+        'trans-to-en': {
+            prompt: [
+                "Translate the following text into English:"
+                "```"
+                "{}"
+                "```"
+            ],
+            model: 'qwen2:1.5b',
+            description: 'Translation to English'
+        }
+
+    }
+}