# ollama-haskell
[](https://hackage.haskell.org/package/ollama-haskell)
[](LICENSE)
Industry-grade, feature-complete, modern Haskell client library for the [Ollama](https://ollama.com) local LLM engine.
## Features
- **Client-Centric Architecture**: Thread-safe `OllamaClient` handle with connection pooling and resource management (`newClient`, `defaultClient`, `clientFromEnv`, `withClient`).
- **First-Class Streaming**: `conduit`-based response streaming (`chatStream`, `generateStream`, `pullStream`, `pushStream`, `createModelStream`).
- **Complete API Surface**: Text generation, chat completions, vector embeddings, model management (list, show, copy, delete, pull, push, create), and system endpoints.
- **Structured Outputs**: Powerful `SchemaBuilder` DSL (`|+`, `|++`, `|!`, `|!!`) for type-safe JSON Schema structured responses.
- **Function / Tool Calling**: Full support for tool definitions (`Tool`), tool calls (`ToolCall`), and execution results (`toolResultMessage`).
- **Thinking Models Support**: Native support for reasoning models (`qwen3.5`, `deepseek-r1`) with `Think` / `ThinkingLevel` types.
- **Environment & Auth Integration**: Robust URL normalization for `OLLAMA_HOST` and bearer token support for `OLLAMA_API_KEY`.
- **Configurable Resilience**: Flexible retry policies (`NoRetry`, `ConstantRetry`, `ExponentialRetry`), lifecycle callbacks, and structured logging.
- **Conversation Store**: Transactional STM-backed `InMemoryStore` and `ConversationStore` typeclass for managing multi-turn chat sessions.
- **SDK Comparison Matrix**: Detailed feature comparison against Python, JS/TS, and Go SDKs in [doc/COMPARISON.md](doc/COMPARISON.md).
---
## Installation
Add `ollama-haskell` to your `.cabal` file:
```cabal
build-depends:
base >= 4.17 && < 5
, ollama-haskell >= 0.3.0.0
```
Or using Stack in `package.yaml`:
```yaml
dependencies:
- ollama-haskell >= 0.3.0.0
```
---
## Quick Start (5 Lines)
```haskell
import Data.List.NonEmpty (NonEmpty ((:|)))
import Data.Text.IO qualified as TIO
import Ollama
main :: IO ()
main = do
client <- defaultClient
res <- chat client $ chatRequest "qwen3.5:2b" (userMessage "Why is the sky blue?" :| [])
case res of
Left err -> print err
Right resp -> mapM_ (TIO.putStrLn . messageContent) (crMessage resp)
```
---
## Streaming Responses with Conduit
Stream LLM responses token-by-token as they generate:
```haskell
import Data.List.NonEmpty (NonEmpty ((:|)))
import Data.Text.IO qualified as TIO
import Ollama
main :: IO ()
main = do
client <- defaultClient
let req = chatRequest "qwen3.5:2b" (userMessage "Count from 1 to 5." :| [])
-- Stream chunks directly into stdout or collect them
chunks <- collectStream (chatStream client req)
mapM_ (TIO.putStr . maybe "" messageContent . crMessage) chunks
putStrLn ""
```
---
## Function & Tool Calling
Define function signatures and let the LLM execute structured tool calls:
```haskell
import Data.List.NonEmpty (NonEmpty ((:|)))
import Ollama
calculatorTool :: Tool
calculatorTool = Tool "function" $ FunctionDef
{ fnName = "add"
, fnDescription = Just "Add two numbers"
, fnParameters = Just (FunctionParameters "object" Nothing (Just ["a", "b"]) Nothing Nothing Nothing)
, fnStrict = Just True
}
main :: IO ()
main = do
client <- defaultClient
let req = (chatRequest "qwen3.5:2b" (userMessage "What is 40 + 2?" :| []))
{ chatTools = Just [calculatorTool] }
res <- chat client req
case res of
Left err -> print err
Right resp -> print (crMessage resp)
```
---
## Structured Outputs (JSON Schema DSL)
Enforce structured JSON output formats using `SchemaBuilder`:
```haskell
import Data.Text.IO qualified as TIO
import Ollama
import Ollama.Types.Format.SchemaBuilder
personSchema :: Schema
personSchema = buildSchema $ emptyObject
|+ ("name", JString)
|+ ("age", JInteger)
|! "name"
main :: IO ()
main = do
client <- defaultClient
let req = (generateRequest "qwen3.5:2b" "Generate a person profile.")
{ genFormat = Just (SchemaFormat personSchema) }
res <- generate client req
case res of
Left err -> print err
Right resp -> TIO.putStrLn (grResponse resp)
```
---
## Environment Variables & Configuration
Construct a client using environment variables (`OLLAMA_HOST`, `OLLAMA_API_KEY`):
```haskell
main :: IO ()
main = do
client <- clientFromEnv
-- Automatically connects to OLLAMA_HOST with optional Authorization: Bearer header
...
```
Or configure custom retry policies and loggers:
```haskell
customConfig :: OllamaClientConfig
customConfig = defaultConfig
{ configBaseUrl = "http://my-ollama-server:11434"
, configTimeout = 120
, configRetry = ExponentialRetry 3 1 -- 3 retries with exponential backoff
, configLogger = Just (\level msg -> putStrLn $ "[" <> show level <> "] " <> show msg)
}
main :: IO ()
main = withClient customConfig $ \client -> do
...
```
---
## Documentation & SDK Comparison
- [doc/COMPARISON.md](doc/COMPARISON.md) — SDK Feature Matrix comparing `ollama-haskell` with Python, JS/TS, and Go SDKs.
- [ARCHITECTURE.md](ARCHITECTURE.md) — Detailed internal module design and extension guide.
- [CONTRIBUTING.md](CONTRIBUTING.md) — Development setup, testing guidelines, and code style.
- [CHANGELOG.md](CHANGELOG.md) — Release notes and changelog.
- [Hackage Documentation](https://hackage.haskell.org/package/ollama-haskell) — Full Haddock reference.
---
## License
MIT © 2024–2026 Tushar Adhatrao