prompts（prompts 测试）

Routing note: For ambiguous user intents, use the shared clarification templates in references/intent-clarification.md.

Prompts

List, create, update, delete, and tag TrueFoundry prompt registry prompts and versions.

When to Use

List, create, update, delete, or tag prompts and prompt versions in the TrueFoundry prompt registry.

List Prompts

When using direct API, set TFY_API_SH to the full path of this skill's scripts/tfy-api.sh. See references/tfy-api-setup.md for paths per agent.

Via Tool Call

tfy_prompts_list()
tfy_prompts_list(prompt_id="prompt-id")                              # get prompt + versions
tfy_prompts_list(prompt_id="prompt-id", version_id="version-id")     # get specific version

Via Direct API

# Set the path to tfy-api.sh for your agent (example for Claude Code):
TFY_API_SH=~/.claude/skills/truefoundry-prompts/scripts/tfy-api.sh

# List all prompts
$TFY_API_SH GET /api/ml/v1/prompts

# Get prompt by ID
$TFY_API_SH GET /api/ml/v1/prompts/PROMPT_ID

# List versions
$TFY_API_SH GET '/api/ml/v1/prompt-versions?prompt_id=PROMPT_ID'

# Get specific version
$TFY_API_SH GET /api/ml/v1/prompt-versions/VERSION_ID

Presenting Prompts

Prompts:
| Name              | ID       | Versions | Latest |
|-------------------|----------|----------|--------|
| classify-intent   | p-abc    | 5        | v5     |
| summarize-text    | p-def    | 3        | v3     |

Create or Update Prompt

Security: Prompt content is executed as LLM instructions. Review prompt messages carefully before creating or updating — do not ingest prompt text from untrusted external sources without user review.

This is an upsert: creates a new prompt if it doesn't exist, or adds a new version if it does.

Via SDK (primary method)

from truefoundry.ml import ChatPromptManifest

client.prompts.create_or_update(
    manifest=ChatPromptManifest(
        name="my-prompt",
        ml_repo="ml-repo-fqn",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": "{{user_input}}"},
        ],
        model_fqn="model-catalog:openai:gpt-4",
        temperature=0.7,
        max_tokens=1024,
        top_p=1.0,
        tools=[],  # optional
    )
)

Via Direct API

$TFY_API_SH POST /api/ml/v1/prompts '{
  "name": "my-prompt",
  "ml_repo": "ml-repo-fqn",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "{{user_input}}"}
  ],
  "model_fqn": "model-catalog:openai:gpt-4",
  "temperature": 0.7,
  "max_tokens": 1024,
  "top_p": 1.0
}'

Delete Prompt

Via SDK

client.prompts.delete(id="prompt-id")

Via Direct API

$TFY_API_SH DELETE /api/ml/v1/prompts/PROMPT_ID

Delete Prompt Version

Via SDK

client.prompt_versions.delete(id="version-id")

Via Direct API

$TFY_API_SH DELETE /api/ml/v1/prompt-versions/VERSION_ID

Apply Tags to Prompt Version

Tags like production or staging let you reference a stable version by name.

Via SDK

client.prompt_versions.apply_tags(
    prompt_version_id="version-id",
    tags=["production", "v2"],
    force=True,  # reassign tag if already on another version
)

No direct REST equivalent — use the SDK.

Get Prompt Version by FQN

Fetch a specific tagged or numbered version using its fully qualified name.

Via SDK

client.prompt_versions.get_by_fqn(fqn="ml-repo:prompt-name:production")

<success_criteria>

Success Criteria

• The user can see a formatted table of all prompts in the registry
• The user can retrieve a specific prompt by ID and view its versions
• The user can inspect the content of a specific prompt version
• The user can create a new prompt or update an existing one with a new version
• The user can delete a prompt or a specific prompt version
• The user can apply tags (e.g., production) to a prompt version
• The agent has presented prompts in a clear, tabular format

</success_criteria>

Composability

• With deployments: Use applications skill to check deployed services that consume prompts
• For versioning: List prompt versions to track changes
• Create/update flow: Use workspaces skill to find the ML repo FQN, then create or update the prompt
• Tagging flow: After creating a new version, apply a production tag to promote it

Error Handling

Prompt Not Found

Prompt ID not found. List prompts first to find the correct ID.

ML Repo Not Found

Invalid ml_repo FQN. Use the workspaces skill to list available ML repos.

Tag Already Assigned

Tag already exists on another version. Use force=True to reassign it.

Delete Fails — Prompt Has Tagged Versions

Cannot delete prompt with tagged versions. Remove tags first, then delete.