# Python SDK Reference
## Shared Types
```python
from llama_stack_client.types import (
Attachment,
BatchCompletion,
CompletionMessage,
SamplingParams,
SystemMessage,
ToolCall,
ToolResponseMessage,
UserMessage,
)
```
## Telemetry
Types:
```python
from llama_stack_client.types import TelemetryGetTraceResponse
```
Methods:
- client.telemetry.get_trace(\*\*params) -> TelemetryGetTraceResponse
- client.telemetry.log(\*\*params) -> None
## Agents
Types:
```python
from llama_stack_client.types import (
InferenceStep,
MemoryRetrievalStep,
RestAPIExecutionConfig,
ShieldCallStep,
ToolExecutionStep,
ToolParamDefinition,
AgentCreateResponse,
)
```
Methods:
- client.agents.create(\*\*params) -> AgentCreateResponse
- client.agents.delete(\*\*params) -> None
### Sessions
Types:
```python
from llama_stack_client.types.agents import Session, SessionCreateResponse
```
Methods:
- client.agents.sessions.create(\*\*params) -> SessionCreateResponse
- client.agents.sessions.retrieve(\*\*params) -> Session
- client.agents.sessions.delete(\*\*params) -> None
### Steps
Types:
```python
from llama_stack_client.types.agents import AgentsStep
```
Methods:
- client.agents.steps.retrieve(\*\*params) -> AgentsStep
### Turns
Types:
```python
from llama_stack_client.types.agents import AgentsTurnStreamChunk, Turn, TurnStreamEvent
```
Methods:
- client.agents.turns.create(\*\*params) -> AgentsTurnStreamChunk
- client.agents.turns.retrieve(\*\*params) -> Turn
## Datasets
Types:
```python
from llama_stack_client.types import TrainEvalDataset
```
Methods:
- client.datasets.create(\*\*params) -> None
- client.datasets.delete(\*\*params) -> None
- client.datasets.get(\*\*params) -> TrainEvalDataset
## Evaluate
Types:
```python
from llama_stack_client.types import EvaluationJob
```
### Jobs
Types:
```python
from llama_stack_client.types.evaluate import (
EvaluationJobArtifacts,
EvaluationJobLogStream,
EvaluationJobStatus,
)
```
Methods:
- client.evaluate.jobs.list() -> EvaluationJob
- client.evaluate.jobs.cancel(\*\*params) -> None
#### Artifacts
Methods:
- client.evaluate.jobs.artifacts.list(\*\*params) -> EvaluationJobArtifacts
#### Logs
Methods:
- client.evaluate.jobs.logs.list(\*\*params) -> EvaluationJobLogStream
#### Status
Methods:
- client.evaluate.jobs.status.list(\*\*params) -> EvaluationJobStatus
### QuestionAnswering
Methods:
- client.evaluate.question_answering.create(\*\*params) -> EvaluationJob
## Evaluations
Methods:
- client.evaluations.summarization(\*\*params) -> EvaluationJob
- client.evaluations.text_generation(\*\*params) -> EvaluationJob
## Inference
Types:
```python
from llama_stack_client.types import (
ChatCompletionStreamChunk,
CompletionStreamChunk,
TokenLogProbs,
InferenceChatCompletionResponse,
InferenceCompletionResponse,
)
```
Methods:
- client.inference.chat_completion(\*\*params) -> InferenceChatCompletionResponse
- client.inference.completion(\*\*params) -> InferenceCompletionResponse
### Embeddings
Types:
```python
from llama_stack_client.types.inference import Embeddings
```
Methods:
- client.inference.embeddings.create(\*\*params) -> Embeddings
## Safety
Types:
```python
from llama_stack_client.types import RunSheidResponse
```
Methods:
- client.safety.run_shield(\*\*params) -> RunSheidResponse
## Memory
Types:
```python
from llama_stack_client.types import (
QueryDocuments,
MemoryCreateResponse,
MemoryRetrieveResponse,
MemoryListResponse,
MemoryDropResponse,
)
```
Methods:
- client.memory.create(\*\*params) -> object
- client.memory.retrieve(\*\*params) -> object
- client.memory.update(\*\*params) -> None
- client.memory.list() -> object
- client.memory.drop(\*\*params) -> str
- client.memory.insert(\*\*params) -> None
- client.memory.query(\*\*params) -> QueryDocuments
### Documents
Types:
```python
from llama_stack_client.types.memory import DocumentRetrieveResponse
```
Methods:
- client.memory.documents.retrieve(\*\*params) -> DocumentRetrieveResponse
- client.memory.documents.delete(\*\*params) -> None
## PostTraining
Types:
```python
from llama_stack_client.types import PostTrainingJob
```
Methods:
- client.post_training.preference_optimize(\*\*params) -> PostTrainingJob
- client.post_training.supervised_fine_tune(\*\*params) -> PostTrainingJob
### Jobs
Types:
```python
from llama_stack_client.types.post_training import (
PostTrainingJobArtifacts,
PostTrainingJobLogStream,
PostTrainingJobStatus,
)
```
Methods:
- client.post_training.jobs.list() -> PostTrainingJob
- client.post_training.jobs.artifacts(\*\*params) -> PostTrainingJobArtifacts
- client.post_training.jobs.cancel(\*\*params) -> None
- client.post_training.jobs.logs(\*\*params) -> PostTrainingJobLogStream
- client.post_training.jobs.status(\*\*params) -> PostTrainingJobStatus
## RewardScoring
Types:
```python
from llama_stack_client.types import RewardScoring, ScoredDialogGenerations
```
Methods:
- client.reward_scoring.score(\*\*params) -> RewardScoring
## SyntheticDataGeneration
Types:
```python
from llama_stack_client.types import SyntheticDataGeneration
```
Methods:
- client.synthetic_data_generation.generate(\*\*params) -> SyntheticDataGeneration
## BatchInference
Types:
```python
from llama_stack_client.types import BatchChatCompletion
```
Methods:
- client.batch_inference.chat_completion(\*\*params) -> BatchChatCompletion
- client.batch_inference.completion(\*\*params) -> BatchCompletion
## Models
Types:
```python
from llama_stack_client.types import ModelServingSpec
```
Methods:
- client.models.list() -> ModelServingSpec
- client.models.get(\*\*params) -> Optional
## MemoryBanks
Types:
```python
from llama_stack_client.types import MemoryBankSpec
```
Methods:
- client.memory_banks.list() -> MemoryBankSpec
- client.memory_banks.get(\*\*params) -> Optional
## Shields
Types:
```python
from llama_stack_client.types import ShieldSpec
```
Methods:
- client.shields.list() -> ShieldSpec
- client.shields.get(\*\*params) -> Optional