Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai
README.md4.86 kB
# Overview ## Features * [**Phoenix Client**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/) - Lightweight client for interacting with the Phoenix server via its OpenAPI REST interface * [**Datasets**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/datasets.html) - Create and manage datasets for experimentation * [**Experiments**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/experiments.html) - Run experiments and evaluate model performance * [**Prompts**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/prompts.html) - Manage prompt templates and versions * [**Spans**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/spans.html) - Access and analyze traces and spans * [**Annotations**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/annotations.html) - Add annotations, evals, and feedback to spans * [**Sessions**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/sessions.html) - Add session annotations to multi-turn conversations and threads * [**Projects**](https://arize-phoenix.readthedocs.io/projects/client/en/latest/api/projects.html) - Organize your work with project management * [**Phoenix Evals**](https://arize-phoenix.readthedocs.io/projects/evals/en/latest/) - Tooling to evaluate LLM applications including RAG relevance, answer relevance, and more * [**Phoenix OTEL**](https://arize-phoenix.readthedocs.io/projects/otel/en/latest/) - Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults  ## Installation Install via `pip`. ```shell pip install -Uq arize-phoenix-client ``` ## Usage ```python from phoenix.client import Client client = Client(base_url="your-server-url") # base_url defaults to http://localhost:6006 ``` ### Authentication (if applicable) Phoenix API key can be an environment variable... ```python import os os.environ["PHOENIX_API_KEY"] = "your-api-key" ``` ...or passed directly to the client. ```python from phoenix.client import Client client = Client(api_key="your-api-key") ``` ### Custom Headers By default, the Phoenix client will use the bearer authentication scheme in the HTTP headers, but if you need different headers, e.g. for Phoenix Cloud, they can also be customized via an environment variable... ```python import os os.environ["PHOENIX_CLIENT_HEADERS"] = "api-key=your-api-key," # use `api-key` for Phoenix Cloud ``` ...or passed directly to the client. ```python from phoenix.client import Client client = Client(headers={"api-key": "your-api-key"}) # use `api-key` for Phoenix Cloud ``` ## Prompt Management With the Phoenix client, you can push and pull prompts to and from your Phoenix server. ```python from phoenix.client import Client from phoenix.client.types import PromptVersion # Change base_url to your Phoenix server URL base_url = "http://localhost:6006" client = Client(base_url=base_url) # prompt identifier consists of alphanumeric characters, hyphens or underscores prompt_identifier = "haiku-writer" content = "Write a haiku about {{topic}}" prompt = client.prompts.create( name=prompt_identifier, version=PromptVersion( [{"role": "user", "content": content}], model_name="gpt-4o-mini", ), ) ``` The client can retrieve a prompt by its name. ```python prompt = client.prompts.get(prompt_identifier=prompt_identifier) ``` The prompt can be used to generate completions. ```python from openai import OpenAI variables = {"topic": "programming"} resp = OpenAI().chat.completions.create(**prompt.format(variables=variables)) print(resp.choices[0].message.content) ``` To learn more about prompt engineering using Phenix, see the [Phoenix documentation](https://arize.com/docs/phoenix/prompt-engineering/how-to-prompts). ## Project Management The Phoenix client provides synchronous and asynchronous interfaces for interacting with Phoenix Projects. ### Key Features * **Get** a project by ID or name * **List** all projects * **Create a new project with optional description** * **Update** a project’s description (note: names cannot be changed) * **Delete** a project by ID or name ### Usage Examples ```python from phoenix.client import Client client = Client(base_url="your-server-url") # List all projects projects = client.projects.list() # Get a project by ID or name project = client.projects.get(project_id="UHJvamVjdDoy") project = client.projects.get(project_name="My Project") # Create a project new_project = client.projects.create( name="New Project", description="This is a new project" ) # Update a project updated_project = client.projects.update( project_id="UHJvamVjdDoy", description="Updated description" ) # Delete a project client.projects.delete(project_name="My Project") ```

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Arize-ai/phoenix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server